TY - GEN
T1 - A novel Li-ion battery pack modeling considerging single cell information and capacity variation
AU - Lee, Jaehyung
AU - Ahn, Jung Hoon
AU - Lee, Byoung Kuk
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/3
Y1 - 2017/11/3
N2 - In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407% and 0.065, respectively.
AB - In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407% and 0.065, respectively.
KW - Battery modeling
KW - Cell-to-cell variation
KW - Li-ion battery
KW - Packaging components
UR - https://www.scopus.com/pages/publications/85041362195
U2 - 10.1109/ECCE.2017.8096880
DO - 10.1109/ECCE.2017.8096880
M3 - Conference contribution
AN - SCOPUS:85041362195
T3 - 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
SP - 5242
EP - 5247
BT - 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Y2 - 1 October 2017 through 5 October 2017
ER -
