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Article

Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries

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Department of Digital Media Technology, Faculty of Computers and Information Technology, Future University in Egypt, Cairo 11835, Egypt
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Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, FI-00076 Espoo, Finland
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Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
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Department of Electrical Engineering, Shoubra Faculty of Engineering, Benha University, Cairo 11629, Egypt
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Chemistry–School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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Centre for Energy, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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Electrical Power and Control Department, Pyramids Higher Institute for Engineering and Technology, Giza 12451, Egypt
*
Author to whom correspondence should be addressed.
Academic Editor: Timon Rabczuk
Appl. Sci. 2021, 11(8), 3609; https://doi.org/10.3390/app11083609
Received: 9 March 2021 / Revised: 8 April 2021 / Accepted: 13 April 2021 / Published: 16 April 2021
(This article belongs to the Section Energy Science and Technology)
Batteries are everywhere, in all forms of transportation, electronics, and constitute a method to store clean energy. Among the diverse types available, the lithium-iron-phosphate (LiFePO4) battery stands out for its common usage in many applications. For the battery’s safe operation, the state of charge (SOC) and state of health (SOH) estimations are essential. Therefore, a reliable and robust observer is proposed in this paper which could estimate the SOC and SOH of LiFePO4 batteries simultaneously with high accuracy rates. For this purpose, a battery model was developed by establishing an equivalent-circuit model with the ambient temperature and the current as inputs, while the measured output was adopted to be the voltage where current and terminal voltage sensors are utilized. Another vital contribution is formulating a comprehensive model that combines three parts: a thermal model, an electrical model, and an aging model. To ensure high accuracy rates of the proposed observer, we adopt the use of the dual extend Kalman filter (DEKF) for the SOC and SOH estimation of LiFePO4 batteries. To test the effectiveness of the proposed observer, various simulations and test cases were performed where the construction of the battery system and the simulation were done using MATLAB. The findings confirm that the best observer was a voltage-temperature (VT) observer, which could observe SOC accurately with great robustness, while an open-loop observer was used to observe the SOH. Furthermore, the robustness of the designed observer was proved by simulating ill-conditions that involve wrong initial estimates and wrong model parameters. The results demonstrate the reliability and robustness of the proposed observer for simultaneously estimating the SOC and SOH of LiFePO4 batteries. View Full-Text
Keywords: lithium-iron-phosphate battery; batteries modeling; state of charge (SOC); dual extend Kalman filter (DEKF); state of health (SOH) lithium-iron-phosphate battery; batteries modeling; state of charge (SOC); dual extend Kalman filter (DEKF); state of health (SOH)
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MDPI and ACS Style

Al-Gabalawy, M.; Mahmoud, K.; Darwish, M.M.F.; Dawson, J.A.; Lehtonen, M.; Hosny, N.S. Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries. Appl. Sci. 2021, 11, 3609. https://doi.org/10.3390/app11083609

AMA Style

Al-Gabalawy M, Mahmoud K, Darwish MMF, Dawson JA, Lehtonen M, Hosny NS. Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries. Applied Sciences. 2021; 11(8):3609. https://doi.org/10.3390/app11083609

Chicago/Turabian Style

Al-Gabalawy, Mostafa, Karar Mahmoud, Mohamed M.F. Darwish, James A. Dawson, Matti Lehtonen, and Nesreen S. Hosny. 2021. "Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries" Applied Sciences 11, no. 8: 3609. https://doi.org/10.3390/app11083609

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