纯电动汽车复合电源系统模型预测控制（英文）  

Model predictive control on hybrid energy storage system for electric vehicle

作　　者：刘荣 童亮[1,2] 许永红 任继愈 Rong LIU;Liang TONG;Bing MA;Yong-hong XU(School of Electromechanical Engineering, Beijing Information Science & Technology University, Beijing 100192, China;Beijing Collaborative Innovation Center of Electric Vehicles, Beijing 100192, China)

机构地区：[1]北京信息科技大学机电工程学院,北京100192 [2]北京电动车辆协同创新中心,北京100192

出　　处：《机床与液压》2019年第18期17-22,共6页Machine Tool & Hydraulics

基　　金：Supported by National Natural Science Foundation of China(51575056,51275053);National Youth Science Fund Project(51608040);Cultivation Service Ability to Scientific Innovation of Beijing Municipal Commission of Education-New Energy Automotive Beijing Laboratory(City Level)(PXM2017_014224_000005)~~

摘　　要：纯电动汽车动力电池存在功率密度低,使用寿命短的问题,在电源系统中加入高比功率的超级电容组成了复合电源系统,为了使两者更加高效的实现能量转换,提高复合电源系统的性能,在复合电源系统的等效电路模型基础上,结合系统不同的工作模式以及纯电动汽车不同的行驶工况,提出一种动态矩阵的模型预测控制算法,并在实车复合电源试验环境中对模型预测控制算法进行验证,实验结果表明:采用的模型预测控制能很好的实现复合电源系统能量的最优管理。The electric vehicle has the problem that the power battery has a characteristic for low power density and short service life. The hybrid energy storage system is composed of high specific power supercapacitor in the power supply system. In order to realize more efficient energy conversion and improve the performance of hybrid energy storage system, on the basis of the DC/DC converter Boost and Buck equivalent circuit model forhybrid energy storage system, the system is combined with the different working modes of the system. A dynamic matrix model predictive control algorithm is proposed for the different driving conditions of the electric vehicle, and the control algorithm was verified in the vehicle test environment. The experimental results show thatmodel predictive control could realize the energy management of hybrid energy storage system.

关 键 词：纯电动汽车 超级电容 复合电源 等效电路 模型预测控制 

分 类 号：TM912[电气工程—电力电子与电力传动]