| Through its charging device,the Extended-Range Electric Vehicle(E-REV)can get electricenergy from power grid.In addition,it is energy-saving and emission-reduction.Based on these merits,E-REV has become an alternative development and research direction of clean energy vehicles.By using the methods of theoretical analysis as well as computer simulation,the dissertation has studied the energy control strategy of series E-REV in depth.Its research route is as follows: power train parameters matching design – system modeling – energy control strategy development – hardware-in-the-loop simulation.According to the fact that the E-REV can not only use the external power grid to charge it,but also has a large capacity of battery and two working states of pure electricity and extended range,the structure of the power system of the series E-REV is analyzed based on these characteristics.At the same time,the parameter matching calculation of key parts is carried out,and the power performance simulation results verified the feasibility and the rationality of the method.The model of EPV is built in AVL Cruise by combining theoretical and experimental modeling.Then the strategy model is built in the environment of MATLAB/Simulink,and the corresponding dynamic link library is embedded in the vehicle model of AVL Cruise.According to the design requirements of E-REV control strategy,this paper designs two regular E-REV energy control strategies.Aiming at the characteristics of random and uncertain driving conditions,an E-REV fuzzy energy control strategy is proposed.After simulation,the results show that the strategy not only has good robustness,but also has good versatility.In addition,it can also achieve the control objectives set in advance and get better fuel economy.The software and hardware system of the real E-REV vehicle control unit(VCU)is designed and developed.Combined the self-designed VCU with d-SPACE simulator and Control Desk tool software,a hardware-in-the-loop(HIL)simulation platform based on Cruise model is built.The experimental results are in good agreement with off-line simulation,which shows that off-line simulation can provide strategy verification for the pre-control strategy of hardware-in-the-loop simulation test.Moreover,the HIL experiment for energy control strategy is carried out using typical driving cycles.As the simulation experiment results shown,every energy control strategy can run normally in accordance with the predefined control rules in the real-time environment and meet its requirement.Especially for the HIL experiment using table lookup algorithm to achieve the optimum curve of fuzzy logic control strategy,which the control effect is preferable and it is worth spreading in practical engineering. |