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Implementation of artificial intelligence techniques in electric vehicles for battery management system

Author

Listed:
  • K Sudhapriya
  • S Jaisiva

Abstract

The hybrid AI-based battery management system (HAI-BMS) is proposed to solve the complex problem of electric vehicle (EV) battery management. It combines conventional manipulation processes with system-gaining knowledge of neural networks and reinforcement learning algorithms. This simulation showcases the capability of AI-based BMS to transform electric-powered transportation by demonstrating substantial improvements to battery performance, lifespan, and average vehicle efficiency. By incorporating AI techniques into the BMSs of electric automobiles, the HAI-BMS is paving the manner for future transportation options that are sensible, bendy, and eco-friendly.

Suggested Citation

  • K Sudhapriya & S Jaisiva, 2025. "Implementation of artificial intelligence techniques in electric vehicles for battery management system," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 590-604.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:590-604.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf022
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