Stochastic Fuel Efficient Optimal Control of Vehicle Speed

Stochastic dynamic programming (SDP) is applied to generate control policies that adjust vehicle speed to improve average fuel economy without degrading, significantly, the average travel speed. The SDP policies take into account statistical patterns in traffic speed and road topography. Specific problems of fuel efficient in-traffic driving and fuel efficient lead vehicle following are considered, and it is shown how these problems can be treated within an SDP framework. Simulation results are summarized to quantify fuel economy improvements, and experimental results are reported for the fuel efficient lead vehicle following case. The properties of vehicle speed trajectories induced by SDP policies are examined.

[1]  J. Murata,et al.  Development of ecological driving system using model predictive control , 2009, 2009 ICCAS-SICE.

[2]  Huei Peng,et al.  Optimal Adaptive Cruise Control with Guaranteed String Stability , 1999 .

[3]  Erik Hellström,et al.  Design of an efficient algorithm for fuel-optimal look-ahead control , 2010 .

[4]  G Naus,et al.  Cooperative adaptive cruise control, design and experiments , 2010, Proceedings of the 2010 American Control Conference.

[5]  Luigi del Re,et al.  A model predictive Cooperative Adaptive Cruise Control approach , 2013, 2013 American Control Conference.

[6]  Dr.-Ing. habil. Ansgar Trächtler,et al.  Multi-objective Optimization of a Vehicle Velocity Profile by Means of Dynamic Programming , 2010 .

[7]  Dimitar Filev,et al.  Stochastic optimal control of systems with soft constraints and opportunities for automotive applications , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[8]  Jianqiang Wang,et al.  Model Predictive Multi-Objective Vehicular Adaptive Cruise Control , 2011, IEEE Transactions on Control Systems Technology.

[9]  Dimitar Filev,et al.  Stochastic dynamic programming control policies for fuel efficient vehicle following , 2013, 2013 American Control Conference.

[10]  Ilya Kolmanovsky,et al.  Terrain and Traffic Optimized Vehicle Speed Control , 2010 .

[11]  Lino Guzzella,et al.  Fuel-Optimal Control of Rendezvous Maneuvers for Passenger Cars (Treibstoffoptimale Annäherung von Straßenfahrzeugen) , 2005, Autom..

[12]  G. Ripaccioli,et al.  Stochastic model predictive control with driver behavior learning for improved powertrain control , 2010, 49th IEEE Conference on Decision and Control (CDC).

[13]  E. Altman.  Constrained Markov Decision Processes , 1999 .

[14]  Dimitar Filev,et al.  Modeling of vehicle driving conditions using transition probability models , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[15]  Dimitar Filev,et al.  Evolving Markov chain models of driving conditions using onboard learning , 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

[16]  Ilya Kolmanovsky,et al.  Markov chain modeling approaches for on board applications , 2010, Proceedings of the 2010 American Control Conference.

[17]  Elmer G. Gilbert,et al.  Vehicle cruise: Improved fuel economy by periodic control , 1976, Autom..

[18]  A P Stoicescu.  On fuel-optimal velocity control of a motor vehicle , 1995 .

[19]  Dimitar Filev,et al.  Stochastic dynamic programming control policies for fuel efficient in-traffic driving , 2012, 2012 American Control Conference (ACC).

[20]  Huei Peng,et al.  Methodology for assessing adaptive cruise control behavior , 2003, IEEE Trans. Intell. Transp. Syst..