The magic formula(MF)tire model is a semi-empirical tire model that can precisely simulate tire behavior.The heuristic optimization algorithm is typically used for parameter identification of the MF tire model.To avoi...The magic formula(MF)tire model is a semi-empirical tire model that can precisely simulate tire behavior.The heuristic optimization algorithm is typically used for parameter identification of the MF tire model.To avoid the defect of the traditional heuristic optimization algorithm that can easily fall into the local optimum,a parameter identification method based on the Fibonacci tree optimization(FTO)algorithm is proposed,which is used to identify the parameters of the MF tire model.The proposed method establishes the basic structure of the Fibonacci tree alternately through global and local searches and completes optimization accordingly.The global search rule in the original FTO was modified to improve its efficiency.The results of independent repeated experiments on two typical multimodal function optimizations and the parameter identification results showed that FTO was not sensitive to the initial values.In addition,it had a better global optimization performance than genetic algorithm(GA)and particle swarm optimization(PSO).The root mean square error values optimized with FTO were 5.09%,10.22%,and 3.98%less than the GA,and 6.04%,4.47%,and 16.42%less than the PSO in pure lateral and longitudinal forces,and pure aligning torque parameter identification.The parameter identification method based on FTO was found to be effective.展开更多
针对插电式混合动力汽车(plug-in hybrid electric vehicle,PHEV)复合电源系统存在的高频动态特性、计算量大和混杂特性等问题,提出一种双向DC/DC变换器的混杂自动机模型。通过分析PHEV复合电源系统的工作原理,根据拉格朗日力学理论,建...针对插电式混合动力汽车(plug-in hybrid electric vehicle,PHEV)复合电源系统存在的高频动态特性、计算量大和混杂特性等问题,提出一种双向DC/DC变换器的混杂自动机模型。通过分析PHEV复合电源系统的工作原理,根据拉格朗日力学理论,建立双向DC/DC变换器各工作模态的数学模型,再基于混杂自动机理论并结合离散化处理得到PHEV复合电源双向DC/DC变换器混杂自动机模型,并使用仿真实验对其进行验证。仿真结果表明:该模型计算量适中、跟踪精度高,能完整地描述系统的各个工作模态,兼顾了CCM模式和DCM模式,具有实际应用价值。展开更多
基金the National Natural Science Foundation of China(No.11672127)the Army Research and Technology Project(No.AQA19001)the Fundamental Research Funds for the Central Universities(No.NP2020407)。
文摘The magic formula(MF)tire model is a semi-empirical tire model that can precisely simulate tire behavior.The heuristic optimization algorithm is typically used for parameter identification of the MF tire model.To avoid the defect of the traditional heuristic optimization algorithm that can easily fall into the local optimum,a parameter identification method based on the Fibonacci tree optimization(FTO)algorithm is proposed,which is used to identify the parameters of the MF tire model.The proposed method establishes the basic structure of the Fibonacci tree alternately through global and local searches and completes optimization accordingly.The global search rule in the original FTO was modified to improve its efficiency.The results of independent repeated experiments on two typical multimodal function optimizations and the parameter identification results showed that FTO was not sensitive to the initial values.In addition,it had a better global optimization performance than genetic algorithm(GA)and particle swarm optimization(PSO).The root mean square error values optimized with FTO were 5.09%,10.22%,and 3.98%less than the GA,and 6.04%,4.47%,and 16.42%less than the PSO in pure lateral and longitudinal forces,and pure aligning torque parameter identification.The parameter identification method based on FTO was found to be effective.
文摘针对插电式混合动力汽车(plug-in hybrid electric vehicle,PHEV)复合电源系统存在的高频动态特性、计算量大和混杂特性等问题,提出一种双向DC/DC变换器的混杂自动机模型。通过分析PHEV复合电源系统的工作原理,根据拉格朗日力学理论,建立双向DC/DC变换器各工作模态的数学模型,再基于混杂自动机理论并结合离散化处理得到PHEV复合电源双向DC/DC变换器混杂自动机模型,并使用仿真实验对其进行验证。仿真结果表明:该模型计算量适中、跟踪精度高,能完整地描述系统的各个工作模态,兼顾了CCM模式和DCM模式,具有实际应用价值。
