Low-Cost Pathway to Ultra Efficient City Car: Series Hydraulic Hybrid System with Optimized Superv

A series hydraulic hybrid concept (SHHV) has been explored as a potential pathway to an ultra-efficient city vehicle. Intended markets would be congested metropolitan areas, particularly in developing countries. The target fuel economy was ~100 mpg or 2.4 l/100km in city driving. Such an ambitious target requires multiple measures, i.e. low mass, favorable aerodynamics and ultra-efficient powertrain. The series hydraulic hybrid powertrain has been designed and analyzed for the selected light and aerodynamic platform with the expectation that (i) series configuration will maximize opportunities for regeneration and optimization of engine operation, (ii) inherent high power density of hydraulic propulsion and storage components will yield small, lowcost components, and (iii) high efficiency and high power limits for accumulator charging/discharging will enable very effective regeneration. The simulation study focused on the SHHV supervisory control development, to address the challenge of the low storage capacity of the accumulator. Two approaches were pursued, i.e. the thermostatic SOC control, and Stochastic Dynamic Programming for horizon optimization. The stochastic dynamic programming was setup using a set of naturalistic driving schedules, recorded in normal traffic. The analysis included additional degree of freedom, as the engine power demand was split into two variables, namely engine torque and speed. The results represent a significant departure from the conventional wisdom of operating the engine near its “sweet spot” and indicate what is preferred from the system stand-point. Predicted fuel economy over the EPA city schedule is ~93 mpg with engine idling, and ~110 mpg with engine shutdowns.

[1]  M. Salman,et al.  A rule-based energy management strategy for a series hybrid vehicle , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[2]  Young Jae Kim,et al.  Integrated Modeling and Hardware-in-the-Loop Study for Systematic Evaluation of Hydraulic Hybrid Propulsion Options. , 2008 .

[3]  Zoran Filipi,et al.  Characterizing naturalistic driving patterns for Plug-in Hybrid Electric Vehicle analysis , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[4]  A. Pourmovahed,et al.  Modeling of a Hydraulic Energy Regeneration System: Part I—Analytical Treatment , 1992 .

[5]  R. P. Jones,et al.  Energy management in an automotive electric/heat engine hybrid powertrain using fuzzy decision making , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[6]  Peter A. J. Achten The Hydrid Transmission , 2007 .

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

[8]  Martin L. Puterman,et al.  Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .

[9]  Kari T. Koskinen,et al.  Proceedings of the Tenth Scandinavian International Conference on Fluid Power, May 21-23, 2007, Tampere, Finland, SICFP'07 , 2007 .

[10]  Zoran Filipi,et al.  Combined optimisation of design and power management of the hydraulic hybrid propulsion system for the 6 × 6 medium truck , 2004 .

[11]  Zoran Filipi,et al.  Hydraulic Hybrid Propulsion for Heavy Vehicles: Combining the Simulation and Engine-In-the-Loop Techniques to Maximize the Fuel Economy and Emission Benefits , 2010 .

[12]  Zoran Filipi,et al.  Optimal Power Management for a Hydraulic Hybrid Delivery Truck , 2004 .

[13]  Michael Duoba,et al.  Characterization and Comparison of Two Hybrid Electric Vehicles (HEVs) - Honda Insight and Toyota Prius , 2001 .

[14]  Zoran Filipi,et al.  Fuel Cell APU for Silent Watch and Mild Electrification of a Medium Tactical Truck , 2004 .

[15]  Rosemary Chapin,et al.  Changing the Paradigm , 2002 .

[16]  Huei Peng,et al.  Control optimization for a power-split hybrid vehicle , 2006, 2006 American Control Conference.

[17]  A. Pourmovahed,et al.  An Algorithm for Computing Nonflow Gas Processes in Gas Springs and Hydropneumatic Accumulators , 1985 .

[18]  L. Guzzella,et al.  Control of hybrid electric vehicles , 2007, IEEE Control Systems.

[19]  Zoran Filipi,et al.  Engine-in-the-loop study of the stochastic dynamic programming optimal control design for a hybrid electric HMMWV , 2008 .

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

[21]  Zoran Filipi,et al.  Integrated, Feed-Forward Hybrid Electric Vehicle Simulation in SIMULINK and its Use for Power Management Studies , 2001 .

[22]  Thierry Marie Guerra,et al.  Simulation and assessment of power control strategies for a parallel hybrid car , 2000 .

[23]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[24]  A. Pourmovahed,et al.  Modeling of a Hydraulic Energy Regeneration System: Part II—Experimental Program , 1992 .

[25]  Jordi Riera,et al.  Energy management strategies for hybrid electric vehicles , 2003, IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03..

[26]  Zoran Filipi,et al.  Modelling and control of a medium-duty hybrid electric truck , 2004 .

[27]  Zoran Filipi,et al.  Simulation Study of a Series Hydraulic Hybrid Propulsion System for a Light Truck , 2007 .