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Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle
World Electric Vehicle Journal, 10 (2019), 4; 75-91. https://doi.org/10.3390/wevj10040075
Škugor, Branimir; Soldo, Jure; Deur, Joško

Institucijski repozitorij: Repozitorij Fakulteta strojarstva i brodogradnje Sveučilišta u Zagrebu

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Škugor, B., Soldo, J. i Deur, J. (2019). Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle. World Electric Vehicle Journal, 10. (4), 75-91. doi: 10.3390/wevj10040075

Škugor, Branimir, et al. "Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle." World Electric Vehicle Journal, vol. 10, br. 4, 2019, str. 75-91. https://doi.org/10.3390/wevj10040075

Škugor, Branimir, Jure Soldo i Joško Deur. "Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle." World Electric Vehicle Journal 10, br. 4 (2019): 75-91. https://doi.org/10.3390/wevj10040075

Škugor, B., Soldo, J. i Deur, J. (2019) 'Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle', World Electric Vehicle Journal, 10(4), str. 75-91. doi: 10.3390/wevj10040075

Škugor B, Soldo J, Deur J. Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle. World Electric Vehicle Journal [Internet]. 08.11.2019. [pristupljeno 25.11.2024.];10(4):75-91. doi: 10.3390/wevj10040075

B. Škugor, J. Soldo i J. Deur, "Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle", World Electric Vehicle Journal, vol. 10, br. 4, str. 75-91, Studeni 2019. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:235:193518. [Citirano: 25.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:235:193518
Podaci o radu
Naslov (engleski)Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle
AutorBranimir Škugor
AutorJure Soldo
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)
Plug-in hybrid electric vehicles (PHEV) typically combine several power sources, which call for the use of optimal control strategy design techniques. The PHEV powertrain efficiency can be improved if the battery is gradually discharged by blending fully electric and hybrid driving modes during the whole trip. Here, the battery state-of-charge (SoC) trajectory profile is of particular importance to achieving near-optimal powertrain operation. In order to reveal optimal patterns of SoC trajectory profiles, numerical optimizations of PHEV control variables based on the dynamic programing (DP) algorithm are conducted in the paper. The obtained optimal SoC trajectories are found to form linear-like profiles of minimum length when expressed with respect to travelled distance. Detailed analyses of the DP results point out that the SoC trajectory length is minimized in order to minimize electric losses, which is then reflected in reduced total fuel consumption. This finding is further justified by analyzing the problem of optimal discharging for the simplified battery-only system and for the powertrain as a whole. The impact of engine specific fuel consumption characteristic on the optimal SoC trajectory profile under simplified driving conditions is analyzed, as well.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaWorld Electric Vehicle Journal
Brojčani podacivol. 10, br. 4, str. 75-91
p-ISSN2032-6653
DOIhttps://doi.org/10.3390/wevj10040075
URN:NBNurn:nbn:hr:235:193518
Datum objave publikacije2019-11-08
URL dokumentahttps://www.mdpi.com/2032-6653/10/4/75
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2024-07-05 12:00:56