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Charge Point Search Policies for EVs - Minimizing The Cruise for Juice

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The increased adoption rate of electric vehicles (EVs) into the market requires adequate charging infrastructure (CI). Many cities are still improving the CI to cope with the increased charging demands. Many studies in recent years have focused on how CI could be efficiently installed and used by EVs. However, with the availability of hundreds of charging points (CPs) in certain cities, like Munich, the research focus may shift towards the effectiveness of already installed CI for the end-user, for example, in terms of additional driven and walking distances. To this end, the study evaluates and quantifies the benefits of different strategies for locating available CPs. It examines three variants: the manual search method where the driver manually searches for free CPs, an informed search method where the driver uses an application to find free CPs, and a reservation system where the user can also reserve free CPs. This paper studies the benefits of each of these strategies in an agent-based simulation in the city of Munich using current CI. The results show that the informed charging and reservation-based strategies can significantly reduce the additional driving distance and increase the overall utilization of the CI.

Original languageEnglish
Title of host publication2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2487-2493
Number of pages7
ISBN (Electronic)9781665468800
DOIs
StatePublished - 2022
Event25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China
Duration: 8 Oct 202212 Oct 2022

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2022-October

Conference

Conference25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Country/TerritoryChina
CityMacau
Period8/10/2212/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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