Decomposition-Based Integrated Optimal Electric Powertrain Design

Chyannie Amarillio Fahdzyana (Corresponding author), Mauro Salazar, M.C.F. (Tijs) Donkers, Theo Hofman

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
226 Downloads (Pure)

Abstract

This paper presents a decomposed co-design optimization framework for an electric vehicle powertrain equipped with a Continuously Variable Transmission (CVT). We jointly design the sizes of the powertrain components and the energy management strategy, considering the design and the dynamics of the transmission. Specifically, we divide the resulting nonlinear optimization problem into separate hierarchical optimization subproblems leveraging the concept of Analytical Target Cascading (ATC). Furthermore, we compare the proposed decomposition-based strategy with a centralized approach, in which we solve the same problem, and show that the method presented in this paper can be a potential alternative to a centralized optimization formulation for solving the large-scale, complex integrated plant and control system design. Finally, we compare the resulting performance of using a CVT on the vehicle total-cost-of-ownership with that equipped with a Fixed-Gear Transmission (FGT), which is what is commonly implemented in current electric vehicles. Our results show that by jointly optimizing the design of the transmission along with the control strategy, the CVT yields a lower energy consumption and total-cost-of-ownership compared to that of the FGT.
Original languageEnglish
Article number9729544
Pages (from-to)6044-6058
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Volume71
Issue number6
DOIs
Publication statusPublished - 1 Jun 2022

Keywords

  • electric vehicles, co-design, optimization, continuously variable transmission
  • Costs
  • co-design
  • system design
  • Loss measurement
  • Batteries
  • Vehicle dynamics
  • Optimization
  • Electric machines
  • optimization
  • Mechanical power transmission
  • continuously variable transmission
  • simultaneous design
  • multi-objective optimization

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