Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning
Accurate degradation trajectory and future life are the key information of a new generation of
intelligent battery and electrochemical energy storage systems. It is very challenging to …
intelligent battery and electrochemical energy storage systems. It is very challenging to …
[HTML][HTML] Insight perspective on the synthesis and morphological role of the noble and non-noble metal-based electrocatalyst in fuel cell application
In the modern era, we all depend on energy for everything. However, we have limited
traditional energy sources like coal, petroleum etc. Various alternative energy sources have …
traditional energy sources like coal, petroleum etc. Various alternative energy sources have …
Perspectives on Li‐ion battery categories for electric vehicle applications: a review of state of the art
PH Camargos, PHJ dos Santos… - … Journal of Energy …, 2022 - Wiley Online Library
Lithium‐ion batteries are widely used in the market, and are continuously improving, given
their numerous benefits. Choosing the best materials for the cathode is fundamental for …
their numerous benefits. Choosing the best materials for the cathode is fundamental for …
Recent progress in the thermal management of lithium-ion batteries
Lithium-ion batteries are a promising solution for energy storage in various applications,
such as electric vehicles and building facilities. However, they are immensely sensitive to …
such as electric vehicles and building facilities. However, they are immensely sensitive to …
[HTML][HTML] Global warming potential of lithium-ion battery energy storage systems: A review
M Gutsch, J Leker - Journal of Energy Storage, 2022 - Elsevier
Decentralised lithium-ion battery energy storage systems (BESS) can address some of the
electricity storage challenges of a low-carbon power sector by increasing the share of self …
electricity storage challenges of a low-carbon power sector by increasing the share of self …
Explainability-driven model improvement for SOH estimation of lithium-ion battery
Deep neural networks have been widely used in battery health management, including state-
of-health (SOH) estimation and remaining useful life (RUL) prediction, with great success …
of-health (SOH) estimation and remaining useful life (RUL) prediction, with great success …
Energy storage systems for photovoltaic and wind systems: A review
D Rekioua - Energies, 2023 - mdpi.com
The study provides a study on energy storage technologies for photovoltaic and wind
systems in response to the growing demand for low-carbon transportation. Energy storage …
systems in response to the growing demand for low-carbon transportation. Energy storage …
Peer-to-peer energy trading of net-zero energy communities with renewable energy systems integrating hydrogen vehicle storage
This study presents peer energy trading management approaches in a net-zero energy
community with fundamental units of university campus, commercial office and high-rise …
community with fundamental units of university campus, commercial office and high-rise …
Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self …
Today, selling electricity to the grid has lost its former profitability with reduced feed-in tariff
(FiT) rates. This makes it crucial for prosumers to increase self-consumption and size their …
(FiT) rates. This makes it crucial for prosumers to increase self-consumption and size their …
[HTML][HTML] Renewable-based zero-carbon fuels for the use of power generation: A case study in Malaysia supported by updated developments worldwide
The existing combustion-centered energy mix in Malaysia has shown that replacing fossil
fuels with zero-carbon alternative fuels could be a better approach to achieve the reduction …
fuels with zero-carbon alternative fuels could be a better approach to achieve the reduction …