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Energy Management Vehicle AC Seminar Report



Air conditioning systems (A/C) can be considered the main auxiliary load on a vehicle engine when it is operating. A/C systems increase the energy consumption of a vehicle and negatively influence its performance. This paper presents an intelligent energy management system that is able to reduce the energy consumption of vehicle and improve its efficiency by using the look-ahead system uses information from various information systems to make intelligent decisions. The new energy management system features: a prediction of road power demand by using look-ahead control of vehicle systems, an intelligent control strategy to manage the operation of the A/C, the blower, and the gates, to provide the optimum comfort temperature with the consideration of the in cabin air quality while minimizing energy consumption. Two simulations are performed by using the developed fuzzy air conditioning enhanced look ahead System and ordinary fuzzy air conditioning and then the results are compared together with the results from Coordinated Energy Management System (CEMS). The results of fuzzy air conditioning enhanced with look-ahead system demonstrate it is capable of saving 12% and 3% more energy comparing with CEMS and ordinary fuzzy air conditioning system respectively.

Air conditioning systems (A/C) can be considered as the main auxiliary load on a vehicle engine when it is operating. A/C system significantly increases the energy consumption of a vehicle and negatively influences its performance. According to a study by the National Renewable Energy Laboratory, the United States uses 26.4 billion liters of fuel per year to operate light-duty vehicle A/C systems. This is equivalent to 5.5% of the total light-duty vehicle fuel use in this country. The mechanical compressor of an A/C system could increase the fuel consumption of the vehicle by 12-17% for subcompact to mid-size vehicles. The general considerations for air conditioning design should include such factors as cabin indoor air quality and thermal comfort, ambient temperatures and humidity, the operational environment of components, vehicle and engine parameters, electrical power consumption, cooling capacity, number of occupants, insulation, solar effect, vehicle usage profile, and so on. In recent years, extensive studies have been carried out on various aspects of vehicle air conditioning systems and of management of energy utilization. These efforts have resulted in further improvements in the efficiency of the air conditioning system. The control of ventilation and A/C is a difficult problem because even the simplest A/C models are multi-variable and nonlinear. Furthermore, these systems are acted upon by multiple uncertain disturbances. Several methods have been developed to control A/C in vehicles. These methods include: PID and Fuzzy controller. Using classical PID controllers, it is very difficult to design nonlinear and complex systems. One recent PID control approach has been investigated by Khayyam et al. They presented a coordinated energy management system (CEMS) to reduce the energy consumption of the vehicle air conditioning system while maintaining the thermal comfort. The system coordinates and manages the operation of A/C, blower, and fresh air and recirculation gates to provide the desired comfort temperature and indoor air quality, under the various ambient and vehicle conditions, the energy consumption can then be optimized.







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