Novel framework for optimising battery-cooling microchannel heat exchangers

热过热会影响可再生能源存储和电动汽车电池的容量、安全性和预期寿命。微型热交换器是一种潜在的高效率、低体积的解决方案。该项目旨在开发一种新的计算方法来优化热交换器的设计，其中粘弹性流体用于控制流动不稳定性并增强微尺度的传热。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微尺度设计，这可能有助于增加采用由微尺度热交换器支持的可再生能源技术。

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.