Inicio  /  Energies  /  Vol: 12 Núm: 5 Par: March-1 (2019)  /  Artículo
ARTÍCULO
TITULO

Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges

 Artículos similares

       
 
Santi Phithakkitnukooon, Karn Patanukhom and Merkebe Getachew Demissie    
Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles and a solution to the first- and last-mile problems. Demand anticipation, or being able to accurately predict spatiotemporal demand of e-scooter usage, is one suppl... ver más

 
Revista: Energies

 
A deep neural network-based approach of energy demand modeling of electric vehicles (EV) is proposed in this paper. The model-based prediction of energy demand is based on driving cycle time series used as a model input, which is properly preprocessed an... ver más
Revista: Energies

 
Concentrating solar power (CSP) is a promising technology for exploiting solar energy. A major advantage of CSP plants lies in their capability of integrating with thermal energy storage; hence, they can have a similar operability to that of fossil-fired... ver más
Revista: Energies

 
Roberto Agromayor and Lars O. Nord    
Axial turbines are the most common turbine configuration for electric power generation and propulsion systems due to their versatility in terms of power capacity and range of operating conditions. Mean-line models are essential for the preliminary design... ver más