Electric Vehicle (EV) Battery Management System (BMS)
Intelligent Battery Management Escorts High Voltage Safety
The new 800V BMS platform product is more efficient, safe and intelligent. With the powerful ZEEKR SEA architecture and new smart battery, it can easily achieve 1000KM endurance, completely eliminate the user's "mileage anxiety", and has millisecond-level high-voltage flash-off technology to escort your car safety at all times
Four Advantages
High Security
The product meets the functional safety ASIL-C requirements, supports millisecond-level high-voltage flash-off, full-time dual-backup thermal runaway monitoring, and escorts high-voltage safety
High-precision Prediction
Equipped with a new generation of ADI acquisition chips, the basic information is accurately controlled, and the SOC estimation accuracy reaches 2%, which helps to improve the battery life
High Reliability
Using two-way daisy-chain communication technology, basic collection is more reliable; support A/B backup sensorless flashing and code rollback to improve OTA experience
Highly Intelligent
Relying on the massive battery data of the enterprise big data platform, it deeply mines users' usage habits and customizes personalized battery algorithms for users
High Security
2ms
Based on the new software and hardware platform + intelligent FUSE to achieve high-voltage millisecond flash-off technology, high-voltage safety is more reliable under extreme conditions such as vehicle overcurrent and collision
24 Hours*365 days
Full-time dual backup thermal runaway monitoring and early warning technology, based on multi-factor coupling early warning, supports reverse wake-up technology, and battery safety monitoring with no dead ends
ASIL-C
Obtained ISO26262 functional safety ASIL-C international certification, leading product competitiveness in the industry
High-precision Prediction
SOC 2%
Based on the battery model and Kalman filter to estimate SOC, the accuracy is as high as 2%, leading the industry, and the remaining power is accurately predicted to help improve battery life
SOH 3%
The cloud-ground fusion algorithm based on big data realizes the online identification of model parameters, the SOH state accuracy reaches 3%, and the battery health index is well known
Basic Sampling Accuracy
Single voltage accuracy ±3mV, total current ±0.5%@RD, total voltage total current with 1ms synchronization, total voltage total current and single voltage total with10ms synchronization, improve algorithm accuracy
High Reliability
Double Backup Code Rollback
Support A/B partition dual backup sensorless flashing, support code rollback, and comprehensively improve customer upgrade experience
Two-way Daisy Chain Technology
Support two-way daisy chain communication, comprehensively improve data reliability and robustness, and make basic communication more reliable
High and Low Voltage Isolation
High and low voltage sampling isolation of main control scheme, safer electrical design and lower failure rate
Smarter
Smart Power Prediction
Identify users' car habits through national standard big data, and customize personalized power algorithms to meet the dual requirements of performance and endurance
Smart Charging Algorithm
Combined with the user's charging scene and car usage period, the personalized charging algorithm is customized to meet the user's triple consideration of charging time, charging cost, and battery life
Customized Service
On the premise of battery performance and lifespan, push personalized battery algorithm services to comprehensively improve user experience and enhance user interaction
Cooperation Case
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