TY - GEN
T1 - State of Charge Estimation of Sodium Ion Battery under different Operating Conditions using Cascade Forward Backpropagation Algorithm
AU - Tiwari, Bibek
AU - Bhattacharya, Indranil
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - Sodium ion battery (SIB) technology is a promising battery technology for future energy storage systems. Due to sodium's abundance in nature and lower cost, it can be a good alternative to current Lithium ion battery (LIB) technology. The Na0.7Ni0.3Mn0.59Co0.1Cu0.01O2 cathode material was synthesized using sol gel method. The sodium ion battery was fabricated and tested resulting in the maximum discharge capacity of 150 mAhg-1 at 0.1C. The transition metal oxide SIB discharge profile contains many voltage plateaus compared to its lithium counterpart, thus necessitate the determination of the state of charge estimation for SIBs. The fabricated SIB was discharged at two different current rates (0.5C & 1C) and three different temperatures (30°C, 45°C & 55°C). These experimental results of discharge cycles were used to train the Cascade Forward Backpropagation (CFB) algorithm and used for the estimation of State of Charge (SOC) of the SIB battery. The result showed a very good estimation of SOC for SIBs.
AB - Sodium ion battery (SIB) technology is a promising battery technology for future energy storage systems. Due to sodium's abundance in nature and lower cost, it can be a good alternative to current Lithium ion battery (LIB) technology. The Na0.7Ni0.3Mn0.59Co0.1Cu0.01O2 cathode material was synthesized using sol gel method. The sodium ion battery was fabricated and tested resulting in the maximum discharge capacity of 150 mAhg-1 at 0.1C. The transition metal oxide SIB discharge profile contains many voltage plateaus compared to its lithium counterpart, thus necessitate the determination of the state of charge estimation for SIBs. The fabricated SIB was discharged at two different current rates (0.5C & 1C) and three different temperatures (30°C, 45°C & 55°C). These experimental results of discharge cycles were used to train the Cascade Forward Backpropagation (CFB) algorithm and used for the estimation of State of Charge (SOC) of the SIB battery. The result showed a very good estimation of SOC for SIBs.
KW - Batteries
KW - Cascaded Neural Networks
KW - Estimation
KW - Neural Networks
KW - Sodium Ion Battery
KW - State of Charge
UR - https://www.scopus.com/pages/publications/85070449023
U2 - 10.1109/IGESC.2018.8745517
DO - 10.1109/IGESC.2018.8745517
M3 - Conference contribution
T3 - 2018 IEEE Green Energy and Smart Systems Conference, IGESSC 2018
BT - 2018 IEEE Green Energy and Smart Systems Conference, IGESSC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Green Energy and Smart Systems Conference, IGESSC 2018
Y2 - 29 October 2018 through 30 October 2018
ER -