Cycle life performance of lithium-ion pouch cells

Kumaresan, Karthikeyan; Guo, Qingzhi; Ramadass, Premanand; White, Ralph E.

doi:10.1016/j.jpowsour.2005.08.058

Cited by 49 publications

(32 citation statements)

References 10 publications

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“…Most studies suggested that the cycle life of lithium ion batteries using a graphite anode was generally attributed to the lithium consuming side reactions on the graphite anode. 7,8 Similar observation was reported for the calendar life of LIBs using a graphite anode. 9,10 Faster capacity fade can be observed in the cycle test than during the calendar aging, 4 likely due to the materials degradation caused by lithiation/delithiation, especially at higher rates.…”

supporting

confidence: 78%

Calendar and Cycle Life of Lithium-Ion Batteries Containing Silicon Monoxide Anode

Zhang

Qin

et al. 2018

J. Electrochem. Soc.

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The capacity fading phenomenon of high energy lithium-ion batteries (LIBs) using a silicon monoxide (SiO) anode and a nickel-rich transition metal oxide cathode were investigated during life test. The capacity loss of this electrode couple was found to increase not only with cycles (cycle life), but also with rest time (calendar life). The capacity fading rate for this type of LIB using SiO as the anode was found to be time-dependent, rather than cycle-count-dependent. Further detailed investigation revealed that the capacity loss of this electrode couple during rest was caused by the parasitic reactions on the anode, which consumed the lithium ions and lead to less cyclable lithium in the battery system. © The Author ( To date, rechargeable Li-ion batteries (LIBs) offer the highest energy density of any battery technology and are expected to provide a solution for our future energy-storage requirements. 1 The energy density of LIBs still needs to be further improved in order for the adoption of the technology to be more widespread and economically compelling. Therefore, there is an increasing need to develop even higher energy density cathode and anode materials.Silicon monoxide (SiO) has been studied as the next-generation anode material for lithium-ion batteries due to its high energy density. SiO offers a theoretical volumetric capacity of 1547 Ah/L and gravimetric capacity of 1710 mAh/g, which are 2 times and 5 times respectively of the commercially used graphite.2 The use of SiO as the anode can lead to 18% increase in volumetric energy density on the cell stack level, making it a promising candidate for the next generation anode for lithium-ion batteries. 2In order to replace graphite with SiO as the anode, its lifetime, as one of the most important characteristics of LIBs, should be investigated. The lifetime of LIBs includes both cycle life and calendar life. The cycle life of LIBs is determined by measuring the capacity (energy) retention during continuous charge and discharge cycling. The calendar life of LIBs is determined by measuring the capacity (energy) retention when the LIBs are at rest at certain state of charge (SOC). [3][4][5][6] Currently, the most commercially used anode material for LIBs is graphite. Some cycle life and calendar life studies have been conducted. Most studies suggested that the cycle life of lithium ion batteries using a graphite anode was generally attributed to the lithium consuming side reactions on the graphite anode.7,8 Similar observation was reported for the calendar life of LIBs using a graphite anode. 9,10 Faster capacity fade can be observed in the cycle test than during the calendar aging, 4 likely due to the materials degradation caused by lithiation/delithiation, especially at higher rates. Furthermore, the impact of state of charge (SOC) on the calendar life of LIB was also studied. While some work suggested that the SOC has great impact on the calendar life, 3,4 others believed that the SOC has only secondary effect on the calendar life of LIBs. 5,9 SiO is i...

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supporting

confidence: 78%

Calendar and Cycle Life of Lithium-Ion Batteries Containing Silicon Monoxide Anode

Zhang

Qin

et al. 2018

J. Electrochem. Soc.

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“…54,55 In our study, the cell properties, such as material properties, initial conditions, and equilibrium potential functions, are as shown in Table I mesocarbon micro-bead pouch cells. [56][57][58][59] Using an approach similar to White's investigation in the behavior of these cells, this study first assumes that at slow discharge rates Eqs. 1 and 2 can be used to determine a uniform flux on the electrode surface.…”

Section: Methodsmentioning

confidence: 99%

Morphological Influence in Lithium-Ion Battery 3D Electrode Architectures

Martin

Chen

Mukherjee

et al. 2015

J. Electrochem. Soc.

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The performance of lithium-ion batteries is limited by suboptimal energy density and power capability. A feasible approach is designing 3D electrode architectures where lithium ion transport in the electrolyte and active material can be optimized for improving the energy/power density. In this study, the influence of active material morphology and 3D electrode configurations is investigated with particular emphasis on solid-state transport and resulting implications on the performance. A morphology-detailed computational modeling is presented which simulates lithium transport in disparate 3D electrode configurations. The resulting lithium concentration in the 3D electrode constructs during discharging, relaxation, and charging process reveal a local sate of charge map. This is correlated with the electrode performance. This study demonstrates the role of active particle morphology and 3D architecture on the electrode relaxation behavior, which determines the resulting concentration gradient and performance.Lithium-ion batteries (LIBs) are ubiquitous in portable electronics and at the forefront of vehicle electrification and grid storage. 1-5 The increasing demand and performance requirements leave the development of LIBs an active field of research. A key challenge is to design cells with concurrent high energy density and high power capability. To increase the energy and power density, a decrease in the ionic transport pathway is desirable, which includes strategies involving reduction in the separation distance between two electrodes (anode and cathode) and the thickness of the porous electrodes. 6 However, these have adverse consequences such as penalty in the energy density. Thus, the trade-off between power and energy density is an important design consideration in LIBs, especially for micro-batteries. [7][8][9][10][11][12][13][14][15][16] To optimize the trade-off between energy and power density, three dimensional (3D) electrode architectures for electrochemical energy storage devices, particularly lithium-ion batteries, have been proposed. 17-19 Different from the 2D structure, which can be represented as a sandwich, the 3D-electrode based cell configuration consists of the electrode, electrolyte, separator, and current collector in a more complex spatial distribution. 7,8 The complex 3D-architecture decreases the distance between positive and negative electrode, and increases the internal surface area. 20 The decrease of ionic transport resistance and inhomogeneous current density distribution increases the power density. 8 Different 3D electrode architectures have been proposed, such as trench geometry, 20-22 interdigitated geometry, 23 and sponge geometry. 9,24,25 However, the 3D configuration may increase the diffusion length inside the active material, which may result in a higher concentration gradient and negatively impact cell performance, e.g. charging time, capacity and impedance. [26][27][28][29][30][31] To avoid this deleterious effect, few studies considered active material embedded into inte...

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“…During formation cycles, some amount cyclable lithium is lost for the formation of solid electrolyte interface (SEI) layer. So, it is difficult to assume the state of charge of individual electrodes when a full cell is charged to certain end of charge voltage or discharged to a certain end of discharge voltage at the end of formation cycles as explained by Kumaresan et al (11) The method of using the characteristic points on the open circuit potential vs. state of charge profiles of individual electrodes as reference points on the slow rate discharge profiles of full cells, as explained by these authors is used here to estimate the initial state of charge of individual electrodes. But the open circuit potential vs. state of charge profiles of individual electrodes used here are more accurate as they were measured using a separate reference electrode.…”

Section: Parameter Estimationmentioning

confidence: 99%

Comparison of Thermal-Electrochemical Model Predictions with Experimental Data of Lithium-Ion Batteries

2007

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A set of parameters (and their concentration and temperature dependences) has been obtained for a lithium-ion battery composed of a MCMB anode, LiCoO 2 cathode in 1M LiPF 6 in a mixture of ethylene carbonate (EC), propylene carbonate (PC), ethyl-methyl carbonate (EMC) and di-ethyl carbonate (DEC) electrolyte. The parameter set was obtained by comparing the model simulations to the experimental discharge profiles obtained at various temperatures and rates. The concentration and temperature dependence of the extracted parameters were correlated through empirical expressions. These correlations can be used to predict the discharge process of a lithium-ion battery for different charge/discharge rates and temperatures. IntroductionThe comparison of experimental charge and discharge data with mathematical models helps battery engineers, first, to understand how various parametersthermodynamic, kinetic and design -determines the performance of the battery under various operating condition like charge / discharge rate, temperature etc and then to use the model along with the parameters determined from the above comparison to explore the performance of the battery under different operating conditions thus reducing the number of time consuming experiments required. Such comparisons have been made for batteries of various chemistries (1,2,3,4,5) and the estimated parameters have been used in optimizing those batteries for different intended end uses. In all of the above, the comparisons have been done for experimental data only at a single temperature using isothermal model. Experimentally obtained correlations were used in them to describe the concentration dependence of the liquid phase ionic conductivity only. Temperature and concentration dependence of other transport properties like salt diffusion coefficient, transference number and mean molar activity of salt have been neglected in most of the existing models.

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Cycle life performance of lithium-ion pouch cells

Cited by 49 publications

References 10 publications

Calendar and Cycle Life of Lithium-Ion Batteries Containing Silicon Monoxide Anode

Calendar and Cycle Life of Lithium-Ion Batteries Containing Silicon Monoxide Anode

Morphological Influence in Lithium-Ion Battery 3D Electrode Architectures

Comparison of Thermal-Electrochemical Model Predictions with Experimental Data of Lithium-Ion Batteries

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