@inproceedings{cc974a583fe94cdda85795057593b8c0,
title = "Cell Balancing of Li-ion Battery Pack with Adaptive Generalised Extended State Observers for Electric Vehicle Applications",
abstract = "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.",
author = "Muduli, \{Utkal Ranjan\} and Jaafari, \{Khaled Al\} and Hosani, \{Khalifa Al\} and Behera, \{Ranjan Kumar\} and Khusnutdinov, \{Rustem R.\} and Safin, \{Alfred R.\}",
note = "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: {\textcopyright} 2021 IEEE.; 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 ; Conference date: 10-10-2021 Through 14-10-2021",
year = "2021",
doi = "10.1109/ECCE47101.2021.9595601",
language = "British English",
series = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--147",
booktitle = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",
address = "United States",
}