Time delay in the charge/discharge of fractional-order capacitive energy storage devices

被引:2
|
作者
Balaguera, Enrique H. [1 ,2 ]
Allagui, Anis [2 ]
机构
[1] Univ Rey Juan Carlos, Escuela Super Ciencias Expt & Tecnol, C Tulipan S-N, Mostoles 28933, Madrid, Spain
[2] Univ Sharjah, Dept Sustainable & Renewable Energy Engn, POB 27272, Sharjah, U Arab Emirates
关键词
Capacitance; Constant phase element; Transient analysis; Fractional calculus; Steady-state response; Supercapacitor; IDENTIFICATION; ADMITTANCE; CIRCUITS; MODEL; POWER;
D O I
10.1016/j.jpowsour.2024.235094
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Electrical energy storage devices exhibit dispersive properties that control their charge and discharge processes. To get a deeper understanding of these anomalous phenomena, it is essential to go beyond static viewpoints of circuit theory in order to accurately characterize the complex interplay of internal mechanisms. Specifically, the (dis)charging time of resistive-capacitive networks is commonly estimated as four times the product of the The<acute accent>venin resistance and the capacitance itself by assuming ideal exponential relaxations in spite of the intrinsic fractional dynamics of the real energy storage materials, leading to inaccurate and erroneous characterization protocols. The purpose of this work is to provide recommended practices to find the steady-state operation of such type of devices from time-domain data with a decelerated behavior of the Mittag-Leffler function at long time scales, introducing the concept of "incremental capacitance" in the transition from ideal to fractional-order capacitor and thus, an estimation of the charge/discharge time delay. Our theoretical analysis is validated by providing a representative example of experimental application, based on an electrochemical power source, such as supercapacitors under switching-type operation. We hope to bring such study to the attention of multidisciplinary readers, both from academia and industry, focused on energy storage device research.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] The effect of time delay on the dynamics of a fractional-order epidemic model
    Wu, Wanqin
    Zhou, Jianwen
    Li, Zhixiang
    Tan, Xuewen
    ADVANCES IN CONTINUOUS AND DISCRETE MODELS, 2025, 2025 (01):
  • [22] Synchronization of fractional-order repressilatory genetic oscillators with time delay
    Lu, Qiang
    Lu, Wenxuan
    Zhang, Yuchen
    INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2024, 15 (01)
  • [23] State Estimation of Fractional-Order Neural Networks with Time Delay
    Bao, Haibo
    Cao, Jinde
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 1573 - 1577
  • [24] Disturbance Rejection for Fractional-Order Time-Delay Systems
    Jiang, Hai-Peng
    Liu, Yong-Qiang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [25] Stabilization of fractional-order coupled systems with time delay on networks
    Chen, Liping
    Wu, Ranchao
    Chu, Zhaobi
    He, Yigang
    NONLINEAR DYNAMICS, 2017, 88 (01) : 521 - 528
  • [26] Stability and Stabilization of the Fractional-Order Power System With Time Delay
    Yu, Zhongming
    Sun, Yue
    Dai, Xin
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (11) : 3446 - 3450
  • [27] Stability Analysis of Fractional-Order Neural Networks with Time Delay
    Wang, Hu
    Yu, Yongguang
    Wen, Guoguang
    Zhang, Shuo
    NEURAL PROCESSING LETTERS, 2015, 42 (02) : 479 - 500
  • [28] Dynamic analysis of a fractional-order SIRS model with time delay
    Zhou, Xueyong
    Wang, Mengya
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2022, 27 (02): : 368 - 384
  • [29] Stability Analysis of Fractional-Order Neural Networks with Time Delay
    Hu Wang
    Yongguang Yu
    Guoguang Wen
    Shuo Zhang
    Neural Processing Letters, 2015, 42 : 479 - 500
  • [30] Robust stabilization of interval fractional-order plants with an interval time delay by fractional-order proportional integral derivative controllers
    Ghorbani, Majid
    Tepljakov, Aleksei
    Petlenkov, Eduard
    IET CONTROL THEORY AND APPLICATIONS, 2024, 18 (05): : 614 - 625