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Simulation And Research Of An Intelligent Thermal Management System Based On Hybrid Vehicle

Posted on:2019-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:S Q MengFull Text:PDF
GTID:2392330545455232Subject:Power Engineering and Engineering Thermophysics
Abstract/Summary:PDF Full Text Request
On the perspective of circulation and heat transfer,vehicle's dynamic properties,fuel economy and Passenger thermal comfort can be effectively improved through optimizing the performance of air conditioning and heat dissipation system.The thermal performances of fuel vehicles are hard to be dramatically improved,because of the properties limitation of internal combustion engine.As the maturest new power vehicles,added with electric assemble system,compared with fuel vehicles,it is possibly to improve the thermal performances drastically.This Paper is consist of 3 Parts:the influence factors of a hybrid vehicle subsystems thermal properties in steady and transient states,the influence factors of a hybrid vehicle thermal management system properties in NEDC cycle,and the design and training of thermal management system controlling strategy.Combined with environmental experiment data,the clearances of simulation and experiment can satisfy engineering application.First,this Paper set up a 1D simulation model of a hybrid vehicle,combined with thermal balance and radiator wind tunnel experiment data,analyzes the influence factors of subsystems in steady and transient states.The results provide support of the dynamic performance of thermal management system in NEDC cycle.Second,this Paper analyzes the influence of e-fan's revolution to power thermal management system,opening curves of expansion valve to air conditioning system,arrangement forms of batteries to cell's average temperature,e-pump's revolution to mechanical efficiency and blower's volume flow to cabin's average temperature(in both cooling and heating states.The conclusion of this Part illustrates the more efficient designing direction of thermal management system,and provides sample points to controlling strategy.Finally,this Paper designs controlling strategies of e-fan,e-pump and blower based on Gradient Descent Radial Basis Function Neural Network Algorithm by Matlab.Combining with CFD analysis software,this Part shows the change of dynamic performance of thermal management system after adding controlling strategies.With the support of environmental thermal balance experiment data,it can be tell that the combining simulation of CFD software and Matlab has reliability and accuracy to improve the thermal performance of hybrid vehicles.
Keywords/Search Tags:Thermal Management, Hybrid Vehicle, Intelligent Algorithm, Controlling Strategy, Combining Simulation
PDF Full Text Request
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