Estimation of State of Charge of a Battery Pack in Variable Power Cases with Artificial Neural Networks

摘要：

It is very important to estimate the state of charge (SOC) of battery packs in electric vehicles. Frequent variation of operation cases can alter charge and discharge current of the battery pack, which causes variation of the rated capacity of the battery pack. When current, temperature and voltage of the modules in the battery pack are used as input variables of artificial neural network (ANN), SOC can be estimated. Variable power discharge testing under FUDS was performed on test bench and experimental results validate estimation of SOC of the battery pack with ANN.

关键词： electric vehicle state of charge RBF artificial neural networks battery pack

作者: Yong Chen Guiyuan Li

作者单位: College of Automobile and Transporting Engineering, Liaoning Institute of Technology Jinzhou, Liaoning Province, P.R.C.

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）