Design and Optimization Analysis of Two-Wheeler EV Chassis

The rapid growth in electric two-wheelers has led to the increased need for lightweight and stiff chassis systems. The chassis is an important member affecting rider safety, stability, and overall performance, while also making a significant contribution to the total weight of the vehicle, which can affect energy efficiency and range. Conventional materials such as steel and aluminium will generally compromise weight versus stiffness, which can negatively impact efficiency and range in even the most efficient electric vehicle. This study investigates a design, analysis, and optimization process of an electric two-wheeler chassis system fabricated using AISI 4130 Chromoly Steel. Chromoly steel was selected for its high strength-to-weight ratio and excellent weldability. A solid 3D model was produced in SolidWorks followed by an analysis using ANSYS Workbench for static loading to determine maximum stress and deformation, as well as factor of safety. Additionally, there was topology and size optimization for weight improvement while maintaining the structural integrity of the chassis system. The optimized (revised) version of the chassis reduced weight by roughly 22.5% while maintaining a Factor of Safety (FOS) of 2 or greater. This would indicate better stiffness-to-weight ratio, lower center of gravity, and improvements in energy efficiency and handling. Overall, the work is meant to provide a useful avenue toward practical lightweight and performance chassis designs for electric two-wheelers.

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-10-14
DOI
https://doi.org/10.48175/ijarsct-29237
Primary Topic
Mechanical Engineering and Vibrations Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Optimization Analysis of Two-Wheeler EV Chassis

Dhruv D. Modhiya, Kirankumar. K. Bhabhor
International Journal of Advanced Research in Science Communication and Technology
Mechanical Engineering and Vibrations Research
article

Design and Optimization Analysis of Two-Wheeler EV Chassis

Dhruv D. Modhiya, Kirankumar. K. Bhabhor
article en

Abstract

The rapid growth in electric two-wheelers has led to the increased need for lightweight and stiff chassis systems. The chassis is an important member affecting rider safety, stability, and overall performance, while also making a significant contribution to the total weight of the vehicle, which can affect energy efficiency and range. Conventional materials such as steel and aluminium will generally compromise weight versus stiffness, which can negatively impact efficiency and range in even the most efficient electric vehicle. This study investigates a design, analysis, and optimization process of an electric two-wheeler chassis system fabricated using AISI 4130 Chromoly Steel. Chromoly steel was selected for its high strength-to-weight ratio and excellent weldability. A solid 3D model was produced in SolidWorks followed by an analysis using ANSYS Workbench for static loading to determine maximum stress and deformation, as well as factor of safety. Additionally, there was topology and size optimization for weight improvement while maintaining the structural integrity of the chassis system. The optimized (revised) version of the chassis reduced weight by roughly 22.5% while maintaining a Factor of Safety (FOS) of 2 or greater. This would indicate better stiffness-to-weight ratio, lower center of gravity, and improvements in energy efficiency and handling. Overall, the work is meant to provide a useful avenue toward practical lightweight and performance chassis designs for electric two-wheelers.

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 70%
Mechanical Engineering and Vibrations Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.