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电化学储能系统中的电位智能传感与应用

Electric Potential Intelligent Sensor and Its Application in Electrochemical Energy Storage System
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摘要 电化学储能的深度参与是构建新型低碳电力系统的关键核心。规模化储能电站和新能源汽车将作为电化学储能的重要载体,但其核心部件锂电池面临的安全问题也日益突显。因此,提升电化学储能系统的安全性、稳定性和可预警性是当务之急。基于传统单调采集外部信号的解决方案已无法满足当前储能系统的需求。在电池内部植入智能传感器(电位、温度、压力、气体等)实现多维度感知正发展成为解决电池研究的重要手段。深入理解电位传感器的原理与挑战,准确定义其关键科学问题,促进电池的化学工程过程定量描述,并结合数据科学和人工智能解析技术开发面向不同应用场景的电位智能传感器,在电池快充、安全预警及寿命预测等方面将发挥重要支撑作用。 The deep involvement of electrochemical energy storage is the crucial core of building a novel low-carbon power system.Large scale energy storage power stations and new-energy vehicles will be used as important carriers of electrochemical energy storage,but the safety issues faced by the core components of lithium batteries are also increasingly highlighted.Therefore,it is urgent to improve the safety,stability and early warning of the electrochemical energy storage system.The solution based on the traditional monotonic acquisition of external signals of the batteries cannot meet the needs of the current energy storage system.Implantation of intelligent sensors(electric potential,temperature,pressure,gas,etc.)inside the battery to achieve multi-dimensional perception is becoming an important method to solve the mentioned problems.Deeply understand the principles and challenges of electric potential sensors,accurately define their key scientific issues,promote the quantitative description of the chemical engineering process of batteries,and develop electric potential intelligent sensors for different application scenarios in combination with data science and artificial intelligence analysis technology,which will play an important dominant role in fast-charging,safety early-warning and life-span prediction of batteries.
作者 闫崇 陈翔 张强 Chong Yan;Xiang Chen;Qiang Zhang(Department of Chemical Engineering,Tsinghua University,Beijing 100084;Advanced Research Institute of Multidisciplinary Science,Beijing Institute of Technology,Beijing 100081)
出处 《中国科学基金》 CSCD 北大核心 2023年第2期218-229,共12页 Bulletin of National Natural Science Foundation of China
基金 国家自然科学基金项目(22109083,21825501,22109086)的资助。
关键词 电位智能传感 电化学储能 析锂检测 电池快充 寿命预测 参比电极 electric potential intelligent sensor electrochemical energy storage lithium plating detection fast-charging of batteries life-span prediction reference electrode
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