Work

Multi-objective optimization of heat transfer performance of power battery cold plate based on bionic spider web flow channel

Year: 2025

Type: article

Abstract: With the rapid advancement of new energy vehicles, effective thermal management of power batteries has become increasingly critical. This study presents a comprehensive numerical investigation using Computational Fluid Dynamics (CFD) to develop an innovative bionic spider web-inspired liquid cooling system enhanced with nanofluids. We establish a sophisticated physical model to analyze the thermal performance by systematically optimizing three key parameters: nanofluid inlet temperature, copper nanoparticle volume fraction, and flow velocity. Our comprehensive multi-parameter optimization using Response Surface Method (RSM) revealed that a 5% copper nanoparticle concentration achieves optimal cooling, reducing average and maximum battery temperatures by 0.68% and 0.67% respectively, while maintaining a manageable 16.85% increase in pressure drop. The study further identifies the most efficient operating conditions as 1.896% nanoparticle volume fraction, 283K inlet temperature, and 0.05 m/s flow velocity, establishing an optimal balance between cooling efficiency and system energy consumption. These findings provide valuable insights for the design of high-performance thermal management systems in electric vehicles, offering a scientifically validated solution that enhances both cooling effectiveness and operational efficiency.

Source: Case Studies in Thermal Engineering

DOI: 10.1016/j.csite.2025.106410

Authors: Junfu Qiao, Jinqin Guo, Yongwei Li

Institution: Taiyuan Institute of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,620