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Related Experiment Video

Updated: Aug 22, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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Optimisation and Efficiency Improvement of Electric Vehicles Using Computational Fluid Dynamics Modelling.

Darryl Afianto¹, Yu Han², Peiliang Yan³

¹Faculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QF, UK.

Entropy (Basel, Switzerland)

|November 11, 2022

Summary

This study optimized electric vehicle aerodynamics using computational fluid dynamics. Modifications reduced drag by 10% and lift by 73%, improving efficiency and safety.

Keywords:

aerodynamics computational fluid dynamics design electric hatchback electric vehicle fuel efficiency optimization

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Area of Science:

Automotive Engineering
Aerodynamics
Computational Fluid Dynamics

Background:

Growing awareness of global warming drives demand for increased automotive efficiency.
Aerodynamic design optimization is crucial for enhancing electric vehicle (EV) performance by minimizing drag and lift.
Computational Fluid Dynamics (CFD) modeling offers a powerful tool for analyzing and optimizing vehicle aerodynamics.

Purpose of the Study:

To analyze and optimize the aerodynamic characteristics of an electric vehicle (EV) for improved efficiency.
To investigate the impact of various design modifications on drag and lift coefficients.
To validate simulation results against experimental data from existing literature.

Main Methods:

Utilized computational fluid dynamics (CFD) modeling to simulate airflow around an electric hatchback.
Implemented and tested multiple design modifications, including front splitters and rear diffusers.
Validated the numerical model against established experimental data for accuracy.
Analyzed simulation results, focusing on velocity magnitude, drag coefficient, drag force, and lift coefficient.

Main Results:

The optimized electric vehicle design achieved a 10% reduction in aerodynamic drag coefficient compared to the base model.
Individual modifications showed varying effectiveness, with the rear diffuser yielding an 11.18% drag reduction.
A significant 73% reduction in lift coefficient was achieved, enhancing vehicle stability at high speeds.
Flow visualization confirmed airflow improvements and consistent simulation outcomes.

Conclusions:

Aerodynamic design optimization significantly enhances electric vehicle efficiency and safety.
The developed modifications offer a viable pathway to reduce energy consumption and emissions in transportation.
This research contributes to advancing sustainable transportation solutions through improved vehicle design.