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Making wireless charging a reality: a real-world mixed methods evaluation of vehicle alignment

    • Nottingham City Council

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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    Abstract

    Wireless charging could allow drivers to better manage their vehicle’s range through more frequent, if slower, charging. However, accurate alignment between the vehicle and the ground pad is crucial. 12 participants were asked to align either the front or rear of a wireless-enabled vehicle, with a ground pad; both with and without the sup-port of an in-vehicle alignment HMI. We found that participants were most accurate when front aligning the vehicle. The alignment HMI significantly improved longitudinal alignment in all conditions. However, when front aligning, lateral alignment was not significantly improved by the HMI. Alignment was poorest when the vehicle pad was at the rear of the vehicle. We found that 100% of participants could align accurately enough to begin charging with the aid of the HMI, followed by only 17% for unassisted front aligning and 0% when rear aligning; highlighting the importance of pad location and HMI support.

    Original languageEnglish
    Title of host publicationIntelligent Human Systems Integration (IHSI 2022)
    Subtitle of host publicationIntegrating People and Intelligent Systems
    PublisherAHFE Conference
    Edition22
    ISBN (Print)9781792389887
    DOIs
    Publication statusPublished - 2022

    Publication series

    NameApplied Human Factors and Ergonomics International
    Number22
    Volume22
    ISSN (Electronic)2771-0718

    Bibliographical note

    Publisher Copyright:
    © 2022, AHFE International. All rights reserved.

    Funding

    This study has provided an important step in understanding the challenges facing the adoption of wireless charging for electric vehicles. Despite the challenges of alignment, all drivers were able to align within the required tolerances for wireless charging when supported by the in-vehicle HMI. Evidently, while it provides an improvement for front alignment, an assistance HMI appears to be essential for rear alignment, where alignment was significantly worse than the other two conditions. As with many aspects of human factors, experience will play an important role in alignment accuracy. It could be the case that as participants continue to align and become familiarised with the vehicle, that alignment accuracy will improve. Future studies should look to explore this alignment process longitudinally to understand how quickly participants can become familiarised with the process. However, supporting novice users is essential to ensure they persist with the technology and realise the full benefits that electric vehicles offer. The authors would like to acknowledge WiCET Project partners: Cenex, Nottingham City Council, Shell Recharge, Hangar19, Sprint Power and Transport for London. The work is funded by the Office for Zero Emission Vehicles and supported by Innovate UK (106610).

    FundersFunder number
    Innovate UK106610

    Keywords

    • alignment
    • electric vehicles
    • human factors
    • wireless inductive charging

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Management Science and Operations Research
    • Engineering (miscellaneous)
    • Safety, Risk, Reliability and Quality

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