Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning
Abstract Smart transportation is an important application scenario in the field of urban computing. As the popularity of electric vehicles increases, the demand for fast charging is growing rapidly. In response to this, battery swapping stations are being proposed as a solution, but their operationa...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-02-01
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Series: | Computational Urban Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s43762-025-00166-0 |
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