A multi-sine excitation signal optimization strategy for rapid measurement of battery impedance spectrum in time domain
- Resource Type
- Conference
- Authors
- Guo, Zhigang; Wang, Qi; Yang, Wei; Hu, Minhao; Wang, Guojun; Lu, Di; Bai, Miao; Lyu, Chao
- Source
- 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) Industrial Electronics and Applications (ICIEA), 2022 IEEE 17th Conference on. :1252-1256 Dec, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Impedance measurement
Current measurement
Battery charge measurement
Time measurement
Batteries
Impedance
State of charge
Fast Fourier transform
Electrochemical impedance spectroscopy
Genetic algorithm
Phase optimization
Amplitude optimization
- Language
- ISSN
- 2158-2297
The electrochemical impedance spectroscopy (EIS) is a non-invasive and intuitive technique to detect the state of batteries. It is widely used to assess the state of health (SOH) and state of charge (SOC) of batteries. In order to meet the needs of industrial applications, time-domain methods based on fast Fourier transform are deployed to acquire fast EIS measurement, in which multi-sine overlapped current signals are used as the excitation. In this paper, the amplitude and phase angle of the components of the multi-sine excitation are optimized. Results show that better measurement accuracy are observed after using the proposed optimization strategy.