SIA OpenIR  > 智能产线与系统研究室
Alternative TitleLi-ion battery SOC estimation and test research based on EKF
袁学庆; 张阳; 赵林; 李博
Source Publication电源技术
Volume39Issue:12Pages:2587-2589, 2615
Indexed ByCSCD
Contribution Rank1
KeywordSoc估计 扩展卡尔曼滤波 锂电池
Other AbstractLi-ion battery has been broadly used in industrial and commercial areas in recent years for its no leaks, no pollution and no noises. The currently used state of charge (SOC) estimation methods based on extended Kalman filter (EKF) doesn't have a very good accuracy due to the modeling error, which could influence the performance of the battery management system (BMS) and the control of the host machine. Considering about this, Randles model was adopted which has a good precision and exponential function and more orders of the polynomial were introduced to increase modeling precision. In the experiment, the standard deviation of the estimation error based on the improved model declined 64.43% comparing to the original model. The experiment result shows through improving the battery model the SOC estimation accuracy basing on EKF is improved greatly, which is significant for the performance of BMS and the host machine.
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
袁学庆,张阳,赵林,等. 基于EKF的锂电池SOC估算与试验研究[J]. 电源技术,2015,39(12):2587-2589, 2615.
APA 袁学庆,张阳,赵林,&李博.(2015).基于EKF的锂电池SOC估算与试验研究.电源技术,39(12),2587-2589, 2615.
MLA 袁学庆,et al."基于EKF的锂电池SOC估算与试验研究".电源技术 39.12(2015):2587-2589, 2615.
Files in This Item: Download All
File Name/Size DocType Version Access License
基于EKF的锂电池SOC估算与试验研究.(692KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[袁学庆]'s Articles
[张阳]'s Articles
[赵林]'s Articles
Baidu academic
Similar articles in Baidu academic
[袁学庆]'s Articles
[张阳]'s Articles
[赵林]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[袁学庆]'s Articles
[张阳]'s Articles
[赵林]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 基于EKF的锂电池SOC估算与试验研究.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.