Health Monitoring of Lithium-Ion Batteries Using Dual Filters
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- Ngoc-Tham Tran & Abdul Basit Khan & Thanh-Tung Nguyen & Dae-Wook Kim & Woojin Choi, 2018. "SOC Estimation of Multiple Lithium-Ion Battery Cells in a Module Using a Nonlinear State Observer and Online Parameter Estimation," Energies, MDPI, vol. 11(7), pages 1-14, June.
- Hongwen He & Rui Xiong & Jinxin Fan, 2011. "Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach," Energies, MDPI, vol. 4(4), pages 1-17, March.
- Bizhong Xia & Zizhou Lao & Ruifeng Zhang & Yong Tian & Guanghao Chen & Zhen Sun & Wei Wang & Wei Sun & Yongzhi Lai & Mingwang Wang & Huawen Wang, 2017. "Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-23, December.
- Hongwen He & Hongzhou Qin & Xiaokun Sun & Yuanpeng Shui, 2013. "Comparison Study on the Battery SoC Estimation with EKF and UKF Algorithms," Energies, MDPI, vol. 6(10), pages 1-13, September.
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- Erwin Sutanto & Putu Eka Astawa & Fahmi Fahmi & Muhammad Imran Hamid & Muhammad Yazid & Wervyan Shalannanda & Muhammad Aziz, 2023. "Lithium-Ion Battery State-of-Charge Estimation from the Voltage Discharge Profile Using Gradient Vector and Support Vector Machine," Energies, MDPI, vol. 16(3), pages 1-20, January.
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Keywords
lithium battery; Kalman filter; dual Kalman filter; sliding innovation filter; state of charge; state of health; battery retirement;All these keywords.
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