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Consumption Profiles in Route Planning for Electric Vehicles: Theory and Applications

Authors Moritz Baum, Jonas Sauer, Dorothea Wagner, Tobias Zündorf



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Moritz Baum
Jonas Sauer
Dorothea Wagner
Tobias Zündorf

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Moritz Baum, Jonas Sauer, Dorothea Wagner, and Tobias Zündorf. Consumption Profiles in Route Planning for Electric Vehicles: Theory and Applications. In 16th International Symposium on Experimental Algorithms (SEA 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 75, pp. 19:1-19:18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/LIPIcs.SEA.2017.19

Abstract

In route planning for electric vehicles (EVs), consumption profiles are a functional representation of optimal energy consumption between two locations, subject to initial state of charge. Efficient computation of profiles is a relevant problem on its own, but also a fundamental ingredient to many route planning approaches for EVs. In this work, we show that the complexity of a profile is at most linear in the graph size. Based on this insight, we derive a polynomial-time algorithm for the problem of finding an energy-optimal path between two locations that allows stops at charging stations. Exploiting efficient profile search, our approach also allows partial recharging at charging stations to save energy. In a sense, our results close the gap between efficient techniques for energy-optimal routes (based on simpler models) and NP-hard time-constrained problems involving charging stops for EVs. We propose a practical implementation, which we carefully integrate with Contraction Hierarchies and A* search. Even though the practical variant formally drops correctness, a comprehensive experimental study on a realistic, large-scale road network reveals that it always finds the optimal solution in our tests and computes even long-distance routes with charging stops in less than 300 ms.
Keywords
  • electric vehicles
  • charging station
  • shortest paths
  • route planning
  • profile search
  • algorithm engineering

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