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Modeling Degradation for Second-life Battery: Preliminary Results

2021/02/07 by Gabriele Pozzato, Pozzato, Gabriele, Seong Beom Lee +3
Chemistry · Computer Science · Engineering · #Advanced Battery Materials and Technologies #Advanced Battery Technologies Research #Advancements in Battery Materials #Anode #Battery (electricity) #Capacity loss #Cathode #Chemistry #Computer science #Degradation (telecommunications) #Electrical engineering #Electrochemistry #Electrode #Electrolyte #Electronic engineering #Engineering #FOS: Electrical engineering #Fade #Inorganic chemistry #Intercalation (chemistry) #Lithium-ion battery #Materials science #Physics #Systems and Control (eess.SY) #Thermodynamics #cs.SY #eess.SY #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2102.03715

published in arXiv (Cornell University) (Cornell University) · 8 pages, 5 figures

openalex publication_date 2021/02/07 · arxiv created 2021/08/18 · arxiv updated 2021/08/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper presents a novel battery modeling framework based on the enhanced single particle model (ESPM) to account for degradation mechanisms of second-life batteries. While accounting for the transport and electrochemical phenomena in the battery solid and electrolyte phases, the dominant anode-related aging mechanisms, namely, solid electrolyte interphase (SEI) layer growth and lithium plating, are modeled. For the first time, the loss of active material (LAM), which describes the tendency of anode and cathode, over time, to reduce the electrode material available for intercalation and deintercalation, is introduced in the ESPM. Moreover, the coupling of the aging modes with the LAM dynamics provides a comprehensive framework that can be employed for the prediction of both linear and non-linear capacity fade crucial to assess second-life battery. Thus, relying on data borrowed from [18], a model parameter identification and a comprehensive sensitivity analysis are performed to prove the effectiveness of the modeling approach.

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