The emerging hybrid electrochemical energy technologies

Electrochemical energy devices serve as a vital link in the mutual conversion between chemical energy and electrical energy. This role positions them to be essential for achieving high-efficiency utilization and advancement of renewable energy. Electrochemical reactions, including anodic and cathodic reactions, play a crucial role in facilitating the connection between two types of charge carriers: electrons circulating within the external circuit and ions transportation within the internal electrolyte, which ensures the completion of the circuit in electrochemical devices. While electrons are uniform, ions come in various types, we herein propose the concept of hybrid electrochemical energy technologies (h-EETs) characterized by the utilization of different ions as charge carriers of anodic and cathodic reactions. Accordingly, this review aims to explore the fundamentals of emerging hybrid electrochemical energy technologies and recent research advancements. We start with the introduction of the concept and foundational aspects of h-EETs, including the proposed definition, the historical background, operational principles, device configurations, and the underlying principles governing these configurations of the h-EETs. We then discuss how the integration of hybrid charge carriers influences the performance of associated h-EETs, to facilitate an insightful understanding on how ions carriers can be beneficial and effectively implemented into electrochemical energy devices. Furthermore, a special emphasis is placed on offering an overview of the research progress in emerging h-EETs over recent years, including hybrid battery capacitors that extend beyond traditional hybrid supercapacitors, as well as exploration into hybrid fuel cells and hybrid electrolytic synthesis. Finally, we highlight the major challenges and provide anticipatory insights into the future perspectives of developing high-performance h-EETs devices. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.