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Simulation Study On Control Strategy Of Extended-Range Electric Vehicle

Posted on:2018-08-26Degree:MasterType:Thesis
Country:ChinaCandidate:H ShenFull Text:PDF
GTID:2322330512478096Subject:Power Machinery and Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the rapid development of the automobile industry the global environmental pollution and energy crisis is increasingly serious.Developing new energy vehicles to replace traditional fuel vehicles has been an irreversible inevitable trend.Among many new-energy vehicles electric vehicle is the most promising model.But it is difficult to significantly improve the mileage of electric vehicle in a short time,people's transportation need can not be met.However,the shortcoming of short mileage can be overcome in extended-range electric vehicle.In the meanwhile extended-range electric vehicle has the advantages of electric vehicle.Extended-range electric vehicle is considered to be the most reasonable transition from traditional vehicle to electric vehicle.There is great significance to research energy management control strategy for promoting the market process of extended-range electric vehicle.With reasonable energy management control strategy the emission can be reduced and the mileage can be increasedThis paper was based on the project of energy consumption evaluation and optimization study of E-REV considering CO2 emission,which was funded by Provincial Natural Science.With co-simulation of Cruise and Matlab/Simulink,the research on parameter matching of powertrain,system modeling and energy management control strategy was carried out.The main contents were summarized as following:Combining with actual products of extended-range electric vehicle,the parameters and performance requirements of the dynamic system were put forward.After the comparison of the advantages and disadvantages among optional products,the main components of the dynamic system were selected.Then key parameters of these components were matched via theoretical calculation,which provide the basis for the formulation of control strategy and simulation of vehicle model.Based on the driving mode of extended-range electric vehicle,the control of main component was analyzed.Control strategy for drive motor,engine and power battery was designed.A second-order sliding mode controller was designed for switching control of the engine speed in the extender.In Cruise a forward simulation model of vehicle was built by entering characteristic parameters of motor,power battery and engine.The control mode was built in Matlab/Simulink.The vehicle model and the control model were integrated by using the Matlab-DLL module in Cruise.Then climbing performance calculation,constant drive calculation,full load acceleration calculation and cycle run calculation under cruise conditions and NEDC conditions were simulated.The results showed that the vehicle can meet the designed dynamic requirements and economic requirements.To verify the effectiveness of the designed control strategy,the simulation with multi-point control strategy,constant power strategy and different initial value of SOC were carried out.In order to further improve the economic performance of the vehicle,the Isight software was used to optimize the engine speed.100 km fuel consumption and pure power generation in extended-range mode were set as optimization function.Finally,the simulation results before and after the parameters optimization were compared.
Keywords/Search Tags:Extended-range electric vehicle, parameters matching, control strategy, multi-objective optimization
PDF Full Text Request
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