Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials

Chen, Y.-H.; Wang, C.-W.; Zhang, Xinshu; Sastry, Ann Marie

doi:10.1016/j.jpowsour.2009.11.044

Cited by 207 publications

(155 citation statements)

References 33 publications

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“…The initial capacity was considered 155mAh/g for the NMC-111 and 350mAh/g for the graphite [8]. Irreversible capacity was assumed between 5% and 10%, whereas the active material share was considered larger than 90% of the total electrode mass [9]. The cell energy is then calculated by multiplying the cathode active material mass with the specific capacity and the first cycle efficiency.…”

Section: Energy and Power Calculationmentioning

confidence: 99%

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Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Tschech¹,

Vietor²

2015

WEVJ

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The cost situation for lithium-ion batteries is one of the key limitations for the market potential of electric vehicles and has been covered by several authors from the industry and science sector. This work addresses the relation between active material properties, cell design and vehicle requirements. The results of this investigation show that the efficient use of the cell properties in the vehicle application will be decisive for the competitiveness of OEMs and battery suppliers.The center of the research is a cell model in which different active material properties, cell formats and electrode layouts can be implemented flexibly. Within a constant volume of a standardized cell housing the variation of the electrode loadings leads to relationships between the storable energy and the power of the cell. The costs determined for each specific cell design then allow describing the relation between the power to energy ratio of a cell and its energy specific costs for current and future materials.The optimal cost situation is reached when the P/E-ratio of the cell matches the required P/E-ratio of the storage system. In a broad vehicle portfolio this means a specific cell would be required for each car project. This potentially large number of cell types seems unfavorable for OEMs to handle. Therefore a genetic algorithm optimization is applied to determine the cost-optimal number and specifications of cells to address a certain vehicle portfolio. For these optimizations further restrictions such as voltage level limitations are considered as well.The tool derived from these considerations can support OEMs as well as cell & material suppliers to find the optimal modular kit for their lithium-ion cell strategy considering individual customer requirements.

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Section: Energy and Power Calculationmentioning

confidence: 99%

“…min min (9) In order to identify the cost-optimal P/E-ratios for more than one cell serving the vehicle portfolio the minimum cost weighted distance d n,j needs to be identified by evaluation of power and energy oversizing to all m cell variants.…”

Section: Determination Of Cost Minimum Number Of Cell Variantsmentioning

confidence: 99%

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Tschech¹,

Vietor²

2015

WEVJ

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“…[14][15][16][17] Many of these numerical studies are based on the mathematical models developed by Newman et al.…”

Section: Introductionmentioning

confidence: 99%

Model Prediction and Experiments for the Electrode Design Optimization of LiFePO₄/Graphite Electrodes in High Capacity Lithium-ion Batteries

Yu¹,

Kim²,

Kim³

et al. 2013

Bulletin of the Korean Chemical Society

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LiFePO 4 is a promising active material (AM) suitable for use in high performance lithium-ion batteries used in automotive applications that require high current capabilities and a high degree of safety and reliability. In this study, an optimization of the electrode design parameters was performed to produce high capacity lithium-ion batteries based on LiFePO 4 /graphite electrodes. The electrode thickness and porosity (AM density) are the two most important design parameters influencing the cell capacity. We quantified the effects of cathode thickness and porosity (LiFePO 4 electrode) on cell performance using a detailed one-dimensional electrochemical model. In addition, the effects of those parameters were experimentally studied through various coin cell tests. Based on the numerical and experimental results, the optimal ranges for the electrode thickness and porosity were determined to maximize the cell capacity of the LiFePO 4 /graphite lithium-ion batteries.

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“…The latter has sometimes been considered as more important factors by many manufacturers. Unfortunately, there are limited research works on electrode design parameters such as density and thickness, [8][9][10][11][12][13][14][15] and moreover they are not various and wide enough to understand many parameters in a variety of points of view.…”

Section: Introductionmentioning

confidence: 99%

Effect of LiCoO₂Cathode Density and Thickness on Electrochemical Performance of Lithium-Ion Batteries

Choi¹,

Son²,

Ryou³

et al. 2013

Journal of Electrochemical Science and Technology

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ABSTRACT:The consequences of electrode density and thickness for electrochemical performance of lithiumion cells are investigated using 2032-type coin half cells. While the cathode composition is maintained by 90:5:5 (wt.%) with LiCoO 2 active material, Super-P electric conductor and polyvinylidene fluoride polymeric binder, its density and thickness are independently controlled to 20, 35, 50 um and 1.5, 2.0, 2.5, 3.0, 3.5 g cm , respectively, which are based on commercial lithium-ion battery cathode system. As the cathode thickness is increased in all densities, the rate capability and cycle life of lithium-ion cells become significantly worse. On the other hand, even though the cathode density shows similar behavior, its effect is not as high as the thickness in our experimental range. This trend is also investigated by cross-sectional morphology, porosity and electric conductivity of cathodes with different densities and thicknesses. This work suggests that the electrode density and thickness should be chosen properly and mentioned in detail in any kinds of research works.

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Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials

Cited by 207 publications

References 33 publications

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Model Prediction and Experiments for the Electrode Design Optimization of LiFePO₄/Graphite Electrodes in High Capacity Lithium-ion Batteries

Effect of LiCoO₂Cathode Density and Thickness on Electrochemical Performance of Lithium-Ion Batteries

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Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials

Cited by 207 publications

References 33 publications

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Model Prediction and Experiments for the Electrode Design Optimization of LiFePO4/Graphite Electrodes in High Capacity Lithium-ion Batteries

Effect of LiCoO2Cathode Density and Thickness on Electrochemical Performance of Lithium-Ion Batteries

Contact Info

Product

Resources

About

Model Prediction and Experiments for the Electrode Design Optimization of LiFePO₄/Graphite Electrodes in High Capacity Lithium-ion Batteries

Effect of LiCoO₂Cathode Density and Thickness on Electrochemical Performance of Lithium-Ion Batteries