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Design and Optimization of Hybrid Electric Vehicles

by John Brown 1,*
1
John Brown
*
Author to whom correspondence should be addressed.
TET  2021, 21; 3(2), 21; https://doi.org/10.69610/j.tet.20210816
Received: 17 June 2021 / Accepted: 22 July 2021 / Published Online: 16 August 2021

Abstract

The paper presents a comprehensive study on the design and optimization of hybrid electric vehicles (HEVs). HEVs have become increasingly popular as an environmentally friendly alternative to traditional internal combustion engine vehicles due to their ability to reduce greenhouse gas emissions and fuel consumption. The primary objective of this work is to analyze the current state of HEV technology and propose innovative design and optimization strategies that enhance vehicle performance, efficiency, and sustainability.


Copyright: © 2021 by Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Brown, J. Design and Optimization of Hybrid Electric Vehicles. Transactions on Engineering and Technology, 2021, 3, 21. https://doi.org/10.69610/j.tet.20210816
AMA Style
Brown J. Design and Optimization of Hybrid Electric Vehicles. Transactions on Engineering and Technology; 2021, 3(2):21. https://doi.org/10.69610/j.tet.20210816
Chicago/Turabian Style
Brown, John 2021. "Design and Optimization of Hybrid Electric Vehicles" Transactions on Engineering and Technology 3, no.2:21. https://doi.org/10.69610/j.tet.20210816
APA style
Brown, J. (2021). Design and Optimization of Hybrid Electric Vehicles. Transactions on Engineering and Technology, 3(2), 21. https://doi.org/10.69610/j.tet.20210816

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