Vehicle Dynamics Model Parameter Estimation using Physics-Informed Neural Network

Jaeseung Yu; Kibeom Lee

doi:10.22680/kasa2025.17.2.030

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2025 Vol.17, Issue 2 Preview Page Next Page

Vehicle Dynamics Model Parameter Estimation using Physics-Informed Neural Network 물리 정보 신경망을 통한 차량 동역학 모델 파라미터 추정

30 June 2025. pp. 30-35

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Abstract

As autonomous driving technology advances, validation in virtual environments is becoming increasingly crucial, leading to ongoing efforts to reduce discrepancies between simulated and real-world vehicle dynamic behavior. Dynamic consistency is essential for evaluating the reliability and safety of autonomous algorithms. Although data-driven learning methods have been actively explored, simulation models cannot be fully replaced by learning approaches alone due to the importance of interaction with ground surfaces. Therefore, this study proposes a physics-based parameter estimation method for improving vehicle dynamics accuracy in virtual simulations for autonomous vehicles. The proposed methodology utilizes Physics-Informed Neural Networks (PINN) to effectively estimate parameters of both longitudinal and lateral vehicle dynamics models. This approach adheres to the physical laws governing vehicle dynamics and ensures robust interactions with the physics engines used in virtual environments, leveraging data-driven learning to enhance dynamic consistency. The proposed method is expected to serve as a core technology for verifying autonomous vehicle systems in virtual environments, contributing significantly to improving the safety and reliability of autonomous driving systems.

Keywords

Physics model(물리 모델)

Vehicle dynamics(차량 동역학)

Parameter estimation(파라미터 추정)

Simulation environment(시뮬레이션 환경)

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Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차모빌리티안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 17
No :2
Pages :30-35
Received Date : 2025-05-05
Revised Date : 2025-05-21
Accepted Date : 2025-05-27
DOI :https://doi.org/10.22680/kasa2025.17.2.030

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

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