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Accelerated Battery Lifetime Simulations Using Adaptive Inter-Cycle Extrapolation Algorithm

delete2021-12-20
delete28
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OA
AI
V
Valentin Sulzer
P
Peyman Mohtat
S
Sravan Pannala
J
Jason B. Siegel
A
Anna G. Stefanopoulou *
DOI:10.1149/1945-7111/ac3e48delete
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摘要

摘要

En 中文
We propose algorithms to speed up physics-based battery lifetime simulations by one to two orders of magnitude compared to the state-of-the-art. First, we propose a reformulation of the Single Particle Model with side reactions to remove algebraic equations and hence reduce stiffness, with 3x speed-up in simulation time (intra-cycle reformulation). Second, we introduce an algorithm that makes use of the difference between the fast timescale of battery cycling and the slow timescale of battery degradation by adaptively selecting and simulating representative cycles, skipping other cycles, and hence requires fewer cycle simulations to simulate the entire lifetime (adaptive inter-cycle extrapolation). This algorithm is demonstrated with a specific degradation mechanism but can be applied to various models of aging phenomena. In the particular case study considered, simulations of the entire lifetime are performed in under 5 s. This opens the possibility for much faster and more accurate model development, testing, and comparison with experimental data.
Keyword:
Batteries-Li-ion
Theory and Modelling
degradation
knee point

期刊

Journal of the Electrochemical Society 封面图
Journal of the Electrochemical Society
IF:
3.3
论文数:
3.3W
被引数:
9.4W

机构

U
university of michigan system
学者数:
593
论文数: 1.5K
被引数: 0
引用论文

引用论文

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