基于STM32的全钒液流电池管理系统的设计与实现

为了解决PLC信息采样端口有限，扩展成本高以及功能多样化受限的问题，设计了基于ARM的全钒液流电池（VFB）管理系统。系统利用霍尔传感器实现电压电流的采集，采用修正卡尔曼滤波法实现剩余电荷量（SOC）估计，利用MCGS组态软件实现数据的实时监测以及故障诊断和显示，并实时控制钒电解液的活化和混合，自主切换工作模式。本电池管理系统可实现电池侧电压、电流和温度等信号的实时数据监测、系统的故障诊断以及保护，并能存储和远程上传数据。现场联机测试结果表明，SOC估计误差可控制在±2%，电池充电时间缩短25%，实时响应速度快。该系统能够提高电池的利用率，防止电池出现过充和过放，运行可靠，已投入批量研制和生产。

Design and implementation of vanadium flow battery management systembased on ARM

In order to solve the problems of limited information sampling port, high expansion cost and limited function diversity of PLC, a full vanadium flow battery (VFB) management system based on ARM was designed. The system used hall sensors to collect voltage and current signal, modified Kalman filter to estimate residual charge (SOC). Meanwhile, MCGS configuration software is used to realize the real-time monitoring of the data, as well as fault diagnosis and display, and to control the activation and mixing of the vanadium electrolyte, and select the corresponding working mode and time. The system can realize real-time data monitoring of battery side voltage, current and temperature signals, system fault diagnosis and protection, and can store and upload data remotely.The on-line test results show that the SOC estimation error can be controlled within ±2%, the battery charging time is shortened by 25%, and the real-time response speed is fast. The system can improve the utilization rate of the battery, prevent the battery from overcharging and overdischarging, and run reliably. It has been put into batch development and production.