Description of Hysteresis in Lithium Battery by Classical Preisach Model

In this paper Preisach Model is applied to obtain a mathematical model of the hysteresis in lithium battery. Preisach Model allows to describe the hysteresis of charging and discharging cycles in a lithium battery. The identification of the model is obtained by using a neural network technique developed for magnetic systems. The model is verified on some experimental tests on commercial batteries.

[1]  M. Trapanese,et al.  Description of hysteresis of Nickel Metal Hydride Battery , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[2]  Marco Trapanese,et al.  Identification of parameters of dynamic Preisach model by neural networks , 2008 .

[3]  Marco Trapanese,et al.  Noise enhanced stability in magnetic systems , 2009 .

[4]  G. Rizzo,et al.  Renewable energy sources: A Mediterranean perspective , 2010, 2010 2nd International Conference on Chemical, Biological and Environmental Engineering.

[5]  Vincenzo Franzitta,et al.  Update on desiccant wheel model , 2004 .

[6]  Issa Batarseh,et al.  A hysteresis model for a Lithium battery cell with improved transient response , 2011, 2011 Twenty-Sixth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[7]  S. Caldara,et al.  A fuzzy diagnostic system: application to linear induction motor drives , 1997, IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings.

[8]  Xiaodong Zhang,et al.  Modeling and estimation of Nickel Metal Hydride battery hysteresis for SOC estimation , 2008, 2008 International Conference on Prognostics and Health Management.

[9]  R. Miceli,et al.  A novel neural approach to the determination of the distribution function in magnetic Preisach systems , 2004, IEEE Transactions on Magnetics.

[10]  Vincenzo Franzitta,et al.  The use of sea waves for generation of electrical energy and Hydrogen , 2009, OCEANS 2009.

[11]  M. Trapanese,et al.  A multiphysics approach to the design of a seawave energy conversion system , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[12]  Vincenzo Franzitta,et al.  The importance of reliable climatic data in the energy evaluation , 2012 .

[13]  Gianfranco Rizzo,et al.  Toward a European Eco-label brand for residential buildings: Holistic or by-components approaches? , 2011 .