Lithium‐Ion Transport in Li 4 Ti 5 O 12 Epitaxial Thin Films vs. State of Charge

2020 ◽  
Author(s):  
Francesco Pagani ◽  
Max Döbeli ◽  
Corsin Battaglia
Keyword(s):  
Thin Films ◽  
Ion Transport ◽  
Lithium Ion ◽  
State Of Charge ◽  
Epitaxial Thin Films

scholarly journals Water-Free Titania-Bronze Thin Films with Superfast Lithium-Ion Transport

2014 ◽  
Vol 26 (43) ◽  
pp. 7365-7370 ◽  
Author(s):  
Kui Zhang ◽  
Michael B. Katz ◽  
Baihai Li ◽  
Sung Joo Kim ◽  
Xianfeng Du ◽  
...  
Keyword(s):  
Thin Films ◽  
Ion Transport ◽  
Lithium Ion

High-Rate Performance of LiCoO2 Epitaxial Thin Films with Various Surface Conditions

MRS Advances ◽  
2018 ◽  
Vol 3 (22) ◽  
pp. 1243-1247 ◽  
Author(s):  
Sou Yasuhara ◽  
Shintaro Yasui ◽  
Tomoyasu Taniyama ◽  
Mitsuru Itoh
Keyword(s):  
Thin Films ◽  
Rate Capability ◽  
Lithium Ion ◽  
Hybrid Vehicles ◽  
High Rate ◽  
Epitaxial Thin Films ◽  
Rate Performance ◽  
Interfacial Resistance ◽  
Surface Morphologies ◽  
High Rate Performance

ABSTRACTLithium ion batteries with high-rate performance have been demanded since electric and hybrid vehicles are released. It is known that high interfacial resistance between electrode and electrolyte prevents intercalation of lithium ions. We investigated high-rate capability of typical LiCoO2 cathode with various surface morphologies using epitaxial thin films prepared by pulsed laser deposition. As a result, high-rate performance in (104)LiCoO2 thin films was enhanced by an increase of (110)LiCoO2 facet density because diffusion coefficient of (110)LiCoO2 was larger than that of (104)LiCoO2. Therefore, a control of crystal plane at the surface is a key point for high-rate performance.

scholarly journals β-NMR Measurements of Lithium Ion Transport in Thin Films of Pure and Lithium-Salt-Doped Poly(ethylene oxide)

2014 ◽  
Vol 136 (22) ◽  
pp. 7833-7836 ◽  
Author(s):  
Iain McKenzie ◽  
Masashi Harada ◽  
Robert F. Kiefl ◽  
C. D. Philip Levy ◽  
W. Andrew MacFarlane ◽  
...  
Keyword(s):  
Thin Films ◽  
Ethylene Oxide ◽  
Ion Transport ◽  
Lithium Salt ◽  
Lithium Ion ◽  
Poly Ethylene Oxide ◽  
Poly Ethylene

State of charge estimation for lithium-ion batteries using dynamic neural network based on sine cosine algorithm

2021 ◽  
pp. 095440702110180
Author(s):  
Meng Wei ◽  
Min Ye ◽  
Jia Bo Li ◽  
Qiao Wang ◽  
Xin Xin Xu
Keyword(s):  
Neural Network ◽  
Lithium Ion Batteries ◽  
Unscented Kalman Filter ◽  
Lithium Ion ◽  
State Of Charge ◽  
Support Vector ◽  
Battery Management System ◽  
Dynamic Neural Network ◽  
Soc Estimation ◽  
Sine Cosine Algorithm

State of charge (SOC) of the lithium-ion batteries is one of the key parameters of the battery management system, which the performance of SOC estimation guarantees energy management efficiency and endurance mileage of electric vehicles. However, accurate SOC estimation is a difficult problem owing to complex chemical reactions and nonlinear battery characteristics. In this paper, the method of the dynamic neural network is used to estimate the SOC of the lithium-ion batteries, which is improved based on the classic close-loop nonlinear auto-regressive models with exogenous input neural network (NARXNN) model, and the open-loop NARXNN model considering expected output is proposed. Since the input delay, feedback delay, and hidden layer of the dynamic neural network are usually selected by empirically, which affects the estimation performance of the dynamic neural network. To cover this weakness, sine cosine algorithm (SCA) is used for global optimal dynamic neural network parameters. Then, the experimental results are verified to obtain the effectiveness and robustness of the proposed method under different conditions. Finally, the dynamic neural network based on SCA is compared with unscented Kalman filter (UKF), back propagation neural network based on particle swarm optimization (BPNN-PSO), least-squares support vector machine (LS-SVM), and Gaussian process regression (GPR), the results show that the proposed dynamic neural network based on SCA is superior to other methods.

scholarly journals Performance Analysis of Indentation Punch on High Energy Lithium Pouch Cells and Simulated Model Improvement

Polymers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1971
Author(s):  
Lihua Ye ◽  
Muhammad Muzamal Ashfaq ◽  
Aiping Shi ◽  
Syyed Adnan Raheel Shah ◽  
Yefan Shi
Keyword(s):  
Short Circuit ◽  
Lithium Ion ◽  
Mechanical Deformation ◽  
High Energy ◽  
State Of Charge ◽  
Punch Test ◽  
Short Course ◽  
Model Cell ◽  
The Impact

In this research, the aim relates to the material characterization of high-energy lithium-ion pouch cells. The development of appropriate model cell behavior is intended to simulate two scenarios: the first is mechanical deformation during a crash and the second is an internal short circuit in lithium-ion cells during the actual effect scenarios. The punch test has been used as a benchmark to analyze the effects of different state of charge conditions on high-energy lithium-ion battery cells. This article explores the impact of three separate factors on the outcomes of mechanical punch indentation experiments. The first parameter analyzed was the degree of prediction brought about by experiments on high-energy cells with two different states of charge (greater and lesser), with four different sizes of indentation punch, from the cell’s reaction during the indentation effects on electrolyte. Second, the results of the loading position, middle versus side, are measured at quasi-static speeds. The third parameter was the effect on an electrolyte with a different state of charge. The repeatability of the experiments on punch loading was the last test function analyzed. The test results of a greater than 10% state of charge and less than 10% state of charge were compared to further refine and validate this modeling method. The different loading scenarios analyzed in this study also showed great predictability in the load-displacement reaction and the onset short circuit. A theoretical model of the cell was modified for use in comprehensive mechanical deformation. The overall conclusion found that the loading initiating the cell’s electrical short circuit is not instantaneously instigated and it is subsequently used to process the development of a precise and practical computational model that will reduce the chances of the internal short course during the crash.

The role of intermediate S-polymorph towards high piezoelectricity in La-doped BiFeO3 epitaxial thin films

2021 ◽  
Vol 207 ◽  
pp. 116683
Author(s):  
Jun Young Lee ◽  
Gopinathan Anoop ◽  
Sanjith Unithrattil ◽  
WooJun Seol ◽  
Youngki Yeo ◽  
...  
Keyword(s):  
Thin Films ◽  
Epitaxial Thin Films ◽  
La Doped
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