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Title page for etd-0902113-170340


URN etd-0902113-170340 Statistics This thesis had been viewed 1639 times. Download 353 times.
Author Yen-Jen Hsiao
Author's Email Address No Public.
Department Electrical Engineering
Year 2012 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 77
Title STATE OF CHARGE ESTIMATION OF LI-ION BATTERY BY H∞ OBSERVER
Keyword
  • li-ion battery
  • state of charge
  • H∞ observer
  • H∞ observer
  • state of charge
  • li-ion battery
  • Abstract Reliable and accurate state of charge (SOC) estimation can improve battery performance and reliability and prolong battery lifetime. The equivalent circuit model (ECM) is applied to approximate characteristic of the Li-ion battery. In order to obtain the unknown parameters of the ECM, the open circuit voltage (OCV) method and direct current internal resistance (DCIR) method are used to find the relationship between the parameters and SOC of the Li-ion battery. And then, the parameters will be calculated by the proposed method. The fuzzy c-regression model (FCRM) will be used to formulate the test data with the function of SOC. In this thesis, a SOC estimation method is proposed using an H∞ observer by solving the linear matrix inequalities (LMIs). The proposed method is verified by simulation results, and it can estimate the SOC of the battery with high accuracy.
    Advisor Committee
  • Chung-Chun Kung - advisor
  • Chiang-Cheng Chiang - co-chair
  • Ti-Hung Chen - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2013-07-31 Date of Submission 2013-09-03


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