Title:Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Title : Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications
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Affiliation of Author(s):控制科学与工程学院
Title of Paper:Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications
Journal:IEEE Transactions on Vehicular Technology
Key Words:Adaptive extended Kalman filter (AEKF);electric vehicles (EVs);Lithium-ion batteries;state-of-charge (SoC);split battery model (SBM)
First Author:Yang, Jufeng
Document Code:1395248189350612993
Volume:66
Issue:12
Page Number:10889-10898
Translation or Not:no
Date of Publication:2017-12-01
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