چكيده به لاتين
In this research, each of these two power sources has been designed separately and the factors affecting them have been investigated. For human motives, according to experimental tests, the fatigue limit is obtained based on the number of calories burned, and the relationships for estimating the fatigue rate for different samples are obtained. An upgraded model of electric vehicles has also been used for electric propulsion. Also, according to the e-bike model, relationships have been obtained to estimate the distance traveled by completely discharging the battery charge under the influence of physical factors such as mass, driver's front area, and drag coefficient, as well as environmental factors such as road slope, cycle, and wind speed. Then, by combining both energy sources, the pedal assist electric bike has been designed and the energy management system has been designed using the energy sources switch according to the bicycle speed. In the energy management system, the pedal assist electric bike has followed a specific movement cycle with switch speeds from zero to 25 kilometers per hour. According to the cost function related to battery consumption and calories burned, the speed of 18 km / h is considered as the switching speed, which at this speed will put a lot of pressure on the driving forces due to fatigue, so the best switch speed is 10 km. The selected hour in which the cyclist did not consume more energy than fatigue, and in this case the ratio of 18 km / h fatigue has been reduced by 45.35%. Finally, suitable switch speeds with different weight and mass ranges are obtained, and these switch speeds are also obtained to achieve the maximum distance traveled. Also, the optimal relationship for the resource switch is obtained according to the rider's heart rate
