Abstract
Electric mobility has gained much interest in the automotive industry and among commercial customers. A well-developed charging infrastructure is a fundamental requirement to meet the rising demand for electricity. The aim of this contribution is to demonstrate how optimization can be used for the extension of public charging infrastructure for electric vehicles (EVs). The suitability of conversion from combustion engines to EVs for commercial customers is evaluated for different scenarios. The impact of an expanded charging infrastructure is measured by a multi-objective genetic algorithm. The location and type of charging stations is optimized with respect to the number of failed trips, due to empty batteries, and the total cost of infrastructure. Assuming that the usage of commercial vehicles ist unaltered when switching to EVs, travel data from commercial vehicles with combustion engines may serve as a starting point for the optimization of the charging infrastructure. The resulting pareto front may support decision makers in placing optimal public charging stations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
