Prediction of capacitance of electrolytic capacitor with ripples

Pengchao Ye, Xiaochun Guan, Xiaojing Chen

College of Physics and Electronic Engineering Information, Wenzhou University

KeyLaboratory of Low-voltage Apparatus Intellectual Technology ofZhejiang, Wenzhou University,Chashan University Town,Wenzhou,Zhejiang Province, 325035, P.R. China

The electrolytic capacitor is one of the most critical components in the switchingpower supply, in actual use of the power supply,the ripple is an important factor that leads to failure of the electrolytic capacitor. The research on the ripple’s effect on the service life of the electrolytic capacitor is significant to the stability of the switching power supply. This paper designed a controllable circuit generating ripples of different phases, tested the electrolytic capacitors’ changes in capacitance with ripples of different phases, analysed the reason of the changes in the capacitance, selected the fastest change, and used three prediction models of support vector regression, radial basis function and kernel-based partial least-squares algorithm to predict the change trends of capacitance of electrolytic capacitor with ripples of this phase. The results showed that compared with radial basis function and support vector regression model kernel-based partial least-squares algorithmcan more accurately predict the service life of the electrolytic capacitor.