Investigations on the Mechanical and Vibrational Characteristics of an Electric Vehicle Chassis using Finite Element Analysis (FEA)

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Mrityunjay Tiwari
Raja Sekhar Dondapati

The chassis of an electric vehicle represents a critical nexus between safety, efficiency, and performance. Its role extends beyond conventional vehicular frameworks, assuming responsibility for housing and protecting vital components, managing thermal dynamics, and providing a robust safety envelope. With the rapid evolution of EV technology, continued advancements in chassis design and engineering will undoubtedly play a pivotal role in shaping the future of sustainable mobility. Structural analysis of the Chassis yields deformation, stress and strain. Similarly, vibration analysis provides the natural frequencies of vibration. Under dynamic conditions, the investigations of these characteristics are done in the present work. Further, failure modes of vibrations are also found using Finite Element Analysis. 


From the present study, it is concluded that, with an increase of pressure by 19%, the average percentage increase in the stress, strain and total deformation is observed to lie in the range of 18 to 20%. Further, it is observed that, the amplitude in the Grey Cast Iron is higher as compared to the other materials considered in the present investigation while the amplitude in the Titanium Alloy is lowest. Additionally, vibration frequency in the Structural Steel is higher as compared to the other materials considered in the present investigation while vibration frequency in the Grey Cast Iron is lowest.  

Investigations on the Mechanical and Vibrational Characteristics of an Electric Vehicle Chassis using Finite Element Analysis (FEA). (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 14(12), 929-941. https://doi.org/10.51583/IJLTEMAS.2025.1412000083

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Investigations on the Mechanical and Vibrational Characteristics of an Electric Vehicle Chassis using Finite Element Analysis (FEA). (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 14(12), 929-941. https://doi.org/10.51583/IJLTEMAS.2025.1412000083