scholarly journals Post lithium ion batteries for emerging energy storage technologies

2018 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Storage Technologies

Freestanding highly defect nitrogen-enriched carbon nanofibers for lithium ion battery thin-film anodes

2017 ◽  
Vol 5 (11) ◽  
pp. 5532-5540 ◽  
Author(s):  
Guoqiang Tan ◽  
Wurigumula Bao ◽  
Yifei Yuan ◽  
Zhun Liu ◽  
Reza Shahbazian-Yassar ◽  
...  
Keyword(s):  
Thin Film ◽  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Carbon Nanofibers ◽  
Large Scale ◽  
Lithium Ion ◽  
High Energy ◽  
Storage Technologies ◽  
Power Densities ◽  
Cycling Life

To transform lithium ion batteries into large-scale energy storage technologies, high energy/power densities and long cycling life of carbon-based anodes must be achieved.

scholarly journals Automotive Lithium-Ion Batteries: Dangers and Safety Measures

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
E. Lee
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Automotive Industry ◽  
Alternative Energy ◽  
New Technology ◽  
Lithium Ion ◽  
Safety Measures ◽  
Storage Technologies

Due to various economic, environmental, and political pressures, the automotive industry is be-ginning to put greater research eorts towards developing alternative energy storage technologies forvehicles, with a particular focus on lithium-ion batteries. This new technology poses new dangerswhich requires new technology to mitigate these dangers. Current and immediately next-generationsafety concerns and technologies are reviewed.

Innovative Antriebe 2016

2016 ◽  
Keyword(s):  
Energy Storage ◽  
Solid State ◽  
Electric Vehicles ◽  
Electrode Materials ◽  
Lifetime Cost ◽  
Lithium Ion ◽  
Automotive Applications ◽  
Battery Electric Vehicles ◽  
Storage Technologies ◽  
Lithium Sulfur

Rechargeable Energy Storage Technologies for Automotive Applications Abstract This paper provides an extended summary of the available relevant rechargeable energy storage electrode materials that can be used for hybrid, plugin and battery electric vehicles. The considered technologies are the existing lithium-ion batteries and the next generation technologies such as lithium sulfur, solid state, metal-air, high voltage materials, metalair and sodium based. This analysis gives a clear overview of the battery potential and characteristics in terms of energy, power, lifetime, cost and finally the technical hurdles. Inhalt Seite Vorwort 1 Alternative Energiespeicher – und Wandler S. Hävemeier, Neue Zelltechnologien und die Chance einer deutschen 3 M. Hackmann, Zellproduktion – Betrachtung von Technologie, Wirtschaft- R. Stanek lichkeit und dem Standort Deutschland N. Omar, Rechargeable Energy Storage Technologies for 7 R. Gopalakrishnan Automotive Applications – Present and Future ...

scholarly journals Accuracy improvement of SOC estimation in lithium-ion batteries by ANFIS vs ANN modeling of nonlinear cell characteristics

2021 ◽  
Author(s):  
Mohammad Hassan Amir Jamlouie
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Intelligent System ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Training Data ◽  
Accurate Estimation ◽  
Consumption Pattern ◽  
Load Prediction

Over the last century, the energy storage industry has continued to evolve and adapt to changing energy requirements. To run an efficient energy storage system two points must be considered. Firstly, precise load forecasting to determine energy consumption pattern. Secondly, is the correct estimation of state of charge (SOC). In this project there is a model introduced to predict the load consumption based on ANN implemented by MATLAB. The Designed intelligent system introduced for load prediction according to the hypothetical training data related to two years daily based load consumption of a residential area. For another obstacle which is accurate estimation of SOC, two separate models are provided based on ANN and ANFIS for Lithium-ion batteries as an energy storage system. There are several researches in this regard but in this project the author makes an effort to introduce the most efficient based on the MSE of each performance and as a result the method by ANN is found more accurate.

scholarly journals Lithium-ion conductivity in Li6Y(BO3)3: a thermally and electrochemically robust solid electrolyte

2016 ◽  
Vol 4 (18) ◽  
pp. 6972-6979 ◽  
Author(s):  
Beatriz Lopez-Bermudez ◽  
Wolfgang G. Zeier ◽  
Shiliang Zhou ◽  
Anna J. Lehner ◽  
Jerry Hu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Solid Electrolyte ◽  
Solid Electrolytes ◽  
Lithium Ion ◽  
Ion Conductivity ◽  
Ion Diffusion ◽  
New Energy ◽  
Li Ion ◽  
Lithium Ion Conductivity ◽  
Storage Technologies

The development of new frameworks for solid electrolytes exhibiting fast Li-ion diffusion is critical for enabling new energy storage technologies.

Elemental analysis of lithium ion batteries

2017 ◽  
Vol 32 (10) ◽  
pp. 1833-1847 ◽  
Author(s):  
Sascha Nowak ◽  
Martin Winter
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Elemental Analysis ◽  
State Of The Art ◽  
Electronic Devices ◽  
Lithium Ion ◽  
Promising Candidate ◽  
Decomposition Products ◽  
Power Sources ◽  
Large Size

Being successfully introduced into the market only 25 years ago, lithium ion batteries are already state-of-the-art power sources for portable electronic devices and the most promising candidate for energy storage in large-size batteries. Therefore, elemental analysis of lithium ion batteries (lithium ion batteries), their components and decomposition products is a fast growing topic in the literature.

Folding Graphene Film Yields High Areal Energy Storage in Lithium-Ion Batteries

ACS Nano ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 1739-1746 ◽  
Author(s):  
Bin Wang ◽  
Jaegeon Ryu ◽  
Sungho Choi ◽  
Gyujin Song ◽  
Dongki Hong ◽  
...  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Graphene Film ◽  
Lithium Ion
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