Review on modeling and soc/soh estimation of batteries for automotive applications

P Dini, A Colicelli, S Saponara - Batteries, 2024 - mdpi.com
Lithium-ion batteries have revolutionized the portable and stationary energy industry and
are finding widespread application in sectors such as automotive, consumer electronics …

Challenges and opportunities toward long-life lithium-ion batteries

X Xu, X Han, L Lu, Z Zhang, F Wang, M Yang… - Journal of Power …, 2024 - Elsevier
In the backdrop of the carbon neutrality, lithium-ion batteries are being extensively employed
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

F Wang, Z Zhai, Z Zhao, Y Di, X Chen - Nature Communications, 2024 - nature.com
Accurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-
ion batteries. However, reliable and stable battery SOH estimation remains challenging due …

Towards Physics-Informed Machine Learning-Based Predictive Maintenance for Power Converters–A Review

Y Fassi, V Heiries, J Boutet… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predictive maintenance for power electronic converters has emerged as a critical area of
research and development. With the rapid advancements in deep-learning techniques, new …

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

MEC Bento - Energies, 2024 - mdpi.com
Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data

F Wang, Z Wu, Z Zhao, Z Zhai, C Wang… - Reliability Engineering & …, 2024 - Elsevier
Accurate state of health (SOH) estimation is basis for safe and reliable operation of lithium-
ion batteries. In practice, accurate and reliable SOH estimation remains a challenge due to …

Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks

S Bhatnagar - Mathematical and Computational Applications, 2024 - mdpi.com
Continuous Time Echo State Networks (CTESNs) are a promising yet under-explored
surrogate modeling technique for dynamical systems, particularly those governed by stiff …

AI for Science in Electrochemical Energy Storage: A Multi-Scale Systems Perspective on Transportation Electrification

S Li, O Gao, F You - Nexus, 2024 - cell.com
The electric vehicle (EV) industry, crucial for low-emission transportation, is undergoing a
significant transformation driven by advancements in battery and electrochemical energy …

A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations

J Alcibar, JI Aizpurua, E Zugastia… - arXiv preprint arXiv …, 2024 - arxiv.org
Health monitoring of remote critical infrastructure is a complex and expensive activity due to
the limited infrastructure accessibility. Inspection drones are ubiquitous assets that enhance …

Testing of Advanced Capabilities to Enable In-time Safety Management and Assurance for Future Flight Operations

AJ Moore, S Young, G Altamirano, E Ancel… - 2024 - ntrs.nasa.gov
In order to refine an initial Concept of Operations, explore Concepts of Use, and
expose/validate requirements for future In-Time Aviation Safety Management Systems …