Host: The Japan Society of Mechanical Engineers
Name : International Conference on Power Engineering-2021(ICOPE-2021)
Date : October 17, 2021 - October 21, 2021
Pure electric vehicles have the advantages of wide energy sources, low emissions, and high efficiency.It is necessary to be improved of economic performance of electric vehicles due to the shortage of global energy. In this paper, fuzzy control theory is used to identify the driver's intention and control the torque output and energy recovery. With the goal of improving the economy of the whole vehicle, a combination of reference torque, compensation torque and torque limit under special conditions is designed to realize the economic optimization of torque output. At the same time, with the goal of recovering the energy in the braking process of the whole vehicle, a real-time energy recovery strategy has been developed to improve the economy of the vehicle. Based on the "Simulink" platform, a forward simulation model of the vehicle is established to simulate the running process of the vehicle. Establish a fuzzy control strategy model, and study the fuel consumption per 100 kilometers and energy recovery efficiency when the control strategy is adopted by simulating the operation of the entire vehicle. The results show that when using this control strategy, the actual vehicle test reduces the fuel consumption per 100 kilometers by 18.3% compared with the original vehicle control strategy. Through simulation under NEDC operating conditions, the fuzzy control strategy is obviously better than the original vehicle control strategy. It shows that using this strategy can effectively improve the vehicle economy and energy recovery efficiency, so as to achieve the purpose of energy-saving.
