作者: Luigi d'Apolito , Hanchi Hong
DOI: 10.1108/JEDT-06-2019-0165
关键词: Cruise 、 Fuel efficiency 、 Computer science 、 Driving cycle 、 Automotive engineering 、 Hydraulic circuit 、 Truck 、 Artificial neural network 、 Powertrain 、 Reduction (mathematics)
摘要: Forklift trucks are generally operated with frequent accelerations and stops, reverse operations of load handling. This way operation increases the energy losses consequently need for reduction fuel consumption from forklift customers. study aims to build a model replicate performance forklifts during real estimate without building prototype.,AVL Cruise has been used simulate powertrain hydraulic circuit. The driving cycles this were in accordance standard VDI 2198. Artificial neural networks (ANNs), trained by results AVL simulations, have forecast large set possible cycles.,The comparison between simulated experimental data verified that was able forklifts, but only valid specified cycle. ANNs, certain number cycles, found effective larger following prescriptions 2198.,A new method based on ANN, simulation results, introduced consumption, reducing computational time cost tests.