Abstract
This paper proposes real-time open circuit voltage (OCV) and capacity estimation algorithm without the initial state of the battery. The proposed algorithm estimates components of the equivalent circuit model (ECM) through the sum of square regression and obtains real-time OCV curve using the ECM voltage relationship and Coulomb counting method. The feasibility of the proposed algorithm has been demonstrated by simulation based on a lithium nickel manganese cobalt battery. Verification results show high accuracy of the OCV curve as the cycle repetition even though internal parameters of the battery are not provided.
| Original language | English |
|---|---|
| Title of host publication | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia |
| Subtitle of host publication | Green World with Power Electronics |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1579-1584 |
| Number of pages | 6 |
| ISBN (Electronic) | 9788957083505 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia - Jeju, Korea, Republic of Duration: 22 May 2023 → 25 May 2023 |
Publication series
| Name | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics |
|---|
Conference
| Conference | 11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 22/05/23 → 25/05/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Lithium-ion battery
- open circuit voltage
- reusable battery
- state of charge
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