Hardware-In-the-Loop Simulation Of HEV Control Strategies

With the increasing pressure of energy and environment,the national emission requirements for traditional fuel vehicles are becoming higher and higher,and the support for new energy policies continues to increase.Major car companies have also invested in the research of new energy vehicles.However,the battery capacity is limited.The density of infrastructure such as charging piles is not up to the requirement,and the capacity of the pure electric vehicle cannot fully meet the requirements.But the hybrid vehicle is somewhere between the two,it is a good way to make the transition to a pure electric vehicle.In response to China's proposed 2020 fuel consumption of 100 kilometers per 100 kilometers,major car companies have invested in the research of hybrid electric power.The power of hybrid vehicles is derived from more than two kinds of power mechanisms.Its structure is relatively complex,so a good energy management strategy is important.The vehicle controller is the core of hybrid power.The purpose of the controller is to distribute the driver's torque to the motor and engine reasonably,coordinate the reasonable operation of the components,reduce the fuel consumption and meet the requirements of driving performance.The subject of this project is the single-axis parallel P2 hybrid system structure.The cost of this structure is low,and it has simple layout and better regenerative braking capability.But the clutch system is more complex.The main task of this paper is to analyze the structure and control strategy of the current hybrid electric vehicle,use the bench test and extract the parameters of the parts,model the key parts with MATLAB/Simulink,establish the vehicle model,the engine model,the model of the motor,the battery model,the automatic variable number model and the driver model.As the vehicle driving is a certain risky activity,the control strategy must be real-time and robust.Based on the component parameters,the fuzzy logic control strategy is put forward according to the engineering experience.The logic threshold control is adopted in the low-speed and high-torque demand of the engine.Using fuzzy control,reasonable allocation of torque,and combined with the second chapters of the subsystem model,the model simulation analysis is carried out under specific conditions,and the results conform to the control strategy.Model simulation is at a distance from the real environment.In order to better verify the effectiveness and practicability of the strategy,hardware in the loop simulation is necessary.Based on the Labcar system of Etas,after configuring the hardware board resources,loading the model,and configuring the virtual controller node,this paper will control the model to generate C code and downloads it to the real-time processor for hardware-in-the-loop simulation.All the signal states can be viewed through the host computer interface.The results show that the simulation results of the model and the hardware-in-the-loop simulation are basically the same.The pure electric mileage reaches 60 km,the fuel consumption of 3.3L/100 km,and the fuel consumption of the engine alone for a hundred kilometers is 6.2L.It is proved that the control law adopted in this paper meets the requirement of designing.