On SOC estimation of lithium-ion battery packs based EKF

Yu Zhang; Ximing Cheng; Yuanqi Fang; Yilin Yin

On SOC estimation of lithium-ion battery packs based EKF

Yu Zhang
, Ximing Cheng^*
, Yuanqi Fang
, Yilin Yin

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Rint equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with the Rint model can improve precision and reduce the amount of computation.

Original language	English
Title of host publication	Proceedings of the 32nd Chinese Control Conference, CCC 2013
Publisher	IEEE Computer Society
Pages	7668-7673
Number of pages	6
ISBN (Print)	9789881563835
Publication status	Published - 18 Oct 2013
Event	32nd Chinese Control Conference, CCC 2013 - Xi'an, China Duration: 26 Jul 2013 → 28 Jul 2013

Publication series

Name	Chinese Control Conference, CCC
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	32nd Chinese Control Conference, CCC 2013
Country/Territory	China
City	Xi'an
Period	26/07/13 → 28/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery model
EKF
SOC estimation

Cite this

@inproceedings{20f41e9454564f2290ea6ab7218872ba,

title = "On SOC estimation of lithium-ion battery packs based EKF",

abstract = "Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Rint equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with the Rint model can improve precision and reduce the amount of computation.",

keywords = "Battery model, EKF, SOC estimation",

author = "Yu Zhang and Ximing Cheng and Yuanqi Fang and Yilin Yin",

year = "2013",

month = oct,

day = "18",

language = "English",

isbn = "9789881563835",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "7668--7673",

booktitle = "Proceedings of the 32nd Chinese Control Conference, CCC 2013",

address = "United States",

note = "32nd Chinese Control Conference, CCC 2013 ; Conference date: 26-07-2013 Through 28-07-2013",

}

TY - GEN

T1 - On SOC estimation of lithium-ion battery packs based EKF

AU - Zhang, Yu

AU - Cheng, Ximing

AU - Fang, Yuanqi

AU - Yin, Yilin

PY - 2013/10/18

Y1 - 2013/10/18

N2 - Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Rint equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with the Rint model can improve precision and reduce the amount of computation.

AB - Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Rint equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with the Rint model can improve precision and reduce the amount of computation.

KW - Battery model

KW - EKF

KW - SOC estimation

UR - https://www.scopus.com/pages/publications/84890451196

M3 - Conference contribution

AN - SCOPUS:84890451196

SN - 9789881563835

T3 - Chinese Control Conference, CCC

SP - 7668

EP - 7673

BT - Proceedings of the 32nd Chinese Control Conference, CCC 2013

PB - IEEE Computer Society

T2 - 32nd Chinese Control Conference, CCC 2013

Y2 - 26 July 2013 through 28 July 2013

ER -

On SOC estimation of lithium-ion battery packs based EKF

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this