Design a J-type air-based battery thermal management system through surrogate-based optimization

被引:200
|
作者
Liu, Yuanzhi [1 ]
Zhang, Jie [1 ]
机构
[1] Univ Texas Dallas, Richardson, TX 75080 USA
关键词
Thermal management; Electro-thermal model; J-type structure; Surrogate-based optimization; LITHIUM-ION BATTERY; PHASE-CHANGE MATERIALS; FLOW DISTRIBUTION; PRESSURE-DROP; HYBRID; PERFORMANCE; PARAMETERS; CHARGE; MODEL; STATE;
D O I
10.1016/j.apenergy.2019.113426
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Battery thermal management system is of great importance to the performance and safety of electric vehicles. The conventional U- and Z-type air-based structures may fail to meet the thermal requirements under changing working conditions. This paper proposes a novel J-type air-based battery thermal management system by integrating the U-type and Z-type structures. A comparative parametric study of key design variables and priori optimized structures is first conducted with a newly developed battery electro-thermal model. Based on the parametric analyses, the grouped-channel optimizations are performed using surrogate-based optimization. Results show that there are 35.3%, 46.6%, and 31.18% reduction in temperature rise for U-, Z-, and J-type, respectively. The pros and cons of the J-type structure are further explored by comparing with the optimal U- and Z-type structures. A further J-type optimization regarding the manifold configuration is also conducted to show that the optimal settings of the air-based cooling system vary across working conditions, and the J-type structure is able to be adaptively controlled to satisfy the cooling requirement. Corresponding experiments are also conducted to validate the modeling and optimization results.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] SURROGATE MODEL SELECTION FOR DESIGN SPACE APPROXIMATION AND SURROGATE-BASED OPTIMIZATION
    Williams, B. A.
    Cremaschi, S.
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN, 2019, 47 : 353 - 358
  • [22] Numerical Analysis of Novel Air-Based Li-Ion Battery Thermal Management
    Chen, Wei
    Hou, Shaobo
    Shi, Jialin
    Han, Peng
    Liu, Bin
    Wu, Baoping
    Lin, Xiaoxiao
    BATTERIES-BASEL, 2022, 8 (09):
  • [23] Structure optimization of the battery thermal management system based on surrogate modeling of approximate and detailed simulations
    Wang, Lixin
    Song, Yankong
    Lyu, Chao
    Yang, Dazhi
    Wang, Wenting
    APPLIED THERMAL ENGINEERING, 2023, 235
  • [24] Surrogate-Based Analysis and Design Optimization of Power Delivery Networks
    de Jesus Leal-Romo, Felipe
    Ernesto Rayas-Sanchez, Jose
    Luis Chavez-Hurtado, Jose
    IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 2020, 62 (06) : 2528 - 2537
  • [25] Surrogate-Based Design Optimization of Multi-Band Antenna
    Belen, Aysu
    Tari, Ozlem
    Mahouti, Peyman
    Belen, Mehmet A.
    Caliskan, Alper
    APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL, 2022, 37 (01): : 34 - 40
  • [26] Surrogate-based aerodynamic shape optimization for train geometry design
    Huo, Xiaoshuai
    Liu, Tanghong
    Chen, Xiaodong
    Chen, Zhengwei
    Wang, Xinran
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2025, 259
  • [27] Surrogate-Based Optimization Design for Air-Launched Vehicle Using Iterative Terminal Guidance
    Li, Jiaxin
    Wang, Donghui
    Zhang, Weihua
    AEROSPACE, 2022, 9 (06)
  • [28] A surrogate-based optimization design method based on hybrid infill sampling criterion
    Li Z.-L.
    Peng S.-S.
    Wang T.
    Gongcheng Lixue/Engineering Mechanics, 2022, 39 (01): : 27 - 33
  • [29] Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints
    Bussemaker, Jasper H.
    Saves, Paul
    Bartoli, Nathalie
    Lefebvre, Thierry
    Nagel, Bjorn
    AIAA AVIATION FORUM AND ASCEND 2024, 2024,
  • [30] Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization
    Kontes, Giorgos D.
    Valmaseda, Cesar
    Giannakis, Georgios I.
    Katsigarakis, Kyriakos I.
    Rovas, Dimitrios V.
    JOURNAL OF PROCESS CONTROL, 2014, 24 (06) : 846 - 855