SOC estimation of lithium-ion battery packs based on thevenin model

Yuanqi Fang; Ximing Cheng; Yilin Yin

doi:10.4028/www.scientific.net/AMM.299.211

SOC estimation of lithium-ion battery packs based on thevenin model

Yuanqi Fang
, Ximing Cheng^*
, 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

17 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 Thevenin 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 Thevenin model can improve precision and reduce amount of computation. Copy; (2013) Trans Tech Publications, Switzerland.

Original language	English
Title of host publication	Mechanical Engineering, Industrial Electronics and Informatization
Pages	211-215
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.299.211
Publication status	Published - 2013
Event	2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012 - Qinhuangdao, Hebei, China Duration: 28 Dec 2012 → 30 Dec 2012

Publication series

Name	Applied Mechanics and Materials
Volume	299
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012
Country/Territory	China
City	Qinhuangdao, Hebei
Period	28/12/12 → 30/12/12

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

EKF
Lithium-ion battery
SOC estimation
Thevenin model

Access to Document

10.4028/www.scientific.net/AMM.299.211

Cite this

@inproceedings{ce9bf4302eb9430a843416adbe9c54f8,

title = "SOC estimation of lithium-ion battery packs based on thevenin model",

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 Thevenin 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 Thevenin model can improve precision and reduce amount of computation. Copy; (2013) Trans Tech Publications, Switzerland.",

keywords = "EKF, Lithium-ion battery, SOC estimation, Thevenin model",

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

year = "2013",

doi = "10.4028/www.scientific.net/AMM.299.211",

language = "English",

isbn = "9783037856505",

series = "Applied Mechanics and Materials",

pages = "211--215",

booktitle = "Mechanical Engineering, Industrial Electronics and Informatization",

note = "2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012 ; Conference date: 28-12-2012 Through 30-12-2012",

}

Fang, Y, Cheng, X & Yin, Y 2013, SOC estimation of lithium-ion battery packs based on thevenin model. in Mechanical Engineering, Industrial Electronics and Informatization. Applied Mechanics and Materials, vol. 299, pp. 211-215, 2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012, Qinhuangdao, Hebei, China, 28/12/12. https://doi.org/10.4028/www.scientific.net/AMM.299.211

TY - GEN

T1 - SOC estimation of lithium-ion battery packs based on thevenin model

AU - Fang, Yuanqi

AU - Cheng, Ximing

AU - Yin, Yilin

PY - 2013

Y1 - 2013

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 Thevenin 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 Thevenin model can improve precision and reduce amount of computation. Copy; (2013) Trans Tech Publications, Switzerland.

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 Thevenin 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 Thevenin model can improve precision and reduce amount of computation. Copy; (2013) Trans Tech Publications, Switzerland.

KW - EKF

KW - Lithium-ion battery

KW - SOC estimation

KW - Thevenin model

UR - https://www.scopus.com/pages/publications/84874604324

U2 - 10.4028/www.scientific.net/AMM.299.211

DO - 10.4028/www.scientific.net/AMM.299.211

M3 - Conference contribution

AN - SCOPUS:84874604324

SN - 9783037856505

T3 - Applied Mechanics and Materials

SP - 211

EP - 215

BT - Mechanical Engineering, Industrial Electronics and Informatization

T2 - 2012 International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2012

Y2 - 28 December 2012 through 30 December 2012

ER -

SOC estimation of lithium-ion battery packs based on thevenin model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this