Automatic diagnostic system for second use lithium ion battery for stationary energy storage applications

2019 ◽  
Author(s):  
Alejandro Camargo ◽  
Alejandro Marulanda
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Diagnostic System ◽  
Lithium Ion ◽  
Stationary Energy ◽  
Energy Storage Applications ◽  
Second Use

Prognostics of the state of health for lithium-ion battery packs in energy storage applications

Energy ◽  
2021 ◽  
pp. 122189
Author(s):  
Chun Chang ◽  
Yutong Wu ◽  
Jiuchun Jiang ◽  
Yan Jiang ◽  
Aina Tian ◽  
...  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
The State ◽  
State Of Health ◽  
Battery Packs ◽  
Energy Storage Applications

scholarly journals Lithium Ion Battery Degradation: What you need to know

2021 ◽  
Author(s):  
Jacqueline Sophie Edge ◽  
Simon O'Kane ◽  
Ryan Prosser ◽  
Niall D. Kirkaldy ◽  
Anisha N Patel ◽  
...  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Consumer Electronics ◽  
Battery Degradation ◽  
Energy Storage Applications ◽  
The Many

The expansion of lithium-ion batteries from consumer electronics to larger-scale transport and energy storage applications has made understanding the many mechanisms responsible for battery degradation increasingly important. The literature in...

Lithium-ion battery 2nd life used as a stationary energy storage system: Ageing and economic analysis in two real cases

2020 ◽  
Vol 272 ◽  
pp. 122584 ◽  
Author(s):  
H. Rallo ◽  
L. Canals Casals ◽  
D. De La Torre ◽  
R. Reinhardt ◽  
C. Marchante ◽  
...  
Keyword(s):  
Energy Storage ◽  
Economic Analysis ◽  
Lithium Ion Battery ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Stationary Energy

Supercritical fluid methods for synthesizing cathode materials towards lithium ion battery applications

RSC Advances ◽  
2014 ◽  
Vol 4 (52) ◽  
pp. 27452-27470 ◽  
Author(s):  
M. K. Devaraju ◽  
Q. D. Truong ◽  
T. Tomai ◽  
I. Honma
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Supercritical Fluid ◽  
Cathode Materials ◽  
Lithium Battery ◽  
Lithium Ion ◽  
Battery Materials ◽  
Size And Shape ◽  
Energy Storage Applications

Supercritical fluid methods are proven to be very beneficial in controlling the size and shape of lithium battery materials. We hope that this review provides useful information on the production of these materials via supercritical fluid methods for energy storage applications, and that they could be extended for the synthesis of a variety of technologically potential materials.

A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis

2021 ◽  
pp. 014233122110579
Author(s):  
Tao Chen ◽  
Ciwei Gao ◽  
Hongxun Hui ◽  
Qiushi Cui ◽  
Huan Long
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Additive Models ◽  
Data Driven ◽  
Local Effects ◽  
Interaction Terms ◽  
Battery Capacity ◽  
Formulation Parameters ◽  
Capacity Prediction

Lithium-ion battery-based energy storage systems have been widely utilized in many applications such as transportation electrification and smart grids. As a key health status indicator, battery performance would highly rely on its capacity, which is easily influenced by various electrode formulation parameters within a battery. Due to the strongly coupled electrical, chemical, thermal dynamics, predicting battery capacity, and analysing the local effects of interested parameters within battery is significantly important but challenging. This article proposes an effective data-driven method to achieve effective battery capacity prediction, as well as local effects analysis. The solution is derived by using generalized additive models (GAM) with different interaction terms. Comparison study illustrate that the proposed GAM-based solution is capable of not only performing satisfactory battery capacity predictions but also quantifying the local effects of five important battery electrode formulation parameters as well as their interaction terms. Due to data-driven nature and explainability, the proposed method could benefit battery capacity prediction in an efficient manner and facilitate battery control for many other energy storage system applications.

A flame-retardant polyimide interlayer with polysulfide lithium traps and fast redox conversion towards safety and high sulfur utilization Li-S batteries

Nanoscale ◽  
2022 ◽  
Author(s):  
Zhiyu Zhou ◽  
Zexiang Chen ◽  
Yang Zhao ◽  
Huifang Lv ◽  
Hualiang Wei ◽  
...  
Keyword(s):  
Energy Storage ◽  
Flame Retardant ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Battery Technology ◽  
Redox Conversion ◽  
Lithium Sulfur ◽  
Made In

In recent years and following the progress made in lithium-ion battery technology, substantial efforts have been devoted to developing practical lithium-sulfur (Li–S) batteries for next-generation commercial energy storage devices. The...

Sign in / Sign up

Export Citation Format

Share Document