State of charge estimation of lithium-ion batteries based on KF-SRUKF algorithm

被引：0
|
作者：
Xue, Jingyuan [1 ]
机构：
[1] Univ Ghent, B-9000 Ghent, Belgium
来源：
PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024 | 2024年
关键词：
lithium-ion batteries; SOC estimation accuracy; SRUKF algorithm;
D O I：
10.1145/3674225.3674240
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article first establishes a second-order RC equivalent circuit model, uses the double loop recursive least squares method for model parameter identification, and then estimates the state of charge based on this algorithm. CCS software is an integrated development environment released by TI company for programming TMS320 series DSP chips, supporting C language programming. The algorithm was validated using battery measurement equipment and specialized software on a battery testing platform, and the results showed that the proposed improved algorithm effectively reduced computational complexity while improving SOC estimation accuracy.
引用
收藏
页码：76 / 82
页数：7
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