Research on ADVISOR-Based Fuzzy Logic Control Strategy for HEV Vehicles
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Jiang chaoyu, Shen lizhon, Yang xueping
In order to study the influence of control strategy on the performance of parallel hybrid electric vehicle (HEV), the input membership function is the current motor speed, the difference of engine optimal torque and the SOC of battery charge state, and the real-time output torque factor K is taken as the output membership function. A fuzzy logic control strategy is proposed. The fuzzy logic control strategy module is embedded in the ADVISOR software to study the difference between the Electro-assisted control strategy. The results show that the fuzzy logic control strategy is better than the Electro-assisted control strategy in economy, emission, transmission efficiency, battery SOC life and stability. In dynamics, the fuzzy logic control strategy has stronger climbing ability, and the Electro-assisted control strategy has better acceleration ability.
HEV, fuzzy logic control, ADVISOR, simulation