Mathematical Modeling of Aging of Li-Ion Batteries

Part of the Green Energy and Technology book series (GREEN)


The recent interest in full and hybrid electric vehicles powered with Li-ion batteries has prompted for in-depth battery aging characterization and prediction. This topic has become popular both in academia and industry battery research communities. Because it is an interdisciplinary topic, different methods for aging studies are being pursued, ranging from black box types of approaches from the electrical engineering community all the way to physics-based methods mainly brought about by the chemical engineering community. This chapter describes an overall methodology for aging characterization and prediction in Li-ion batteries based on physics-based modeling. In a first section, the typical aging phenomena in LIBs are reviewed along with their effects on the cell internal balancing and performance loss. In a second section, the physics-based models used for aging studies are presented, which includes both the performance models (i.e., aging-free) and aging models. In a third section, the typical aging experiments and characterization methods are introduced, along with their analysis with the physics-based models. Finally, the last section presents an outlook of physics-based aging modeling.


Electrochemical Impedance Spectroscopy Side Reaction Aging Test Solid Electrolyte Interphase Aging Phenomenon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.Laboratoire de Réactivité et de Chimie des Solides, CNRS UMR 7314Université de Picardie Jules VerneAmiensFrance
  2. 2.Department of ChemistryUniversity of WaterlooWaterlooCanada

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