{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T17:36:09Z","timestamp":1783013769987,"version":"3.54.6"},"reference-count":42,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ICA"],"published-print":{"date-parts":[[2024,7,31]]},"abstract":"<jats:p>Unmanned aerial vehicles (UAVs) nowadays are getting soaring importance in many aspects like agricultural and military fields. A hybrid power system is a promising solution toward high energy density and power density demands for UAVs as it integrates power sources like internal combustion engine (ICE), fuel cell (FC) and lowcapacity lithium-polymer (LIPO) batteries. For robust energy management, accurate state-of-charge (SOC) estimation is indispensable, which necessitates open circuit voltage (OCV) determination and parameter identification of battery. The presented research demonstrates the feasibility of carrying out incremental OCV test and even dynamic stress test (DST) by making use of the hybrid powered UAV system itself. Based on battery relaxation terminal voltage as well as current wave excitation, novel methods for OCV determination and parameter identification are proposed. Results of SOC estimation against DST through adaptive unscented Kalman filter (AUKF) algorithm show that parameters and OCV identified with longer relaxation time don\u2019t yield better SOC estimation accuracy. Besides, it also discloses that OCV played the vital role in affecting SOC estimation accuracy. A detailed analysis is presented showing that mean discharging rate and current wave amplitude are the major factors which affect the quality of OCV identified related to SOC estimation accuracy.<\/jats:p>","DOI":"10.3233\/ica-240741","type":"journal-article","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T12:32:11Z","timestamp":1721133131000},"page":"341-362","source":"Crossref","is-referenced-by-count":7,"title":["Battery parameter identification for unmanned aerial vehicles with hybrid power system"],"prefix":"10.1177","volume":"31","author":[{"given":"Zhuoyao","family":"He","sequence":"first","affiliation":[{"name":"Intelligent Systems Lab (LSI), Department of Intelligent System and Automation, Universidad Carlos III de Madrid, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David Mart\u00edn","family":"G\u00f3mez","sequence":"additional","affiliation":[{"name":"Intelligent Systems Lab (LSI), Department of Intelligent System and Automation, Universidad Carlos III de Madrid, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pablo Flores","family":"Pe\u00f1a","sequence":"additional","affiliation":[{"name":"Drone-Hopper Company, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arturo de la Escalera","family":"Hueso","sequence":"additional","affiliation":[{"name":"Intelligent Systems Lab (LSI), Department of Intelligent System and Automation, Universidad Carlos III de Madrid, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingcai","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Lab. for Power Machinery and Engineering of M. 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SOC estimation of Lithium battery by UKF algorithm based on dynamic parameter model. 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE; 2016: 945-50.","DOI":"10.1109\/URAI.2016.7734116"},{"key":"10.3233\/ICA-240741_ref34","doi-asserted-by":"crossref","first-page":"136576","DOI":"10.1016\/j.electacta.2020.136576","article-title":"Improved parameters identification and state of charge estimation for lithium-ion battery with real-time optimal forgetting factor","volume":"353","author":"Ouyang","year":"2020","journal-title":"Electrochimica Acta."},{"issue":"4","key":"10.3233\/ICA-240741_ref35","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.cja.2020.07.017","article-title":"Review of hybrid electric powered aircraft, its conceptual design and energy management methodologies","volume":"34","author":"Ye","year":"2021","journal-title":"Chinese Journal of Aeronautics."},{"key":"10.3233\/ICA-240741_ref36","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.apenergy.2019.02.079","article-title":"Recent advances in fuel cells based propulsion systems for unmanned aerial vehicles","volume":"240","author":"Pan","year":"2019","journal-title":"Applied Energy."},{"issue":"4","key":"10.3233\/ICA-240741_ref37","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1109\/TIM.2003.814827","article-title":"Modeling of high power automotive batteries by the use of an automated test system","volume":"52","author":"Schweighofer","year":"2003","journal-title":"IEEE Transactions on Instrumentation and Measurement."},{"issue":"1","key":"10.3233\/ICA-240741_ref38","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.enconman.2007.05.017","article-title":"Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter","volume":"49","author":"Vasebi","year":"2008","journal-title":"Energy Conversion and Management."},{"issue":"441","key":"10.3233\/ICA-240741_ref39","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1049\/jiee-1.1933.0129","article-title":"A new theorem for active networks","volume":"73","author":"Starr","year":"1933","journal-title":"Journal of the institution of Electrical Engineers."},{"issue":"14","key":"10.3233\/ICA-240741_ref40","doi-asserted-by":"crossref","first-page":"6429","DOI":"10.3390\/s23146429","article-title":"Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters","volume":"23","author":"He","year":"2023","journal-title":"Sensors."},{"key":"10.3233\/ICA-240741_ref41","doi-asserted-by":"crossref","first-page":"101980","DOI":"10.1016\/j.est.2020.101980","article-title":"An improved adaptive unscented kalman filtering for state of charge online estimation of lithium-ion battery","volume":"32","author":"Zhang","year":"2020","journal-title":"Journal of Energy Storage."},{"key":"10.3233\/ICA-240741_ref42","doi-asserted-by":"crossref","unstructured":"He Z, G\u00f3mez DM, de la Escalera Hueso A, Lu X, Moreno JMA, Pe\u00f1a PF. Real-time battery SOC estimation under hybrid power conditions using fast-OCV curve with unscented Kalman filters. 2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace). IEEE; 2023: 31-6.","DOI":"10.1109\/MetroAeroSpace57412.2023.10189947"}],"container-title":["Integrated Computer-Aided Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/ICA-240741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:14:54Z","timestamp":1777454094000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/ICA-240741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,31]]},"references-count":42,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/ica-240741","relation":{},"ISSN":["1069-2509","1875-8835"],"issn-type":[{"value":"1069-2509","type":"print"},{"value":"1875-8835","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,31]]}}}