摘要
针对性能退化的CR400AF型动车组蓄电池存在的问题,本文主要对CR400AF型动车组蓄电池可靠性评估方法进行研究。结合CR400AF型动车组蓄电池实际运用情况,分析其失效模式,并基于CR400AF型动车组DC110V碱性蓄电池的性能退化基理,建立碱性蓄电池性能退化模型,并通过电池管理系统(battery management system,BMS)实时采集蓄电池的单体电压、温度、充/放电电流和总电压,同时对电池荷电状态(state of charge,SOC)和健康状况(state of health,SOH)进行实时估算和状态评估,为验证本文提出的SOC估算方法的有效性,采用Matlab/Simulink软件进行仿真实验。仿真结果表明,在实际运行工况中,可以根据预测值对SOC估算值进行快速矫正,保证电池的健康状态,而且根据残差曲线,一旦完成对SOC矫正后,估算值与理论值最大误差不超过3%,符合实际需求,实现对蓄电池组的全方位监控和管理。该研究对于提高蓄电池供电可靠性具有重要意义。
In view of the problems existing in CR400AF EMU battery with degraded performance,this paper mainly studies the reliability evaluation method of CR400AF EMU battery.Based on the performance degradation principle of dc110V alkaline battery of CR400AF EMU,the performance degradation model of basic battery is established.The single voltage,temperature,charging/discharge current and total voltage of the battery are collected in real time by battery management system,At the same time,the state of charge and state of Health of the battery are estimated and evaluated in real time.In order to verify the effectiveness of the SOC estimation method proposed in this paper,matlab/simulink software is used to simulate the test.The simulation results show that in the actual operation condition,the estimated SOC can be corrected quickly according to the predicted value to ensure the healthy state of the battery.Moreover,according to the residual curve,once the SOC correction is completed,the maximum error between the estimated value and the theoretical value is no more than 3%,which conforms to the actual requirements,and realizes the comprehensive monitoring and management of the battery group.This research is of great significance to improve the reliability of battery power supply.
作者
余飞
杨榆
李立伟
YU Fei;YANG Yu;LI Liwei(China Railway Guangzhou Group Co.,Ltd.Guangzhou EMU Depot,Guangzhou 511483,China;Weihai Innovation Research Institute of Qingdao University,Qingdao University,Weihai 264200,China)
出处
《青岛大学学报（工程技术版）》
CAS
2021年第3期12-21,共10页
Journal of Qingdao University(Engineering & Technology Edition)
基金
中国铁路总公司科技研究开发计划项目(P2018J001)。
关键词
电池管理系统
性能退化
蓄电池
可靠性
battery management system
performance degradation
battery
reliability
