摘要
针对纯电动汽车制动能量回收利用率较低的问题,以后驱纯电动汽车为研究对象,提出一种基于模糊控制的制动能量回收策略。引入电池荷电状态(SOC)作为考虑因素,以SOC和车速为输入变量,以电机制动力占比为输出变量,设计模糊控制器,对制动力进行分配;并在ADVISOR中搭建纯电动汽车整车模型,在NEDC及FTP75工况下对该控制策略进行仿真验证。结果表明:所设计的能量回收策略可使汽车在NEDC及FTP75工况下的续航里程分别提高22.3 km和31.4 km;使整车能量效率分别提高3.5%和6.8%。
Aiming at the problem of low utilization rate of braking energy recovery in pure electric vehicles,taking the rear drive pure electric vehicle as the research object,a braking energy recovery strategy based on fuzzy control is proposed. The state of charge(SOC)of battery is introduced as a consideration factor,SOC and vehicle speed are taken as input variables,and the proportion of motor braking force is taken as output variable, a fuzzy controller is designed to distribute braking force,and the whole vehicle model of pure electric vehicle is built in ADVISOR,the control strategy is simulated and verified under NEDC working condition and FTP75 working condition. The results show that the designed energy recovery strategy can increase the driving range of the vehicle under NEDC and FTP75 conditions by 22.3 km and 31.4 km respectively,and the vehicle energy efficiency is increased by 3.5% and 6.8% respectively.
作者
秦揽悦
李丽
QIN Lanyue;LI Li(School of Automotive and Traffic Engineering,Jiangsu University of Technology,Changzhou 213001,China)
出处
《江苏理工学院学报》
2022年第6期96-106,共11页
Journal of Jiangsu University of Technology
基金
国家自然科学基金项目“基于系统定量评价机制的气体燃料缸内掺混效果混杂定量解耦研究”(52105260)。