基于电化学阻抗谱的锂离子电池健康状态估计
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史宏思, 孙新伟, 王凯
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State of Health Estimation for Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
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Hongsi SHI, Xinwei SUN, Kai WANG
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表2 各模型的SOH预测评价指标
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Tab. 2 SOH prediction evaluation indicators of each model
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| 模型 | 电池 | RMSE | MAE | R2 |
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| BiLSTM | 25C01 | 0.074 1 | 0.035 9 | 0.857 6 | | 25C02 | 0.092 9 | 0.081 1 | 0.776 9 | | 25C03 | 0.080 8 | 0.026 3 | 0.735 2 | | 25C04 | 0.080 5 | 0.040 1 | 0.718 1 | | 35C02 | 0.094 2 | 0.064 4 | 0.790 4 | | 45C02 | 0.182 1 | 0.151 4 | 0.512 9 | | CNN-BiLSTM | 25C01 | 0.022 8 | 0.015 7 | 0.957 3 | | 25C02 | 0.043 2 | 0.035 8 | 0.951 6 | | 25C03 | 0.021 5 | 0.015 1 | 0.967 0 | | 25C04 | 0.065 2 | 0.033 0 | 0.826 4 | | 35C02 | 0.056 0 | 0.040 9 | 0.925 7 | | 45C02 | 0.039 0 | 0.031 2 | 0.957 6 | | CNN-BiLSTM-Attention | 25C01 | 0.009 2 | 0.007 6 | 0.991 7 | | 25C02 | 0.036 7 | 0.028 8 | 0.965 1 | | 25C03 | 0.011 9 | 0.008 2 | 0.989 9 | | 25C04 | 0.027 7 | 0.018 7 | 0.969 5 | | 35C02 | 0.036 8 | 0.029 7 | 0.967 8 | | 45C02 | 0.011 1 | 0.008 6 | 0.998 1 |
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