This paper proposes a new battery diagnostic method based on harmonic analysis. The proposed diagnostic method applies the designed sinusoidal signal to the battery. The designed sinusoidal signal is distorted as it passes through the battery. The distorted signals contain harmonic components, which vary in amplitude and pattern depending on the degree of aging battery. In comparison with the simulation and the experiment results, harmonics profile changes between normal battery and aging battery are confirmed and represent nonlinear characteristic of the degradation of battery performance. As a result, the harmonic analysis of aging battery provides a new aging indicator in battery diagnostics.
|Title of host publication||Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2019 Jun|
|Event||28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada|
Duration: 2019 Jun 12 → 2019 Jun 14
|Name||IEEE International Symposium on Industrial Electronics|
|Conference||28th IEEE International Symposium on Industrial Electronics, ISIE 2019|
|Period||19/6/12 → 19/6/14|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, the framework of international cooperation program managed by NRF of Korea #NRF-2017K1A4A3013579. This research was also supported by Korea Electric Power Corporation (KEPCO) #R18XA05.
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Control and Systems Engineering