The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
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In the citing paper
“However, those models are all developed with the charging and discharging curve as input.”
From Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020) · cites this paper as [34]
In the citing paper
“Although GPR has been used in the literature in the context of Li-ion batteries17,33,34, we depart from those pioneering works by employing impedance spectra as input, as well employing ARD to shed light on salient frequencies.”
From Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020) · cites this paper as [34]
In the citing paper
“Processed external features are normally extracted from differential charging curves under constant current rate, such as IC/DV curves [77,78] and voltage gradient curves (dV/dt) [79,80].”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [80]
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Self-citation
Metadata
- Authors
- Yang, D., Zhang, X., Pan, R., Wang, Y., & Chen, Z.
- Affiliations
- University of Science and Technology of China (CN)
- Corresponding author
- Chen, Zonghai
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 384
- Pages
- 387-395
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2793702125
- Cited by
- 765
- References
- 33
- Citations by year
- 2026: 65 · 2025: 101 · 2024: 124 · 2023: 144 · 2022: 116 · 2021: 98 · 2020: 71 · 2019: 35 · 2018: 11
- FWCI
- 28.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- Funders
- National Natural Science Fund of China (61375079)
- CPSF-CAS Joint Foundation for Excellent Postdoctoral Fellow (2017LH007)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- state of health estimation, lithium-ion batteries, Gaussian process regression, charging curves, battery degradation, grey relational analysis
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