Optimization Design of the Positive Electrode Performance for Lithium-Ion Batteries Based on Maximum Entropy Principle

2018 ◽  
Author(s):  
Yujiao Che ◽  
Yunxia Chen ◽  
Yaosong Liu
Keyword(s):  
Lithium Ion Batteries ◽  
Maximum Entropy ◽  
Optimization Design ◽  
Maximum Entropy Principle ◽  
Lithium Ion ◽  
Positive Electrode ◽  
Electrode Performance ◽  
Entropy Principle

An entropy concentration theorem: applications in artificial intelligence and descriptive statistics

1990 ◽  
Vol 27 (2) ◽  
pp. 303-313 ◽  
Author(s):  
Claudine Robert
Keyword(s):  
Artificial Intelligence ◽  
Maximum Entropy ◽  
Large Deviation ◽  
Maximum Entropy Principle ◽  
Statistical Modelling ◽  
Linear Constraints ◽  
Descriptive Statistics ◽  
Entropy Principle ◽  
Maximum Entropy Distribution ◽  
Mathematical Justification

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

The Reinforcing Effect of Combined Carbon Nanotubes and Acetylene Blacks on the Positive Electrode of Lithium-Ion Batteries

ChemSusChem ◽  
2008 ◽  
Vol 1 (11) ◽  
pp. 911-915 ◽  
Author(s):  
Chiaki Sotowa ◽  
Gaku Origi ◽  
Masataka Takeuchi ◽  
Yoshiyuki Nishimura ◽  
Kenji Takeuchi ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Positive Electrode ◽  
Reinforcing Effect

scholarly journals Concentrated LiPF6/PC electrolyte solutions for 5-V LiNi0.5Mn1.5O4 positive electrode in lithium-ion batteries

2016 ◽  
Vol 209 ◽  
pp. 219-224 ◽  
Author(s):  
Takayuki Doi ◽  
Rin Masuhara ◽  
Michihiro Hashinokuchi ◽  
Yusuke Shimizu ◽  
Minoru Inaba
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Electrolyte Solutions ◽  
Positive Electrode

SINE ENTROPY FOR UNCERTAIN VARIABLES

2013 ◽  
Vol 21 (05) ◽  
pp. 743-753 ◽  
Author(s):  
KAI YAO ◽  
JINWU GAO ◽  
WEI DAI
Keyword(s):  
Maximum Entropy ◽  
Uncertainty Theory ◽  
Maximum Entropy Principle ◽  
Expected Value ◽  
Uncertain Variables ◽  
Entropy Principle

Entropy is a measure of the uncertainty associated with a variable whose value cannot be exactly predicated. In uncertainty theory, it has been quantified so far by logarithmic entropy. However, logarithmic entropy sometimes fails to measure the uncertainty. This paper will propose another type of entropy named sine entropy as a supplement, and explore its properties. After that, the maximum entropy principle will be introduced, and the arc-cosine distributed variables will be proved to have the maximum sine entropy with given expected value and variance.

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