Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery

Applied Energy

Volumn 129, Issue , 2014, Pages 49-55

  Hu, Chao ^a   Jain, Gaurav ^a   Zhang, Puqiang ^a   Schmidt, Craig ^a   Gomadam, Parthasarathy ^a   Gorka, Tom ^a  

^a MEDTRONIC INC   (United States)

Author keywords

Capacity estimation; Feature weighting; K Nearest neighbor; Kernel regression; Lithium ion battery; Particle swarm optimization

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CURVE FITTING; IONS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PARTICLE SWARM OPTIMIZATION (PSO); REGRESSION ANALYSIS;

CAPACITY ESTIMATION; DATA-DRIVEN METHODS; FEATURE WEIGHTING; IMPLANTABLE MEDICAL DEVICES; K NEAREST NEIGHBOR (KNN); K-NEAREST NEIGHBORS; KERNEL REGRESSION; MEDICAL DEVICE MANUFACTURERS;

LITHIUM-ION BATTERIES;

DATA SET; ESTIMATION METHOD; LITHIUM; NONLINEARITY; NUMERICAL MODEL; OPTIMIZATION; REGRESSION ANALYSIS; STAKEHOLDER;

EID: 84901027260     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.04.077     Document Type: Article

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