Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies

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Abstract

This paper presents models and optimization methods to rapidly compute the achievable lap time of a race car equipped with a battery electric powertrain. Specifically, we first derive a quasi-convex model of the electric powertrain, including the battery, the electric machine, and two transmission technologies: a single-speed fixed gear and a continuously variable transmission (CVT). Second, assuming an expert driver, we formulate the time-optimal control problem for a given driving path and solve it using an iterative convex optimization algorithm. Finally, we showcase our framework by comparing the performance achievable with a single-speed transmission and a CVT on the Le Mans track. Our results show that a CVT can balance its lower efficiency and higher weight with a higher-efficiency and more aggressive motor operation, and significantly outperform a fixed single-gear transmission.
Original languageEnglish
Title of host publicationIEEE Vehicle Propulsion and Power Conference
Publication statusSubmitted - 15 May 2020
EventIEEE Vehicle Propulsion and Power Conference - Gijón, Spain
Duration: 26 Oct 202029 Oct 2020
https://events.vtsociety.org/vppc2020/

Conference

ConferenceIEEE Vehicle Propulsion and Power Conference
CountrySpain
CityGijón
Period26/10/2029/10/20
Internet address

Bibliographical note

5 pages, 4 figures, submitted to the 2020 IEEE Vehicle Power and Propulsion Conference

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  • Cite this

    Borsboom, O., Fahdzyana, C. A., Salazar, M., & Hofman, T. (2020). Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies. Manuscript submitted for publication. In IEEE Vehicle Propulsion and Power Conference