Optimizing Material Selection for Electric Vehicle Chassis: A Mechanical Properties Approach

Purab Sen, Aaditya Yadav, Abhishek Pandey, Samip Aanand Shah, Priyanshu Aryan, Gayathri Ramasamy

2025

Abstract

It seeks to lay out an extended procedure for choosing materials for an EV chassis by employing significant mechanical properties and machine learning methods. However, with more demand for lightweight, durable, and efficient vehicles, selecting suitable materials for the chassis becomes a crucial factor in enhancing overall performance. The research uses mechanical properties, including strength, weight and durability, from a large data set to make a machine learning model that spots materials with the most promise for improving chassis design. By combining data-driven insights, this approach modernizes the material selection process that will promote better performance, safety and longevity of an EV. In summary, this work advances material selection methodologies and solidifies next-generation EV design savings, thus facilitating sustainable automotive engineering.

Paper Citation

in Harvard Style

Sen P., Yadav A., Pandey A., Shah S., Aryan P. and Ramasamy G. (2025). Optimizing Material Selection for Electric Vehicle Chassis: A Mechanical Properties Approach. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 796-803. DOI: 10.5220/0013920900004919

in Bibtex Style

@conference{icrdicct`2525,
author={Purab Sen and Aaditya Yadav and Abhishek Pandey and Samip Shah and Priyanshu Aryan and Gayathri Ramasamy},
title={Optimizing Material Selection for Electric Vehicle Chassis: A Mechanical Properties Approach},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={796-803},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013920900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Optimizing Material Selection for Electric Vehicle Chassis: A Mechanical Properties Approach
SN - 978-989-758-777-1
AU - Sen P.
AU - Yadav A.
AU - Pandey A.
AU - Shah S.
AU - Aryan P.
AU - Ramasamy G.
PY - 2025
SP - 796
EP - 803
DO - 10.5220/0013920900004919
PB - SciTePress