Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms

2017 ◽  
pp. 1217-1239 ◽  
Author(s):  
Clémentine Prieur ◽  
Stefano Tarantola
Keyword(s):  
Sensitivity Analysis ◽  
Estimation Algorithms ◽  
Analysis Theory

Li-Ion Cell Aging Model Online Parameter Estimation for Improved Prognosis

2016 ◽  
Author(s):  
Punit Tulpule ◽  
Chin-Yao Chang ◽  
Giorgio Rizzoni
Keyword(s):  
Sensitivity Analysis ◽  
Parameter Estimation ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Estimation Methods ◽  
Cell Aging ◽  
Model Parameters ◽  
Positive Electrodes ◽  
Aging Model ◽  
Estimation Algorithms

In this paper, a semi-empirical aging model of lithium-ion pouch cells containing blended spinel and layered-oxide positive electrodes is calibrated using aging campaigns. Sensitivity analysis is done on this model to identify the effect of parameter variations on the State of Health (SOH) prediction. The sensitivity analysis shows that the aging model alone is not robust enough to perform long term predictions, hence we propose to use online parameter estimation algorithms to adapt the model parameters. Four different estimation methods are compared using aging campaign. It is demonstrated that the estimation algorithms improve aging model leading to significant improvement in Remaining Useful Life (RUL) prediction.

scholarly journals VARIATIONAL SENSITIVITY ANALYSIS — THEORY AND APPLICATION

1975 ◽  
pp. 568-577 ◽  
Author(s):  
H. Henryson ◽  
H.H. Hummel ◽  
R.N. Hwang ◽  
W.M. Stacey ◽  
B.J. Toppel
Keyword(s):  
Sensitivity Analysis ◽  
Analysis Theory

Implementation of Design Sensitivity Analysis with Existing Finite Element Codes

1987 ◽  
Vol 109 (3) ◽  
pp. 385-391 ◽  
Author(s):  
K. K. Choi ◽  
J. L. T. Santos ◽  
M. C. Frederick
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Design Sensitivity ◽  
Design Sensitivity Analysis ◽  
Cross Sectional ◽  
Design Variables ◽  
Accurate Design ◽  
Analysis Theory ◽  
Problem Design ◽  
Selection Of

A numerical method is presented to implement structural design sensitivity analysis theory, using the versatility and convenience of existing finite element structural analysis programs. Design variables such as thickness and cross-sectional areas of components of individual members and built-up structures are considered. Structural performance functionals considered include displacement and stress. The method is also applicable for eigenvalue problem design sensitivity analysis. It is shown that calculations can be carried out outside existing finite element codes, using postprocessing data only. Thus design sensitivity analysis software does not have to be imbedded in an existing finite element code. Feasibility of the method is shown through analysis of several problems, including a built-up structure. Accurate design sensitivity results are obtained without the uncertainty of numerical accuracy associated with selection of finite difference perturbations.

scholarly journals Information‐anchored sensitivity analysis: theory and application

2018 ◽  
Vol 182 (2) ◽  
pp. 623-645 ◽  
Author(s):  
Suzie Cro ◽  
James R. Carpenter ◽  
Michael G. Kenward
Keyword(s):  
Sensitivity Analysis ◽  
Analysis Theory

scholarly journals Approximate solution algorithm for multi-parametric non-convex programming problems with polyhedral constraints

2014 ◽  
Vol 4 (2) ◽  
pp. 89-98 ◽  
Author(s):  
Abay Molla Kassa ◽  
Semu Mitiku Kassa
Keyword(s):  
Sensitivity Analysis ◽  
Approximate Solution ◽  
Convex Programming ◽  
Software Package ◽  
Convex Relaxation ◽  
Solution Algorithm ◽  
Matlab Software ◽  
Algorithmic Approach ◽  
Decision Variables ◽  
Analysis Theory

In this paper, we developed a novel algorithmic approach for thesolution of multi-parametric non-convex programming problems withcontinuous decision variables. The basic idea of the proposedapproach is based on successive convex relaxation of each non-convexterms and sensitivity analysis theory. The proposed algorithm isimplemented using MATLAB software package and numericalexamples are presented to illustrate the effectiveness andapplicability of the proposed method on multi-parametric non-convexprogramming problems with polyhedral constraints.

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