Research On The Shift Schedules For Hybrid Electric Vehicle Based On Driver Intention Recognition

With the shortage of the oil resources and the environmental pollution, the firsttask we have to face is energy conservation and emission reduction. As the model offuel-efficient car, the hybrid electric vehicle has gradually come into the public viewand develop fast in recent years. The hybrid vehicle is a synthetic system which worksefficiently and combines several kinds of energy. It can only work in high-efficientstate when the hybrid electric vehicle equip the automatic transmission. The shiftschedules influence the vehicle performance and fuel economy directly as the coretechnology of the automatic transmission. Because the construction, the operatingprinciple and the control strategy of the hybrid vehicle is different from traditionalvehicles. With the development of the vehicle intelligentialize, the shift schedulescontrol strategy of automatic transmission has become a research hotspot. So thestudies of hybrid vehicle shift schedule control strategy is significant.The driver intention recognition and the hybrid vehicle shift schedule controlstrategy will be discussed synthetically in this paper as follow:1. The hybrid vehicle shift schedule control strategy was discussed in detail inthis paper. The engine and motor output torque curve under different throttle openingwas shown in different hybrid vehicle working mode, combining the vehicle torquedistribution strategy and the calculation of the driver torque demand.2.The shift schedule control parameters were confirmed, and the combined fuelcycleQT was calculated in different vehicle working mode while the vehicle torquedistribution was considered in this paper. The hybrid vehicle optimal economic shiftschedule and optimal dynamic shift schedule was solved while the traditional vehicleoptimal economic shift schedule and optimal dynamic shift schedule was referenced.3.The driver’s driving style and driver intention was recognized based on thefuzzy logic recognition method. According to the different driver demand to thevehicle dynamic performance and economical efficiency, the driving style wasdivided into economical style and performance style; based on the different degree ofemergency while accelerating or braking, the driver acceleration intention was divided into smooth acceleration intention, normal acceleration intention and urgencyacceleration intention, the driver brake intention was divided into normal brakeintention and urgency brake intention. The recognition model of driver’s driving styleand driver intention was build in MATLAB/Simulink software.4.The hybrid vehicle shift schedule control strategy was formulated based on therecognition of driver intention, detailed vehicle model and vehicle control strategywas separately build in AVL/Cruise and MATLAB/Simulink, and the model wasco-simulated in Cruise and MATLAB. The feasibility and effectiveness of the shiftschedule control strategy based on the shift schedule control strategy was verifiedthrough the comparison of the simulation data under different driving cycles.