Open AccessOptimal control theory solutions for investigation of a hybrid electric vehicle’s powertrain
Author(s) -
Ilia Kulikov
Publication year - 2012
Publication title -
izvestiâ mgtu "mami"
Language(s) - English
Resource type - Journals
eISSN - 2949-1428
pISSN - 2074-0530
DOI - 10.17816/2074-0530-68499
Subject(s) - powertrain , electric vehicle , automotive engineering , optimal control , computer science , section (typography) , control (management) , dynamic programming , energy (signal processing) , mathematical optimization , engineering , mathematics , algorithm , torque , power (physics) , physics , artificial intelligence , statistics , quantum mechanics , thermodynamics , operating system
The paper gives a theoretical background of the development a control strategy for a hybrid electric vehicle (HEV). Properties of a HEV that define its fuel economy and pollutant emissions are briefly described. Analysis of energy flows in a HEV’s powertrain is carried out. Based on this analysis a way to optimize energy flows is proposed. Said way implies a method of optimal control theory, namely dynamic programming, to be utilized. HEV’s model implemented in a DP-based routine is presented. Some theoretical background about DP is given as well. The most interesting results of DP-investigations are presented in the next section. The last section of the paper contains some conclusion remarks.