摘要
目前电动汽车主要以锂电池作为动力来源,为了提高锂电池的使用时间和安全性,为锂电池提供安全良好的运行环境,电池管理系统应运而生。BMS主控单元基于S32K144汽车级单片机,通过主从式网络控制结构能够对锂电池的各个参数进行采集与分析。采用扩展卡尔曼滤波对电池的荷电状态(SOC)进行估算,克服普通估算方法无法避免电池内阻误差的缺点,通过Matlab/Simulink软件仿真验证可使估算误差达到2%以内。
At present,electric vehicles mainly use lithium batteries as the power source.In order to improve the running time and safety of lithium batteries,a safe and good operating environment for power batteries is provided,and a battery management system(BMS) has emerged.The BMS main control unit is based on the S32K144 automotive-grade control chip.Through the master-slave network control structure,it can collect and analyze the various parameters of the lithium battery.The Extended Kalman Filter(EKF) is used to estimate the state of charge(SOC) of the battery,which overcomes the shortcomings of the internal estimation method that cannot overcome the internal resistance error of the battery.It can be verified by Matlab/Simulink software simulation.The estimation error is within 2%.
作者
李西
李立伟
杨玉新
罗羽
Li Xi;Li Liwei;Yang Yuxin;Luo Yu(College of Electrical Engineering,Qingdao University,Qingdao 266071,China;Library,Qingdao University;Weifang Quality Inspection Institute)
出处
《单片机与嵌入式系统应用》
2019年第11期27-30,共4页
Microcontrollers & Embedded Systems
基金
省部级-山东省科技发展计划项目资助(2011GGB01123)
