Kinematic analysis and structural design of suspension wishbone for a solar electric vehicle
This paper focuses on the kinematic simulation, design and analysis of a double wishbone suspension system that will be used in an adventure class vehicle designed and manufactured according to Electric Solar Vehicle Championship specifications. Initially, the suspension hardpoints were determined using LOTUSTM Shark suspension analysis software based on kinematic simulations to ensure better vehicle handling. The resulting hardpoints were used to create the geometric model of the wishbone. The operating loads on the wishbone were estimated and static structural analysis was carried out using ANSYSTM Workbench software to propose a suitable light weight wishbone design and material for the same. In addition, to compute the life of the wishbone, fatigue analysis was performed. After interference checks, the wishbones were fabricated and put together with other suspension assembly parts. The vehicle was driven on the campus road under various road conditions in order to ensure whether the wishbones work as intended.
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- Find a library where document is available. Order URL: http://worldcat.org/issn/17456436
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Supplemental Notes:
- Copyright © 2024 Inderscience Enterprises Ltd.
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Authors:
- Furtado, Kelly Ann Dennis
- Ganju, Shubham
- Birawat, Fanil Harshad
- Shenoy, Nagesh
- Acharya, Subash
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 288-310
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Serial:
- International Journal of Vehicle Systems Modelling and Testing
- Volume: 17
- Issue Number: 3-4
- Publisher: Inderscience Enterprises Limited
- ISSN: 1745-6436
- EISSN: 1745-6444
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVSMT
Subject/Index Terms
- TRT Terms: Electric vehicles; Kinematics; Mechanical fatigue; Structural analysis; Suspension systems; Vehicle design
- Subject Areas: Design; Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01906018
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 26 2024 10:02AM