Model-based electrochemical estimation and constraint management for pulse operation of lithium ion batteries / Kandler A. Smith in IEEE Transactions on control systems technology, Vol. 18 N° 3 (Mai 2010)  

Public ISBD [article]  inIEEE Transactions on control systems technology > Vol. 18 N° 3 (Mai 2010) . - pp. 654-663 Titre : Model-based electrochemical estimation and constraint management for pulse operation of lithium ion batteries Type de document : texte imprimé Auteurs : Kandler A. Smith, Auteur ; Christopher D. Rahn, Auteur ; Chao-Yang Wang, Auteur Année de publication : 2011 Article en page(s) : pp. 654-663 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Electrochemical model Lithium ion battery Model reduction Reference governor State of charge (SOC) estimation Index. décimale : 629.1 Résumé : High-power lithium ion batteries are often rated with multiple current and voltage limits depending on the duration of the pulse event. These variable control limits, however, are difficult to realize in practice. In this paper, a linear Kalman filter based on a reduced order electrochemical model is designed to estimate internal battery potentials, concentration gradients, and state-of-charge (SOC) from external current and voltage measurements. A reference current governor predicts the operating margin with respect to electrode side reactions and surface depletion/saturation conditions responsible for damage and sudden loss of power. The estimates are compared with results from an experimentally validated, 1-D, nonlinear finite volume model of a 6 Ah hybrid electric vehicle battery. The linear filter provides, to within ~ 2%, performance in the 30%-70% SOC range except in the case of severe current pulses that draw electrode surface concentrations to near saturation and depletion, although the estimates recover as concentration gradients relax. With 4 to 7 states, the filter has low-order comparable to empirical equivalent circuit models commonly employed and described in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range of pulse operation. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256311 [article] Model-based electrochemical estimation and constraint management for pulse operation of lithium ion batteries [texte imprimé] / Kandler A. Smith, Auteur ; Christopher D. Rahn, Auteur ; Chao-Yang Wang, Auteur . - 2011 . - pp. 654-663. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 3 (Mai 2010) . - pp. 654-663 Mots-clés : Electrochemical model Lithium ion battery Model reduction Reference governor State of charge (SOC) estimation Index. décimale : 629.1 Résumé : High-power lithium ion batteries are often rated with multiple current and voltage limits depending on the duration of the pulse event. These variable control limits, however, are difficult to realize in practice. In this paper, a linear Kalman filter based on a reduced order electrochemical model is designed to estimate internal battery potentials, concentration gradients, and state-of-charge (SOC) from external current and voltage measurements. A reference current governor predicts the operating margin with respect to electrode side reactions and surface depletion/saturation conditions responsible for damage and sudden loss of power. The estimates are compared with results from an experimentally validated, 1-D, nonlinear finite volume model of a 6 Ah hybrid electric vehicle battery. The linear filter provides, to within ~ 2%, performance in the 30%-70% SOC range except in the case of severe current pulses that draw electrode surface concentrations to near saturation and depletion, although the estimates recover as concentration gradients relax. With 4 to 7 states, the filter has low-order comparable to empirical equivalent circuit models commonly employed and described in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range of pulse operation. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256311

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Model order reduction of 1D diffusion systems via residue grouping / Kandler A. Smith in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 130 N°1 (Janvier/Fevrier 2008)  

Public ISBD [article]  inTransactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 130 N°1 (Janvier/Fevrier 2008) . - 8 p. Titre : Model order reduction of 1D diffusion systems via residue grouping Type de document : texte imprimé Auteurs : Kandler A. Smith, Auteur ; Christopher D. Rahn, Auteur ; Chao-Yang Wang, Auteur Année de publication : 2008 Article en page(s) : 8 p. Note générale : dynamic systems Langues : Anglais (eng) Mots-clés : model order reduction method  1D diffusion systems  negative real eigenvalues Résumé : A model order reduction method is developed and applied to 1D diffusion systems with negative real eigenvalues. Spatially distributed residues are found either analytically (from a transcendental transfer function) or numerically (from a finite element or finite difference state space model), and residues with similar eigenvalues are grouped together to reduce the model order. Two examples are presented from a model of a lithium ion electrochemical cell. Reduced order grouped models are compared to full order models and models of the same order in which optimal eigenvalues and residues are found numerically. The grouped models give near-optimal performance with roughly 1∕20 the computation time of the full order models and require 1000–5000 times less CPU time for numerical identification compared to the optimization procedure. En ligne : http://dynamicsystems.asmedigitalcollection.asme.org/issue.aspx?journalid=117&is [...] [article] Model order reduction of 1D diffusion systems via residue grouping [texte imprimé] / Kandler A. Smith, Auteur ; Christopher D. Rahn, Auteur ; Chao-Yang Wang, Auteur . - 2008 . - 8 p. dynamic systems Langues : Anglais (eng) in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 130 N°1 (Janvier/Fevrier 2008) . - 8 p. Mots-clés : model order reduction method  1D diffusion systems  negative real eigenvalues Résumé : A model order reduction method is developed and applied to 1D diffusion systems with negative real eigenvalues. Spatially distributed residues are found either analytically (from a transcendental transfer function) or numerically (from a finite element or finite difference state space model), and residues with similar eigenvalues are grouped together to reduce the model order. Two examples are presented from a model of a lithium ion electrochemical cell. Reduced order grouped models are compared to full order models and models of the same order in which optimal eigenvalues and residues are found numerically. The grouped models give near-optimal performance with roughly 1∕20 the computation time of the full order models and require 1000–5000 times less CPU time for numerical identification compared to the optimization procedure. En ligne : http://dynamicsystems.asmedigitalcollection.asme.org/issue.aspx?journalid=117&is [...]

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