Powertrain design optimization for a battery electric heavy-duty truck

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, the energetic benefits of a multispeed transmission compared to a single speed transmission is analyzed for a long-haul truck. The truck is simulated using a reference long-haul cycle from the Vehicle Energy consumption Calculation Tool (VECTO). A nested optimization routine is used to optimize the battery, electric machine size and the gear ratio value(s) in an outer loop with the particle swarm optimization algorithm and in the inner loop the gear shifting is optimized, as a local minimization problem. It is found that the electric machine size can be reduced (-16%) without compromising the vehicles top speed and acceleration performance, and with a moderate reduction in energy usage (-1.4 %). The total number of gears did not significantly influence the energy usage on the long-haul drive cycle studied. The results show the potential of reducing the size of an electric machine and increase in gradeability of the vehicle with the usage of a multi-speed for trucks. Much larger gains in energy usage, without compromising performance, are expected on more dynamic driving conditions and using a dedicated (more compact and integrated) electric machine design for a multispeed transmission, which is seen as future work.

LanguageEnglish
Title of host publication2019 American Control Conference, ACC 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1488-1493
Number of pages6
ISBN (Electronic)9781538679265
DOIs
StatePublished - 1 Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019
http://acc2019.a2c2.org

Conference

Conference2019 American Control Conference, ACC 2019
Abbreviated titleACC2019
CountryUnited States
CityPhiladelphia
Period10/07/1912/07/19
Internet address

Fingerprint

Electric batteries
Electric machinery
Powertrains
Trucks
Gears
Machine design
Particle swarm optimization (PSO)
Energy utilization
Design optimization

Cite this

Verbruggen, F. J. R., Rangarajan, V., & Hofman, T. (2019). Powertrain design optimization for a battery electric heavy-duty truck. In 2019 American Control Conference, ACC 2019 (pp. 1488-1493). [8814771] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.23919/ACC.2019.8814771
Verbruggen, Frans J.R. ; Rangarajan, V. ; Hofman, Theo. / Powertrain design optimization for a battery electric heavy-duty truck. 2019 American Control Conference, ACC 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 1488-1493
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Verbruggen, FJR, Rangarajan, V & Hofman, T 2019, Powertrain design optimization for a battery electric heavy-duty truck. in 2019 American Control Conference, ACC 2019., 8814771, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1488-1493, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 10/07/19. DOI: 10.23919/ACC.2019.8814771

Powertrain design optimization for a battery electric heavy-duty truck. / Verbruggen, Frans J.R.; Rangarajan, V.; Hofman, Theo.

2019 American Control Conference, ACC 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. p. 1488-1493 8814771.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Verbruggen FJR, Rangarajan V, Hofman T. Powertrain design optimization for a battery electric heavy-duty truck. In 2019 American Control Conference, ACC 2019. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 1488-1493. 8814771. Available from, DOI: 10.23919/ACC.2019.8814771