An Innovative Power Management Strategy for Hybrid Battery–Supercapacitor Systems in Electric Vehicle

Author:

Jarraya Imen1ORCID,Abdelhedi Fatma2,Rizoug Nassim3

Affiliation:

1. Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 12435, Saudi Arabia

2. Department of Electrical and Computer Engineering, College of Engineering, King Abdulaziz University, Jeddah 22254, Saudi Arabia

3. Faculty of Engineering, Estaca University, 53000 Laval, France

Abstract

Currently, batteries and supercapacitors play a vital role as energy storage systems in industrial applications, particularly in electric vehicles. Electric vehicles benefit from the high energy density of lithium batteries as well as the high power density of supercapacitors. Hence, a robust and efficient energy management system is required to coordinate energy flows between these two storage systems, ensuring road safety. In this study, we develop a novel rule-based strategy called “Continuous Regulation with Dynamic Battery Power Limiting” to establish robust control between the lithium-ion battery and the supercapacitor. A comparative analysis is conducted to evaluate the performance of this proposed approach in comparison to conventional methods. The results show that this approach significantly enhances driving comfort and prevents depletion of the main energy source, resulting in a gain of nearly 30% compared to a lithium-ion battery electric vehicle. Additionally, this new rules-based strategy ensures that the supercapacitor is charged at the end of each drive cycle.

Funder

Institutional Fund Projects

Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference44 articles.

1. Establishing the exposure–outcome relation between airborne particulate matter and children’s health;Zhang;Thorax,2022

2. Standage, T. (2023, January 01). The Lost History of the Electric Car—And What It Tells Us about the Future of Transport. Available online: https://www.theguardian.com/technology/2021/aug/03/lost-history-electric-car-future-transport.

3. EVs are not the answer: A mobility justice critique of electric vehicle transitions;Henderson;Ann. Am. Assoc. Geogr.,2020

4. Vellingiri, M.T., Mehedi, I.M., and Palaniswamy, T. (2022). A novel deep learning-based state-of-charge estimation for renewable energy management system in hybrid electric vehicles. Mathematics, 10.

5. Jasim, A.M., Jasim, B.H., Baiceanu, F.C., and Neagu, B.C. (2023). Optimized sizing of energy management system for off-grid hybrid solar/wind/battery/biogasifier/diesel microgrid system. Mathematics, 11.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3