摘要
随着新能源车辆的普及,针对市场对电池管理系统越来越多的要求,设计了应用于纯电动车辆上的BMS。系统兼顾成本和功能,以STM32单片机为主控制芯片,使用模拟前端芯片,实时检测单体和总体电压。热敏电阻搭配多路复用器实现对单点温度采集。霍尔元件可非接触式收集电流信息。均衡电路依据系统采集回来的信息自动均衡各电池之间的容量差异。此外系统还具有绝缘检测和通信功能。使用扩展卡尔曼滤波算法对系统SOC进行估计。研究实验表明,系统对电压、电流和温度检测以及SOC参数估计均具有较高的精度和可靠性,提高了电池安全性和使用效率。该系统功能完善可靠,具有一定的实际工程意义。
With the popularization of new energy vehicles, in response to the market′s increasing requirements for battery management systems, BMS applied to pure electric vehicles has been designed. The system takes both cost and function into consideration, with STM32 single-chip microcomputer as the main control chip, using analog front-end chip, real-time detection of monomer and overall voltage. The thermistor is matched with a multiplexer to realize single point temperature collection. The Hall element can collect current information in a non-contact manner. The equalizing circuit automatically equalizes the capacity difference between the batteries according to the information collected by the system. In addition, the system also has insulation detection and communication functions. Use the extended Kalman filter algorithm to estimate the system SOC. Research experiments show that the system has high accuracy and reliability for voltage, current and temperature detection and SOC parameter estimation, which improves battery safety and efficiency. The system has complete and reliable functions, and has certain practical engineering significance.
作者
王彪
李永红
岳凤英
Wang Biao;Li Yonghong;Yue Fengying(School of Instrument and Electronics,North University of China,Taiyuan 030051,China;School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China)
出处
《电子测量技术》
北大核心
2021年第14期59-64,共6页
Electronic Measurement Technology
基金
山西省面上自然基金项目(201901D111158)资助。
关键词
电池管理系统
卡尔曼滤波
SOC
BMS
单片机
battery management system
Kalman filter
SOC
BMS
single chip microcomputer
