Advancing battery state of charge estimation in electric vehicles through deep learning: A comprehensive study using real-world driving data
Accurately estimating the State of Charge (SOC) in Electric Vehicles (EVs) is critical for battery management and operational efficiency. This paper presents a Deep Learning (DL) approach to address this challenge, utilizing Feed-Forward Neural Networks (FFNN) to estimate SOC in real-world EV scenar...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42347/1/Advancing%20battery%20state%20of%20charge%20estimation%20in%20electric%20vehicles.pdf http://umpir.ump.edu.my/id/eprint/42347/ https://doi.org/10.1016/j.cles.2024.100131 https://doi.org/10.1016/j.cles.2024.100131 |
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