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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

13 Citations (Scopus)

194 Downloads (Pure)

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.

Original language	English
Title of host publication	2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	5
ISBN (Electronic)	9781728189598
DOIs	https://doi.org/10.1109/VPPC49601.2020.9330828
Publication status	Published - Nov 2020
Event	17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020) - Virtual, Gijon, Spain Duration: 18 Nov 2020 → 16 Dec 2020 Conference number: 17

Conference

Conference	17th IEEE Vehicle Power and Propulsion Conference (VPPC 2020)
Abbreviated title	VPPC 2020
Country/Territory	Spain
City	Virtual, Gijon
Period	18/11/20 → 16/12/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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

Keywords

Convex optimization
Electric vehicles

Access to Document

10.1109/VPPC49601.2020.9330828

2005.07592v1Submitted manuscript, 611 KB
Borsboom.Fahdzyana.ea.VPPC20Final author version , 539 KB

Cite this

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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, Spain, 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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

UR - https://www.scopus.com/pages/publications/85095374853

U2 - 10.1109/VPPC49601.2020.9330828

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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