Simulation Research On Control Strategy Of Hybrid Electric Vehicle Based On AMESim-simulink

With the progress of the society, the environmental pollution and the shortage of petroleum resources has become the most concern for human beings, and is also an important factor affecting the sustainable development of the automotive industry. In today’s increasingly stringent emission regulations, the vehicle emission performance and as an important vehicle performance, has become a research hotspot in the field of automobile. Hybrid power system and its energy management strategy is to improve vehicle dynamic performance, fuel economy and emission performance and the formation of a new technical means, to solve the vehicle fuel economy and emissions from large areas have important practical significance.Heavy truck plays an important role in the field of transportation, construction machinery and military affairs, but in China, there are few related researches and reports. In view of this situation, this paper to large oil electrohydraulic ternary hybrid truck as the research object, trying to hybrid electric vehicle power performance, economic performance and emission performance is improved by optimizing the control, and by AMESim-Simulink co-simulation to simulate the control process and effect, so as to improve the control system.Based on the summarization of the system structure and working mode of the existing hybrid electric vehicles, as well as of the research achievements of the electric hybrid system and the hydraulic hybrid system, a more advanced working mode of oil electro-hydraulic ternary hybrid system is developed, in which the simulation model of vehicle’s dynamics is established and the dynamic parameters of vehicle’s various components are matched through the software of AMESim.According to the working mode of the oil electro-hydraulic ternary hybrid system, the logical threshold control strategy and the fuzzy control strategy are set, and a stimulation analysis and comparison of these two kinds of rule-based control strategies are conducted. Then, the strategy of this system’s energy management is optimized based on the model predictive control algorithm, and the model of optimization control algorithm is set up on the simulink.By creating S-function, the systemic dynamics model under the AMESim is docked with the control strategy model under the simulink, which makes the information interaction between them realized. And jointly these two models will carry out a simulation analysis of the dynamic performance, fuel economy and emission performance of the vehicle.