Principles of the Battery Data Genome

Ward, Logan; Babinec, Susan; Dufek, Eric J.; Howey, David A.; Viswanathan, Venkatasubramanian; Aykol, Muratahan; Beck, David A.C.; Blaiszik, Benjamin; Chen, Bor-Rong; Crabtree, George; Clark, Simon; De Angelis, Valerio; Dechent, Philipp; Dubarry, Matthieu; Eggleton, Erica E.; Finegan, Donal P.; Foster, Ian; Gopal, Chirranjeevi Balaji; Herring, Patrick K.; Hu, Victor W.; Paulson, Noah H.; Preger, Yuliya; Uwe-Sauer, Dirk; Smith, Kandler; Snyder, Seth W.; Sripad, Shashank; Tanim, Tanvir R.; Teo, Linnette

doi:10.1016/j.joule.2022.08.008

Title: Principles of the Battery Data Genome

Journal Article · 01 October 2022 · Joule

DOI:https://doi.org/10.1016/j.joule.2022.08.008· OSTI ID:1903235

Ward, Logan ^[1]; Babinec, Susan ^[1];

^[2]; Howey, David A. ^[3]; Viswanathan, Venkatasubramanian ^[4]; Aykol, Muratahan ^[5]; Beck, David A.C. ^[6]; Blaiszik, Benjamin ^[7]; Chen, Bor-Rong ^[2]; Crabtree, George ^[8]; Clark, Simon ^[9]; De Angelis, Valerio ^[10]; Dechent, Philipp ^[11]; Dubarry, Matthieu ^[12]; Eggleton, Erica E. ^[6]; Finegan, Donal P. ^[13]; Foster, Ian ^[1]; Gopal, Chirranjeevi Balaji ^[5]; Herring, Patrick K. ^[5]; Hu, Victor W. ^[6] more »

Argonne National Laboratory (ANL), Argonne, IL (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Univ. of Oxford (United Kingdom); Harwell Science and Innovation Campus, Didcot (United Kingdom). The Faraday Institution
Carnegie Mellon Univ., Pittsburgh, PA (United States)
Toyota Research Institute, Los Altos, CA (United States)
Univ. of Washington, Seattle, WA (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Illinois, Chicago, IL (United States)
New Energy Solutions, Trondheim (Norway)
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
RWTH Aachen Univ. (Germany); Helmholtz Institute Münster (HI MS), Aachen (Germany)
Univ. of Hawaii, Honolulu, HI (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Batteries are central to modern society. They are no longer just a convenience but a critical enabler of the transition to a resilient, low-carbon economy. Battery development capabilities are provided by communities spanning materials discovery, battery chemistry and electrochemistry, cell and pack design, scale-up, manufacturing, and deployments. Despite their relative maturity, data-science practices among these diverse groups are far behind the state of the art in other fields, which have demonstrated an ability to significantly improve innovation and economic impact. The negative consequences of the present paradigm include incremental improvements but few breakthroughs, significant manufacturing uncertainties, and cascading investment risks that collectively slow deployments. The primary roadblock to a battery-data-science renaissance is the requirement for large amounts of high-quality data, which are not available in the current fragmented ecosystem. Here, in this study, we identify gaps and propose principles that enable the solution by building a robust community of data hubs with standardized practices and flexible sharing options that will seed advanced tools spanning innovation to deployment. Precedents are offered that demonstrate that both public good and immense economic gains will arise from sharing valuable battery data. The proposed Battery Data Genome looks to broadly transform innovations and revolutionize their translation from research to societal impact.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC); US Department of the Navy, Office of Naval Research (ONR); State of Hawaii; USDOE Office of Electricity (OE); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office; European Union (EU); German Federal Ministry of Education and Research (BMBF); German Council of Science and Humanities for funding of the Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems(CARL); US Army Research Office (ARO); Research England’s Connecting Capability Fund; Faraday Institution; German Council of Science and Humanities for funding of the Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL)

Grant/Contract Number:: AC07-05ID14517; AC02-06CH11357; N00014-18-1-2127; NA0003525; AC36-08GO28308; W911NF1710550; W911NF1810171; FIRG003; NA-0003525

OSTI ID:: 1903235

Alternate ID(s):: OSTI ID: 1900012; OSTI ID: 2320224

Report Number(s):: INL/JOU-20-60259-Rev001; NREL/JA-5700-80849; TRN: US2311288

Journal Information:: Joule, Vol. 6, Issue 10; ISSN 2542-4351

Publisher:: Elsevier - Cell PressCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

25 ENERGY STORAGE
97 MATHEMATICS AND COMPUTING
open source
battery
data sharing
data hub
machine learning
artificial intelligence
software
standards

Title: Principles of the Battery Data Genome

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