scholarly journals Solvation, Rational Design, and Interfaces: Development of Divalent Electrolytes

2022 ◽  
Vol 9 ◽  
Author(s):  
Noel J. Leon ◽  
Mingfu He ◽  
Chen Liao
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Recent Work ◽  
Rational Design ◽  
Lithium Ion ◽  
Focal Points ◽  
Crustal Abundance ◽  
Electrochemical Cycling ◽  
Further Development ◽  
The Ideal

Rechargeable multivalent ion batteries are promising tools to complement current lithium-ion batteries for a future of diverse energy storage needs. Divalent Mg and Ca are attractive candidates for their high crustal abundance, high volumetric anode capacity, and infrequent dendrite formation during electrochemical cycling. Electrolyte research is central to these efforts and continually improves coulombic efficiencies towards the ideal 100%. This mini-review discusses recent work towards fundamental understandings that push these chemistries towards practical use. Piecing together compatible cathode and electrolytes for a complete practical multivalent ion battery lacks a cohesive method for further development and refinement. Understanding liquid solvation, utilizing rational design, and probing interfacial interactions are focal points that govern electrolyte performance. The combination of these areas will be critical for meaningful development.

Rational Design of Void-Involved Si@TiO2 Nanospheres as High-Performance Anode Material for Lithium-Ion Batteries

2014 ◽  
Vol 6 (9) ◽  
pp. 6497-6503 ◽  
Author(s):  
Shan Fang ◽  
Laifa Shen ◽  
Guiyin Xu ◽  
Ping Nie ◽  
Jie Wang ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Anode Material ◽  
High Performance ◽  
Rational Design ◽  
Lithium Ion

Cu2O Nanoparticles and Multi-Branched Nanowires as Anodes for Lithium-Ion Batteries

NANO ◽  
2018 ◽  
Vol 13 (09) ◽  
pp. 1850103 ◽  
Author(s):  
Xu Chen ◽  
Chunxin Yu ◽  
Xiaojiao Guo ◽  
Qinsong Bi ◽  
Muhammad Sajjad ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Anode Materials ◽  
Hydrothermal Process ◽  
Specific Capacity ◽  
Lithium Ion ◽  
Discharge Process ◽  
Electrochemical Cycling ◽  
One Step ◽  
Cu2o Nanoparticles ◽  
Enhanced Electrochemical Performance

Novelty Cu2O multi-branched nanowires and nanoparticles with size ranging from [Formula: see text]15[Formula: see text]nm to [Formula: see text]60[Formula: see text]nm have been synthesized by one-step hydrothermal process. These Cu2O nanostructures when used as anode materials for lithium-ion batteries exhibit the excellent electrochemical cycling stability and reduced polarization during the repeated charge/discharge process. The specific capacity of the Cu2O nanoparticles, multi-branched nanowires and microscale are maintained at 201.2[Formula: see text]mAh/g, 259.6[Formula: see text]mAh/g and 127.4[Formula: see text]mAh/g, respectively, under the current density of 0.1[Formula: see text]A/g after 50 cycles. The enhanced electrochemical performance of the Cu2O nanostructures compared with microscale counterpart can be attributed to the larger contact area between active Cu2O nanostructures/electrolyte interface, shorter diffusion length of Li[Formula: see text] within nanostructures and the improved stress release upon lithiation/delithiation.

3D hierarchically mesoporous Cu-doped NiO nanostructures as high-performance anode materials for lithium ion batteries

CrystEngComm ◽  
2015 ◽  
Vol 17 (48) ◽  
pp. 9336-9347 ◽  
Author(s):  
Jingyun Ma ◽  
Longwei Yin ◽  
Tairu Ge
Keyword(s):  
Porous Structure ◽  
Lithium Ion Batteries ◽  
Surface Area ◽  
Anode Materials ◽  
High Performance ◽  
Rational Design ◽  
Three Dimensional ◽  
Lithium Ion ◽  
Design And Synthesis ◽  
Hierarchically Porous Structure

We report on the rational design and synthesis of three dimensional (3D) Cu-doped NiO architectures with an adjustable chemical component, surface area, and hierarchically porous structure as anodes for lithium ion battery.

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.

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.

scholarly journals Electrochemical Behavior of NH4F-Pretreated Li1.25Ni0.20Fe0.13Co0.33Mn0.33O2 Cathodes for Lithium-ion Batteries

2020 ◽  
Vol 10 (3) ◽  
pp. 1021
Author(s):  
Yonglei Zheng ◽  
Yikai Li ◽  
He Wang ◽  
Siheng Chen ◽  
Xiangxin Guo ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Electrochemical Impedance ◽  
Lithium Ion ◽  
X Ray Diffraction ◽  
Capacity Retention ◽  
Hierarchical Microspheres ◽  
Electrochemical Cycling ◽  
Novel Method ◽  
Diffraction Patterns ◽  
Discharge Capacities

We report a novel method to fabricate lithium-ion batteries cathodes with the NH4F pretreatment. In this study, NH4F-pretreated Li1.25Ni0.20Fe0.13Co0.33Mn0.33O2 hollow nano-micro hierarchical microspheres were synthesized for use as cathode materials. The X-ray diffraction patterns of NH4F-pretreated Li1.25Ni0.20Co0.33Fe0.13Mn0.33O2 were analyzed with the RIETAN-FP software program, and the results showed that the samples possess a layered α-NaFeO2 structure. The effects of pretreatment with NH4F on the electrochemical performance of the pristine material were evaluated through charge/discharge cycling, the rate performance, and electrochemical impedance spectroscopy (EIS). Pretreatment with NH4F significantly improved the discharge capacities and coulombic efficiencies of Li1.25Ni0.20Co0.33Fe0.13Mn0.33O2 in the first cycle and during subsequent electrochemical cycling. The sample pretreated with an appropriate amount of NH4F (NFCM 90) showed the highest discharge capacity (209.1 mA h g−1) and capacity retention (85.2% for 50 cycles at 0.1 C). The EIS results showed that the resistance of the NFCM 90 sample (76.32 Ω) is lower than that of the pristine one (206.2 Ω).

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