원문정보
초록
영어
A 20 t parallel hybrid excavator was applied as the research object in the research. To optimize the fuel economy of the engine and maintain the balanced electric quantity of power batteries simultaneously, a fuzzy logic based strategy was proposed to control the power train of the 20t parallel hybrid excavator. The torque required by the system and the state of charge (SOC) of the capacitor were regarded as the input parameters, while the power partition coefficient K was regarded as the output parameter to design the fuzzy logic controller, so as to optimize the power output of the engine and the motor. The simulation and bench test results demonstrated that the proposed fuzzy logic based control strategy can maintain the balanced electric quantity of the capacitor while controlling the engine to be operated at the optimal output power. Meanwhile, after being optimized by the fuzzy logic, the engine reduced the fuel consumption by 8.06%. Therefore, it is concluded that this strategy is applicable to parallel hybrid excavators, accompanying with significant energy saving effect.
목차
1. Introduction
2. The Fuzzy Logic based Control Strategy
2.1 The System Structure of the Parallel Hybrid Excavator
2.2 The Optimal Working Curve of the Engine
2.3 The Control Strategy based on Fuzzy Logic
3. System Modeling
3.1 Engine Model
3.2 The Model of the ISG Motor
3.3 The Model of the Super Capacitor
4. Simulation and Experimental Study
4.1 Simulation Verification
4.2 Experimental Study
5. Conclusion
Acknowledgment
References