电动汽车电池SOH的信号统计分析  

Signal statistic analysis for electric vehicle battery SOH

作　　者：陈峭岩[1] 魏克新[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《电源技术》2016年第2期342-344,共3页Chinese Journal of Power Sources

基　　金：国家高技术研究发展"863"计划项目(2011AA11A279)

摘　　要：针对传统方法估计电动汽车电池SOH(state of health)时内部参数测量困难的问题,提出了统计电池外部信号估计SOH的新方法。由于电池外部信号易于获取,从而使新的估计方法简单易行。模拟标准路况下的电池功率时间序列做电池放电实验,从三个角度做统计研究,发现电池外部端电压和电流信号关于SOH具有统计规律,其统计结果可以表征电池的SOH。结论证明了信号统计方法估计电动汽车电池SOH的可行性。Using the traditional methods to estimate battery’s state of health（SOH）, it was difficult to measure the electric vehicle（EV） battery’s inner parameters. A new method of battery’s external signals statistics was proposed to solve this problem. The new estimation method was simple and practicable since the external signals could be obtained easily. The batteries simulating battery power time series were discharged under the standard road condition, and found that battery’s external terminal voltage and current signals had statistical law about SOH from three perspectives, so the statistical results could characterize battery’s SOH. The above conclusion proved the feasibility of using the methods of signals statistics to estimate EV battery’s SOH.

关 键 词：电动汽车 健康状态 锂离子电池 小波能量 

分 类 号：TM912[电气工程—电力电子与电力传动]