Title: Modelling and energy management of an HCCI-based powertrain for series hybrid and extended range electric vehicles
Authors: Ali Solouk; Mahdi Shahbakhti
Addresses: Mechanical Engineering-Engineering Mechanics Department, Michigan Technological University, Houghton, MI, USA ' Mechanical Engineering-Engineering Mechanics Department, Michigan Technological University, Houghton, MI, USA
Abstract: Low temperature combustion (LTC) engines show promise for fuel economy improvement, however, these engines suffer from limited operating range. In this study, a specific type of LTC engine, known as homogeneous charge compression ignition (HCCI), is used in a series hybrid and extended range electric vehicle (E-REV) powertrain to investigate the ultimate fuel saving of a purely dedicated HCCI mode powertrain. Three types of energy management control (EMC) strategies including rule-based, dynamic programing (DP), and model predictive control (MPC) are designed and implemented. The simulation results show 17.7% fuel economy improvement in series HEV and 18.0% fuel economy improvement in E-REV compared to a conventional HEV using an SI engine in urban dynamometer driving schedule (UDDS) driving cycle. In addition, simulation results show that the HCCI fuel economy improvement increases in the driving cycles with greater base average power.
Keywords: homogeneous charge compression ignition; HCCI; hybrid electric vehicle; HEV; extended range electric vehicle; E-REV; energy management control; EMC; model predictive control; dynamic programming; fuel economy; driving cycle.
International Journal of Powertrains, 2017 Vol.6 No.3, pp.226 - 258
Received: 11 Apr 2015
Accepted: 18 Oct 2015
Published online: 30 Oct 2017 *