TY - GEN
T1 - Battery Degradation Platform and Model for Realistic Battery Use Cases
AU - Kodaira, Daisuke
AU - Han, Sekyung
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/18
Y1 - 2020/8/18
N2 - In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.
AB - In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.
KW - battery degradation
KW - big-data platform
KW - wear density function
UR - http://www.scopus.com/inward/record.url?scp=85097599464&partnerID=8YFLogxK
U2 - 10.1109/ICSGSC50906.2020.9248541
DO - 10.1109/ICSGSC50906.2020.9248541
M3 - Conference contribution
AN - SCOPUS:85097599464
T3 - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
SP - 14
EP - 17
BT - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
Y2 - 18 August 2020 through 21 August 2020
ER -
