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

K Sudhapriya 1
S. Jaisiva 2
1
 
Department of Mechatronics Engineering, Nehru Institute of Engineering and Technology , Coimbatore, Tamil Nadu 641105 ,
2
 
Department of Electrical and Electronics Engineering, Sri Krishna College of Technology , Kovaipudur, Coimbatore, Tamil Nadu 641042 ,
Тип публикацииJournal Article
Дата публикации2025-02-23
scimago Q1
wos Q2
БС1
SJR0.477
CiteScore4.3
Impact factor2.3
ISSN17481317, 17481325
Краткое описание

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. Implementation of artificial intelligence techniques in electric vehicles for battery management system // International Journal of Low-Carbon Technologies. 2025. Vol. 20. pp. 590-604.
ГОСТ со всеми авторами (до 50) Скопировать
Sudhapriya K., Jaisiva S. Implementation of artificial intelligence techniques in electric vehicles for battery management system // International Journal of Low-Carbon Technologies. 2025. Vol. 20. pp. 590-604.
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TY - JOUR
DO - 10.1093/ijlct/ctaf022
UR - https://academic.oup.com/ijlct/article/doi/10.1093/ijlct/ctaf022/8030628
TI - Implementation of artificial intelligence techniques in electric vehicles for battery management system
T2 - International Journal of Low-Carbon Technologies
AU - Sudhapriya, K
AU - Jaisiva, S.
PY - 2025
DA - 2025/02/23
PB - Oxford University Press
SP - 590-604
VL - 20
SN - 1748-1317
SN - 1748-1325
ER -
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@article{2025_Sudhapriya,
author = {K Sudhapriya and S. Jaisiva},
title = {Implementation of artificial intelligence techniques in electric vehicles for battery management system},
journal = {International Journal of Low-Carbon Technologies},
year = {2025},
volume = {20},
publisher = {Oxford University Press},
month = {feb},
url = {https://academic.oup.com/ijlct/article/doi/10.1093/ijlct/ctaf022/8030628},
pages = {590--604},
doi = {10.1093/ijlct/ctaf022}
}