Abstract

Abstract: Worldwide, development on the batteries used in electric vehicles is making significant strides in solving the problems of carbon emissions and climate change issues. The efficiency of electric vehicles depends on accurate testing of key parameters and proper operation and functionality of battery management system. On the other hand, inadequate battery energy storage system monitoring and safety measures can lead to serious problems such as battery overheating, overcharging, cell unbalancing, thermal management, and fire threats. An efficient battery management system, which includes chargingdischarging control, precise monitoring, temperature management, battery safety, and protection, is essential for enhancing battery performance in order to alleviate these worries. This study aims to give a comprehensive analysis of different intelligent techniques and control strategies for the battery management system in electric vehicle applications. The evaluation evaluates battery state estimate intelligent algorithms in terms of their features, structure, configuration, accuracy, advantages, and disadvantages. The paper also examines the numerous controllers employed in battery warming, cooling, balancing, and protection emphasizing sections, traits, objectives, results, benefits, and limitations.

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