电化学(中英文) ›› 2020, Vol. 26 ›› Issue (3): 370-388. doi: 10.13208/j.electrochem.190309
李伟恒1,2, 黄秋安2,*(), 杨维明3, 杨昌平1, 张久俊2,*()
收稿日期:
2019-03-11
修回日期:
2019-04-17
出版日期:
2020-06-28
发布日期:
2020-01-16
通讯作者:
黄秋安,张久俊
E-mail:qiuan_huang@shu.edu.cn;jiujun.zhang@i.shu.edu.cn
基金资助:
LI Wei-heng1,2, HUANG Qiu-an2,*(), YANG Wei-ming3, YANG Chang-ping1, ZHANG Jiu-jun2,*()
Received:
2019-03-11
Revised:
2019-04-17
Published:
2020-06-28
Online:
2020-01-16
Contact:
HUANG Qiu-an,ZHANG Jiu-jun
E-mail:qiuan_huang@shu.edu.cn;jiujun.zhang@i.shu.edu.cn
摘要:
阻抗谱的应用范围越来越广,其传统测试方法耗时长的问题也日益突出. 提高阻抗谱测量速度的各种尝试中,合成宽带激励信号和设计高效率估计算法被认为是最具潜力的解决方案,由于伪随机二进制序列(pseudo-random binary sequence,PRBS)具有功率谱平坦和易生成等优点,它在阻抗谱快速测试中具有独特优势. 本文综述了快速阻抗谱测试中三个核心问题:PRBS信号类型、不同快速算法及其在电化学能源领域的典型应用. 对于PRBS信号类型,即最大长度序列信号、混合PRBS、离散区间二进制序列和正交PRBS,本文讨论了它们各自的特点和应用范围;对于不同的PRBS激励信号的快速算法,即离散傅里叶变换/快速傅里叶变换、小波变换、快速m序列变换、基于系统辨识的参数估计算法以及这些算法各自的特点和应用范围,本文进行了深入的分析;对于PRBS阻抗谱快速测量的应用,本文以铅酸电池、锂离子电池、质子交换膜燃料电池和超级电容器等电化学能源为例,验证了其应用的可行性. 为促进技术的进一步完善,本文总结和分析了PRBS阻抗谱快速测量存在的挑战,并提出了克服这些挑战所必需的未来研究方略.
中图分类号:
李伟恒, 黄秋安, 杨维明, 杨昌平, 张久俊. 基于伪随机二进制序列的阻抗谱快速重构及其在电化学能源领域的应用[J]. 电化学(中英文), 2020, 26(3): 370-388.
LI Wei-heng, HUANG Qiu-an, YANG Wei-ming, YANG Chang-ping, ZHANG Jiu-jun. Recent Advancement in Pseudo-Random Binary Sequence Signals-Based Fast Reconstruction of Impedance Spectrum and Its Applications in Electrochemical Energy Sources[J]. Journal of Electrochemistry, 2020, 26(3): 370-388.
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