Affiliations: School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China
Correspondence:
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Corresponding author: Guosheng Feng, School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China. E-mail: fgs2005@126.com.
Abstract: Aiming at a hybrid electric vehicle with compound power supply, firstly a fuzzy control strategy of engine and motor torque distribution is designed by taking the difference between engine target torque and current torque and SOC of storage battery as inputs and the actual output torque coefficient of engine as output. Secondly, the particle swarm optimization (PSO) algorithm is designed to optimize the fuzzy rules, which promotes the method that the traditional fuzzy rules depend on experience, improves the adaptability and robustness of the fuzzy control, and improves the control accuracy. Finally, the research based on the special simulation software ADVISOR of hybrid electric vehicle shows that the optimized fuzzy rules applied to the torque distribution control of hybrid electric vehicle can ensure that the engine works in the high efficiency area and effectively improve the economy of the vehicle on the premise of ensuring the power performance of the vehicle.
