Abstract
With the rapid growth of electric vehicles (EVs), the shortage and uneven distribution of charging infrastructure have become major issues. This paper proposes a method for public charging infrastructure planning based on a hybrid EV charging model. It estimates EV flow between locations with a gravity model, applies a congestion game model to determine demand distribution across charging stations, and then optimizes charger deployment at each location. The method is demonstrated through a case study in the Sydney metropolitan area.
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Notes
- 1.
\(\mathcal {V}_{od} \bigcap \mathcal {V}_{od_{x}} = \emptyset \), for any \(od, od_{x} \in K\), \(od \ne od_{x} \).
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Wang, Q., Zhang, D., Du, B. (2025). A Hybrid Model for Public Electric Vehicle Charging Infrastructure Planning. In: Hadfi, R., Anthony, P., Sharma, A., Ito, T., Bai, Q. (eds) PRICAI 2024: Trends in Artificial Intelligence. PRICAI 2024. Lecture Notes in Computer Science(), vol 15285. Springer, Singapore. https://doi.org/10.1007/978-981-96-0128-8_10
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DOI: https://doi.org/10.1007/978-981-96-0128-8_10
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