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Estimating Contrast of State of Health for Lithium-Ion Battery Based on Accumulated Residual Energy

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The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 743))

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Abstract

With the widespread use of electric vehicles, the deficiencies of battery management systems have gradually emerged, among which the short driving range as well as the short service life were prominent issues in electric vehicles. Taking 2.75 A 18,650 NCM material lithium-ion battery as the research object, cycle test based on the full range of state of charge (SOC). It mainly proposes to use the available energy parameters of the battery to characterize the health of the battery, as the number of battery cycles increases, the available energy of the battery decreases. A new definition method to characterize SOHE with the available energy of the battery and SOHER with the accumulated residual energy is proposed. The SOHER is estimated and analyzed by analyzing the relationship between the accumulated residual energy of the battery and the number of use cycles. Under the premise of knowing only part of the data, a new improved similar triangle method is designed through comparative analysis which is used to effectively control the error within 0.13 to get the relationship between SOHER and energy.

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Acknowledgements

I sincerely thank my tutor, Bingxiang Sun, for giving me a lot of care and help, both in scientific research and in life. During laboratory work and paper writing, I also got help from senior students. I would like to express my heartfelt thanks to them again.

This work is supported by the ‘National Key R&D Program of China’ (Grant NO.: 2018YFB0104400) and the National Natural Science Foundation of China (Grant No. 51907005).

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Correspondence to Bingxiang Sun .

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Sun, B., Chen, Y., Ma, S., Cui, Z., Wang, Z. (2021). Estimating Contrast of State of Health for Lithium-Ion Battery Based on Accumulated Residual Energy. In: Chen, W., Yang, Q., Wang, L., Liu, D., Han, X., Meng, G. (eds) The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering. Lecture Notes in Electrical Engineering, vol 743. Springer, Singapore. https://doi.org/10.1007/978-981-33-6609-1_8

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  • DOI: https://doi.org/10.1007/978-981-33-6609-1_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6608-4

  • Online ISBN: 978-981-33-6609-1

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