Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models. (1st July 2022)

• Record Type: Journal Article
• Authors: Wang, A A; O'Kane, S E J; Brosa Planella, F; Houx, J Le; O'Regan, K; Zyskin, M; Edge, J; Monroe, C W; Cooper, S J; Howey, D A; Kendrick, E; Foster, J M
• Is Part Of: Progress in energy. Volume 4:Number 3(2022)
• Publication Date: 2022-07-01
• Subjects: lithium-ion battery -- parameterisation -- Newman model -- database -- modelling -- experiment; Renewable energy sources -- Periodicals; Power resources -- Periodicals; 333.79
• DOI: 10.1088/2516-1083/ac692c
• Languages: English
• ISSNs: 2516-1083

Abstract

Abstract: 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.