Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review
Abstract Incorporating Battery Energy Storage Systems (BESS) into renewable energy
systems offers clear potential benefits, but management approaches that optimally operate …
systems offers clear potential benefits, but management approaches that optimally operate …
Prognostics and health management of Lithium-ion battery using deep learning methods: A review
Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
[HTML][HTML] A review of electric bus vehicles research topics–Methods and trends
The transportation sector accounts for a significant share of greenhouse gas emissions.
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …
A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries
A Tang, Y Jiang, Q Yu, Z Zhang - Journal of Energy Storage, 2023 - Elsevier
Reliable state of health (SOH) estimation is significant for safe operation of lithium-ion
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …
Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis
Lithium-ion batteries are commonly used to power unmanned aircraft vehicles (UAVs). The
ability to model and forecast remaining useful life of these batteries enables UAV reliability …
ability to model and forecast remaining useful life of these batteries enables UAV reliability …
[HTML][HTML] IoT real time system for monitoring lithium-ion battery long-term operation in microgrids
Energy storage through Lithium-ion Batteries (LiBs) is acquiring growing presence both in
commercially available equipment and research activities. Smart power grids, eg smart grids …
commercially available equipment and research activities. Smart power grids, eg smart grids …
[HTML][HTML] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …
hybrid renewable-based power systems with higher output, optimal solutions to extend …
[HTML][HTML] Machine learning modeling for proton exchange membrane fuel cell performance
Proton exchange membrane fuel cell (PEMFC) is considered essential for climate change
mitigation, and a fast and accurate model is necessary for its control and operation in …
mitigation, and a fast and accurate model is necessary for its control and operation in …
A survey on lithium-ion battery internal and external degradation modeling and state of health estimation
Battery management system (BMS) is an integral part of the Lithium-ion battery (LIB) for safe
operation and power management. The advanced BMSs also provide state of charge (SOC) …
operation and power management. The advanced BMSs also provide state of charge (SOC) …