State-of-Charge Estimation of Super-capacitor Using Dual Extended Kalman filter

被引：0

作者：

Shen, Xun ^{[1
]}

Shen, Tielong ^{[1
,2
]}

Zha, Xiaoming ^{[1
]}

Hikiri, Kunihiko ^{[3
]}

机构：

[1] Wuhan Univ, Wuhan 430072, Peoples R China

[2] Sophia Univ, Tokyo 1028554, Japan

[3] UD Trucks Corp, Saitama, Japan

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Extended Kalman filter(EKF); Hybrid Electric Vehicle(HEV); State of Charge(SoC); Super-capacitor; BATTERY MANAGEMENT-SYSTEMS; PACKS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, dual extended Kalman filter is implemented to estimate SoC, internal resistance and capacitance of the super-capacitors applied in hybrid electric vehicles(HEVs) simultaneously based on its first-order equivalent circuit. Both simulation and experiment are carried out to verify the performance of the algorithm. Simulation results demonstrate that the algorithm reduces the estimate errors significantly made by sensor noise and experiment results prove that the estimations are able to converge to real value rapidly under poor initialization.

引用

页码：227 / 232

页数：6

共 19 条

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[12] Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 2. Modeling and identification [J].