Simulation Research On Power System And Energy Management Strategy Of Plug-in Hybrid Bus

Since the 21 st century,as people pay attention to the oil crisis and environmental protection,new energy vehicles have gradually become the focus of the development of the automobile industry in various countries.Plug-in hybrid buses as public transport have played a huge role in energy saving and emission reduction.However,different configurations of power systems and energy management strategies have a great impact on the performance of vehicles,A power system and energy management strategy for a plug-in hybrid bus are studied in this paper.Firstly,three kinds of hybrid system are studied in this paper,which are series,parallel and hybrid,and selects The dual-motor series-parallel(hybrid)P13 structure as the research object;Then completed the selection and parameter matching of the plug-in hybrid bus power system,determined the main parameters of the engine,ISG motor,drive motor,power battery and transmission system.Secondly,the energy flow in different modes of the dual-motor series-parallel hybrid bus is analyzed.Under the MATLAB/Simulink simulation environment,multiple variables such as SOC,vehicle speed,and required power are used as reference thresholds to design and build a logic-based threshold energy management strategy;and fuzzy control is used to solve the problem of frequent switching of working modes and Optimize engine torque output,Two fuzzy controllers for mode switching and engine control are designed,and an energy management strategy based on fuzzy control is built.Finally,the Amesim software was used to build a vehicle model based on the results of the power system parameter matching,and the simulation of the vehicle power system model and energy management strategy designed by Amesim and Simulink verified that it could meet the driving needs and achieve a good control effect,The fuzzy controller solved the shortcomings in the original strategy better.Through the dynamic and economic simulation test of the model,the results show that the dynamic performance under the two energy management strategies can meet the design index requirements,and the energy consumption can be saved by 18.6%-27.44% compared with the traditional bus,And the energy management strategy based on fuzzy control is more economical.