Abstract

A real vehicle seat was modified in order to locate evaporator coils extended from a vehicle air conditioner system just beneath the back and cushion surfaces. The seat back and cushion surface temperatures were measured by several thermocouples. Air conditioner system was operated in heat pump and cooling modes for different compressor speeds. After steady operation of the air conditioner was attained, a live manikin sat to the seat and remained in sitting position for five minutes. The temperatures were recorded during the existence of the manikin and they were recorded for an additional five minutes after the manikin left the seat. The coils embedded under the seat surfaces were made of flexible hoses for the sake of usage due to the shape changing seat surfaces under the load of the manikin weight. Coils were in parallel configuration by the help of a distributer and collector. The temperatures of the seat surfaces were evaluated in respect of the thermal comfort and feasibility of the application. Air conditioner system was also monitored in respect of the COP and energy consumption values. At the instance of sitting, the transient response of the system is very significant due to the weight of the live manikin. However it settles quickly. Cooling was observed to be more realizable while heating seat surfaces had problems due to flow blockage. There were no significant discomfort issues due to the seat surface temperatures and the existence of the coils. The surface temperatures of the seat back exhibited differences from the seat cushion although the formations were same. The orientation of the coils and the weight of the passenger were concluded to be the reason for that. COP was found to be changing between 3 and 3.56 for cooling mode while the highest amount was found for 600 rev/min compressor speed in cooling operation. Heat pump operation had relatively higher COP values ranging between 3.31-3.64. 700 rev/min compressor speed gave the 3.64 COP value for heat pump operation. The difference between COP values of the working modes was concluded to be due to the seat coils and their effect on the additional pumping work. The potential of the application and possible field of studies were evaluated according to the conducted tests and the survey about the topic.

Highlights

  • Vehicle passenger comfort is both a commercial and a health issue

  • The new field is machine learning and control for taking or reducing the responsibility of passenger to arrange the proper conditions for thermal comfort in a vehicle cabin

  • The main aim is to see the system response to the passenger when he/she sits on the seat, the change of temperatures in time, the distribution of the temperatures according to the location on the seat, the operation of the air conditioner system while the cabin side heat exchanger is modified to extend towards the seat, the applicability of flexible hoses as heat exchanger coils embedded under seat surfaces

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Summary

Introduction

Vehicle passenger comfort is both a commercial and a health issue. By the passing time, human needs are changing due to the life style that is experienced and past luxuries become necessities. To aid machine learning systems, mathematical models and correlations should be investigated for thermal management tools such as air conditioner coils embedded under seat surfaces. According to the conducted literature survey, two way usage (heating and cooling) of heat exchangers coils of a vehicle air conditioner system embedded into car seat have not been encountered as an experimental work. The main aim is to see the system response to the passenger when he/she sits on the seat, the change of temperatures in time, the distribution of the temperatures according to the location on the seat, the operation of the air conditioner system while the cabin side heat exchanger is modified to extend towards the seat, the applicability of flexible hoses as heat exchanger coils embedded under seat surfaces. Remarks and propositions are presented in the conclusion section

Experimental equipment and procedure
Data reduction
Uncertainty of the measurements and data
Results
Conclusion
Full Text
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