Parametric investigation of a hybrid vehicle's achievable fuel economy with optimization based energy management strategy

  • Amini, Ali (Department of Mechanical Engineering, Ataturk University) ;
  • Baslamisli, S. Caglar (Department of Mechanical Engineering, Hacettepe University) ;
  • Ince, Bayramcan (Department of Mechanical Engineering, Hacettepe University) ;
  • Koprubasi, Kerem (Ford Otosan A.S.) ;
  • Solmaz, Selim (Department of Mechatronics Engineering, Near East University)
  • Received : 2016.12.01
  • Accepted : 2018.01.02
  • Published : 2018.03.31


The hybrid electric powertrain is a robust solution that allows for major improvements in both fuel economy and emission reduction. In the present study, a through-the-road hybrid vehicle model with an electric motor driving the rear axle and an Internal Combustion Engine (ICE) driving the front axle has been constructed. We then present a systematic method for the determination of a real time applicable optimal Energy Management Strategy (EMS) for a hybrid road vehicle. More precisely, we compare the performance of rule-based EMS strategies to an optimization-based strategy, namely ECMS (Equivalent Consumption Minimization Strategy). The comparison is conducted in parallel with a parameterization of the size of the internal combustion engine and the implementation of a Continuously Variable Transmission (CVT) that allows following the line of best fuel economy. For the FTP-75 driving cycle, the constrained engine On-off control algorithm is shown to offer a 28% improvement potential of fuel consumption compared to the conventional internal combustion engine while the ECMS strategy achieves an improved potential of nearly 33%.



Supported by : Scientific and Technological Research Council of Turkey