Simulation of Performance Optimization Control about Transcritical CO2 Automotive Air Conditioning System

Abstract

Abstract: According to the researching data of certain corporate, a semi-theoretical model of the transcritical CO₂ automotive air conditioning system was established using AMESim Software. The research was carried out successively from the aspects of thermodynamics, system performance analysis and optimal control, in order to ensure that the coefficient of performance (COP) reached its maximum. According to the results of exergy loss analysis and performance analysis, the fuzzy PID controller was designed. Under the interference of the ambient temperature change, the controller could control high pressure to ensure COP reach its maximum. The comparison with the well-tuning PID controller shows that the fuzzy PID controller has great improvement in some control performance indicators such as overshoot, settling time and motion range of the implementing agencies, etc.

Key words: automotive air conditions, CO₂, coefficient of performance (COP), fuzzy control

CLC Number:

U463.85+1

Zhao Jinghua, Tao Jing, Xie Fangxi, Zhao Kainan. Simulation of Performance Optimization Control about Transcritical CO₂ Automotive Air Conditioning System[J]. Journal of System Simulation, 2016, 28(2): 492-497.

References 13

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Simulation of Performance Optimization Control about Transcritical CO₂ Automotive Air Conditioning System

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