Numerical Analysis of structural batteries response with the presence of uncertainty

In order to further reduce oil dependence and world pollution, there’s growing interest in embedding batteries such as Li-Po batteries within vehicle components. The implementation of structural batteries is believed to be the next promising approach for next-generation hybrid and electric vehicles....

Full description

Bibliographic Details
Main Authors: Syahiir Kamil, Ahmad Kamal Ariffin, Abdul Hadi Azman, Mohamad Syazwan Zafwan Mohamad Suffian
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/22882/1/06%20%282%29.pdf
_version_ 1796933684672069632
author Syahiir Kamil,
Ahmad Kamal Ariffin,
Abdul Hadi Azman,
Mohamad Syazwan Zafwan Mohamad Suffian,
author_facet Syahiir Kamil,
Ahmad Kamal Ariffin,
Abdul Hadi Azman,
Mohamad Syazwan Zafwan Mohamad Suffian,
author_sort Syahiir Kamil,
collection UKM
description In order to further reduce oil dependence and world pollution, there’s growing interest in embedding batteries such as Li-Po batteries within vehicle components. The implementation of structural batteries is believed to be the next promising approach for next-generation hybrid and electric vehicles. The proposed research is devoted to the uncertainty analysis of structural battery behavior under various parameters. To help with the analysis, a dedicated algorithm based on an elimination approach to solve numerical problems with uncertain parameters is successfully developed using Visual Basic. The Constant Strain Triangle element with linear elastic behavior is used as a structural model to simplify the model. Uncertainty of the material properties and loading are modeled as Fuzzy Random Variables. In evaluating the influence of the uncertainty parameters, Interval Monte Carlo Simulation and the interval finite element method are used to compute the bounds of the structure behavior. Simulation results between the Interval Monte Carlo and Deterministic are compared to evaluate the significance of the uncertainty factor influences. It is shown that the structural batteries that can be considered safe based on deterministic parameters may be unsafe if the uncertainty parameters are considered. The proposed approach could detect the results that are not necessarily detected through deterministic means. By producing a broader result, further prevention and consideration can be made to avoid catastrophic events.
first_indexed 2024-03-06T04:51:00Z
format Article
id ukm.eprints-22882
institution Universiti Kebangsaan Malaysia
language English
last_indexed 2024-03-06T04:51:00Z
publishDate 2023
publisher Penerbit Universiti Kebangsaan Malaysia
record_format dspace
spelling ukm.eprints-228822024-01-24T03:10:14Z http://journalarticle.ukm.my/22882/ Numerical Analysis of structural batteries response with the presence of uncertainty Syahiir Kamil, Ahmad Kamal Ariffin, Abdul Hadi Azman, Mohamad Syazwan Zafwan Mohamad Suffian, In order to further reduce oil dependence and world pollution, there’s growing interest in embedding batteries such as Li-Po batteries within vehicle components. The implementation of structural batteries is believed to be the next promising approach for next-generation hybrid and electric vehicles. The proposed research is devoted to the uncertainty analysis of structural battery behavior under various parameters. To help with the analysis, a dedicated algorithm based on an elimination approach to solve numerical problems with uncertain parameters is successfully developed using Visual Basic. The Constant Strain Triangle element with linear elastic behavior is used as a structural model to simplify the model. Uncertainty of the material properties and loading are modeled as Fuzzy Random Variables. In evaluating the influence of the uncertainty parameters, Interval Monte Carlo Simulation and the interval finite element method are used to compute the bounds of the structure behavior. Simulation results between the Interval Monte Carlo and Deterministic are compared to evaluate the significance of the uncertainty factor influences. It is shown that the structural batteries that can be considered safe based on deterministic parameters may be unsafe if the uncertainty parameters are considered. The proposed approach could detect the results that are not necessarily detected through deterministic means. By producing a broader result, further prevention and consideration can be made to avoid catastrophic events. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22882/1/06%20%282%29.pdf Syahiir Kamil, and Ahmad Kamal Ariffin, and Abdul Hadi Azman, and Mohamad Syazwan Zafwan Mohamad Suffian, (2023) Numerical Analysis of structural batteries response with the presence of uncertainty. Jurnal Kejuruteraan, 35 (6). pp. 1329-1339. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3506-2023/
spellingShingle Syahiir Kamil,
Ahmad Kamal Ariffin,
Abdul Hadi Azman,
Mohamad Syazwan Zafwan Mohamad Suffian,
Numerical Analysis of structural batteries response with the presence of uncertainty
title Numerical Analysis of structural batteries response with the presence of uncertainty
title_full Numerical Analysis of structural batteries response with the presence of uncertainty
title_fullStr Numerical Analysis of structural batteries response with the presence of uncertainty
title_full_unstemmed Numerical Analysis of structural batteries response with the presence of uncertainty
title_short Numerical Analysis of structural batteries response with the presence of uncertainty
title_sort numerical analysis of structural batteries response with the presence of uncertainty
url http://journalarticle.ukm.my/22882/1/06%20%282%29.pdf
work_keys_str_mv AT syahiirkamil numericalanalysisofstructuralbatteriesresponsewiththepresenceofuncertainty
AT ahmadkamalariffin numericalanalysisofstructuralbatteriesresponsewiththepresenceofuncertainty
AT abdulhadiazman numericalanalysisofstructuralbatteriesresponsewiththepresenceofuncertainty
AT mohamadsyazwanzafwanmohamadsuffian numericalanalysisofstructuralbatteriesresponsewiththepresenceofuncertainty