{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T08:50:18Z","timestamp":1772959818646,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Government","award":["PID2019-104793RB-C31"],"award-info":[{"award-number":["PID2019-104793RB-C31"]}]},{"name":"Spanish Government","award":["PID2021-124335OB-C21"],"award-info":[{"award-number":["PID2021-124335OB-C21"]}]},{"name":"Spanish Government","award":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"],"award-info":[{"award-number":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"]}]},{"name":"Spanish Government","award":["52236007"],"award-info":[{"award-number":["52236007"]}]},{"name":"Spanish Government","award":["52106176"],"award-info":[{"award-number":["52106176"]}]},{"DOI":"10.13039\/501100006541","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["PID2019-104793RB-C31"],"award-info":[{"award-number":["PID2019-104793RB-C31"]}],"id":[{"id":"10.13039\/501100006541","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006541","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["PID2021-124335OB-C21"],"award-info":[{"award-number":["PID2021-124335OB-C21"]}],"id":[{"id":"10.13039\/501100006541","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006541","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"],"award-info":[{"award-number":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"]}],"id":[{"id":"10.13039\/501100006541","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006541","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["52236007"],"award-info":[{"award-number":["52236007"]}],"id":[{"id":"10.13039\/501100006541","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006541","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["52106176"],"award-info":[{"award-number":["52106176"]}],"id":[{"id":"10.13039\/501100006541","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China","award":["PID2019-104793RB-C31"],"award-info":[{"award-number":["PID2019-104793RB-C31"]}]},{"name":"National Natural Science Foundation of China","award":["PID2021-124335OB-C21"],"award-info":[{"award-number":["PID2021-124335OB-C21"]}]},{"name":"National Natural Science Foundation of China","award":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"],"award-info":[{"award-number":["SEGVAUTO-4.0-CM (P2018\/EMT-4362)"]}]},{"name":"National Natural Science Foundation of China","award":["52236007"],"award-info":[{"award-number":["52236007"]}]},{"name":"National Natural Science Foundation of China","award":["52106176"],"award-info":[{"award-number":["52106176"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Unmanned aerial vehicles (UAVs) have drawin increasing attention in recent years, and they are widely applied. Nevertheless, they are generally limited by poor flight endurance because of the limited energy density of their batteries. A robust power supply is indispensable for advanced UAVs; thus hybrid power might be a promising solution. State of charge (SOC) estimation is essential for the power systems of UAVs. The limitations of accurate SOC estimation can be partly ascribed to the inaccuracy of open circuit voltage (OCV), which is obtained through specific forms of identification. Considering the actual operation of a battery under hybrid conditions, this paper proposes a novel method, \u201cfast OCV\u201d, for obtaining the OCVs of batteries. It is proven that fast OCV offers great advantages, related to its simplicity, duration and cost, over traditional ways of obtaining OCV. Moreover, fast-OCV also shows better accuracy in SOC estimation than traditional OCV. Furthermore, this paper also proposes a new method, \u201cbatch mode\u201d, for talking-data sampling for battery-parameter identification with the limited-memory recursive least-square algorithm. Compared with traditional the \u201csingle mode\u201d, it presents good de-noising effect by making use of all the sampled battery\u2019s terminal current and voltage data.<\/jats:p>","DOI":"10.3390\/s23146429","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T01:06:36Z","timestamp":1689555996000},"page":"6429","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters"],"prefix":"10.3390","volume":"23","author":[{"given":"Zhuoyao","family":"He","sequence":"first","affiliation":[{"name":"Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911 Madrid, Spain"},{"name":"Key Laboratory for Power machinery and Engineering of M.O.E., Shanghai Jiao Tong University, Dongchuan Road No. 800, Shanghai 200240, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3764-5083","authenticated-orcid":false,"given":"David","family":"Mart\u00edn G\u00f3mez","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2618-857X","authenticated-orcid":false,"given":"Arturo","family":"de la Escalera Hueso","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Flores Pe\u00f1a","sequence":"additional","affiliation":[{"name":"Drone Hopper S.L., Avenida Gregorio Peces-Barba, Legan\u00e9s, 28919 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingcai","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Laboratory for Power machinery and Engineering of M.O.E., Shanghai Jiao Tong University, Dongchuan Road No. 800, Shanghai 200240, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3353-9956","authenticated-orcid":false,"given":"Jos\u00e9 Mar\u00eda","family":"Armingol Moreno","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Av. 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