| Hybrid electric vehicle(HEV),which combines the advantages of both traditional and pure electric vehicles,is one of the effective methods to deal with the problem of energy and improve the environment.At the same time,the design of vehicle dynamic parameters and control strategy is an important factor affecting the performance of hybrid electric vehicle.Good power system parameter matching and excellent control strategy designed to maximize the power performance,enhance vehicle economy.In this paper,a gas electric hybrid city bus is taken as the research object,and the parameters of the engine and the control parameters are optimized.The concrete work is as follows.First,based on the parameters of an existing hybrid bus,the GT-POWER software is used to build the model of the natural gas engine,and the accuracy of the model is verified by the test data.The simulation models of the motor,the battery,the gearbox,the final drive and the vehicle dynamics are established by MATLAB/Simulink.At the same time,established a coupling model of Simulink vehicle model and GT-POWER engine model.Secondly,combined with the simulation system of hybrid bus,the genetic algorithm program is compiled by MATLAB,and the optimization platform based on MATLAB/Simulink/GT-POWER is established.Under the premise of ensuring the vehicle dynamic performance,the optimization of the valve timing and the control strategy parameters of the natural gas engine is carried out.And the parameters before and after optimization are simulated and verified.The results show that the vehicle economy is improved obviously after optimization.Finally,based on off-line simulation,the hardware in the loop test system of hybrid electric bus based on dSPACE platform is established,and the real-time simulation in chinese city bus cycle(CCBC)is carried out.And the test results of the hardware in the loop are analyzed to verify the accuracy of the vehicle model and control strategy model. |
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