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Journal article

Application of Deep Neural Networks for Lithium-Ion Battery Surface Temperature Estimation Under Driving and Fast Charge Conditions

Abstract

The temperature of lithium-ion batteries (LIBs) is a critical factor that significantly impacts the performance of the battery. One of the essential roles of the battery management system (BMS) is to monitor and control the temperature of the cells in the battery pack. In this article, two deep neural network (DNN) modeling approaches are used to predict the surface temperature of LIBs. The first model type is based on a feedforward neural …

Authors

Naguib M; Kollmeyer P; Emadi A

Journal

IEEE Transactions on Transportation Electrification, Vol. 9, No. 1, pp. 1153–1165

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

March 1, 2023

DOI

10.1109/tte.2022.3200225

ISSN

2577-4212

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