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Regenerative braking failures in battery electric vehicles and their impact on the driver
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0001-7427-2584
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2018 (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 71, p. 29-37Article in journal (Refereed) Published
Abstract [en]

A unique feature of battery electric vehicles (BEV) is their regenerative braking system (RBS) to recapture kinetic energy in deceleration maneuvers. If such a system is triggered via gas pedal, most deceleration maneuvers can be executed by just using this pedal. This impacts the driving task as different deceleration strategies can be applied. Previous research has indicated that a RBS failure leading to a sudden reduced deceleration represents an adverse event for BEV drivers. In the present study, we investigated such a failure's impact on the driver's evaluation and behavior. We conducted an experiment on a closed-off test track using a modified BEV that could temporarily switch off the RBS. One half of the 44 participants in the study received information about an upcoming RBS failure whereas the other half did not. While 91% of the drivers receiving prior information noticed the RBS failure, only 48% recognized it in the “uniformed” group. In general, the failure and the perception of its occurrence influenced the driver's evaluation and behavior more than receiving prior information. Nevertheless, under the tested conditions, drivers kept control and were able to compensate for the RBS failure. As the participants drove quite simple maneuvers in our experiment, further studies are needed to validate our findings using more complex driving settings. Given that RBS failures could have severe consequences, appropriate information and warning strategies for drivers are necessary.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 71, p. 29-37
Keywords [en]
Battery electric vehicles, Controllability, Failures, Regenerative braking, Traffic safety
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-227508DOI: 10.1016/j.apergo.2018.03.012ISI: 000437366400004Scopus ID: 2-s2.0-85045048918OAI: oai:DiVA.org:kth-227508DiVA, id: diva2:1205936
Note

QC 20180515

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-07-23Bibliographically approved

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Wanner, Daniel

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