journal article·2022-05Open access

Toward a Unified Description of Battery Data

Simon Clark, Francesca L. Bleken, Simon Stier, Eibar Flores, Casper Welzel Andersen, Marek Marcinek, Anna Szczesna‐Chrzan, Miran Gaberscek, M. Rosa Palacin, Martin Uhrin, Jesper Friis

Advanced Energy Materials· Volume 12· Issue 17

Abstract

Abstract Battery research initiatives and giga‐scale production generate an abundance of diverse data spanning myriad fields of science and engineering. Modern battery development is driven by the confluence of traditional domains of natural science with emerging fields like artificial intelligence and the vast engineering and logistical knowledge needed to sustain the global reach of battery Gigafactories. Despite the unprecedented volume of dedicated research targeting affordable, high‐performance, and sustainable battery designs, these endeavours are held back by the lack of common battery data and vocabulary standards, as well as, machine readable tools to support interoperability. An ontology is a data model that represents domain knowledge as a map of concepts and the relations between them. A battery ontology offers an effective means to unify battery‐related activities across different fields, accelerate the flow of knowledge in both human‐ and machine‐readable formats, and support the integration of artificial intelligence in battery development. Furthermore, a logically consistent and expansive ontology is essential to support battery digitalization and standardization efforts, such as, the battery passport. This review summarizes the current state of ontology development, the needs for an ontology in the battery field, and current activities to meet this need.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Data Processing Techniques · Advanced Battery Technologies Research · Fault Detection and Control Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

New Energy Solutions SINTEF Industry Sem Sælands Vei 12 Trondheim 7034 Norway

Process Technology SINTEF Industry Forskningsveien 1 Oslo 0373 Norway

Fraunhofer Institute for Silicate Research ISC Digital Transformation Neunerplatz 2 97082 Würzburg Germany

Department of Energy Conversion and Storage Technical University of Denmark Anker Engelunds Vej 411, Building 301 Kgs. Lyngby DK‐2800 Denmark

Materials and Nanotechnology SINTEF Industry Høgskoleringen 5 Trondheim 7034 Norway

Faculty of Chemistry Warsaw University of Technology ul. Noakowskiego 3 Warsaw 00‐664 Poland

Department for Materials Chemistry National Institute of Chemistry Hajdrihova 19 Ljubljana SI‐1000 Slovenia

Institut de Ciència de Materials de Barcelona ICMAB‐CSIC Campus UAB Bellaterra Catalonia 08193 Spain

References (100+)

Show source-provided references
1. 10.1021/acs.nanolett.0c0434710.1021/acs.nanolett.0c04347 ↗
2. 10.3390/en1414422310.3390/en14144223 ↗
3. World Economic Forum · 2019
4. IPCC · 2021
5. S.Babinec E. J.Dufek D. A.Howey V.Viswanathan M.Aykol D. A. C.Beck B.Blaiszik B. R.Chen G.Crabtree V.De Angelis P.Dechent M.Dubarry E. E.Eggleton D. P.Finegan I.Foster C.Gopal P. K.Herring V. W.Hu N. H.Paulson Y.Preger D. U.Sauer K.Smith S. W.Snyder S.Sripad T. R.Tanim L.Teo Principles of the Battery Data Genome (Preprint) arXiv:2109.07278 v3 submitted Sept.2021.
6. 10.1016/j.joule.2021.06.00510.1016/j.joule.2021.06.005 ↗
7. 10.1038/s41467-020-15235-710.1038/s41467-020-15235-7 ↗
8. 10.1038/s41586-020-1994-510.1038/s41586-020-1994-5 ↗
9. 10.1038/s41578-020-0216-y10.1038/s41578-020-0216-y ↗
10. 10.1016/j.egyai.2021.10008110.1016/j.egyai.2021.100081 ↗
11. Wilkinso M. D. · Sci. Data · 2016 · 3 · 1
12. 10.3233/ISU-17082410.3233/ISU-170824 ↗
13. 10.1021/acsenergylett.1c0087010.1021/acsenergylett.1c00870 ↗
14. 10.1016/j.joule.2020.12.02610.1016/j.joule.2020.12.026 ↗
15. 10.1021/acsenergylett.9b0051010.1021/acsenergylett.9b00510 ↗
16. 10.1016/j.jpowsour.2020.22782410.1016/j.jpowsour.2020.227824 ↗
17. 10.1149/2.0691916jes10.1149/2.0691916jes ↗
18. 10.1016/j.joule.2019.02.00410.1016/j.joule.2019.02.004 ↗
19. 10.3390/electronics901015210.3390/electronics9010152 ↗
20. 10.1016/j.joule.2019.03.02810.1016/j.joule.2019.03.028 ↗
21. 10.1038/s41467-017-01586-110.1038/s41467-017-01586-1 ↗
22. 10.1007/978-3-642-29551-510.1007/978-3-642-29551-5 ↗
23. Smith B. · 2008
24. 10.3233/AO-17018510.3233/AO-170185 ↗
25. 10.1038/7555610.1038/75556 ↗
26. 10.1093/nar/gky105510.1093/nar/gky1055 ↗
27. Gene Ontology Resource http://geneontology.org/(accessed: August2021).
28. 10.1145/179606.17967110.1145/179606.179671 ↗
29. 10.1038/scientificamerican0501-3410.1038/scientificamerican0501-34 ↗
30. Bizer C. · 2011
31. Fensel D. · 2002
32. D. L.McGuinness F.vanHarmelen OWL Web Ontology Language2004 https://www.w3.org/TR/owl-features/(accessed: August2021).
33. 10.1016/j.websem.2008.05.00110.1016/j.websem.2008.05.001 ↗
34. Protege https://protege.stanford.edu/(accessed: August2021).
35. Protege Wiki https://protegewiki.stanford.edu/wiki/Main_Page(accessed: August2021).
36. 10.1016/j.artmed.2017.07.00210.1016/j.artmed.2017.07.002 ↗
37. 10.1007/s10817-014-9305-110.1007/s10817-014-9305-1 ↗
38. 10.1016/j.websem.2007.03.00410.1016/j.websem.2007.03.004 ↗
39. Python API for EMMO https://github.com/emmo-repo/EMMO-python(accessed: August2021).
40. Tsarkov D. · 2006
41. Gruber T. · 2016 · 1
42. C.Partridge A.Mitchell A.Cook D.Leal J.Sullivan M.West A survey of Top‐Level Ontologies – to inform the ontological choices for a Foundation Data Model CDBB 2020 https://doi.org/10.17863/CAM.58311(accessed: August2021).
43. European Materials Modelling Council The EMMC Roadmap for Materials Modelling and Digitalisation of the Materials Sciences Brussels Belgium EMMC ASBL 2020 https://zenodo.org/record/4272033#.YaP32_nMKUk(accessed: August2021).
44. Varzi A. C. · Appl. Ontol. · 2005 · 2 · 141
45. 10.1037/12811-00010.1037/12811-000 ↗
46. IUCr https://www.iucr.org/resources/cif/ddl/ddlm(accessed: August2021).
47. IUCr https://www.iucr.org/resources/cif/dictionaries(accessed: August2021).
48. 10.1007/s13218-020-00648-910.1007/s13218-020-00648-9 ↗
49. Baas A. F. · 2017
50. European Committee for Standardization · 2018
51. OSMO: Ontology for Simulation Modelling and Optimization https://zenodo.org/record/5084394#.YS587fozaUk(accessed: August2021).
52. 10.1016/j.mtcomm.2019.10054110.1016/j.mtcomm.2019.100541 ↗
53. The Product Types Ontology http://www.productontology.org/(accessed: August2021).
54. The SEAS Battery Ontology https://ci.mines-stetienne.fr/seas/BatteryOntology(accessed: August2021).
55. Ontology for Sensor Network https://www.w3.org/2005/Incubator/ssn/ssnx/energy/ssn-energy.htmlaccessed: August2021).
56. 10.1515/pac-2018-010910.1515/pac-2018-0109 ↗
57. IUPAC · 2021
58. Electrochemistry Dictionary and Encyclopedia https://knowledge.electrochem.org/ed/dict.htm(accessed: August2021).
59. International Electrotechnical Commission · 2014
60. International Electrotechnical Commission IEC 60050 ‐ International Electrotechnical Vocabulary2021 https://www.electropedia.org/(accessed: August2021).
61. G.Deepak A.Ayush Kumar A.Santhanavijayan N.Prakash in2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON‐ECE) IEEE2019.
62. 2021
63. IEEE · 2016
64. 10.1016/j.procir.2020.01.12510.1016/j.procir.2020.01.125 ↗
65. Battery Interface Ontology (BattINFO) https://github.com/BIG-MAP/BattINFO(accessed: August2021).
66. BIG‐MAP https://www.big-map.eu/(accessed: August2021).
67. Newman J. · 2004
68. Bard A. J. · 2001
69. Linden D. · 2002
70. 10.1021/accountsmr.1c0002610.1021/accountsmr.1c00026 ↗
71. 10.1016/j.ssi.2015.02.00610.1016/j.ssi.2015.02.006 ↗
72. Cohen E. R. · Int. Union Pure Appl. Chem. · 2007 · 233 · 11
73. 10.1515/pac-2014-502610.1515/pac-2014-5026 ↗
74. Elementary Multiperspective Material Ontology (EMMO) https://github.com/emmo-repo/(accessed: August2021).
75. BVCO https://gitlab.cc-asp.fraunhofer.de/ISC-Public/ISC-Digital/ontology/bvco(accessed: August2021).
76. GPO https://gitlab.cc-asp.fraunhofer.de/ISC-Public/ISC-Digital/ontology/gpo(accessed: August2021).
77. M.Uschold R.Jasper inProceedings of the IJCAI‐99 workshop on Ontologies and Problem‐Solving Methods(Eds:V. R.Benjamins B.Chandrasekaran A.Gomez‐Perez N.Guarino M.Uschold) Stockholm1999.
78. 10.1021/acs.chemrev.8b0023910.1021/acs.chemrev.8b00239 ↗
79. 10.1088/1361-651X/ab620910.1088/1361-651X/ab6209 ↗
80. Wang A. A. · arXiv · 2021 · 2110.09879
81. M.Meyer Z.Yu P.Gulati A.Delforouzi J.Roggenbuck K.Wolf Ontologies for Digital Twins in Smart Manufacturing Fraunhofer ACSI Sankt Augustin Germany2020 http://doi.org/10.13140/RG.2.2.11346.17607(accessed: August2021).
82. 10.1016/j.rcim.2019.10186110.1016/j.rcim.2019.101861 ↗
83. 10.1007/s10845-018-1427-610.1007/s10845-018-1427-6 ↗
84. Singh S. · Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. · 2020
85. 10.1016/j.promfg.2018.12.03310.1016/j.promfg.2018.12.033 ↗
86. 10.1080/17517575.2018.152632410.1080/17517575.2018.1526324 ↗
87. Happel H.‐J. · Int. J. Prod. Perform. Manag. · 2005 · 54 · 1
88. 10.1016/j.mattod.2020.09.00110.1016/j.mattod.2020.09.001 ↗
89. 10.1016/j.jpowsour.2021.23002410.1016/j.jpowsour.2021.230024 ↗
90. H.Dehainsala G.Pierra L.Bellatreche inAdvances in Databases: Concepts Systems and Applications(Eds:R.Kotagiri P. R.Krishna M.Mohania E.Nantajeewarawat) Springer Berlin2007.
91. Bry F. · 2012 · 32910.1007/978-3-642-33158-9_9 ↗
92. 10.1109/MCC.2017.425093110.1109/MCC.2017.4250931 ↗
93. 10.1002/batt.20200028810.1002/batt.202000288 ↗
94. 10.1038/s41597-020-00602-210.1038/s41597-020-00602-2 ↗
95. 10.1088/2515-7639/ab361110.1088/2515-7639/ab3611 ↗
96. 10.1186/1758-2946-3-1710.1186/1758-2946-3-17 ↗
97. 10.1021/acs.jcim.6b0020710.1021/acs.jcim.6b00207 ↗
98. 10.1016/j.jpowsour.2020.22880610.1016/j.jpowsour.2020.228806 ↗
99. M.Krötzsch D.Vrandečić M.Völkel inThe Semantic Web – ISWC Springer Berlin2006pp.935–942.10.1007/11926078_68 ↗
100. D.Vrandecic M.Krötzsch inProceedings of the First Workshop on Semantic Wikis – From Wiki To Semantics(Eds:M.Voelkel S.Schaffert)2006 206.