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Studying and analyzing battery aging behavior is crucial in battery health prognostic and management. This paper conducts novel and comprehensive experiments to evaluate battery aging under variable external stresses, including different dynamic load profiles and variable environmental temperatures. Respond analysis in the time and frequency domain is performed to account for the different aging rates under different current loadings, where the statistic calculation and fast Fourier transform are used for the analysis. The empirical model is used to fit the fade curve for the comparisons between constant and variable temperatures. The capacity decrease and internal resistance increase are extracted to evaluate capacity and power fade, respectively. The experimental results show that the urban dynamic operating conditions help to prolong the service life compared to the constant current aging case. In contrast, the aging under the highway profile accelerates the aging process. Although the average temperature is the same as under constant temperature conditions, variable temperature conditions accelerate battery aging.
|Title of host publication||APEC 2023 - 38th Annual IEEE Applied Power Electronics Conference and Exposition|
|Number of pages||5|
|Publisher||IEEE Signal Processing Society|
|Publication status||Published - 2023|
|Event||38th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2023 - Orlando, United States|
Duration: 19 Mar 2023 → 23 Mar 2023
|Conference||38th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2023|
|Period||19/03/2023 → 23/03/2023|
|Sponsor||IEEE Industry Applications Society (IAS), IEEE Power Electronics Society (PELS), Power Sources Manufacturers Association (PSMA)|
|Series||Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was funded by the “SMART BATTERY” project, granted by Villum Foundation in 2021 (project number 222860).
© 2023 IEEE.
- aging behavior
- capacity fade
- dynamic loading
- Li-ion battery
- resistance increase
- variable temperature
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- 2 Active
01/01/2022 → 31/12/2024
Project: PhD Project