Research on driving control of electric vehicles based on fuzzy control algorithm
by Jinxia Yang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 22, No. 3/4, 2022

Abstract: In the development process of automobile industry in full swing, the problem of traffic safety is becoming increasingly prominent. In order to effectively reduce the incidence of traffic accidents, this experiment deeply explores the drive control of electric vehicles. By integrating the fuzzy control algorithm into the drive control system of electric vehicles, the simulation analysis under different working conditions is carried out. The simulation results show that the driving control of electric vehicles based on fuzzy control algorithm can effectively control the driving speed, acceleration and distance from the front vehicle under four working conditions. For example, when the front vehicle leaves, the electric vehicle can play a superior speed following performance. When the current vehicle accelerates away from the self-vehicle, the self-vehicle can quickly switch to the constant speed cruise mode. The actual distance between the two vehicles is basically consistent with the expected safety distance, which can realise effective distance control. The acceleration trend of the electric vehicle is very close to the expected acceleration, and it can maintain the constant speed cruise mode after 40 s of the simulation experiment. This shows that the electric vehicle control algorithm based on fuzzy control has stable control performance.

Online publication date: Tue, 09-Aug-2022

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