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.
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Sudhapriya, K., & Jaisiva, S. (2025). Implementation of artificial intelligence techniques in electric vehicles for battery management system. International Journal of Low-Carbon Technologies, 20, 590–604. https://doi.org/10.1093/ijlct/ctaf022
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