Determining Fatigue Threshold according to Burned Calories for Energy Management in Pedal-Assist Electric Bike Riding

Abstract

The pedal-assist electric bike is interesting equipment because of using these two power sources [1,2]. Predicting the performance of an electric bike requires recognizing both of these driving forces. Activities have been carried out on the electric propulsion force.And due to the structure of electric propulsion, its performance is more predictable than human propulsion. Therefore, in order to make this energy management more applicable, human driving propulsion must be well known [3]. Jessica E Bourne, et al. [4] studied on health improvements by using e-bikes [4]. The driver's tiredness influences power generation from the human power source.Therefore, the driver might not be able to reach the destination earlier than a specified time. So, the major part of this study is covered by the driver's tiredness issue. The researchers such as Alex OW Natera, et al, [5][6][7] studied environmental factors that affect human fatigue while driving a bicycle [5][6][7][8]. Moreover, there are some fac tors related to human physiques that have an impact on human fatigue also [9,10]. Determining the fatigue threshold for the human is so important to discuss that has been done by Didace Ndahimana, et al. [11]. Considering cooling down and warming up time for the driver and following some basic sport instructions can protect the driver from damage and extreme fatigue [12]. Calculating the burned calories is a way to determine the driver's fatigue while exercising. The calculation process is performed with different means [13].There are different methods to calculate burned calories and determining the driver's tiredness status. Doubly labeled water (DLW) method is an accurate method but it is costly. Because it needs high advanced devices, and, specialties' attendance is required. A calorimeter is a direct way to calculate consumed energy but it is an expensive method. There is an indirect method that is

A novel e‐bike energy management for improvement of the rider metabolism

“…Calculating the burned calories is a way to determine the rider's fatigue while exercising. The calculation process is performed with different means [14,15].…”

Identificación de sitios potenciales para la implementación de zonas de parqueo de bicicletas en el área urbana de la ciudad de Loja, Ecuador

“…Existen varios estudios orientados a la identificación del umbral de fatiga. En este sentido, Ebnealipour et al (2020) realizaron un estudio para identificar el umbral de fatiga para diferentes condiciones físicas, evaluando el máximo de calorías quemadas antes de que el ciclista se canse, lo que depende de la edad y el peso del conductor. Iseki & Tingstrom (2014) usaron como umbral 50,000 J como el que corresponde al que un ciclista decida ir en bicicleta desde una estación.…”