Abstract
Electrochemical impedance spectroscopy (EIS) is a non-invasive method for analyzing battery states based on impedance measurements. With the widespread use of high-capacity lithium-ion batteries in the range of mΩ impedance, achieving highly accurate impedance measurements becomes crucial for precise battery examination. EIS systems frequently utilize a digital lock-in amplifier (DLIA) to achieve ultra-precision impedance readings, but it requires a long settling time. This study proposes an innovative EIS architecture with a two-stage Hilbert transform that significantly reduces the measurement time by widening the bandwidth of noise suppression low-pass filter while maintaining high accuracy. It achieves a substantial 66% reduction in the estimated settling time at the lower bound frequency of 1 Hz and a 57% reduction in the total measurement time across the frequency range of 1-to-1k Hz.
| Original language | English |
|---|---|
| Title of host publication | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798350331820 |
| DOIs | |
| State | Published - 2023 |
| Event | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (Electronic) | 2577-1647 |
Conference
| Conference | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 16/10/23 → 19/10/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- battery management
- Electrochemical impedance spectroscopy
- Hilbert transform
- measurement time
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