Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 02019 | |
Number of page(s) | 11 | |
Section | Electric Drives and Vehicles | |
DOI | https://doi.org/10.1051/e3sconf/202454002019 | |
Published online | 21 June 2024 |
Comparative Review on Energy Management for Hybrid Electric Vehicles in Smart Cities
1 Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Uttar Pradesh, India .
2 Assistant Professor, Electrical Engineering, Vivekananda Global University, Jaipur, India .
3 Professor & Head, Department of Mechanical Engineering Dep.t| FET|JAIN( Deemed- to – be University) .
4 Assistant Professor, Department of Mechanical Engineering, Sanskriti University, Mathura, Uttar Pradesh, India .
* Corresponding Author :bhanupratapmit@gmail.com
** manish.srivastava@vgu.ac.in
*** h.adarsha@jainuniversity.ac.in
**** arvind.ag@sanskriti.edu.in
This paper reviews different ways to manage energy in Hybrid Electric Vehicles (HEVs) for smart cities by looking at three separate studies. Initially, it explores a structured approach to solving energy management issues in HEVs, comparing three known methods and highlighting one that can be used in real-time. Next, it discusses a creative use of Petri Nets (PNs) for managing energy, either on its own or with the Global Positioning System (GPS). This part points out the benefits of using GPS to manage energy better during different driving conditions. Lastly, the paper talks about the need to improve energy management in a specific type of HEV to address current environmental and energy challenges. It mentions the use of a Genetic Algorithm (GA) to improve energy management strategies, aiming to extend the life of the vehicle’s fuel cell and improve energy efficiency. Through these discussions, this review aims to provide a clear understanding of how energy management in HEVs can be improved in smart city settings.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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