
Implementation of Radial Basis Function Artificial Neural Network into an Adaptive Equivalent Consumption Minimization Strategy for Optimized Control of a Hybrid Electric Vehicle
Author(s) -
Thomas P. Harris,
Andrew C. Nix,
Mario G. Perhinschi,
W. Scott Wayne,
Jared A. Diethorn,
Aaron R. Mull
Publication year - 2021
Publication title -
journal of transportation technologies
Language(s) - English
Resource type - Journals
eISSN - 2160-0481
pISSN - 2160-0473
DOI - 10.4236/jtts.2021.114031
Subject(s) - driving cycle , fuel efficiency , artificial neural network , minification , electric vehicle , benchmark (surveying) , radial basis function , engineering , drivetrain , a priori and a posteriori , control theory (sociology) , mathematical optimization , computer science , torque , control engineering , automotive engineering , control (management) , artificial intelligence , power (physics) , mathematics , philosophy , physics , geodesy , epistemology , quantum mechanics , thermodynamics , geography