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Accurate Surface Temperature Estimation of...
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Accurate Surface Temperature Estimation of Lithium-Ion Batteries Using Feedforward and Recurrent Artificial Neural Networks

Abstract

Lithium-ion batteries are an essential component in electric vehicles. A robust battery management system (BMS) must be able to estimate the battery states including state of charge (SOC), state of health (SOH), and, ideally, battery temperature as well. The cells in the pack may experience significant temperature differences during operation, and this would typically be monitored by a multitude of temperature sensors. A surface temperature …

Authors

Naguib M; Kollmeyer P; Vidal C; Emadi A

Volume

00

Pagination

pp. 52-57

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

June 25, 2021

DOI

10.1109/itec51675.2021.9490043

Name of conference

2021 IEEE Transportation Electrification Conference & Expo (ITEC)