| 电动车用电池动态性能分析及剩余容量预测 |
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| 引用本文： | 周红丽,何莉萍,钟志华,高学锋.电动车用电池动态性能分析及剩余容量预测[J].计算机仿真,2008,25(1):274-277. |
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| 作者姓名： | 周红丽 何莉萍 钟志华 高学锋 |
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| 作者单位： | 1. 湖南大学汽车车身先进设计制造国家重点实验室,湖南,长沙410082
2. 深圳市力可兴电池有限公司,广东,深圳518040 |
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| 基金项目： | "211"电动汽车研发项目子项目 |
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| 摘 要： | 电动车用动力电池剩余容量(SOC)的精确的实时辨识,是电池管理系统的一个关键技术.为有效的对电池剩余容量进行预测,文中对湖南大学开发的纯电动汽车(EV-3)所使用的镍氢动力电池组作充放电性能测验,给出了电流、电压、容量曲线,实验证明镍氢电池是现阶段较适合用于电动汽车的动力电池.并在此实验基础上,利用开环电压与剩余容量的对应关系,运用广义回归神经网络(GRNN)建立蓄电池的电压降模型,并进一步建立反向传播网络(BP网络)得到了开路电压与剩余容量的对应关系,网络预测结果和实验数据误差较小.实验和仿真结果证明人工神经网络可以建立一个精确而有效的SOC智能预测系统.
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| 关 键 词： | 电动汽车 剩余容量 开路电压 神经网络 |
| 文章编号： | 1006-9348（2008）01-0274-04 |
| 收稿时间： | 2006-08-14 |
| 修稿时间： | 2007-06-07 |
Dynamic Performance Analysis and SOC Predication of Battery for Electric Vehicle |
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| ZHOU Hong-li,HE Li-ping,ZHONG Zhi-hua,GAO Xue-feng.Dynamic Performance Analysis and SOC Predication of Battery for Electric Vehicle[J].Computer Simulation,2008,25(1):274-277. |
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| Authors: | ZHOU Hong-li HE Li-ping ZHONG Zhi-hua GAO Xue-feng |
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| Affiliation: | ZHOU Hong-li HE Li-ping ZHONG Zhi-hua State key Laboratory of Advanced Design , Manufacture for Vehicle Body,Hunan University,Changsha Hunan 410082,China GAO Xue-feng Lexel Battery Shenzhen CO.LTD,Shenzhen Guangdong 518040,China |
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| Abstract: | Real-time prediction of power batteries'residual capacity accurately is one of the key technologies of battery management system(BMS).In order to predict the residual capacity of battery accurately,charge and dis- charge performance analysis of MH-Ni battery for EV-3 developed by Hunan University has been made,and cur- rent,voltage,capacity characteristic curves have also been presented.The experiments show that the MH-Ni battery is suitable for EV.Based on the experiment data and the theory that the open c... |
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| Keywords: | Electric vehicle Residual capacity Open circuit voltage Neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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