A novel adaptive equivalence fuel consumption minimisation strategy for a hybrid electric two-wheeler

HIGHLIGHTS

  • who: Naga Kavitha Kommuri and collaborators from the (WMG), University of, Coventry , AL, UK have published the research work: A Novel Adaptive Equivalence Fuel Consumption Minimisation Strategy for a Hybrid Electric Two-Wheeler, in the Journal: Energies 2022, 3192 of /2022/
  • what: In this paper equivalent (A-ECMS) has been developed for hybrid two-wheeler to further improve savings by predicting the drive cycles and thereby estimating and adapting the factor online for the ECMS energy management control. learning vector quantitative neural network (LVQNN)-based classifier was first proposed to recognise the real-world driving . . .

     

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