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

The Doyle-Fuller-Newman (DFN) 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 DFN model that have been reported in the literature. Video Abstract: Pushing the boundaries of lithium battery research with atomistic modelling on different scales

Automated summary

The article critically reviews the methods for measuring or inferring parameters within the isothermal DFN framework for lithium-ion batteries, and provides a searchable database of parameters for the standard DFN model. It discusses the advantages, disadvantages, and limitations of these methods.