語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Development of a CFD Simulation Fram...
~
Jain, Ayushi.
FindBook
Google Book
Amazon
博客來
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs./
作者:
Jain, Ayushi.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
70 p.
附註:
Source: Masters Abstracts International, Volume: 83-01.
Contained By:
Masters Abstracts International83-01.
標題:
Mechanical engineering. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497620
ISBN:
9798516068065
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs.
Jain, Ayushi.
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 70 p.
Source: Masters Abstracts International, Volume: 83-01.
Thesis (M.S.)--The University of North Carolina at Charlotte, 2021.
This item must not be sold to any third party vendors.
Lithium-ion batteries (LIB) are widely being used in the field of electric vehicles, their high-power density, low resistance, compactness and low self-discharge rate. These make LIBs an ideal choice for use in electric vehicles (EV). To increase the reliability of LIBs, a proper battery thermal management system is required. This thesis presents a finite volume based Computational Fluid Dynamics (CFD) aero-thermal analysis for a pack of high energy density cylindrical lithium-ion batteries. This study presents first the development of a CFD framework required for a comprehensive aero-thermal investigation. This includes investigations on the effectiveness of turbulence modeling approaches in capturing local hot-spots developed for a range of inlet velocities and configurations of the lithium-ion battery pack. Turbulence models investigated include Mentors SST k-ω, Launder and Spalding standard k-ε, realizable k-ε and elliptic blending k-ε. The results from these simulations are compared against published experimental wind-tunnel data. Simcenter Battery Design Studio (BDS) is used to generate a detailed and in-dept model of the LG INR 18650 MJ1 (LiNiCoMnO2) cell. The cell from BDS is imported in Simcenter Starccm+ 2020.2 where the simulation is set-up to monitor voltage variation, discharge rate current, temperature distribution within the pack, maximum temperature of aligned, staggered, and cross configuration for various inlet velocities. The results of these simulations are compared, and it is found that, in spite of all its short comings, the standard k-ε model is the most accurate model for such analysis. It is also observed that the dependency of heat generation on discharge current is significant, the battery performance is affected by the ambient temperature, and the aligned arrangement has the best temperature uniformity and cooling effectiveness. Lastly, there is significant effect on the stability of the simulation depending on the way the boundary condition is modeled is projected.
ISBN: 9798516068065Subjects--Topical Terms:
649730
Mechanical engineering.
Subjects--Index Terms:
Battery design studio
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs.
LDR
:03278nmm a2200397 4500
001
2282251
005
20211001100736.5
008
220723s2021 ||||||||||||||||| ||eng d
020
$a
9798516068065
035
$a
(MiAaPQ)AAI28497620
035
$a
AAI28497620
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Jain, Ayushi.
$3
3561022
245
1 0
$a
Development of a CFD Simulation Framework for Aerothermal Analyses of Electric Vehicle Battery Packs.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2021
300
$a
70 p.
500
$a
Source: Masters Abstracts International, Volume: 83-01.
500
$a
Advisor: Uddin, Mesbah.
502
$a
Thesis (M.S.)--The University of North Carolina at Charlotte, 2021.
506
$a
This item must not be sold to any third party vendors.
520
$a
Lithium-ion batteries (LIB) are widely being used in the field of electric vehicles, their high-power density, low resistance, compactness and low self-discharge rate. These make LIBs an ideal choice for use in electric vehicles (EV). To increase the reliability of LIBs, a proper battery thermal management system is required. This thesis presents a finite volume based Computational Fluid Dynamics (CFD) aero-thermal analysis for a pack of high energy density cylindrical lithium-ion batteries. This study presents first the development of a CFD framework required for a comprehensive aero-thermal investigation. This includes investigations on the effectiveness of turbulence modeling approaches in capturing local hot-spots developed for a range of inlet velocities and configurations of the lithium-ion battery pack. Turbulence models investigated include Mentors SST k-ω, Launder and Spalding standard k-ε, realizable k-ε and elliptic blending k-ε. The results from these simulations are compared against published experimental wind-tunnel data. Simcenter Battery Design Studio (BDS) is used to generate a detailed and in-dept model of the LG INR 18650 MJ1 (LiNiCoMnO2) cell. The cell from BDS is imported in Simcenter Starccm+ 2020.2 where the simulation is set-up to monitor voltage variation, discharge rate current, temperature distribution within the pack, maximum temperature of aligned, staggered, and cross configuration for various inlet velocities. The results of these simulations are compared, and it is found that, in spite of all its short comings, the standard k-ε model is the most accurate model for such analysis. It is also observed that the dependency of heat generation on discharge current is significant, the battery performance is affected by the ambient temperature, and the aligned arrangement has the best temperature uniformity and cooling effectiveness. Lastly, there is significant effect on the stability of the simulation depending on the way the boundary condition is modeled is projected.
590
$a
School code: 0694.
650
4
$a
Mechanical engineering.
$3
649730
650
4
$a
Thermodynamics.
$3
517304
650
4
$a
Energy.
$3
876794
650
4
$a
Automotive engineering.
$3
2181195
650
4
$a
Fluid mechanics.
$3
528155
653
$a
Battery design studio
653
$a
Computational fluid dynamics
653
$a
Heat transfer
653
$a
Lithium-ion batteries
653
$a
Numerical analysis
690
$a
0548
690
$a
0204
690
$a
0348
690
$a
0540
690
$a
0791
710
2
$a
The University of North Carolina at Charlotte.
$b
Engineering.
$3
3561023
773
0
$t
Masters Abstracts International
$g
83-01.
790
$a
0694
791
$a
M.S.
792
$a
2021
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497620
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9433984
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入