Cloud Based Warning System AI BMS

Batteries are highly complex nonlinear systems that involve multiple physical field processes, such as electrochemical, thermal, mechanical and chemical reaction dynamics. Based on the battery mechanism and years of expertise in the battery field, Huawei AI BMS integrates big data and AI capabilities and are based on massive cloud data.

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Warning 24h in advance

Millions of Concurrent Vehicles Online

SOC Error within ±3%

Technical Specifications

24-hour battery fault warning: 24-hour advance warning for thermal runaway faults and level-3 fault alarms, with a recall rate greater than 90% and a false positive rate less than 0.1% per month.
Huawei proprietary algorithm implements cell-level fault alarms: The battery-level short circuit and consistency alarms are generated. The recall rate is greater than 70%, and the false positive rate is less than 0.4% per month, reminding users of on-demand maintenance.
Cloud-based visualized O&M management system for millions of vehicles: Focuses on vehicle information overview, charging and discharging status visualization, and alarm and warning information display, facilitating intelligent O&M for automobile enterprises.
Intelligent battery management, upgrade user experience: accurate battery status evaluation, battery life management optimization, battery health certificate.

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Battery Management System

Huawei BMS consists of BCU (Battery Control Unit) and BMU (battery monitor unit). BCU is responsible for charge & discharge management, SOX estimation, fault protection, and communication with the vehicle system. BMU is in charge of battery voltage and temperature sampling and battery balancing.