Paper Info
Title
Power Smoothing Energy Management and Its Application to a Series Hybrid Powertrain.
Abstract
Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the engine is mechanically decoupled from the traction wheels, for a given power request the steady-state engine operating point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different operating points by using the battery to smoothen the engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
Year
DOI
Venue
2013
10.1109/TCST.2012.2218656
IEEE Trans. Contr. Sys. Techn.
Keywords
Field
DocType
Power smoothing,Hybrid electric vehicles,Energy management,Predictive control,Transient analysis,Mechanical power transmission
Powertrain,Energy management,Automotive engineering,Energy conservation,Operating point,Electric vehicle,Control theory,Model predictive control,Control engineering,Engine control unit,Fuel efficiency,Mathematics
Journal
Volume
Issue
ISSN
21
6
1063-6536
Citations 
PageRank 
References 
6
0.55
9
Authors
6
Name
Order
Citations
PageRank
Stefano Di Cairano130944.69
Wei Liang2111.15
Ilya V. Kolmanovsky369096.32
Ming L. Kuang429326.54
Anthony M. Phillips536124.46
S. Cairano624926.23