Study on State of Health Estimation Algorithm for Lithium Power Battery Used on Pure Electric Vehicle

Hong Wei Liu; Wen Jing Xu; Chong Guo

doi:10.4028/www.scientific.net/AMR.608-609.1577

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 608-609Study on State of Health Estimation Algorithm for...

Study on State of Health Estimation Algorithm for Lithium Power Battery Used on Pure Electric Vehicle

Abstract:

With the continuous development of pure electric vehicles, lithium-ion battery is getting more attention. The SOH is characterized by the capacity of battery charging and discharging, so to meet the national regulations, it is necessary to detect it. This article focuses on estimating the current SOH of the battery based on voltage characterization when charging, and realizes real-time detection of health status in remote monitoring system.

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Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

1577-1581

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.608-609.1577

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Online since:

December 2012

Authors:

Hong Wei Liu*, Wen Jing Xu, Chong Guo

Keywords:

Adaptive, Lithium Iron Phosphate Battery, Remote Monitoring System, SOH

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* - Corresponding Author

References

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