Abstract
This article presents the overall review analysis of intelligent monitoring of electric vehicle using different soft computing techniques. It begins with the modeling of electric vehicle. Thereafter, different soft computing techniques were proposed to get the best results for the performance of EV, and it is observed that machine learning of charging gives the best results as compared to other techniques for the charging and discharging of battery in terms of less time with proper quality.
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Saxena, A., Kumar, R., Singh, J., Kumari, S., Verma, M., Kumari, P. (2023). A Soft Computing Intelligent Technique Implication for the Comprehensive Audit of Electric Vehicle. In: Agrawal, R., Mitra, P., Pal, A., Sharma Gaur, M. (eds) International Conference on IoT, Intelligent Computing and Security. Lecture Notes in Electrical Engineering, vol 982. Springer, Singapore. https://doi.org/10.1007/978-981-19-8136-4_15
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DOI: https://doi.org/10.1007/978-981-19-8136-4_15
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