Numerical Analysis of Structural Batteries Response with the Presence of Uncertainty

Syahiir, Kamil and Mohamad Syazwan Zafwan, Mohamad Suffian and Ahmad Kamal Ariffin, Mohd Ihsan and Abdul Hadi, Azman (2023) Numerical Analysis of Structural Batteries Response with the Presence of Uncertainty. Jurnal Kejuruteraan, 35 (6). pp. 1329-1339. ISSN 2289-7526

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Official URL: https://www.ukm.my/jkukm/volume-3506-2023/

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Electric vehicle; fuzzy random variable; Interval Monte Carlo; structural battery; uncertainty.
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Mohamad Suffian
Date Deposited: 06 Dec 2023 00:52
Last Modified: 06 Dec 2023 00:52
URI: http://ir.unimas.my/id/eprint/43551

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