Porous Electrode Modeling and its Applications to Li-Ion Batteries

被引:89
|
作者
Chen, Zhiqiang [1 ,2 ]
Danilov, Dmitri L. [1 ,2 ]
Eichel, Ruediger-A [2 ,3 ]
Notten, Peter H. L. [1 ,2 ,4 ]
机构
[1] Eindhoven Univ Technol, NL-5600 MB Eindhoven, Netherlands
[2] Forschungszentrum Julich, Fundamental Electrochem IEK 9, D-52425 Julich, Germany
[3] Rhein Westfal TH Aachen, D-52074 Aachen, Germany
[4] Univ Technol Sydney, Sydney, NSW 2007, Australia
关键词
Li-ion battery; performance modeling; porous electrode model; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; SINGLE-PARTICLE MODEL; EMPLOYING GRAPHITE NEGATIVES; INTERNAL SHORT-CIRCUIT; SOLID-PHASE DIFFUSION; REDUCED-ORDER MODEL; LITHIUM-ION; MECHANICAL DEGRADATION; THERMAL-MODEL; HEAT-GENERATION;
D O I
10.1002/aenm.202201506
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
Battery modeling has become increasingly important with the intensive development of Li-ion batteries (LIBs). The porous electrode model, relating battery performances to the internal physical and (electro)chemical processes, is one of the most adopted models in scientific research and engineering fields. Since Newman and coworkers' first implementation in the 1990s, the porous electrode model has kept its general form. Soon after that, many publications have focused on the applications to LIBs. In this review, the applications of the porous electrode model to LIBs are systematically summarized and discussed. With this model, various internal battery properties have been studied, such as Li+ concentration and electric potential in the electrolyte and electrodes, reaction rate distribution, overpotential, and impedance. When coupled with thermal, mechanical, and aging models, the porous electrode model can simulate the temperature and stress distribution inside batteries and predict degradation during battery operation. With the help of state observers, the porous electrode model can monitor various battery states in real-time for battery management systems. Even though the porous electrode models have multiple advantages, some challenges and limitations still have to be addressed. The present review also gives suggestions to overcome these limitations in future research.
引用
收藏
页数:39
相关论文
共 50 条
  • [1] Li-Ion Batteries and Li-Ion Ultracapacitors: Characteristics, Modeling and Grid Applications
    Hamidi, Seyed Ahmad
    Manla, Emad
    Nasiri, Adel
    2015 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2015, : 4973 - 4979
  • [2] Computational modeling of Li-ion batteries
    D. Grazioli
    M. Magri
    A. Salvadori
    Computational Mechanics, 2016, 58 : 889 - 909
  • [3] Hysteresis Modeling in Li-Ion Batteries
    Baronti, Federico
    Femia, Nicola
    Saletti, Roberto
    Visone, Ciro
    Zamboni, Walter
    IEEE TRANSACTIONS ON MAGNETICS, 2014, 50 (11)
  • [4] Li-ion batteries for space applications
    Isaacson, MJ
    Daman, ME
    Hollandsworth, RP
    IECEC-97 - PROCEEDINGS OF THE THIRTY-SECOND INTERSOCIETY ENERGY CONVERSION ENGINEERING CONFERENCE, VOLS 1-4: VOL.1: AEROSPACE POWER SYSTEMS AND TECHNOL; VOL 2: ELECTROCHEMICAL TECHNOL, CONVERSION TECHNOL, THERMAL MANAGEMENT; VOLS 3: ENERGY SYSTEMS, RENEWABLE ENERGY RESOURCES, ENVIRONMENTAL IMPACT, POLICY IMPACTS ON ENERGY; VOL 4: POST DEADLINE PAPERS, INDEX, 1997, : 31 - 34
  • [5] Computational modeling of Li-ion batteries
    Grazioli, D.
    Magri, M.
    Salvadori, A.
    COMPUTATIONAL MECHANICS, 2016, 58 (06) : 889 - 909
  • [6] Hyperbranched Polyphenylene as an Electrode for Li-Ion Batteries
    Lobo, Laurel Simon
    Matsumoto, Kazuya
    Jikei, Mitsutoshi
    Ikeda, Shun
    Okawa, Hirokazu
    ENERGY TECHNOLOGY, 2021, 9 (10)
  • [7] Chalcogels as electrode materials for Li-ion batteries
    Doan-Nguyen, Vicky V. T.
    Subrahmanyam, Kota S.
    Butala, Megan M.
    Gerbec, Jeffrey A.
    Islam, Saiful M.
    Kanipe, Katherine N.
    Wilson, Catrina E.
    Balasubramanian, Mahalingam
    Wiaderek, Kamila M.
    Borkiewicz, Olaf J.
    Chapman, Karena W.
    Chupas, Peter J.
    Moskovits, Martin
    Dunn, Bruce S.
    Kanatzidis, Mercouri G.
    Seshadri, Ram
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2017, 73 : A123 - A124
  • [8] Overpotential analysis of graphite-based Li-ion batteries seen from a porous electrode modeling perspective
    Chen, Zhiqiang
    Danilov, Dmitri L.
    Raijmakers, Luc H. J.
    Chayambuka, Kudakwashe
    Jiang, Ming
    Zhou, Lei
    Zhou, Jiang
    Eichel, Rudiger-A.
    Notten, Peter H. L.
    JOURNAL OF POWER SOURCES, 2021, 509
  • [9] Positive Electrode Materials for Li-Ion and Li-Batteries
    Ellis, Brian L.
    Lee, Kyu Tae
    Nazar, Linda F.
    CHEMISTRY OF MATERIALS, 2010, 22 (03) : 691 - 714
  • [10] Determination and Engineering of Li-Ion Tortuosity in Electrode Toward High Performance of Li-Ion Batteries
    Yan, Ziwen
    Wang, Li
    Zhang, Hao
    He, Xiangming
    ADVANCED ENERGY MATERIALS, 2024, 14 (31)