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Scientific paper - Original scientific paper
Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle
Energies, 11 (2018), 10; 2838-2862. https://doi.org/10.3390/en11102838
Škugor, Branimir; Petrić, Joško

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Škugor, B. & Petrić, J. (2018). Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle. Energies, 11. (10), 2838-2862. doi: 10.3390/en11102838

Škugor, Branimir and Joško Petrić. "Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle." Energies, vol. 11, no. 10, 2018, pp. 2838-2862. https://doi.org/10.3390/en11102838

Škugor, Branimir and Joško Petrić. "Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle." Energies 11, no. 10 (2018): 2838-2862. https://doi.org/10.3390/en11102838

Škugor, B. and Petrić, J. (2018) 'Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle', Energies, 11(10), pp. 2838-2862. doi: 10.3390/en11102838

Škugor B, Petrić J. Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle. Energies [Internet]. 2018 October 20 [cited 2024 November 09];11(10):2838-2862. doi: 10.3390/en11102838

B. Škugor and J. Petrić, "Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle", Energies, vol. 11, no. 10, pp. 2838-2862, October 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:939948. [Accessed: 09 November 2024]

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Metadata
Title (english)Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle
AuthorBranimir Škugor
AuthorJoško Petrić
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 article deals with optimization of control variables and design of management strategy for a hybrid hydraulic vehicle in parallel configuration. Conventionally driven delivery truck with experimentally verified data from the previous research is taken as a starting base and benchmark for comparison of the benefits of hybridization. Optimization of control variables is carried out using dynamic programming (DP) algorithm to gain insight into optimum operation of the driveline and minimum possible fuel consumption for five different driving cycles. Two rule based management strategies are given and compared, one of which is improved and innovative, based on the knowledge gained from DP results. Hybrid driveline can reduce fuel consumption from 5% to 30% depending on the driving cycle. More dynamic cycles with lot of "stop-and-go" events score greater reduction. Innovative management strategy has achieved a similar distribution of internal combustion engine (ICE) operating points as DP optimization but this did not result in a consistent reduction of fuel consumption compared to basic management strategy for all cycles. That is explained by the state of charge (SoC) behaviour and reducing the potential for recovery of regenerative braking energy.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleEnergies
Numberingvol. 11, no. 10, pp. 2838-2862
p-ISSN1996-1073
DOIhttps://doi.org/10.3390/en11102838
URN:NBNurn:nbn:hr:235:939948
Publication2018-10-20
Document URLhttps://www.mdpi.com/1996-1073/11/10/2838
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-07-05 12:53:24