功率分流式HEV电机参数动力性最优匹配
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作者单位:

(1.北京理工大学 机械与车辆学院,北京 100081; 2.车辆传动国家重点实验室(北京理工大学), 北京 100081 )

作者简介:

刘辉(1975—),女,教授,博士生导师

通讯作者:

刘辉, lh@bit.edu.cn.

中图分类号:

U469.72

基金项目:

教育部新世纪优秀人才支持计划(NCET-12-0048); 国家自然科学基金(51305026)


Optimum of power characteristics for motors matching of a power split HEV
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Affiliation:

(1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; 2.State Key Laboratory of Vehicle Transmission(Beijing Institute of Technology), Beijing 100081, China)

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    摘要:

    为解决功率分流式混合动力汽车在动力工况中受电机工作点制约系统无法同时发挥发动机和电机最大转矩的问题,提出以动力性最优为目标的双模式混合驱动系统电机参数匹配方法.基于双电机的转速、转矩与混合驱动系统的输入输出转速、转矩的关系,提出电机最高转速和峰值转矩的匹配方法.研究系统电功率分流特性与电机工作点的关系以及电机额定转速与电机输出转矩的关系,并提出电机额定转速的匹配方法.结合匹配实例分析两种模式下发动机和电机的工作状态.结果表明:提出的电机参数匹配方法可使系统同时发挥发动机和电机的最大转矩特性,实现了发动机与电机之间最优工作点的匹配,使系统获得最佳的动力特性.

    Abstract:

    The engine cannot exert the peak torque if the parameters of motors are not match well in a power split hybrid vehicle. In such a case, the engine is working at a speed so that it has the ability to exert its peak torque while the motor limits the torque of engine due to the working points of motors. To solve this problem, a novel strategy is proposed for the parameter matching of the dual-mode power split transmission with the optimum of the power output characteristics as objective. The motors' maximum speed and torque are matched on the basis of the analysis on the characteristics of the dual-mode hybrid transmission. The relation ship between the motors' rated speed and the engine working points is studied with the help of analysis on the characteristics of electric power split, and the method for the motors' rated speed matching is put forward. The validity of the matching method is validated by matching examples. Finally, the motors and the engine performance are analyzed and the results show that the power split transmission can exert the peak torque of the engine and motors at the same time by coordinating the working points of them.

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刘辉,王腾,刘志伟,韩立金.功率分流式HEV电机参数动力性最优匹配[J].哈尔滨工业大学学报,2017,49(7):106. DOI:10.11918/j. issn.0367-6234.201602033

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  • 收稿日期:2016-02-24
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  • 在线发布日期: 2017-07-11
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