Multi‐objective design optimization for mini‐channel cooling battery thermal management system in an electric vehicle. (25th March 2019)

• Record Type: Journal Article
• Authors: Li, Wei; Peng, Xiongbin; Xiao, Mi; Garg, Akhil; Gao, Liang
• Is Part Of: International journal of energy research. Volume 43:Number 8(2019)
• Page Start: 3668
• Page End: 3680
• Publication Date: 2019-03-25
• Subjects: battery thermal management system -- computational fluid dynamics -- electric vehicles -- multi‐objective design optimization -- surrogate model; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Power resources -- Research -- Periodicals; 621.042
• DOI: 10.1002/er.4518
• Languages: English
• ISSNs: 0363-907X

Abstract

Summary: Lithium‐ion battery packs have been generally used as the power source for electric vehicles. Heat generated during discharge and limited space in the battery pack may bring safety issues and negative effect on the battery pack. Battery thermal management system is indispensable since it can effectively moderate the temperature rise by using a simple system, thereby improving the safety of battery packs. However, the comprehensive investigation on the optimal design of battery thermal management system with liquid cooling is still rare. This article develops a comprehensive methodology to design an efficient mini‐channel cooling system, which comprises thermodynamics, fluid dynamics, and structural analysis. The developed methodology mainly contains four steps: the design of the mini‐channel cooling system and computational fluid dynamics analysis, the design of experiments and selection of surrogate models, formulation of optimization model, and multi‐objective optimization for selection of the optimum scheme for mini‐channel cooling battery thermal management system. The findings in the study display that the temperature difference decreases from 8.0878 to 7.6267 K by 5.70%, the standard temperature deviation decreases from 2.1346 to 2.1172 K by 0.82%, and the pressure drop decreases from 302.14 to 167.60 Pa by 44.53%. The developed methodology could be extended for industrial battery pack design process to enhance cooling effect thermal performance and decrease power consumption.