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 …
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
Battery aging mode identification across NMC compositions and designs using machine learning
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 …
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 …
(SOH) serves as a crucial basis for battery safety monitoring and operational maintenance …
Massively distributed bayesian analysis of electric aircraft battery degradation
Electric vertical takeoff and landing (EVTOL) aircraft have high power and energy
requirements that must be understood throughout their batteries' life. Using a fast …
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
Porous electrode theory (PET) is widely used to model battery dynamics by describing
electrochemical kinetics and transport in solid particles and electrolyte. Standard PET …
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 …
significance for predictive maintenance. In the whole life cycle of a battery, the accurate …
Bayesian parameter identification in electrochemical model for lithium-ion batteries
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 …
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 …
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
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 …
for modeling sustainable energy systems. However, the existing literature mainly focuses on …
Efficient computation of robust, safe, fast charging protocols for lithium-ion batteries
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 …
lifetime of lithium-ion batteries. It is well-known that charging operations consistently …