Energy-efficient EV Charging Station Placement for E-Mobility

Mohammad Aljaidi, Nauman Aslam, Xiaomin Chen, Omprakash Kaiwartya, Yousef Ali Al-Gumaei

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Citations (Scopus)


    Despite all the acknowledged advantages and recent developments in terms of reducing the environmental impact, noise reduction and energy efficiency, the electric mobility market is still below the expectations. Among the most important challenges that limit the market penetration of Electric Vehicles (EVs) as well as achieving a sustainable mobility system in cities is the efficient distribution of adequate EV charging stations (CSs). In this paper, we propose a novel approach to find the best locations for EVCSs that considers a combination of factors including displacement between the EV and CS, elevation difference between their locations and finite capacities of CSs. The problem is formulated as a Mixed Integer Linear problem (MILP) to minimize the total energy consumption of EVs to reach CSs. A combination of the Genetic Algorithm (GA) technique and the Branch and Bound (BB) algorithm are used to solve the problem. The proposed EVCSs placement technique is experimentally tested considering different case studies. With real world datasets, the results demonstrate the energy centric benefits of the proposed EVCSs placement technique.

    Original languageEnglish
    Title of host publicationIECON 2020
    Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
    Number of pages7
    ISBN (Electronic)9781728154145
    Publication statusPublished - 18 Nov 2020
    Event46th Annual Conference of the IEEE Industrial Electronics Society 2020 - Virtual, Singapore, Singapore
    Duration: 19 Oct 202021 Oct 2020


    Conference46th Annual Conference of the IEEE Industrial Electronics Society 2020
    Abbreviated titleIECON 2020
    CityVirtual, Singapore


    • capacity
    • charging station placement
    • displacement
    • Electric vehicles (EVs)
    • elevation
    • energy consumption

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering


    Dive into the research topics of 'Energy-efficient EV Charging Station Placement for E-Mobility'. Together they form a unique fingerprint.

    Cite this