A Data-Driven Bias Correction Method Based Lithium-ion Battery Modeling Approach for Electric Vehicles Application

被引：0
|
作者：
Gong, Xianzhi [1 ]
Xiong, Rui [1 ,2 ]
Mi, Chunting Chris [1 ]
机构：
[1] Univ Michigan, DOE GATE Ctr Elect Drive Transportat, Dept Elect & Comp Engn, Dearborn, MI 48128 USA
[2] Beijing Inst Technol, Sch Mech Engn, Nat Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
来源：
2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) | 2014年
关键词：
INCREMENTAL CAPACITY ANALYSIS; STATE; CELLS; FADE;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to the inconsistency and varied characteristics of lithium-ion battery cells, the battery pack modeling remains a challenging problem. To model the operation behaviors of each cell in the battery pack, considerable work effort and computation time is needed. This paper proposes a data-driven bias correction based lithium-ion battery modeling method, which can significantly reduce the computation work and remain good model accuracy.
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页数：6
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