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Customer Satisfaction at Large Charging Parks : Expectation-Disconfirmation Theory for Fast Charging

Title data

Bollenbach, Jessica ; Halbrügge, Stephanie ; Wederhake, Lars ; Weibelzahl, Martin ; Wolf, Linda:
Customer Satisfaction at Large Charging Parks : Expectation-Disconfirmation Theory for Fast Charging.
In: Applied Energy. Vol. 365 (2024) . - 122735.
ISSN 1872-9118
DOI: https://doi.org/10.1016/j.apenergy.2024.122735

Official URL: Volltext

Abstract in another language

Drivers of battery electric vehicles, especially along motorways, require fast-charging services and expect maximum charging power to overcome long servicing times. However, charging park operators cannot always meet customer expectations due to economic and technical restrictions. According to the expectation-disconfirmation theory, the resulting expectation-performance gap increases the dissatisfaction of vehicle drivers regarding the servicing time in a non-linear manner. Therefore, we present an optimization model with a utilitarian welfare function grounded in social choice theory. Besides a current real-world case based on a fast-charging park in Germany, we analyze further (technical) developments of electric mobility with four future cases. Compared to a uniform power allocation, our results display a reduced absolute average gap of up to 4 min (i.e., 13.3%) between expected and actual servicing time in the real-world case, thus, improving welfare by 22.9%. With an increased average gap reduction of up to 5.2 min, our future cases show the importance of addressing the expectations of battery electric vehicle drivers. Without a smart power allocation, the gap and simultaneously the dissatisfaction of vehicle drivers regarding the servicing time can increase, and potentially more hardware upgrades may be necessary.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Electric mobility; Smart charging; Fast charging; Utilitarian welfare; Customer satisfaction; Expectation-performance gap
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management > Professor Information Systems and Digital Energy Management - Univ.-Prof. Dr. Jens Strüker
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 28 Aug 2024 05:43
Last Modified: 31 Oct 2024 12:10
URI: https://eref.uni-bayreuth.de/id/eprint/90274