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    Parameterization of Battery Electrothermal Models Coupled With Finite Element Flow Models for Cooling

    Source: Journal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 007::page 71003
    Author:
    Samad, Nassim A.
    ,
    Wang, Boyun
    ,
    Siegel, Jason B.
    ,
    Stefanopoulou, Anna G.
    DOI: 10.1115/1.4035742
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Developing and parameterizing models that accurately predict the battery voltage and temperature in a vehicle battery pack are challenging due to the complex geometries of the airflow that influence the convective heat transfer. This paper addresses the difficulty in parameterizing low-order models which rely on coupling with finite element simulations. First, we propose a methodology to couple the parameterization of an equivalent circuit model (ECM) for both the electrical and thermal battery behavior with a finite element model (FEM) for the parameterization of the convective cooling of the airflow. In air-cooled battery packs with complex geometries and cooling channels, an FEM can provide the physics basis for the parameterization of the ECM that might have different convective coefficients between the cells depending on the airflow patterns. The second major contribution of this work includes validation of the ECM against the data collected from a three-cell fixture that emulates a segment of the pack with relevant cooling conditions for a hybrid vehicle. The validation is performed using an array of thin film temperature sensors covering the surface of the cell. Experiments with pulsing currents and drive cycles are used for validation over a wide range of operating conditions (ambient temperature, state of charge, current amplitude, and pulse width).
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      Parameterization of Battery Electrothermal Models Coupled With Finite Element Flow Models for Cooling

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    contributor authorSamad, Nassim A.
    contributor authorWang, Boyun
    contributor authorSiegel, Jason B.
    contributor authorStefanopoulou, Anna G.
    date accessioned2017-11-25T07:20:47Z
    date available2017-11-25T07:20:47Z
    date copyright2017/9/5
    date issued2017
    identifier issn0022-0434
    identifier otherds_139_07_071003.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236659
    description abstractDeveloping and parameterizing models that accurately predict the battery voltage and temperature in a vehicle battery pack are challenging due to the complex geometries of the airflow that influence the convective heat transfer. This paper addresses the difficulty in parameterizing low-order models which rely on coupling with finite element simulations. First, we propose a methodology to couple the parameterization of an equivalent circuit model (ECM) for both the electrical and thermal battery behavior with a finite element model (FEM) for the parameterization of the convective cooling of the airflow. In air-cooled battery packs with complex geometries and cooling channels, an FEM can provide the physics basis for the parameterization of the ECM that might have different convective coefficients between the cells depending on the airflow patterns. The second major contribution of this work includes validation of the ECM against the data collected from a three-cell fixture that emulates a segment of the pack with relevant cooling conditions for a hybrid vehicle. The validation is performed using an array of thin film temperature sensors covering the surface of the cell. Experiments with pulsing currents and drive cycles are used for validation over a wide range of operating conditions (ambient temperature, state of charge, current amplitude, and pulse width).
    publisherThe American Society of Mechanical Engineers (ASME)
    titleParameterization of Battery Electrothermal Models Coupled With Finite Element Flow Models for Cooling
    typeJournal Paper
    journal volume139
    journal issue7
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4035742
    journal fristpage71003
    journal lastpage071003-13
    treeJournal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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