Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries

Bibliographic Details
Main Author: Dangwal, Chitra
Language:English
Published: The Ohio State University / OhioLINK 2020
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1587816603247479
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu15878166032474792021-08-03T07:14:40Z Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries Dangwal, Chitra Mechanical Engineering Electrochemical models for lithium-ion battery are being increasingly used for investigating the response of batteries under different operating conditions. When using an electrochemical model, accurate identification of the parameters involved in the model becomes vital. One of the major issues of using electrochemical model is associated with parameter identification. Large number of physical parameters involved in an electrochemical models, along with nonlinearity of the equations and the interdependency in the parameters makes the parameter identification problem complex especially when only non-invasive experiments are used. Therefore, there is a critical need to develop procedure for calibration of parameters of the electrochemical models. The challenge associated with it lies in design of experiments, optimization and parameter grouping. The thesis presents an outline of methodology for calibrating the parameters of a physics based model (Extended single particle model is used in the study). This is done by combining knowledge of input excitation (on parameter identification) and usage of previous work on sensitivity analysis and Fisher information, to group the parameters which maximizes the identification of parameters. The calibration methodology proposed is implemented for 2 cell chemistries i.e. NMC/graphite and NMC/Graphite-SiO. The thesis further presents the sensitivity analysis approach which is used to group the parameters and check the dynamics associated with the sensitivity of parameters. The sensitivity profile was used to identify the experimental profile and data points within the profile which increases accurate parameter identification. This is done by design of cost function which gives weightage to sensitive data points. 2020 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1587816603247479 http://rave.ohiolink.edu/etdc/view?acc_num=osu1587816603247479 restricted--full text unavailable until 2025-05-13 This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Mechanical Engineering
spellingShingle Mechanical Engineering
Dangwal, Chitra
Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
author Dangwal, Chitra
author_facet Dangwal, Chitra
author_sort Dangwal, Chitra
title Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
title_short Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
title_full Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
title_fullStr Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
title_full_unstemmed Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries
title_sort electrochemical model calibration process based on sensitivity analysis for lithium-ion batteries
publisher The Ohio State University / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1587816603247479
work_keys_str_mv AT dangwalchitra electrochemicalmodelcalibrationprocessbasedonsensitivityanalysisforlithiumionbatteries
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