Recent advances on the energy management of a Hybrid Electric vehicle

This paper presents new innovative subsystems of the ER11 prototype urban vehicle which is powered by hydrogen fuel cells and ultra-capacitors. The subsystems described here are: 1) the energy management system, which is responsible for the optimization of the fuel efficiency and the increased mileage of the vehicle, 2) the driver's monitoring and control panel and 3) the power transmission system, which offers the possibility of continuous change of gear. The powertrain of the test-bed vehicle consists of an electric motor, a fuel (H2) cell system, an ultra-capacitor bank and a DC/DC converter. Testing verified that the proposed energy management system is benefitted by the variable transmission of power leading to less fuel consumption.

[1]  Giorgio Rizzoni,et al.  A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management , 2005, CDC 2005.

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

[3]  S. R. Cikanek,et al.  Regenerative braking system for a hybrid electric vehicle , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[5]  Nikos C. Tsourveloudis,et al.  Modeling and control of the energy consumption of a prototype urban vehicle , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

[6]  Hamid A. Toliyat,et al.  Propulsion system design of electric and hybrid vehicles , 1997, IEEE Trans. Ind. Electron..

[7]  Ali Emadi,et al.  Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design , 2009 .

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

[9]  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.

[10]  S. Barsali,et al.  A control strategy to minimize fuel consumption of series hybrid electric vehicles , 2004, IEEE Transactions on Energy Conversion.

[11]  Huei Peng,et al.  A stochastic control strategy for hybrid electric vehicles , 2004, Proceedings of the 2004 American Control Conference.

[12]  Hao Wu,et al.  A four-step method to design an energy management strategy for hybrid vehicles , 2004, Proceedings of the 2004 American Control Conference.

[13]  Mortaza Aliasghary,et al.  A 19MFLIPS CMOS fuzzy controller to control continuously variable transmission ratio , 2011, 2011 7th Conference on Ph.D. Research in Microelectronics and Electronics.

[14]  Keith Wipke,et al.  HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions , 2000 .

[15]  G. Spiazzi,et al.  Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System , 2008, IEEE Transactions on Power Electronics.

[16]  Yuan Zhu,et al.  FOUR-STEP METHOD TO DESIGN THE ENERGY MANAGEMENT STRATEGY FOR HYBRID VEHICLES , 2004 .