Comparison of robustness of different state of charge estimation algorithms
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Title
Comparison of robustness of different state of charge estimation algorithms
Authors
Keywords
Lithium-ion battery, State of charge, Kalman filter, Robustness, Parameter identification
Journal
JOURNAL OF POWER SOURCES
Volume 478, Issue -, Pages 228767
Publisher
Elsevier BV
Online
2020-08-29
DOI
10.1016/j.jpowsour.2020.228767
References
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- (2015) P. Guan et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
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- (2013) Yinjiao Xing et al. APPLIED ENERGY
- Discharging/Charging Voltage-Temperature Pattern Recognition for Improved SOC/Capacity Estimation and SOH Prediction at Various Temperatures
- (2012) Jong-Hoon Kim et al. Journal of Power Electronics
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- (2012) Jianqiang Kang et al. JOURNAL OF POWER SOURCES
- A review on the key issues for lithium-ion battery management in electric vehicles
- (2012) Languang Lu et al. JOURNAL OF POWER SOURCES
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF
- (2010) Mohammad Charkhgard et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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