Optimization of electric vehicle system utilizing a hybrid particle swarm algorithm

Mikaela Ranta (Corresponding author), Mikko Pihlatie, Ari Hentunen

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific


A method for optimization of electric vehicle fleets is proposed. The method utilizes a hybrid particle swarm optimization algorithm with both continuous and binary variables. The battery capacity, battery chemistry, charging locations, charging power and number of chargers are obtained as an output of the optimization. A vehicle fleet simulation model is used to evaluate the cost of the system. The energy consumption for various routes and the costs for charging infrastructure, energy and purchase of vehicles are obtained as a result from the simulations. The battery ageing is evaluated based on the state-of-charge cycles. The method is demonstrated on two different cases of electric buses in the Helsinki region.
Original languageEnglish
Title of host publicationProceedings of TRA2020, the 8th Transport Research Arena
Subtitle of host publicationRethinking transport – towards clean and inclusive mobility
PublisherLiikenne- ja viestintävirasto Traficom
Number of pages1
ISBN (Electronic)978-952-311-484-5
Publication statusPublished - 2019
Event8th Transport Research Arena, TRA 2020 - Conference cancelled - Helsinki, Finland
Duration: 27 Apr 202030 Apr 2020

Publication series

SeriesTraficom Research Reports


Conference8th Transport Research Arena, TRA 2020 - Conference cancelled
Abbreviated titleTRA 2020
Internet address

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