Open AccessResearch on vehicle cabin temperature and thermal comfort optimal control based on fuzzy PID
Author(s) -
Changhao Piao,
Weiwei Wang,
Liu Zi-yang,
Cunxue Wu,
Yuan Ren
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/3/032039
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , thermal comfort , inertia , temperature control , air conditioning , fuzzy logic , fuzzy control system , automotive engineering , engineering , computer science , simulation , control engineering , control (management) , mechanical engineering , artificial intelligence , meteorology , physics , electrical engineering , classical mechanics
The heat load of the car compartment is complex and difficult to express with mathematical models. Therefore, this paper establishes a compartment physical model of an electric car through Amesim and simulates the heating process of the heat pump air conditioning system. Because the load of the passenger compartment of the car is complex and changeable, and the heat pump air-conditioning is a large inertia, hysteretic system. This study designs fuzzy rules and uses fuzzy PID to control the temperature of the passenger compartment. Fuzzy PID control has 1.6% less overshoot than PID control and 39 seconds less setting time. At the same time, this paper establishes a thermal comfort model of cabin temperature and humidity. It uses PMV (predicted average vote) and PDD (dissatisfied percentage) thermal comfort index to evaluate the passenger cabin’s thermal comfort. The PMV index controlled by fuzzy PID is more stable than the PMV controlled by PID.