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Analysis of the Charging and Discharging Process of LiFePO 4 Battery Pack

Author

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  • Wiesław Madej

    (Military Institute of Engineer Technology, Obornicka 136 Str., 50-961 Wrocław, Poland)

  • Andrzej Wojciechowski

    (Military Institute of Engineer Technology, Obornicka 136 Str., 50-961 Wrocław, Poland)

Abstract

A serious issue relative to the construction of electronic devices is proper power source selection. This problem is of particular importance when we are dealing with portable devices operating in varying environmental conditions, such as military equipment. A serious problem in the construction of electronic devices is the correct selection of the power source. In these types of devices, lithium-ion batteries are commonly used nowadays, and in particular their variety—lithium iron phosphate battery—LiFePO 4 . Apart from the many advantages of this type of battery offers, such as high power and energy density, a high number of charge and discharge cycles, and low self-discharge. They also have a major drawback—a risk of damage due to excessive discharge or overcharge. This article studies the process of charging and discharging a battery pack composed of cells with different initial charge levels. An attempt was made to determine the risk of damage to the cells relative to the differences in the initial charge level of the battery pack cells. It was verified, whether the successive charging and discharging cycles reduce or increase the differences in the amount of energy stored in individual cells of the pack.

Suggested Citation

  • Wiesław Madej & Andrzej Wojciechowski, 2021. "Analysis of the Charging and Discharging Process of LiFePO 4 Battery Pack," Energies, MDPI, vol. 14(13), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:4055-:d:588921
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    References listed on IDEAS

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    1. Dian Wang & Yun Bao & Jianjun Shi, 2017. "Online Lithium-Ion Battery Internal Resistance Measurement Application in State-of-Charge Estimation Using the Extended Kalman Filter," Energies, MDPI, vol. 10(9), pages 1-11, August.
    2. Zhongbao Wei & Feng Leng & Zhongjie He & Wenyu Zhang & Kaiyuan Li, 2018. "Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method," Energies, MDPI, vol. 11(7), pages 1-16, July.
    3. In-Ho Cho & Pyeong-Yeon Lee & Jong-Hoon Kim, 2019. "Analysis of the Effect of the Variable Charging Current Control Method on Cycle Life of Li-ion Batteries," Energies, MDPI, vol. 12(15), pages 1-11, August.
    4. Zhihao Yu & Ruituo Huai & Linjing Xiao, 2015. "State-of-Charge Estimation for Lithium-Ion Batteries Using a Kalman Filter Based on Local Linearization," Energies, MDPI, vol. 8(8), pages 1-20, July.
    5. Yun Bao & Wenbin Dong & Dian Wang, 2018. "Online Internal Resistance Measurement Application in Lithium Ion Battery Capacity and State of Charge Estimation," Energies, MDPI, vol. 11(5), pages 1-11, April.
    6. Ming-Hui Chang & Han-Pang Huang & Shu-Wei Chang, 2013. "A New State of Charge Estimation Method for LiFePO 4 Battery Packs Used in Robots," Energies, MDPI, vol. 6(4), pages 1-24, April.
    7. Xin Sui & Maciej Świerczyński & Remus Teodorescu & Daniel-Ioan Stroe, 2021. "The Degradation Behavior of LiFePO 4 /C Batteries during Long-Term Calendar Aging," Energies, MDPI, vol. 14(6), pages 1-21, March.
    8. Sung-Tae Ko & Jaehyung Lee & Jung-Hoon Ahn & Byoung Kuk Lee, 2019. "Innovative Modeling Approach for Li-Ion Battery Packs Considering Intrinsic Cell Unbalances and Packaging Elements," Energies, MDPI, vol. 12(3), pages 1-13, January.
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