基于融合修正SOC算法的家用储能BMS系统设计  

Design of Household Energy Storage BMS System Based on Fusion Modified SOC Algorithm

作　　者：孟令锋 杨涛 Meng Lingfeng;Yang Tao(Sichuan Hongwei Technology Co.,Ltd.,Chengdu,610041,China;Chengdu Aiqi Technology Co.,Ltd.,Chengdu,610041,China)

机构地区：[1]四川虹微技术有限公司,成都610041 [2]成都爱旗科技有限公司,成都610041

出　　处：《仪器仪表用户》2021年第10期9-13,共5页Instrumentation

基　　金：2020年四川省科技厅计划项目(2020YFG0358)。

摘　　要：本文基于融合修正SOC估计算法,设计了一种用于家用储能的电池管理系统(BMS)。基于家用储能系统BMS主从拓扑结构及磷酸铁锂电池的特性,设计了一种以NXP单片机(MC9S12)和TI电池管理芯片(BQPLA455A)为核心的BMS。该BMS可实现对多路电池电压、温度采集及均衡控制;同时,可根据采样数据利用融合修正SOC算法进行SOC计算。根据测试实际数据,将通过电池组实际电压、温度值与系统采样值,对电池均衡效果及SOC进行分析。试验结果证明,设计的BMS具有较高的采样精度和采样速度,均衡控制合理,SOC估算值误差较小,验证了本文所设计家用储能BMS的可用性。A battery management system(BMS)for household energy storage is designed based on fusion modified SOC estimation algorithm.Based on the master-slave topology of BMS and the characteristics of LiFePO4 battery,a BMS with NXP single chip microcomputer(MC9S12)and Ti battery management chip(BQPLA455A)as the core is designed.The BMS can realize multi-channel battery voltage and temperature acquisition and equalization control;At the same time,SOC can be calculated by fusion modified SOC algorithm according to the sampled data.According to the actual test data,the actual voltage and temperature of the battery pack are compared with the system sampling value,and the battery equalization effect and SOC are analyzed.The test results show that the designed BMS has high sampling accuracy and sampling speed,reasonable equalization control and small SOC estimation error,which verifies the availability of the household energy storage BMS designed in this paper.

关 键 词：SOC算法 锂电储能 电池管理系统 电池电压采集 电池温度采集 

分 类 号：TM912[电气工程—电力电子与电力传动]