MRI
MRI India Journals Vol. 10 No. 1s (2026): Special Issue

AI-Battery Management Systems for Electric Vehicles Using Real-Time Sensor Data and Adaptive Charging Algorithms

Authors

  • Nikita Mulik Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India-411043
  • Shankar R. Madkar Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India-411043
  • Aparna Patil Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India-411043

Keywords:

Battery Management System Electric Vehicles Deep Learning Adaptive Charging Battery State of Health

Abstract

The Battery management System (BMS) is main motive is a to solve the unique complex problem of the electric vehicles that is EV battery management. The electric vehicles are a simple to integral challenges that is remain in battery longevity, safety of EV and energy efficiency. The algorithms of the system it is a combination of conventional manipulation processes with the system. This AI-based BMS main plane is to transform the electric-powered transportation by the demonstrating substantial improvements to battery performance, lifespan, and average vehicle efficiency.

 

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Published

2026-06-22

How to Cite

Mulik, N., Madkar, S. R., & Patil, A. (2026). AI-Battery Management Systems for Electric Vehicles Using Real-Time Sensor Data and Adaptive Charging Algorithms. International Journal of Advanced Scientific Research and Engineering Trends, 10(1s), 80–84. Retrieved from https://journals.mriindia.com/index.php/ijasret/article/view/3632

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