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A Novel Optimal Charging Algorithm for Lithium-Ion Batteries Based on Model Predictive Control

Author

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  • Guan-Jhu Chen

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, Taiwan)

  • Yi-Hua Liu

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, Taiwan)

  • Yu-Shan Cheng

    (Department of Electrical Engineering, National Taiwan Ocean University, Zhongzheng District, Keelung 202301, Taiwan)

  • Hung-Yu Pai

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, Taiwan)

Abstract

Lithium-ion (Li-ion) batteries play a substantial role in portable consumer electronics, electric vehicles and large power energy storage systems. For Li-ion batteries, developing an optimal charging algorithm that simultaneously takes rises in charging time and charging temperature into account is essential. In this paper, a model predictive control-based charging algorithm is proposed. This study uses the Thevenin equivalent circuit battery and transforms it into the state-space equation to develop the model predictive controller. The usage of such models in the battery optimal control context has an edge due to its low computational cost, enabling the realization of the proposed technique using a low-cost Digital Signal Processor (DSP). Compared with the widely employed constant current-constant voltage charging method, the proposed charging technique can improve the charging time and the average temperature by 3.25% and 0.76%, respectively.

Suggested Citation

  • Guan-Jhu Chen & Yi-Hua Liu & Yu-Shan Cheng & Hung-Yu Pai, 2021. "A Novel Optimal Charging Algorithm for Lithium-Ion Batteries Based on Model Predictive Control," Energies, MDPI, vol. 14(8), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2238-:d:537624
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    References listed on IDEAS

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    1. Jingyu Yan & Guoqing Xu & Huihuan Qian & Yangsheng Xu & Zhibin Song, 2011. "Model Predictive Control-Based Fast Charging for Vehicular Batteries," Energies, MDPI, vol. 4(8), pages 1-19, August.
    2. Yin, Yilin & Choe, Song-Yul, 2020. "Actively temperature controlled health-aware fast charging method for lithium-ion battery using nonlinear model predictive control," Applied Energy, Elsevier, vol. 271(C).
    3. Kujundžić, Goran & Ileš, Šandor & Matuško, Jadranko & Vašak, Mario, 2017. "Optimal charging of valve-regulated lead-acid batteries based on model predictive control," Applied Energy, Elsevier, vol. 187(C), pages 189-202.
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    Cited by:

    1. Mustafa Gokdag, 2022. "Modulated Predictive Control to Improve the Steady-State Performance of NSI-Based Electrification Systems," Energies, MDPI, vol. 15(6), pages 1-19, March.

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