Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation

Actual market requirements for storage systems highlight the limits of graphite as an anode for Li-ion batteries. Lithium metal can represent a suitable alternative to graphite due to its high theoretical specific capacity (about 3860 mAh g<sup>−1</sup>) and low negative redox potential....

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Main Authors: Davide Dessantis, Piera Di Prima, Daniele Versaci, Julia Amici, Carlotta Francia, Silvia Bodoardo, Massimo Santarelli
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Batteries
Subjects:
Online Access:https://www.mdpi.com/2313-0105/9/3/146
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author Davide Dessantis
Piera Di Prima
Daniele Versaci
Julia Amici
Carlotta Francia
Silvia Bodoardo
Massimo Santarelli
author_facet Davide Dessantis
Piera Di Prima
Daniele Versaci
Julia Amici
Carlotta Francia
Silvia Bodoardo
Massimo Santarelli
author_sort Davide Dessantis
collection DOAJ
description Actual market requirements for storage systems highlight the limits of graphite as an anode for Li-ion batteries. Lithium metal can represent a suitable alternative to graphite due to its high theoretical specific capacity (about 3860 mAh g<sup>−1</sup>) and low negative redox potential. However, several aging mechanisms, such as dendrite growth, lithium loss and the formation of an unstable SEI, decrease the performances of Li-based batteries. A suitable strategy to better understand and study these mechanisms could be the development of an electrochemical model that forecasts the aging behaviour of a lithium-metal battery. In this work, a P2D aging electrochemical model for an Li-based cell was developed. The main innovation is represented by the combination of two aspects: the substitution of graphite with metallic lithium as an anode and the implementation of SEI growth on the metallic lithium surface. The calibration of the model, based on experimental measurements and the successive validation, led to us obtaining a good accuracy between the simulated and experimental curves. This good accuracy makes the developed P2D aging model a versatile and suitable approach for further investigations on Li-based batteries considering all the aging phenomena involved.
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spelling doaj.art-2a381812ad744b989a5e7d8c04fa8bb92023-11-17T09:35:55ZengMDPI AGBatteries2313-01052023-02-019314610.3390/batteries9030146Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental ValidationDavide Dessantis0Piera Di Prima1Daniele Versaci2Julia Amici3Carlotta Francia4Silvia Bodoardo5Massimo Santarelli6Department of Energy, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Energy, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, ItalyDepartment of Energy, Polytechnic of Turin, 10129 Turin, ItalyActual market requirements for storage systems highlight the limits of graphite as an anode for Li-ion batteries. Lithium metal can represent a suitable alternative to graphite due to its high theoretical specific capacity (about 3860 mAh g<sup>−1</sup>) and low negative redox potential. However, several aging mechanisms, such as dendrite growth, lithium loss and the formation of an unstable SEI, decrease the performances of Li-based batteries. A suitable strategy to better understand and study these mechanisms could be the development of an electrochemical model that forecasts the aging behaviour of a lithium-metal battery. In this work, a P2D aging electrochemical model for an Li-based cell was developed. The main innovation is represented by the combination of two aspects: the substitution of graphite with metallic lithium as an anode and the implementation of SEI growth on the metallic lithium surface. The calibration of the model, based on experimental measurements and the successive validation, led to us obtaining a good accuracy between the simulated and experimental curves. This good accuracy makes the developed P2D aging model a versatile and suitable approach for further investigations on Li-based batteries considering all the aging phenomena involved.https://www.mdpi.com/2313-0105/9/3/146lithium-based batterymetallic lithiumsolid electrolyte interphaseP2D modelingaging
spellingShingle Davide Dessantis
Piera Di Prima
Daniele Versaci
Julia Amici
Carlotta Francia
Silvia Bodoardo
Massimo Santarelli
Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
Batteries
lithium-based battery
metallic lithium
solid electrolyte interphase
P2D modeling
aging
title Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
title_full Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
title_fullStr Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
title_full_unstemmed Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
title_short Aging of a Lithium-Metal/LFP Cell: Predictive Model and Experimental Validation
title_sort aging of a lithium metal lfp cell predictive model and experimental validation
topic lithium-based battery
metallic lithium
solid electrolyte interphase
P2D modeling
aging
url https://www.mdpi.com/2313-0105/9/3/146
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AT juliaamici agingofalithiummetallfpcellpredictivemodelandexperimentalvalidation
AT carlottafrancia agingofalithiummetallfpcellpredictivemodelandexperimentalvalidation
AT silviabodoardo agingofalithiummetallfpcellpredictivemodelandexperimentalvalidation
AT massimosantarelli agingofalithiummetallfpcellpredictivemodelandexperimentalvalidation