Systemic Scaling of Powertrain Models with Youla and H ∞ Driver Control

Ricardo Tan, Siddhesh Yadav and Francis Assadian ()
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Ricardo Tan: Department of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USA
Siddhesh Yadav: Department of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USA
Francis Assadian: Department of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USA

Energies, 2025, vol. 18, issue 12, 1-33

Abstract: This paper presents a methodology for systematically scaling vehicle powertrain and other models and an approach for using model parameters and scaling variables to perform controller design. The parameter scaling method allows for high degrees of scaling while maintaining the target performance metrics, such as vehicle speed tracking, with minimal changes to the model code by the researcher. A comparison of proportional-integral, Youla parameterization, H ∞ , and hybrid Youla- H ∞ controllers is provided, along with the respective methods for maintaining controller performance metrics across degrees of model scaling factors. The application of the scaling and various control design methods to an existing model of a hydrogen fuel cell and a battery electric vehicle powertrain allows for the development of a representative scale model to be compared with experimental data generated by an actual scale vehicle. The comparison between scaled simulation and experimental data will eventually be used to inform the expected performance of the full-size electric vehicle based on full-size simulation results.

Keywords: powertrain scaling; controller design; H ∞ control; Youla parameterization; scale model validation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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