通过多重链路预测识别电池的可持续融合技术(2024年8月)

Identification of Sustainable Convergence Technology for Batteries via Multiplex Link Prediction (August 2024)

IEEE Transactions on Engineering Management · 2024
被引 4
ABS 3

中文导读

提出多重网络模型,利用美国专利数据预测锂电池在存储、安全和回收三方面的技术融合趋势,为电池行业利益相关者提供可持续技术发展指南。

Abstract

To meet the continuously increasing demand for batteries in electrical devices, solutions in terms of theoretical capacity, safety, and reusability are required. Therefore, it is important to investigate the development trends of sustainable battery technologies by forecasting technological convergence concerning these three aspects. However, no lithium-based battery-related studies have analyzed the fusion of technologies regarding multiple aspects. In this article, we proposed a multiplex network to identify the sustainable convergence of lithium-based battery technologies. We utilized the patents filed at the United States Patent and Trademark Office. The proposed multiplex network consists of three layers representing co-occurrence networks of international patent classification codes for storage, safety, and recycling technologies of batteries, respectively. Specifically, we focused on the technological convergence of the lithium-ion battery, the most influential energy storage solution for electronic products, and the lithium-based solid-state battery, which can be applied to recently emerging robust safety and energy-intensive products. The result of the article suggests future battery technology areas that consider three aspects. This article is expected to contribute to presenting guidelines for sustainable technology development to stakeholders in the complexly characterized battery industry.

电池技术技术融合专利分析可持续技术