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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48275

Analysis of Vehicle Dynamics Effects on Electric Vehicle Performance: A Mathematical and Simulation-Based Study

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48275

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48275

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SVPSR

S V Pratap Simha Reddy1

MVK

M. Vijaya Kumar2

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Abstract

This study examines the impact of vehicle dynamics on electric vehicle (EV) performance, focusing on energy requirement and driving range. Four primary forces—rolling resistance , gradient force ( , aerodynamic drag ( , and inertia resistance ( — are modelled using the tractive force equation = . Detailed theoretical explanations elucidate each force’s physical basis. Numerical calculations for a baseline EV on a 2° uphill slope with zero acceleration are presented, with a comparison table evaluating six values for drag coefficient, vehicle mass, rolling resistance coefficient, and road gradient at 90 km/h. A case with non-zero acceleration illustrates inertia’s impact. Simulink models of vehicle dynamics and resistance forces validate analytical results, providing a robust simulation framework. Results, validated that optimizing these parameters significantly enhances EV performance, guiding sustainable transportation design.

KEYWORDS

Vehicle Dynamics Total Tractive Force Energy Optimization Simulink model EV Range.

Cite This Article

S V Pratap Simha Reddy1, M. Vijaya Kumar2, "Analysis of Vehicle Dynamics Effects on Electric Vehicle Performance: A Mathematical and Simulation-Based Study," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48275

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Publication Date

5/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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