SOC estimation method based on lithium-ion cell model considering environmental factors

被引：3

作者：

Liu X. ^{[1
]}

Sun Z. ^{[1
]}

He Y. ^{[1
]}

Zheng X. ^{[1
]}

Zeng G. ^{[1
]}

机构：

[1] Clean Energy Automotive Research Institute, Hefei University of Technology, Hefei

来源：

| 2017年 / Southeast University卷 / 47期

关键词：

Extended Kalman filter; Power li-ion cell; State-of-charge; Temperature compensation; Thevenin model;

D O I：

10.3969/j.issn.1001-0505.2017.02.018

中图分类号：

学科分类号：

摘要：

The internal parameters of the cell at different temperatures and state-of-charge (SOC) were tested and calculated. The factors affecting the variations of parameters were analyzed. The Thevenin model of the lithium-ion cell with variable parameters was established. The gist of segmentation and the method for determining the correlation parameters of the model were discussed. The extended Kalman filter (EKF) algorithm was used to estimate SOC. An improved SOC estimation method which is based on the temperature was given. The proposed cell model can avoid the application limitation of the existing models without considering the influences of environmental factors. Simulation and experimental results show that the SOC estimation method based on the established model can achieve higher accuracy in a wide temperature range. © 2017, Editorial Department of Journal of Southeast University. All right reserved.

引用

页码：306 / 312

页数：6

共 20 条

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