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End-Cloud Integrated
Intelligent Management Solution
www.udantech.com
Construction Machinery
UDAN 2026 Product Catalogue
Focus Simplicity Trust
contact@udantech.com
0 Industry Trends 1
CONTENT
02
03
Product Solutions
Intelligent Hardwares
04Intelligent Applications
05
06
Intelligent Data
About UDAN
OUR VISION
To Become A Global AI Leader In The New Energy Sector
P1
P3
P5 P21
P16
P10
0 Industry Trends 1
CONTENT
02
03
Product Solutions
Intelligent Hardwares
04Intelligent Applications
05
06
Intelligent Data
About UDAN
OUR VISION
To Become A Global AI Leader In The New Energy Sector
P1
P3
P5 P21
P16
P10
Driven by environmental protection policies and breakthroughs in battery technology, it
accelerates the transformation of construction machinery to new energy, and promotes
zero emissions in urban infrastructure construction and enclosed scenarios.
Through the Internet of Things, big data and blockchain technologies, it realizes the
whole-life-cycle management of equipment, improves operation and maintenance efficiency
and supply chain transparency, and reconstructs the value of after-sales market services.
Relying on autonomous driving, AI and 5G technologies, it realizes the leap from single-machine
independent operation to fleet collaboration, greatly improving construction efficiency and
safety in high-risk scenarios.
Electrification Digitalization
Construction
Machinery
Intelligentization
Relying on the \"the Belt and Road Initiative\", it expands exports to emerging markets. At the
same time, the surge in demand from emerging economies has spawned diversified regional
supply chain layouts.
Globalization
Construction machinery includes excavators, loaders, concrete mixers, industrial vehicles, aerial work platforms, etc.
Benefiting from multiple factors such as unmanned replacement, environmental protection upgrading, electrification,
and the continuous enhancement of the comprehensive competitiveness of lithium batteries, the trend of lithium
electrification of construction machinery has become increasingly obvious, and it has developed rapidly in recent years.
Industry Trends
Industry Trends
PAGE 01 | 02
Driven by environmental protection policies and breakthroughs in battery technology, it
accelerates the transformation of construction machinery to new energy, and promotes
zero emissions in urban infrastructure construction and enclosed scenarios.
Through the Internet of Things, big data and blockchain technologies, it realizes the
whole-life-cycle management of equipment, improves operation and maintenance efficiency
and supply chain transparency, and reconstructs the value of after-sales market services.
Relying on autonomous driving, AI and 5G technologies, it realizes the leap from single-machine
independent operation to fleet collaboration, greatly improving construction efficiency and
safety in high-risk scenarios.
Electrification Digitalization
Construction
Machinery
Intelligentization
Relying on the \"the Belt and Road Initiative\", it expands exports to emerging markets. At the
same time, the surge in demand from emerging economies has spawned diversified regional
supply chain layouts.
Globalization
Construction machinery includes excavators, loaders, concrete mixers, industrial vehicles, aerial work platforms, etc.
Benefiting from multiple factors such as unmanned replacement, environmental protection upgrading, electrification,
and the continuous enhancement of the comprehensive competitiveness of lithium batteries, the trend of lithium
electrification of construction machinery has become increasingly obvious, and it has developed rapidly in recent years.
Industry Trends
Industry Trends
PAGE 01 | 02
Product
Solutions
Intelligent
Applications UDAN Design
Intelligent
Data
Intelligent
Hardware Low-Voltage Platform iBMS High-Voltage Platform iBMS Power Distribution Unit iPDU
UDAN Burner UDAN Live UDAN Upgrade
Cloud Collaborative Management Proactive Safety Management Battery Value Management
End-Cloud Integrated Intelligent Management
PAGE 03 | 04
Less
Human
Involvement
Less
Dependence
Higher
Efficiency
More
Control
In response to the characteristics of multi-variety and small-batch scenarios in construciton machinery,
UDAN Technology has built an innovative iBMS business model driven by digital technology and supported
by a flexible platform. It has formed an efflcient, low-cost and sustainable smart energy solution delivery
system to help the industry achieve green and low-carbon transformation.
Precise scenario adaptation of product models
Full-time and global safety protection system
Full-process cost reduction and efficiency improvement
Open and compatible software and hardware systems
Cloud technology-driven improvement of economic benefits
Industry-Leading Applications and Scale Advantages
Product
Solutions
Intelligent
Applications UDAN Design
Intelligent
Data
Intelligent
Hardware Low-Voltage Platform iBMS High-Voltage Platform iBMS Power Distribution Unit iPDU
UDAN Burner UDAN Live UDAN Upgrade
Cloud Collaborative Management Proactive Safety Management Battery Value Management
End-Cloud Integrated Intelligent Management
PAGE 03 | 04
Less
Human
Involvement
Less
Dependence
Higher
Efficiency
More
Control
In response to the characteristics of multi-variety and small-batch scenarios in construciton machinery,
UDAN Technology has built an innovative iBMS business model driven by digital technology and supported
by a flexible platform. It has formed an efflcient, low-cost and sustainable smart energy solution delivery
system to help the industry achieve green and low-carbon transformation.
Precise scenario adaptation of product models
Full-time and global safety protection system
Full-process cost reduction and efficiency improvement
Open and compatible software and hardware systems
Cloud technology-driven improvement of economic benefits
Industry-Leading Applications and Scale Advantages
The Series C distributed iBMS is an intelligent battery management
system developed by UDAN Technology for new energy heavy-duty
trucks, mining trucks, loaders, ships and other fields. It is suitable for
high-voltage and large-capacity battery application scenarios.
Rich interface definitions, automotive-grade component selection,
system-level reliability design
5000VAC insulation withstand voltage rating, CLASS4 strong EMC design
Model-based application layer development, MIL/PIL/HIL testing
Compliance with ISO 13849/EN 1175/UL 60730 certification requirements
Dual-processor architecture, functional safety up to PL.D
Maximum support for 1000V voltage platform, covering flexible applications of
multi-server parallel operation scenarios with three-level architecture
High-Voltage Platform Distributed iBMS
Smart Hardware
Product Model Description
Distributed Host
(Domestic 4G Version) C800-D Domestic 4G version (Mainland China)
Distributed Host
(Global 4G Version) C800-G Global 4G version
Distributed Slave M802 Cell voltage acquisition channels: 28S;
Cell temperature acquisition channels: 10T
Distributed Slave M803 Cell voltage acquisition channels: 42S;
Cell temperature acquisition channels: 15T
Distributed Slave M804 Cell voltage acquisition channels: 56S;
Cell temperature acquisition channels: 20T
PAGE 05 | 06
Series C
The Series C distributed iBMS is an intelligent battery management
system developed by UDAN Technology for new energy heavy-duty
trucks, mining trucks, loaders, ships and other fields. It is suitable for
high-voltage and large-capacity battery application scenarios.
Rich interface definitions, automotive-grade component selection,
system-level reliability design
5000VAC insulation withstand voltage rating, CLASS4 strong EMC design
Model-based application layer development, MIL/PIL/HIL testing
Compliance with ISO 13849/EN 1175/UL 60730 certification requirements
Dual-processor architecture, functional safety up to PL.D
Maximum support for 1000V voltage platform, covering flexible applications of
multi-server parallel operation scenarios with three-level architecture
High-Voltage Platform Distributed iBMS
Smart Hardware
Product Model Description
Distributed Host
(Domestic 4G Version) C800-D Domestic 4G version (Mainland China)
Distributed Host
(Global 4G Version) C800-G Global 4G version
Distributed Slave M802 Cell voltage acquisition channels: 28S;
Cell temperature acquisition channels: 10T
Distributed Slave M803 Cell voltage acquisition channels: 42S;
Cell temperature acquisition channels: 15T
Distributed Slave M804 Cell voltage acquisition channels: 56S;
Cell temperature acquisition channels: 20T
PAGE 05 | 06
Series C
The Series A integrated iBMS is an intelligent battery management system
developed by UDAN Technology for new energy forklifts, tractors, lift trucks,
stackers and other fields. It is suitable for low-voltage and large-capacity
battery application scenarios.
Automotive-grade quality, multiple interface protections, strong
electromagnetic compatibility design
All-in-one (master+slave combined) design, full function integration
Dual-CPU architecture to prevent software failure
Dual independent power supplies to prevent common-cause faults
EMC design compliant with EN 12895
Safety design compliant with EN 13849-1, up to PL=D
BMS battery pack self-powered, no external DCDC power module required
Adapt to 24V/48V/60V/80V/96V multiple voltage platforms
Low-Voltage Platform Integrated iBMS
Product Model Voltage
Acquisition
Temperature
Acquisition
22-Series Integrated Machine
(Global 4G Version) A750-G/M
32-Series Integrated Machine
(Domestic 4G Version) A760-D
32-Series Integrated Machine
(Global 4G Version) A760-G/M
12-Series Integrated Machine
(Domestic 4G Version) A535
12S 4 channels
12-Series Integrated Machine
(Global 4G Version) A535-G/M
22S 8 channels
22-Series Integrated Machine
(Domestic 4G Version) A750-D
32S 12 channels
The Series S power distribution unit iPDU is a standardized
and configurable battery power control and distribution
subsystem designed by Udan Technology for new energy
engineering machinery. It has a reasonable structural design
and high space utilization, providing protection for the safe
and stable operation of the battery system.
Compatible with 24-1000V voltage platform
Integrated with intelligent battery management system (iBMS) module
Current and voltage acquisition and detection
Real-time monitoring of high-voltage connection status and insulation status
Typical Bill of Materials
Integrated external low-voltage power supply and control ports
Reliable high-low voltage isolation design
Compact structure, small size, high compatibility, and support for customization
System-level reliability design, IP R&D process management, CNAS laboratory support,
IATF 16949 quality management system
50% voltage platform / separate charge-discharge ports / 400A rated discharge current /
heating support / 50% version (including antenna and 1-year network service fee)
DC standard charging socket / 200A / NTC 103 socket (temperature sensing) / 1000mm
HEMA connector / 320A / male connector / 4-core communication / 1000mm
UD-043NF/C / self-resetting switch / fourth-party certification / 4000mm
AT20158 / 4G communication / IP67 / standard 1.5m
Multi-functional pre-connected harness / 800mm / molded wire
16-series voltage acquisition / 1000mm / 5-channel temperature acquisition / 1000mm / OT-6
16-series voltage acquisition / 1000mm / 5-channel temperature acquisition / 1000mm / OT-6
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
1
1
1
1
1
1
1
1
Material Model/Parameter Unit Quantity
iPDU
Charging Interface Kit
Discharging Interface Kit
Combined Instrument
4G Waterproof Antenna
Internal Communication Harness
Port A Acquisition Standard Harness
Port B Acquisition Standard Harness
PAGE 07 | 08
Series A Series S Power Distribution Unit iPDU
The Series A integrated iBMS is an intelligent battery management system
developed by UDAN Technology for new energy forklifts, tractors, lift trucks,
stackers and other fields. It is suitable for low-voltage and large-capacity
battery application scenarios.
Automotive-grade quality, multiple interface protections, strong
electromagnetic compatibility design
All-in-one (master+slave combined) design, full function integration
Dual-CPU architecture to prevent software failure
Dual independent power supplies to prevent common-cause faults
EMC design compliant with EN 12895
Safety design compliant with EN 13849-1, up to PL=D
BMS battery pack self-powered, no external DCDC power module required
Adapt to 24V/48V/60V/80V/96V multiple voltage platforms
Low-Voltage Platform Integrated iBMS
Product Model Voltage
Acquisition
Temperature
Acquisition
22-Series Integrated Machine
(Global 4G Version) A750-G/M
32-Series Integrated Machine
(Domestic 4G Version) A760-D
32-Series Integrated Machine
(Global 4G Version) A760-G/M
12-Series Integrated Machine
(Domestic 4G Version) A535
12S 4 channels
12-Series Integrated Machine
(Global 4G Version) A535-G/M
22S 8 channels
22-Series Integrated Machine
(Domestic 4G Version) A750-D
32S 12 channels
The Series S power distribution unit iPDU is a standardized
and configurable battery power control and distribution
subsystem designed by Udan Technology for new energy
engineering machinery. It has a reasonable structural design
and high space utilization, providing protection for the safe
and stable operation of the battery system.
Compatible with 24-1000V voltage platform
Integrated with intelligent battery management system (iBMS) module
Current and voltage acquisition and detection
Real-time monitoring of high-voltage connection status and insulation status
Typical Bill of Materials
Integrated external low-voltage power supply and control ports
Reliable high-low voltage isolation design
Compact structure, small size, high compatibility, and support for customization
System-level reliability design, IP R&D process management, CNAS laboratory support,
IATF 16949 quality management system
50% voltage platform / separate charge-discharge ports / 400A rated discharge current /
heating support / 50% version (including antenna and 1-year network service fee)
DC standard charging socket / 200A / NTC 103 socket (temperature sensing) / 1000mm
HEMA connector / 320A / male connector / 4-core communication / 1000mm
UD-043NF/C / self-resetting switch / fourth-party certification / 4000mm
AT20158 / 4G communication / IP67 / standard 1.5m
Multi-functional pre-connected harness / 800mm / molded wire
16-series voltage acquisition / 1000mm / 5-channel temperature acquisition / 1000mm / OT-6
16-series voltage acquisition / 1000mm / 5-channel temperature acquisition / 1000mm / OT-6
PCS
PCS
PCS
PCS
PCS
PCS
PCS
PCS
1
1
1
1
1
1
1
1
Material Model/Parameter Unit Quantity
iPDU
Charging Interface Kit
Discharging Interface Kit
Combined Instrument
4G Waterproof Antenna
Internal Communication Harness
Port A Acquisition Standard Harness
Port B Acquisition Standard Harness
PAGE 07 | 08
Series A Series S Power Distribution Unit iPDU
Smart Application
PAGE 09 | 10
Based on the V-model product development process, it avoids systematic failures and random hardware failure risks in product
design. And according to ASIL level requirements, corresponding safety protection measures are taken to avoid unacceptable
risks caused by system functional failures. All series of products have passed a number of authoritative certifications.
Low frequency magnetic field immunity: Level 3
Pulsed magnetic field immunity: Level 3
Automotive-grade component selection
Meets UL94V-0 flame retardant level
Reliability
Compliant with Cat.2 architecture, featuring dual-processor design with power-on self-test (POST)
ISO????? PLr=D 、IEC/UL ?????、UN ??.?、IEC ????? 、IEC ?????、GB/T ?????-????、GB/T ?????
Meets multiple certification requirements, including but not limited to:
Advantages of Hardware
1
Functional 3 Safety
2 EMI & EMS
6600W TVS with higher anti-surge level
15-year service life expectancy
High-accuracy signal acquisition and filtering
5000VAC insulation withstand voltage level
DC power input port ripple immunity: Level 3
Common mode conducted disturbance immunity: Level 4
Damped oscillatory magnetic field immunity: Level 3
Damped oscillatory wave immunity: Level 3
Multi channel redundant acquisition, with a diagnostic coverage
rate of over 90% for safety related systems
MTTFd reaches the highest level Follows Misra-C coding standards with static code analysis Model-based application layer development with MIL/PIL/HIL testing
Smart Application
PAGE 09 | 10
Based on the V-model product development process, it avoids systematic failures and random hardware failure risks in product
design. And according to ASIL level requirements, corresponding safety protection measures are taken to avoid unacceptable
risks caused by system functional failures. All series of products have passed a number of authoritative certifications.
Low frequency magnetic field immunity: Level 3
Pulsed magnetic field immunity: Level 3
Automotive-grade component selection
Meets UL94V-0 flame retardant level
Reliability
Compliant with Cat.2 architecture, featuring dual-processor design with power-on self-test (POST)
ISO????? PLr=D 、IEC/UL ?????、UN ??.?、IEC ????? 、IEC ?????、GB/T ?????-????、GB/T ?????
Meets multiple certification requirements, including but not limited to:
Advantages of Hardware
1
Functional 3 Safety
2 EMI & EMS
6600W TVS with higher anti-surge level
15-year service life expectancy
High-accuracy signal acquisition and filtering
5000VAC insulation withstand voltage level
DC power input port ripple immunity: Level 3
Common mode conducted disturbance immunity: Level 4
Damped oscillatory magnetic field immunity: Level 3
Damped oscillatory wave immunity: Level 3
Multi channel redundant acquisition, with a diagnostic coverage
rate of over 90% for safety related systems
MTTFd reaches the highest level Follows Misra-C coding standards with static code analysis Model-based application layer development with MIL/PIL/HIL testing
The production line scans the QR code to enter the project number, the
cloud automatically searches the program shelf, pulls and downloads
the program automatically, and performs local rapid burning.
Cloud Program Burning
PAGE 11 | 12
The Program Self-Burning Cloud Platform enables rapid burning via QR code scanning, automatically binds hardware,
software and production data, monitors the burning status in real time and supports multi-device collaborative operation.
It effiectively eliminates human errors, helps enterprises reduce costs and improve efflciency, while meeting the flexible
expansion needs of production lines and realizing independent and controllable software burning.
During burning, it automatically uploads HWID, FWID and BurnID to the
background database, and completes the unique binding with project
information for lifetime traceability.
Information Binding
Powerful on-site calibration functions such as battery status check,
online parameter modification, forced relay control, and data export.
On-Site Calibration
Seven Steps of Project Configuration
Guided by the graphical interface, the Project Self-Configuration Cloud Platform allows users to easily complete
the checkboxes for standardized project requirement configuration in seven steps, submit it to the background
server with one click. It can realize automatic generation of iBMS code, software compilation and launch within
three minutes, and push it to the application site via over-the-air (OTA) to complete burning.
Powerful industry expert knowledge base
Embedded software modular architecture design
Code Gen automatic code generation
AutoDeploy automatic software deployment
Demand-based automatic code generation, no programming foundation required for software development
User-friendly graphical operation interface, what you see is what you get
Instant software generation, over-the-air program burning, rapid project delivery
Elimination of manual code writing, improved software security
Core Technologies Product Highlights
Requirement
Input
One-Click
Submission
Rapid
Generation
Over-the
-Air Push
01
02
03
04
05
06
07
UDAN Design Project Self-Configuration Cloud Platform UDAN Burner Program Self-Burning Cloud Platform
System Parameter Configuration
Port Configuration
Discharge Strategy Configuration
Charging Strategy Configuration
OCV/SOC Configuration
Fault Threshold and Parameter Configuration
Other Configurations
UDAN Design
The production line scans the QR code to enter the project number, the
cloud automatically searches the program shelf, pulls and downloads
the program automatically, and performs local rapid burning.
Cloud Program Burning
PAGE 11 | 12
The Program Self-Burning Cloud Platform enables rapid burning via QR code scanning, automatically binds hardware,
software and production data, monitors the burning status in real time and supports multi-device collaborative operation.
It effiectively eliminates human errors, helps enterprises reduce costs and improve efflciency, while meeting the flexible
expansion needs of production lines and realizing independent and controllable software burning.
During burning, it automatically uploads HWID, FWID and BurnID to the
background database, and completes the unique binding with project
information for lifetime traceability.
Information Binding
Powerful on-site calibration functions such as battery status check,
online parameter modification, forced relay control, and data export.
On-Site Calibration
Seven Steps of Project Configuration
Guided by the graphical interface, the Project Self-Configuration Cloud Platform allows users to easily complete
the checkboxes for standardized project requirement configuration in seven steps, submit it to the background
server with one click. It can realize automatic generation of iBMS code, software compilation and launch within
three minutes, and push it to the application site via over-the-air (OTA) to complete burning.
Powerful industry expert knowledge base
Embedded software modular architecture design
Code Gen automatic code generation
AutoDeploy automatic software deployment
Demand-based automatic code generation, no programming foundation required for software development
User-friendly graphical operation interface, what you see is what you get
Instant software generation, over-the-air program burning, rapid project delivery
Elimination of manual code writing, improved software security
Core Technologies Product Highlights
Requirement
Input
One-Click
Submission
Rapid
Generation
Over-the
-Air Push
01
02
03
04
05
06
07
UDAN Design Project Self-Configuration Cloud Platform UDAN Burner Program Self-Burning Cloud Platform
System Parameter Configuration
Port Configuration
Discharge Strategy Configuration
Charging Strategy Configuration
OCV/SOC Configuration
Fault Threshold and Parameter Configuration
Other Configurations
UDAN Design
On the operation interface of the Over-the-Air Self-Upgrade Cloud Platform, users can select the software FWID to be
upgraded and the device HWID to be upgraded in sequence to easily create an over-the-air (OTA) program upgrade
task. It supports simultaneous batch update of 100,000 devices within 10 minutes, with clear upgrade status and full
traceability of upgrade information.
Based on IoT technology, the Remote Self-Monitoring Cloud Platform uploads battery operation data to the cloud
in real time. It supports powerful functions such as battery status query, remote early warning and alarm, remote
fault diagnosis, and software/hardware information traceability, putting battery application fully under control.
Paralleled & Distributed architecture
High-reliability/high-performance self-healing component system
Clustered data storage
High-elasticity architecture design for high-concurrency scenarios
Core Technologies Core Technologies
Netshelf software shelf management
Embedded Memory A/B partitioning
Multi-Factor Authentication
Fingerprint-based information traceability
Product Highlights
Compared with traditional on-site after-sales refresh, OTA upgrade is fast and non-intrusive
18 core technologies including encrypted transmission, anti-intrusion design, storage partitioning, identity authentication, permission identification, etc.
Closed management of program network shelf, full-process operation traceability
Easy management of BMS terminal software version status
PAGE 13 | 14
Including system status, balancing status, alarm information,
remaining power, health index, etc.
Supports hierarchical processing and customizes alarm
channel push to relevant personnel.
Charge-discharge analysis, thermal field analysis, working condition
analysis, consistency analysis, health status evaluation, etc.
Online Monitoring
Early Warning and Alarm
Data Analysis
Report Statistics
Remote Diagnosis
System Configuration
Parameter Calibration
Traceability Management
Product Functions
Special
modes
Shelf
management
Dual
authorization
System
backup
Full-site
encryption
Program
verification Identity
recognition
Breakpoint
resume
UDAN Live Remote Self-Monitoring Cloud Platform UDAN OTA Program Self-Service Upgrade Cloud Platform
Counts battery usage by year/month/day, generates reports,
and provides decision support.
Real-time online data collection, fault reasoning and
diagnosis, and remote location of fault causes.
Remotely calibrates BMS management parameters,
including fault thresholds, control strategies, etc.
Information traceability system based on three identification
codes, enabling full-life-cycle mastery of battery information.
Customizes group information, creates administrator
accounts, and implements permission isolation.
On the operation interface of the Over-the-Air Self-Upgrade Cloud Platform, users can select the software FWID to be
upgraded and the device HWID to be upgraded in sequence to easily create an over-the-air (OTA) program upgrade
task. It supports simultaneous batch update of 100,000 devices within 10 minutes, with clear upgrade status and full
traceability of upgrade information.
Based on IoT technology, the Remote Self-Monitoring Cloud Platform uploads battery operation data to the cloud
in real time. It supports powerful functions such as battery status query, remote early warning and alarm, remote
fault diagnosis, and software/hardware information traceability, putting battery application fully under control.
Paralleled & Distributed architecture
High-reliability/high-performance self-healing component system
Clustered data storage
High-elasticity architecture design for high-concurrency scenarios
Core Technologies Core Technologies
Netshelf software shelf management
Embedded Memory A/B partitioning
Multi-Factor Authentication
Fingerprint-based information traceability
Product Highlights
Compared with traditional on-site after-sales refresh, OTA upgrade is fast and non-intrusive
18 core technologies including encrypted transmission, anti-intrusion design, storage partitioning, identity authentication, permission identification, etc.
Closed management of program network shelf, full-process operation traceability
Easy management of BMS terminal software version status
PAGE 13 | 14
Including system status, balancing status, alarm information,
remaining power, health index, etc.
Supports hierarchical processing and customizes alarm
channel push to relevant personnel.
Charge-discharge analysis, thermal field analysis, working condition
analysis, consistency analysis, health status evaluation, etc.
Online Monitoring
Early Warning and Alarm
Data Analysis
Report Statistics
Remote Diagnosis
System Configuration
Parameter Calibration
Traceability Management
Product Functions
Special
modes
Shelf
management
Dual
authorization
System
backup
Full-site
encryption
Program
verification Identity
recognition
Breakpoint
resume
UDAN Live Remote Self-Monitoring Cloud Platform UDAN OTA Program Self-Service Upgrade Cloud Platform
Counts battery usage by year/month/day, generates reports,
and provides decision support.
Real-time online data collection, fault reasoning and
diagnosis, and remote location of fault causes.
Remotely calibrates BMS management parameters,
including fault thresholds, control strategies, etc.
Information traceability system based on three identification
codes, enabling full-life-cycle mastery of battery information.
Customizes group information, creates administrator
accounts, and implements permission isolation.
Provide SaaS solutions and Standalone Deployment
Two modes to save and optimize enterprise resource
allocation Highly cost-effective, enabling optimal
choices for enterprises
Hands-on experience serving energy aggregators
& battery/PACK manufacturers Proven industry
best practices and successful cases
Lean management across the entire lifecycle
Centralized operations, early warning and diagnostics, OTA software updates Software and hardware
traceability, asset value assessment, etc
Support web and mobile platforms Android
/iOS/WeChat Mini Program Application
Hardware-to-application turnkey solutions
Triple Authentication & Three-Level Encryption
Encrypted Storage of Key Data with Horizontal
Scalability Support High Reliability with 99.99%
Service Availability
Rich Industry Application Experience Rapid Deployment
Turnkey Solutions Powerful Functions
Personalized and Flexible Customization High Service Availability
Provide domain name, login page background,
and copywriting Logo, monitoring dashboards,
and protocol documents, etc Multiple customized
service options
PAGE 15 | 16
Application Advantages
Smart Data
Provide SaaS solutions and Standalone Deployment
Two modes to save and optimize enterprise resource
allocation Highly cost-effective, enabling optimal
choices for enterprises
Hands-on experience serving energy aggregators
& battery/PACK manufacturers Proven industry
best practices and successful cases
Lean management across the entire lifecycle
Centralized operations, early warning and diagnostics, OTA software updates Software and hardware
traceability, asset value assessment, etc
Support web and mobile platforms Android
/iOS/WeChat Mini Program Application
Hardware-to-application turnkey solutions
Triple Authentication & Three-Level Encryption
Encrypted Storage of Key Data with Horizontal
Scalability Support High Reliability with 99.99%
Service Availability
Rich Industry Application Experience Rapid Deployment
Turnkey Solutions Powerful Functions
Personalized and Flexible Customization High Service Availability
Provide domain name, login page background,
and copywriting Logo, monitoring dashboards,
and protocol documents, etc Multiple customized
service options
PAGE 15 | 16
Application Advantages
Smart Data
Cloud-based collaborative management leverages the massive storage and computational capabilities of cloud
servers. For non-stationary, multidimensional operational data streams, it employs machine learning methods to build
big data analytics models. These models continuously iterate and optimize battery management parameters,
enabling cloud-based collaborative control.
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.
1 Key Technologies
2 Productized Application
PAGE 17 | 18
Cloud storage + HDFS backup/hot-cold separation, full lifecycle storage
Reliable communication via MQTT protocol
Massive storage for ElasticSearch/time-series data
Cloud storage + HDFS backup/hot-cold separation, full lifecycle storage
Offline and real-time analysis processing for massive data using Spark+Doris
Machine learning algorithm data modeling
Data is fed into the AI early warning
model for security alert detection.
The AI early warning model employs
an ensemble approach combining
unsupervised learning for dimensionality reduction and clustering
with supervised learning neural
networks for prediction.
Z-score analysis method
High-frequency acquisition + analysis of the full life
cycle changes in platform pressure differential
Measure the degree of discreteness of the minimum voltage cell using information entropy
Highest voltage number information
Using a hybrid neural network to predict the
temperature change values, and in combination with
the early warning rules, issue an early warning.
Unsupervised learning Supervised learning
Based on the high-level collaboration between the edge and cloud,
the first batch of data is packaged and pushed to the cloud, and the
internal resistance of each individual unit is estimated.
UDAN
Solutions
Temperature monitoring
Internal resistance distribution
Individual voltage anomaly situation
Analysis of pressure differential changes
Cloud Collaborative Management Proactive Safety Management
reference curve
curve to be translated
curve after translation
Time
Voltage(mV)
Before achieving balance Balanced V1.0
during operation
Balanced V2.0
runtime operation
Cell Voltage#2(mv) Cell Voltage#12(mv)
Cloud-based collaborative management leverages the massive storage and computational capabilities of cloud
servers. For non-stationary, multidimensional operational data streams, it employs machine learning methods to build
big data analytics models. These models continuously iterate and optimize battery management parameters,
enabling cloud-based collaborative control.
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.
1 Key Technologies
2 Productized Application
PAGE 17 | 18
Cloud storage + HDFS backup/hot-cold separation, full lifecycle storage
Reliable communication via MQTT protocol
Massive storage for ElasticSearch/time-series data
Cloud storage + HDFS backup/hot-cold separation, full lifecycle storage
Offline and real-time analysis processing for massive data using Spark+Doris
Machine learning algorithm data modeling
Data is fed into the AI early warning
model for security alert detection.
The AI early warning model employs
an ensemble approach combining
unsupervised learning for dimensionality reduction and clustering
with supervised learning neural
networks for prediction.
Z-score analysis method
High-frequency acquisition + analysis of the full life
cycle changes in platform pressure differential
Measure the degree of discreteness of the minimum voltage cell using information entropy
Highest voltage number information
Using a hybrid neural network to predict the
temperature change values, and in combination with
the early warning rules, issue an early warning.
Unsupervised learning Supervised learning
Based on the high-level collaboration between the edge and cloud,
the first batch of data is packaged and pushed to the cloud, and the
internal resistance of each individual unit is estimated.
UDAN
Solutions
Temperature monitoring
Internal resistance distribution
Individual voltage anomaly situation
Analysis of pressure differential changes
Cloud Collaborative Management Proactive Safety Management
reference curve
curve to be translated
curve after translation
Time
Voltage(mV)
Before achieving balance Balanced V1.0
during operation
Balanced V2.0
runtime operation
Cell Voltage#2(mv) Cell Voltage#12(mv)
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.
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.
Predicts the service life of batteries, so as to replace batteries in a
timely manner and avoid system failures caused by battery faults.
Optimizes battery usage strategies, improves battery utilization
rate, and thus enhances the effciency of the entire system.
Makes full use of the performance of old batteries and
reduces cost waste caused by battery replacement.
Identifies potential battery faults in a timely manner
and avoids safety accidents caused by battery faults.
Guiding Battery Maintenance
Voltage Consistency
Temperature Consistency
Temperature Change Rate
Voltage Change Rate
Voltage Difierence
at Difierent Voltages
Capacity Variation
Result of Fitting to Normal
Distribution of Characteristics
Feature Selection
and Calculation Rules
Improving System Effciency
Reducing Operating Costs
Ensuring System Safety
PAGE 19 | 20
600
Cumulative Data Received
9
Maximum Operating Time
100
Countries and Regions
500 Millions
Daily Uploads
1
7 0 / C n
i
t
i t F I dt =
= ∫
_ _
1
( ) / , 5 6
d
f i max i min
i
F v v d f =
= ∑ ? = ，
4 1
1
/
N
n n
k
n
F v v N =
= ∑ ?
1
3
1 1
/
T s s
k
s s
s k
tm tm F T t t =
? = ∑ ?
( )
2
2
1 1
/
T k
s
j j
s j
F tm tm T = =
= ∑ ∑ ?
( )
2
1 1 1
max
l
n
i i n N i
F v v ≤ ≤ =
= ∑ ?
Kafka
Cluster MQTT Access Layer
TDengine Cluster
Stream
Processing
Layer
Device
Flink tasks_1
Flink tasks_2
Flink tasks_3
Flink tasks_n
BMS_1
BMS_2
BMS_3
BMS_n
Cycle
Cycle
Active Safety
Warning
SOE Correction
SOH Assessment
Intelligent Thermal
Management
Remote Cell
Balancing
Intelligent
Diagnostics
Other Extensible Models
Model Generator, Machine Learning, Deep Learning
Hadoop Architecture
Elasticsearch Cluster
Report Database
Model
Layer
Battery Value Management Data Advantages
Significance
Six in One
Frequency
Probability density
Voltage distance
Frequency
Probability density
Distance value
Frequency
Probability density
Temperature rise rate
Frequency
Probability density
Voltage variation （mV）
Frequency
Probability density
Dropout voltage
Frequency
Probability density
Change in capacity
Voltage follows a normal distribution
Voltage distribution distance
Probability density curve
Dropout voltage normal distribution
Dropout voltage distribution
Probability density curve
Normal distribution of capacity variation
Distribution of capacity variation
Probability density curve
Temperature rise rate follows a normal distribution
Temperature rise rate distribution
Probability density curve
Voltage variation follows a normal distribution
Distribution of voltage variation
Probability density curve
Temperature follows a normal distribution
200 Years + Sets+ +
Cloud Servers
Devices + Billions
of data +
Temperature distribution in distance
Probability density curve
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.
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.
Predicts the service life of batteries, so as to replace batteries in a
timely manner and avoid system failures caused by battery faults.
Optimizes battery usage strategies, improves battery utilization
rate, and thus enhances the effciency of the entire system.
Makes full use of the performance of old batteries and
reduces cost waste caused by battery replacement.
Identifies potential battery faults in a timely manner
and avoids safety accidents caused by battery faults.
Guiding Battery Maintenance
Voltage Consistency
Temperature Consistency
Temperature Change Rate
Voltage Change Rate
Voltage Difierence
at Difierent Voltages
Capacity Variation
Result of Fitting to Normal
Distribution of Characteristics
Feature Selection
and Calculation Rules
Improving System Effciency
Reducing Operating Costs
Ensuring System Safety
PAGE 19 | 20
600
Cumulative Data Received
9
Maximum Operating Time
100
Countries and Regions
500 Millions
Daily Uploads
1
7 0 / C n
i
t
i t F I dt =
= ∫
_ _
1
( ) / , 5 6
d
f i max i min
i
F v v d f =
= ∑ ? = ，
4 1
1
/
N
n n
k
n
F v v N =
= ∑ ?
1
3
1 1
/
T s s
k
s s
s k
tm tm F T t t =
? = ∑ ?
( )
2
2
1 1
/
T k
s
j j
s j
F tm tm T = =
= ∑ ∑ ?
( )
2
1 1 1
max
l
n
i i n N i
F v v ≤ ≤ =
= ∑ ?
Kafka
Cluster MQTT Access Layer
TDengine Cluster
Stream
Processing
Layer
Device
Flink tasks_1
Flink tasks_2
Flink tasks_3
Flink tasks_n
BMS_1
BMS_2
BMS_3
BMS_n
Cycle
Cycle
Active Safety
Warning
SOE Correction
SOH Assessment
Intelligent Thermal
Management
Remote Cell
Balancing
Intelligent
Diagnostics
Other Extensible Models
Model Generator, Machine Learning, Deep Learning
Hadoop Architecture
Elasticsearch Cluster
Report Database
Model
Layer
Battery Value Management Data Advantages
Significance
Six in One
Frequency
Probability density
Voltage distance
Frequency
Probability density
Distance value
Frequency
Probability density
Temperature rise rate
Frequency
Probability density
Voltage variation （mV）
Frequency
Probability density
Dropout voltage
Frequency
Probability density
Change in capacity
Voltage follows a normal distribution
Voltage distribution distance
Probability density curve
Dropout voltage normal distribution
Dropout voltage distribution
Probability density curve
Normal distribution of capacity variation
Distribution of capacity variation
Probability density curve
Temperature rise rate follows a normal distribution
Temperature rise rate distribution
Probability density curve
Voltage variation follows a normal distribution
Distribution of voltage variation
Probability density curve
Temperature follows a normal distribution
200 Years + Sets+ +
Cloud Servers
Devices + Billions
of data +
Temperature distribution in distance
Probability density curve
About UDAN
PAGE 21 | 22
Core Values
Focus, Simplicity, Trust
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 efflciently.
400 +
Team size
50 %
R&D personnel ratio
+
members
About UDAN
PAGE 21 | 22
Core Values
Focus, Simplicity, Trust
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 efflciently.
400 +
Team size
50 %
R&D personnel ratio
+
members
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
PAGE 23 | 24
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
Footprints
PAGE 23 | 24
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
PAGE 23 | 24
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
Footprints
PAGE 23 | 24
Business Scopes End-Cloud Integration, Dual-Drive Strategy
PAGE 25 | 26
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.
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 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.
Power storage
Business Scopes End-Cloud Integration, Dual-Drive Strategy
PAGE 25 | 26
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.
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 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.
Power storage
Enter UDAN
PAGE 27 | 28
Enter UDAN
PAGE 27 | 28
End-Cloud Integrated
Intelligent Management Solution
www.udantech.com
Construction Machinery
UDAN 2026 Product Catalogue
Focus Simplicity Trust
contact@udantech.com
