In order to accurately describe the dynamic characteristics of articulated heavy vehicles, their 3-DOF and 5-DOF simplified models are established, and based on Trucksim data the key parameters of simplified models are identified by using genetic algorithm combined with double models. A simulation on the models in dy-namic conditions is carried out with the MAPs of key identified parameters. The comparisons of simulation results with Trucksim data indicate that the MAPs of key identified parameters meet the requirements of the simplified mod-els for articulated heavy vehicles in characterizing the actual state of vehicle, laying a foundation for vehicle stability control.%为准确表征重型半挂车的动态特性，在建立3和5自由度简化模型基础上，利用 Trucksim 数据并运用双模型与遗传算法相结合的方法对简化模型关键参数进行了辨识。利用辨识后的关键参数的 MAP 图，进行了模型动态工况的仿真。仿真结果与 Trucksim 数据对比表明：采用此方法辨识出的关键参数 MAP 图能够满足重型半挂车简化模型表征车辆实际状态的要求，为车辆稳定性控制奠定了基础。
展开▼
