The Study of an Intelligent Power Saving Control System for the Electric Assisted Bicycles

• Main Authors: Sin-Li Pan, 潘信利
• Other Authors: 楊智旭
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/70076881323701973161

碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 103 === The thesis is to design an intelligent power saving controller for the electric assisted bicycle by grey and fuzzy theory. The controller will set up the optimal output for the most effective battery power to achieve the energy saving purpose. There are three sensors in this system which are vehicle speed, pedaling speed and pedaling torque. These sensing signals are used for the grey design-making to find out the biking mode (up/ or downhill, flat road). Then, we combine fuzzy theory to calculate to the appropriate voltage for the motor driver in order to control the motor output. In the research, a cycling training platform is used to simulate road tests to find out the control parameters. The total cycling mileage is increased by 33% for the developed grey-fuzzy controller comparing with traditional torque controller in the actual road test. Thus, this intelligent power saving control system of the electric assisted bicycles is able to save electrical energy in the actual road test.