基于健康特征参数的CNN-LSTM&GRU组合锂电池SOH估计

戴彦文, 于艾清

Combined CNN-LSTM and GRU based health feature parameters for lithium-ion batteries SOH estimation

Yanwen DAI, Aiqing YU

表3 四种方法的SOH估计误差

Table 3 SOH estimation error for the four methods

型号 预测起点 RUL CNN-LSTM&GRU CNN-LSTM LSTM GRU MAE RMSE MAE RMSE MAE RMSE MAE RMSE B5 80 31 0.0096 0.0152 0.0124 0.0273 0.0341 0.0957 0.0255 0.0755 B6 80 19 0.0332 0.0390 0.0418 0.0624 0.0502 0.0566 0.0752 0.1038 B7 80 66 0.0162 0.0212 0.0426 0.0468 0.0681 0.0850 0.0470 0.0569 B18 80 32 0.0260 0.0322 0.0387 0.0742 0.1038 0.1122 0.0753 0.0900