Self‐Powered Embedded‐Sensory Adjustment for Flow Batteries

Author:

Wang Yifei12,Xu Zhizhao3,Cao Ran14,Xiong Yao12,Yang Jiahong12,Lei Yanqiang1,Ding Mei3,Jia Chuankun3,Wang Zhong Lin15,Sun Qijun126ORCID

Affiliation:

1. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China

2. School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing 100049 China

3. College of Materials Science and Engineering Changsha University of Science & Technology Changsha 410114 China

4. State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai 201620 China

5. Georgia Institute of Technology Atlanta GA 30332 USA

6. Shandong Zhongke Naneng Energy Technology Co. Ltd. Dongying 257061 China

Abstract

AbstractFlow batteries (FBs) are one of the most promising strategies for large‐scale energy storage, in which the flow rates of electrolytes are critical to the redox reaction efficiency. However, low‐power and energy‐efficient strategies to effectively monitor and adjust the flow rates of FBs are great challenges. Here, a liquid metal based thin‐film and self‐powered triboelectric sensor (LM‐TS) to monitor and adjust the real‐time electrolyte flow rates in FBs is developed. By integrating the LM‐TS with a peristaltic pump (flow rate control unit in FB), the flow rates of electrolytes can be converted into readable electrical output signals. Furthermore, a logical and a control module are adopted to adjust the flow rates of electrolytes automatically after receiving those electrical signals, which are available to guarantee the optimal working condition of FBs. Benefiting from the high conductivity and outstanding ductility of ultrathin LM film, the self‐powered LM‐TS is endowed with high sensitivity, short response time (9.1 ms), and remarkable cyclic stability (> 20000 cycles) without affecting the normal operation of FBs. This is the first prototype of self‐powered adjustment sensor for FBs, which is readily extended to scaled‐up FB equipment for intermediate trial and large‐scale energy‐storage demonstration.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Nova Program

Scientific Research Foundation of Hunan Provincial Education Department

Fundamental Research Funds for the Central Universities

Chinese Academy of Sciences

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

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