Research On Paramerer Matching And Control Strategy Of Plug-in Coaxial Parallel Hybrid Power System

At present,with the rapid development of the world economy,the internal combustion engine vehicles have entered every household.A large amount of automobile exhaust also has an important impact on human development,health and life.Countries around the world have re-emphasized the research and development of clean energy fuels and zero-emission new energy vehicles.The development of new energy vehicles is of great practical and strategic significance for China's current problems such as high dependence on foreign oil resources,increasingly strict emission requirements and environmental pollution.Plug-in hybrid vehicle can not only make up for the shortcomings of the pure electric vehicle's cruising range,but also inherit the advantages of the traditional hybrid vehicle.It is a more reasonable new development approach for new energy vehicles.Parameter matching and control strategy selection between different power sources of plug-in hybrid electric vehicles is one of the key technologies of hybrid electric vehicles.This paper based on the plug-in hybrid light truck parameters matching of key components of the power train,the control strategy formulation,and the optimization of the transmission system speed ratio are studied.The main research contents are as follows:According to the characteristics of the respective models and hybrid systems selected in this paper,the coaxial parallel structure is determined as the structural arrangement of the power system of this paper.The vehicleperformance index is used as the design index,the parameter matching of the key components of the powertrain is carried out.Then,with considering the structural characteristics,working process and energy flow mode of coaxial parallel hybrid system,fuzzy control torque distribution strategy based on recognition of driving intention is proposed.Joint simulation analysis is carried out by using MATLAB and CRUISE.The control strategy model is built in the MATLAB/SIMULINK/Stateflow environment,the original car model and the modified plug-in hybrid electric vehicle model were built in the CRUISE environment,and the dynamics and economy simulations were carried out separately.The results show that the dynamics and economy meet the vehicle performance design index.Finally,set the power performance index as the constraint condition and the comprehensive equivalent fuel consumption of 100 km as the optimization target,use the matrix operation of CRUISE computing center to optimize the transmission ratio,and The results show that the optimized comprehensive equivalent fuel consumption of 100 km decreased by 1.4%.The optimization result is more obvious.