Title page for etd-0704100-183847


[Back to Results | New Search]

URN etd-0704100-183847
Author Yung-Yi Yang
Author's Email Address m8731606@student.nsysu.edu.tw
Statistics This thesis had been viewed 5387 times. Download 13019 times.
Department Electrical Engineering
Year 1999
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Design and Implementation of Intelligent Battery Charger and Residual Capacity Estimator for Electric Vehicle
Date of Defense 2000-06-30
Page Count 105
Keyword
  • Battery Charger
  • Digital Signal Processor
  • Residual Capacity Estimator
  • Abstract This paper designs and implements a DSP based intelligent battery charger and residual capacity estimator for electric vehicle. This system uses the proposed new electric circuit structure and the intelligent fuzzy charge algorithm to charge batteries, and the improved coulometric measurement with accurate residual capacity estimation to estimate the residual capacity of batteries. From the experimental results, the charger can achieve the purpose of fast and uniform charge with charging time six (6) to eight (8) hours, and will not cause the damage of battery because of using the intelligent fuzzy charge algorithm can give different charging current depend on the difference of voltage, capacity and temperature of battery; the residual capacity estimator can accurate estimate the residual capacity of batteries due to calculating the increment current and considering the aging factor.
    Advisory Committee
  • Yung-Chun Wu - chair
  • Yin-Chin Wu - co-chair
  • Song-Jau Tsai - co-chair
  • I-Chih Kao - co-chair
  • Tzuen-Lih Chern - advisor
  • Files
  • 封面摘要.pdf
  • 論文內容.pdf
  • indicate accessible in a year
    Date of Submission 2000-07-04

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys