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Modeling current-rate effects in lithium-ion batteries based on a distributed, multi-particle equivalent circuit model

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  • Rodríguez-Iturriaga, Pablo
  • Anseán, David
  • Rodríguez-Bolívar, Salvador
  • García, Víctor Manuel
  • González, Manuela
  • López-Villanueva, Juan Antonio

Abstract

Due to the wide range of operating conditions under which a lithium-ion battery operates, it is essential to develop models that are able to replicate experimental behavior in a variety of temperature and current-rate scenarios. However, there are some complex effects in the range of moderate to high current rates that are difficult to justify with current formulations of both equivalent circuit and electrochemical models, due to model shortcomings or a challenging parameterization process. For this reason, in this article we present a discretely distributed, multi-particle equivalent circuit model capable of addressing said limitations. By obtaining quasi-static characteristics from thermodynamic tests and making informed assumptions about particle size distributions, the model is only dependent on three parameters that are directly correlated to those determined from experimental impedance data. The proposed model is able to provide accurate results in a current range from C/10 to 2C (RMS≤12 mV at 40 °C) as well as dynamic operation (RMS≤7 mV at 40 °C), and ensures consistent behavior at ambient temperatures in the range from 10 °C to 40 °C. For all the reasons above, the proposed model constitutes a suitable alternative for modeling complex behavior in lithium-ion batteries with a reduced computational cost and a well-defined parameterization process.

Suggested Citation

  • Rodríguez-Iturriaga, Pablo & Anseán, David & Rodríguez-Bolívar, Salvador & García, Víctor Manuel & González, Manuela & López-Villanueva, Juan Antonio, 2024. "Modeling current-rate effects in lithium-ion batteries based on a distributed, multi-particle equivalent circuit model," Applied Energy, Elsevier, vol. 353(PA).
    • Handle: RePEc:eee:appene:v:353:y:2024:i:pa:s0306261923015052
    DOI: 10.1016/j.apenergy.2023.122141
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    1. Wang, Limei & Jin, Mengjie & Cai, Yingfeng & Lian, Yubo & Zhao, Xiuliang & Wang, Ruochen & Qiao, Sibing & Chen, Long & Yan, Xueqing, 2023. "Construction of electrochemical model for high C-rate conditions in lithium-ion battery based on experimental analogy method," Energy, Elsevier, vol. 279(C).
    2. Daniele Stampatori & Pier Paolo Raimondi & Michel Noussan, 2020. "Li-Ion Batteries: A Review of a Key Technology for Transport Decarbonization," Energies, MDPI, vol. 13(10), pages 1-23, May.
    3. Xuekun Lu & Antonio Bertei & Donal P. Finegan & Chun Tan & Sohrab R. Daemi & Julia S. Weaving & Kieran B. O’Regan & Thomas M. M. Heenan & Gareth Hinds & Emma Kendrick & Dan J. L. Brett & Paul R. Shear, 2020. "3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    4. Wang, Yujie & Tian, Jiaqiang & Sun, Zhendong & Wang, Li & Xu, Ruilong & Li, Mince & Chen, Zonghai, 2020. "A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    5. Jing Xie & Yi-Chun Lu, 2020. "A retrospective on lithium-ion batteries," Nature Communications, Nature, vol. 11(1), pages 1-4, December.
    6. Das, Utpal Kumar & Shrivastava, Prashant & Tey, Kok Soon & Bin Idris, Mohd Yamani Idna & Mekhilef, Saad & Jamei, Elmira & Seyedmahmoudian, Mehdi & Stojcevski, Alex, 2020. "Advancement of lithium-ion battery cells voltage equalization techniques: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Yang, Bowen & Wang, Dafang & Sun, Xu & Chen, Shiqin & Wang, Xingcheng, 2023. "Offline order recognition for state estimation of Lithium-ion battery using fractional order model," Applied Energy, Elsevier, vol. 341(C).
    8. Zubi, Ghassan & Dufo-López, Rodolfo & Carvalho, Monica & Pasaoglu, Guzay, 2018. "The lithium-ion battery: State of the art and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 292-308.
    9. Liu, Yang & Zhang, Caiping & Jiang, Jiuchun & Zhang, Linjing & Zhang, Weige & Lao, Li & Yang, Shichun, 2023. "A 3D distributed circuit-electrochemical model for the inner inhomogeneity of lithium-ion battery," Applied Energy, Elsevier, vol. 331(C).
    10. Gao, Yizhao & Zhu, Chong & Zhang, Xi & Guo, Bangjun, 2021. "Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system," Energy, Elsevier, vol. 221(C).
    11. Zhuo, Mingzhao & Kirkaldy, Niall & Maull, Tom & Engstrom, Timothy & Offer, Gregory & Marinescu, Monica, 2023. "Diffusion-aware voltage source: An equivalent circuit network to resolve lithium concentration gradients in active particles," Applied Energy, Elsevier, vol. 339(C).
    Full references (including those not matched with items on IDEAS)

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