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Control strategy of a fuel-cell power module for electric forklift (CROSBI ID 291077)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Radica, Gojmir ; Tolj, Ivan ; Markota, Dario ; Lototskyy, Mykhaylo ; Pasupathi, Sivakumar ; Yartys, Volodymyr Control strategy of a fuel-cell power module for electric forklift // International journal of hydrogen energy, 46 (2021), 72; 35938-35948. doi: 10.1016/j.ijhydene.2021.01.225

Podaci o odgovornosti

Radica, Gojmir ; Tolj, Ivan ; Markota, Dario ; Lototskyy, Mykhaylo ; Pasupathi, Sivakumar ; Yartys, Volodymyr

engleski

Control strategy of a fuel-cell power module for electric forklift

Fuel cell-battery hybrid systems for the powertrain, which have the advantage of emission- free power generation and adapt to material transport and emission reduction, are investigated. Based on the characteristics of the fuel cell system and the characteristics of the electric forklift truck powertrain system, this work defines the design principle of the control strategy to improve overall performance and economy. A simulation platform for fuel cell and electric vehicles has been established. The optimal performance of the fuel cell stack and the battery capacity were defined for the specific application. An energy control strategy was defined for different operating cycles and operating conditions. Model validation involved comparing simulation results with experimental data obtained during VDI60 test protocol. The main parameters that influence the forklift performance were defined and evaluated, such as energy loss, fuel cell operating conditions and different battery charging cycles. The optimal size of the fuel cell stack of 11 kW and the battery of 10 Ah was determined for the specific load profile with the proposed control strategy. The results obtained in this work forms the basis for an in- depth study of the energy management of fuel cell battery drive trains for forklift trucks.

hybrid forklift truck ; PEMFC-battery power pack ; real load cycle simulation ; optimisation ; control strategy

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Podaci o izdanju

46 (72)

2021.

35938-35948

objavljeno

0360-3199

1879-3487

10.1016/j.ijhydene.2021.01.225

Povezanost rada

Kemijsko inženjerstvo, Strojarstvo

Poveznice
Indeksiranost