[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Y Zheng, Y Che, X Hu, X Sui, DI Stroe… - Progress in Energy and …, 2024 - Elsevier
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …

Applications of artificial neural network based battery management systems: A literature review

M Kurucan, M Özbaltan, Z Yetgin, A Alkaya - Renewable and Sustainable …, 2024 - Elsevier
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

Q Yu, C Wang, J Li, R **ong, M Pecht - ETransportation, 2023 - Elsevier
Lithium-ion batteries are the ideal energy storage device for numerous portable and energy
storage applications. Efficient fault diagnosis methods become urgent to address safety …

Review of battery state estimation methods for electric vehicles-Part I: SOC estimation

O Demirci, S Taskin, E Schaltz, BA Demirci - Journal of energy storage, 2024 - Elsevier
This study presents a comprehensive review of State of Charge (SOC) estimation methods
for Lithium-Ion (Li-Ion) batteries, with a specific focus on Electric Vehicles (EVs). The …

Data-driven capacity estimation for lithium-ion batteries with feature matching based transfer learning method

S Fu, S Tao, H Fan, K He, X Liu, Y Tao, J Zuo, X Zhang… - Applied Energy, 2024 - Elsevier
Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …

Machine learning for battery systems applications: Progress, challenges, and opportunities

Z Nozarijouybari, HK Fathy - Journal of Power Sources, 2024 - Elsevier
Abstract Machine learning has emerged as a transformative force throughout the entire
engineering life cycle of electrochemical batteries. Its applications encompass a wide array …

[HTML][HTML] Experimental research and multi-physical modeling progress of Zinc-Nickel single flow battery: A critical review

X Huang, R Zhou, X Luo, X Yang, J Cheng… - Advances in Applied …, 2023 - Elsevier
Electrochemical energy storage technologies hold great significance in the progression of
renewable energy. Within this specific field, flow batteries have emerged as a crucial …

Battery energy storage systems: A review of energy management systems and health metrics

S Nazaralizadeh, P Banerjee, AK Srivastava… - Energies, 2024 - mdpi.com
With increasing concerns about climate change, there is a transition from high-
carbonemitting fuels to green energy resources in various applications including household …

[HTML][HTML] Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Y Che, Y Zheng, FE Forest, X Sui, X Hu… - Reliability Engineering & …, 2024 - Elsevier
Predictive health assessment is of vital importance for smarter battery management to
ensure optimal and safe operations and thus make the most use of battery life. This paper …

Lithium battery prognostics and health management for electric vehicle application–A perspective review

R Kumar, K Das - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …