An experimental study on smart electric bicycle with optimized power pack

Abstract

Energy-efficient transport systems orientation including the up take of electric vehicles provides socio-economic opportunities that generate multiplie reflects fortrade, employment, good quality of life,and improved health.Among many, electric bicycle (e-bicycle)is attracting significant attention worldwide due to its lightweight,compact design,andcheaperpricethan other electric vehicles. Many smart e-bicycle solutions have been advocated as important supportive tools to embrace-bicycles but failed to continue the paradigm due to the weight of the bicycle has increased. This paper proposes a novel approach to design an electrically assisted bicycle prototype including hardware, powerpack, and bicycle computer to control the motor using physiological information and the bicycle sensor data.The study presents the experimental results regarding fatigued etection based on heartrate, heart rate vary ability, bike speed data,cadence , and terrain data information for assisting the rider. Accordingly, the novelty of this study is to optimize the weight of thee-bicycle and implement a bicycle computer system to control the motor.