Trip Based Near Globally Optimal Power Management of Plug-in Hybrid Electric Vehicles Using Gas-Kinetic Traffic Flow Model

Abstract The plug-in hybrid electric vehicle (PHEV), utilizing more battery power, has become the next-generation HEV with great promise of higher fuel economy. Global optimization charge-depletion power management would be desirable. However, this has so far been hampered due the a priori nature of the trip information and the almost prohibitive computational cost of global optimization techniques such as dynamic programming (DP). This situation can be changed by the current advancement of Intelligent Transportation Systems (ITS) based on the use of on-board GPS, GIS, real-time and historical traffic flow data and advanced traffic flow modeling techniques. In this paper, gas-kinetic base trip modeling approach was used for the highway portion trip and for the local road portion the traffic light sequences throughout the trip will be synchronized with the vehicle operation. Several trip models approaches were studied for a specific case. For DP based charge-depletion control of PHEV, the SOC is forced to drop to a specific terminal value at the final time of the trip. Simulation study has been performed on a hybrid SUV model from ADVISOR, for the different trip modeling approaches. The simulation results demonstrated significant improvement in fuel economy using DP based charge-depletion control compared to rule based control. The gas-kinetic based trip model for the highway portion can describe the dynamics of the traffic flow on highway with on/off ramps which may be missed by the model which used only the main road detectors data. The modeling approach shows a step to the more accurate trip model prediction which can be used for the power management of PHEV.

[1]  Srdjan M. Lukic,et al.  Topological overview of hybrid electric and fuel cell vehicular power system architectures and configurations , 2005, IEEE Transactions on Vehicular Technology.

[2]  Yaoyu Li,et al.  Optimal Power Management of Plug-In Hybrid Electric Vehicles With Trip Modeling , 2007 .

[3]  Mutasim A. Salman,et al.  Fuzzy logic control for parallel hybrid vehicles , 2002, IEEE Trans. Control. Syst. Technol..

[4]  Ray Bert.  Book Review: \IInternet GIS: Distributed Geographic Information Systems for the Internet and Wireless Networks\N by Zhong-Ren Peng and Ming-Hsiang Tsou. Hoboken, New Jersey: John Wiley & Sons, Inc., 2003 , 2003 .

[5]  Wang,et al.  Review of road traffic control strategies , 2003, Proceedings of the IEEE.

[6]  Reza Langari,et al.  Intelligent energy management agent for a parallel hybrid vehicle-part I: system architecture and design of the driving situation identification process , 2005, IEEE Transactions on Vehicular Technology.

[7]  Bob McQueen,et al.  Intelligent transportation systems architectures , 1999 .

[8]  Shivanand Balram,et al.  Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks , 2004 .

[9]  H. J. Van Zuylen,et al.  Part 2: Car-Following Models: Continuum Traffic Model for Freeway with On- and Off-Ramp to Explain Different Traffic-Congested States , 2006 .

[10]  Giorgio Rizzoni,et al.  Optimal energy management in series hybrid electric vehicles , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[11]  Lino Guzzella,et al.  Optimal control of parallel hybrid electric vehicles , 2004, IEEE Transactions on Control Systems Technology.

[12]  Yaoyu Li,et al.  Trip Based Power Management of Plug-in Hybrid Electric Vehicle with Two-Scale Dynamic Programming , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[13]  Guillermo R. Bossio,et al.  Optimization of power management in an hybrid electric vehicle using dynamic programming , 2006, Math. Comput. Simul..

[14]  Reza Langari,et al.  Intelligent energy management agent for a parallel hybrid vehicle-part II: torque distribution, charge sustenance strategies, and performance results , 2005, IEEE Transactions on Vehicular Technology.

[15]  M. Gokasan,et al.  Sliding mode based powertrain control for efficiency improvement in series hybrid-electric vehicles , 2006, IEEE Transactions on Power Electronics.

[16]  Giorgio Rizzoni,et al.  A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[17]  Kathleen Ellen Bailey,et al.  Dynamic modeling and control of hybrid electric vehicle powertrain systems , 1998 .

[18]  M J Lighthill,et al.  On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[19]  Dirk Helbing,et al.  Numerical simulation of macroscopic traffic equations , 1999, Comput. Sci. Eng..

[20]  C. C. Chan,et al.  The state of the art of electric and hybrid vehicles , 2002, Proc. IEEE.

[21]  Yaoyu Li,et al.  Optimal power management of plug-in HEV with intelligent transportation system , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.

[22]  B. Kerner,et al.  EXPERIMENTAL PROPERTIES OF PHASE TRANSITIONS IN TRAFFIC FLOW , 1997 .

[23]  D. Helbing,et al.  Gas-Kinetic-Based Traffic Model Explaining Observed Hysteretic Phase Transition , 1998, cond-mat/9810277.

[24]  Max Åhman,et al.  Assessing the future competitiveness of alternative powertrains , 2003 .

[25]  Dirk Helbing.  Derivation and empirical validation of a refined traffic flow model , 1996 .

[26]  F. Freschi,et al.  Optimal energy management , 2009, IEEE Industry Applications Magazine.

[27]  Thierry-Marie Guerra,et al.  Control of a parallel hybrid powertrain: optimal control , 2004, IEEE Transactions on Vehicular Technology.

[28]  W. P. M. H. Heemels,et al.  Energy management strategies for vehicular electric power systems , 2005, IEEE Transactions on Vehicular Technology.

[29]  A. Frank,et al.  Hybrid vehicles gain traction. , 2006, Scientific American.

[30]  Yeong-Il Park,et al.  Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition , 2002 .

[31]  Zhong-ren Peng,et al.  Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks , 2003 .

[32]  Juan de Dios Ortúzar,et al.  Modelling Transport, 2nd Edition , 1990 .

[33]  Gregory N. Washington,et al.  Mechatronic design and control of hybrid electric vehicles , 2000 .

[34]  Erich Novak,et al.  Special issue , 2006, J. Complex..

[35]  Huei Peng,et al.  Power management strategy for a parallel hybrid electric truck , 2003, IEEE Trans. Control. Syst. Technol..