The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
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“Prognostic predictions need to cope with uncertainties coming from the measurement, the operation environment and the model itself -these arise from the structure of the model and uncertain parameters [110].”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [110]
Citations
Cites
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Flagged first, then by citations
Research works printed but not linked: 2
- IEEE Std. 1188-2005 IEEE Recommended Practices for Maintenance, Testing and Replacement of Valve Regulated Lead-Acid (VRLA) Batteries in Stationary Applications.
- Pecht, 1995, Journal of the Institute of Environmental Sciences, 38, 30
Cited by
Sorted by citations
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.11.016 · Cited by 2,634
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Wang, B., Lei, Y., Li, N., & Li, N. (2018) · IEEE Transactions on Reliability · doi:10.1109/tr.2018.2882682 · Cited by 1,939
Zhang, Y., Xiong, R., He, H., & Pecht, M. G. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2805189 · Cited by 1,326
Self-citationHu, X., Xu, L., Lin, X., & Pecht, M. (2020) · Joule · doi:10.1016/j.joule.2019.11.018 · Cited by 1,320
Self-citationData-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Li, Y., Liu, K., Foley, A. M., Zülke, A., Berecibar, M., Nanini-Maury, E., Van Mierlo, J., & Hoster, H. E. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109254 · Cited by 1,193
Metadata
- Authors
- He, W., Williard, N., Osterman, M., & Pecht, M.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Pecht, Michael
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 196
- Issue
- 23
- Pages
- 10314-10321
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2078279667
- Cited by
- 1,105
- References
- 30
- Citations by year
- 2026: 138 · 2025: 140 · 2024: 126 · 2023: 132 · 2022: 90 · 2021: 76 · 2020: 73 · 2019: 61 · 2018: 61 · 2017: 54 · 2016: 42 · 2015: 37 · 2014: 29 · 2013: 29 · 2012: 16
- FWCI
- 49.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- lithium-ion batteries, battery prognostics, remaining useful life prediction, state of health estimation, Dempster-Shafer theory, Bayesian Monte Carlo, battery degradation modeling, model parameter updating
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