Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control
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 met...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/12/3126 |
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| author | Ricardo Tan Siddhesh Yadav Francis Assadian |
| author_facet | Ricardo Tan Siddhesh Yadav Francis Assadian |
| author_sort | Ricardo Tan |
| collection | DOAJ |
| description | 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, <inline-formula><math display="inline"><semantics><msub><mtext mathvariant="normal">H</mtext><mo>∞</mo></msub></semantics></math></inline-formula>, and hybrid Youla-<inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">H</mi><mo>∞</mo></msub></semantics></math></inline-formula> 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. |
| format | Article |
| id | doaj-art-2fb235e8233441769b0cfaec13922945 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-2fb235e8233441769b0cfaec139229452025-08-20T03:27:28ZengMDPI AGEnergies1996-10732025-06-011812312610.3390/en18123126Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver ControlRicardo Tan0Siddhesh Yadav1Francis Assadian2Department of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USADepartment of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USADepartment of Mechanical & Aerospace Engineering, University of California, Davis, CA 95616, USAThis 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, <inline-formula><math display="inline"><semantics><msub><mtext mathvariant="normal">H</mtext><mo>∞</mo></msub></semantics></math></inline-formula>, and hybrid Youla-<inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">H</mi><mo>∞</mo></msub></semantics></math></inline-formula> 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.https://www.mdpi.com/1996-1073/18/12/3126powertrain scalingcontroller designH<sub>∞</sub> controlYoula parameterizationscale model validation |
| spellingShingle | Ricardo Tan Siddhesh Yadav Francis Assadian Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control Energies powertrain scaling controller design H<sub>∞</sub> control Youla parameterization scale model validation |
| title | Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control |
| title_full | Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control |
| title_fullStr | Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control |
| title_full_unstemmed | Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control |
| title_short | Systemic Scaling of Powertrain Models with Youla and H<sub>∞</sub> Driver Control |
| title_sort | systemic scaling of powertrain models with youla and h sub ∞ sub driver control |
| topic | powertrain scaling controller design H<sub>∞</sub> control Youla parameterization scale model validation |
| url | https://www.mdpi.com/1996-1073/18/12/3126 |
| work_keys_str_mv | AT ricardotan systemicscalingofpowertrainmodelswithyoulaandhsubsubdrivercontrol AT siddheshyadav systemicscalingofpowertrainmodelswithyoulaandhsubsubdrivercontrol AT francisassadian systemicscalingofpowertrainmodelswithyoulaandhsubsubdrivercontrol |