A Circular Economy for Lithium-Ion Batteries Used in Mobile and Stationary Energy Storage: Drivers, Barriers, Enablers, and U.S. Policy Considerations

Driven by the rapid uptake of battery electric vehicles, Li-ion power batteries are increasingly reused in stationary energy storage systems, and eventually recycled to recover all the valued components. Offering an updated global perspective, this study provides a circular economy insight on lithium-ion battery reuse and recycling.

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

10.32920/ryerson.14652222.v1 ◽

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.

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Nanostructured Networks for Energy Storage: Vertically Aligned Carbon Nanotubes (VACNT) as Current Collectors for High-Power Li4Ti5O12(LTO)//LiMn2O4(LMO) Lithium-Ion Batteries

Batteries ◽

10.3390/batteries3040037 ◽

2017 ◽

Vol 3 (4) ◽

pp. 37 ◽

Cited By ~ 3

Author(s):

Fabian Pawlitzek ◽

Holger Althues ◽

Benjamin Schumm ◽

Stefan Kaskel

Keyword(s):

Carbon Nanotubes ◽

Energy Storage ◽

Lithium Ion Batteries ◽

High Power ◽

Lithium Ion ◽

Current Collectors ◽

Vertically Aligned Carbon Nanotubes ◽

Aligned Carbon Nanotubes ◽

Vertically Aligned

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Elemental analysis of lithium ion batteries

Journal of Analytical Atomic Spectrometry ◽

10.1039/c7ja00073a ◽

2017 ◽

Vol 32 (10) ◽

pp. 1833-1847 ◽

Cited By ~ 23

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.

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