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Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range
Energies, 12 (2019), 7; 1396-1416. https://doi.org/10.3390/en12071396
Topić, Jakov; Škugor, Branimir; Deur, Joško

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Topić, J., Škugor, B. i Deur, J. (2019). Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range. Energies, 12. (7), 1396-1416. doi: 10.3390/en12071396

Topić, Jakov, et al. "Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range." Energies, vol. 12, br. 7, 2019, str. 1396-1416. https://doi.org/10.3390/en12071396

Topić, Jakov, Branimir Škugor i Joško Deur. "Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range." Energies 12, br. 7 (2019): 1396-1416. https://doi.org/10.3390/en12071396

Topić, J., Škugor, B. i Deur, J. (2019) 'Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range', Energies, 12(7), str. 1396-1416. doi: 10.3390/en12071396

Topić J, Škugor B, Deur J. Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range. Energies [Internet]. 11.04.2019. [pristupljeno 30.11.2024.];12(7):1396-1416. doi: 10.3390/en12071396

J. Topić, B. Škugor i J. Deur, "Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range", Energies, vol. 12, br. 7, str. 1396-1416, Travanj 2019. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:235:364932. [Citirano: 30.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:235:364932
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Podaci o radu
Naslov (engleski)Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range
AutorJakov Topić
AutorBranimir Škugor
AutorJoško Deur
Autorova ustanovaSveučilište u Zagrebu
Fakultet strojarstva i brodogradnje
(Zavod za robotiku i automatizaciju proizvodnih sustava)
(Katedra za strojarsku automatiku)
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Strojarstvo
Sažetak (engleski)
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 and transformed into 1D or 2D static maps to serve as a static input to the neural network. Several deep feedforward neural network architectures are considered for this application along with different model input formats. Two energy demand models are derived, where the first one predicts the battery state-of-charge and fuel consumption at destination for an extended range electric vehicle, and the second one predicts the vehicle all-electric range. The models are validated based on a separate test dataset when compared to the one used in neural network training, and they are compared with the traditional response surface approach to illustrate effectiveness of the method proposed.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaEnergies
Brojčani podacivol. 12, br. 7, str. 1396-1416
p-ISSN1996-1073
DOIhttps://doi.org/10.3390/en12071396
URN:NBNurn:nbn:hr:235:364932
Datum objave publikacije2019-04-11
URL dokumentahttps://www.mdpi.com/1996-1073/12/7/1396
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-07-05 12:50:28