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URN etd-0824111-132712 Statistics This thesis had been viewed 2217 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 Date of Defense 2011-07-27 Date of Submission 2011-08-24