纯电动汽车热泵空调系统模糊控制策略优化  

Optimization of Fuzzy Control Strategy for Heat Pump Air Conditioning System of Pure Electric Vehicle

作　　者：叶立[1] 胡林 张梦伢 谢小辉 万滕飞 YE Li;HU Lin;ZHANG Meng-ya;XIE Xiao-hui;WAN Teng-fei(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学能源与动力工程学院,上海200093

出　　处：《控制工程》2021年第8期1526-1533,共8页Control Engineering of China

基　　金：国家自然科学基金资助项目(51736007);上海理工大学科技发展项目(2018KJFZ179)。

摘　　要：为了提高新能源汽车乘客舱的热舒适性,综合考虑汽车空调控制系统的复杂性,对纯电动汽车热泵空调系统的模糊控制策略进行优化。利用AMESim建立纯电动汽车热泵空调系统模型,采用MATLAB\Simulink建立系统直流电动机的模糊控制器模型,并将两种模型进行耦合,在不同环境工况下对车舱温度变化进行联合仿真。研究表明,传统模糊控制器采用固定的Ke,Kec,Ku,在各个工况下都有明显的稳态误差,误差为-0.5~0.5℃;采用在线自调整模糊控制器进行控制后,车舱温度在趋近于目标温度时存在微小波动而无法稳定;优化后的在线自调整模糊积分控制器可基本消除稳态误差,控制精度高,各工况下的稳态车舱温度均只高于目标温度约0.01℃。In order to improve the thermal comfort of the passenger compartment of new energy vehicles,the fuzzy control strategy for heat pump air conditioning system of pure electric vehicle is optimized considering the complexity of the air conditioning control system.AMESim is used to establish the model of heat pump air conditioning system of pure electric vehicle,and MATLAB/Simulink is used to establish the fuzzy controller model of direct current(DC)motor of the system.The two models are coupled to carry out the joint simulation of cabin temperature under different working conditions.The results show that the traditional fuzzy controller using fixed Ke,Kec,Ku has obvious steady-state error under all working conditions,and the error is 0.5~0.5℃.After the online self-adjusting fuzzy controller is used for control,the cabin temperature has slight fluctuations when it approaches the target temperature and cannot be stabilized.The optimized online self-adjusting fuzzy integral controller can basically eliminate the steady-state error and has high control accuracy,and the steady-state cabin temperature is only about 0.01℃higher than the target temperature under all working conditions.

关 键 词：电动汽车 热泵空调 在线自调整 模糊积分 联合仿真 

分 类 号：TK323[动力工程及工程热物理—热能工程]