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Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox

Author

Listed:
  • György Istenes

    (Vehicle Industry Research Center, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary)

  • József Polák

    (Department of Road and Rail Vehicles, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary)

Abstract

In this paper, a software framework is presented through an application that is able to jointly optimize an electric motor and a gearbox for the design of a drive system for electric vehicles. The framework employs a global optimization method and uses both analytical and finite element method (FEM) models to evaluate the objective functions. The optimization process is supported by a statistical surrogate model, which allows a large reduction of runtime. An earlier version of this framework was only suitable for electric motor optimization. In the application presented in a previous paper, the motor of a belt-driven electric drive system was optimized. In this paper, the optimization of the same drive system is shown, but now with a combined optimization of a gear drive and motor. The objective functions of optimization are minimizing the total loss energy and the weight of the drive system. The optimization results are compared with previous results to demonstrate the further potential of joint optimization.

Suggested Citation

  • György Istenes & József Polák, 2024. "Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox," Energies, MDPI, vol. 17(5), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1203-:d:1350380
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    References listed on IDEAS

    as
    1. György Istenes & Zoltán Pusztai & Péter Kőrös & Zoltán Horváth & Ferenc Friedler, 2023. "Kriging-Assisted Multi-Objective Optimization Framework for Electric Motors Using Predetermined Driving Strategy," Energies, MDPI, vol. 16(12), pages 1-21, June.
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