A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
2021 · Applied Energy · 356 citations
https://doi.org/10.1016/j.apenergy.2021.117346
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Xin Sui
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Xin Sui is an academic researcher from Dongbei University of Finance and Economics. The author has contributed to research in topics: Advanced Battery Technologies Research & Advancements in Battery Materials & Neural Networks Stability and Synchronization. The author has an h-index of 30, co-authored 202 publications.
ORCID: 0000-0002-6180-469XPapers by this author
worksThermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
2023 · Progress in Energy and Combustion Science · 223 citations
https://doi.org/10.1016/j.pecs.2023.101120
Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection
2023 · Reliability Engineering & System Safety · 76 citations
https://doi.org/10.1016/j.ress.2023.109603
Boosting battery state of health estimation based on self-supervised learning
2023 · Journal of Energy Chemistry · 55 citations
https://doi.org/10.1016/j.jechem.2023.05.034
The sampled-data consensus of multi-agent systems with probabilistic time-varying delays and packet losses
2017 · Physica A Statistical Mechanics and its Applications · 20 citations
https://doi.org/10.1016/j.physa.2017.11.086
Finite-time anti-synchronization of time-varying delayed neural networks via feedback control with intermittent adjustment
2017 · Advances in Difference Equations · 13 citations
https://doi.org/10.1186/s13662-017-1264-5
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