Developing a Vehicle Thermal Management System with Fuzzy Control Method
作者： Zheming Tong , Wenjun Shi , Shuiguang Tong , Yue Li
DOI: 10.1007/978-981-13-8779-1_58
关键词: Nonlinear system 、 Fuzzy logic 、 Thermal comfort 、 Process (computing) 、 Fuzzy control system 、 Control theory 、 Efficient energy use 、 Thermal 、 Computer science 、 Automotive engineering
摘要: Vehicle thermal management system is expected to increase in-cabin comfortableness in an energy-efficient way. Generally, the operates provide desired comfort temperature under different driving conditions and ambient environmental conditions. In our study, simulations of air-conditioning are performed demonstrate nonlinear dynamic process in-vehicle variation. Then, was optimized by using a fuzzy controller order improve its performance energy efficiency. Results show that developed based on control method efficient for vehicle management.
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sci-hub.st 参考文章(23)
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