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.
Review of adaptive systems for lithium batteries State-of-Charge and State-of-Health estimation
2012-06-01
146306 byte
Conference paper
Electronic Resource
English
STATE OF CHARGE ESTIMATION BASED ON STATE OF HEALTH CORRECTION FOR LITHIUM-ION BATTERIES
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