Porous electrode modeling and its applications to Li‐ion batteries

Z Chen, DL Danilov, RA Eichel… - Advanced Energy …, 2022 - Wiley Online Library
Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …

Battery aging mode identification across NMC compositions and designs using machine learning

BR Chen, CM Walker, S Kim, MR Kunz, TR Tanim… - Joule, 2022 - cell.com
A comprehensive understanding of lithium-ion battery (LiB) lifespan is the key to designing
durable batteries and optimizing use protocols. Although battery lifetime prediction methods …

State of health estimation for lithium-ion batteries based on two-stage features extraction and gradient boosting decision tree

R Pan, T Liu, W Huang, Y Wang, D Yang, J Chen - Energy, 2023 - Elsevier
To ensure the stable, reliable, and safe operation of lithium-ion batteries, the state of health
(SOH) serves as a crucial basis for battery safety monitoring and operational maintenance …

Massively distributed bayesian analysis of electric aircraft battery degradation

A Bills, L Fredericks, V Sulzer… - ACS Energy …, 2023 - ACS Publications
Electric vertical takeoff and landing (EVTOL) aircraft have high power and energy
requirements that must be understood throughout their batteries' life. Using a fast …

Nonlinear identifiability analysis of multiphase porous electrode theory-based battery models: A lithium iron phosphate case study

G Galuppini, MD Berliner, DA Cogswell… - Journal of Power …, 2023 - Elsevier
Porous electrode theory (PET) is widely used to model battery dynamics by describing
electrochemical kinetics and transport in solid particles and electrolyte. Standard PET …

A digital twin-driven life prediction method of lithium-ion batteries based on adaptive model evolution

D Yang, Y Cui, Q Xia, F Jiang, Y Ren, B Sun, Q Feng… - Materials, 2022 - mdpi.com
Accurate life prediction and reliability evaluation of lithium-ion batteries are of great
significance for predictive maintenance. In the whole life cycle of a battery, the accurate …

Bayesian parameter identification in electrochemical model for lithium-ion batteries

S Kim, S Kim, YY Choi, JI Choi - Journal of Energy Storage, 2023 - Elsevier
Electrochemical models can characterize the internal behavior of cells and are powerful and
effective tools for the design and management of batteries. This study proposes a …

[HTML][HTML] Data selection framework for battery state of health related parameter estimation under system uncertainties

J Fogelquist, X Lin - eTransportation, 2023 - Elsevier
Data selection is a practical technique for improving parameter estimation accuracy through
the strategic selection of information-rich data for use in the estimation algorithm. Traditional …

MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling

Y Huang, C Zou, Y Li, T Wik - IEEE Transactions on Pattern …, 2024 - ieeexplore.ieee.org
The concept of integrating physics-based and data-driven approaches has become popular
for modeling sustainable energy systems. However, the existing literature mainly focuses on …

Efficient computation of robust, safe, fast charging protocols for lithium-ion batteries

G Galuppini, MD Berliner, H Lian, D Zhuang… - Control Engineering …, 2024 - Elsevier
The design of fast charging protocols is fundamental to improving the performance and
lifetime of lithium-ion batteries. It is well-known that charging operations consistently …