Retraction notice to “Non-invasive investigation of predominant processes in the impedance spectra of high energy lithium-ion batteries with Nickel–Cobalt–Aluminum cathodes” [J. Power Sources. 406 (2018) 185–193]

Sabet, Pouyan Shafiei; Stahl, Gereon; Sauer, Dirk Uwe

doi:10.1016/j.jpowsour.2020.228297

Cited by 25 publications

(14 citation statements)

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“…The peak P 1 , with a time constant of approximatively τ = 1.25 × 10 À 5 s (i. e. highfrequencies) can be attributed to the contact impedance as already reported for graphite in other study. [83] The peak P 2 , with a time constant of approximatively τ = 2.51 × 10 À 4 s, which is consistent with the resistance of the passivation layer (R SEI ), increases during sodiation and decreases during desodiation as well, consistently with the behavior of the high-frequency semicircle in the Nyquist plots. This behavior suggests that SEI is not completely formed and stabilized after 5 cycles.…”

supporting

confidence: 67%

Electrochemical Characterization of Charge Storage at Anodes for Sodium‐Ion Batteries Based on Corncob Waste‐Derived Hard Carbon and Binder

et al. 2023

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Sodium‐ion batteries (SIBs) represent a potential alternative to lithium‐ion batteries in large‐scale energy storage applications. To improve the sustainability of SIBs, the utilization of anode carbonaceous materials produced from biomass and the selection of a bio‐based binder allowing an aqueous electrode processing are fundamental. Herein, corncobs are used as raw material for the preparation of hard carbon and it is also used as cellulose sources for the synthesis of carboxymethyl cellulose (CMC) binder. The corncob‐derived electrodes deliver a high discharge capacity of around 264 mAhg−1 at 1 C (300 mAg−1), with promising capacity retention (84 % after 100 cycles) and good rate capability. Additionally, this work expands the fundamental insight of the sodium storage behavior of Hard Carbons through an electrochemical approach, suggesting that the reaction mechanism is controlled by capacitive process in the sloping voltage region, while the diffusion‐controlled intercalation is the predominant process in the low‐voltage plateau.

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confidence: 67%

Electrochemical Characterization of Charge Storage at Anodes for Sodium‐Ion Batteries Based on Corncob Waste‐Derived Hard Carbon and Binder

et al. 2023

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“…This is related to processes such as electrode/electrolyte interfacial reactions, charge transfer kinetics, or surface passivation. [26][27][28] After the initial cycling, differences between group V21 and the other two groups (V28, V35) are immediately apparent in the impedance spectra, as shown in Figure 1. The impedance spectra of group V21 are shifted to the right on the x-axis compared to the other cells.…”

Section: Impedance Spectroscopymentioning

confidence: 99%

“…EIS is used to measure frequency-dependent processes in lithium-ion cells. The impedance spectra are divided into four ranges during the analysis: [26][27][28] inductance, serial resistance, the surface resistance, and diffusion processes. The different ranges are distinguished by the frequencies.…”

Section: Impedance Spectroscopymentioning

confidence: 99%

The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries

Klick,

Stahl,

Sauer

2023

Energy Tech

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Lithium‐ion cells with graphite anodes and nickel–manganese–cobalt oxide (NMC622) cathodes are filled with three different amounts of electrolyte. During formation, incremental capacity analysis indicates small differences in the formation processes between cells with insufficient electrolytes to fill all pores and those with an electrolyte volume above the total pore volume of the cell. Complimentary analysis of the gases developed during formation shows that the composition of these cells differs from the cells with a sufficient electrolyte. The aging of cells under high temperature (60 °C) and high constant voltage of 4.2 V is studied. During aging, cells with higher amounts of electrolyte degrade substantially slower. Based on data available from electrical tests, a theory explaining the volume‐dependent rise of resistance and capacity decay is proposed.

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“…But it can also be sensible for a more detailed analysis to include other SoCs since resistance also has an SoC dependence, especially at low and high SoCs. [ 24 ] In addition to pulse resistances at defined SoCs, other resistances can be calculated without any additional measurements. Each current, either charge or discharge, generates a voltage change to determine a resistance value.…”

Section: Initial Parametersmentioning

confidence: 99%

Correlation of Health Indicators on Lithium‐Ion Batteries

et al. 2023

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Herein, a detailed correlation index of health indicators for lithium‐ion batteries is presented. Identifying potential correlations of health indicators is of high importance with regard to the cell selection process and to minimize the occurring cell‐to‐cell spread within the lifetime. Health indicators that are taken into account are among others impedance measurements of different pulse lengths, capacity values at different discharge procedures and checkups, weight, and initial voltage. Herein, the work is based on four different aging datasets covering variations in cell chemistry (NMC, LFP, NCA), cell type (round, prismatic), as well as the size and designated application (consumer, automotive). A publicly available dataset is included to allow for an easy reproduction of the results.

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Retraction notice to “Non-invasive investigation of predominant processes in the impedance spectra of high energy lithium-ion batteries with Nickel–Cobalt–Aluminum cathodes” [J. Power Sources. 406 (2018) 185–193]

Cited by 25 publications

References 0 publications

Electrochemical Characterization of Charge Storage at Anodes for Sodium‐Ion Batteries Based on Corncob Waste‐Derived Hard Carbon and Binder

Electrochemical Characterization of Charge Storage at Anodes for Sodium‐Ion Batteries Based on Corncob Waste‐Derived Hard Carbon and Binder

The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries

Correlation of Health Indicators on Lithium‐Ion Batteries

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