Temperature Path Dependent Voltage and Thermal Expansion Hysteresis in Li-Ion Cells

2018 ◽  
Keyword(s):  
Thermal Expansion ◽  
Li Ion ◽  
Path Dependent ◽  
Temperature Path

Particle-Scale Path-Dependent Behavior of LixNi0.5Mn1.5O4 Electrode in Li-Ion Batteries: Part I. Experimental Study

2019 ◽  
Vol 166 (12) ◽  
pp. A2513-A2517 ◽  
Author(s):  
Yuanyuan Xie ◽  
Venkat Srinivasan ◽  
Hiroyuki Kaiya ◽  
Kenji Takahashi
Keyword(s):  
Experimental Study ◽  
Li Ion Batteries ◽  
Dependent Behavior ◽  
Li Ion ◽  
Path Dependent

Particle-Scale Path-Dependent Behavior of LixNi0.5Mn1.5O4 Electrode in Li-Ion Batteries: Part II. Mathematical Modeling

2019 ◽  
Vol 166 (12) ◽  
pp. A2518-A2522
Author(s):  
Yuanyuan Xie ◽  
Venkat Srinivasan ◽  
Hiroyuki Kaiya ◽  
Kenji Takahashi
Keyword(s):  
Mathematical Modeling ◽  
Li Ion Batteries ◽  
Dependent Behavior ◽  
Li Ion ◽  
Path Dependent

scholarly journals Benchmark Synthetic Training Data for Artificial Intelligence-based Li-ion Diagnosis and Prognosis

2020 ◽  
Author(s):  
Matthieu Dubarry ◽  
David Beck
Keyword(s):  
Scientific Data ◽  
Training Data ◽  
Diagnosis And Prognosis ◽  
Degradation Data ◽  
Benchmark Datasets ◽  
Battery Degradation ◽  
Li Ion ◽  
Path Dependent ◽  
Synthetic Datasets ◽  
Tools And Techniques

Accurate lithium battery diagnosis and prognosis is critical to increase penetration of electric vehicles and grid-tied storage systems. They are both complex due to the intricate, nonlinear, and path-dependent nature of battery degradation. Data-driven models are anticipated to play a significant role in the behavioral prediction of dynamical systems such as batteries. However, they are often limited by the amount of training data available. In this work, we generated the first big data comprehensive synthetic datasets to train diagnosis and prognosis algorithms. The proof-of-concept datasets are over three orders of magnitude larger than what is currently available in the literature. With benchmark datasets, results from different studies could be easily equated, and the performance of different algorithms can be compared, enhanced, and analyzed extensively. This will expend critical capabilities of current AI algorithms, tools, and techniques to predict scientific data.

A phase equilibrium investigation of selected source controls on the composition of melt batches generated by sequential melting of an average metapelite

2019 ◽  
Vol 491 (1) ◽  
pp. 223-241 ◽  
Author(s):  
Matthew J. Mayne ◽  
Gary Stevens ◽  
Jean-François Moyen
Keyword(s):  
Phase Equilibrium ◽  
Iron Content ◽  
Bulk Composition ◽  
Calcium Content ◽  
Rock System ◽  
Fluid State ◽  
Incompatible Elements ◽  
Equilibrium Approach ◽  
Path Dependent ◽  
Temperature Path

AbstractThe ability of Rcrust software to conduct path-dependent phase equilibrium modelling with automated changing bulk compositions allows for a phase equilibrium approach to investigate an array of source controls for their effect on the bulk compositions of melts produced by sequential melting events. The following source controls of the rock system are considered: (1) initial magnesium and iron content; (2) initial sodium and calcium content; (3) pressure–temperature path followed by the system; and (4) threshold by which melt extractions in the system are triggered. These source controls are investigated in a water-restricted system and a water-in-excess system. The permutation of these cases resulted in 128 different modelled pressure–temperature bulk composition paths investigating the melting of an average pelite composition. The resultant melt compositions are compared to that of a natural granite dataset and provide a good fit for the incompatible elements Na2O and K2O with the allowance that granites most likely form as magmas consisting of melt and ferromagnesian-rich crystals. The fluid state of the system is shown to have the strongest control on melt compositions, with the pressure–temperature path having subordinate control on the volume and composition of melts produced.

Superstructure ZrV2O7 nanofibres: thermal expansion, electronic and lithium storage properties

2016 ◽  
Vol 18 (47) ◽  
pp. 32160-32168 ◽  
Author(s):  
Qidong Li ◽  
Yanming Zhao ◽  
Quan Kuang ◽  
Qinghua Fan ◽  
Youzhong Dong ◽  
...  
Keyword(s):  
Thermal Expansion ◽  
Negative Thermal Expansion ◽  
Li Ion Batteries ◽  
Lithium Storage ◽  
Li Ion ◽  
Storage Properties

Negative thermal expansion superstructure ZrV2O7 nanofibres are synthesized and evaluated as Li-absent cathodes for Li-ion batteries.

Moral reasoning is the process of asking moral questions and answering them

2019 ◽  
Vol 42 ◽  
Author(s):  
Mark Alfano
Keyword(s):  
Moral Reasoning ◽  
Dependent Process ◽  
Asking Questions ◽  
Path Dependent ◽  
Path Dependent Process ◽  
Moral Questions

Abstract Reasoning is the iterative, path-dependent process of asking questions and answering them. Moral reasoning is a species of such reasoning, so it is a matter of asking and answering moral questions, which requires both creativity and curiosity. As such, interventions and practices that help people ask more and better moral questions promise to improve moral reasoning.

Microstructural and Microchemical Characterization of Nickel Sulfide Inclusions in Plate Glass

1991 ◽  
Vol 49 ◽  
pp. 962-963
Author(s):  
J. Cooper ◽  
O. Popoola ◽  
W. M. Kriven
Keyword(s):  
Thermal Expansion ◽  
Phase Transformation ◽  
Glass Matrix ◽  
Nickel Sulfide ◽  
Plate Glass ◽  
Thermal Expansion Mismatch ◽  
Volume Increase ◽  
Β Phase ◽  
Microchemical Characterization

Nickel sulfide inclusions have been implicated in the spontaneous fracture of large windows of tempered plate glass. Two alternative explanations for the fracture-initiating behaviour of these inclusions have been proposed: (1) the volume increase which accompanies the α to β phase transformation in stoichiometric NiS, and (2) the thermal expansion mismatch between the nickel sulfide phases and the glass matrix. The microstructure and microchemistry of the small inclusions (80 to 250 μm spheres), needed to determine the cause of fracture, have not been well characterized hitherto. The aim of this communication is to report a detailed TEM and EDS study of the inclusions.

Thermal Expansion of Martensitic A15 Superconductors: V3Si

1995 ◽  
Vol 05 (C8) ◽  
pp. C8-1109-C8-1113
Author(s):  
T.R. Finlayson, ◽  
M. Liu ◽  
T.F. Smith
Keyword(s):  
Thermal Expansion

STRUCTURAL TRANSFORMATION STUDIED BY THERMAL EXPANSION ON SINGLE CRYSTALS V3Si IN NORMAL AND SUPERCONDUCTING STATES

1978 ◽  
Vol 39 (C6) ◽  
pp. C6-406-C6-407 ◽  
Author(s):  
T. Fukase ◽  
T. Kobayashi ◽  
M. Isino ◽  
N. Toyota ◽  
Y. Muto
Keyword(s):  
Thermal Expansion ◽  
Single Crystals ◽  
Structural Transformation
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