先进感知技术在电池状态估计中的应用与启示  

Application and Enlightenment of Advanced Sensing Technology in Battery State Estimation

作　　者：徐茂舒 沈旖 王晟 张娥[1,2] 李浩秒 周敏 王玮[3,4] 王康丽 蒋凯[1,2,5] XU Maoshu;SHEN Yi;WANG Sheng;ZHANG E;LI Haomiao;ZHOU Min;WANG Wei;WANG Kangli;JIANG Kai(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074;State Key Laboratory of Advanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology,Wuhan 430074;College of Materials Science and Technologies,Huazhong University of Science and Technology,Wuhan 430074;State Key Laboratory of Materials Processing and Die&Mould Technology,Huazhong University of Science and Technology,Wuhan 430074;Engineering Research Center of Power Safety and Efficiency(Ministry of Education),Wuhan 430074)

机构地区：[1]华中科技大学电气与电子工程学院,武汉430074 [2]华中科技大学强电磁工程与新技术国家重点实验室,武汉430074 [3]华中科技大学材料科学与工程学院,武汉430074 [4]华中科技大学材料成型与模具技术国家重点实验室,武汉430074 [5]电力安全与高效利用教育部工程研究中心,武汉430074

出　　处：《电气工程学报》2022年第3期40-57,共18页Journal of Electrical Engineering

基　　金：国家自然科学基金(51977097);国家电网公司总部科技(5419-202199552A-0-5-ZN)资助项目。

摘　　要：实时精准的电池状态估计对锂离子电池高效安全运行尤为重要。以先进感知技术对电池内部特征进行原位在线感知,可为电池应用提供丰富的数据支撑,是电池状态估计方法发展的关键。以基于电气测量特征的、基于模型的和基于数据驱动与机器学习的电池状态估计方法作为对比,辨析基于光纤感知技术、电化学阻抗谱感知技术、机械应变感知技术、声学感知技术的先进智能感知技术原理、应用和优势缺陷,构建未来智能电池与智能电池管理系统。To guarantee the safe and high-efficiency running of Lithium-ion battery,it’s vitally important to make battery state estimation timelier and more accurate.The key parameters inside the battery perceived by using advanced sensing technology in situ provide abundant data and theoretical support for battery state estimation,which has great significance of battery state estimation.Taking the general battery state estimation methods:character-based methods,model-based methods and data-driven machine learning methods as references and comparisons,the principles,applications,advantages and disadvantages of advanced sensing technology including optical fiber sensing technology,electrochemical impedance spectroscopy sensing technology,mechanical strain sensing technology and acoustic sensing technology are analyzed.Finally,the future smart battery and smart battery management system is built.

关 键 词：电池管理系统 荷电状态 健康状态 光纤感知 电化学阻抗谱感知 机械应变感知 声学感知 

分 类 号：TM912[电气工程—电力电子与电力传动]