电测与仪表2011，Vol.48Issue(3)：34-37,4.
电动汽车SOC利用BP神经网络模型预测方法研究
BP Neural Network Model Estimation on State of Charge for Electric Vehicle
刘瑞浩 1孙玉坤 1陈坤华1
作者信息
- 1. 江苏大学电气学院,江苏,镇江,212013
- 折叠
摘要
Abstract
In order to solve the issue that accurate estimation of the state of charge for electric vehicle is difficult, this paper introduces neural network method to build prediction model for remaining capacity of battery, and achieves Li ion battery state of charge estimation which is in the process of charge - discharge. At last, it verifies the model with test data in the end, and predictive results of remaining capacity have error to some extent with the actual value. The modeling method is available and has some reference value when accuracy is not highly required, and it should be improved for requirements of higher accuracy.关键词
磷酸铁锂离子电池/剩余电量预测/神经网络法/网络训练/充放电倍率/环境温度Key words
Li - ion battery/ state of charge estimation/ the method of neural network/ network training/ charge - discharge rates/ ambient temperature分类
信息技术与安全科学引用本文复制引用
刘瑞浩,孙玉坤,陈坤华..电动汽车SOC利用BP神经网络模型预测方法研究[J].电测与仪表,2011,48(3):34-37,4.
