prikaz prve stranice dokumenta Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle
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Scientific paper - Original scientific paper
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

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

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Škugor, B., Soldo, J. & 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, no. 4, 2019, pp. 75-91. https://doi.org/10.3390/wevj10040075

Škugor, Branimir, Jure Soldo and Joško Deur. "Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle." World Electric Vehicle Journal 10, no. 4 (2019): 75-91. https://doi.org/10.3390/wevj10040075

Škugor, B., Soldo, J. and 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), pp. 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]. 2019 November 08 [cited 2024 November 25];10(4):75-91. doi: 10.3390/wevj10040075

B. Škugor, J. Soldo and 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, no. 4, pp. 75-91, November 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:193518. [Accessed: 25 November 2024]

Metadata
Title (english)Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle
AuthorBranimir Škugor
AuthorJure Soldo
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)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleWorld Electric Vehicle Journal
Numberingvol. 10, no. 4, pp. 75-91
p-ISSN2032-6653
DOIhttps://doi.org/10.3390/wevj10040075
URN:NBNurn:nbn:hr:235:193518
Publication2019-11-08
Document URLhttps://www.mdpi.com/2032-6653/10/4/75
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2024-07-05 12:00:56