Control of an Electric Vehicle Hybrid Energy Storage System

Author:

Ferencz János1,Kelemen András2,Imecs Mária3

Affiliation:

1. Technical University of Cluj-Napoca , Doctoral School, Faculty of Electrical Engineering , Cluj-Napoca , Romania

2. Sapientia Hungarian University of Transylvania , Faculty of Technical and Human Sciences, Department of Electrical Engineering , Târgu Mureș , Romania

3. Technical University of Cluj-Napoca , Faculty of Electrical Engineering, Doctoral School, Department of Electrical Machines and Drives , Cluj-Napoca , Romania

Abstract

Abstract In electric vehicles battery life can be prolonged by using hybrid energy storage systems (HESS ), which combine high energy density batteries with supercapacitors, characterized by high power density. This paper deals with the control of electronic power converters from an active parallel HESS. The load of the HESS is the electrical motor drive of an electric vehicle. The interfaces between the DC-link and the power sources are four-phase bidirectional DC-DC converters driven in current control mode, based on the current references supplied by an active parallel HESS power distribution algorithm. We present a rule-based fuzzy energy management algorithm for a HESS powered electric vehicle and its simulation in MATLAB/Simulink® environment using the Quasi-Static Simulation (QSS ) and Fuzzy Logic toolboxes. Also, simulation results in driving and regenerative braking operation modes of the electric vehicle are presented.

Publisher

Muszaki Tudomanyos Kozlemenyek

Subject

General Arts and Humanities

Reference15 articles.

1. [1] S. M. Lukic, J. Cao, R. C. Bansal, F. Rodriguez, A. Emadi: Energy Storage Systems For Automotive Applications. IEEE Trans. on Industrial Electronics, 55/6. (2008) 2258–2267. https://doi.org/10.1109/TIE.2008.918390

2. [2] Ferencz J., Kelemen A., Imecs M.: Energy management of a hybrid energy storage system. (in Hungarian) In: XXI. International Online Multi-Conference of Energetics and Electrical Engineering & Computer Science ENELKO & SzamOkt 2020. EMT, Cluj-Napoca, 2020. 40–45. https://ojs.emt.ro/index.php/enelko-szamokt/article/view/315/255

3. [3] H. Yu, F. Cheli, F. Castelli-Dezza, D. Cao, F.-Y. Wang: Multiobjective Optimal Sizing and Energy Management of Hybrid Energy Storage System for Electric Vehicles. https://www.researchgate.net/publication/322652476_Multi-objective_Optimal_Sizing_and_Energy_Management_of_Hybrid_Energy_Storage_System_for_Electric_Vehicles

4. [4] Maarten J. van Jaarsveld, Rupert Gouws: An active hybrid energy storage system utilizing a fuzzy logic rule-based control strategy. World Electric Vehicle Journal, 2020/4. 1–24. https://doi.org/10.3390/wevj11020034

5. [5] Zhang Q., Deng W., Zhang S., Wu J.: A rule based energy management system of experimental battery/supercapacitor hybrid energy storage system for electric vehicles. Journal of Control Science and Engineering, 2016. 1–17. https://doi.org/10.1155/2016/6828269

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