四轮轮毂电机驱动电动汽车建模与仿真  被引量:24

Four Hub-motor-in-wheels Drive Electric Vehicle Modeling and Simulation

在线阅读下载全文

作  者:靳彪[1] 张欣[1] 彭之川 席利贺[1] 

机构地区:[1]北京交通大学机械与电子控制工程学院,北京100044

出  处:《中国公路学报》2016年第4期138-144,共7页China Journal of Highway and Transport

基  金:"十二五"国家科技支撑计划项目(2015BAG05B01);中央高校基本科研业务费专项资金项目(M15JB00210)

摘  要:为了进行四轮轮毂电机驱动电动汽车操纵稳定性控制算法的研究,针对一种四轮轮毂电机驱动电动汽车,分析电动汽车各个部件的工作组成,根据试验样车的整车参数和电机特性,利用MATLAB/Simulink软件建立7自由度四轮轮毂电机驱动电动汽车仿真模型。仿真模型采用模块化设计,建立了整车动力学模型、整车控制器模型、轮胎模型、以及对加速踏板开度和变化率进行模糊推理来计算驾驶人需求扭矩的驾驶人加速意图模型和基于非线性回归法中的三角形三次插补法的轮毂电机模型,并进行了仿真模型的仿真分析,最后,以整车场地试验对所建整车仿真模型进行验证。研究结果表明:仿真模型能够较好地模拟电动汽车的车辆状态变化情况,具有较高的精度,为控制算法的研究提供了良好的平台。In order to research steering stability control algorithm of four hub-motor-in-wheels drive electric vehicle,aiming at an electric vehicle driven by four in-wheel motors,the structural properties of all parts of electric vehicle were analyzed.According to the prototype parameters of test vehicle and motor features,the 7degrees of freedom(DOF)of simulation model of four hubmotor-in-wheels drive electric vehicle was established by using MATLAB/Simulink software.Modular design method was adopted to establish the simulation model.The vehicle dynamics model,controller model,tire model,driver accelerated intention model which calculated the driver's torque requirement by fuzzy inferential method according to accelerator pedal opening and change rate,and hub motor model based on triangle three interpolation method of nonlinear regression method were established.And simulation and analysis of the model were carried out.Finally,the vehicle simulation model was verified by field test.The results show that simulation model can better simulate change the situation of electric vehicle and has higher accuracy,and this model provides a good platform for the researches on control algorithm.

关 键 词:汽车工程 电动汽车 仿真模型 轮毂电机 非线性回归 电机模型 模糊推理 

分 类 号:U461.6[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象