Riding bicycles as a means of transportation and recreation is becoming increasingly popular because bicycles are environmentally friendly and trendy for young people. However, behind its advantages and appeal, the bicycle gives problems when passing through an uphill road to the rider. It takes a lot of effort and energy to pedal and keep it moving. This research proposed a novelty method to solve uphill cycling by deploying the Fuzzy control system. A Mamdani type is selected to solve the assisted power calculation with torque, speed, and the angle of slope of the road as parameters. To make the system run in real-time, the microcontroller ATMega 2560 is used to record, process, and control the data. The research results show that bicycles without assisted power need an average of 8 times greater than the power-assisted bicycles on a slope of less than 15°. The maximum pedal torque needed is 1.5 times greater than the power-assisted bicycle, which is 80 Nm compared to 53 Nm. On the uphill road, the speed of a bicycle with assisted power is 4.4 times greater than the bicycle without assisted power. The average electric power consumption on assisted-power bicycles is 2.75 Wh/km, showing that the performance of bicycles with assisted power has many advantages compared to bicycles without assisted power.
Pedal Assist Torque Performance of Electric Bikes Driven by BLDC Motors on Uphill Roads
2023-09-14
508838 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Adaptive pedal assist systems and control logic with input torque filters for intelligent e-bikes
Europäisches Patentamt | 2021
|ADAPTIVE PEDAL ASSIST SYSTEMS AND CONTROL LOGIC WITH INPUT TORQUE FILTERS FOR INTELLIGENT E-BIKES
Europäisches Patentamt | 2019
|Adaptive pedal assist systems and control logic for intelligent e-bikes
Europäisches Patentamt | 2019
|ADAPTIVE PEDAL ASSIST SYSTEMS AND CONTROL LOGIC FOR INTELLIGENT E-BIKES
Europäisches Patentamt | 2019
|