Optimization And Control Of Automotive Air Conditioning Components And Systems Based On One-Dimensional Simulation Software

By the end of 2018,the number of private cars in China has exceeded 200 million and automobiles have become a necessity for the Chinese people.At the same time,with the promulgation of a series of policies and decrees related to environmental protection and intellectualization,as well as the entry of many emerging giants in other industries such as the Internet and real estate into the automobile manufacturing industry,the competition in the automobile industry is becoming increasingly fierce in the future.As an important part of automobile,although automobile air conditioning system can give passengers comfortable riding experiences,it will also increase the energy consumption of automobiles.Therefore,improving the degree of comfort of automobile air conditioning and reducing the energy consumption of automobile air conditioning system have become an important research direction.In this paper,genetic algorithm is used to optimize the structural parameters of the fins of condenser and evaporator in automotive air-conditioning system,with the aim that the heat transfer efficiency of the two heat exchangers can be improved while the waste of energy can be reduced.The heat exchange capacity of the optimized condenser is increased by roughly 2.5%,the air side pressure drop is reduced by about 6%,the heat exchange capacity of the optimized evaporator is increased by about 2%,and the air side pressure drop is reduced by about 2.2%.In addition,the simulation model of automobile air conditioning and passenger compartment cooling system is built and calibrated in this paper.On the one hand,it is prepared for the control optimization later,on the other hand,it also provides a model basis for enterprises to further investigate.Furthermore,in order to make temperature in the cabin quickly reduced to the comfortable temperature of human body in hot summer and keep it at that temperature,a fuzzy PID controller is added to the built air conditioning system model and PMV human comfort model to control the flow of refrigerant in the speed control system of compressor,and then control the temperature of the cabin quickly to reach and stabilize the comfortable temperature range of human.The control results show that the method can rapidly reduce the cabin temperature within 5-6 minutes and remain stable at a steady rate.Finally,in order to reduce the energy consumption of the air conditioning system under the assumption of human comfort,the control strategy of the air conditioning system is optimized by DP optimization method combined with fuzzy PID controller.Based on the results of optimization,it is proved that the temperature curve is smaller than the overshoot of the temperature curve before optimization,that is,more stable,meanwhile the results after optimization save about 4% of energy consumption,and even save about 12% of energy consumption in a part of time,at the cost of only longer the cooling periods for about 30 seconds.