电动汽车动力蓄电池组监测系统的研究.pdfVIP

: 电动汽车动力蓄电池组监测系统的研究 1 2 1 1 1 李长安 ,李 琦 , 符锋钊 , 孙 昱 , 付少波 ( 1. 300161; 2. 93756 300131) :剩余容量的预测和蓄电池组故障检测是电动汽车 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 : 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 :T P277 :A : 1004373X(2009) 2320604 Research of Electric Vehicle Power Battery Monitoring System 1 2 1 1 1 LI Changan ,LI Qi ,F Fengzhao ,S N Yu , F Shaobo (1.General Courses Department, Academy of Military Transportation, Tianjin,300161, China;2.Electronic Staff Room, nit 93756 PLA ,Tianjin, 300131, China) Abstract :T he 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 isola tion circuit, highvoltage 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 ca pacity,BP neural network model is built based on the battery outside characteristics. Finally,realtime and accurate prediction of remaining capacity is realized. Keyw ords: electric vehicles; voltage inspection; high voltage side current detection; battery remaining capacity; BP neural network ( Electric Vehicle, EV) , , , , [ 1] , ,