The identification of aging phenomena affecting lithium-ion cells is extensively covered in the scientific literature reviewed in the first part of the DIAMOND project. In particular, several techniques available for identifying aging mechanisms are highlighted, as described in deliverable 1.1. This deliverable D 2.1 will first provide an initial analysis of the aging mechanisms and then describe in detail the two most promising techniques: Electrochemical Impedance Spectroscopy (EIS) and differential voltage/ incremental capacity methods.These methods can detect subtle changes in the battery's performance, such as shifts in voltage plateaus or changes in capacity retention. By examining these variations, researchers can infer the underlying aging mechanisms, such as loss of active material, lithium plating, or structural degradation of the electrodes. In addition to detailing these techniques, deliverable 2.1 proposes a methodology for feature selection to be implemented in the final part of DIAMOND Milestone 2. This methodology aims to define an aging model for lithium batteries, incorporating the most relevant features identified through EIS and differential voltage and incremental capacity analysis. By selecting the most indicative features, the model can more accurately predict the aging behaviour and remaining useful life of the batteries.

Ageing mechanisms and available test curves: features selection RE 15/25

Giovanni Lucà Trombetta
;
Giovanni Brunaccini;Davide Aloisio;Gioacchino Musico;Francesco Salmeri;Nico Randazzo;Samuele Di Novo;Salvatore Gianluca Leonardi;Francesco Sergi
2025

Abstract

The identification of aging phenomena affecting lithium-ion cells is extensively covered in the scientific literature reviewed in the first part of the DIAMOND project. In particular, several techniques available for identifying aging mechanisms are highlighted, as described in deliverable 1.1. This deliverable D 2.1 will first provide an initial analysis of the aging mechanisms and then describe in detail the two most promising techniques: Electrochemical Impedance Spectroscopy (EIS) and differential voltage/ incremental capacity methods.These methods can detect subtle changes in the battery's performance, such as shifts in voltage plateaus or changes in capacity retention. By examining these variations, researchers can infer the underlying aging mechanisms, such as loss of active material, lithium plating, or structural degradation of the electrodes. In addition to detailing these techniques, deliverable 2.1 proposes a methodology for feature selection to be implemented in the final part of DIAMOND Milestone 2. This methodology aims to define an aging model for lithium batteries, incorporating the most relevant features identified through EIS and differential voltage and incremental capacity analysis. By selecting the most indicative features, the model can more accurately predict the aging behaviour and remaining useful life of the batteries.
2025
Istituto di Tecnologie Avanzate per l'Energia - ITAE
Rapporto intermedio di progetto
Electrochemical Impedance Spectroscopy
Differential Voltage
Incremental Capacity
Ageing prediction
Lithium-ion batteries
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/547515
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