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RSS FeedsEnergies, Vol. 13, Pages 1745: Neuro-Fuzzy System for Energy Management of Conventional Autonomous Vehicles (Energies)

 
 

6 april 2020 16:00:23

 
Energies, Vol. 13, Pages 1745: Neuro-Fuzzy System for Energy Management of Conventional Autonomous Vehicles (Energies)
 


This paper investigates the energy management system (EMS) of a conventional autonomous vehicle, with a view to enhance its powertrain efficiency. The designed EMS includes two neuro-fuzzy (NF) systems to produce the optimal torque of the engine. This control system uses the dynamic road power demand of the autonomous vehicle as an input, and a PID controller to regulate the air mass flow rate into the cylinder by changing the throttle angle. Two NF systems were trained by the Grid Partition (GP) and the Subtractive Clustering (SC) methods. The simulation results show that the proposed EMS can reduce the fuel consumption of the vehicle by 6.69 and 6.35 l/100 km using the SC and the GP, respectively. In addition, the EMS based on NF trained by GP and NF trained by SC can reduce the fuel consumption of the vehicle by 11.8% and 7.08% compared with the case without the controller, respectively.


 
28 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 13, Pages 1746: Investigation of the Energy Saving Efficiency of a Natural Ventilation Strategy in a Multistory School Building (Energies)
Energies, Vol. 13, Pages 1758: Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic (Energies)
 
 
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