Authors

Muhammad Fajar Nugroho

Mechanical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Andi Saputra Wijaya

Mechanical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Abstract

The increasing demand for sustainable transportation has significantly accelerated the development of compact electric vehicles (EVs) for urban mobility applications. A crucial component of any electric vehicle is its chassis or frame, which serves as the primary load-bearing structure supporting passengers, battery packs, drivetrain components, and suspension systems. This study presents the design and finite element-based structural analysis of a two-seater electric vehicle frame aimed at achieving optimal strength-to-weight ratio while ensuring safety and structural integrity. The frame is modeled using advanced computer-aided design (CAD) software and evaluated through finite element analysis (FEA) under various static loading conditions including passenger load, battery load, and impact considerations. Parameters such as total deformation, equivalent (Von Mises) stress, strain distribution, and factor of safety are examined to validate the structural performance. The numerical results confirm that the proposed frame design satisfies permissible stress limits while maintaining lightweight characteristics, thereby enhancing vehicle efficiency and driving range. This research contributes to the development of structurally efficient and economically feasible EV chassis systems suitable for low-speed urban transportation.

Keywords

Electric Vehicle (EV); Chassis Design; Finite Element Analysis (FEA); Structural Analysis; Lightweight Structure; Von Mises Stress; Factor of Safety; Vehicle Frame

Citation of this Article

Muhammad Fajar Nugroho, & Andi Saputra Wijaya. (2025). Finite Element Based Structural Analysis of a Two-Seater Electric Vehicle Frame. Journal of Artificial Intelligence and Emerging Technologies (JAIET). 2(2), 12-15. Article DOI: https://doi.org/10.47001/JAIET/2025.202003

Licence Copyright (c) 2026 Journal of Artificial Intelligence and Emerging Technologies. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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