A Stochastic Model Predictive Control Strategy for Energy Management of Series PHEV

Splitting power is a tricky problem for series plug-in hybrid electric vehicles (SPHEVs) for the multi-working modes of powertrain and the hard prediction of future power request of the vehicle. In this work, we present a methodology for splitting power for a battery pack and an auxiliary power unit (APU) in SPHEVs. The key steps in this methodology are (a) developing a hybrid automaton (HA) model to capture the power flows among the battery pack, the APU and a drive motor (b) forecasting a power request sequence through a Markov prediction model and the maximum likeli-hood estimation approach (c) formulating a constraint stochastic optimal control problem to minimize fuel consumption and at the same time guarantee the dynamic performance of the vehicle (d) solving the optimal control problem using the model predictive control technique and the YALMIP toolbox. Our simulation experimental results show that with our stochastic model predictive control strategy a series plug-in hybrid electric vehicle can save 1.544 L gasoline per 100 kilometers compared to another existing power splitting strategy.

[1]  M. Zefran,et al.  Hybrid model predictive control tracking of a sawtooth driving profile for an HEV , 2008, 2008 American Control Conference.

[2]  Ali Emadi,et al.  Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[3]  Stefano Di Cairano,et al.  MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle , 2012, IEEE Transactions on Control Systems Technology.

[4]  G. Rizzoni,et al.  Effects of different PHEV control strategies on vehicle performance , 2009, 2009 American Control Conference.

[5]  Ilya V. Kolmanovsky,et al.  Predictive energy management of a power-split hybrid electric vehicle , 2009, 2009 American Control Conference.

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

[7]  Chunting Chris Mi,et al.  Charge-Depleting Control Strategies and Fuel Optimization of Blended-Mode Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[8]  Sayan Mitra,et al.  Synthesis and verification of motor-transmission shift controller for electric vehicles , 2014, 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[9]  H. A. Borhan,et al.  Model predictive control of a power-split Hybrid Electric Vehicle with combined battery and ultracapacitor energy storage , 2010, Proceedings of the 2010 American Control Conference.

[10]  F. R. Salmasi,et al.  Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends , 2007, IEEE Transactions on Vehicular Technology.

[11]  G. Rizzoni,et al.  Toward a framework for the hybrid control of a multi-mode hybrid-electric driveline , 2006, 2006 American Control Conference.

[12]  Alberto Bemporad,et al.  Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management , 2009, HSCC.

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

[14]  S.S. Williamson,et al.  Electric Drive Train Efficiency Analysis Based on Varied Energy Storage System Usage for Plug-In Hybrid Electric Vehicle Applications , 2007, 2007 IEEE Power Electronics Specialists Conference.

[15]  G Ripaccioli,et al.  A stochastic model predictive control approach for series hybrid electric vehicle power management , 2010, Proceedings of the 2010 American Control Conference.

[16]  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).

[17]  Alberto Bemporad,et al.  Scenario-based model predictive control of stochastic constrained linear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[18]  Stephen P. Boyd,et al.  Fast Model Predictive Control Using Online Optimization , 2010, IEEE Transactions on Control Systems Technology.

[19]  Hosam K. Fathy,et al.  A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles , 2008 .

[20]  Narayan C. Kar,et al.  Advanced design approach of power split device of plug-in hybrid electric vehicles using Dynamic Programming , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.