Novel Operating Modes for the Charging of Lithium-ion Batteries
Name
Berliner_2022_J._Electrochem._Soc._169_100546.pdf
Description
Published version
Size
956.37 KB
Format
Adobe PDF
Checksum (MD5)
8370ec6a06b2a76e964f214567025a3b
Author(s)
Berliner, Marc D
Jiang, Benben
Cogswell, Daniel A
Bazant, Martin Z
Braatz, Richard D
Date Issued
October 1, 2022
Journal
Journal of The Electrochemical Society
Publisher
The Electrochemical Society
Citation
Marc D. Berliner et al 2022 J. Electrochem. Soc. 169 100546
Version
Final published version
Abstract
Conventional battery simulation tools offer current, voltage, and power operating modes. This article presents General Operating Modes (GOMs), which move beyond these standard modes and allow battery models of any scale to simulate novel operating modes such as constant temperature, constant lithium plating overpotential, and constant concentration. The governing equations of the battery model are solved alongside a single algebraic constraint that determines the current. The operating modes are simulated efficiently and deterministically inside a differential-algebraic equation (DAE) solver, and constraints are satisfied within solver tolerances. We propose a mixed-continuous discrete (aka hybrid) solution to the constrained charging problem, using the GOMs to satisfy charging constraints. This approach enables nonlinear model predictive control (NMPC) to be implementable in real-time while directly using sophisticated physics-based battery models. The approach is demonstrated for three models of various complexity: a thin-film nickel hydroxide electrode model, a Single-Particle (SP) model, and a Porous Electrode Theory (PET) model. The hybrid fast charging algorithm is shown to be slightly suboptimal for the thermal SP model in some cases, which is not of practical importance for NMPC.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Center for Biomedical Innovation
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1149/1945-7111/ac9a80
