基于TWP-SVR的锂离子电池健康状态估计
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韦荣阳, 毛阗, 高晗, 彭建仁, 杨健
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Health state estimation of lithium ion battery based on TWP-SVR
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Rongyang WEI, Tian MAO, Han GAO, Jianren PENG, Jian YANG
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表 2 间接健康特征和衰减容量的相关系数
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Table 2 Correlation coefficient between indirect health characteristics and attenuation capacity
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电池 | 相关系数 | 间接健康特征 |
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F1 | F2 | F3 | F4 |
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5 | Pearson | 0.9949 | 0.9978 | 0.9926 | 0.9949 | Spearman | 0.9725 | 0.9926 | 0.9701 | 0.9826 | Kendall | 0.9013 | 0.9520 | 0.8959 | 0.9359 | 6 | Pearson | 0.9933 | 0.9988 | 0.9948 | 0.9942 | Spearman | 0.9989 | 0.9990 | 0.9985 | 0.9993 | Kendall | 0.9805 | 0.9825 | 0.9773 | 0.9859 | 7 | Pearson | 0.9891 | 0.9969 | 0.9874 | 0.9872 | Spearman | 0.9642 | 0.9897 | 0.9637 | 0.9767 | Kendall | 0.8811 | 0.9397 | 0.8786 | 0.9179 | 18 | Pearson | 0.9895 | 0.9972 | 9.8550 | 0.9908 | Spearman | 0.9951 | 0.9952 | 0.9938 | 0.9971 | Kendall | 0.9537 | 0.9576 | 0.9490 | 0.9686 |
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