Journal of Jilin University (Information Science Edition) ›› 2026, Vol. 44 ›› Issue (4): 799-807.

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Design of Experimental Platform for Handling Stability Based on Intelligent Model Vehicle

PENG Silun, HAO Chunguang, WANG Zhen, XIAO Feng, LU Yanhui, JIN Liqiang   

  1. College of Automotive Engineering, Jilin University, Changchun 130022, China
  • Received:2025-07-08 Online:2026-08-06 Published:2026-08-06

Abstract:

To meet the demand for talent cultivation in the context of the rapid development of drive-by-wire chassis, and to tackle issues such as high implementation difficulty, high costs, and safety risks in experimental teaching of vehicle handling and stability, an experimental teaching platform for handling and stability has been designed and developed. The platform is developed based on an intelligent model vehicle chassis, integrating sensors including cameras, gyroscopes, and wheel speed sensors, which enables experimental tests under extreme vehicle operating conditions. The experiment management software is developed on the Matlab platform, facilitating remote configuration and control algorithm loading through wireless communication, featuring high flexibility and scalability. A number of experiments related to handling stability and chassis control have been conducted based on this platform. The experimental results demonstrate that the intelligent model vehicle differs from real vehicles in terms of response frequency and phase delay characteristics, exhibiting higher dynamic response capability and lower phase delay. Its overall trend is consistent with that of real vehicles, which can effectively verify the relevant content in theoretical instructional.

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CLC Number: 

  • TP23