淡江大學機構典藏:Item 987654321/105752
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3946698      Online Users : 576
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/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
    楊智旭
    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。
    研究中控制方式以灰色理論和模糊理論為基礎，藉由感測器將車速、踩踏轉速、踩踏扭力作為輸入參數，控制器首先以灰決策進行運算，建立騎乘模態(例如:上、下坡、平地)，再結合模糊理論，經過計算後，以適當的電壓訊號，送至驅動器，輸出馬達動力。
    模擬實驗方式，利用單車訓練平台來模擬道路測試，其結果作為控制參數之依據，最後進行實際道路實驗，以灰模糊控制與扭力控制作為比較，其結果灰模糊控制器續航力增加約33%左右，實驗結果驗證以灰模糊控制器確實達到節能效果。
    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:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Thesis

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML196View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback