基于改进最小二乘支持向量机的锂离子电池健康状态快速估计方法*
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徐彬翔, 郑林锋, 黄乙恒, 肖志能, 王新月
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Fast Estimating the State of Health of Lithium-ion Batteries Based on Improved Least Squares Support Vector Machine
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XU Binxiang, ZHENG Linfeng, HUANG Yiheng, XIAO Zhineng, WANG Xinyue
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表1 斯坦福-MIT数据集部分电压数据
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| 电池 | 实际容量
/(A·h) | 电压1/V | 电压2/V | 电压3/V | 电压4/V | | Cell1 | 1.089 8 | 3.500 | 3.504 | 3.507 | 3.512 | | Cell1 | 0.981 7 | 3.500 | 3.508 | 3.516 | 3.523 | | Cell1 | 0.869 0 | 3.500 | 3.521 | 3.538 | 3.551 | | Cell2 | 1.054 4 | 3.500 | 3.505 | 3.510 | 3.515 | | Cell2 | 1.016 7 | 3.500 | 3.506 | 3.512 | 3.517 | | Cell2 | 0.845 0 | 3.500 | 3.529 | 3.548 | 3.561 | | Cell3 | 1.074 2 | 3.500 | 3.505 | 3.509 | 3.513 | | Cell3 | 0.957 9 | 3.500 | 3.514 | 3.524 | 3.532 | | Cell3 | 0.890 3 | 3.500 | 3.521 | 3.535 | 3.547 |
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