Nonlinear autoregressive neural network in an energy management strategy for battery/ultra-capacitor hybrid electrical vehicles

Electric Power Systems Research

Volumn 136, Issue , 2016, Pages 262-269

  Ibrahim, Mona ^a,b   Jemei, Samir ^b   Wimmer, Geneviève ^a   Hissel, Daniel ^b  

^a Supmicrotech ENSMM   (France)

^b UNIVERSITÉ DE FRANCHE COMTÉ   (France)

Author keywords

Artificial neural networks; Energy management; Hybrid vehicles; Time series predictions; Wavelet transform

Indexed keywords

CAPACITORS; DISCRETE WAVELET TRANSFORMS; ELECTRIC BATTERIES; ENERGY MANAGEMENT; MATHEMATICAL TRANSFORMATIONS; MILITARY VEHICLES; NEURAL NETWORKS; PROPULSION; SECONDARY BATTERIES; TIME SERIES; TIME SHARING SYSTEMS; VEHICLES; WAVELET TRANSFORMS;

AUTOREGRESSIVE NEURAL NETWORKS; DYNAMIC CHARACTERISTICS; ENERGY MANAGEMENT STRATEGIES; HYBRID ELECTRICAL VEHICLE; PROPULSION SYSTEM; REAL-TIME ENERGY MANAGEMENT; TIME SERIES PREDICTION; ULTRACAPACITORS;

HYBRID VEHICLES;

EID: 84960919073     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2016.03.005     Document Type: Article

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