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Cooling-Guide Diffusion Model for Battery Cell Arrangement
March 19, 2024, 4:41 a.m. | Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed
cs.LG updates on arXiv.org arxiv.org
Abstract: Our study introduces a Generative AI method that employs a cooling-guided diffusion model to optimize the layout of battery cells, a crucial step for enhancing the cooling performance and efficiency of battery thermal management systems. Traditional design processes, which rely heavily on iterative optimization and extensive guesswork, are notoriously slow and inefficient, often leading to suboptimal solutions. In contrast, our innovative method uses a parametric denoising diffusion probabilistic model (DDPM) with classifier and cooling guidance …
abstract arxiv battery cells cooling cs.ai cs.lg design diffusion diffusion model efficiency generative guide iterative management optimization performance processes study systems type
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