research-article

Shortest feasible paths with charging stops for battery electric vehicles

Authors:

Julian Dibbelt,

Dorothea Wagner,

Tobias ZündorfAuthors Info & Claims

SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 44, Pages 1 - 10

https://doi.org/10.1145/2820783.2820826

Published: 03 November 2015 Publication History

Abstract

We study the problem of minimizing overall trip time for battery electric vehicles (EVs) 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 (CSP) problem for EVs 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.

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Cited By

Champagne Gareau JLavoie MGosset GBeaudry ÉDastani MSichman JAlechina NDignum V(2024)Cooperative Electric Vehicles PlanningProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662877(290-298)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3662877
Widmann JBriegel BHofmann DSawodny O(2024)Charging Strategy Optimization for Battery Electric Vehicles Based on Dynamic Programming2024 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII58957.2024.10417560(986-991)Online publication date: 8-Jan-2024
https://doi.org/10.1109/SII58957.2024.10417560
Tu WMai KZhang YXu YHuang JDeng MChen LLi Q(2021)Real-Time Route Recommendations for E-Taxies Leveraging GPS TrajectoriesIEEE Transactions on Industrial Informatics10.1109/TII.2020.299020617:5(3133-3142)Online publication date: May-2021
https://doi.org/10.1109/TII.2020.2990206
Show More Cited By

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Shortest feasible paths with charging stops for battery electric vehicles

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cover image ACM Conferences

SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2015

646 pages

ISBN:9781450339674

DOI:10.1145/2820783

General Chairs:
Mohamed Ali
University of Washington, Tacoma
,
Yan Huang
University of North Texas
,
Program Chairs:
Michael Gertz
Heidelberg University, Germany
,
Matthias Renz
LMU Munich, Germany
,
Jagan Sankaranarayanan
NEC Labs

Copyright © 2015 ACM.

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New York, NY, United States

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Published: 03 November 2015

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European Commission

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SIGSPATIAL'15

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SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 3 - 6, 2015

Washington, Seattle

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SIGSPATIAL '15 Paper Acceptance Rate 38 of 212 submissions, 18%;

Overall Acceptance Rate 220 of 1,116 submissions, 20%

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Cited By

Champagne Gareau JLavoie MGosset GBeaudry ÉDastani MSichman JAlechina NDignum V(2024)Cooperative Electric Vehicles PlanningProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662877(290-298)Online publication date: 6-May-2024
https://dl.acm.org/doi/10.5555/3635637.3662877
Widmann JBriegel BHofmann DSawodny O(2024)Charging Strategy Optimization for Battery Electric Vehicles Based on Dynamic Programming2024 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII58957.2024.10417560(986-991)Online publication date: 8-Jan-2024
https://doi.org/10.1109/SII58957.2024.10417560
Tu WMai KZhang YXu YHuang JDeng MChen LLi Q(2021)Real-Time Route Recommendations for E-Taxies Leveraging GPS TrajectoriesIEEE Transactions on Industrial Informatics10.1109/TII.2020.299020617:5(3133-3142)Online publication date: May-2021
https://doi.org/10.1109/TII.2020.2990206
Tian SDu XLiang YYang XYin JJi MChen YGong T(2021)Multi-Objective Optimized Charging Strategy for Electric Vehicles Based on Demand Response2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)10.1109/EI252483.2021.9713319(2064-2069)Online publication date: 22-Oct-2021
https://doi.org/10.1109/EI252483.2021.9713319
Cai JChen DJiang SPan W(2020)Dynamic-Area-Based Shortest-Path Algorithm for Intelligent Charging Guidance of Electric VehiclesSustainability10.3390/su1218734312:18(7343)Online publication date: 8-Sep-2020
https://doi.org/10.3390/su12187343
Rizopoulos DEsztergár-Kiss D(2020)A Method for the Optimization of Daily Activity Chains Including Electric VehiclesEnergies10.3390/en1304090613:4(906)Online publication date: 18-Feb-2020
https://doi.org/10.3390/en13040906
Boewing FSchiffer MSalazar MPavone M(2020)A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems2020 American Control Conference (ACC)10.23919/ACC45564.2020.9147734(248-255)Online publication date: Jul-2020
https://doi.org/10.23919/ACC45564.2020.9147734
Baum MDibbelt JWagner DZündorf T(2020)Modeling and Engineering Constrained Shortest Path Algorithms for Battery Electric VehiclesTransportation Science10.1287/trsc.2020.098154:6(1571-1600)Online publication date: 1-Nov-2020
https://dl.acm.org/doi/10.1287/trsc.2020.0981
Deschenes AGaudreault JVignault LBernard FQuimper C(2020)The Fixed Route Electric Vehicle Charging Problem with nonlinear energy management and variable vehicle speed2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283062(1451-1458)Online publication date: 11-Oct-2020
https://doi.org/10.1109/SMC42975.2020.9283062
Morlock FMammel CEngelhardt TSawodny O(2020)Trip Planning for Electric Vehicles Considering the Available Charging Infrastructure2020 IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT45562.2020.9067111(723-728)Online publication date: Feb-2020
https://doi.org/10.1109/ICIT45562.2020.9067111
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