A Hybrid Model for Public Electric Vehicle Charging Infrastructure Planning
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Zhang, Dongmo
Du, Bo
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Hadfi, Rafik
Anthony, Patricia
Sharma, Alok
Ito, Takayuki
Bai, Quan
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Kyoto, Japan
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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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PRICAI 2024: Trends in Artificial Intelligence: 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18–24, 2024, Proceedings, Part V
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Wang, Q; Zhang, D; DU, B, A Hybrid Model for Public Electric Vehicle Charging Infrastructure Planning, PRICAI 2024: Trends in Artificial Intelligence: 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18–24, 2024, Proceedings, Part V, 2024, pp. 111-117