A simplified multi-particle model for lithium ion batteries via a predictor-corrector strategy and quasi-linearization. (1st December 2016)

• Record Type: Journal Article
• Authors: Li, Xiaoyu; Fan, Guodong; Rizzoni, Giorgio; Canova, Marcello; Zhu, Chunbo; Wei, Guo
• Is Part Of: Energy. Volume 116:Part 1(2016)
• Page Start: 154
• Page End: 169
• Publication Date: 2016-12-01
• Subjects: Lithium ion battery -- Electrochemical multi-particle model -- Model simplification -- Predictor-corrector strategy -- Quasi-linearization; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2016.09.099
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The design of a simplified yet accurate physics-based battery model enables researchers to accelerate the processes of the battery design, aging analysis and remaining useful life prediction. In order to reduce the computational complexity of the Pseudo Two-Dimensional mathematical model without sacrificing the accuracy, this paper proposes a simplified multi-particle model via a predictor-corrector strategy and quasi-linearization. In this model, a predictor-corrector strategy is used for updating two internal states, especially used for solving the electrolyte concentration approximation to reduce the computational complexity and reserve a high accuracy of the approximation. Quasi-linearization is applied to the approximations of the Butler-Volmer kinetics equation and the pore wall flux distribution to predict the non-uniform electrochemical reaction effects without using any nonlinear iterative solver. Simulation and experimental results show that the isothermal model and the model coupled with thermal behavior are greatly improve the computational efficiency with almost no loss of accuracy. Highlights: A simplified multi-particle model with high accuracy and computation efficiency is proposed. The electrolyte concentration is solved based on a predictor-corrector strategy. The non-uniform electrochemical reaction is solved based on quasi-linearization. The model is verified by simulations and experiments at various operating conditions.