Parameter identification and dynamic simulation of lithium-ion power battery based on DP model

Dong Feng; Jun Huang; Peng Jin; Haitao Chen; Anyuan Wang; Minxin Zheng

doi:10.1109/ICIEA.2019.8833993

Parameter identification and dynamic simulation of lithium-ion power battery based on DP model

Dong Feng
, Jun Huang
, Peng Jin
, Haitao Chen
, Anyuan Wang
, Minxin Zheng

School of Mechanical Engineering and Automation

Beihang University
Shanghai Institute of Space Power Sources

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

17 Scopus citations

Abstract

This paper chose the Dual Polarization equivalent circuit model to simulate the dynamic characteristics of lithium-ion battery. The relationship between the state of charge and open circuit voltage of battery was obtained based on an improved Hybrid Pulse Power Characteristic test. And then the parameters in the equivalent circuit model were identified effectively. The model was established in Simulink, and were verified in constant current and dynamic current conditions respectively. The results showed that the model can accurately reflect the static and dynamic characteristics of the battery, and the identified parameters have high precision.

Original language	English
Title of host publication	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1285-1289
Number of pages	5
ISBN (Electronic)	9781538694909
DOIs	https://doi.org/10.1109/ICIEA.2019.8833993
State	Published - Jun 2019
Event	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China Duration: 19 Jun 2019 → 21 Jun 2019

Publication series

Name	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/Territory	China
City	Xi'an
Period	19/06/19 → 21/06/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DP model
Dynamic verification
Lithium-ion battery
Parameters identification
Simulink

Access to Document

10.1109/ICIEA.2019.8833993

Cite this

Feng, D., Huang, J., Jin, P., Chen, H., Wang, A., & Zheng, M. (2019). Parameter identification and dynamic simulation of lithium-ion power battery based on DP model. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 (pp. 1285-1289). Article 8833993 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2019.8833993

Feng, Dong ; Huang, Jun ; Jin, Peng et al. / Parameter identification and dynamic simulation of lithium-ion power battery based on DP model. Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1285-1289 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

@inproceedings{566dfe7ee19140af95febc1c36601ebc,

title = "Parameter identification and dynamic simulation of lithium-ion power battery based on DP model",

abstract = "This paper chose the Dual Polarization equivalent circuit model to simulate the dynamic characteristics of lithium-ion battery. The relationship between the state of charge and open circuit voltage of battery was obtained based on an improved Hybrid Pulse Power Characteristic test. And then the parameters in the equivalent circuit model were identified effectively. The model was established in Simulink, and were verified in constant current and dynamic current conditions respectively. The results showed that the model can accurately reflect the static and dynamic characteristics of the battery, and the identified parameters have high precision.",

keywords = "DP model, Dynamic verification, Lithium-ion battery, Parameters identification, Simulink",

author = "Dong Feng and Jun Huang and Peng Jin and Haitao Chen and Anyuan Wang and Minxin Zheng",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 ; Conference date: 19-06-2019 Through 21-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICIEA.2019.8833993",

language = "英语",

series = "Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1285--1289",

booktitle = "Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019",

address = "美国",

}

Feng, D, Huang, J, Jin, P, Chen, H, Wang, A & Zheng, M 2019, Parameter identification and dynamic simulation of lithium-ion power battery based on DP model. in Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019., 8833993, Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1285-1289, 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Xi'an, China, 19/06/19. https://doi.org/10.1109/ICIEA.2019.8833993

Parameter identification and dynamic simulation of lithium-ion power battery based on DP model. / Feng, Dong; Huang, Jun; Jin, Peng et al.
Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1285-1289 8833993 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

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

TY - GEN

T1 - Parameter identification and dynamic simulation of lithium-ion power battery based on DP model

AU - Feng, Dong

AU - Huang, Jun

AU - Jin, Peng

AU - Chen, Haitao

AU - Wang, Anyuan

AU - Zheng, Minxin

PY - 2019/6

Y1 - 2019/6

N2 - This paper chose the Dual Polarization equivalent circuit model to simulate the dynamic characteristics of lithium-ion battery. The relationship between the state of charge and open circuit voltage of battery was obtained based on an improved Hybrid Pulse Power Characteristic test. And then the parameters in the equivalent circuit model were identified effectively. The model was established in Simulink, and were verified in constant current and dynamic current conditions respectively. The results showed that the model can accurately reflect the static and dynamic characteristics of the battery, and the identified parameters have high precision.

AB - This paper chose the Dual Polarization equivalent circuit model to simulate the dynamic characteristics of lithium-ion battery. The relationship between the state of charge and open circuit voltage of battery was obtained based on an improved Hybrid Pulse Power Characteristic test. And then the parameters in the equivalent circuit model were identified effectively. The model was established in Simulink, and were verified in constant current and dynamic current conditions respectively. The results showed that the model can accurately reflect the static and dynamic characteristics of the battery, and the identified parameters have high precision.

KW - DP model

KW - Dynamic verification

KW - Lithium-ion battery

KW - Parameters identification

KW - Simulink

UR - https://www.scopus.com/pages/publications/85073067657

U2 - 10.1109/ICIEA.2019.8833993

DO - 10.1109/ICIEA.2019.8833993

M3 - 会议稿件

AN - SCOPUS:85073067657

T3 - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

SP - 1285

EP - 1289

BT - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Y2 - 19 June 2019 through 21 June 2019

ER -

Feng D, Huang J, Jin P, Chen H, Wang A, Zheng M. Parameter identification and dynamic simulation of lithium-ion power battery based on DP model. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1285-1289. 8833993. (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). doi: 10.1109/ICIEA.2019.8833993

Parameter identification and dynamic simulation of lithium-ion power battery based on DP model

Abstract

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UN SDGs

Keywords

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