Novel framework for optimising battery-cooling microchannel heat exchangers

用于优化电池冷却微通道热交换器的新颖框架

• 批准号: DP230102229
• 负责人: Prof Emilie Sauret
• 金额: $ 34.39万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-10-19 至 2026-10-18
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230102229
• 关键词: Novel; framework; optimising; battery; cooling

Thermal overheating can affect the capacity, safety and life expectancy of batteries for renewable energy storage and electric vehicles. Microscale heat exchangers are a potential high-efficiency, low-bulk solution. This project aims to develop a novel computational methodology to optimise the design of those heat exchangers in which viscoelastic fluids are used to control flow instabilities and enhance heat transfer at the microscale. A new microscopic fluid physics model will provide data for an innovative neural network framework to optimise the working fluid conditions and microscale design, which could contribute to increased adoption of renewable energy technologies that are supported by microscale heat exchangers.

热过热会影响电池可再生能源存储和电动汽车的电池的容量，安全性和预期寿命。显微镜热交换器是一种潜在的高效率低蛋白解决方案。该项目旨在开发一种新型的计算方法，以优化那些使用粘弹性流体来控制流动不稳定性并增强微观速度的热传递的热交换器的设计。一种新的微观流体物理模型将为创新的神经网络框架提供数据，以优化工作流体条件和显微镜设计，这可能有助于增加对微观热交换器支持的可再生能源技术的采用。