Abstract
This paper proposes a charging control strategy for lithium-ion batteries. The method applies the post-charged steady-state battery voltage to justify the characteristics of durability for the lithium-ion battery, while the possibility of over-charging and under-charging conditions can be better avoided. In the method, the charging capacity, the charging security, and battery durability are all taken into consideration. Moreover, a wolf pack algorithm is applied to the charging process and searching for the optimal charging current. With the aid of this bio-inspired algorithm, the redundant energy in the charging can be saved, while the charge process can be more effectively controlled to reduce the time and cost. The method has been implemented on the laboratory prototype. Test results are compared with published techniques.
| Original language | English |
|---|---|
| Pages | 195-200 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 3rd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2012 - Kaohsiung City, Taiwan Duration: 2012 Sept 26 → 2012 Sept 28 |
Other
| Other | 3rd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2012 |
|---|---|
| Country/Territory | Taiwan |
| City | Kaohsiung City |
| Period | 12-09-26 → 12-09-28 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Bioengineering
- Software
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