Fault Analysis and Debugging of Intelligent Connected Car Wire-Controlled Chassis System

This research study deals with the fault analysis and troubleshooting of the electronically controlled chassis system of the intelligent connected vehicle. The author first emphasizes the critical role of electronic and electrical architecture design in the technological innovation of intelligent connected vehicles. Special attention is given to the AUTOSAR software architecture, a collaborative project developed by automotive companies to provide leading solutions for implementing functionality. AUTOSAR emphasizes the improvement of software reusability, portability, and scalability, fostering collaboration among different manufacturers and suppliers, leading to resource sharing and cost savings. The paper reviews the latest research on intelligent connected vehicles, including multi-agent systems, communication, and joint approaches involving caching and computation. These studies demonstrate how advanced technologies and algorithms can optimize traffic flow and improve safety performance. Finally, this study introduces a novel automotive fault sensor model using the DS18B20 temperature sensor and the AWA14400 vibration sensor. This helps to detect temperature and vibration in vehicles, facilitating diagnosis and prevention of potential problems. In addition, a fuzzy fault tree model is constructed for fault analysis. In summary, this research provides an in-depth study of the fault analysis and debugging of the electronically controlled chassis system of the intelligent connected vehicle, which provides valuable insights for the future development of intelligent connected vehicles.