基于注意力机制和多任务LSTM的锂电池容量预测方法*

鲁南, 欧阳权, 黄俍卉, 王志胜

Capacity Prediction of Lithium-ion Batteries Based on Multi-task LSTM with Attention Mechanism

LU Nan, OUYANG Quan, HUANG Lianghui, WANG Zhisheng

表3 多任务模式验证结果

预测间隔 模型 B0005 B0007 B0018 MAE MSE MAE MSE MAE MSE T+10 MT-LSTM 0.015 4 3.72×10-4 0.013 8 4.00×10-4 0.018 0 5.30×10-4 LSTM-CNN-LSTM 0.017 3 4.24×10-4 0.014 2 4.12×10-4 0.025 2 9.67×10-4 Deep LSTM 0.039 9 18.0×10-4 0.021 9 6.24×10-4 0.030 8 12.0×10-4 T+15 MT-LSTM 0.020 7 6.32×10-4 0.019 7 6.35×10-4 0.019 6 6.08×10-4 LSTM-CNN-LSTM 0.020 1 6.46×10-4 0.019 1 4.79×10-4 0.023 9 9.39×10-4 Deep LSTM 0.056 2 34.3×10-4 0.022 3 7.12×10-4 0.047 3 31.6×10-4