电动汽车动力蓄电池组监测系统的研究  

Research of Electric Vehicle Power Battery Monitoring System

作　　者：李长安[1] 李琦[2] 符锋钊[1] 孙昱[1] 付少波[1] 

机构地区：[1]军事交通学院基础部 [2]93756部队电子教研室

出　　处：《现代电子技术》2009年第23期206-209,共4页Modern Electronics Technique

摘　　要：剩余容量的预测和蓄电池组故障检测是电动汽车能量管理技术的两个突出问题。采用电压/频率转换电路实现对蓄电池隔离采样的电压巡检,运用高压端电流检测电路保证了检测的精度及可靠性。针对电动汽车配置的铅酸蓄电池组,绕开影响蓄电池剩余容量繁杂的内部因素,提出一种基于蓄电池外特性构建的BP神经网络模型,实现对蓄电池剩余容量的实时、准确预测。The remaining capacity prediction and fault detection of battery are two major problems in electric vehicle energy management technology. Voltage / frequency converter is adapted to realize the inspection of sampling voltage of battery isolation circuit,high - voltage side current detection circuit is used to ensure the accuracy and reliability in testing. Concerning lead - acid battery group on electric vehicle,by steering clear of the effects from complex internal factors of the remaining battery capaeity,BP neural network model is built based on the battery outside characteristics. Finally, real - time and accurate prediction of remaining capacity is realized.

关 键 词：电动汽车 电压巡检 高压端电流检测 蓄电池剩余容量 BP神经网络 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]