TY - GEN
T1 - Cell Balancing of Li-ion Battery Pack with Adaptive Generalised Extended State Observers for Electric Vehicle Applications
AU - Muduli, Utkal Ranjan
AU - Jaafari, Khaled Al
AU - Hosani, Khalifa Al
AU - Behera, Ranjan Kumar
AU - Khusnutdinov, Rustem R.
AU - Safin, Alfred R.
N1 - Funding Information:
This work was supported by Khalifa University Advanced Power and Energy Center Award No. RC2-2018/21-06, Abu Dhabi, UAE.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This article provides a diagnosing cell-to-cell variance with state-of-charge (SOC) estimate in series connected lithium-ion batteries. SOC estimation in voltage-based balancing increases the computational complexity of implementation. To avoid such problems, a simple current sensorless SOC estimation algorithm is proposed using a generalized extended state observer, which can realize the robustness of the system to disturbance. A constant current discharge/charging profile is applied to a series linked battery pack to check the parameters and establish the practicality of the proposed method. The experimental results show that the proposed controller have higher estimation accuracy and better SoC balancing mechanism.
AB - This article provides a diagnosing cell-to-cell variance with state-of-charge (SOC) estimate in series connected lithium-ion batteries. SOC estimation in voltage-based balancing increases the computational complexity of implementation. To avoid such problems, a simple current sensorless SOC estimation algorithm is proposed using a generalized extended state observer, which can realize the robustness of the system to disturbance. A constant current discharge/charging profile is applied to a series linked battery pack to check the parameters and establish the practicality of the proposed method. The experimental results show that the proposed controller have higher estimation accuracy and better SoC balancing mechanism.
UR - http://www.scopus.com/inward/record.url?scp=85123358163&partnerID=8YFLogxK
U2 - 10.1109/ECCE47101.2021.9595601
DO - 10.1109/ECCE47101.2021.9595601
M3 - Conference contribution
AN - SCOPUS:85123358163
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 143
EP - 147
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Y2 - 10 October 2021 through 14 October 2021
ER -
