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A Study On Energy Management Control Strategy For Extend Range Electric Vehicle

Posted on:2014-12-08Degree:DoctorType:Dissertation
Country:ChinaCandidate:J GuFull Text:PDF
GTID:1262330425960444Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
With car ownership increasing, the problems of energy crisis and environment pollution havebecome outstanding day by day. Under this background, hybrid electric vehicles which havecharacteristics of low fuel consumption, low emission while maintaining long driving range, andreasonable prices like traditional vehicles have become hot researches currently at home and abroad.The different structures of hybrid electric vehicles have different performances. Among thesestructures, Extended Range Electric Vehicle (EREV) have advantages of that long driving range inpure electric modes, and can increase the driving range with fuel power, which become a keyresearch direction in the field of hybrid electric vehicle research. This paper focus on the researchof EREV energy management control strategies under the background of EREV energymanagement control systems research which is a sub-topic of EREV research in new energyautomobile engineering research institute of Hefei university of technology.This paper research energy management control strategies of EREV according to the sequenceof that:"vehicle performances demandenergy management control strategies designexperimental verification." The main work are as follows:Power system parameter matching method is proposed according the design requirements ofEREV. The key performance parameters of each components of the power system are obtained bycalculating, provided the basis for follow-up research of the specific energy management controlstrategies. The software and hardware projects of the energy management control system areestablished. Hardware input and output signals are researched. The software functions needed toachieved are defined, and Control Area Network (CAN) bus control system is designed. Thesework provide design inputs for vehicle control strategies. At the same time energy managementcontrol principle is researched, and the contents of energy management control strategies aredetermined.A ’recognize strategy of vehicle demanded torque is proposed according to drivers operating.A f’uzzy control system based on drivers intention for recognizing the demanded torque of tractionmotor is built according to the principle of fuzzy control. A simulation model is built for thiscontrol system in Matlab/simulink, the simulation experiment is completed.In order to make vehicle have good brake energy regeneration ability without changing thetraditional braking system, a parallel brake energy regeneration strategy based on road recognitionis proposed. By analyzing the drive characteristic of EREV, a method of typical road recognition isproposed, and electric braking force distribution strategies of various typical road conditions are designed. Simulation model of this strategy is built in Matlab/simulink, to have the simulationexperiment of brake energy regeneration effects.In order to make the engine of EREV have lower fuel consumption, Instantaneous EquivalentConsumption Minimization Strategy(ECMS) is researched. Against the problems of that ECMS ishard to use in real vehicle, and other generator group control strategies used in real vehicle in the’past cant make vehicle achieve good fuel economy, a fuzzy control strategy for generator groupoperating points is proposed. This strategy can control operating points of generator group toswitch between some limited operating points which are very efficient followed the vehicle demandpower, to make the vehicle have good fuel economy. Simulation model of ECMS and fuzzy controlstrategy are built in Matlab/simulink, to have the simulation experiment of their control effects.Last, the vehicle performances meet the design requirements are proved by experiments ofcruise simulation and real vehicle test on chassis test bench. The reliability of energy managementcontrol unit is tested on Hardware In the Loop (HIL) test bench. And the effects of energymanagement control strategies are verified from real vehicle road experiment.
Keywords/Search Tags:Extended Range Electric Vehicle, energy management control strategy, fuzzy control, demanded torque recognize, brake energy regeneration, generator group operating points control
PDF Full Text Request
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