Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures
The concept of a representative elementary volume (REV) is key for connecting results of pore-scale simulations with continuum properties of microstructures. Current approaches define REVs only based on their size as the smallest volume in a heterogeneous material independent of its location and und...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | Batteries |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-0105/9/7/390 |
| _version_ | 1797590290939248640 |
|---|---|
| author | Benjamin Kellers Martin P. Lautenschlaeger Nireas Rigos Julius Weinmiller Timo Danner Arnulf Latz |
| author_facet | Benjamin Kellers Martin P. Lautenschlaeger Nireas Rigos Julius Weinmiller Timo Danner Arnulf Latz |
| author_sort | Benjamin Kellers |
| collection | DOAJ |
| description | The concept of a representative elementary volume (REV) is key for connecting results of pore-scale simulations with continuum properties of microstructures. Current approaches define REVs only based on their size as the smallest volume in a heterogeneous material independent of its location and under certain aspects representing the same material at the continuum scale. However, the determination of such REVs is computationally expensive and time-consuming, as many costly simulations are often needed. Therefore, presented here is an efficient, systematic, and predictive workflow for the identification of REVs. The main differences from former studies are: (1) An REV is reinterpreted as one specificsub-volume of minimal size <i>at a certain location</i> that reproduces the relevant continuum properties of the full microstructure. It is therefore called a local REV (lREV) here. (2) Besides comparably cheap geometrical and statistical analyses, no further simulations are needed. The minimum size of the sub-volume is estimated using the simple statistical properties of the full microstructure. Then, the location of the REV is identified solely by evaluating the structural properties of all possible candidates in a very fast, efficient, and systematic manner using a penalty function. The feasibility and correct functioning of the workflow were successfully tested and validated by simulating diffusive transport, advection, and electrochemical properties for an lREV. It is shown that the lREVs identified using this workflow can be significantly smaller than typical REVs. This can lead to significant speed-ups for any pore-scale simulations. The workflow can be applied to any type of heterogeneous material, even though it is showcased here using a lithium-ion battery cathode. |
| first_indexed | 2024-03-11T01:18:29Z |
| format | Article |
| id | doaj.art-491e7225c13448dc98a4dbee5782991c |
| institution | Directory Open Access Journal |
| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-03-11T01:18:29Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj.art-491e7225c13448dc98a4dbee5782991c2023-11-18T18:19:19ZengMDPI AGBatteries2313-01052023-07-019739010.3390/batteries9070390Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode MicrostructuresBenjamin Kellers0Martin P. Lautenschlaeger1Nireas Rigos2Julius Weinmiller3Timo Danner4Arnulf Latz5German Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyGerman Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyGerman Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyGerman Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyGerman Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyGerman Aerospace Center (DLR), Institute of Engineering Thermodymanics, 89081 Ulm, GermanyThe concept of a representative elementary volume (REV) is key for connecting results of pore-scale simulations with continuum properties of microstructures. Current approaches define REVs only based on their size as the smallest volume in a heterogeneous material independent of its location and under certain aspects representing the same material at the continuum scale. However, the determination of such REVs is computationally expensive and time-consuming, as many costly simulations are often needed. Therefore, presented here is an efficient, systematic, and predictive workflow for the identification of REVs. The main differences from former studies are: (1) An REV is reinterpreted as one specificsub-volume of minimal size <i>at a certain location</i> that reproduces the relevant continuum properties of the full microstructure. It is therefore called a local REV (lREV) here. (2) Besides comparably cheap geometrical and statistical analyses, no further simulations are needed. The minimum size of the sub-volume is estimated using the simple statistical properties of the full microstructure. Then, the location of the REV is identified solely by evaluating the structural properties of all possible candidates in a very fast, efficient, and systematic manner using a penalty function. The feasibility and correct functioning of the workflow were successfully tested and validated by simulating diffusive transport, advection, and electrochemical properties for an lREV. It is shown that the lREVs identified using this workflow can be significantly smaller than typical REVs. This can lead to significant speed-ups for any pore-scale simulations. The workflow can be applied to any type of heterogeneous material, even though it is showcased here using a lithium-ion battery cathode.https://www.mdpi.com/2313-0105/9/7/390representative elementary volumeporous mediapore network modelinglattice Boltzmann methodcomputational electrochemistrylithium-ion battery |
| spellingShingle | Benjamin Kellers Martin P. Lautenschlaeger Nireas Rigos Julius Weinmiller Timo Danner Arnulf Latz Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures Batteries representative elementary volume porous media pore network modeling lattice Boltzmann method computational electrochemistry lithium-ion battery |
| title | Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures |
| title_full | Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures |
| title_fullStr | Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures |
| title_full_unstemmed | Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures |
| title_short | Systematic Workflow for Efficient Identification of Local Representative Elementary Volumes Demonstrated with Lithium-Ion Battery Cathode Microstructures |
| title_sort | systematic workflow for efficient identification of local representative elementary volumes demonstrated with lithium ion battery cathode microstructures |
| topic | representative elementary volume porous media pore network modeling lattice Boltzmann method computational electrochemistry lithium-ion battery |
| url | https://www.mdpi.com/2313-0105/9/7/390 |
| work_keys_str_mv | AT benjaminkellers systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures AT martinplautenschlaeger systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures AT nireasrigos systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures AT juliusweinmiller systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures AT timodanner systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures AT arnulflatz systematicworkflowforefficientidentificationoflocalrepresentativeelementaryvolumesdemonstratedwithlithiumionbatterycathodemicrostructures |