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

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.