Research on Economic Shift Strategy of Pure Electric Vehicle Based on Fuzzy Control
Aiming at the frequent shifting problem of a pure electric vehicle under the traditional shifting strategy,based on the research of AMT traditional shift control strategy,fuzzy control is used to identify the driver's intention with the accelerator pedal opening and the rate of change of the accelerator pedal opening,and then the gear shift strategy is formulated based on the driver's intention and vehicle speed.The shift simulation model of AMT based on traditional shift strategy and fuzzy control driver intention recognition is established.Through the comparison of simulation results,the effectiveness of the shift strategy based on fuzzy control driver intention recognition is verified.The result shows that:compared with the traditional shift strategy,the shift strategy with fuzzy driving intention identification reduces the shift times and improves the economy slightly.
Pure Electric VehicleAMTFuzzy ControlDriving Intention RecognitionEconomyShift Strategy
NETL
NSTL
万方数据
维普
