Vehicle Health Monitoring for Driving Safety using Co-simulation between Dymola and Simulink

Abstract

A vehicle dynamics model-based health monitoring process is presented to enhance driving safety. The vehicle model can simulate driving by reflecting degradation performance of suspension and tires. The model was developed using Dymola, and driving simulation was performed by integrating the lane keeping assistant system with the vehicle model using Simulink. The degradation behavior was monitored with k-nearest neighbor and Gaussian mixture model. The remaining useful life for vehicle components was predicted using Gaussian process regression. The proposed method predicts remaining useful life with a 95% confidence level for vehicle components to improve safety for driving.