Efficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries

Lin, Nan; Xie, Xue‐Jun; Schenkendorf, René; Krewer, Ulrike

doi:10.1149/2.1301805jes

Cited by 44 publications

(38 citation statements)

References 66 publications

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“…Therefore, we assign an average conductivity of the AM and carbon black to the solid phase. The resulting effective conductivity of the entire electrode was 0.0914 (±0.0025) S m −1 , which was in the range commonly reported in the modeling of Li‐Ion batteries . An extension of the model considering the contribution of the CBD separately is planned for future work.…”

Section: Methodsmentioning

confidence: 58%

Manufacturing Process for Improved Ultra‐Thick Cathodes in High‐Energy Lithium‐Ion Batteries

et al. 2019

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The effect of the mixing and drying process on the microstructure of ultra‐thick NCM 622 cathodes (50 mg cm−2, 8 mAh cm−2) and its implication for battery performance is investigated. It is observed that the shear force during the mixing process significantly influences the resulting microstructure with regard to binder migration during the drying process. Based on the information extracted from scanning electron microscopy–energy dispersive X‐ray spectroscopy (SEM–EDX) cross sections, the carbon binder domain (CBD) is distributed in the pore space of virtual electrodes generated by a stochastic 3D microstructure model. Simulations predict a CBD configuration that leads to optimal performance of the electrode. Furthermore, it is shown that a low drying rate has a beneficial influence toward the rate capability of the ultra‐thick cathodes. The specific energy of an ultra‐thick cathode is 18% higher compared with a cathode prepared according to the state of the art. With an improved process in a pilot scale, the advantage can be kept up to current densities of at least 3 mA cm−².

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Section: Methodsmentioning

confidence: 58%

Manufacturing Process for Improved Ultra‐Thick Cathodes in High‐Energy Lithium‐Ion Batteries

et al. 2019

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“…For a rigorous study of technology performance parameter effects on the Quantity of Interest (QoI) (e.g., degree of hybridization, total mass of the energy system, etc. ), the analysis of parameter sensitivities is an effective tool (Laoun et al, 2016;Zhao and Howey, 2016;Lin et al, 2018;Zhou et al, 2018). As local sensitivity measures address the effect of individual parameters under the simplifying assumption of linear "causeeffect" relations (Campolongo et al, 2000;Morio, 2011), the global sensitivity analysis (GSA) is the method of choice in this study.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Design of Fuel Cell Systems for Aviation: Representative Mission Profiles and Sensitivity Analyses

et al. 2019

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The global transition to a clean and sustainable energy infrastructure does not stop at aviation. The European Commission defined a set of environmental goals for the "Flight Path 2050": 75% CO 2 reduction, 90% NO x reduction, and 65% perceived noise reduction. Hydrogen as an energy carrier fulfills these needs, while it would also offer a tenable and flexible solution for intermittent, large-scale energy storage for renewable energy networks. If hydrogen is used as an energy carrier, there is no better device than a fuel cell to convert its stored chemical energy. In order to design fuel cell systems for passenger aircraft, it is necessary to specify the requirements that the system has to fulfill. In this paper, a statistical approach to analyze these requirements is presented, which accounts for variations in the flight mission profile. Starting from a subset of flight data within the desired class (e.g., mid-range inter-European flights) a stochastic model of the random mission profile is inferred. This model allows for subsequent predictions under uncertainty as part of the aircraft design process. By using Monte Carlo-based sampling of flight mission profiles, the range of necessary component sizes, as well as optimal degrees of hybridization with a battery, is explored, and design options are evaluated. Furthermore, Monte Carlo-based sensitivity analysis of performance parameters explores the potential of future technological developments. Results suggest that the improvement of the specific power of the fuel cell is the deciding factor for lowering the energy system mass. The specific energy of the battery has a low influence but acts in conjunction with the specific power of the fuel cell.

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“…GSA is a valuable tool for determining the impact of individual parameters and parameter combinations on the result of a mathematical model for given parameter variations [41,[47][48][49][50][51]. Thus, GSA determines the most relevant parameters and parameter uncertainties to be considered in RO.…”

Section: Global Sensitivity Analysismentioning

confidence: 99%

Toward a Comprehensive and Efficient Robust Optimization Framework for (Bio)chemical Processes

2018

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Model-based design principles have received considerable attention in biotechnology and the chemical industry over the last two decades. However, parameter uncertainties of first-principle models are critical in model-based design and have led to the development of robustification concepts. Various strategies have been introduced to solve the robust optimization problem. Most approaches suffer from either unreasonable computational expense or low approximation accuracy. Moreover, they are not rigorous and do not consider robust optimization problems where parameter correlation and equality constraints exist. In this work, we propose a highly efficient framework for solving robust optimization problems with the so-called point estimation method (PEM). The PEM has a fair trade-off between computational expense and approximation accuracy and can be easily extended to problems of parameter correlations. From a statistical point of view, moment-based methods are used to approximate robust inequality and equality constraints for a robust process design. We also apply a global sensitivity analysis to further simplify robust optimization problems with a large number of uncertain parameters. We demonstrate the performance of the proposed framework with two case studies: (1) designing a heating/cooling profile for the essential part of a continuous production process; and (2) optimizing the feeding profile for a fed-batch reactor of the penicillin fermentation process. According to the derived results, the proposed framework of robust process design addresses uncertainties adequately and scales well with the number of uncertain parameters. Thus, the described robustification concept should be an ideal candidate for more complex (bio)chemical problems in model-based design.

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Efficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries

Cited by 44 publications

References 66 publications

Manufacturing Process for Improved Ultra‐Thick Cathodes in High‐Energy Lithium‐Ion Batteries

Manufacturing Process for Improved Ultra‐Thick Cathodes in High‐Energy Lithium‐Ion Batteries

Design of Fuel Cell Systems for Aviation: Representative Mission Profiles and Sensitivity Analyses

Toward a Comprehensive and Efficient Robust Optimization Framework for (Bio)chemical Processes

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