TY - GEN
T1 - Analysis of SoC Estimation for Master-Slave BMS Configuration
AU - Bose, Bibaswan
AU - Vandana,
AU - Soni, Rahul
AU - Garg, A.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The ability to precisely estimate the State of Charge (SoC) of a Lithium-ion battery is critical. BMS plays an important role in ensuring a safe and dependable operation. Due to inefficiency or a tempered algorithm, an inefficient BMS may display the incorrect SoC. As a result, a MasterSlave BMS configuration architecture has been proposed for identifying and correcting SoC estimation error. Following a comparative study on SoC estimation, a hybrid model was chosen for accurate SoC estimation in Master BMS. Six estimation methods were used in conjunction with a dynamic vehicle model. For further improvement, the data-driven methods (Neural Network and Nonlinear Auto-Regression Moving Average -2) are combined.
AB - The ability to precisely estimate the State of Charge (SoC) of a Lithium-ion battery is critical. BMS plays an important role in ensuring a safe and dependable operation. Due to inefficiency or a tempered algorithm, an inefficient BMS may display the incorrect SoC. As a result, a MasterSlave BMS configuration architecture has been proposed for identifying and correcting SoC estimation error. Following a comparative study on SoC estimation, a hybrid model was chosen for accurate SoC estimation in Master BMS. Six estimation methods were used in conjunction with a dynamic vehicle model. For further improvement, the data-driven methods (Neural Network and Nonlinear Auto-Regression Moving Average -2) are combined.
KW - Extended Kalman Filter (EKF)
KW - Neural Network
KW - Non-linear Auto-Regressive Moving Average (NARMA L-2)
KW - Open Circuit Voltage (OCV)
KW - State of Charge (SoC)
KW - State of Health (SoH)
KW - Unscented Kalman Filter (UKF)
UR - http://www.scopus.com/inward/record.url?scp=85152195626&partnerID=8YFLogxK
U2 - 10.1109/ICAC3N56670.2022.10074062
DO - 10.1109/ICAC3N56670.2022.10074062
M3 - Conference Proceeding
AN - SCOPUS:85152195626
T3 - Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
SP - 1317
EP - 1322
BT - Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
A2 - Sharma, Vishnu
A2 - Sharma, Vishnu
A2 - Singh, Manjeet
A2 - Singh, Manjeet
A2 - Sinha, Jaya
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
Y2 - 16 December 2022 through 17 December 2022
ER -
