Title :
ESR estimation method for DC-DC converters based on improved EMD algorithm
Author :
Guohui Wang ; Yong Guan ; Jie Zhang ; Lifeng Wu ; Xueyuan Zheng ; Wei Pan
Author_Institution :
Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
Abstract :
Aluminum electrolytic capacitors are usually used in DC-DC converters as smoothing capacitors. According to the statistics data, they are the weakest among various power components in the DC-DC converter. With the increase of the running time, the performance degradation of electrolytic capacitors reflects in electrical parameters, mainly the Equivalent Series Resistance (ESR) and capacitance. The best indicator of the output filter capacitor failure is the increase of ESR. And the output ripple voltage of the converter increases with respect to ESR. Monitoring the ESR variation of the electrolytic capacitor, achieving by voltage and current ripple, can estimate the health state of the converter.
Keywords :
DC-DC power convertors; Hilbert transforms; aluminium; electrolytic capacitors; DC-DC converters; EMD algorithm; ESR estimation; Hilbert-Huang transforms; current ripple; electrolytic capacitors; empirical mode decomposition; equivalent series resistance; output filter capacitor failure; performance degradation; smoothing capacitors; voltage ripple; Capacitors; Estimation; MATLAB; Transforms; EMD; ESR estimation; Hilbert transform; electrolytic capacitor;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228949
