Author(s)

Tianshuo Jin ¹

Affiliation(s)

¹ College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea

Corresponding Author

Tianshuo Jin

ABSTRACT

This study aims to investigate the acceleration performance of electric vehicles under varying parameters. To achieve this objective, a velocity iteration model will be developed based on the electric vehicle's power output while considering various environmental factors. Parameters such as mass, rolling resistance, and air resistance will be systematically adjusted, and a series of tests will be conducted to simulate the acceleration performance of electric vehicles under different road and environmental conditions. This research aims to provide a comprehensive understanding of electric vehicle performance characteristics, offering valuable insights for the design and optimization of electric vehicle performance. Ultimately, this research contributes to the advancement and application of electric vehicle technology.

KEYWORDS

Electric vehicle; parameter variations; environmental factors

CITE THIS PAPER

Tianshuo Jin, Electric Vehicle Performance Simulation under Parameter Variations. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 92-99. DOI: http://dx.doi.org/10.23977/jeeem.2023.060512.

REFERENCES

[1] Mukherjee, D. Effect of pavement conditions on rolling resistance. Am. J. Eng. Res. (AJER) 3, 141–148 (2014).
[2] Bettes, W. H. The aerodynamic drag of road vehicles-past, present, and future. Eng. Sci. 45, 4–10 (1982).
[3] Ehsani, M., Gao, Y., Longo, S. & Ebrahimi, K. Modern electric, hybrid electric, and fuel cell vehicles (CRC press, 2018).
[4] Yao, Y., Cao, W. & Li, Q. Discussion on the prediction method of the running resistance of tracked vehicle. (2019).
[5] Kwon, K., Lee, J. & Min, S. Motor and transmission multiobjective optimum design for tracked hybrid electric vehicles considering equivalent inertia of track system. IEEE Transactions on Transp. Electrification DOI: 10.1109/TTE.2021. 3081115 (2021).

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