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Research On Temperature Control And Air Conditioning Energy Optimization Of Electric Refrigerator

Posted on:2020-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y Z XiaFull Text:PDF
GTID:2392330620462284Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the country and society,the requirement of the quality and quantity of food and medicine is increasing day by day,and people's demand for refrigerated transportation and storage is also increasing day by day.However,environmental pollution and exhaustion of natural resources limit the development of refrigerated transportation industry.In recent years,the concept of new energy with electric power as the main energy source has been innovatively put forward by the state.Electric refrigerated vehicles with electric power as the core energy source are becoming a trend.In the electric refrigeration system,how to ensure the refrigeration effect,ensure accurate and fast temperature control,and reduce unnecessary energy consumption has become an important research direction.In this paper,the system energy consumption model and refrigeration temperature model of refrigerated vehicle are analyzed and studied.The specific work is as follows:(1)Aiming at the problems caused by the waste of energy consumption and the inadequate temperature control during the operation of refrigerated trucks,the structure of refrigerated trucks and the main methods of temperature control of refrigerated trucks are analyzed and studied.The problems of transportation cost increase caused by the inaccurate and timely temperature control in the application of refrigerated trucks,the arbitrariness of refrigerated air conditioning operation parameters and the waste of energy caused by irrationality are analyzed and studied.Research status of air conditioning energy saving for comprehensive refrigerated vehicle.The operating mechanism and working principle of refrigeration environment are analyzed.According to the refrigeration principle of refrigerated vehicle air conditioning and the relationship between power consumption and refrigeration capacity,the control model of refrigerated vehicle and the energy consumption model of refrigerated vehicle air conditioning are established.(2)Based on the heat exchange balance inside and outside the refrigerated car,the temperature change model of the refrigerated car is established.According to the influencing factors of air-conditioning energy consumption of refrigerated trucks and related references,the refrigeration capacity and energy consumption model of airconditioning are established.In view of the fact that the commonly used fuzzy temperature control rules are too simple and some variables need to be set manually,this paper adopts an improved moth flame algorithm to optimize the fuzzy temperature control algorithm.Based on the improved fuzzy control algorithm,the temperature model of refrigerated truck is controlled.By analyzing the control results of the refrigerated car temperature in two different operating states of cooling and insulation,and comparing with the traditional fuzzy temperature control results,the effectiveness of the improved fuzzy control algorithm in the refrigerated car temperature control is verified.(3)Based on the optimized fuzzy control results,the precise refrigeration capacity required for car thermal insulation is obtained.With the refrigeration capacity required for car thermal insulation as the constraint condition,the operation parameters of air conditioning are optimized to achieve the purpose of reducing energy consumption.Aiming at the problem that particle swarm optimization(PSO)algorithm is easy to fall into local optimum connection in the optimization process,this paper adopts an improved PSO algorithm to optimize the operation parameters and energy consumption of the system,and compares the results with those of the optimization methods in the references to verify the effectiveness of the algorithm.(4)Complete the air conditioning control system of electric refrigerated vehicle.
Keywords/Search Tags:cooling capacity, system energy consumption, temperature control, moth flame algorithm, particle swarm optimization
PDF Full Text Request
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