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机译:基于模型的锂离子电池多个设计参数的同时优化,可最大程度地提高能量密度
Department of Energy, Environmental and Chemical Engineering, Washington University. St. Louis, MO 63130, USA;
Department of Energy, Environmental and Chemical Engineering, Washington University. St. Louis, MO 63130, USA;
Department of Energy, Environmental and Chemical Engineering, Washington University. St. Louis, MO 63130, USA;
Department of Energy, Environmental and Chemical Engineering, Washington University. St. Louis, MO 63130, USA;
lithium-ion batteries; model-based design; optimization; physics based reformulated model;
机译:实验设计与微遗传算法设计能量密度最大化锂离子电池的优化
机译:电池材料的系统优化:用于锂离子电池的均匀,高能量和高稳定性LiNi0.6mn0.2Co0.2O2阴极材料的可扩展合成的关键参数优化
机译:碳纳米管优化锂离子电池高能密度电极的导电添加剂
机译:基于模型的锂离子电池多个设计参数的同时优化,可最大程度地提高能量密度
机译:基于模型的 分级 电极设计 的 锂离子电池
机译:阴极孔隙度是优化锂硫电池能量密度的关键参数
机译:通过多种添加剂策略同时对高能密度锂离子袋细胞大面积阳极和阴极的相互作用