论文标题
是时候使用生成的对抗网络减少氢燃料电池堆栈的市场
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks
论文作者
论文摘要
为了面对对化石燃料的依赖并限制碳排放，燃料电池是一项非常有前途的技术，似乎是解决能源需求增加并促进能源过渡的关键候选人。为了满足运输和固定应用的未来需求，必须大大减少燃料电池堆市场的市场。在这里，提出了一个新的概念来缩短其开发时间，通过引入基于人工智能的颠覆性和高效数据增强方法。我们的结果允许在将产品在市场上引入一千个小时之前减少测试时间。此处提出的创新概念可以支持燃料电池开发过程中的工程和研究任务，以在下降的市场时间内实现降低的开发成本。
To face the dependency on fossil fuels and limit carbon emissions, fuel cells are a very promising technology and appear to be a key candidate to tackle the increase of the energy demand and promote the energy transition. To meet future needs for both transport and stationary applications, the time to market of fuel cell stacks must be drastically reduced. Here, a new concept to shorten their development time by introducing a disruptive and highefficiency data augmentation approach based on artificial intelligence is presented. Our results allow reducing the testing time before introducing a product on the market from a thousand to a few hours. The innovative concept proposed here can support engineering and research tasks during the fuel cell development process to achieve decreased development costs alongside a reduced time to market.
