Fuzzy-Logic-Based Torque Control and Simulation for Parallel-Type Hybrid Vehicle
Yuling Li
Abstract
Yuling Li
Abstract
There is a power coupling and separating process between ICE and motor in the parallel-type hybrid vehicle, and the energy management strategy is comparatively complex. To further distribute the power output of the ICE and motor reasonably and improve the robust of energy management strategy on PHEV, the insufficiency of electric-assisted control is analyzed and the torque management strategy including driver's torque identification and the power balance controller of the battery based on fuzzy logic control for parallel-type hybrid vehicle is put forward. The module simulation of the fuzzy logic torque control is completed by using the mimic environment of ADVISOR2002.The result shows that the fuzzy logic control strategy can meet the control objectives and also improve the dynamic, fuel economy and emission, and can further promote the power charging and discharging balance of the battery.
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There is a power coupling and separating process between ICE and motor in the parallel-type hybrid vehicle, and the energy management strategy is comparatively complex. To further distribute the power output of the ICE and motor reasonably and improve the robust of energy management strategy on PHEV, the insufficiency of electric-assisted control is analyzed and the torque management strategy including driver's torque identification and the power balance controller of the battery based on fuzzy logic control for parallel-type hybrid vehicle is put forward. The module simulation of the fuzzy logic torque control is completed by using the mimic environment of ADVISOR2002.The result shows that the fuzzy logic control strategy can meet the control objectives and also improve the dynamic, fuel economy and emission, and can further promote the power charging and discharging balance of the battery.
Key concepts: Fuzzy logic, Torque, Control theory (sociology), Control engineering, Controller (irrigation), Power (physics), Fuzzy control system, Engineering