先进感知技术在电池状态估计中的应用与启示*

doi:10.11985/2022.03.006

电气工程学报 ›› 2022, Vol. 17 ›› Issue (3): 40-57.doi: 10.11985/2022.03.006

• 特邀专栏：储能(储氢)材料、技术、装置及新能源综合应用 • 上一篇下一篇

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先进感知技术在电池状态估计中的应用与启示^*

徐茂舒¹^,²(), 沈旖³^,⁴, 王晟¹^,², 张娥¹^,², 李浩秒¹^,², 周敏¹^,², 王玮³^,⁴, 王康丽¹^,², 蒋凯¹^,²^,⁵()

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

收稿日期:2022-04-30 修回日期:2022-08-12 出版日期:2022-09-25 发布日期:2022-10-28
通讯作者: 蒋凯 E-mail:msxu@hust.edu.cn;kjiang@hust.edu.cn
作者简介:徐茂舒,男,1999年生,硕士研究生。主要研究方向为基于超声传感的电池状态估计技术。E-mail： msxu@hust.edu.cn
基金资助:
*国家自然科学基金(51977097);国家电网公司总部科技(5419-202199552A-0-5-ZN)

Application and Enlightenment of Advanced Sensing Technology in Battery State Estimation

XU Maoshu¹^,²(), SHEN Yi³^,⁴, WANG Sheng¹^,², ZHANG E¹^,², LI Haomiao¹^,², ZHOU Min¹^,², WANG Wei³^,⁴, WANG Kangli¹^,², JIANG Kai¹^,²^,⁵()

1. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074
3. College of Materials Science and Technologies, Huazhong University of Science and Technology, Wuhan 430074
4. State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074
5. Engineering Research Center of Power Safety and Efficiency (Ministry of Education), Wuhan 430074

Received:2022-04-30 Revised:2022-08-12 Online:2022-09-25 Published:2022-10-28
Contact: JIANG Kai E-mail:msxu@hust.edu.cn;kjiang@hust.edu.cn

摘要/Abstract

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。

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

Abstract:

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.

Key words: Battery management system, state of charge, state of health, optical fiber sensing, electrochemical impedance spectroscopy sensing, mechanical strain sensing, acoustic sensing

中图分类号:

TM912

徐茂舒, 沈旖, 王晟, 张娥, 李浩秒, 周敏, 王玮, 王康丽, 蒋凯. 先进感知技术在电池状态估计中的应用与启示^*[J]. 电气工程学报, 2022, 17(3): 40-57.

XU Maoshu, SHEN Yi, WANG Sheng, ZHANG E, LI Haomiao, ZHOU Min, WANG Wei, WANG Kangli, JIANG Kai. Application and Enlightenment of Advanced Sensing Technology in Battery State Estimation[J]. Journal of Electrical Engineering, 2022, 17(3): 40-57.

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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

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