Battery State Estimation Using Unscented Kalman Filter

被引：0

作者：

Zhang, Fei ^{[1
]}

Liu, Guangjun ^{[2
]}

Fang, Lijin ^{[1
]}

机构：

[1] Chinese Acad Sci, State Key Lab Robot, Shenyang Inst Automat, Shenyang 110016, Peoples R China

[2] Ryerson Univ, Dept Aerosp Engn, Toronto, ON M5B 2K3, Canada

来源：

ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7 | 2009年

基金：

国家高技术研究发展计划(863计划);

关键词：

LEAD-ACID-BATTERIES; PREDICTING STATE; OF-CHARGE; HEALTH;

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：

Online evaluation of battery State of Function (SOF) is crucial for battery management systems of autonomous mobile robots. Battery State of Charge (SOC) represents its remaining energy available, whereas internal resistance and capacity reflect its State of Health (SOH). In this paper, an improved equivalent circuit model is proposed to estimate SOC, internal resistance and capacity using an Unscented Kalman Filter (UKF). The proposed method not only estimates SOC, but also evaluates SOH and SOF. Experimental results have shown the effectiveness of the proposed method using resistive loads and a robot prototype for inspecting power transmission line.

引用

页码：3574 / +

页数：2

共 50 条

[31] State Estimation of Vehicle's Lateral Dynamics using Unscented Kalman Filter
Wielitzka, Mark
Dagen, Matthias
Ortmaier, Tobias
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 5015 - 5020
[32] VISION-BASED RELATIVE STATE ESTIMATION USING THE UNSCENTED KALMAN FILTER
Lee, Daero
Pernicka, Henry
SPACEFLIGHT MECHANICS 2009, VOL 134, PTS I-III, 2009, 134 : 1005 - 1026
[33] Lithium Battery SOC Estimation Based on Improved Unscented Kalman Filter
Hu, Jieyu
Wu, Songrong
Wang, YiYang
Lu, Fan
Liu, Dong
PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 511 - 515
[34] Battery State of Charge Estimation Using Extended Kalman Filter
Lopes da Costa, Sonia Carina
Araujo, Armando Sousa
Carvalho, Adrian da Silva
2016 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), 2016, : 1085 - 1092
[35] The lithium battery SOC estimation on square root unscented Kalman filter
Liu, Qinghe
Yu, Quanqing
ENERGY REPORTS, 2022, 8 : 286 - 294
[36] Temperature dependent state-of-charge estimation of lithium ion battery using dual spherical unscented Kalman filter
Aung, Htet
Low, Kay Soon
IET POWER ELECTRONICS, 2015, 8 (10) : 2026 - 2033
[37] Wheelset states estimation using unscented Kalman filter
Yang, Z.
Lu, Z. G.
Wang, X. C.
Huang, Q.
DYNAMICS OF VEHICLES ON ROADS AND TRACKS, VOL 2, 2018, : 1071 - 1076
[38] State-of-Charge Estimation for Lithium-ion Battery using Busse's Adaptive Unscented Kalman Filter
Yao, Low Wen
Aziz, J. A.
Idris, N. R. N.
2015 IEEE CONFERENCE ON ENERGY CONVERSION (CENCON), 2015, : 227 - 232
[39] Estimation of power quality using an unscented Kalman filter
Zhang, Jian
Swain, Akshya
Nair, Nirmal-Kumar C.
Liu, J. J.
TENCON 2007 - 2007 IEEE REGION 10 CONFERENCE, VOLS 1-3, 2007, : 393 - +
[40] Friction coefficient estimation using an unscented Kalman filter
Zhao, Yunshi
Liang, Bo
Iwnicki, Simon
VEHICLE SYSTEM DYNAMICS, 2014, 52 : 220 - 234

← 1 2 3 4 5 →