TY - GEN
T1 - Design of State of Charge and Health Estimation for Li-ion Battery Management System
AU - Kim, Minjoon
AU - So, Jaehyuk
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Battery management system (BMS)
KW - Electric vehicle (EV)
KW - State-of-charge (SOC)
KW - State-of-health (SOH)
UR - https://www.scopus.com/pages/publications/85148470545
U2 - 10.1109/ISOCC56007.2022.10031465
DO - 10.1109/ISOCC56007.2022.10031465
M3 - Conference contribution
AN - SCOPUS:85148470545
T3 - Proceedings - International SoC Design Conference 2022, ISOCC 2022
SP - 322
EP - 323
BT - Proceedings - International SoC Design Conference 2022, ISOCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International System-on-Chip Design Conference, ISOCC 2022
Y2 - 19 October 2022 through 22 October 2022
ER -
