Shortest Feasible Paths with Charging Stops for Battery Electric Vehicles
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Abstract (arXiv)
We study the problem of minimizing overall trip time for battery electric vehicles in road networks. As battery capacity is limited, stops at charging stations may be inevitable. Careful route planning is crucial, since charging stations are scarce and recharging is time-consuming. We extend the Constrained Shortest Path problem for electric vehicles with realistic models of charging stops, including varying charging power and battery swapping stations. While the resulting problem is NP-hard, we propose a combination of algorithmic techniques to achieve good performance in practice. Extensive experimental evaluation shows that our approach (CHArge) enables computation of optimal solutions on realistic inputs, even of continental scale. Finally, we investigate heuristic variants of CHArge that derive high-quality routes in well below a second on sensible instances.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 22 Oct 2019.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1.
4 papers.
- 2023A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehiclescited by 0
- 2024Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamicscited by 0
- 2024Logic-Constrained Shortest Paths for Flight Planningcited by 0
- 2025A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehiclescited by 0
- 2025A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles1 Dec 2025
- 2024Logic-Constrained Shortest Paths for Flight Planning17 Dec 2024
- 2024Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics20 Nov 2024
- 2023A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles17 Jan 2023