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Battery state of charge estimation for electric vehicle using Kolmogorov-Arnold networks

Accurate estimation of the state of charge (SoC) in electric vehicle (EV) batteries is essential for effective battery management and optimal performance. This study investigates the application of Kolmogorov-Arnold Networks (KAN) for SoC estimation, comparing its performance against Artificial Neur...

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Bibliographic Details
Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Amir Izzani, Mohamed, Ahmad Salihin, Samsudin, Muhammad Ikram, Mohd Rashid
Format: Article
Language:English
English
Published: Elsevier 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42915/1/Battery%20state%20of%20charge%20estimation%20for%20electric%20vehicle_ABST.pdf
http://umpir.ump.edu.my/id/eprint/42915/2/Battery%20state%20of%20charge%20estimation%20for%20electric%20vehicle%20using%20Kolmogorov-Arnold%20networks.pdf
http://umpir.ump.edu.my/id/eprint/42915/
https://doi.org/10.1016/j.energy.2024.133417
https://doi.org/10.1016/j.energy.2024.133417
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http://umpir.ump.edu.my/id/eprint/42915/1/Battery%20state%20of%20charge%20estimation%20for%20electric%20vehicle_ABST.pdf
http://umpir.ump.edu.my/id/eprint/42915/2/Battery%20state%20of%20charge%20estimation%20for%20electric%20vehicle%20using%20Kolmogorov-Arnold%20networks.pdf
http://umpir.ump.edu.my/id/eprint/42915/
https://doi.org/10.1016/j.energy.2024.133417
https://doi.org/10.1016/j.energy.2024.133417

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