DOAJ Open Access 2021

SOC estimation of lithium battery based on extended Kalman filter algorithm

Cui Gengtao Jiang Weihua Tu Wei

Abstrak

In the battery management system, the accurate estimation of State of Charge(SOC) has an important position, its impor- tance is not only to the user prompt battery remaining power, more is that it is the basis of the battery charge and discharge management and balanced control management.And SOC is affected by many factors, such as temperature and current size,direction,etc,so it is difficult to predict it accurately.In this paper, an extended Kalman filter(EKF) algorithm is proposed to estimate the SOC of lithium battery.The battery model was established, and the parameter identification was carried out through the Hybrid Pulse Power Characteristic(HPPC) test.The SOC estimation error of the model is about 2.1% under constant discharge,it shows that the model is effective and easy to apply.

Topik & Kata Kunci

Electronics

Penulis (3)

Cui Gengtao

Jiang Weihua

Tu Wei

Format Sitasi

APA MLA BibTeX

Gengtao, C., Weihua, J., Wei, T. (2021). SOC estimation of lithium battery based on extended Kalman filter algorithm. https://doi.org/10.16157/j.issn.0258-7998.200607

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.16157/j.issn.0258-7998.200607
Akses: Open Access ✓