International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed & Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: Lithium-ion batteries have proven to be interesting for electric vehicle manufacturers due to their high charge density and light weight. These batteries are packed with a lot of punch for their size, but they are inherently very unstable. It is very important that these batteries are not overcharged or under discharged in situations where voltage and current need to be monitored. This process is a bit more difficult as many cells are assembled into the battery pack of an electric vehicle and each cell needs to be monitored individually for safe and efficient operation. It requires a special system called a battery management system. To get the most out of the battery pack, all cells should be fully charged and discharged at the same voltage at the same time. This requires BMS. Apart from that, BMS is blamed on many other features described below..

Keywords: Machine Learning, Battery Management, Monitoring, Safety.

PDF | DOI: 10.17148/IJIREEICE.2022.10421

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