The whole vehicle quality estimation algorithm is built using the Simulink model and based on fuzzy logic thinking. By designing reasonable fuzzy control rules, the confidence level of the quality estimation is determined. When the confidence level is higher than a certain level, the whole vehicle quality estimation is carried out to improve the robustness of the working condition judgment. Using recursive least squares as the basis for vehicle quality estimation, the estimated value is corrected using real-time observations. This method can effectively solve the problem of increasing the risk of misjudgment based solely on fixed threshold values for limiting conditions, such as sensor signal fluctuations and driver emergency operations.
Please note that only the joint simulation model of the truck sim is provided, and this price does not include actual assistance in joint debugging with the truck sim. Joint simulation debugging and interface configuration with the truck sim require self configuration. The following are the reference signal interfaces required for the input of the model's trucksim:
Input 1: Driving force/N
Input 2: Vehicle speed/km/h
Input 3: Longitudinal acceleration/g
Input 4: Front axle vertical load/N
Input 5: Vertical load on the central axis/N
Input 6: Rear axle vertical load/N
Input 7: Lateral acceleration/g
By configuring the interface, joint simulation can be achieved
10 июл 2024
