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Composition and characteristics of battery BMS system

Time:Nov 28, 2022 Views:567


1) Battery detection EBM module

Each battery shall be equipped with an independent battery module, also called EBM module, to realize real-time online detection of individual voltage and individual temperature. With the cooperation of the BMFM host, once the battery pack has a discharge motor, the internal resistance of the single battery at the end of the discharge is detected, and when the battery pack discharge exceeds 7% of the total capacity, the fault battery is accurately judged and located according to the parameter characteristics before the battery pack discharge reaches equilibrium and in combination with the internal resistance of the battery pack during discharge.

The BMFM host communicates with the EBM monitoring module of each single battery to realize real-time monitoring of the cell voltage, cell temperature and battery pack ambient temperature.


2) Local BMFM host of BMS system

There are two types of BMFM hosts:

(a) BMFM-1000 is a local dynamic environment monitoring system access type:

The BMFM intelligent battery management fault monitor, the local monitoring host of the BMS system, as an intelligent device, is connected to the local power and environment monitoring server or the local microcomputer monitoring system through its own RS485 interface (providing MODBUS protocol). An EBM interface of the BMFM host can monitor up to 254 batteries in series, as long as it is for the same main input The output current (the total input and output current is obtained by connecting the host current sensor interface to the Hall battery sensor) is not limited to the series and parallel structures of the battery.

(b) BMFM-2000 is a remote networking type:

The BMFM intelligent battery management fault monitor, the local monitoring host of the BMS system, as a network device, is connected to the local network switch through its own LAN interface. On the server of the remote monitoring center, through the company's BMS system cloud big data platform,

(1) Battery management expert system based on national invention patent technology

(a) Provide accurate battery operation information, such as backup time, capacity, life, etc

(b) When the load changes during battery discharge, the discharge backup time is automatically calculated and displayed

(c) Monitor the improper use and environmental conditions of the battery pack within its service life cycle, and request users to make improvements to prevent premature aging of the battery

(2) Intelligent adaptive learning

(a) Learn and record each discharge condition of the battery. If initial power on self-learning is carried out, the accuracy of battery management parameters can be improved

(b) It can accurately measure and correct the capacity attenuation value of the battery pack during its service life, and supply battery discharge residual capacity (backup time) with the same accuracy for new and old batteries.

(3) Innovative fault monitoring technology in the industry to monitor the whole process of battery electrode reaction


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