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

Olaf Borsboom; Chyannie A. Fahdzyana; Mauro Salazar; Theo Hofman

doi:10.1109/VPPC49601.2020.9330828

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

Olaf Borsboom, Chyannie A. Fahdzyana, Mauro Salazar, Theo Hofman

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

12 Citaten (Scopus)

159 Downloads (Pure)

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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 motor, and two transmission technologies: a fixed-gear transmission (FGT) 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 an FGT 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 an FGT.

Originele taal-2	Engels
Titel	2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	5
ISBN van elektronische versie	9781728189598
DOI's	https://doi.org/10.1109/VPPC49601.2020.9330828
Status	Gepubliceerd - nov. 2020
Evenement	17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020) - Virtual, Gijon, Spanje Duur: 18 nov. 2020 → 16 dec. 2020 Congresnummer: 17

Congres

Congres	17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020)
Verkorte titel	VPPC 2020
Land/Regio	Spanje
Stad	Virtual, Gijon
Periode	18/11/20 → 16/12/20

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© 2020 IEEE.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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10.1109/VPPC49601.2020.9330828

2005.07592v1Ingediend manuscript, 611 KB
Borsboom.Fahdzyana.ea.VPPC20Finale auteursversie , 539 KB

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@inproceedings{ab04aa294f694c9e8b4bca9650b1b515,

title = "Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies",

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 motor, and two transmission technologies: a fixed-gear transmission (FGT) 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 an FGT 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 an FGT.",

keywords = "Convex optimization, Electric vehicles",

author = "Olaf Borsboom and Fahdzyana, {Chyannie A.} and Mauro Salazar and Theo Hofman",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020), VPPC 2020 ; Conference date: 18-11-2020 Through 16-12-2020",

year = "2020",

month = nov,

doi = "10.1109/VPPC49601.2020.9330828",

language = "English",

booktitle = "2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Borsboom, O, Fahdzyana, CA, Salazar, M & Hofman, T 2020, Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies. in 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings., 9330828, Institute of Electrical and Electronics Engineers, 17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020), Virtual, Gijon, Spanje, 18/11/20. https://doi.org/10.1109/VPPC49601.2020.9330828

Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies. / Borsboom, Olaf; Fahdzyana, Chyannie A.; Salazar, Mauro et al.
2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings. Institute of Electrical and Electronics Engineers, 2020. 9330828.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies

AU - Borsboom, Olaf

AU - Fahdzyana, Chyannie A.

AU - Salazar, Mauro

AU - Hofman, Theo

N1 - Conference code: 17

PY - 2020/11

Y1 - 2020/11

N2 - 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 motor, and two transmission technologies: a fixed-gear transmission (FGT) 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 an FGT 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 an FGT.

AB - 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 motor, and two transmission technologies: a fixed-gear transmission (FGT) 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 an FGT 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 an FGT.

KW - Convex optimization

KW - Electric vehicles

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DO - 10.1109/VPPC49601.2020.9330828

M3 - Conference contribution

BT - 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020)

Y2 - 18 November 2020 through 16 December 2020

ER -

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

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