Determination Method of Lateral Stability of Heavy Vehicles in Alpine Areas
In order to ensure the timely intervention of the control system when heavy vehicles are driving downhill on curved roads in high mountains,it is necessary to accurately determine the driving stability of heavy vehicles.In view of the current com-plexity of curved roads in mountainous areas,the vehicle stability judgment of heavy vehicles is still insufficient,and a vehicle stability judgment method based on the improved artificial bee colony K-mean algorithm(IABC-Kmean)is designed.The curved road model and heavy vehicle model are built based on Trucksim,and a large number of simulations are performed to ob-tain state parameter data that characterizes the stability of the vehicle.The obtained data is clustered through the IABC-Kmean algorithm to obtain the cluster center and the vehicle stability level.Firstly,a joint simulation platform of Trucksim and Simulink is established,and the stability level of the vehicle is judged by real-time calculation of the Euclidean distance between the stabili-ty state parameter data obtained by the vehicle driving and the cluster center.The tire force method is selected as the benchmark criterion,and the judgment method based on the improved artificial bee colony K-means algorithm is analyzed.Finally,the judgment result is used as the basis for the intervention of the stability control strategy,and through Trucksim/Simulink co-simu-lation,the validity and accuracy of the stability judgment method are verified.
万方数据
维普
