Journal Article

FZJ-2025-00751

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A facile physics-based model for non-destructive diagnosis ofbattery degradation

Wang, Z.FZJ* ; Danilov, D.FZJ* ; Eichel, R.-A.FZJ*RWTH* ; Notten, P. H. L. (Corresponding author)FZJ*

2024
Elsevier Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.est.2024.113819  doi:10.34734/FZJ-2025-00751

Abstract: The identification of battery degradation is of significant importance for estimating the state of health. Loss oflithium inventory (LLI), loss of active materials of the negative electrodes (LAMNE), and loss of active materialsof the positive electrodes (LAMPE) are three main degradation modes. This paper proposes an advanced modelbased on open circuit voltage and differential voltage (DV) fitting to diagnose and quantify the degradationmodes of batteries at different stages, showing high fidelity. This physics-based model avoids solving manypartial differential equations and is not computationally demanding. Using commercial batteries with NCA/SiCelectrodes as a case study, the LLI, LAMPE, and LAMNE induced by battery cycling and storage at varioustemperatures, State-of-Charge, and charging/discharging rates are systematically identified and analyzed.

Keyword(s): Energy (1st) ; Chemistry (2nd)

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Contributing Institute(s):

1. Grundlagen der Elektrochemie (IET-1)

Research Program(s):

1. 1223 - Batteries in Application (POF4-122) (POF4-122)

Appears in the scientific report 2024

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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