Principles of the Battery Data Genome

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

doi:10.48550/arxiv.2109.07278

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“…Open battery data repositories like this will continue to aid researchers across the energy storage spectrum. For example, the Battery Genome and Battery Archive initiatives both provide frameworks for open-source data sharing [248,249]. Reis et al [250] have also summarised public sources of battery cycling aging data for different chemistries and operating conditions.…”

Section: Parameter Databasementioning

confidence: 99%

Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models

et al. 2022

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The Doyle--Fuller--Newman framework is the most popular physics-based continuum-level description of the chemical and dynamical internal processes within operating lithium-ion-battery cells. With sufficient flexibility to model a wide range of battery designs and chemistries, the framework provides an effective balance between detail, needed to capture key microscopic mechanisms, and simplicity, needed to solve the governing equations at a relatively modest computational expense. Nevertheless, implementation requires values of numerous model parameters, whose ranges of applicability, estimation, and validation pose challenges. This article provides a critical review of the methods to measure or infer parameters for use within the isothermal DFN framework, discusses their advantages or disadvantages, and clarifies limitations attached to their practical application. Accompanying this discussion we provide a searchable database, available at www.liiondb.com, which aggregates many parameters and state functions for the standard Doyle--Fuller--Newman model that have been reported in the literature.

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Section: Parameter Databasementioning

confidence: 99%