SOC estimation method based on IUPF algorithm and variable parameter battery model

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作者：
Intelligent Manufacturing Institute, Hefei University of Technology, Hefei [1 ]
230009, China
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来源：
Dongnan Daxue Xuebao | / 1卷 / 54-62期
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
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摘要：
Least squares methods - Measurement Noise - Particle filter - Scope of application - State of charge - Temperature range - Thevenin models - Variable parameters
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