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Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle

Branimir Škugor and Joško Petrić
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Branimir Škugor: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, 10000 Code, Croatia
Joško Petrić: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, 10000 Code, Croatia

Energies, 2018, vol. 11, issue 10, 1-24

Abstract: 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: dynamic programming optimization; hybrid driveline management strategy; hybrid hydraulic vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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