Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers.
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| Title: | Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. |
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| Authors: | Parimala CHH; Department of EEE Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, 522302, A.P, India., Varma PS; Department of EEE Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, 522302, A.P, India., Kumar RS; Research and Development Mangement, Central Power Research Institute Bangalore, Bangalore, 560080, India., Singh AR; Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hanjiang, China., Mohapatra B; Department of Electrical Engineering, ITER, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751030, Odisha, India., Addis HK; Amhara Agricultural Research Institute, Soil and Water Management Research Directorate, Bahir Dar, PO Box. 527, Ethiopia. hailu.kendie@arari.gov.et. |
| Source: | Scientific reports [Sci Rep] 2026 Jan 17; Vol. 16 (1), pp. 2452. Date of Electronic Publication: 2026 Jan 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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