Wind-Disturbance Integrated LPV Model for Energy-Efficient Vehicles

This paper introduces a control-oriented Linear Parameter Varying (LPV) model of an energy-efficient electric vehicle, enhanced to account for wind-induced disturbances. The proposed model structure is designed to support model-based control strategies focused on minimizing energy consumption. In addition to core control inputs—such as torque reference and cornering radius—the model integrates a simulated representation of wind effects on the vehicle’s longitudinal dynamics. To manage the underlying nonlinearities of the vehicle dynamics, a trajectory-based linearization approach was employed to construct the baseline LPV model without wind effects. The accuracy of the extended model was validated using real-world speed profile data. Owing to its modular and control-compatible design, the model provides a solid foundation for testing and developing energy-saving control strategies, making it especially applicable to the design and operation of energy-efficient electric vehicles. The proposed model holds significant potential for further reducing energy consumption, particularly in urban transportation scenarios.

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Publication Details

Published
2025-11-10
DOI
https://doi.org/10.3390/engproc2025113044
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Wind-Disturbance Integrated LPV Model for Energy-Efficient Vehicles

Zoltán Pusztai, Tamás Luspay
Electric and Hybrid Vehicle Technologies
article

Wind-Disturbance Integrated LPV Model for Energy-Efficient Vehicles

Zoltán Pusztai, Tamás Luspay
article en

Abstract

This paper introduces a control-oriented Linear Parameter Varying (LPV) model of an energy-efficient electric vehicle, enhanced to account for wind-induced disturbances. The proposed model structure is designed to support model-based control strategies focused on minimizing energy consumption. In addition to core control inputs—such as torque reference and cornering radius—the model integrates a simulated representation of wind effects on the vehicle’s longitudinal dynamics. To manage the underlying nonlinearities of the vehicle dynamics, a trajectory-based linearization approach was employed to construct the baseline LPV model without wind effects. The accuracy of the extended model was validated using real-world speed profile data. Owing to its modular and control-compatible design, the model provides a solid foundation for testing and developing energy-saving control strategies, making it especially applicable to the design and operation of energy-efficient electric vehicles. The proposed model holds significant potential for further reducing energy consumption, particularly in urban transportation scenarios.

HUN-REN Institute for Computer Science and Control (HU), Széchenyi István University (HU)
Openalex Percentile: Top 63%
Electric and Hybrid Vehicle Technologies
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