A method for state of energy estimation of lithium-ion batteries based on neural network model

Energy

Volumn 90, Issue , 2015, Pages 879-888

  Dong, Guangzhong ^a   Zhang, Xu ^a   Zhang, Chenbin ^a   Chen, Zonghai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Lithium ion batteries; Particle filter; State of energy; Wavelet neural network

Indexed keywords

AMPHIBIOUS VEHICLES; CHARGING (BATTERIES); DISTRIBUTED COMPUTER SYSTEMS; ELECTRIC BATTERIES; LITHIUM ALLOYS; LITHIUM COMPOUNDS; LITHIUM-ION BATTERIES; MONTE CARLO METHODS; SECONDARY BATTERIES;

ELECTRICAL CHARACTERISTIC; ENERGY OPTIMIZATION; NEURAL NETWORK MODEL; NONLINEAR PROBLEMS; PARTICLE FILTER; STATE OF ENERGY; TERMINAL VOLTAGES; WAVELET NEURAL NETWORKS;

BATTERY MANAGEMENT SYSTEMS;

ACCURACY ASSESSMENT; ELECTRIC VEHICLE; ENERGY; EQUIPMENT COMPONENT; ESTIMATION METHOD; EXPERIMENTAL STUDY; LITHIUM; OPTIMIZATION; PROJECT MANAGEMENT;

EID: 84939864426     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.07.120     Document Type: Article

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