Mathematical Modeling of Aging of Li-Ion Batteries

Charles Delacourt (1, 2) , Mohammadhosein Safari

1 RS2E - Réseau sur le stockage électrochimique de l'énergie
2 LRCS - Laboratoire réactivité et chimie des solides - UMR CNRS 7314

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.

Domaines: Matériaux

Charles Delacourt, Mohammadhosein Safari. Mathematical Modeling of Aging of Li-Ion Batteries. Franco, AA and Doublet, ML and Bessler, WG. PHYSICAL MULTISCALE MODELING AND NUMERICAL SIMULATION OF ELECTROCHEMICAL DEVICES FOR ENERGY CONVERSION AND STORAGE: FROM THEORY TO ENGINEERING TO PRACTICE, pp.151-190, 2016, Green Energy and Technology, 978-1-4471-5677-2; 978-1-4471-5676-5. ⟨10.1007/978-1-4471-5677-2\_5⟩. ⟨hal-03612318⟩