Study on SOC estimation of power battery based on Kalman filter optimization algorithm

被引：0
|
作者：
School of Automation, Harbin University of Science and Technology, Harbin, China [1 ]
机构：
来源：
Int. J. Hybrid Inf. Technol. | / 7卷 / 199-206期
关键词：
Compendex;
D O I：
10.14257/ijhit.2015.8.7.18
中图分类号：
学科分类号：
摘要：
Battery management systems
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