Abstract
In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.
| Original language | English |
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| Title of host publication | Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 536-541 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538674475 |
| DOIs | |
| State | Published - 02 07 2018 |
| Externally published | Yes |
| Event | 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan Duration: 08 07 2018 → 13 07 2018 |
Publication series
| Name | Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
|---|
Conference
| Conference | 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 |
|---|---|
| Country/Territory | Japan |
| City | Yonago |
| Period | 08/07/18 → 13/07/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Li-ion Battery
- Multi-Stage Constant Current Charging
- Particle Swarm Optimization
