| Summary: | 碩士 === 國立臺灣科技大學 === 機械工程系 === 101 === The noise immunity and real time estimation ability of Extended Kalman filter
(EKF) based observer lead to a popular application in the battery estimation,
but rarely used in the supercapacitor. The enhanced computation of the embedded
system progresses the algorithm of EKF which shortens the process timing.
In this study,to achieve the purposes which are measuring state of charge (SOC)
and temperature by using the model of supercapacitor with thermal effects. In
addition, the experiment set in three different conditions such as adiabatic, room
temperature and low temperature (-39◦C) then testing by different charge frequency
in range 18mHz to 0.25Hz.Furthermore, test EKF by New York City Cycles
(NYCC).All the experiment results indicated that EKF executes in good performance.
Accomplishment of the supercapacitor’s estimation can be developed in
more states also can control the system in real time by the estimate data in the
future.
|
|---|
