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      Optimization for Cooling System of Batteries Having Porous Material Using Design of Experiments

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      https://www.riss.kr/link?id=A104358700

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      다국어 초록 (Multilingual Abstract)

      A hybrid power composed of fuel cell and batteries has become the reasonable strategy for hybrid electric vehicles. On the contrary,the produced heat by batteries can affect the total performance of hybrid electric vehicles significantly. In this paper, analysis methodsand optimization strategy were constructed for obtaining the high performance cooling system for batteries having porous material.
      At first, a numerical method for obtaining the temperature distribution of battery pack including porous material was developed byusing CFD technique. In the following step, the cooling systems for batteries with porous material or not were compared for showingthe merit of the cooling system for batteries having porous material. Ultimately, an optimization strategy based on D-optimal DOEmethod was obtained through a real optimal design process. There was 13.3% reduction on the view of the root mean squaretemperature between batteries compared with the original cooling system for batteries as shown in the optimization result. Theconstructed analysis method and optimization strategy can be used to improve the performance of the cooling system for batteries,and these works have made the theoretical basis for simulation and optimization of the cooling system for batteries.
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      A hybrid power composed of fuel cell and batteries has become the reasonable strategy for hybrid electric vehicles. On the contrary,the produced heat by batteries can affect the total performance of hybrid electric vehicles significantly. In this pape...

      A hybrid power composed of fuel cell and batteries has become the reasonable strategy for hybrid electric vehicles. On the contrary,the produced heat by batteries can affect the total performance of hybrid electric vehicles significantly. In this paper, analysis methodsand optimization strategy were constructed for obtaining the high performance cooling system for batteries having porous material.
      At first, a numerical method for obtaining the temperature distribution of battery pack including porous material was developed byusing CFD technique. In the following step, the cooling systems for batteries with porous material or not were compared for showingthe merit of the cooling system for batteries having porous material. Ultimately, an optimization strategy based on D-optimal DOEmethod was obtained through a real optimal design process. There was 13.3% reduction on the view of the root mean squaretemperature between batteries compared with the original cooling system for batteries as shown in the optimization result. Theconstructed analysis method and optimization strategy can be used to improve the performance of the cooling system for batteries,and these works have made the theoretical basis for simulation and optimization of the cooling system for batteries.

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      참고문헌 (Reference)

      1 Zhen-Zhe Li, "Time-dependent Optimal Heater Control in Thermoforming Preheating Using Dual Optimization Steps" 한국정밀공학회 9 (9): 51-56, 2008

      2 Sato, N., "Thermal Behavior Analysis of Nickel Metal Hydride Batteries for Electric Vehicles" 21 (21): 205-211, 2000

      3 Belt, J. R., "The Effect of Temperature on Capacity and Power in Cycled Lithium Ion Batteries" 142 (142): 354-360, 2005

      4 Choi, S. H., "The Effect of Area Ratio on the Flow Distribution in Liquid Cooling Module Manifolds for Electronic Packaging" 20 (20): 221-234, 1993

      5 Singaravelu, J., "Taguchi's Approach for Reliability and Safety Assessments in the Stage Separation Process of a Multistage Launch Vehicle" 94 (94): 1526-1541, 2009

      6 방정환, "Study on operating characteristics of fuel cell powered electric vehicle with different air feeding systems" 대한기계학회 22 (22): 1602-1611, 2008

      7 Mills, A., "Simulation of Passive Thermal Management System for Lithium-Ion Battery Packs" 141 (141): 307-315, 2005

      8 Smith, K., "Power and Thermal Characterization of a Lithium-Ion Battery Pack for Hybrid-Electric Vehicles" 160 (160): 662-673, 2006

      9 Xuan, D. J., "Optimization of Cooling System for Batteries Using Constructed Analysis DB" 5 (5): 366-373, 2013

      10 Zhen-Zhe Li, "Optimal Design for Cooling System of Batteries Using DOE and RSM" 한국정밀공학회 13 (13): 1641-1645, 2012

      1 Zhen-Zhe Li, "Time-dependent Optimal Heater Control in Thermoforming Preheating Using Dual Optimization Steps" 한국정밀공학회 9 (9): 51-56, 2008

      2 Sato, N., "Thermal Behavior Analysis of Nickel Metal Hydride Batteries for Electric Vehicles" 21 (21): 205-211, 2000

      3 Belt, J. R., "The Effect of Temperature on Capacity and Power in Cycled Lithium Ion Batteries" 142 (142): 354-360, 2005

      4 Choi, S. H., "The Effect of Area Ratio on the Flow Distribution in Liquid Cooling Module Manifolds for Electronic Packaging" 20 (20): 221-234, 1993

      5 Singaravelu, J., "Taguchi's Approach for Reliability and Safety Assessments in the Stage Separation Process of a Multistage Launch Vehicle" 94 (94): 1526-1541, 2009

      6 방정환, "Study on operating characteristics of fuel cell powered electric vehicle with different air feeding systems" 대한기계학회 22 (22): 1602-1611, 2008

      7 Mills, A., "Simulation of Passive Thermal Management System for Lithium-Ion Battery Packs" 141 (141): 307-315, 2005

      8 Smith, K., "Power and Thermal Characterization of a Lithium-Ion Battery Pack for Hybrid-Electric Vehicles" 160 (160): 662-673, 2006

      9 Xuan, D. J., "Optimization of Cooling System for Batteries Using Constructed Analysis DB" 5 (5): 366-373, 2013

      10 Zhen-Zhe Li, "Optimal Design for Cooling System of Batteries Using DOE and RSM" 한국정밀공학회 13 (13): 1641-1645, 2012

      11 Wei, X. Z., "Modelling and Parameter Estimation of Li-Ion Battery in a Fuel Cell Vehicle" 28 (28): 605-608, 2004

      12 Jones, G. F., "Flow Distribution in Manifolded Solar Collectors with Negligible Buoyancy Effects" 52 (52): 289-300, 1994

      13 Bajura, R. A., "Flow Distribution Manifolds" 98 (98): 654-665, 1976

      14 오재응, "Development of a System for Diagnosing Faults in Rotating Machinery using Vibration Signals" 한국정밀공학회 8 (8): 54-59, 2007

      15 Tonomura, O., "CFD-based Optimal Design of Manifold in Plate-Fin Microdevices" 101 (101): 397-402, 2004

      16 Pesaran, A. A., "Battery Thermal Models for Hybrid Vehicle Simulations" 110 (110): 377-382, 2002

      17 Sabbah, R., "Active (Air-Cooled) vs. Passive (Phase Change Material) Thermal Management of High Power Lithium-Ion Packs: Limitation of Temperature Rise and Uniformity of Temperature Distribution" 182 (182): 630-638, 2008

      18 Hu, M. H., "A Study on Temperature Field of Ni2MH Batteries for Hybrid Electric Vehicle" 29 (29): 37-40, 2007

      19 Lee, Y. S., "A Study on Heat Transfer through Plain Woven Fabric. An Approach through Finite Difference Method" 28 (28): 707-714, 1991

      20 Sahin, M., "A Semi-Staggered Dilation-Free Finite Volume Method for the Numerical Solution of Viscoelastic Fluid Flows on All-Hexahedral Elements" 147 (147): 79-91, 2007

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-06-23 학회명변경 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-05-30 학술지명변경 한글명 : 한국정밀공학회 영문논문집 -> International Journal of the Korean of Precision Engineering KCI등재후보
      2005-05-30 학술지명변경 한글명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      외국어명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.38 0.71 1.08
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.92 0.85 0.583 0.11
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