Abstract
Recently, researches on the battery management system(BMS) have been actively conducted due to the increase in various electric vehicles. The main function of the BMS is to predict the state of charge(SOC) and the state of health(SOH)of the battery cell to ensure the stability of the vehicle and to achieve optimal performance. This paper designs block IP for estimating SOC and SOH for lithium-ion batteries up to 15 cells and implements an FPGA testbed to verify the block IP to be mounted in an SoC for BMS to accurately estimate SOC and SOH for multiple battery cells.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International SoC Design Conference 2022, ISOCC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 322-323 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665459716 |
| DOIs | |
| State | Published - 2022 |
| Event | 19th International System-on-Chip Design Conference, ISOCC 2022 - Gangneung-si, Korea, Republic of Duration: 19 Oct 2022 → 22 Oct 2022 |
Publication series
| Name | Proceedings - International SoC Design Conference 2022, ISOCC 2022 |
|---|
Conference
| Conference | 19th International System-on-Chip Design Conference, ISOCC 2022 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Gangneung-si |
| Period | 19/10/22 → 22/10/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery management system (BMS)
- Electric vehicle (EV)
- State-of-charge (SOC)
- State-of-health (SOH)
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