重庆理工大学学报：自然科学Issue(10)：1-5,5.
基于径向基函数神经网络的电动汽车动力电池SOC模型
Model in State of Charge for of Electric Vehicle Power Battery Based on Radial Basis Function Neural Network
摘要
Abstract
Combining with the estimation of the batteries＇ capacity, this paper analyzed the method of radial basis function neural network and the principle of estimating the state of charge （SOC） of electric vehicles power batteries. In this work we estimated the state of charge （SOC） of electric vehicles power batteries by using radial basis function neural network based on a simplified model, and analyzed the experimental results. The results showed that we could estimate the real duration of the state of charge （SOC） by using the parameters of batteries＇ operating voltage, current and surface temperature in the model. We could greatly improve the accuracy of the SOC by using the radial basis function neural network关键词
径向基函数/神经网络/电池/SOCKey words
radial basis function/neural network/battery/SOC分类
信息技术与安全科学引用本文复制引用
米林,赵孟娜,秦甲磊,吴旋..基于径向基函数神经网络的电动汽车动力电池SOC模型[J].重庆理工大学学报：自然科学,2011,(10):1-5,5.基金项目
重庆市教委科学技术研究项目 （）
