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A Study on State of Charge and State of Health Estimation in Consideration of Lithium-Ion Battery Aging

Author

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  • Woongchul Choi

    (Department of Automotive Engineering, Kookmin University, Seoul 02707, Korea)

Abstract

Due to rapid development of industries around the world, more and more consumption of fossil fuels was unavoidable, resulting in serious environmental problems. The many pollutant emissions—a major contributor to global warming and weather pattern change—have been at the center of concern. In order to solve this issue, research and development of electric vehicles and energy storage systems made great progress and successfully introduced products in the market. Nevertheless, accurate measurement of the state of charge (SOC) and state of health (SOH) of the Li-ion battery, the most popular electric energy storage device, has not yet been fully understood due to the nature of battery aging. In this study, ideas to estimate the capacity and ultimately SOC and SOH of Li-ion batteries are discussed. With these ideas, we expect not only to accommodate the issues with battery aging but also to implement an algorithm for an on-board battery management system. The key idea is to chase and monitor internal resistance continuously in a fast and reliable manner in real time. With further investigation of the key idea, we also fully expect to come up with a reliable SOC and SOH measurement scheme in the near future.

Suggested Citation

  • Woongchul Choi, 2020. "A Study on State of Charge and State of Health Estimation in Consideration of Lithium-Ion Battery Aging," Sustainability, MDPI, vol. 12(24), pages 1-11, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10451-:d:461931
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    Citations

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    Cited by:

    1. Michael Neidhardt & Jordi Mas-Peiro & Antonia Schneck & Josep O. Pou & Rafael Gonzalez-Olmos & Arno Kwade & Benedikt Schmuelling, 2022. "Automotive Electrification Challenges Shown by Real-World Driving Data and Lifecycle Assessment," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    2. Jie Xing & Peng Wu, 2021. "State of Charge Estimation of Lithium-Ion Battery Based on Improved Adaptive Unscented Kalman Filter," Sustainability, MDPI, vol. 13(9), pages 1-16, April.

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