prikaz prve stranice dokumenta Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades
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Scientific paper - Original scientific paper
Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades
Energies, 12 (2019), 22; 4296-4317. https://doi.org/10.3390/en12224296
Soldo, Jure; Škugor, Branimir; Deur, Joško

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Soldo, J., Škugor, B. & Deur, J. (2019). Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades. Energies, 12. (22), 4296-4317. doi: 10.3390/en12224296

Soldo, Jure, et al. "Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades." Energies, vol. 12, no. 22, 2019, pp. 4296-4317. https://doi.org/10.3390/en12224296

Soldo, Jure, Branimir Škugor and Joško Deur. "Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades." Energies 12, no. 22 (2019): 4296-4317. https://doi.org/10.3390/en12224296

Soldo, J., Škugor, B. and Deur, J. (2019) 'Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades', Energies, 12(22), pp. 4296-4317. doi: 10.3390/en12224296

Soldo J, Škugor B, Deur J. Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades. Energies [Internet]. 2019 November 11 [cited 2024 July 13];12(22):4296-4317. doi: 10.3390/en12224296

J. Soldo, B. Škugor and J. Deur, "Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades", Energies, vol. 12, no. 22, pp. 4296-4317, November 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:301705. [Accessed: 13 July 2024]

Metadata
Title (english)Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades
AuthorJure Soldo
AuthorBranimir Škugor
AuthorJoško Deur
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
(Department of Robotics and Production System Automation)
(Chair of Engineering Automation)
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract (english)
The powertrain efficiency for plug-in hybrid electric vehicles (PHEV) can be maximized by gradually discharging the battery in a blended regime, where the engine is regularly used all over the driving cycle. A key step in designing an optimal PHEV control strategy for the blended regime corresponds to synthesis of battery state-of-charge (SoC) reference trajectory. The paper first demonstrates that the optimal SoC trajectory can significantly differ from a typical linear-like shape in the case of varying road grade and presence of low-emission zones (LEZ). Next, dynamic programming (DP)-based optimizations of PHEV control variables are conducted for the purpose of extracting and analyzing optimal SoC trajectory patterns. It is shown that the optimality is closely related to the minimization of SoC trajectory length with respect to travelled distance. This finding is used for SoC reference trajectory synthesis in the presence of LEZ and varying road grades. Finally, the overall PHEV control strategy is applied to a PHEV-type city bus and verified by means of computer simulations in comparison with the DP optimization benchmark.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleEnergies
Numberingvol. 12, no. 22, pp. 4296-4317
p-ISSN1996-1073
DOIhttps://doi.org/10.3390/en12224296
URN:NBNurn:nbn:hr:235:301705
Publication2019-11-11
Document URLhttps://www.mdpi.com/1996-1073/12/22/4296
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-07-05 11:57:41