Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications

发布时间:2023-05-31|点击次数:

所属单位:控制科学与工程学院

论文名称:Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications

发表刊物:IEEE Transactions on Vehicular Technology

关键字:Adaptive extended Kalman filter (AEKF);electric vehicles (EVs);Lithium-ion batteries;state-of-charge (SoC);split battery model (SBM)

第一作者:Yang, Jufeng

论文编号:1395248189350612993

卷号:66

期号:12

页面范围:10889-10898

是否译文:否

发表时间:2017-12-01