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Wenbin Li, Changtai Zhao, Chang Yu, Yan Yu, Jiaqi Huang, Yingying Lu, Hao Jiang, Shuai Gu, Zhouguang Lu, Xue Yang, Le Yu, Yuan Ren, Siqi Shi, Weihua Chen. Advanced Batteries for Sustainable Energy Storage. Green Energy&Environment. doi: 10.1016/j.gee.2025.07.009
Citation: Wenbin Li, Changtai Zhao, Chang Yu, Yan Yu, Jiaqi Huang, Yingying Lu, Hao Jiang, Shuai Gu, Zhouguang Lu, Xue Yang, Le Yu, Yuan Ren, Siqi Shi, Weihua Chen. Advanced Batteries for Sustainable Energy Storage. Green Energy&Environment. doi: 10.1016/j.gee.2025.07.009

Advanced Batteries for Sustainable Energy Storage

doi: 10.1016/j.gee.2025.07.009
  • The increasingly severe energy crisis and environmental issues have raised higher requirements for grid-scale energy storage system. Rechargeable batteries have enormous development prospects for their flexibility and environmental protection. However, the traditional organic liquid-based batteries cannot meet our needs for future advanced batteries in terms of safety, energy density, and stability under extreme working conditions. In this case, we comprehensively summarize various advanced battery technologies to overcome the above problems. Firstly, we highlight the advantage of solid-state batteries compared to liquid electrolytes. Specifically, we focus on the advantages and challenges of solid-state lithium/sodium batteries and other types of solid-state batteries associated with the electrodes, solid electrolytes and the electrode/electrolyte interphase. Secondly, we discuss the environmentally friendly and safe liquid-state battery and their application prospect. Thirdly, the battery improvement strategy has been proposed to enhance the application of batteries under extreme conditions. Subsequently, we emphasized the importance of theoretical calculations and AI technology in promoting the development of battery technology. Finally, the current challenges and future directions of battery technology are summarized. The combination of in-depth failure mechanism analysis, advanced characterization techniques, economic commercialization and machine learning enables the rapid development of advanced battery technology for sustainable energy storage.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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