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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105752

    Title: 電動輔助自行車之智慧型節能控制系統研究
    Other Titles: The study of an intelligent power saving control system for the electric assisted bicycles
    Authors: 潘信利;Pan, Sin-Li
    Contributors: 淡江大學機械與機電工程學系碩士班
    Keywords: 電動輔助自行車;灰色理論;模糊理論;智慧型控制;Electric assisted bicycle;grey theory;Fuzzy Theory;Intelligent Control
    Date: 2015
    Issue Date: 2016-01-22 15:04:22 (UTC+8)
    Abstract: 本論文針對電動輔助自行車以灰模糊理論設計一套智慧型節能控制器,使輔助動力輸出優化,有效利用電池電量,進而達成節能之目的。
    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.
    Appears in Collections:[機械與機電工程學系暨研究所] 學位論文

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