TY - GEN
T1 - Charge Point Search Policies for EVs - Minimizing The Cruise for Juice
AU - Syed, Arslan Ali
AU - Fischer, Markus
AU - Hardt, Cornelius
AU - Bogenberger, Klaus
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85136784566&partnerID=8YFLogxK
U2 - 10.1109/ITSC55140.2022.9921802
DO - 10.1109/ITSC55140.2022.9921802
M3 - Conference contribution
AN - SCOPUS:85136784566
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2487
EP - 2493
BT - 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Y2 - 8 October 2022 through 12 October 2022
ER -