Ho, Ping JuiPing JuiHoYi, Chen PeiChen PeiYiLin, Yi JenYi JenLinChung, Wei DerWei DerChungChou, Po HuanPo HuanChouSie, Bo HuangBo HuangSieSHIH-CHIN YANG2024-01-052024-01-052023-01-01979835033182021624704https://scholars.lib.ntu.edu.tw/handle/123456789/638229This paper examines the management of motor torque in electric bikes (E-bikes) while accounting for various external resistances. In the case of assist electric bikes, the electromagnetic torque generated by the permanent magnet motor can be manipulated to lessen the amount of pedaling torque required from cyclists. However, the overall torque required during riding is influenced by external resistances such as the cyclist's weight, air resistance, friction from the road, and the incline of the road. It's important to regulate the motor torque based on these riding conditions. The primary motion characteristics of an electric bike are analyzed in this paper to determine motor assistance torque. To address the dynamic effects of both pedaling torque and wheel acceleration, four torque control methods are proposed. By aligning the motor torque in the opposite phase to the pedaling torque, fluctuations in acceleration can be minimized. These torque control methods are evaluated through simulations of electric bikes across various resistances. Additionally, an experimental setup is constructed to validate the findings from these cycling simulations.Cycling assisted electric bike | E-bike simulation | External resistance conditions | permanent magnet motor[SDGs]SDG7conference paper10.1109/IECON51785.2023.103121892-s2.0-85179508670https://api.elsevier.com/content/abstract/scopus_id/85179508670