A model-based investigation of the dynamic and control characteristics of an electric power-assisted bicycle with the varied design parameters

The article focuses on researching and improving dynamic performance of an electric power-assisted bicycle (EPAB) based on simulation models under human control. The model takes into account structural parameters such as wheel radius, bike mass, and crank length by building a simulation model of EPAB. The article then discusses the development of a mathematical model for the EPAB, which includes a dynamic model of the bicycle under the driver's control, a dynamic model of the electric motor, and speed control models using a Fuzzy logic controller. These models are simulated and solved using MATLAB/Simulink. Furthermore, the article mentions the use of a Fuzzy algorithm to control the electric bicycle's speed at 22 and 25 km/h, taking into account factors such as slope and wind speed. The effectiveness of this control is evaluated at each set speed and the external factors as mentioned above. Finally, the article discusses the establishment of an experimental system for electric-assist bicycles and the conducting of experiments in real conditions. The results of these experiments, such as velocity and moving distance of the EPAB, are compared to the simulations.