Robust State of Charge estimation for Li-ion batteries based on Extended State Observers

被引：25

作者：

Sandoval-Chileno, Marco A. ^{[1
]}

Castaneda, Luis A. ^{[2
]}

Luviano-Juarez, Alberto ^{[1
]}

Gutierrez-Frias, Octavio ^{[1
]}

Vazquez-Arenas, Jorge ^{[2
]}

机构：

[1] Inst Politecn Nacl UPIITA, Av IPN 2580 Col Barrio Laguna Ticoman, Ciudad De Mexico, Mexico

[2] Univ Autonoma Metropolitana Iztapalapa, Conacyt, Dept Quim, Av San Rafael Atlixco 186, Cdmx 09340, Mexico

来源：

JOURNAL OF ENERGY STORAGE | 2020年 / 31卷

关键词：

Li-ion battery; State of Charge; LiNiMnCoO2; Extended State Observers; OF-CHARGE; DISTURBANCE REJECTION; MANAGEMENT-SYSTEMS; NEURAL-NETWORKS; MODEL; PACKS;

D O I：

10.1016/j.est.2020.101718

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This article proposes a novel State of Charge estimation approach for Li-Ion batteries, using Extended State Observers of Generalized Proportional Integral type. The nonlinear relationship established between the Open Circuit Voltage and the nominal state of Charge is simulated via a set of interpolating polynomials, providing a more accurate description, meaningfully improving the classic piecewise linearization results, particularly at low state of charge conditions (0 to 0.1). The proposed method is experimentally tested in a 20 [Ah] LiNiMnCoO2 battery at different discharge C-rates and noise presence. Likewise, the estimator is compared against a sliding mode estimation scheme and an Extended Kalman Filter, showing competitive results as found by an integral error based performance index measurement with a reduction of up to 35%.

引用

页数：12

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