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Review of adaptive systems for lithium batteries State-of-Charge and State-of-Health estimation

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3 Author(s)
Watrin, N. ; Syst. & Transp. Lab. (SeT), Univ. of Technol. of Belfort-Montbeliard, Belfort-Montbeliard, France ; Blunier, B. ; Miraoui, A.

High energy battery systems have recently appeared as an alternative Internal-Conbustion-Engine (ICE) based vehicle's powertrains. As a conquence, over the last few years, automotive manufacturers focused their research on electrochemical storage for electric (EV) and hybrid electric vehicles (HEV). In a lot of hybrid or electric applications, Lithium based batteries are used. To protect Lithium batteries and optimize their utilisation, a good State-of-Charge determiation is necessary. So three adaptive system used in the literature are presented in this article, the Kalman Filter, the Artificial Neural Network and the Fuzzy Logic systems.

Published in:

Transportation Electrification Conference and Expo (ITEC), 2012 IEEE

Date of Conference:

18-20 June 2012