State of charge estimation of lithium-ion batteries using fractional order sliding mode observer

被引：56
|
作者：
Zhong, Qishui [1 ]
Zhong, Fuli [1 ]
Cheng, Jun [2 ]
Li, Hui [1 ]
Zhong, Shouming [3 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Sichuan Provinc, Peoples R China
[2] Hubei Univ Nat, Sch Sci, Enshi 445000, Hubei Province, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan Provinc, Peoples R China
来源：
ISA TRANSACTIONS | 2017年 / 66卷
基金：
中国博士后科学基金;
关键词：
State of charge estimation; Sliding mode observer; Fractional order RC equivalent circuit model; Lithium-ion battery; EQUIVALENT-CIRCUIT MODEL; OF-CHARGE; ACID-BATTERIES; DESIGN; OPTIMIZATION; CONTROLLER; STABILITY; SYSTEMS; HEALTH;
D O I：
10.1016/j.isatra.2016.09.017
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a state of charge (SOC) estimation method based on fractional order sliding mode observer (SMO) for lithium-ion batteries. A fractional order RC equivalent circuit model (FORCECM) is firstly constructed to describe the charging and discharging dynamic characteristics of the battery. Then, based on the differential equations of the FORCECM, fractional-order SMOs for SOC, polarization voltage and terminal voltage estimation are designed. After that, convergence of the proposed observers is analyzed by Lyapunov's stability theory method. The framework of the designed observer system is simple and easy to implement. The SMOs can overcome the uncertainties of parameters, modeling and measurement errors, and present good robustness. Simulation results show that the presented estimation method is effective, and the designed observers have good performance. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：448 / 459
页数：12
相关论文
共 50 条
  • [1] Fractional Order Terminal Sliding Mode Observer for State of Charge Estimation of Lithium-Ion Battery
    Ma, Yunchen
    Xu, Dezhi
    Yang, Weilin
    Pan, Tinglong
    Ding, Yueheng
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 551 - 556
  • [2] A novel method for state of charge estimation of lithium-ion batteries using a nonlinear observer
    Xia, Bizhong
    Chen, Chaoren
    Tian, Yong
    Sun, Wei
    Xu, Zhihui
    Zheng, Weiwei
    JOURNAL OF POWER SOURCES, 2014, 270 : 359 - 366
  • [3] STATE OF CHARGE ESTIMATION BASED ON A NEW SLIDING MODE OBSERVER FOR LITHIUM-ION BATTERIES
    Wang, Guang-Ying
    Wang, Zhong-Hua
    Guo, Hong-Zhen
    2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 374 - 378
  • [4] A New State of Charge Estimation Method for Lithium-ion Battery Based on Sliding Mode Observer
    Wang, Chunyu
    Cui, Naxin
    Liu, Miao
    Zhang, Chenghui
    2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2017, : 5625 - 5630
  • [5] An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries
    Zhong, Fuli
    Li, Hui
    Zhong, Shouming
    Zhong, Qishui
    Yin, Chun
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2015, 24 (1-3) : 127 - 144
  • [6] State of Charge Estimation for Power Lithium-Ion Battery Using a Fuzzy Logic Sliding Mode Observer
    Zheng, Wenhui
    Xia, Bizhong
    Wang, Wei
    Lai, Yongzhi
    Wang, Mingwang
    Wang, Huawen
    ENERGIES, 2019, 12 (13)
  • [7] State of Charge Estimation of Power Lithium-ion Battery Based on Sliding Mode Observer
    Wu Tie-zhou
    Wang Ming-yue
    Xiao Qin
    ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 : 1692 - +
  • [8] An Approach for SOC Estimation Based on Sliding Mode Observer and Fractional Order Equivalent Circuit Model of Lithium-Ion Batteries
    Zhong, Fuli
    Li, Hui
    Zhong, Qishui
    2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1497 - 1503
  • [9] State-of-Charge and State-of-Energy Estimation for Lithium-ion Batteries Using Sliding-Mode Observers
    Feng, Yong
    Bai, Fan
    Xue, Chen
    Han, Fengling
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 2382 - 2385
  • [10] Fuzzy Sliding Mode Observer with Grey Prediction for the Estimation of the State-of-Charge of a Lithium-Ion Battery
    Kim, Daehyun
    Goh, Taedong
    Park, Minjun
    Kim, Sang Woo
    ENERGIES, 2015, 8 (11) : 12409 - 12428
12345