Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations
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Abstract (arXiv)
This paper introduces a novel model for online dynamic pricing of electric vehicle charging services that integrates reservation, parking, and charging into a comprehensive bundle priced as a whole. Our approach focuses on the individual high-demand, fast-charging location, employing a Poisson process as a model of charging reservation arrivals, and develops an online dynamic pricing strategy optimized through a Markov Decision Process (MDP). A key contribution is the novel analysis of discretization error introduced when incorporating the continuous-time Poisson process into the discrete MDP framework. The MDP model's feasibility is demonstrated with a heuristic dynamic pricing method based on Monte-Carlo tree search, offering a viable path for real-world applications.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 47 references that are in the map. First posted on arXiv 7 Oct 2024.
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References · 3
- 2019Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Schedulingcited by 1
- 2019A Price-Based Iterative Double Auction for Charger Sharing Marketscited by 1
- 2022Joint Routing and Charging Problem of Electric Vehicles with Incentive-aware Customers Considering Spatio-temporal Charging Pricescited by 1
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