Model-based distinction and quantification of capacity loss and rate capability fade in Li-ion batteries

被引:122
|
作者
Schmidt, Alexander P. [1 ]
Bitzer, Matthias [2 ]
Imnre, Arpad W. [1 ]
Guzzella, Lino [3 ]
机构
[1] Robert Bosch GmbH, Corp Res, Elect Vehicle Syst & Components, D-71701 Schwieberdingen, Germany
[2] Robert Bosch GmbH, Corp Res, Control Theory, D-71701 Schwieberdingen, Germany
[3] Swiss Fed Inst Technol, IDSC, CH-8092 Zurich, Switzerland
关键词
Electrochemical battery modeling; SOH estimation; Online parameter estimation; Solid-electrolyte interface; Electrolyte dissociation; MATHEMATICAL-MODEL; STRESS GENERATION; AGING MECHANISMS; FRACTURE; CELLS;
D O I
10.1016/j.jpowsour.2010.06.011
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
This work is focused on an easy-to-handle approach for estimating the residue power and capacity of a lithium-ion cell during operation. For this purpose, an earlier presented lumped parameter electrochemical battery model is employed. By means of the parameters accounting for the cathode capacity and the electrolyte conductivity, the cell degradation is successfully reproduced. Moreover, the method enables the distinction of capacity fade due to impedance rise and due to active material loss. High discharge rates together with the correlated self-heating of the cell enable a model-based quantification of SEI and electrolyte contributions to the overpotential. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:7634 / 7638
页数:5
相关论文
共 50 条
  • [31] Evaluation of Accuracy for Automated Method of Predicting Capacity Loss in Li-Ion Batteries
    Pena, Wyatt
    Hunt, Clay
    Curti, Christopher
    Gering, Kevin L.
    2024 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT, ICPHM 2024, 2024, : 223 - 230
  • [32] Effects of graphite particle size on irreversible capacity loss for Li-ion batteries
    Zaghib, K
    Nadeau, G
    Kinoshita, K
    ELECTROCHEMISTRY OF CARBON MATERIALS, 2004, 2000 (34): : 145 - 161
  • [33] Voltage loss in Li-ion batteries explained
    Jacoby, Mitch
    CHEMICAL & ENGINEERING NEWS, 2018, 96 (01) : 5 - 5
  • [34] Studies on capacity loss and capacity fading of nanosized SnSb alloy anode for Li-ion batteries
    Li, H
    Shi, LH
    Lu, W
    Huang, XJ
    Chen, LQ
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2001, 148 (08) : A915 - A922
  • [35] Capacity Fade Modeling of Li-Ion Battery using Evolutionary Algorithm
    Tamilselvi, S.
    Karuppiah, N.
    Reddy, Rajagopal B.
    1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND FUTURE ELECTRIC TRANSPORTATION (SEFET 2019), 2019, 87
  • [36] Cyclic Capacity Fade Plots for aging studies of Li-ion cells
    Joglekar, M. M.
    Ramakrishnan, N.
    JOURNAL OF POWER SOURCES, 2013, 230 : 143 - 147
  • [37] Model-based thermal fault detection in Li-ion batteries using a set-based approach
    Saccani, Giacomo
    Locatelli, Diego
    Tottoli, Angelo
    Raimondo, Davide M.
    IFAC PAPERSONLINE, 2022, 55 (06): : 329 - 334
  • [38] Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications
    Ahmed, Ryan
    Gazzarri, Javier
    Onori, Simona
    Habibi, Saeid
    Jackey, Robyn
    Rzemien, Kevin
    Tjong, Jimi
    LeSage, Jonathan
    SAE INTERNATIONAL JOURNAL OF ALTERNATIVE POWERTRAINS, 2015, 4 (02) : 233 - 247
  • [39] Remaining capacity prediction of Li-ion batteries based on ultrasonic signals
    Cai, Zhiduan
    Jiang, Haoye
    Pan, Tianle
    Qin, Chenwei
    Xu, Jingyun
    Wang, Yulong
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2024, 47 (02) : 215 - 225
  • [40] One Law to Rule Them All: Stretched Exponential Master Curve of Capacity Fade for Li-Ion Batteries
    Cuervo-Reyes, Eduardo
    Fluckiger, Reto
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2019, 166 (08) : A1463 - A1470