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Abstract
The lifetime represents a major bottleneck in the widespread use of lithium-ion batteries. Pulse current charging strategy is widely considered as it can improve the charging performance of lithium-ion batteries and maximize their lifetime. However, the optimum parameters for pulse current charging to achieve the best charging performance remains to be studied. This paper, taking the positive pulse current mode as an example, comprehensively analyzes the effect of the charging current frequency and the duty cycle on two lifetime-related parameters, i.e., the capacity fade and internal resistance. Long-term aging experiments are conducted on NMC batteries, and the results demonstrate that all pulse charging strategies with different parameters helps to delay the battery degradation to varying degrees. The analysis results can hopefully provide suggestions for optimizing the charging strategy, thereby prolonging the batteries' lifetime.
Original language | English |
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Title of host publication | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 |
Number of pages | 6 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Publication date | 2022 |
ISBN (Electronic) | 9781728193878 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 9 Oct 2022 → 13 Oct 2022 |
Conference
Conference | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 |
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Country/Territory | United States |
City | Detroit |
Period | 09/10/2022 → 13/10/2022 |
Series | IEEE Energy Conversion Congress and Exposition |
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ISSN | 2329-3721 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- battery lifetime
- capacity fade
- internal resistance increase
- lithium-ion batteries
- Pulsed current charging
Fingerprint
Dive into the research topics of 'Lifetime evaluation of lithium-ion batteries under pulsed charging currents'. Together they form a unique fingerprint.Projects
- 1 Finished
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Smart Battery Management Systems for Improved Lifetime with Extended Useful Capacity
Jin, S. (PI), Stroe, D.-I. (Supervisor), Teodorescu, R. (Supervisor) & Sui, X. (Supervisor)
01/08/2020 → 31/07/2024
Project: PhD Project