| 基于BP神经网络的锂电池剩余寿命预测 |
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| 引用本文： | 王钟毅,姬晓,左思.基于BP神经网络的锂电池剩余寿命预测[J].汽车实用技术,2021,46(1). |
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| 作者姓名： | 王钟毅 姬晓 左思 |
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| 作者单位： | 长安大学汽车学院,陕西 西安 710000;辽宁工业大学汽车与交通工程学院,辽宁 锦州 121000 |
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| 摘 要： | 准确的电池状态估算与剩余使用寿命预测能让用户及时获取电池信息并更新失效电池,保障整个电池组的安全高效运行。文章为精确地预测锂离子电池剩余寿命,引入了BP神经网络算法,并利用NASA电池循环寿命实验数据进行验证。
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| 关 键 词： | 神经网络 锂电池 寿命预测 |
Prediction of Residual Life of Lithium Battery Based on BP Neural Network |
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| Authors: | Wang Zhongyi Ji Xiao Zuo Si |
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| Institution: | (School of Automobile,Changan University,Shaanxi Xi'an 710000;School of Automotive and Traffic Engineering,Liaoning University of Technology,Liaoning Jinzhou 121000) |
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| Abstract: | Accurate estimation of battery status and prediction of residual service life can enable users to obtain battery information and update the failed battery in time,so as to ensure the safe and efficient operation of the whole battery pack.to accurately predict the residual life of li-ion batteries,a bp neural network algorithm is introduced and verified using experimental data of nasa battery cycle life. |
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| Keywords: | Neural network Lithium battery Life prediction |
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