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Systems Modeling of Thermal Manageme...

Dewanatha, Parikesit Pandu,

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Systems Modeling of Thermal Management System for Battery Electric Vehicles /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Systems Modeling of Thermal Management System for Battery Electric Vehicles // Parikesit Pandu Dewanatha.
Author:	Dewanatha, Parikesit Pandu,
Description:	1 electronic resource (167 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-12.
Contained By:	Masters Abstracts International86-12.
Subject:	Heat transfer. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31968590
ISBN:	9798311941853

Systems Modeling of Thermal Management System for Battery Electric Vehicles /
Dewanatha, Parikesit Pandu,

Systems Modeling of Thermal Management System for Battery Electric Vehicles /Parikesit Pandu Dewanatha. - 1 electronic resource (167 pages)

Source: Masters Abstracts International, Volume: 86-12.

The rise of battery electric vehicles (BEVs) has been driven by global initiatives to reduce carbon emissions and support technological advancements in battery technology. However, heat loads in these vehicles are inherently transient, and traditional thermal management system (TMS) design approaches are not suitable for designing TMS that allow up-front consideration of transient operation. Graph-based modeling has been explored as a tool for modeling dynamic systems, including thermal systems, due to its modularity and suitability for control design and optimization. It has been successfully applied to air-cycle machines and component-level thermal modeling. For BEV applications, there is an opportunity to expand graph-based modeling into system-level TMS modeling. This approach can solve the complexities of the BEV thermal management, especially with the needs of the rapidly evolving automotive industry.In this thesis, I present the modeling of a BEV TMS using a graph-based modeling framework at both the component and cycle levels. By developing a physics-based, reducedorder model, the thermal interactions within individual components and between connected components are analyzed and discussed in detail. Furthermore, I validate the graph-based model against a high-fidelity benchmark model to assess its accuracy and reliability. The validation process involves simulating and analyzing the dynamic state variables and key performance parameters of the TMS, including temperature, pressure, and enthalpy. These metrics are compared to a high-fidelity benchmark model across various operating conditions. The validated framework provides a strong foundation for future advancements in thermal management systems for BEVs.

English

ISBN: 9798311941853Subjects--Topical Terms:

3391367
Heat transfer.

Systems Modeling of Thermal Management System for Battery Electric Vehicles /
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245 1 0 $a Systems Modeling of Thermal Management System for Battery Electric Vehicles / $c Parikesit Pandu Dewanatha.
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500 $a Advisors: Jain, Neera Committee members: Shaver, Gregory; Weibel, Justin.
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520 $a The rise of battery electric vehicles (BEVs) has been driven by global initiatives to reduce carbon emissions and support technological advancements in battery technology. However, heat loads in these vehicles are inherently transient, and traditional thermal management system (TMS) design approaches are not suitable for designing TMS that allow up-front consideration of transient operation. Graph-based modeling has been explored as a tool for modeling dynamic systems, including thermal systems, due to its modularity and suitability for control design and optimization. It has been successfully applied to air-cycle machines and component-level thermal modeling. For BEV applications, there is an opportunity to expand graph-based modeling into system-level TMS modeling. This approach can solve the complexities of the BEV thermal management, especially with the needs of the rapidly evolving automotive industry.In this thesis, I present the modeling of a BEV TMS using a graph-based modeling framework at both the component and cycle levels. By developing a physics-based, reducedorder model, the thermal interactions within individual components and between connected components are analyzed and discussed in detail. Furthermore, I validate the graph-based model against a high-fidelity benchmark model to assess its accuracy and reliability. The validation process involves simulating and analyzing the dynamic state variables and key performance parameters of the TMS, including temperature, pressure, and enthalpy. These metrics are compared to a high-fidelity benchmark model across various operating conditions. The validated framework provides a strong foundation for future advancements in thermal management systems for BEVs.
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650 4 $a Cold. $3 560283
650 4 $a Cooling. $3 1457878
650 4 $a Air flow. $3 914389
650 4 $a Heat exchangers. $3 626398
650 4 $a Boundary conditions. $3 3560411
650 4 $a Thermodynamics. $3 517304
650 4 $a Electric vehicles. $3 1613392
650 4 $a Automotive engineering. $3 2181195
650 4 $a Electrical engineering. $3 649834
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