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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Jinhao Meng
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Jinhao Meng is an academic researcher from Northwest Institute of Nuclear Technology. The author has contributed to research in topics: Advanced Battery Technologies Research & Advancements in Battery Materials & Fault Detection and Control Systems. The author has an h-index of 47, co-authored 199 publications.
ORCID: 0000-0003-3490-5089Papers by this author
worksUnderstanding the mechanism of capacity increase during early cycling of commercial NMC/graphite lithium-ion batteries
2022 · Journal of Energy Chemistry · 166 citations
https://doi.org/10.1016/j.jechem.2022.07.005
Data-Driven Transfer-Stacking-Based State of Health Estimation for Lithium-Ion Batteries
2023 · IEEE Transactions on Industrial Electronics · 105 citations
https://doi.org/10.1109/tie.2023.3247735
State of health estimation with attentional long short-term memory network for lithium-ion batteries
2023 · Energy · 86 citations
https://doi.org/10.1016/j.energy.2023.126706
State-of-charge estimation of lithium-ion batteries based on MCC-AEKF in non-Gaussian noise environment
2023 · Energy · 57 citations
https://doi.org/10.1016/j.energy.2023.127316
Screening of retired batteries with gramian angular difference fields and ConvNeXt
2023 · Engineering Applications of Artificial Intelligence · 53 citations
https://doi.org/10.1016/j.engappai.2023.106397
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