Fractional-order modeling and parameter identification for lithium-ion batteries

Journal of Power Sources

Volumn 293, Issue , 2015, Pages 151-161

  Wang, Baojin ^a,b   Li, Shengbo Eben ^b,c   Peng, Huei ^b   Liu, Zhiyuan ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF MICHIGAN   (United States)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Differentiation order identification; Electrochemical impedance spectroscopy; Fractional order model; Hybrid multi swarm particle swarm optimization; Lithium ion batteries

Indexed keywords

CIRCUIT SIMULATION; CIRCUIT THEORY; ELECTRIC BATTERIES; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; IDENTIFICATION (CONTROL SYSTEMS); IONS; LITHIUM; LITHIUM ALLOYS; LITHIUM COMPOUNDS; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO);

APPROXIMATION DEGREES; EQUIVALENT CIRCUIT MODEL; FRACTIONAL ORDER MODELS; MODEL ACCURACY; MODEL PERFORMANCE; MULTI-SWARM PARTICLE SWARM OPTIMIZATIONS; NON-INTEGER DIFFERENTIATION; ORDER IDENTIFICATIONS;

LITHIUM-ION BATTERIES;

EID: 84929572822     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2015.05.059     Document Type: Article

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