A new type of liquid-cooled channel thermal characteristics analysis and optimization based on the optimal characteristics of 24 types of channels. (March 2023)

• Record Type: Journal Article
• Authors: Zhang, Furen; He, Yanxiao; Wang, Chengdeng; Liang, Beibei; Zhu, Yilin; Gou, Huan; Xiao, Kang; Lu, Fu
• Is Part Of: International journal of heat and mass transfer. Volume 202(2023)
• Publication Date: 2023-03
• Subjects: Liquid cooling system -- Optimal channel characteristics -- Multi-objective optimization -- Arcing -- CFD; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2022.123734
• Languages: English
• ISSNs: 0017-9310

Abstract

Highlights: Optimal channel features were obtained by analyzing channel heat flow performance. Improved cooling efficiency through agent model and algorithm optimization. Arcing greatly improved the comprehensive performance of liquid cooled plates. The optimized average temperature and pressure drop were reduced by 0.36°C and 132.43Pa. Abstract: The battery thermal management system (BTMS) is an important guarantee that the batteries of new energy vehicles work efficiently and safely, so it is particularly important to design a liquid cooling channel with good cooling performance and low power consumption. Based on 6 types of common local channel geometries (square, triangular, diamond, trapezoid, hexagonal, etc.), 24 types of liquid-cooled plate channel structures were proposed by adding V- and X-shaped differential flow channel inside. Analyzed the flow characteristics, pressure drop and heat transfer characteristics of the 24 different types of liquid-cooled channels, to clarify the reasons for the differences in heat dissipation level and pressure drop of each type of micro channel, and to obtain the optimal channel types. For the structural parameters of the optimal channel types, the NSGA-II algorithm was used for multi-objective optimization. Compared to CFD simulation results, the relative errors were within 3%. To further improve the comprehensive performance of the liquid-cooled plate, the optimized model would be analyzed for channel arcing. The optimized results showed an average temperature reduction of 0.36°C (1.01%) and a pressure drop reduction of 132.43Pa (64.72%) compared to the base model. The optimal channel features obtained in this study will provide a reference for the selection of channel types and local feature optimization.