Optimizing Drive Force Allocation in Hydraulic Hybrid Motor-Assisted Systems Using Machine Learning
Keywords:
Hydraulic Hybrid Motor, ML, Optimized drive, Motor Assisted model.Abstract
Hydraulic hybrid powertrains offer a feasible solution for urban mobility in light of the increasing need for energy-efficient and eco-friendly automobiles. This research presents an innovative hydraulic hybrid vehicle including wheel motors, aimed at improving power output and fuel efficiency. A predictive simulation model of the proposed vehicle is created, with system characteristics customized to fulfill particular power performance criteria. A diminutive engine, with its maximum power diminished by 11.96%, is chosen to enhance efficiency. The simulation model is calibrated and confirmed via experimental testing on a bespoke test bench.Simulation outcomes demonstrate substantial enhancements in vehicle performance
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