{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:19:44Z","timestamp":1781374784391,"version":"3.54.1"},"reference-count":52,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"PROINVENT","award":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"],"award-info":[{"award-number":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"]}]},{"name":"The Vasile Alecsandri University of Bacau","award":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"],"award-info":[{"award-number":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"]}]},{"name":"The Human Capital Operational Programme 2014\u20132020 (POCU) Romania","award":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"],"award-info":[{"award-number":["62487\/03.06.2022\u2014POCU\/993\/6\/13\u2014Code 153299"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>Over the past decade, Unmanned Aerial Vehicles (UAVs) have begun to be increasingly used due to their untapped potential. Li-ion batteries are the most used to power electrically operated UAVs for their advantages, such as high energy density and the high number of operating cycles. Therefore, it is necessary to estimate the Remaining Useful Life (RUL) and the prediction of the Li-ion batteries\u2019 capacity to prevent the UAVs\u2019 loss of autonomy, which can cause accidents or material losses. In this paper, the authors propose a method of prediction of the RUL for Li-ion batteries using a data-driven approach. To maximize the performance of the process, the performance of three machine learning models, Support Vector Machine for Regression (SVMR), Multiple Linear Regression (MLR), and Random Forest (RF), were compared to estimate the RUL of Li-ion batteries. The method can be implemented within UAVs\u2019 Predictive Maintenance (PdM) systems.<\/jats:p>","DOI":"10.3390\/computers13030064","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T05:59:19Z","timestamp":1709186359000},"page":"64","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Predicting the RUL of Li-Ion Batteries in UAVs Using Machine Learning Techniques"],"prefix":"10.3390","volume":"13","author":[{"given":"Dragos","family":"Andrioaia","sequence":"first","affiliation":[{"name":"Department of Computers, Stefan cel Mare University of Suceava, 720229 Suceava, Romania"},{"name":"Department of Power Engineering and Computer Science, \u201cVasile Alecsandri\u201d University of Bac\u0103u, 600115 Bacau, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasile","family":"Gaitan","sequence":"additional","affiliation":[{"name":"Department of Computers, Stefan cel Mare University of Suceava, 720229 Suceava, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Culea","sequence":"additional","affiliation":[{"name":"Department of Power Engineering and Computer Science, \u201cVasile Alecsandri\u201d University of Bac\u0103u, 600115 Bacau, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7722-8017","authenticated-orcid":false,"given":"Ioan","family":"Banu","sequence":"additional","affiliation":[{"name":"Department of Power Engineering and Computer Science, \u201cVasile Alecsandri\u201d University of Bac\u0103u, 600115 Bacau, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"119530","DOI":"10.1016\/j.energy.2020.119530","article-title":"A novel data-driven method for predicting the circulating capacity of lithium-ion battery under random variable current","volume":"218","author":"Xu","year":"2021","journal-title":"Energy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"120684","DOI":"10.1016\/j.energy.2021.120684","article-title":"A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries","volume":"229","author":"Wei","year":"2021","journal-title":"Energy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.neucom.2022.11.091","article-title":"Persistent coverage of UAVs based on deep reinforcement learning with wonderful life utility","volume":"521","author":"Sun","year":"2023","journal-title":"Neurocomputing"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.comcom.2022.06.017","article-title":"Deep reinforcement learning-based joint task and energy offloading in UAV-aided 6G intelligent edge networks","volume":"192","author":"Cheng","year":"2022","journal-title":"Comput. 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