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실험 데이터를 사용한 자동차 CO₂ 냉방시스템의 제어알고리즘 개발
한도영(Doyoung Han),장경창(Kyungchang Jang) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.6
In order to protect the environment from the refrigerant pollution, the CO₂ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a CO₂ system should be different because of CO₂'s unique properties as a refrigerant. Especially, the high-side pressure of a CO₂ system should be controlled for the effective operation of the system. In this study, dynamic models of a CO₂ air-conditioning system were developed by using experimental data. Control algorithms for a high-side pressure control and an indoor air temperature control were developed and analysed by using the dynamic simulation program of a CO₂ system.
한도영(Doyoung Han),장경창(Kyungchang Jang) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.11
In order to protect the environment from the refrigerant pollution, the CO₂ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a CO₂ system should be different because of CO₂'s unique properties as a refrigerant. Especially, the high-side pressure of a CO₂ system should be controlled for the effective operation of the system. In this study, the Lagrange interpolation algorithm was developed for the high-side pressure setpoint and compared with the neural network algorithm. The effectiveness of the Lagrange interpolation algorithm was verified by using a dynamic simulation program.
한도영(Doyoung Han),장경창(Kyungchang Jang) 한국자동차공학회 2006 한국 자동차공학회논문집 Vol.14 No.4
In the respect of the environmental protection viewpoint, CO₂ may be one of the most attractive alternative refrigerants for an automotive air-conditioning system. For the development of control algorithm of a CO₂ automotive air-conditioning system, characteristics of a CO₂ refrigerant should be considered. The high-side pressure of a CO₂ system should be controlled in order to improve the system efficiency. In this study, dynamic physical models of a CO₂ system were developed and dynamic behaviors of the system were predicted by using these models. Control algorithms of a CO₂ system were also developed and the effectiveness of these algorithm was verified by using dynamic models.