Data Collection: Sensors in each battery module gather real-time data on voltage, current, temperature, and SOC.
Data Transmission: Data is sent through wired connections to a central processing unit for analysis.
Real-time Analysis: The BMS estimates SOC and SOH based on the collected data.
Abnormal Condition Detection: The BMS identifies issues like overcharging, over-discharging, and overheating.
Preventive Actions: Immediate measures are taken to prevent safety accidents and extend battery life.
Wired Battery Monitoring System owns online parameter identification, self-correction of charging, no jump, which renders SOC error of all working conditions no more than 5%, and hence improves battery utilization ratio and operationa
While taking advantage of Kalman filtering, multi-dimensional, fuzzy neural, open circuit voltage method and other algorithms.
Additionally, it provides high accuracy SOC estimation, improving the SOC accuracy of traditional BMS from ±20% to ±45%.