The available capacity computation model based on artificial neural network for lead-acid batteries in electric vehicles

被引：134

作者：

Chan, CC ^{[1
]}

Lo, EWC ^{[1
]}

Shen, WX ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

JOURNAL OF POWER SOURCES | 2000年 / 87卷 / 1-2期

关键词：

artificial neural network; battery model; available capacity; lead-acid batteries; electric vehicles;

D O I：

10.1016/S0378-7753(99)00502-9

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 [物理化学]; 081704 [应用化学];

摘要：

The available capacity computation model based on the artificial neural network (ANN) for lead-acid batteries in an electric vehicle (EV) is presented. Comparing with the methods based on the Peukert equation, which is often used for the calculation of the available capacity for lead-acid batteries in EVs, this model is more accurate. The results of the experiment have proven the accuracy of the proposed model; the computation values are in good agreement with experimental data, the associated error has been considered acceptable from an engineering point of view. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：201 / 204

页数：4