Conference
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)