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9th International Conference of Modeling, Optimization and Simulation (MOSIM 2012), Bordeaux : France (2012)

A new optimization algorithm for a Li-Ion battery equivalent electrical circuit identification

Rouba Al-Nazer 1, Viviane Cattin 1, Pierre Granjon 2, Maxime Montaru 3

(08/06/2012)

An equivalent electrical circuit (EEC) is commonly used to model the electrochemical aspect of a battery. Its structure can be more or less complicated depending on the needs of the application. Impedance measurements obtained by electrochemical impedance spectroscopy need non integer order impedance in order to correctly model passivation film and diffusion phenomena. Identification of the parameters of the EEC from electrochemical spectroscopy is difficult because of non unicity of the solution and lack of convergence of standard algorithms. The study of the experimental measurements shows that each chemical phenomenon is sollicited in a precise waveband. We propose thus three approaches to improve the identification convergence depending on whether / how we introduce information on the frequency or not. In the first one, we identify all the parameters in the whole waveband (classical approach). The second and third ones (alternative approaches) split the waveband and identify only the corresponding excited parameters. In all these cases, the identification of the parameters of the EEC should use a non linear method and must lead to an accurate result. The Levenberg-Marquardt algorithm is adopted in this study. A statistical study shows that the first approach can't converge strongly while the second and third one converge with the presence of a bias. Thus we propose to adopt a new method of identification based on a two-steps algorithm.

1 :	Laboratoire d'Electronique et des Technologies de l'Information (LETI)
	CEA : DRT/LETI
2 :	Grenoble Images Parole Signal Automatique (GIPSA-lab)
	CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
3 :	Institut National de l'Energie Solaire (INES)
	CNRS : UMR – CEA : DRT/LITEN – CSTB

Équipe de recherche : SAIGA

Domaine

:

Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Energie électrique

Mots Clés : optimization method – Levenberg-Marquardt algorithm – battery modelling – equivalent electrical circuit – electrical impedance spectroscopy – battery monitoring system

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Contributeur : Pierre Granjon <>

Soumis le : Mercredi 25 Avril 2012, 09:35:50

Dernière modification le : Vendredi 27 Avril 2012, 14:07:27