Accurate Thevenin's Circuit-based Battery Model Parameter Identificaiton

被引：0

作者：

Huang, Cong-Sheng ^{[1
]}

Chow, Mo-Yuen ^{[1
]}

机构：

[1] North Carolina State Univ, Elect & Comp Engn, Raleigh, NC 27695 USA

来源：

PROCEEDINGS 2016 IEEE 25TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2016年

关键词：

Thevenin's circuit model; parameter identification; linear regression; condition number; OF-CHARGE ESTIMATION; LITHIUM-ION BATTERIES; STATE; BEHAVIOR; HYBRID;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Batteries are becoming the main energy storage devices in following decades. Highly accurate battery models are needed to fulfill accurate controlling and monitoring purpose. For real-time operations, the calculation complexity of the battery model is an issue. Thevenin's circuit model is a tradeoff between fast calculation and accuracy. The model uses resistor and RC pairs to capture the dynamic of terminal voltage. Even though there are few components in the model, to accurately identify those components value is a difficult question. In this paper, an algorithm to separate effective data and ineffective data is proposed by comparing the condition number. This algorithm can help identify correct parameters for future model-based battery monitoring and controlling.

引用

页码：274 / 279

页数：6

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