Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery
Lithium-ion batteries are the thriving energy storage device in multiple fields, including automobiles, smart energy grids, and telecommunication. Due to its high complexity in the electrochemical–electrical–thermal system, there are certain non-linear spatiotemporal scales for measuring the perform...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-03-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.851377/full |
_version_ | 1819178477924909056 |
---|---|
author | Snigdha Sharma Snigdha Sharma Amrish K. Panwar M. M. Tripathi |
author_facet | Snigdha Sharma Snigdha Sharma Amrish K. Panwar M. M. Tripathi |
author_sort | Snigdha Sharma |
collection | DOAJ |
description | Lithium-ion batteries are the thriving energy storage device in multiple fields, including automobiles, smart energy grids, and telecommunication. Due to its high complexity in the electrochemical–electrical–thermal system, there are certain non-linear spatiotemporal scales for measuring the performance of lithium-ion batteries. The fusion of experimental and modeling approaches was used in this study to enhance the performance of lithium-ion batteries. This article helps to evaluate the properties of the LiMn2O4 cathode material for Li-ion batteries and also characterize the crystalline nature, morphological structure, and ionic and electronic conductivity of the electrode material using an experimental approach. In addition, a new computational model was designed and formulated to support various other models for computational investigation. This simulation was designed to analyze the one-dimensional structure of coin cell batteries and to evaluate electrochemical and thermal performances. All computational performances have been validated with the help of experimental techniques and also provide multiple benchmarks for future integration of experimental and computational approaches. |
first_indexed | 2024-12-22T21:43:11Z |
format | Article |
id | doaj.art-c110e600f90b43d6acc80f2c8789efb4 |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-12-22T21:43:11Z |
publishDate | 2022-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
spelling | doaj.art-c110e600f90b43d6acc80f2c8789efb42022-12-21T18:11:33ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-03-011010.3389/fenrg.2022.851377851377Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion BatterySnigdha Sharma0Snigdha Sharma1Amrish K. Panwar2M. M. Tripathi3Department of Electrical Engineering, Delhi Technological University, New Delhi, IndiaDepartment of Applied Physics, Delhi Technological University, New Delhi, IndiaDepartment of Applied Physics, Delhi Technological University, New Delhi, IndiaDepartment of Electrical Engineering, Delhi Technological University, New Delhi, IndiaLithium-ion batteries are the thriving energy storage device in multiple fields, including automobiles, smart energy grids, and telecommunication. Due to its high complexity in the electrochemical–electrical–thermal system, there are certain non-linear spatiotemporal scales for measuring the performance of lithium-ion batteries. The fusion of experimental and modeling approaches was used in this study to enhance the performance of lithium-ion batteries. This article helps to evaluate the properties of the LiMn2O4 cathode material for Li-ion batteries and also characterize the crystalline nature, morphological structure, and ionic and electronic conductivity of the electrode material using an experimental approach. In addition, a new computational model was designed and formulated to support various other models for computational investigation. This simulation was designed to analyze the one-dimensional structure of coin cell batteries and to evaluate electrochemical and thermal performances. All computational performances have been validated with the help of experimental techniques and also provide multiple benchmarks for future integration of experimental and computational approaches.https://www.frontiersin.org/articles/10.3389/fenrg.2022.851377/fullgreen energyenergy storage deviceslithium-ion batteryelectrochemical testelectrical and thermal test |
spellingShingle | Snigdha Sharma Snigdha Sharma Amrish K. Panwar M. M. Tripathi Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery Frontiers in Energy Research green energy energy storage devices lithium-ion battery electrochemical test electrical and thermal test |
title | Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery |
title_full | Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery |
title_fullStr | Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery |
title_full_unstemmed | Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery |
title_short | Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery |
title_sort | multiscale modeling and experimental characterization for enhancement in electrical mechanical and thermal performances of lithium ion battery |
topic | green energy energy storage devices lithium-ion battery electrochemical test electrical and thermal test |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.851377/full |
work_keys_str_mv | AT snigdhasharma multiscalemodelingandexperimentalcharacterizationforenhancementinelectricalmechanicalandthermalperformancesoflithiumionbattery AT snigdhasharma multiscalemodelingandexperimentalcharacterizationforenhancementinelectricalmechanicalandthermalperformancesoflithiumionbattery AT amrishkpanwar multiscalemodelingandexperimentalcharacterizationforenhancementinelectricalmechanicalandthermalperformancesoflithiumionbattery AT mmtripathi multiscalemodelingandexperimentalcharacterizationforenhancementinelectricalmechanicalandthermalperformancesoflithiumionbattery |