机译:使用深度神经网络的锂离子电池充电状态估计:一种机器学习方法
Department of Electrical and Computer Engineering, McMaster Institute for Automotive Research and Technology, McMaster University;
Department of Electrical and Computer Engineering, McMaster Institute for Automotive Research and Technology, McMaster University;
Department of Electrical Engineering, Columbia University in the City of New York;
Department of Electrical and Computer Engineering, McMaster Institute for Automotive Research and Technology, McMaster University;
Battery management systems; Deep neural networks; Energy storage system; Li-ion batteries; Machine learning; State of charge estimation;
机译:电动汽车中锂离子电池的最终电荷估算:深度神经网络方法
机译:电动车中LiFepo_4电池的充电状态估算:一种深度学习的方法
机译:使用深度学习模型和自适应学习速率的深度学习模型和算法的Panasonic 18650PF锂离子电池的充电状态
机译:具有转移学习的自适应深度神经网络,用于电池单元的荷电状态估计
机译:基于改进的戴维南电路模型的神经网络锂离子电池充电状态估计
机译:机器学习:深度学习光谱学:分子激发光谱的神经网络(Adv。Sci.9 / 2019)
机译:锂离子电池的充电状态估计:一种更准确的混合方法