The following publications are possibly variants of this publication:
- The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral ObserverJun Xu, Chunting Chris Mi, Binggang Cao, Junjun Deng, Zheng Chen, Siqi Li. tvt, 63(4):1614-1621, 2014. [doi]
- State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional ModelBaojin Wang, Zhiyuan Liu, Shengbo Eben Li, Scott Jason Moura, Huei Peng. tcst, 25(1):3-11, 2017. [doi]
- Lithium-Ion Battery State of Charge and State of Power Estimation Based on a Partial-Adaptive Fractional-Order Model in Electric VehiclesRuohan Guo, Weixiang Shen. tie, 70(10):10123-10133, October 2023. [doi]
- Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order CalculusXiaosong Hu, Hao Yuan, Changfu Zou, Zhe Li, Lei Zhang 0053. tvt, 67(11):10319-10329, 2018. [doi]
- A nonlinear adaptive observer approach for state of charge estimation of lithium-ion batteriesYonghua Li, R. Dyche Anderson, Jing Song, Anthony M. Phillips, Xu Wang. amcc 2011: 370-375 [doi]
- ∞-Based Nonlinear Observer Design for State of Charge Estimation of Lithium-Ion Battery With Polynomial ParametersQiao Zhu, Liang Li, Xiaosong Hu, Neng Xiong, Guang-Di Hu. tvt, 66(12):10853-10865, 2017. [doi]
- An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteriesFuli Zhong, Hui Li, Shouming Zhong, Qishui Zhong, Chun Yin. cnsns, 24(Issues):127-144, 2015. [doi]