A Mixed Continuous-Discrete Approach to Fast Charging of Li-ion Batteries While Maximizing Lifetime
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1-s2.0-S2405896322027033-main.pdf
Description
Published version
Size
569.46 KB
Format
Adobe PDF
Checksum (MD5)
0466cd8fc01c40ea9d36621d0d0064b2
Author(s)
Berliner, Marc D
Cogswell, Daniel A
Bazant, Martin Z
Braatz, Richard D
Date Issued
2022
Journal
IFAC-PapersOnLine
Publisher
Elsevier BV
Citation
Berliner, Marc D, Cogswell, Daniel A, Bazant, Martin Z and Braatz, Richard D. 2022. "A Mixed Continuous-Discrete Approach to Fast Charging of Li-ion Batteries While Maximizing Lifetime." IFAC-PapersOnLine, 55 (30).
Version
Final published version
Abstract
Fast charging studies for lithium-ion batteries aim to minimize charging time while maximizing battery lifetime. Real-time optimal control problems are typically solved using empirical or simplified physical models with constraint-based model predictive control (MPC). In this article, we derive physics-based operating modes based on degradative governing equations, which are used to ensure safe use and minimal degradation during long-term cycling. The fast-charging protocols are efficiently and deterministically simulated using a mixed continuous-discrete (aka hybrid) approach to fast charging. This simultaneously solves the battery system of equations and the constraint-based control problem. The approach is evaluated using a Porous Electrode Theory-based model that includes solid-electrolyte interface (SEI) capacity fade. Three physics-based charging protocols are compared to a conventional constant current-constant voltage (CC-CV) protocol. Given identical levels of capacity fade after 500 cycles, the physics-based protocols uniformly reach a greater charge capacity compared to CC-CV after charging for 10 and 15 minutes. The computational cost of simulating physics-based charging protocols is only about 30% greater than the CC-CV method. The fast charging framework is easily extendable to other battery models, irrespective of model complexity.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.ifacol.2022.11.070
