Nonlinear estimator‐based state of charge estimation for lithium titanate oxide battery in energy storage systems

Fuel savings, energy savings, and reduction of CO2 emissions are the key requirements in electric and hybrid electric vehicles (EVs and HEVs). These requirements are achieved through the usage of start‐stop systems, high‐rate energy boost during acceleration, and recovery of the energy during brakin...

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Veröffentlicht in:	Energy storage (Hoboken, N.J. : 2019) N.J. : 2019), 2024-02, Vol.6 (1), p.n/a
Hauptverfasser:	Muratoğlu, Yusuf, Alkaya, Alkan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks battery management system Dynamic loads Electric charge Energy storage energy storage system Fuzzy logic Hybrid electric vehicles Hybrid systems Kalman filters Lithium lithium titanate oxide battery Lithium-ion batteries nonlinear estimator Open circuit voltage Power management sigma point Kalman filter State of charge state of charge estimation Storage systems
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