MEASUREMENT OF TOYOTA AVENSIS VEHICLE PARAMETERS FOR VEHICLE DYNAMICS MODEL VALIDATION
Published in GÉP 2026/2
https://doi.org/10.70750/GEP.2026.2.11
Csajbók Imola Lenke
MSc hallgató, Debreceni Egyetem Műszaki Kar, Gépészmérnöki Tanszék
Nemes Dániel
tanársegéd, Debreceni Egyetem Műszaki Kar, Gépészmérnöki Tanszék
ABSTRACT
A reliable vehicle dynamics model requires not only a suitable simulation environment, but also experimentally obtained data for parameter identification and validation. This paper presents a measurement and data-processing workflow developed for a MATLAB–Simulink longitudinal vehicle dynamics model. Road tests were carried out on a 2012 Toyota Avensis using a CANedge2 data logger connected to the vehicle’s OBD-II port, enabling the logging of signals such as vehicle speed, engine speed, accelerator pedal position and brake pressure. The recorded MF4 datasets were decoded with DBC databases, filtered, resampled, and finally converted into timeseries format suitable for Simulink simulation input. The measured signals were then compared with the simulation results to evaluate the model’s accuracy in depicting the actual behaviour of the vehicle. In addition, engine braking sections were selected from which linear deceleration characteristics could be determined as a reference for parameter estimation. Rather than focusing solely on simulation outputs, the study aims to present a practical and repeatable method for CAN-based data processing and vehicle model validation. The proposed framework provides a baseline for the development of more accurate longitudinal vehicle dynamics models. Details of this research were published in the article.
