Chaozhi HuangFen-Tian CaiJun LongHonggang WangHua Fang
The Ministry of Transportation began to carry out demonstration operation of modular centre axle trailer trains nationwide in April 2018. However, since the possibility of a traffic accident in a trailer train relative to a single vehicle is greater, it is necessary to study the handling stability of a centre axle trailer train. This paper is aimed to study the multi-objective optimization method for the handling stability of centre axle trailer trains, and provide reference for the design of centre axle trailer trains. This paper proposes a multi-objective optimization method for handling stability of the centre axle trailer train based on Isight, TruckSim and Matlab. The simulation model of the centre axle trailer train is established Firstly. Then, based on the multi-objective optimization principle, the peak load transfer rate LTR and the lateral acceleration rearward amplification ARA in the single lane change test, and the peak yaw rateω 1 of tractor and the peak yaw rateω 2 of trailer in the pylon course slalom test are selected as optimization targets. The sensitivity analysis is used to screen the design variables and the optimization operation is performed by the second generation non-dominated sorting genetic algorithm with elite strategy (NSGA-II). The optimal compromise solution is obtained by the combined weighting method. The results show that LTR and ARA of the centre axle trailer train in the single lane change verification test are reduced by 7.14% and 5.17%, respectively, andω 1 andω 2 of the centre axle trailer train in the serpentine verification test. are reduced by 0.52% and 2.70%, respectively. Using Isight, TruckSim and Matlab co-simulation to optimize the handling stability of the centre axle trailer train has achieved the optimization goal. More evaluation indexes can be considered in subsequent studies.
Hao ZhangZe-kai RenHongwei Zhang
Yuliang YangYang YuYing SunJian Min ZengYunquan Zhang
Jingming ZhangFei WuYunshuang Zhang
Hao ZhangZe-kai RenHongwei ZhangChaozhi Huang