  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.
