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Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.114324
Abstract: As a typical complex system, the lithium-ion battery system is characterized by strong coupling and nonlinearity, which brings great challenges to its modeling, state estimation, and control. The modeling and state estimation especially the state-of-charge…
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Keywords:
state;
unscented particle;
particle filter;
filter ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108679
Abstract: Abstract To make up the deficiencies of single methods in lithium-ion battery state of health (SOH) and remaining useful life (RUL) estimation, this paper presents a novel hybrid method using unscented particle filter (UPF) with…
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Keywords:
unscented particle;
particle filter;
ion battery;
lithium ion ... See more keywords
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Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd70f
Abstract: The unscented particle filter (UPF) combines the advantages of both the unscented Kalman filter and particle filter (PF) algorithms. However, during the fusion of multi-source information for UAV integrated navigation, the UPF may encounter problems…
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Keywords:
unscented particle;
particle filter;
algorithm;
integrated navigation ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3122006
Abstract: Tight integration algorithms fusing Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) have become popular in many high-accuracy positioning and navigation applications. Despite their reliability, common integration architectures can still run into accuracy…
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Keywords:
unscented particle;
gnss;
particle filter;
navigation ... See more keywords