State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models
Accurate estimation of the state of charge (SoC) of lithium-ion batteries (LIBs) in electric vehicles (EVs) is crucial for optimizing performance, ensuring safety, and extending battery life. However, traditional estimation methods often struggle with the nonlinear and dynamic behavior of battery sy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2025
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44975/ http://umpir.ump.edu.my/id/eprint/44975/1/1-s2.0-S2772683525000068-main.pdf |