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Title page for etd-0824111-132712


URN etd-0824111-132712 Statistics This thesis had been viewed 2174 times. Download 743 times.
Author Yu-Ting Zheng
Author's Email Address No Public.
Department Electrical Engineering
Year 2010 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 83
Title ESTIMATION OF STATE OF CHARGE FOR LI-ION BATTERY BY SLIDING MODE OBSERVER
Keyword
  • ESTIMATION
  • SLIDING MODE OBSERVER
  • LI-ION BATTERY
  • STATE OF CHARGE
  • STATE OF CHARGE
  • LI-ION BATTERY
  • SLIDING MODE OBSERVER
  • ESTIMATION
  • Abstract In this thesis, the design methods of the Fuzzy C-Regression Models (FCRM) clustering algorithm and sliding mode observer (SMO) system is proposed to estimate the state of charge (SOC) of Li-ion batteries. First, a resistor-capacitor equivalent battery model was used to reduce calculation time and system source, and the FCRM clustering algorithm are applied to establish the parameters of battery from the experiments data. Next, the SMO system with three different functions is designed to against modeling errors and uncertainties. The convergence of proposed observer has been proved by the Lyapunov inequality equation. Finally, the simulation results of the proposed SMO systems are compared with experimental results and validate the accuracy.
    Advisor Committee
  • Chung-Chun Kung - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2011-07-27 Date of Submission 2011-08-24


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