Parameter identification of electrochemical model of vanadium redox battery by metaheuristic algorithms

An accurate pre‐setting of the constant coefficients and parameters of the electrochemical model of the battery is essential for the accuracy of the model. The experimental methods are not precisely determined these parameters. In vanadium redox flow batteries (VRFB), like other types of batteries,...

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Veröffentlicht in:	Energy storage (Hoboken, N.J. : 2019) N.J. : 2019), 2023-04, Vol.5 (3), p.n/a
Hauptverfasser:	Khaki, Bahman, Kulkarni, Chinmay, Das, Pritam
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms battery parameter identification Coefficients Electric potential energy storage systems Error analysis genetic algorithm Genetic algorithms grey wolf optimizer Heuristic methods hybrid PSOGWO Mathematical models Model accuracy Optimization Parameter identification particle swarm optimizer Rechargeable batteries state of charge state of health Swarm intelligence Vanadium vanadium redox flow batteries Voltage
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