Investigation on the ageing mechanism for a lithium-ion cell under accelerated tests: The case of primary frequency regulation service

Leonardi, Salvatore Gianluca; Aloisio, Davide; Brunaccini, Giovanni; Stassi, A.; Ferraro, Marco; Sergi, Francesco

doi:10.1016/j.est.2021.102904

Cited by 12 publications

(5 citation statements)

References 66 publications

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“…Despite the voltage curves used in the present work to perform differential analysis were acquired at 1C, the signals provided were still useful for identifying the most relevant signature typical for the chemistry of the cell under investigation. Indeed, as already proven in previous works, a higher C-rate can still be useful for ageing mechanism identification [32,33]. By observing the IC curve three different peaks A, B and C can be identified at 3.47 V, 3.8 V and 4.1 V, respectively, which can be related to the graphite anode signatures [34].…”

Section: Cells Cycling Under Current Driving Cyclesupporting

confidence: 55%

Effect of WLTP CLASS 3B Driving Cycle on Lithium-Ion Battery for Electric Vehicles

et al. 2022

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Capacity loss over time is a critical issue for lithium-ion batteries powering battery electric vehicles (BEVs) because it affects vehicle range and performance. Driving cycles have a major impact on the ageing of these devices because they are subjected to high stresses in certain uses that cause degradation phenomena directly related to vehicle use. Calendar capacity also impacts the battery pack for most of its lifetime with a capacity degradation. The manuscript describes experimental tests on a lithium-ion battery for electric vehicles with up to 10% capacity loss in the WLTP CLASS 3B driving cycle. The lithium-ion battery considered consists of an LMO-NMC cathode and a graphite anode with a capacity of 63 Ah for automotive applications. An internal impedance variation was observed compared to the typical full charge/discharge profile. Incremental capacitance (IC) and differential voltage (DV) analysis were performed in different states of cell health. A lifetime model is described to compute the total capacity loss for cycling and calendar ageing exploiting real data under some different scenarios of vehicle usage.

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Section: Cells Cycling Under Current Driving Cyclesupporting

confidence: 55%

Effect of WLTP CLASS 3B Driving Cycle on Lithium-Ion Battery for Electric Vehicles

et al. 2022

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“…In addition, EIS could also be used to evaluate the accelerated effects of coupling high temperatures with frequency regulation protocols based on pulsed operations. 131 Wu et al used coupling accelerated conditions of different temperatures and 30 C pulse charging to study the interplay of them. 132 As shown in Figure 7d, the battery capacity plunges under low temperature due to Li plating.…”

Section: Eis Variations At Different Aging Conditionsmentioning

confidence: 99%

“…The impedance evolutions of batteries aged at 5C/40 °C show that R SEI and R ct first change slightly and then increase significantly after 400 cycles, which corresponds to the Li plating-induced knee point. In addition, EIS could also be used to evaluate the accelerated effects of coupling high temperatures with frequency regulation protocols based on pulsed operations . Wu et al used coupling accelerated conditions of different temperatures and 30 C pulse charging to study the interplay of them .…”

Section: Application Of Eis To Lib’s Aging Studymentioning

confidence: 99%

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Peng

Wei³

et al. 2023

J. Phys. Chem. C

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An in-depth understanding of battery degradation and aging in-Operando not only plays a vital role in the design of battery managing systems but also helps to ensure safe use and manufacturing optimization of lithium-ion batteries (LIBs) in large-scale applications. Electrochemical impedance spectroscopy (EIS) is a nondestructive method which unravels electrode kinetic processes inside the batteries in different time domains, including charge-transfer reactions, interfacial evolutions, and mass diffusions. It has become a powerful diagnosis and pre/prognosis tool in battery aging research, as it provides important insight into the changes of internal electrochemical processes by correlating the impedance evolution to degradation mechanisms. This review gives a critical overview on rapidly developing impedance techniques for degradation and aging investigation of Li-ion batteries. The EIS variations of LIBs at different aging conditions of calendar aging and accelerated aging are systematically summarized. In addition, the working principles, data validation, and modeling methods, including equivalent circuit model (ECM), distribution of relaxation times (DRT), and transmission line model (TLM), of classical EIS and dynamic EIS are elaborately concluded. Finally, the challenges and perspectives of further application of EIS in the aging research of LIBs are presented.

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“…Additionally, high mechanical stress is observed at the cathode with increased DOD, where DOD width is more significant than the upper and lower limits [2]. Zhu et al and Leonardi et al [36,37] found that besides LLI, cathode degradation is the most dominant LIB aging mechanism during cycling due to repeated lithium-ion diffusion causing high anisotropic strain and subsequent fracture of metal oxide particle structures. Ryu et al [38] further identify cathodic chemistry as the main cause of this behavior.…”

Section: Cycle Aging Mechanismsmentioning

confidence: 99%

Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments

Ali,

Da Silva,

Amon

2023

Batteries

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Lithium-ion batteries (LIBs) are leading the energy storage market. Significant efforts are being made to widely adopt LIBs due to their inherent performance benefits and reduced environmental impact for transportation electrification. However, achieving this widespread adoption still requires overcoming critical technological constraints impacting battery aging and safety. Battery aging, an inevitable consequence of battery function, might lead to premature performance losses and exacerbated safety concerns if effective thermo-electrical battery management strategies are not implemented. Battery aging effects must be better understood and mitigated, leveraging the predictive power of aging modelling methods. This review paper presents a comprehensive overview of the most recent aging modelling methods. Furthermore, a multiscale approach is adopted, reviewing these methods at the particle, cell, and battery pack scales, along with corresponding opportunities for future research in LIB aging modelling across these scales. Battery testing strategies are also reviewed to illustrate how current numerical aging models are validated, thereby providing a holistic aging modelling strategy. Finally, this paper proposes a combined multiphysics- and data-based modelling framework to achieve accurate and computationally efficient LIB aging simulations.

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Investigation on the ageing mechanism for a lithium-ion cell under accelerated tests: The case of primary frequency regulation service

Cited by 12 publications

References 66 publications

Effect of WLTP CLASS 3B Driving Cycle on Lithium-Ion Battery for Electric Vehicles

Effect of WLTP CLASS 3B Driving Cycle on Lithium-Ion Battery for Electric Vehicles

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments

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