Integrated modeling for intelligent battery thermal management

Zhen Liu; Han-Xiong Li

doi:10.1109/SMC.2013.430

Integrated modeling for intelligent battery thermal management

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Effective thermal management is crucial to the optimal operation of lithium ion batteries and its health management. However, the thermal behaviors of batteries are governed by complex chemical process whose parameters will degrade over time and different environment. Furthermore, limited sensors exist for measurement of the spatiotemporal thermal process. In this paper, an intelligent model for online estimation of the temperature distribution in lithium ion battery systems is proposed. Due to the difficulty and high cost to identify the online operational model directly from practical experiment measurement, an integrated approach is developed to derive the approximate analytical model through hierarchical modeling from experiment, simulation, and intelligent learning. The proposed model could be easily added to the existing battery management system. © 2013 IEEE.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Publisher	IEEE Computer Society
Pages	2522-2527
ISBN (Print)	9780769551548
DOIs	https://doi.org/10.1109/SMC.2013.430
Publication status	Published - 13 Oct 2013
Event	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013

Conference

Conference	2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Place	United Kingdom
City	Manchester
Period	13/10/13 → 16/10/13

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Battery thermal management
Distributed parameter system
Integrated modeling
Intelligent learning

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10.1109/SMC.2013.430

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Cite this

@inproceedings{ff8109901a6a415ab3142f8c487e8983,

title = "Integrated modeling for intelligent battery thermal management",

abstract = "Effective thermal management is crucial to the optimal operation of lithium ion batteries and its health management. However, the thermal behaviors of batteries are governed by complex chemical process whose parameters will degrade over time and different environment. Furthermore, limited sensors exist for measurement of the spatiotemporal thermal process. In this paper, an intelligent model for online estimation of the temperature distribution in lithium ion battery systems is proposed. Due to the difficulty and high cost to identify the online operational model directly from practical experiment measurement, an integrated approach is developed to derive the approximate analytical model through hierarchical modeling from experiment, simulation, and intelligent learning. The proposed model could be easily added to the existing battery management system. {\textcopyright} 2013 IEEE.",

keywords = "Battery thermal management, Distributed parameter system, Integrated modeling, Intelligent learning",

author = "Zhen Liu and Han-Xiong Li",

year = "2013",

month = oct,

day = "13",

doi = "10.1109/SMC.2013.430",

language = "English",

isbn = "9780769551548",

pages = "2522--2527",

booktitle = "Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013",

publisher = "IEEE Computer Society",

address = "United States",

note = "2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 ; Conference date: 13-10-2013 Through 16-10-2013",

}

Liu, Z & Li, H-X 2013, Integrated modeling for intelligent battery thermal management. in Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 6722183, IEEE Computer Society, pp. 2522-2527, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.430

Integrated modeling for intelligent battery thermal management. / Liu, Zhen; Li, Han-Xiong.
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. IEEE Computer Society, 2013. p. 2522-2527 6722183.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Integrated modeling for intelligent battery thermal management

AU - Liu, Zhen

AU - Li, Han-Xiong

PY - 2013/10/13

Y1 - 2013/10/13

N2 - Effective thermal management is crucial to the optimal operation of lithium ion batteries and its health management. However, the thermal behaviors of batteries are governed by complex chemical process whose parameters will degrade over time and different environment. Furthermore, limited sensors exist for measurement of the spatiotemporal thermal process. In this paper, an intelligent model for online estimation of the temperature distribution in lithium ion battery systems is proposed. Due to the difficulty and high cost to identify the online operational model directly from practical experiment measurement, an integrated approach is developed to derive the approximate analytical model through hierarchical modeling from experiment, simulation, and intelligent learning. The proposed model could be easily added to the existing battery management system. © 2013 IEEE.

AB - Effective thermal management is crucial to the optimal operation of lithium ion batteries and its health management. However, the thermal behaviors of batteries are governed by complex chemical process whose parameters will degrade over time and different environment. Furthermore, limited sensors exist for measurement of the spatiotemporal thermal process. In this paper, an intelligent model for online estimation of the temperature distribution in lithium ion battery systems is proposed. Due to the difficulty and high cost to identify the online operational model directly from practical experiment measurement, an integrated approach is developed to derive the approximate analytical model through hierarchical modeling from experiment, simulation, and intelligent learning. The proposed model could be easily added to the existing battery management system. © 2013 IEEE.

KW - Battery thermal management

KW - Distributed parameter system

KW - Integrated modeling

KW - Intelligent learning

U2 - 10.1109/SMC.2013.430

DO - 10.1109/SMC.2013.430

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769551548

SP - 2522

EP - 2527

BT - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

PB - IEEE Computer Society

T2 - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Y2 - 13 October 2013 through 16 October 2013

ER -

Integrated modeling for intelligent battery thermal management

Abstract

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UN SDGs

Research Keywords

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