# Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations

arXiv: https://arxiv.org/abs/2410.05538 · HTML: https://mlsanity.com/paper/2410.05538/

## 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.

## Builds on (most cited first, 3 of 3)

- [Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling](https://mlsanity.com/paper/1907.08828/) (2019)
- [A Price-Based Iterative Double Auction for Charger Sharing Markets](https://mlsanity.com/paper/1910.00053/) (2019)
- [Joint Routing and Charging Problem of Electric Vehicles with Incentive-aware Customers Considering Spatio-temporal Charging Prices](https://mlsanity.com/paper/2201.02311/) (2022)

## 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.