Depending on the structure of powertrain components, modern hybrid electric vehicles (HEVs) are usually categorized into different
types, which influence the design and performance of energy management control strategies. This paper investigates the impact of
non-plug-in HEV powertrain architectures on the fuel economy, where Dynamic Programming is used to find the optimal power
split between the powertrain energy sources. The series and three parallel architectures that include through-the-road, pre- and posttransmission parallel, all with properly sized powertrain components, are compared. Three human-driver speed profiles collected
respectively from urban, rural, and highway driving conditions are employed for the assessment. The comparative results demonstrate
the energy saving potential of different types of HEVs and provide further insight into the practical choice of the hybrid powertrain
architectures
