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The Integrated Component-System Optimization of a Typical Thermal Management System by Combining Empirical and Heat Current Methods

Author

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  • Junhong Hao

    (Key Laboratory of Power Station Energy Transfer Conversion and System of Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Youjun Zhang

    (Key Laboratory of Power Station Energy Transfer Conversion and System of Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Nian Xiong

    (Key Laboratory of Power Station Energy Transfer Conversion and System of Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

Integration of modeling and optimization of a thermal management system simultaneously depends on heat transfer performance of the components and the topological characteristics of the system. This paper introduces a heat current method to construct the overall heat current layout of a typical double-loop thermal management system. We deduce the system heat transfer matrix as the whole system constraint based on the overall heat current layout. Moreover, we consider the influences of structural and operational parameters on the thermal hydraulic performances of each heat exchanger by combining the empirical correlations of the heat transfer and pressure drop. Finally, the minimum pressure drop is obtained by solving these optimal governing equations derived by the Lagrange multiplier method considering the physical constraints and operational conditions. The optimization results show that the minimum pressure drop reduces about 8.1% with the optimal allocation of mass flow rates of each fluid. Moreover, the impact analyses of structural and operating parameters and boundary conditions on the minimum and optimal allocation present that the combined empirical correlation-heat current method is feasible and significant for achieving integrated component-system modeling and optimization.

Suggested Citation

  • Junhong Hao & Youjun Zhang & Nian Xiong, 2020. "The Integrated Component-System Optimization of a Typical Thermal Management System by Combining Empirical and Heat Current Methods," Energies, MDPI, vol. 13(23), pages 1-17, December.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6347-:d:454736
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    References listed on IDEAS

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    1. Jarad A. Mason & Julia Oktawiec & Mercedes K. Taylor & Matthew R. Hudson & Julien Rodriguez & Jonathan E. Bachman & Miguel I. Gonzalez & Antonio Cervellino & Antonietta Guagliardi & Craig M. Brown & P, 2015. "Methane storage in flexible metal–organic frameworks with intrinsic thermal management," Nature, Nature, vol. 527(7578), pages 357-361, November.
    2. Chen, Kai & Wu, Weixiong & Yuan, Fang & Chen, Lin & Wang, Shuangfeng, 2019. "Cooling efficiency improvement of air-cooled battery thermal management system through designing the flow pattern," Energy, Elsevier, vol. 167(C), pages 781-790.
    3. Hamut, H.S. & Dincer, I. & Naterer, G.F., 2012. "Exergy analysis of a TMS (thermal management system) for range-extended EVs (electric vehicles)," Energy, Elsevier, vol. 46(1), pages 117-125.
    4. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    5. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    6. Chen, Huicui & Pei, Pucheng & Song, Mancun, 2015. "Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells," Applied Energy, Elsevier, vol. 142(C), pages 154-163.
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