Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics

Sosaburo Hikono, Ayane Sugiura, Takahiro Kawaguchi, Atsushi Baba, Ichiro Maruta, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses a continuous-time system identification of the battery for electric vehicles (EVs). Although it is important to know a state of charge (SOC) and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. The development of the battery model suffers from the battery physicochemical complexity and nonlinearity. To address such issues, this paper proposes a continuous-time system identification method using the battery model in consideration of temperature characteristics. This approach is verified by performing a construction of a model of the battery using experimental data with an EV.

Original languageEnglish
Title of host publication2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1939-1944
Number of pages6
ISBN (Print)9781479977871
DOIs
Publication statusPublished - 2015 Nov 4
EventIEEE Conference on Control and Applications, CCA 2015 - Sydney, Australia
Duration: 2015 Sep 212015 Sep 23

Other

OtherIEEE Conference on Control and Applications, CCA 2015
CountryAustralia
CitySydney
Period15/9/2115/9/23

Fingerprint

Continuous time systems
Secondary batteries
Electric vehicles
Identification (control systems)
Temperature

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Hikono, S., Sugiura, A., Kawaguchi, T., Baba, A., Maruta, I., & Adachi, S. (2015). Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings (pp. 1939-1944). [7320893] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2015.7320893

Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. / Hikono, Sosaburo; Sugiura, Ayane; Kawaguchi, Takahiro; Baba, Atsushi; Maruta, Ichiro; Adachi, Shuichi.

2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1939-1944 7320893.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hikono, S, Sugiura, A, Kawaguchi, T, Baba, A, Maruta, I & Adachi, S 2015, Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. in 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings., 7320893, Institute of Electrical and Electronics Engineers Inc., pp. 1939-1944, IEEE Conference on Control and Applications, CCA 2015, Sydney, Australia, 15/9/21. https://doi.org/10.1109/CCA.2015.7320893
Hikono S, Sugiura A, Kawaguchi T, Baba A, Maruta I, Adachi S. Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1939-1944. 7320893 https://doi.org/10.1109/CCA.2015.7320893
Hikono, Sosaburo ; Sugiura, Ayane ; Kawaguchi, Takahiro ; Baba, Atsushi ; Maruta, Ichiro ; Adachi, Shuichi. / Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1939-1944
@inproceedings{b259981ca7d74d908673c21d9a78e5a2,
title = "Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics",
abstract = "This paper discusses a continuous-time system identification of the battery for electric vehicles (EVs). Although it is important to know a state of charge (SOC) and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. The development of the battery model suffers from the battery physicochemical complexity and nonlinearity. To address such issues, this paper proposes a continuous-time system identification method using the battery model in consideration of temperature characteristics. This approach is verified by performing a construction of a model of the battery using experimental data with an EV.",
author = "Sosaburo Hikono and Ayane Sugiura and Takahiro Kawaguchi and Atsushi Baba and Ichiro Maruta and Shuichi Adachi",
year = "2015",
month = "11",
day = "4",
doi = "10.1109/CCA.2015.7320893",
language = "English",
isbn = "9781479977871",
pages = "1939--1944",
booktitle = "2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics

AU - Hikono, Sosaburo

AU - Sugiura, Ayane

AU - Kawaguchi, Takahiro

AU - Baba, Atsushi

AU - Maruta, Ichiro

AU - Adachi, Shuichi

PY - 2015/11/4

Y1 - 2015/11/4

N2 - This paper discusses a continuous-time system identification of the battery for electric vehicles (EVs). Although it is important to know a state of charge (SOC) and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. The development of the battery model suffers from the battery physicochemical complexity and nonlinearity. To address such issues, this paper proposes a continuous-time system identification method using the battery model in consideration of temperature characteristics. This approach is verified by performing a construction of a model of the battery using experimental data with an EV.

AB - This paper discusses a continuous-time system identification of the battery for electric vehicles (EVs). Although it is important to know a state of charge (SOC) and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. The development of the battery model suffers from the battery physicochemical complexity and nonlinearity. To address such issues, this paper proposes a continuous-time system identification method using the battery model in consideration of temperature characteristics. This approach is verified by performing a construction of a model of the battery using experimental data with an EV.

UR - http://www.scopus.com/inward/record.url?scp=84964331174&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964331174&partnerID=8YFLogxK

U2 - 10.1109/CCA.2015.7320893

DO - 10.1109/CCA.2015.7320893

M3 - Conference contribution

AN - SCOPUS:84964331174

SN - 9781479977871

SP - 1939

EP - 1944

BT - 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -