利用人工智能提高直接甲醇燃料电池的性能

IF 49.7 1区材料科学 Q1 ENERGY & FUELS

Nature Energy Pub Date : 2025-07-14 DOI:10.1038/s41560-025-01805-w

引用次数: 0

摘要

一种受actor-critic强化学习启发的方法- Alpha-Fuel-Cell -已被开发用于控制和最大化直接甲醇燃料电池的平均输出功率。该模型实时监测燃料电池状态，并自主选择最佳行为，以提高效率和催化剂寿命。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Leveraging AI to enhance performance in direct methanol fuel cells

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Leveraging AI to enhance performance in direct methanol fuel cells

A method inspired by actor–critic reinforcement learning — Alpha-Fuel-Cell — has been developed to control and maximize the mean output electrical power of direct methanol fuel cells. This model monitors fuel cell states in real time and autonomously selects optimal actions to increase the efficiency and catalyst longevity.

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来源期刊

Nature Energy Energy-Energy Engineering and Power Technology

CiteScore

75.10

自引率

1.10%

发文量

193

期刊介绍： Nature Energy is a monthly, online-only journal committed to showcasing the most impactful research on energy, covering everything from its generation and distribution to the societal implications of energy technologies and policies. With a focus on exploring all facets of the ongoing energy discourse, Nature Energy delves into topics such as energy generation, storage, distribution, management, and the societal impacts of energy technologies and policies. Emphasizing studies that push the boundaries of knowledge and contribute to the development of next-generation solutions, the journal serves as a platform for the exchange of ideas among stakeholders at the forefront of the energy sector. Maintaining the hallmark standards of the Nature brand, Nature Energy boasts a dedicated team of professional editors, a rigorous peer-review process, meticulous copy-editing and production, rapid publication times, and editorial independence. In addition to original research articles, Nature Energy also publishes a range of content types, including Comments, Perspectives, Reviews, News & Views, Features, and Correspondence, covering a diverse array of disciplines relevant to the field of energy.