An adaptive power distribution scheme for hybrid energy storage system to reduce the battery energy throughput in electric vehicles

Author:

Ren Yaxing1ORCID,Chen Si2,Marco James1

Affiliation:

1. Warwick Manufacturing Group (WMG), The University of Warwick, UK

2. James Watt School of Engineering, University of Glasgow, UK

Abstract

The battery/supercapacitor (SC) hybrid energy storage system (HESS) is widely applied in electric vehicles (EVs) in recent years due to the hybrid system which combines the benefits of both devices. This paper proposes an adaptive power distribution scheme for battery/SC HESS to maximise the usage of SC according to its stored energy and load current. In the approach, the low-pass filter is developed with adaptive algorithm to calculate the suitable cut-off frequency to allocate the power demand between the battery and SC. The approach can adjust the cut-off frequency but not change the structure of the control system, and thus its original property of simple implementation and stability is not affected. The comprehensive simulation study verifies the effectiveness of the proposed adaptive power distribution scheme in a battery/SC HESS and its stability is further validated using Lyapunov method. The result shows that the adaptive method performs better than a traditional control system with 20%–40% less battery energy throughput during operation and can adjust the dynamic response of the HESS according to the energy capacity of SC to further improve system efficiency. The proposed adaptive power distribution scheme is verified able to extend the service life of the HESS system in EV applications.

Publisher

SAGE Publications

Subject

Instrumentation

Reference56 articles.

1. Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage

2. Supercapacitor Sizing Method for Energy-Controlled Filter-Based Hybrid Energy Storage Systems

3. Allegre A-L, Bouscayrol A, Trigui R, et al. (2009) IEEE vehicle power and propulsion conference. IEEE, pp. 213–220. Available at: https://ieeexplore.ieee.org/xpl/conhome/1001124/all-proceedings

4. Accurate modelling and analysis of battery–supercapacitor hybrid energy storage system in DC microgrid systems

5. Bae K-C, Choi S-C, Kim J-H, et al. (2014) IEEE international conference on industrial technology (ICIT). IEEE, pp. 354–358. Available at: https://ieeexplore.ieee.org/xpl/conhome/1000355/all-proceedings

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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