矩阵风扇冷却系统模糊控制的研究*

doi:10.19562/j.chinasae.qcgc.2020.03.010

汽车工程 ›› 2020, Vol. 42 ›› Issue (3): 345-352.doi: 10.19562/j.chinasae.qcgc.2020.03.010

矩阵风扇冷却系统模糊控制的研究^*

王宏朝^1,2, 单希壮², 杨志刚^2,3

1.郑州宇通客车股份有限公司,郑州 450006;
2.同济大学,上海地面交通工具风洞中心,上海 201804;
3.北京民用飞机技术研究中心,北京 102211

收稿日期:2019-02-28 出版日期:2020-03-25 发布日期:2020-04-16
通讯作者: 王宏朝,博士,E-mail:whcjordan@163.com
基金资助:
*国家国际技术合作专项项目(2014DFA10610)和上海市地面交通工具风洞专业技术服务平台项目(18DZ227330)资助

Study on Fuzzy Control of Cooling System with Matrix Fans

Wang Hongchao^1,2, Shan Xizhuang², Yang Zhigang^2,3

1.Zhengzhou Yutong Bus Co., Zhengzhou 450006;
2.Tongji University, Shanghai Automotive Wind Tunnel Center, Shanghai 201804;
3.Beijing Aeronautical Science and Technology Research Institute, Beijing 102211

Received:2019-02-28 Online:2020-03-25 Published:2020-04-16

摘要/Abstract

摘要： 为提升车辆冷却系统效能,首先在传统乘用车冷却系统的基础上引入矩阵风扇型式,并在此基础上设计出模糊控制器。然后通过联合仿真研究了在模糊控制器作用下,矩阵风扇对车辆冷却系统性能的影响。结果表明:在瞬态工况下,采用模糊控制器的矩阵风扇系统能将发动机出水口温度波动幅值减小约76%,将风扇系统能耗降低31.2%。矩阵风扇多模式运行时,模糊控制器除能根据反馈信号调整风扇转速外,还能以最低能耗为目标实时调整运转风扇的数目,因此多运行模式下的模糊控制器对目标温度的跟踪能力更优,能耗更低,整个仿真过程的温度稳态误差比单运行模式平均小30.5%,风扇消耗功率比单运行模式平均降低18.8%。

关键词: 矩阵风扇, 冷却系统, 模糊控制, 联合仿真

Abstract: To enhance the efficiency of vehicle cooling system, firstly the matrix fan configuration is introduced into the traditional car cooling system, and based on which a fuzzy controller is designed. Then a co-simulation is conducted to study the effects of matrix fans with fuzzy controller on the performance of vehicle cooling system. The results indicate that under transient condition, the adoption of matrix fans with fuzzy controller can reduce the fluctuation amplitude of outlet temperature by around 76% and lower the energy consumption of fan system by 31.2%. Under the multi-mode operation of matrix fan, fuzzy controller can not only adjust the rotation speed of matrix fan according to feedback information, but also change the number of working fans with minimum energy consumption as objective, hence achieving better capability in tracking target temperature and lower energy consumption. Compared with single mode operation, the multi-mode operation has a 30.5% smaller dynamic error of temperature and an 18.8% less power consumption of fan on average

Key words: matrix fans, cooling system, fuzzy control, co-simulation

王宏朝, 单希壮, 杨志刚. 矩阵风扇冷却系统模糊控制的研究^*[J]. 汽车工程, 2020, 42(3): 345-352.

Wang Hongchao, Shan Xizhuang, Yang Zhigang. Study on Fuzzy Control of Cooling System with Matrix Fans[J]. Automotive Engineering, 2020, 42(3): 345-352.

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矩阵风扇冷却系统模糊控制的研究^*

Study on Fuzzy Control of Cooling System with Matrix Fans

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