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