Improved electrical model of aluminum electrolytic capacitor with anomalous diffusion for health monitoring

Aluminum electrolytic capacitors are the most cost effective solution for DC-link decoupling design in comparison to other technologies such as tantalum ones. However they are also the weakest part of static power converters. Thus, a lot of studies have been made in order to estimate their aging particularly through the Equivalent Series Resistance value (ESR) i.e. the real part of the impedance. Nowadays, aluminum electrolytic capacitor manufacturers have successfully created more sustainable high temperature components especially for automotive applications. In this context, most of electrical models found in the literature are not accurate over a broad frequency range. Furthermore, some studies show that the ESR is not always representative of the capacitor lifetime. As a consequence, an improved impedance model with the add of a diffusive element is proposed in this paper. Its purpose is to bring an efficient tool to quantify the evolution during the aging of each impedance part and not only the global real part for automotive dedicated DC-link capacitors.

[1]  Pascal Venet,et al.  Kalman filter used for on line monitoring and predictive maintenance system of aluminium electrolytic capacitors in UPS , 2009, 2009 IEEE Energy Conversion Congress and Exposition.

[2]  António J. Marques Cardoso,et al.  A Simple Offline Technique for Evaluating the Condition of Aluminum–Electrolytic–Capacitors , 2009, IEEE Transactions on Industrial Electronics.

[3]  Jr. S.G. Parler Improved Spice models of aluminum electrolytic capacitors for inverter applications , 2002 .

[4]  V. A. Sankaran,et al.  Electrolytic capacitor life testing and prediction , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[5]  A. Compte,et al.  Theory of the electrochemical impedance of anomalous diffusion , 2001 .

[6]  Peter Mauracher Modellbildung und Verbundoptimierung bei Elektrostraßenfahrzeugen , 1996 .

[7]  Guy Friedrich,et al.  Modeling of the diffusion phenomenon in a lithium-ion cell using frequency or time domain identification , 2013, Microelectron. Reliab..

[8]  Michael L. Gasperi,et al.  Life prediction model for aluminum electrolytic capacitors , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[9]  Rik W. De Doncker,et al.  Modeling the dynamic behavior of supercapacitors using impedance-spectroskopy , 2002 .

[10]  Rong Xu,et al.  The Development of Electrolytes in Aluminium Electrolytic Capacitors for Automotive and High Temperature Applications , 2008 .

[11]  Yannis Tsividis,et al.  A detailed look at electrical equivalents of uniform electrochemical diffusion using nonuniform resistance–capacitance ladders☆ , 2013 .

[12]  Jean Philibert,et al.  The Open-access Journal for the Basic Principles of Diffusion Theory, Experiment and Application , 2007 .

[13]  S. Parler Thermal modeling of aluminum electrolytic capacitors , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[14]  R. D. Levie,et al.  On porous electrodes in electrolyte solutions—IV , 1963 .

[15]  Dirk Uwe Sauer,et al.  Ageing behaviour of electrochemical double layer capacitors. Part I. Experimental study and ageing model , 2007 .

[16]  Harada Kousuke,et al.  Use of ESR for deterioration diagnosis of electrolytic capacitor , 1993 .

[17]  A.J.M. Cardoso,et al.  Lifetime of Film Capacitors in Single-Phase Regenerative Induction Motor Drives , 2007, 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.

[18]  Frede Blaabjerg,et al.  Reliability of Capacitors for DC-Link Applications in Power Electronic Converters—An Overview , 2014, IEEE Transactions on Industry Applications.

[19]  R.W. De Doncker,et al.  Modeling the dynamic behavior of supercapacitors using impedance spectroscopy , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[20]  Chetan S. Kulkarni,et al.  Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress , 2012 .

[21]  Jean-Paul Diard,et al.  Exercices de cinétique électrochimique : II. Méthode d'impédance Exercices corrigés , 2005 .

[22]  M.L. Gasperi,et al.  Life prediction modeling of bus capacitors in AC variable-frequency drives , 2005, IEEE Transactions on Industry Applications.

[23]  Hendrik Johannes Bergveld,et al.  Battery management systems : design by modelling , 2001 .

[24]  Allen J. Bard,et al.  Electrochemical Methods: Fundamentals and Applications , 1980 .