A Minimal Information Set to Enable Verifiable Theoretical Battery Research

Funding

The authors thank the Battery Modeling Webinar Series (BMWS) Slack community which provided immense feedback and a way to solicit inputs from a large and diverse portion of the modeling community. The authors acknowledge inputs from Alexandra K. Stephan on the checklist. A.M. gratefully acknowledges support from Argonne National Laboratory. Argonne National Laboratory is operated for the U.S. Department of Energy Office of Science by UChicago Argonne, LLC, under contract number DE-AC02-06CH11357. A.V., P.G., and A.C. are supported by the National Renewable Energy Laboratory which is operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy under Contract No. DE-AC36-08GO28308 A.B. acknowledges funding from the NASA Aeronautics Mission Research Directorate’s (ARMD) Transformational Tools and Technologies (TTT) Project. C.D.S. is supported by the U.S. Department of Energy, Office of Science through contract DE-AC02-05CH11231 between Lawrence Berkeley National Laboratory and the U.S. Department of Energy. E.K. acknowledges funding by Agency for Science, Technology and Research (A*STAR) under the Career Development Fund (C210112037). S.A. is supported by Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725. S.A.R. is supported by the Laboratory Directed Research and Development program at Sandia National Laboratories, a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.