Multi-Stage Optimal Experimental Design and Setup Strategies in Absence of System Pre-Knowledge
Optimal Experimental Design (OED) aims to maximize information about model parameters
with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher …
with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher …
A multi-stage lithium-ion battery aging dataset using various experimental design methodologies
F Stroebl, R Petersohn, B Schricker, F Schaeufl… - Scientific Data, 2024 - nature.com
This dataset encompasses a comprehensive investigation of combined calendar and cycle
aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total …
aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total …
Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation
Fuel cell systems (FCSs) are based on a number of components whose electrochemical and
physical interactions during operation are not fully understood either by empirical …
physical interactions during operation are not fully understood either by empirical …
A Method to Improve Parameter Estimation Success
H Unozkan - IEEE Access, 2023 - ieeexplore.ieee.org
This paper introduces a method for improving parameter estimation in statistical models.
Parameter estimation is a popular area of study in statistics, and recent years have seen the …
Parameter estimation is a popular area of study in statistics, and recent years have seen the …
Multi-Stage Optimal Experimental Design-Experimental Setup Strategies in Absence of System Pre-Knowledge
Optimal Experimental Design (OED) aims to maximize information about model parameters
with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher …
with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher …