Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm (CROSBI ID 286865)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Karlušić, Juraj ; Cipek, Mihael ; Pavković, Danijel ; Šitum, Željko ; Benić, Juraj ; Šušnjar, Marijan
engleski
Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm
Over the last decade, off-road vehicles are being increasingly hybridized through power-train electrification in terms of additional electrical machine-based propulsion and battery energy storage, with the goal of achieving significant gains in fuel economy and reductions in greenhouse gases emissions. Since hybrid power-trains consist of two or more different energy sources and may be arranged in many different configurations, there are many open questions in their design and powertrain energy management control, which may have influence on the hybridized power-train purchase cost and efficiency. The paper presents a simple backward optimization models of conventional and hybrid cable skidder powertrain. The models are then used in control variables optimization over one forest path in order to find the minimum possible fuel consumption. The optimization results show that 15% fuel efficiency improvement in winching and skid trail driving can be achieved with the selected hybrid powertrain. With that improvement, main hybrid drive components can be paid off in 13 years and if achieved efficiency improvement can be carried throughout all skidder’s operations pay off time is reduced to 44 months.
Skidder ; Optimization ; Hybrid drive ; Fuel consumption
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Podaci o izdanju
Trošak objave rada u otvorenom pristupu
Povezanost rada
Elektrotehnika, Strojarstvo, Šumarstvo