Electrode-level state estimation in lithium-ion batteries via Kalman decomposition

D Zhang, LD Couto, SJ Moura - IEEE Control Systems Letters, 2020 - ieeexplore.ieee.org
Lithium-ion battery electrode-level online state estimation using high-fidelity nonlinear
electrochemical models remains a key challenge. This is particularly due to weak …

[HTML][HTML] Li-ion battery aging model robustness: An analysis using univariate and multivariate techniques

E Marchegiani, F Ferracuti, A Monteriù, L Jin… - Journal of Energy …, 2023 - Elsevier
Batteries are highly flexible energy storages and they can be easily integrated in energy
systems. However, the modeling of batteries must be coherent and robust to be effectively …

Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?

R Mirzaeian, R Nopour, Z Asghari Varzaneh… - Biomedical engineering …, 2023 - Springer
Background The worldwide society is currently facing an epidemiological shift due to the
significant improvement in life expectancy and increase in the elderly population. This shift …

Thermal runaway modeling of lithium-ion batteries at different scales: Recent advances and perspectives

R Peng, D Kong, P Ping, G Wang, X Gao, H Lv… - Energy Storage …, 2024 - Elsevier
Large-scale application of lithium-ion batteries (LIBs) is limited by the safety concerns
induced by thermal runaway (TR). In the field of TR research, numerical simulation, with its …

A physics-inspired machine learning nonlinear model of li-ion batteries

O Ahmadzadeh, R Rodriguez, Y Wang… - 2023 American …, 2023 - ieeexplore.ieee.org
Accurate modeling of Lithium-ion batteries (LiBs) allows for more efficient utilization of their
potential without compromising their safety or useful life. Accurate physics-based models …

Data‐driven snapshot methods leveraging data fusion to estimate state of health for maritime battery systems

E Vanem, M Bruch, Q Liang, K Thorbjørnsen… - Energy …, 2023 - Wiley Online Library
The number of fully electric or hybrid ships relying on battery power for propulsion and
maneuvering is growing. In order to ensure the safety of these ships, it is important to …

Robust energy hub optimization with cross‐vector demand response

F Zhu, J Fu, P Zhao, D Xie - International Transactions on …, 2020 - Wiley Online Library
The integration of multi‐energy systems increases renewable penetration and efficiency of
energy use, and reduces costs. This integration is further reinforced by new technologies …

Modeling of li-ion batteries for real-time analysis and control: A data-driven approach

O Ahmadzadeh, R Rodriguez… - 2022 American Control …, 2022 - ieeexplore.ieee.org
This paper presents a data-driven model (DDM) of Li-ion batteries (LIBs). Accurate real-time
modeling of LIBs allows for faster and more aggressive inputs and operations, improving …

[HTML][HTML] Energy arbitrage optimization of lithium-ion battery considering short-term revenue and long-term battery life loss

Y Bai, J Wang, W He - Energy Reports, 2022 - Elsevier
To achieve the ambitious goal of net-zero by 2050, the power sector in many countries has
been increasingly using renewable energy sources (RES). The power system balance will …

Advances in battery state estimation of battery management system in electric vehicles

M Jiang, D Li, Z Li, Z Chen, Q Yan, F Lin, C Yu… - Journal of Power …, 2024 - Elsevier
Lithium-ion batteries (LIBs) have emerged as an indispensable component in the
development of green transportation such as electric vehicles (EVs) and large-scale …