| 基于人工神经网络的电池容量预测 |
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| 引用本文： | 刘倩. 基于人工神经网络的电池容量预测[J]. 武汉理工大学学报(信息与管理工程版), 2006, 28(3): 28-31 |
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| 作者姓名： | 刘倩 |
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| 作者单位： | 华中农业大学,工程技术学院,湖北,武汉,430070 |
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| 摘 要： | 为有效地对电动车蓄电池的剩余容量SOC进行预测,引入了人工神经网络BP改进算法的Levenberg-M arquardt(LM)算法;建立了基于镍氢电池的神经网络模型;实现了对镍氢电池充放电过程中任一状态下的剩余容量的预测。结果表明,通过该网络模型可以方便快速的得到电池的SOC值,所得结果满足要求,为电池管理系统提供了一种新的电池SOC的预测方法。
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| 关 键 词： | 电池容量 神经网络 预测方法 |
| 文章编号： | 1007-144X（2006）03-0028-04 |
| 收稿时间： | 2005-09-20 |
| 修稿时间： | 2005-09-20 |
Estimating SOC of MH/Ni Batteries Based on Artificial Neural Network |
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| Liu Qian. Estimating SOC of MH/Ni Batteries Based on Artificial Neural Network[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2006, 28(3): 28-31 |
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| Authors: | Liu Qian |
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| Abstract: | In order to estimate SOC effectively,the traditional ways of estimating SOC are analyzed and a neural network model of MH/Ni batteries on LM network is built up based on the principle of the charge and discharge of the MH/Ni batteries.The artificial neural network(ANN) method,which can be used to approach non-linear function with many input/output parameters,is originally used to estimate the discharge capacity of MH/Ni batteries when changing the discharge current and voltage.The satisfactory result has been obtained from comparison of simulation results. |
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| Keywords: | SOC ANN estimation method |
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