TY - JOUR
T1 - Maximizing overall efficiency strategy (MOES) for power split control of a parallel hybrid electric vehicle
AU - Sezer, Volkan
AU - Uygan, Ismail Meriç Can
AU - Hartavi, Ahu Ece
AU - Güvenç, Levent
AU - Acarman, Tankut
AU - Kiliç, Varlik
AU - Yildirim, Murat
PY - 2008
Y1 - 2008
N2 - In a Hybrid Electric Vehicle (HEV), the main aim is to decrease the fuel consumption and emissions without significant loss of driving performance. Maximizing Overall Efficiency Strategy (MOES) algorithm, presented here, distributes the power demand among the available paths to the wheels to improve fuel economy. In MOES, the vehicle is considered as a system whose input and output are power capability of consumed fuel and actual power transferred to the road, respectively. The aim of the strategy is to maximize the overall efficiency of the vehicle determined as the ratio of output power to input power. The control algorithm and driver model were prepared within Simulink and used to drive the Carmaker model of the vehicle which is a Ford Transit hybrid electric research prototype van. Simulations were carried out in 3 modes of the vehicle; conventional mode, regenerative braking only mode and full MOES mode to analyze the role of optimization better. The fuel economy which was achieved with MOES was 38.76% better than that of the conventional mode of the vehicle. All the operating points and efficiency values of the components are displayed in the simulation results.
AB - In a Hybrid Electric Vehicle (HEV), the main aim is to decrease the fuel consumption and emissions without significant loss of driving performance. Maximizing Overall Efficiency Strategy (MOES) algorithm, presented here, distributes the power demand among the available paths to the wheels to improve fuel economy. In MOES, the vehicle is considered as a system whose input and output are power capability of consumed fuel and actual power transferred to the road, respectively. The aim of the strategy is to maximize the overall efficiency of the vehicle determined as the ratio of output power to input power. The control algorithm and driver model were prepared within Simulink and used to drive the Carmaker model of the vehicle which is a Ford Transit hybrid electric research prototype van. Simulations were carried out in 3 modes of the vehicle; conventional mode, regenerative braking only mode and full MOES mode to analyze the role of optimization better. The fuel economy which was achieved with MOES was 38.76% better than that of the conventional mode of the vehicle. All the operating points and efficiency values of the components are displayed in the simulation results.
UR - http://www.scopus.com/inward/record.url?scp=85072455425&partnerID=8YFLogxK
U2 - 10.4271/2008-01-2682
DO - 10.4271/2008-01-2682
M3 - Conference article
AN - SCOPUS:85072455425
SN - 0148-7191
JO - SAE Technical Papers
JF - SAE Technical Papers
T2 - Commercial Vehicle Engineering Congress and Exhibition
Y2 - 7 October 2008 through 9 October 2008
ER -
