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www.udantech.com
Focus Simplicity Trust
End-Cloud Integrated
Intelligent Management Solution
C&I Energy Storage
contact@udantech.com
UDAN 2026 Product Catalogue
CONTENT
UDAN 2026 Product Catalogue
Application Scenarios P23
Application Challenges
Our Solutions
P1
P3
Intelligent Hardwares P5
Intelligent Data P17
Sample Projects P25
Intelligent Applications P12 About Us P27
OUR VISION
To Become A Global AI Leader In The New Energy Sector
CONTENT
UDAN 2026 Product Catalogue
Application Scenarios P23
Application Challenges
Our Solutions
P1
P3
Intelligent Hardwares P5
Intelligent Data P17
Sample Projects P25
Intelligent Applications P12 About Us P27
OUR VISION
To Become A Global AI Leader In The New Energy Sector
Eficiency
Economy
Lithium batteries lacking efiective management pose significant safety risks. When
subjected to thermal shock, overcharging, over-discharging, short circuits, vibration, or
compression, the active materials and electrolyte inside may undergo unexpected
chemical reactions, triggering thermal runaway. Proactive anomaly detection and early
warning systems are essential.
APPLICATION CHALLENGES
C&I energy storage is a typical application of distributed energy storage
systems on the consumer side, aiming to provide more efflcient, economical, and secure energy solutions for high-energy-consumption scenarios
such as factories, shopping malls, integrated photovoltaic-storage-charging systems, microgrids, and data centers.
ENERGY STORAGE
Commercial & Industry
APPLICATION CHALLENGES PAGE ??/??
C&I energy storage systems involve high investment costs and extended payback
periods. Profitability is achieved through peak shaving, demand response management,
and enhanced integration of renewable energy sources like wind and solar. Participation in virtual power plants can generate additional revenue. The economic viability of
storage systems hinges on intelligent operational management strategies that optimize
performance across multiple influencing factors throughout the entire lifecycle.
The state of lithium batteries continuously evolves throughout their entire lifecycle.
However, traditional BMS management parameters calibrated using laboratory
sample data cannot accurately match the battery's current state. These parameters
must be continuously refined based on operational data during actual use to
enhance management efflciency, extend service life, and maximize the utilization of
lithium batteries.
Application Challenges
Safety
01
02
03
Eficiency
Economy
Lithium batteries lacking efiective management pose significant safety risks. When
subjected to thermal shock, overcharging, over-discharging, short circuits, vibration, or
compression, the active materials and electrolyte inside may undergo unexpected
chemical reactions, triggering thermal runaway. Proactive anomaly detection and early
warning systems are essential.
APPLICATION CHALLENGES
C&I energy storage is a typical application of distributed energy storage
systems on the consumer side, aiming to provide more efflcient, economical, and secure energy solutions for high-energy-consumption scenarios
such as factories, shopping malls, integrated photovoltaic-storage-charging systems, microgrids, and data centers.
ENERGY STORAGE
Commercial & Industry
APPLICATION CHALLENGES PAGE ??/??
C&I energy storage systems involve high investment costs and extended payback
periods. Profitability is achieved through peak shaving, demand response management,
and enhanced integration of renewable energy sources like wind and solar. Participation in virtual power plants can generate additional revenue. The economic viability of
storage systems hinges on intelligent operational management strategies that optimize
performance across multiple influencing factors throughout the entire lifecycle.
The state of lithium batteries continuously evolves throughout their entire lifecycle.
However, traditional BMS management parameters calibrated using laboratory
sample data cannot accurately match the battery's current state. These parameters
must be continuously refined based on operational data during actual use to
enhance management efflciency, extend service life, and maximize the utilization of
lithium batteries.
Application Challenges
Safety
01
02
03
Our Solutions
OUR SOLUTIONS OUR SOLUTIONS PAGE ??/??
Two-way real-time interconnection between the terminal and the
cloud Keeping lithium-ion batteries always online
Interconnection
Cloud-terminal collaborative management based on big data
Proactive management for greater safety, precision, and efflciency
Intelligence
Innovative applications of the cloud platform for the whole
product cycle Full process to improve business efflciency
Innovation
Operations Management Platform Desktop/Operations Platform Large Screen/Monitoring Platform
Energy Storage System Full Lifecycle
iBMS iEMS iPDU
Core Components/Subsystems of Energy Storage Systems
Cloud Collaborative Management Intelligent Operation Management
Battery Value Management Proactive Safety Management
API Data Interface
C&I Energy Storage Edge-Cloud Integrated Intelligent Management Solution comprises three components: intelligent
hardware, intelligent data, and intelligent applications. Through its edge-cloud integrated design, it expands the
boundaries of traditional management. Leveraging core technologies such as data-driven cloud-based collaborative management, intelligent operational management, and proactive security management, it significantly enhances energy storage system management efflciency, increases operational revenue, and ensures application security.
Edge + Cloud + AI: Making Batteries More Intelligent
Intelligent
Applications
Intelligent
Data
Intelligent
Hardware
Our Solutions
OUR SOLUTIONS OUR SOLUTIONS PAGE ??/??
Two-way real-time interconnection between the terminal and the
cloud Keeping lithium-ion batteries always online
Interconnection
Cloud-terminal collaborative management based on big data
Proactive management for greater safety, precision, and efflciency
Intelligence
Innovative applications of the cloud platform for the whole
product cycle Full process to improve business efflciency
Innovation
Operations Management Platform Desktop/Operations Platform Large Screen/Monitoring Platform
Energy Storage System Full Lifecycle
iBMS iEMS iPDU
Core Components/Subsystems of Energy Storage Systems
Cloud Collaborative Management Intelligent Operation Management
Battery Value Management Proactive Safety Management
API Data Interface
C&I Energy Storage Edge-Cloud Integrated Intelligent Management Solution comprises three components: intelligent
hardware, intelligent data, and intelligent applications. Through its edge-cloud integrated design, it expands the
boundaries of traditional management. Leveraging core technologies such as data-driven cloud-based collaborative management, intelligent operational management, and proactive security management, it significantly enhances energy storage system management efflciency, increases operational revenue, and ensures application security.
Edge + Cloud + AI: Making Batteries More Intelligent
Intelligent
Applications
Intelligent
Data
Intelligent
Hardware
Intelligent Hardwares
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
The iEMS expands the boundaries of traditional management through its integrated end-cloud design. It features
functions such as station data acquisition and monitoring, energy dispatch and control, fault detection and safety
protection, enhancing the operational efflciency and economic performance of energy storage while ensuring the safe,
reliable, and stable operation of the power station.
iEMS Energy Management System
? · One/Two/Three-tier architecture
? · Cat. 2 Dual Processor Design
? · Maximum 1500V voltage, 5000VAC insulation withstand voltage level
? · Featuring Bluetooth/Wi-Fi/4G connectivity for constant real-time monitoring
? · Support up to 16 modules working in parallel and automatic networking
? · Advanced parallel-operation SOP management and circulating current control
? · Multi channel redundant acquisition, with a diagnostic coverage rate of over 90% for safety related systems
? · Support terminal-cloud collaborative management and proactive security management
Parallel Operation Management
Enhances system reliability, capacity, and maintainability by combining multiple battery clusters
Energy Management
Peak shaving, grid constraints, demand response,
Dynamic capacity expansion, revenue calculation, etc.
Peripheral Management
Establishes communication between EMS and
other energy storage system devices
Receives data and issues control commands
Data Transmission
Data acquisition, aggregation, and transmission across
system components and subsystems
Supports Ethernet/4G/5G communication protocols
Local Storage
Provides device information storage and system
operation data storage
Supports up to 180 days of data retention
HMI Display
Enables localized monitoring and management of
the energy storage system
via display interface
G72 Series
Intelligent Hardwares
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
The iEMS expands the boundaries of traditional management through its integrated end-cloud design. It features
functions such as station data acquisition and monitoring, energy dispatch and control, fault detection and safety
protection, enhancing the operational efflciency and economic performance of energy storage while ensuring the safe,
reliable, and stable operation of the power station.
iEMS Energy Management System
? · One/Two/Three-tier architecture
? · Cat. 2 Dual Processor Design
? · Maximum 1500V voltage, 5000VAC insulation withstand voltage level
? · Featuring Bluetooth/Wi-Fi/4G connectivity for constant real-time monitoring
? · Support up to 16 modules working in parallel and automatic networking
? · Advanced parallel-operation SOP management and circulating current control
? · Multi channel redundant acquisition, with a diagnostic coverage rate of over 90% for safety related systems
? · Support terminal-cloud collaborative management and proactive security management
Parallel Operation Management
Enhances system reliability, capacity, and maintainability by combining multiple battery clusters
Energy Management
Peak shaving, grid constraints, demand response,
Dynamic capacity expansion, revenue calculation, etc.
Peripheral Management
Establishes communication between EMS and
other energy storage system devices
Receives data and issues control commands
Data Transmission
Data acquisition, aggregation, and transmission across
system components and subsystems
Supports Ethernet/4G/5G communication protocols
Local Storage
Provides device information storage and system
operation data storage
Supports up to 180 days of data retention
HMI Display
Enables localized monitoring and management of
the energy storage system
via display interface
G72 Series
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
The iPDU incorporates BCU with CAN, ISO SP1, and 485 communication interfaces. This enables communication between
the high-voltage control cabinet and the energy storage
battery management module, energy storage converter, and
EMS, facilitating control, protection, and data communication
functions for the energy storage battery cluster.
iPDU Power Distribution Unit
Safe &
Reliable
Flexible
Configura- tions
Powerful
Hierarchical System Management Functions
Three-tier architecture enables more flexible
system topology and efficient management
High-Resolution Thermal Management
Dual cooling/heating management with multiple control
strategies to ensure optimal temperature
Operational Permission Management
Touchscreen-based parameter modification with encrypted
special permissions
Extensive Peripheral Interfaces
Supports multiple active/passive outputs and isolated CAN, RS485, etc.
Full-Time Balancing Management
Effectively ensures cell consistency
Particularly effective for LFP batteries
Ultra-High Capacity Management
Single stack supports 25 battery clusters in parallel;
single cluster supports 420 series batteries
High-Voltage Platform Management
Supports 1500V voltage platform
Insulation withstand voltage: 5000VAC
Precise SOC Estimation
Neural network model + multi-factor correction
Estimation accuracy up to 3%
Efficient Circulating Current Control
Hardware precharge circuit + software circulating
current algorithm; Effectively manages battery
circulating current issues
The iBMS battery management system enables high-concurrency, highly reliable, bidirectional real-time wireless connectivity with the battery cloud platform either through its integrated DTU unit or via UDAN's iEMS. By leveraging cloud-based
big data technology and artificial intelligence algorithms, it dynamically optimizes battery models and parameters to
maximize battery performance.
iBMS Battery Management System
· 1000V / 1500V specifications available
· DC24V power supply controllable output
· Support both manual and automatic tripping modes for DC circuit breakers
· Support temperature monitoring at critical contact points to ensure
reliable contact
· Supports CAN communication or ISO SPI daisy chain communication
Support multiple safety strategies, including total battery voltage/back-end total voltage monitoring
· Support fault diagnosis for fuse blowout, relay adhesion, and relay open-circuit conditions
· Support black start capability and off-grid operation mode
· Dual-color panel indicator lights provide intuitive status display for operation, alarms, faults, and
other conditions
· Component selection meets UL/CE dual certification requirements.
P72 Series master BMS M77 Series slave BMS
+ +
M76 Series slave BMS P75 Series master BMS
+
????V ????V ????V
P76 Series master BMS M79 Series slave BMS
S?? Series
? P??? PDU Series
? P??? PDU Series
? 双P??? PDU Series
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
The iPDU incorporates BCU with CAN, ISO SP1, and 485 communication interfaces. This enables communication between
the high-voltage control cabinet and the energy storage
battery management module, energy storage converter, and
EMS, facilitating control, protection, and data communication
functions for the energy storage battery cluster.
iPDU Power Distribution Unit
Safe &
Reliable
Flexible
Configura- tions
Powerful
Hierarchical System Management Functions
Three-tier architecture enables more flexible
system topology and efficient management
High-Resolution Thermal Management
Dual cooling/heating management with multiple control
strategies to ensure optimal temperature
Operational Permission Management
Touchscreen-based parameter modification with encrypted
special permissions
Extensive Peripheral Interfaces
Supports multiple active/passive outputs and isolated CAN, RS485, etc.
Full-Time Balancing Management
Effectively ensures cell consistency
Particularly effective for LFP batteries
Ultra-High Capacity Management
Single stack supports 25 battery clusters in parallel;
single cluster supports 420 series batteries
High-Voltage Platform Management
Supports 1500V voltage platform
Insulation withstand voltage: 5000VAC
Precise SOC Estimation
Neural network model + multi-factor correction
Estimation accuracy up to 3%
Efficient Circulating Current Control
Hardware precharge circuit + software circulating
current algorithm; Effectively manages battery
circulating current issues
The iBMS battery management system enables high-concurrency, highly reliable, bidirectional real-time wireless connectivity with the battery cloud platform either through its integrated DTU unit or via UDAN's iEMS. By leveraging cloud-based
big data technology and artificial intelligence algorithms, it dynamically optimizes battery models and parameters to
maximize battery performance.
iBMS Battery Management System
· 1000V / 1500V specifications available
· DC24V power supply controllable output
· Support both manual and automatic tripping modes for DC circuit breakers
· Support temperature monitoring at critical contact points to ensure
reliable contact
· Supports CAN communication or ISO SPI daisy chain communication
Support multiple safety strategies, including total battery voltage/back-end total voltage monitoring
· Support fault diagnosis for fuse blowout, relay adhesion, and relay open-circuit conditions
· Support black start capability and off-grid operation mode
· Dual-color panel indicator lights provide intuitive status display for operation, alarms, faults, and
other conditions
· Component selection meets UL/CE dual certification requirements.
P72 Series master BMS M77 Series slave BMS
+ +
M76 Series slave BMS P75 Series master BMS
+
????V ????V ????V
P76 Series master BMS M79 Series slave BMS
S?? Series
? P??? PDU Series
? P??? PDU Series
? 双P??? PDU Series
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
iBCP Intelligent Battery Collection Panel Specifications
Designed for DC 1500V high-voltage energy storage systems, the AC/DC integrated intelligent battery
collection panel supports up to 10 battery clusters. Paired with our proprietary iEMS system for real-time data
collection and control, it supports both local and cloud data storage, as well as OTA updates for intelligent
operation and maintenance, providing an efflcient and reliable combiner solution for energy storage systems.
Input Voltage
Input Current
Surge Withstand Voltage
Short-Time Withstand Current
Short-Circuit Current
Number of Input Channels
Number of Output Channels
Input Voltage
Input current
Rated Frequency
AC Side Wiring Configuration
UPS Rated Power
UPS Runtime
Operating Temperature
Operating Humidity
Storage Temperature
Altitude
Protection Rating
Cooling Method
Communication Method
Corrosion Resistance Rating
Dimensions (W x H x D)
Weight
Mounting Method
≤ DC????V
≤????A
??KV
??KA ?S
???KA
? channels (? in parallel)
? channels (? in parallel)
AC???V
≤???A
??±?.?Hz
Three-phase, five-wire
???w
?min
-??~??°℃
?~??%
-?~??°℃
≤ ????M
IP??
Natural Convection
CAN/RS???
C?
???*????*???mm
???±??KG
Floor-mounted
DC-side parameters
AC-side parameters
System Parameters
High-Efficiency Current Collection
Low Transmission Losses: Utilizes low-impedance silver-plated copper busbars to
efficiently convert every kilowatt-hour of electricity
Flexible Multi-Channel Support: Supports up to 8 energy storage units in parallel, with the
number of channels customizable as needed
Suitable for High-Voltage Applications: Supports DC 1500V energy storage system voltages,
aligning with industry upgrade trends
Comprehensive Safety
Reliable Component Selection: Core components are sourced from renowned brands,
ensuring stable operation under extreme conditions
Multi-Level Electrical Protection: Integrated fuses and surge protection automatically cut
off power in case of short circuits, overcurrent, and other risks
Redundant Safety Design: Critical circuits feature redundant design to prevent system
shutdowns caused by single points of failure
Structural Safety Design: Cabinet constructed from cold-rolled steel or stainless steel for
enhanced impact resistance
Adaptability to Harsh Environments: Resistant to high temperatures and extreme cold, as
well as salt fog and dust, ensuring worry-free outdoor installation
Smart Operation and Maintenance
Comprehensive Data Upload: Seamlessly integrates with Udan EMS energy management
system for real-time monitoring of equipment status
Real-time Parameter Monitoring: Equipped with various types of sensors to monitor
electrical parameters of each circuit and the cabinet’s condition in real time
Self-Diagnosis + Remote Maintenance: Automatically pushes abnormal data, quickly
pinpoints faulty circuits, and reduces on-site troubleshooting time
INTELLIGENT HARDWARE INTELLIGENT HARDWARE PAGE ??/??
iBCP Intelligent Battery Collection Panel Specifications
Designed for DC 1500V high-voltage energy storage systems, the AC/DC integrated intelligent battery
collection panel supports up to 10 battery clusters. Paired with our proprietary iEMS system for real-time data
collection and control, it supports both local and cloud data storage, as well as OTA updates for intelligent
operation and maintenance, providing an efflcient and reliable combiner solution for energy storage systems.
Input Voltage
Input Current
Surge Withstand Voltage
Short-Time Withstand Current
Short-Circuit Current
Number of Input Channels
Number of Output Channels
Input Voltage
Input current
Rated Frequency
AC Side Wiring Configuration
UPS Rated Power
UPS Runtime
Operating Temperature
Operating Humidity
Storage Temperature
Altitude
Protection Rating
Cooling Method
Communication Method
Corrosion Resistance Rating
Dimensions (W x H x D)
Weight
Mounting Method
≤ DC????V
≤????A
??KV
??KA ?S
???KA
? channels (? in parallel)
? channels (? in parallel)
AC???V
≤???A
??±?.?Hz
Three-phase, five-wire
???w
?min
-??~??°℃
?~??%
-?~??°℃
≤ ????M
IP??
Natural Convection
CAN/RS???
C?
???*????*???mm
???±??KG
Floor-mounted
DC-side parameters
AC-side parameters
System Parameters
High-Efficiency Current Collection
Low Transmission Losses: Utilizes low-impedance silver-plated copper busbars to
efficiently convert every kilowatt-hour of electricity
Flexible Multi-Channel Support: Supports up to 8 energy storage units in parallel, with the
number of channels customizable as needed
Suitable for High-Voltage Applications: Supports DC 1500V energy storage system voltages,
aligning with industry upgrade trends
Comprehensive Safety
Reliable Component Selection: Core components are sourced from renowned brands,
ensuring stable operation under extreme conditions
Multi-Level Electrical Protection: Integrated fuses and surge protection automatically cut
off power in case of short circuits, overcurrent, and other risks
Redundant Safety Design: Critical circuits feature redundant design to prevent system
shutdowns caused by single points of failure
Structural Safety Design: Cabinet constructed from cold-rolled steel or stainless steel for
enhanced impact resistance
Adaptability to Harsh Environments: Resistant to high temperatures and extreme cold, as
well as salt fog and dust, ensuring worry-free outdoor installation
Smart Operation and Maintenance
Comprehensive Data Upload: Seamlessly integrates with Udan EMS energy management
system for real-time monitoring of equipment status
Real-time Parameter Monitoring: Equipped with various types of sensors to monitor
electrical parameters of each circuit and the cabinet’s condition in real time
Self-Diagnosis + Remote Maintenance: Automatically pushes abnormal data, quickly
pinpoints faulty circuits, and reduces on-site troubleshooting time
Intelligent Applications
INTELLIGENT APPLICATIONS PAGE ??/??
V-Model-based product development process ensures systematic prevention of both systematic failures and random
hardware failures. In accordance with ASIL requirements, we implement targeted safety measures to mitigate functional
faults and avoid unacceptable risks. The entire product line has been certified by multiple authoritative standards.
Advantages of Hardware
RI：100V/m
BCI：100mA
EFT：1KHz-1MHz 4.5kV
ESD：Contact 6kV，Air 8kV
RE/CE：IEC 61000-6-3/IEC 61000-6-4
Surge：Level 3
Low frequency magnetic field immunity: Level 3
Pulsed magnetic field immunity: Level 3
Damped oscillatory magnetic field immunity: Level 3
Damped oscillatory wave immunity: Level 3
DC power input port ripple immunity: Level 3
Common mode conducted disturbance immunity: Level 4
? EMI & EMS
Automotive-grade component selection;
High-accuracy signal acquisition and filtering；
6600W TVS with higher anti-surge level；
Meets UL94V-0 flame retardant level;
5000VAC insulation withstand voltage level;
15-year service life expectancy
? Reliability
INTELLIGENT HARDWARE
·Compliant with Cat.2 architecture, featuring dual-processor design with power-on self-test (POST)
·MTTFd reaches the highest level
·Multi channel redundant acquisition, with a diagnostic coverage rate of over 90% for safety related systems
·Follows Misra-C coding standards with static code analysis
·Model-based application layer development with MIL/PIL/HIL testing
? Functional Safety
ISO13849 PLr=D 、IEC/UL 60730、UN 38.3、IEC
62477 、IEC 61000、GB/T 34131-2023、GB/T 17626
Meets multiple certification requirements, including but not limited to:
Intelligent Applications
INTELLIGENT APPLICATIONS PAGE ??/??
V-Model-based product development process ensures systematic prevention of both systematic failures and random
hardware failures. In accordance with ASIL requirements, we implement targeted safety measures to mitigate functional
faults and avoid unacceptable risks. The entire product line has been certified by multiple authoritative standards.
Advantages of Hardware
RI：100V/m
BCI：100mA
EFT：1KHz-1MHz 4.5kV
ESD：Contact 6kV，Air 8kV
RE/CE：IEC 61000-6-3/IEC 61000-6-4
Surge：Level 3
Low frequency magnetic field immunity: Level 3
Pulsed magnetic field immunity: Level 3
Damped oscillatory magnetic field immunity: Level 3
Damped oscillatory wave immunity: Level 3
DC power input port ripple immunity: Level 3
Common mode conducted disturbance immunity: Level 4
? EMI & EMS
Automotive-grade component selection;
High-accuracy signal acquisition and filtering；
6600W TVS with higher anti-surge level；
Meets UL94V-0 flame retardant level;
5000VAC insulation withstand voltage level;
15-year service life expectancy
? Reliability
INTELLIGENT HARDWARE
·Compliant with Cat.2 architecture, featuring dual-processor design with power-on self-test (POST)
·MTTFd reaches the highest level
·Multi channel redundant acquisition, with a diagnostic coverage rate of over 90% for safety related systems
·Follows Misra-C coding standards with static code analysis
·Model-based application layer development with MIL/PIL/HIL testing
? Functional Safety
ISO13849 PLr=D 、IEC/UL 60730、UN 38.3、IEC
62477 、IEC 61000、GB/T 34131-2023、GB/T 17626
Meets multiple certification requirements, including but not limited to:
Operating Cloud Platform
The cloud-based operations platform integrates
device, sites, energy, and operational management
into a unified system. By analyzing system capacity,
peak/ofi-peak electricity pricing, and load demand,
it configures optimal charge/discharge strategies to
ensure the system operates at peak efflciency
The platform adopts distributed cloud deployment,
which can meet the simultaneous online operation of
millions of devices
The monitoring platform aggregates and analyzes key operational data from power stations, integrating fragmented,
small-scale, and diverse distributed energy resources (DERs)—such as distributed energy storage systems and flexible
loads—into a unified dispatchable portfolio Based on customer needs, deliver a comprehensive presentation covering
the full lifecycle, multiple scenarios, and diverse objectives.
INTELLIGENT APPLICATIONS INTELLIGENT APPLICATIONS PAGE ??/??
Monitoring Platform
Power Plant Monitoring
Plant status, equipment data, fault alerts,
electricity pricing configurations, etc.
Reporting & Statistics
Power generation reports, revenue reports,
custom reports, etc.
Data Analysis
Power analysis, thermal field analysis, consistency
analysis, energy analysis, health status assessment, etc.
Energy Management
Charge/discharge control, overload protection,
backflow prevention, peak shaving and valley filling, etc.
Operations & Maintenance Management
Fault tickets, maintenance tickets, installation tickets,
intelligent O&M, etc.
System Management
Power plant information maintenance, account permission
management, template policy management, etc.
Safety
Statistics Eficiency
Statistics
Energy
Statistics
Revenue
Statistics
Data
Overview
Power Station
Distribution
Operating Cloud Platform
The cloud-based operations platform integrates
device, sites, energy, and operational management
into a unified system. By analyzing system capacity,
peak/ofi-peak electricity pricing, and load demand,
it configures optimal charge/discharge strategies to
ensure the system operates at peak efflciency
The platform adopts distributed cloud deployment,
which can meet the simultaneous online operation of
millions of devices
The monitoring platform aggregates and analyzes key operational data from power stations, integrating fragmented,
small-scale, and diverse distributed energy resources (DERs)—such as distributed energy storage systems and flexible
loads—into a unified dispatchable portfolio Based on customer needs, deliver a comprehensive presentation covering
the full lifecycle, multiple scenarios, and diverse objectives.
INTELLIGENT APPLICATIONS INTELLIGENT APPLICATIONS PAGE ??/??
Monitoring Platform
Power Plant Monitoring
Plant status, equipment data, fault alerts,
electricity pricing configurations, etc.
Reporting & Statistics
Power generation reports, revenue reports,
custom reports, etc.
Data Analysis
Power analysis, thermal field analysis, consistency
analysis, energy analysis, health status assessment, etc.
Energy Management
Charge/discharge control, overload protection,
backflow prevention, peak shaving and valley filling, etc.
Operations & Maintenance Management
Fault tickets, maintenance tickets, installation tickets,
intelligent O&M, etc.
System Management
Power plant information maintenance, account permission
management, template policy management, etc.
Safety
Statistics Eficiency
Statistics
Energy
Statistics
Revenue
Statistics
Data
Overview
Power Station
Distribution
For commercial energy storage users, the APP provides real-time monitoring of
power generation and consumption data, supports charge/discharge parameter configuration to optimize energy supply, and enables real-time alerts and
remote access for monitoring energy device status anytime and anywhere.
APP
INTELLIGENT APPLICATIONS INTELLIGENT APPLICATIONS PAGE ??/??
Application Advantages
Rapid Deployment
Provide SaaS solutions and Standalone
Deployment,Two modes to save and
optimize enterprise resource allocation,Highly cost-efiective, enabling
optimal choices for enterprises
Rich Industry
Application Experience
Established a vast ecosystem of system
integrators,Hands-on experience serving
energy aggregators & battery/PACK
manufacturers,Proven industry best
practices and successful cases
Powerful Functions
Lean management across the entire
lifecycle,Centralized operations, early
warning and diagnostics, OTA software
updates,Software and hardware
traceability, asset value assessment, etc
Turnkey Solutions
Support web and mobile platforms,Android/iOS/WeChat Mini Program
Application,Hardware-to-application
turnkey solutions
Secure and Reliable
Triple Authentication & Three-Level
Encryption,Encrypted Storage of Key
Data with Horizontal Scalability
Support, High Reliability with 99.99%
Service Availability
Personalized and
Flexible Customization
Provide domain name, login page
background, and copywriting,Logo,
monitoring dashboards, and protocol
documents, etc,Multiple customized
service options
? System networking with group/domain-based management
? Real time monitoring of various parameters of energy storage device
? Provide early warnings/alarms and enables remote fault diagnosis
? Statistical reports on charging/discharging data and revenue data
? Account permission isolation
? Adaptive support for both Chinese and English languages
For commercial energy storage users, the APP provides real-time monitoring of
power generation and consumption data, supports charge/discharge parameter configuration to optimize energy supply, and enables real-time alerts and
remote access for monitoring energy device status anytime and anywhere.
APP
INTELLIGENT APPLICATIONS INTELLIGENT APPLICATIONS PAGE ??/??
Application Advantages
Rapid Deployment
Provide SaaS solutions and Standalone
Deployment,Two modes to save and
optimize enterprise resource allocation,Highly cost-efiective, enabling
optimal choices for enterprises
Rich Industry
Application Experience
Established a vast ecosystem of system
integrators,Hands-on experience serving
energy aggregators & battery/PACK
manufacturers,Proven industry best
practices and successful cases
Powerful Functions
Lean management across the entire
lifecycle,Centralized operations, early
warning and diagnostics, OTA software
updates,Software and hardware
traceability, asset value assessment, etc
Turnkey Solutions
Support web and mobile platforms,Android/iOS/WeChat Mini Program
Application,Hardware-to-application
turnkey solutions
Secure and Reliable
Triple Authentication & Three-Level
Encryption,Encrypted Storage of Key
Data with Horizontal Scalability
Support, High Reliability with 99.99%
Service Availability
Personalized and
Flexible Customization
Provide domain name, login page
background, and copywriting,Logo,
monitoring dashboards, and protocol
documents, etc,Multiple customized
service options
? System networking with group/domain-based management
? Real time monitoring of various parameters of energy storage device
? Provide early warnings/alarms and enables remote fault diagnosis
? Statistical reports on charging/discharging data and revenue data
? Account permission isolation
? Adaptive support for both Chinese and English languages
Intelligent Data
Utilizing the massive storage and computational capabilities of cloud servers to construct big data analysis
models based on machine learning methods for non-stationary, multi-dimensional, and high-volume operational
data, continuously iteratively optimize battery management parameters, and achieve cloud collaborative control.
Cloud Full-time Balancing
Predict the balancing time Tｂ based on
the SOC difference and balancing current
Ib, and issue instructions to cloud to
improve consistency.
Correct the cumulative error introduced
by the amper-hour integration based on
the battery dQ/dV curve, improving the
accuracy of SOC estimation.
Based on OCV, reduce current flow in
advance to eliminate the influence of
diffusion resistance on voltage, or delay
the reduction of current flow to improve
charging efficiency.
Cloud SOC Correction Cloud SOP Control
Cloud Collaborative Management
INTELLIGENT DATA INTELLIGENT DATA PAGE ??/??
Akka Actor Efficient Integration
Reliable communication via MQTT protocol
Massive storage for ElasticSearch/time-series data
Kafka Cluster/Flink Stream Processing Framework High-Concurrency Data Processing
Matlab Tools and Machine Learning Algorithms for Data Modeling
Key Technologies
2 Productized Application
?
?
Intelligent Data
Utilizing the massive storage and computational capabilities of cloud servers to construct big data analysis
models based on machine learning methods for non-stationary, multi-dimensional, and high-volume operational
data, continuously iteratively optimize battery management parameters, and achieve cloud collaborative control.
Cloud Full-time Balancing
Predict the balancing time Tｂ based on
the SOC difference and balancing current
Ib, and issue instructions to cloud to
improve consistency.
Correct the cumulative error introduced
by the amper-hour integration based on
the battery dQ/dV curve, improving the
accuracy of SOC estimation.
Based on OCV, reduce current flow in
advance to eliminate the influence of
diffusion resistance on voltage, or delay
the reduction of current flow to improve
charging efficiency.
Cloud SOC Correction Cloud SOP Control
Cloud Collaborative Management
INTELLIGENT DATA INTELLIGENT DATA PAGE ??/??
Akka Actor Efficient Integration
Reliable communication via MQTT protocol
Massive storage for ElasticSearch/time-series data
Kafka Cluster/Flink Stream Processing Framework High-Concurrency Data Processing
Matlab Tools and Machine Learning Algorithms for Data Modeling
Key Technologies
2 Productized Application
?
?
Through the establishment of a mathematical model for the full life cycle of lithium-ion batteries and a behavior
analysis method, and the adoption of intelligent optimization algorithms to improve the estimation accuracy of battery
SOH (State of Health), Battery Value Management realizes high-precision real-time online monitoring and estimation.
Battery Value Management
Adaptive SOH Estimation
Method Based on
Cumulative Capacity
?
SOH Estimation Method Based
on ICA+BP Neural Network ?
Full charge/
discharge occurs
Yes No
Full charge/
discharge event occurs
Enter SOH calibration process
Record initial cumulative charge/
discharge capacity
Record final cumulative charge/
discharge capacity
Update cumulative charge/
discharge capacity in real time
SOH Estimation Method Based
on Feature Reduction of
Charging Platform Zones
? Feature
database
exists
Charging
completed SOH Estimate Extract relevant
features
Current, temperature, voltage, number of cells
Yes
No
Guiding Battery Maintenance:
Predicts the service life of batteries, so as to replace batteries in a timely manner and avoid system failures caused by battery faults.
Improving System Efficiency:
Optimizes battery usage strategies, improves battery utilization rate, and thus enhances the efficiency of the entire system.
Reducing Operating Costs:
Makes full use of the performance of old batteries and reduces cost waste caused by battery replacement.
Ensuring System Safety:
Identifies potential battery faults in a timely manner and avoids safety accidents caused by battery faults.
Significance
Intelligent operation management considers factors such as power generation, load demand, and electricity price
forecasting to rapidly calculate the optimal charge/discharge power in real time. Strategies are delivered via UDAN
data cloud enabling the system to operate at peak efflciency.
Intelligent Operation Management
The objective function F2 for the initial monthly demand control optimization model is the sum of
monthly demand control revenue and peak shaving/valley filling revenue
The objective function F3 for the daily energy storage operation optimization model is typically the
user's daily peak shaving/valley filling revenue
max ? ? ?=1
?
?
?
2 = ? + ∑ ?
max ? ? ??,?,? ?=1
?
∑ ???,? 3 = ? ? ? + ,? ∈ Electricity price ofi-peak hours
Demand Forecasting
Historical Electricity
Usage Statistics
Equipment Investment Optimization
Monthly Demand
Optimization
Daily Operation
Optimization
Theenergy storage configuration optimization objective function F1 equals the difference between
monthly energy storage revenue and monthly discounted costs
max ? ? ?=1
?
∑ ? ? ?=1
? 1 = ( ?? ) + ∑ ?
?
?
?
?
CNN-LSTM Model Architecture
Daily Operation
Optimization
Original Load Curve ????.??
????.??
???
????.??
????.??
???
-
?.??%
?.??%
????.??
????.??
??.??%
??.??
??.??
??.??%
???.??
???.??
??.??%
Peak-Valley Curve
Increase the value
Peaks/kw Valleys/kw Peak Shaving Rate
Peak and Off-peak
Difference/kw
Peak and Off-Peak
Difference Ration
Standard
Deviation/kw
Input Layer
Hidden Layer
Neural Network Memory Network Output Layer
INTELLIGENT DATA PAGE ??/??
Through the establishment of a mathematical model for the full life cycle of lithium-ion batteries and a behavior
analysis method, and the adoption of intelligent optimization algorithms to improve the estimation accuracy of battery
SOH (State of Health), Battery Value Management realizes high-precision real-time online monitoring and estimation.
Battery Value Management
Adaptive SOH Estimation
Method Based on
Cumulative Capacity
?
SOH Estimation Method Based
on ICA+BP Neural Network ?
Full charge/
discharge occurs
Yes No
Full charge/
discharge event occurs
Enter SOH calibration process
Record initial cumulative charge/
discharge capacity
Record final cumulative charge/
discharge capacity
Update cumulative charge/
discharge capacity in real time
SOH Estimation Method Based
on Feature Reduction of
Charging Platform Zones
? Feature
database
exists
Charging
completed SOH Estimate Extract relevant
features
Current, temperature, voltage, number of cells
Yes
No
Guiding Battery Maintenance:
Predicts the service life of batteries, so as to replace batteries in a timely manner and avoid system failures caused by battery faults.
Improving System Efficiency:
Optimizes battery usage strategies, improves battery utilization rate, and thus enhances the efficiency of the entire system.
Reducing Operating Costs:
Makes full use of the performance of old batteries and reduces cost waste caused by battery replacement.
Ensuring System Safety:
Identifies potential battery faults in a timely manner and avoids safety accidents caused by battery faults.
Significance
Intelligent operation management considers factors such as power generation, load demand, and electricity price
forecasting to rapidly calculate the optimal charge/discharge power in real time. Strategies are delivered via UDAN
data cloud enabling the system to operate at peak efflciency.
Intelligent Operation Management
The objective function F2 for the initial monthly demand control optimization model is the sum of
monthly demand control revenue and peak shaving/valley filling revenue
The objective function F3 for the daily energy storage operation optimization model is typically the
user's daily peak shaving/valley filling revenue
max ? ? ?=1
?
?
?
2 = ? + ∑ ?
max ? ? ??,?,? ?=1
?
∑ ???,? 3 = ? ? ? + ,? ∈ Electricity price ofi-peak hours
Demand Forecasting
Historical Electricity
Usage Statistics
Equipment Investment Optimization
Monthly Demand
Optimization
Daily Operation
Optimization
Theenergy storage configuration optimization objective function F1 equals the difference between
monthly energy storage revenue and monthly discounted costs
max ? ? ?=1
?
∑ ? ? ?=1
? 1 = ( ?? ) + ∑ ?
?
?
?
?
CNN-LSTM Model Architecture
Daily Operation
Optimization
Original Load Curve ????.??
????.??
???
????.??
????.??
???
-
?.??%
?.??%
????.??
????.??
??.??%
??.??
??.??
??.??%
???.??
???.??
??.??%
Peak-Valley Curve
Increase the value
Peaks/kw Valleys/kw Peak Shaving Rate
Peak and Off-peak
Difference/kw
Peak and Off-Peak
Difference Ration
Standard
Deviation/kw
Input Layer
Hidden Layer
Neural Network Memory Network Output Layer
INTELLIGENT DATA PAGE ??/??
Model Generator Machine Learning Tools Deep Learning Tools
Remote Cell Balancing SOE Correction SOH Assessment
Proactive Safety Warning
Intelligent Thermal Management Intelligent Diagnostics
Intelligent Energy Dispatch
Model Layer
TDengine Cluster
Elasticsearch Cluster Report Database
Flink tasks_1 Flink tasks_2 ... Flink tasks_n
Stream Processing Layer
Spark tasks Python tasks
EMS_1 EMS_2 Batch Processing Module
... EMS_n
Device
MQTT Access Layer Kafka Cluster
UDAN places great emphasis on R&D investment, technological innovation, and infrastructure development in big
data. After 8 years of technical accumulation and practical application, the company has established comprehensive
data mining capabilities, including distributed storage systems, distributed computing frameworks, data query and
analysis tools, as well as data visualization tools.
Data Advantages
1000
online battery systems
+
Thousand
9
Maximum
operating time
+
Years
1
daily cloud
interactions
+
Billion
600
Cumulative
data received
+
Billions of data
200
Cloud Servers
+
Devices
Anomaly Distribution Detection
Analyzing data distribution patterns to understand the full scope and
characteristics of data distribution
Anomaly Data Screening
Employ data analysis methods to distinguish between normal and
anomalous data
Security Threshold Configuration
Conduct distribution tests on the entire dataset to establish
appropriate alert thresholds
Security Diagnosis
Identify security risks associated with anomalous data and assign
corresponding diagnostic labels
Proactive safety management has deployed over 30 cloud-based security alert strategies, including thermal
field anomalies, cell degradation, internal resistance abnormalities, and electrolyte leakage issues. This enables
comprehensive safety monitoring capabilities, ensuring 24/7 protection for battery applications.
Proactive Safety Management
ROC curve and corresponding AUC value
Battery Failure Frequencies Corresponding to Five Methods
Invalid Data Processing
Data cleansing to ensure data integrity and accuracy
Thermal Field Abnormality Warning Cell Degradation Warning Internal Resistance Abnormality Warning Abnormal Liquid Leakage Warning Failure Frequency
Battery Number
Isolation Forest
Random Sorting Random Sorting
Random Sorting Random Sorting
TPR
TPR
TPR
TPR
FPR FPR
FPR FPR
INTELLIGENT DATA PAGE ??/??
Model Generator Machine Learning Tools Deep Learning Tools
Remote Cell Balancing SOE Correction SOH Assessment
Proactive Safety Warning
Intelligent Thermal Management Intelligent Diagnostics
Intelligent Energy Dispatch
Model Layer
TDengine Cluster
Elasticsearch Cluster Report Database
Flink tasks_1 Flink tasks_2 ... Flink tasks_n
Stream Processing Layer
Spark tasks Python tasks
EMS_1 EMS_2 Batch Processing Module
... EMS_n
Device
MQTT Access Layer Kafka Cluster
UDAN places great emphasis on R&D investment, technological innovation, and infrastructure development in big
data. After 8 years of technical accumulation and practical application, the company has established comprehensive
data mining capabilities, including distributed storage systems, distributed computing frameworks, data query and
analysis tools, as well as data visualization tools.
Data Advantages
1000
online battery systems
+
Thousand
9
Maximum
operating time
+
Years
1
daily cloud
interactions
+
Billion
600
Cumulative
data received
+
Billions of data
200
Cloud Servers
+
Devices
Anomaly Distribution Detection
Analyzing data distribution patterns to understand the full scope and
characteristics of data distribution
Anomaly Data Screening
Employ data analysis methods to distinguish between normal and
anomalous data
Security Threshold Configuration
Conduct distribution tests on the entire dataset to establish
appropriate alert thresholds
Security Diagnosis
Identify security risks associated with anomalous data and assign
corresponding diagnostic labels
Proactive safety management has deployed over 30 cloud-based security alert strategies, including thermal
field anomalies, cell degradation, internal resistance abnormalities, and electrolyte leakage issues. This enables
comprehensive safety monitoring capabilities, ensuring 24/7 protection for battery applications.
Proactive Safety Management
ROC curve and corresponding AUC value
Battery Failure Frequencies Corresponding to Five Methods
Invalid Data Processing
Data cleansing to ensure data integrity and accuracy
Thermal Field Abnormality Warning Cell Degradation Warning Internal Resistance Abnormality Warning Abnormal Liquid Leakage Warning Failure Frequency
Battery Number
Isolation Forest
Random Sorting Random Sorting
Random Sorting Random Sorting
TPR
TPR
TPR
TPR
FPR FPR
FPR FPR
INTELLIGENT DATA PAGE ??/??
APPLICATION SCENARIOS PAGE ??/??
Application Scenarios
A comprehensive product portfolio built on proprietary full-stack technology for diverse
application scenarios, integrated with cutting-edge technologies including big data, cloud
computing, IoT, and artificial intelligence. This creates an intelligent, all-scenario, systematic,
and competitive end-cloud integrated intelligent management solution for C&I energy
storage, empowering the digital and intelligent development of the energy storage industry.
High Security 30+ cloud-based security warning strategies
High Eficiency Leading intelligent energy management strategy
Long Lifespan Data-driven cloud-terminal collaborative management technology
Easy Operation and Maintenance Visualization and refined management of power stations
Low Cost Multiple deployment options include SaaS and dedicated deployment
Distributed Aggregation/VPP
Standard Cabinet Parallel Operation
Photovoltaic Storage and Charging System
Megawatt-Scale DC-Side Parallel Operation
Microgrid System
APPLICATION SCENARIOS PAGE ??/??
Application Scenarios
A comprehensive product portfolio built on proprietary full-stack technology for diverse
application scenarios, integrated with cutting-edge technologies including big data, cloud
computing, IoT, and artificial intelligence. This creates an intelligent, all-scenario, systematic,
and competitive end-cloud integrated intelligent management solution for C&I energy
storage, empowering the digital and intelligent development of the energy storage industry.
High Security 30+ cloud-based security warning strategies
High Eficiency Leading intelligent energy management strategy
Long Lifespan Data-driven cloud-terminal collaborative management technology
Easy Operation and Maintenance Visualization and refined management of power stations
Low Cost Multiple deployment options include SaaS and dedicated deployment
Distributed Aggregation/VPP
Standard Cabinet Parallel Operation
Photovoltaic Storage and Charging System
Megawatt-Scale DC-Side Parallel Operation
Microgrid System
SAMPLE PROJECTS 典型案例
典型案例
SAMPLE PROJECTS
清远市???KWh项目 宁波市?.??MWh项目 温州市???KWh项目 湖州市?.??MWh项目
湘潭市?.??MWh项目 无锡市???KWh项目
大同市???KWh项目
台州市???KWh项目
宁波市???KWh项目 常德市?MWh项目
宁波市?MWh项目
宁波市?.??MWh项目
岳阳市?.??MWh项目 浙江?.?MWh项目 周口市?.??MWh项目 佛山市?.???MWh项目
清远市?.?MWh项目 浙江???KWh项目 文昌市?.?MWh项目 绍兴市???KWh项目
镇江市?MWh项目 泰州????KWh项目 温州市?MWh项目 台州???KWh项目
Sample Projects
SAMPLE PROJECTS PAGE ??/??
SAMPLE PROJECTS 典型案例
典型案例
SAMPLE PROJECTS
清远市???KWh项目 宁波市?.??MWh项目 温州市???KWh项目 湖州市?.??MWh项目
湘潭市?.??MWh项目 无锡市???KWh项目
大同市???KWh项目
台州市???KWh项目
宁波市???KWh项目 常德市?MWh项目
宁波市?MWh项目
宁波市?.??MWh项目
岳阳市?.??MWh项目 浙江?.?MWh项目 周口市?.??MWh项目 佛山市?.???MWh项目
清远市?.?MWh项目 浙江???KWh项目 文昌市?.?MWh项目 绍兴市???KWh项目
镇江市?MWh项目 泰州????KWh项目 温州市?MWh项目 台州???KWh项目
Sample Projects
SAMPLE PROJECTS PAGE ??/??
About Us
Core Values
Focus, Simplicity, Trust
400 +
Team size
50 %
R&D personnel ratio
Development Philosophy
Innovation-led, technology-driven,
customer-oriented, quality-prioritized
Our Mission
Empowering digital energy to
create a sustainable future
Our Vision
To become a global AI leader
in the new energy sector
Anhui UDAN Technology Co., Ltd. is a national high-tech enterprise and a
certified “Little Giant” specializing in the R&D, manufacturing, and services of
intelligent hardware for lithium battery management and full-lifecycle online
platforms. Our core business spans two major fields: electric mobility and
energy storage.
From day one, UDAN has pioneered the concept of intelligent lithium battery
management — keeping batteries always online. By integrating advanced
iBMS/iEMS intelligent hardware, a robust battery PaaS platform, and innovative SaaS applications, we enable cloud-device collaboration, proactive
safety control, and full-lifecycle operation, ensuring every battery runs safely
and effciently.
+
members
ABOUT US PAGE ??/??
About Us
Core Values
Focus, Simplicity, Trust
400 +
Team size
50 %
R&D personnel ratio
Development Philosophy
Innovation-led, technology-driven,
customer-oriented, quality-prioritized
Our Mission
Empowering digital energy to
create a sustainable future
Our Vision
To become a global AI leader
in the new energy sector
Anhui UDAN Technology Co., Ltd. is a national high-tech enterprise and a
certified “Little Giant” specializing in the R&D, manufacturing, and services of
intelligent hardware for lithium battery management and full-lifecycle online
platforms. Our core business spans two major fields: electric mobility and
energy storage.
From day one, UDAN has pioneered the concept of intelligent lithium battery
management — keeping batteries always online. By integrating advanced
iBMS/iEMS intelligent hardware, a robust battery PaaS platform, and innovative SaaS applications, we enable cloud-device collaboration, proactive
safety control, and full-lifecycle operation, ensuring every battery runs safely
and effciently.
+
members
ABOUT US PAGE ??/??
Establishment of UDAN Tech
First place in the final of the “Maker in China” Anhui Innovation &
Entrepreneurship Competition
Featured in China Central Television’s “Entrepreneurial Heroes”
Strategic investment by Sound Group’s multi-million
yuan industry fund
Continuous development
The Excellence Laboratory has obtained CNAS accreditation
The F2 Smart Digital Factory has commenced production
Shanghai UDAN Technology Co., Ltd. was established
Shenzhen Collaborative Innovation Center Grand Opening
Technology Lab Opens
Anhui Technological Innovation Demonstration Enterprise
National-Level \"Little Giant\" Enterprise (Specialized, Refined,
Distinctive and Innovative)
Anhui Industrial Design Center
\"Excellent Industrial Internet APP Solutions\" by MIIT
Anhui Provincial Specialized, Refined, Distinctive and Innovative SMEs
Anhui Big Data Enterprises
Anhui Service-Oriented Manufacturing Demonstration Enterprises
Hefei Specialized, Refined, Distinctive and Innovative SMEs
Anhui Trademark Brand Demonstration Enterprises
High-level Science and Technology Talent Team in Anhui Province Anhui Top 100 R&D Expenditure Enterprises (by Volume & Intensity)
Collaborative innovation project of among colleges and
universities in Anhui Province
Honor for the “Yangtze River Delta” Digital Economy Innovation
Case Companies
National High-tech Enterprise Certification
TüV Süd IATF 16949 Quality System Certification
Support from the Municipal and District Government’s
Multi-million Yuan Guidance Fund
Specialized, Refined, Distinctive, and Innovative SME in the
Economic Development Zone
Ministry of Science and Technology’s “Science and Technology
for Economy 2020” Key Project
“Outstanding Solutions for Artificial Intelligence in 2020” of
the National Research Centre for Industrial Information Security
Development
ABOUT US PAGE ??/??
Footprints
In the surging course of Nature,all living things are growing
Establishment of UDAN Tech
First place in the final of the “Maker in China” Anhui Innovation &
Entrepreneurship Competition
Featured in China Central Television’s “Entrepreneurial Heroes”
Strategic investment by Sound Group’s multi-million
yuan industry fund
Continuous development
The Excellence Laboratory has obtained CNAS accreditation
The F2 Smart Digital Factory has commenced production
Shanghai UDAN Technology Co., Ltd. was established
Shenzhen Collaborative Innovation Center Grand Opening
Technology Lab Opens
Anhui Technological Innovation Demonstration Enterprise
National-Level \"Little Giant\" Enterprise (Specialized, Refined,
Distinctive and Innovative)
Anhui Industrial Design Center
\"Excellent Industrial Internet APP Solutions\" by MIIT
Anhui Provincial Specialized, Refined, Distinctive and Innovative SMEs
Anhui Big Data Enterprises
Anhui Service-Oriented Manufacturing Demonstration Enterprises
Hefei Specialized, Refined, Distinctive and Innovative SMEs
Anhui Trademark Brand Demonstration Enterprises
High-level Science and Technology Talent Team in Anhui Province Anhui Top 100 R&D Expenditure Enterprises (by Volume & Intensity)
Collaborative innovation project of among colleges and
universities in Anhui Province
Honor for the “Yangtze River Delta” Digital Economy Innovation
Case Companies
National High-tech Enterprise Certification
TüV Süd IATF 16949 Quality System Certification
Support from the Municipal and District Government’s
Multi-million Yuan Guidance Fund
Specialized, Refined, Distinctive, and Innovative SME in the
Economic Development Zone
Ministry of Science and Technology’s “Science and Technology
for Economy 2020” Key Project
“Outstanding Solutions for Artificial Intelligence in 2020” of
the National Research Centre for Industrial Information Security
Development
ABOUT US PAGE ??/??
Footprints
In the surging course of Nature,all living things are growing
Business Scopes
End-Cloud Integration, Dual-Drive Strategy
ABOUT US PAGE ??/??
工程机械 工商业储能
C&I Energy Storage
Providing system integrators/aggregators with an end-cloud integrated
lifecycle management solution including smart hardware & intelligent
data & smart applications.
BATTERY
For multi-category/small-batch application scenarios, we are redefining an
innovative BMS business model featuring software online generation, flexible
hardware customization, and ultra-fast/sustainable project delivery.
Residential Energy Storage
Providing standardized BMS products and customized PDU/cloud
platform/app services for the global residential energy storage
market, meeting all certification requirements.
Light Vehicles
Providing lithium battery management solutions for two-wheeled vehicle
battery swapping, enabling cloud connectivity between vehicle and battery
cabinets to build a smart mobility ecosystem, and delivering efficient,
convenient one-stop lithium battery leasing and operational services.
Electric Mobillity Electric Energy Storage
Construction Machinery Power Battery Power Battery Power storage Power storage
Business Scopes
End-Cloud Integration, Dual-Drive Strategy
ABOUT US PAGE ??/??
工程机械 工商业储能
C&I Energy Storage
Providing system integrators/aggregators with an end-cloud integrated
lifecycle management solution including smart hardware & intelligent
data & smart applications.
BATTERY
For multi-category/small-batch application scenarios, we are redefining an
innovative BMS business model featuring software online generation, flexible
hardware customization, and ultra-fast/sustainable project delivery.
Residential Energy Storage
Providing standardized BMS products and customized PDU/cloud
platform/app services for the global residential energy storage
market, meeting all certification requirements.
Light Vehicles
Providing lithium battery management solutions for two-wheeled vehicle
battery swapping, enabling cloud connectivity between vehicle and battery
cabinets to build a smart mobility ecosystem, and delivering efficient,
convenient one-stop lithium battery leasing and operational services.
Electric Mobillity Electric Energy Storage
Construction Machinery Power Battery Power Battery Power storage Power storage
Enter UDAN
We grow with the era
ABOUT US PAGE ??/??
Enter UDAN
We grow with the era
ABOUT US PAGE ??/??
www.udantech.com
Focus Simplicity Trust
End-Cloud Integrated
Intelligent Management Solution
C&I Energy Storage
contact@udantech.com
UDAN 2026 Product Catalogue
