Research On Control Strategy For The Plug-in Hybrid Electric Vehicle Based On Driving Intention Identification

With the increasingly serious of environmental pollution problems and shortages of the world’s oil resources, environmental protection and energy saving has become the development direction of modern automotive technology. PHEV came into being. PHEV can work like pure electric vehicle with zero-emission, in addition, it can also make up for the limited driving range, as we all know the shortcoming of pure electric vehicle. Therefore, the study of PHEV has a great significance to the automotive technology.This paper focuses a 4WD PHEV as study object, mainly designed the control strategy of the vehicle and carried out the simulation.Firstly, based on fuzzy recognition theory, set the accelerate/brake pedal travel, acceleration/brake pedal travel rate, velocity, acceleration and other parameters as the identification parameters, designed fuzzy inference rules, then established the driver’s intention identification model based on Matlab/Simulink and carried out offline simulation. Simulation results showed that the driver’s intention identification model can accurately identify the driver’s intention.Secondly, based on the logic threshold control strategy, considering driver’ intention, designed control strategy based on driving intention identification, and established the mode switch model using Matlab/Simulink/Stateflow, then established the control strategy model in Matlab/Simulink. Established four-wheel drive plug-in hybrid vehicle model in AVL_Cruise, then simulation was carried out with Matlab/Simulink and AVL_Cruise. The simulation results showed that:the operating mode can be switched according to the control strategy, the torque output is stable without frequent mode switching phenomenon, indicating that the vehicle control strategy is reasonable and effective.Finally, optimization of the control strategy parameters was carried out combined with Isight, after the optimization the fuel consumption per hundred kilometers was reduced by 4.5%, fuel economy improved, but still higher than the average fuel consumption of traditional vehicles, so long time under low SOC should be avoided.