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A Data-Driven Bias-Correction-Method-Based Lithium-Ion Battery Modeling Approach for Electric Vehicle Applications

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PROJECT TITLE :

A Data-Driven Bias-Correction-Method-Based Lithium-Ion Battery Modeling Approach for Electric Vehicle Applications

ABSTRACT:

Due to the inconsistent and varied characteristics of lithium-ion battery (LiB) cells, battery pack modeling remains a difficult problem. To model the operation of every cell in the battery pack, considerable work effort and computation time are needed. This paper proposes a data-driven bias-correction-primarily based LiB modeling technique, that will significantly reduce the computation work and remain good model accuracy.


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A Data-Driven Bias-Correction-Method-Based Lithium-Ion Battery Modeling Approach for Electric Vehicle Applications - 4.6 out of 5 based on 16 votes

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