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利用多通道双向长短期记忆网络(Bi-directional Long Short-Term Memory, LSTM ...
电池SOC与SOE联合估计模型研究。提出MLIT框架,通过多通道双向LSTM独立提取特征,逆Transformer建模变量间关联,双解码器分别预测SOC和SOE。实验表明MLIT预测精度更高且误差更小。 锂离子电池作为现代电动汽车的核心部件,其性能直接影响到车辆的续航能力与运行 ...
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