A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control. (1st February 2023)

• Record Type: Journal Article
• Authors: Gu, Yuxuan; Wang, Jianxiao; Chen, Yuanbo; Xiao, Wei; Deng, Zhongwei; Chen, Qixin
• Is Part Of: Energy. Volume 264(2023)
• Publication Date: 2023-02-01
• Subjects: Electro-chemical model -- Lithium-ion battery -- Model simplification -- State estimation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2022.126192
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The penetration of lithium-ion batteries (LIBs) in transport, energy, and communication systems is increasing rapidly. A meticulous but simplified LIB model for non-uniform internal state monitoring and online control is sought in practice. Based on the pseudo-two-dimensional (P2D) model, a simplified electro-chemical model for LIBs is proposed. Specifically, a rigorous model of the non-uniform reaction rates inside the battery is derived. Sub-models that capture the non-uniformity of current densities, potentials and concentrations are developed synchronously. Time-variant parameters and a lumped thermal model are incorporated as well. A full-cycle simulation framework, including the discretization, initialization, stabilization and closed-loop correction methods, is designed for ease of online control. Numerical experiments on the widely used NCM and LFP 18650 batteries under standard charge and discharge protocols and dynamic protocols during the peak-shaving or regulation service are conducted for validation. Generally, the speed of the proposed model increases hundreds of times compared to the P2D model. The estimation accuracy of internal and external states increases around 10% to 100% compared to state-of-art electro-chemical models. In addition, the correction speed and accuracy of the closed-loop framework increase around ten times and around 100% respectively compared to the widely used ensemble Kalman filter. Highlights: Non-uniformity modeling of reaction rates benefits estimating internal states. A bottom-up modeling approach for the adaptation to prevalent LIBs. A reduced electrochemical model to balance the accuracy and practicability. Closed-loop correction and stabilization algorithms to improve robustness. Full-cycle framework for simulation with low computation cost.