Title :
Rule-based supervisory control of split-parallel hybrid electric vehicle
Author :
Anbaran, S.A. ; Idris, N.R.N. ; Jannati, M. ; Aziz, M.J. ; Alsofyani, I.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia (UTM), Skudai, Malaysia
Abstract :
Hybrid electric vehicles (HEVs) have been a hot topic of research over recent years due to their features whereby make them a feasible solution to tackle concerns regarding to global warming. HEVs powertrain control plays an important role to accomplish control objectives such as low emission and good vehicle performance. This paper presents a system-level simulation and rule-based supervisory control strategy of a Split-Parallel Hybrid electric vehicle (SPHEV) which can be regarded as Parallel-HEV powertrain family. Advance vehicle Simulator (ADVISOR) is used to determine the sizing and ratings of key components of SPHEV driveline to satisfy specific performance constraints. Then physical model of the vehicle of interest is developed and simulated in Matlab/Simscape environment. Subsequently, simulation results are presented and discussed in terms of their effectiveness and accuracy.
Keywords :
control engineering computing; hybrid electric vehicles; knowledge based systems; mechanical engineering computing; power engineering computing; power transmission (mechanical); ADVISOR; HEV powertrain control; Matlab environment; SPHEV; Simscape environment; advance vehicle simulator; global warming; parallel-HEV powertrain family; performance constraints; rule-based supervisory control strategy; split-parallel hybrid electric vehicle; system-level simulation; Batteries; Electric motors; Energy management; Hybrid electric vehicles; Mathematical model; Mechanical power transmission; ADVISOR; Physical modelling; Powertrain; Split-Parallel Hybrid Electric Vehicle;
Conference_Titel :
Energy Conversion (CENCON), 2014 IEEE Conference on
Conference_Location :
Johor Bahru
DOI :
10.1109/CENCON.2014.6967468
