Life Cycle Capacity Evaluation for Battery Energy Storage Systems

Author:

Sun Yushu1,Yue Xinyi2,Zhuang Guofeng3,Pan Yifan4,Pei Wei1,Tang Xisheng1

Affiliation:

1. Institute of Electrical Engineering, Chinese Academy of Sciences

2. State Grid Chongqing Electric Power Research Institute

3. State Grid Gansu Electric Power Company

4. State Grid Hangzhou Qiantang District Power Supply Company

Abstract

Abstract Based on the SOH definition of relative capacity, a whole life cycle capacity analysis method for battery energy storage systems is proposed in this paper. Due to the ease of data acquisition and the ability to characterize the capacity characteristics of batteries, voltage is chosen as the research object. Firstly, the first-order low-pass filtering algorithm, wavelet packet decomposition algorithm, and empirical mode decomposition algorithm are used to decompose the voltage data of complete battery charging and discharging cycles into high & low frequency bands; Furthermore, the Pearson correlation coefficient is applied to analyze the linear relationship between high/low frequency band voltage and capacity, and to extract evaluation indicators related to capacity; Finally, the SOH evaluation accuracy of the proposed strategy through different application scenarios is verified to improve its generalization ability.

Publisher

Research Square Platform LLC

Reference21 articles.

1. Simultaneous optimization of renewable energy and energy storage capacity with the hierarchical control[J];Shi ZD;CSEE Journal of Power and Energy Systems,2022

2. Additional capacity value from synergy of variable renewable energy and energy storage[J];Byers C;IEEE Transactions on Sustainable Energy,2020

3. State-of-health estimation of lithium-ion batteries for electrified vehicles using a reduced-order electrochemical model[J];Hosseininasab S;Journal of Energy Storage,2022

4. Online capacity estimation for lithium-ion battery cells via an electrochemical model-based adaptive interconnected observer[J];Allam A;IEEE Transactions on Control Systems Technology,2021

5. Online state of health and aging parameter estimation using a physics-based life model with a particle filter[J];Bi YL;Journal of Power Sources,2020

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