| 基于回跳电压的锂离子电池SOC模型的建立与应用 |
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| 引用本文： | 史建平,李蓓,刘明芳.基于回跳电压的锂离子电池SOC模型的建立与应用[J].电子器件,2018,41(6). |
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| 作者姓名： | 史建平 李蓓 刘明芳 |
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| 作者单位： | 常州工学院 |
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| 基金项目： | 智能物流交叉分拣机关键技术及产品研发 |
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| 摘 要： | 通过对高低温下锂离子电池进行充放电实验，对得到的回跳电压等实验数据进行分析，建立了自适应神经模糊推理系统（ANFIS）的锂离子电池剩余容量预测模型，其中以回跳电压和温度为预测系统的输入，剩余容量为输出。在MATLAB平台上，通过用大量的实验数据对ANFIS模型进行训练、校验，将此模型用于不同电池组的剩余容量预测和验证，证明了该模型的可靠性和适用性。
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| 关 键 词： | 锂离子电池 回跳电压 SOC ANFIS |
The Establishment and Application of lithium ion battery SOC Model based on Recovery Voltage |
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| Abstract: | Based on the charge and discharge experiment of lithium ion battery at different temperature, the recovery voltage and other ex perimental data were analyzed to establish the adaptive neuro fuzzy inference system (ANFIS) prediction SOC model of the lithium ion battery. The recovery voltage and temperature is the input of prediction system, and SOC is the output. The ANFIS model is trained by a large number of experimental data in the MATLAB. The model is used to predict and validate the different SOC of battery, proved the reliability and applicability of this model. |
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| Keywords: | lithium ion battery recovery voltage SOC ANFIS |
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