Electric drivetrain optimization for a commercial fleet with different degrees of electrical machine commonality

Research output: Contribution to journalArticle

Abstract

At present, the prevalence of electric vehicles is increasing continuously. In particular, there are promising applications for commercial vehicles transfering from conventional to full electric, due to lower operating costs and stricter emission regulations. Thus, cost analysis from the fleet perspective becomes important. The study of cost competitiveness of different drivetrain designs is necessary to evaluate the fleet cost variance for different degrees of electrical machine commonality. This paper presents a methodology to find a preliminary powertrain design that minimizes the Total Cost of Ownership (TCO) for an entire fleet of electric commercial vehicles while fulfilling the performance requirements of each vehicle type. This methodology is based on scalable electric machine models, and particle swarm is used as the main optimization algorithm. The results show that the total cost penalty incurred when sharing the same electrical machine is small, therefore, there is a cost saving potential in higher degrees of electrical machine commonality.

Details

Authors
Organisations
External organisations
  • BorgWarner Sweden AB
  • Haldex Brakes AB
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Vehicle Engineering

Keywords

  • Electric commercial vehicles, Electrical machine scaling, Fleet optimization, Total cost of ownership
Original languageEnglish
Article number2989
JournalEnergies
Volume14
Issue number11
Publication statusPublished - 2021 Jun 1
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

Funding Information: Funding: This research was funded by Swedish Energy Agency, grant number 50213‐1.