A lumped thermal model of lithium-ion battery cells considering radiative heat transfer

Walid Allafi; Cheng Zhang; Kotub Uddin; Daniel Worwood; Truong Quang Dinh; Pedro Ascencio Ormeno; Kang Li; James Marco

doi:10.1016/j.applthermaleng.2018.07.105

A lumped thermal model of lithium-ion battery cells considering radiative heat transfer

Walid Allafi, Cheng Zhang, Kotub Uddin, Daniel Worwood, Truong Quang Dinh, Pedro Ascencio Ormeno, Kang Li, James Marco

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

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Abstract

Thermal management plays a critical role in battery operations to improve safety and prolong battery life, especially in high power applications such as electric vehicles. A lumped parameter (LP) battery thermal model (BTM) is usually preferred for real-time thermal management due to its simple structure and ease of implementation. Considering the time-varying model parameters (e.g., the varying convective heat dissipation coefficient under different cooling conditions), an online parameter estimation scheme is needed to improve modelling accuracy. In this paper, a new formulation of adaptive LP BTM is proposed. Unlike the conventional LP BTMs that only consider convection heat transfer, the radiative heat transfer is also considered in the proposed model to better approximate the physical heat dissipation process, which leads to an improved modelling accuracy. On the other hand, the radiative heat transfer introduces nonlinearity to the BTM and poses challenge to online parameter estimation. To tackle this problem, the simplified refined instrumental variable approach is proposed for real-time parameter estimation by reformulating the nonlinear model equations into a linear-in-the-parameter manner. Finally, test data are collected using a Li ion battery. The experimental results have verified the accuracy of the proposed BTM and the effectiveness of the proposed online parameter estimation algorithm.

Original language	English
Pages (from-to)	472-481
Number of pages	10
Journal	Applied Thermal Engineering
Volume	143
Early online date	26 Jul 2018
DOIs	https://doi.org/10.1016/j.applthermaleng.2018.07.105
Publication status	Published - Oct 2018
Externally published	Yes

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Applied Thermal Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Thermal Engineering, 143, (2018) DOI: 10.1016/j.applthermaleng.2018.07.105

© 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Lumped Thermal thermal Modelmodel
Radiative
Nonlinear Parameter parameter Estimationestimation
Online Estimationestimation

UN SDGs

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

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10.1016/j.applthermaleng.2018.07.105

Post-PrintAccepted author manuscript, 1.71 MBLicence: CC BY-NC-ND

http://www.sciencedirect.com/science/article/pii/S1359431118312547

Cheng Zhang
- Centre for E-Mobility and Clean Growth - Associate Professor
Person: Teaching and Research

Cite this

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title = "A lumped thermal model of lithium-ion battery cells considering radiative heat transfer",

abstract = "Thermal management plays a critical role in battery operations to improve safety and prolong battery life, especially in high power applications such as electric vehicles. A lumped parameter (LP) battery thermal model (BTM) is usually preferred for real-time thermal management due to its simple structure and ease of implementation. Considering the time-varying model parameters (e.g., the varying convective heat dissipation coefficient under different cooling conditions), an online parameter estimation scheme is needed to improve modelling accuracy. In this paper, a new formulation of adaptive LP BTM is proposed. Unlike the conventional LP BTMs that only consider convection heat transfer, the radiative heat transfer is also considered in the proposed model to better approximate the physical heat dissipation process, which leads to an improved modelling accuracy. On the other hand, the radiative heat transfer introduces nonlinearity to the BTM and poses challenge to online parameter estimation. To tackle this problem, the simplified refined instrumental variable approach is proposed for real-time parameter estimation by reformulating the nonlinear model equations into a linear-in-the-parameter manner. Finally, test data are collected using a Li ion battery. The experimental results have verified the accuracy of the proposed BTM and the effectiveness of the proposed online parameter estimation algorithm.",

keywords = "Lumped Thermal thermal Modelmodel, Radiative, Nonlinear Parameter parameter Estimationestimation, Online Estimationestimation",

author = "Walid Allafi and Cheng Zhang and Kotub Uddin and Daniel Worwood and Dinh, {Truong Quang} and Ormeno, {Pedro Ascencio} and Kang Li and James Marco",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Applied Thermal Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Thermal Engineering, 143, (2018) DOI: 10.1016/j.applthermaleng.2018.07.105 {\textcopyright} 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/",

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AU - Allafi, Walid

AU - Zhang, Cheng

AU - Uddin, Kotub

AU - Worwood, Daniel

AU - Dinh, Truong Quang

AU - Ormeno, Pedro Ascencio

AU - Li, Kang

AU - Marco, James

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Applied Thermal Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Thermal Engineering, 143, (2018) DOI: 10.1016/j.applthermaleng.2018.07.105 © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercialNoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2018/10

Y1 - 2018/10

N2 - Thermal management plays a critical role in battery operations to improve safety and prolong battery life, especially in high power applications such as electric vehicles. A lumped parameter (LP) battery thermal model (BTM) is usually preferred for real-time thermal management due to its simple structure and ease of implementation. Considering the time-varying model parameters (e.g., the varying convective heat dissipation coefficient under different cooling conditions), an online parameter estimation scheme is needed to improve modelling accuracy. In this paper, a new formulation of adaptive LP BTM is proposed. Unlike the conventional LP BTMs that only consider convection heat transfer, the radiative heat transfer is also considered in the proposed model to better approximate the physical heat dissipation process, which leads to an improved modelling accuracy. On the other hand, the radiative heat transfer introduces nonlinearity to the BTM and poses challenge to online parameter estimation. To tackle this problem, the simplified refined instrumental variable approach is proposed for real-time parameter estimation by reformulating the nonlinear model equations into a linear-in-the-parameter manner. Finally, test data are collected using a Li ion battery. The experimental results have verified the accuracy of the proposed BTM and the effectiveness of the proposed online parameter estimation algorithm.

AB - Thermal management plays a critical role in battery operations to improve safety and prolong battery life, especially in high power applications such as electric vehicles. A lumped parameter (LP) battery thermal model (BTM) is usually preferred for real-time thermal management due to its simple structure and ease of implementation. Considering the time-varying model parameters (e.g., the varying convective heat dissipation coefficient under different cooling conditions), an online parameter estimation scheme is needed to improve modelling accuracy. In this paper, a new formulation of adaptive LP BTM is proposed. Unlike the conventional LP BTMs that only consider convection heat transfer, the radiative heat transfer is also considered in the proposed model to better approximate the physical heat dissipation process, which leads to an improved modelling accuracy. On the other hand, the radiative heat transfer introduces nonlinearity to the BTM and poses challenge to online parameter estimation. To tackle this problem, the simplified refined instrumental variable approach is proposed for real-time parameter estimation by reformulating the nonlinear model equations into a linear-in-the-parameter manner. Finally, test data are collected using a Li ion battery. The experimental results have verified the accuracy of the proposed BTM and the effectiveness of the proposed online parameter estimation algorithm.

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KW - Radiative

KW - Nonlinear Parameter parameter Estimationestimation

KW - Online Estimationestimation

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M3 - Article

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EP - 481

JO - Applied Thermal Engineering

JF - Applied Thermal Engineering

ER -

A lumped thermal model of lithium-ion battery cells considering radiative heat transfer

Abstract

Bibliographical note

Keywords

UN SDGs

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Cheng Zhang

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