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
    ISBN (Print)978-952-311-484-5
    Publication statusPublished - 29 Apr 2020
    MoE publication typeNot Eligible
    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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