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

K Sudhapriya and S Jaisiva

International Journal of Low-Carbon Technologies, 2025, vol. 20, 590-604

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.

Keywords: artificial intelligence; techniques; electric vehicles; battery management system (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ijlct/ctaf022 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:590-604.

Access Statistics for this article

International Journal of Low-Carbon Technologies is currently edited by Saffa B. Riffat

More articles in International Journal of Low-Carbon Technologies from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().