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Cited by 532

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus

Hu, Xiaosong, Yuan, Hao, Zou, Changfu, Li, Zhe, Zhang, Lei·2018·IEEE Transactions on Vehicular Technology
DOI 10.1109/tvt.2018.2865664
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Abstract

Lithium-ion batteries have emerged as the state-of-the-art energy storage for portable electronics, electrified vehicles, and smart grids. An enabling Battery Management System holds the key for efficient and reliable system operation, in which State-of-Charge (SOC) estimation and State-of-Health (SOH) monitoring are of particular importance. In this paper, an SOC and SOH co-estimation scheme is proposed based on the fractional-order calculus. First, a fractional-order equivalent circuit model is established and parameterized using a Hybrid Genetic Algorithm/Particle Swarm Optimization method. This model is capable of predicting the voltage response with a root-mean-squared error less than 10 mV under various driving-cycle-based tests. Comparative studies show that it improves the modeling accuracy appreciably from its second- and third-order counterparts. Then, a dual fractional-order extended Kalman filter is put forward to realize simultaneous SOC and SOH estimation. Extensive experimental results show that the maximum steady-state errors of SOC and SOH estimation can be achieved within 1%, in the presence of initial deviation, noise, and disturbance. The resilience of the co-estimation scheme against battery aging is also verified through experimentation.

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Metadata

Authors
Hu, X., Yuan, H., Zou, C., Li, Z., & Zhang, L.
Venue
IEEE Transactions on Vehicular Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2018-11
Volume
67
Issue
11
Pages
10319-10329
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
DOI
10.1109/tvt.2018.2865664
OpenAlex
W2901900441
Cited by
532
References
42
FWCI
22.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus. https://app.cochat.ai/papers/10.1109/tvt.2018.2865664
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Hu, X., Yuan, H., Zou, C., Li, Z., & Zhang, L. (2018). Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2018.2865664

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