Multi-Objective Supervisory Controller for Hybrid Electric Vehicles

In this article, we address the problem of energy management control design in hybrid electric vehicles (HEVs) to achieve minimum fuel consumption while optimally limiting battery degradation. We use Pontryagin’s minimum principle (PMP) to solve the optimal control problem. To the end of controlling battery aging to guarantee battery performances over 150,000 miles, a battery capacity loss reference trajectory is defined and a battery aging model is used by the optimizer. The resulting optimal supervisory control strategy is able to regulate both state of charge and capacity loss to their reference values. Simulation results conducted on a pre-transmission HEV show that the battery capacity loss can be regulated to achieve the long-term objective without sacrificing much fuel economy.

[1]  Simona Onori Model-Based Optimal Energy Management Strategies for Hybrid Electric Vehicles , 2014 .

[2]  Sean R Eddy,et al.  What is dynamic programming? , 2004, Nature Biotechnology.

[3]  Simona Onori,et al.  ECMS as a realization of Pontryagin's minimum principle for HEV control , 2009, 2009 American Control Conference.

[4]  P. P. J. van den Bosch,et al.  Online Energy Management for Hybrid Electric Vehicles , 2008, IEEE Transactions on Vehicular Technology.

[5]  Lino Guzzella,et al.  Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles , 2012, IEEE Transactions on Vehicular Technology.

[6]  R Bellman,et al.  DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS. , 1956, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Simona Onori,et al.  Hybrid Electric Vehicles , 2016 .

[8]  Anant Vyas,et al.  Trade-off between PHEV fuel efficiency and estimated battery cycle life with cost analysis , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[9]  Simona Onori,et al.  A control-oriented cycle-life model for hybrid electric vehicle lithium- ion batteries , 2016 .

[10]  M. Verbrugge,et al.  Cycle-life model for graphite-LiFePO 4 cells , 2011 .

[11]  Simona Onori,et al.  Optimal energy management of HEVs with consideration of battery aging , 2014, 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific).

[12]  J. Bernard,et al.  Calendar aging of commercial graphite/LiFePO4 cell - Predicting capacity fade under time dependent storage conditions , 2014 .

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

[14]  Roberto Cipollone,et al.  Analysis of the potential performance of a combined hybrid vehicle with optimal supervisory control , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[15]  G. Rizzoni,et al.  Supervisory control for NO/sub x/ reduction of an HEV with a mixed-mode HCCI/CIDI engine , 2005, Proceedings of the 2005, American Control Conference, 2005..

[16]  Simona Onori,et al.  Optimal energy management of hybrid electric vehicles including battery aging , 2011, Proceedings of the 2011 American Control Conference.

[17]  M. Broussely,et al.  Aging mechanism in Li ion cells and calendar life predictions , 2001 .

[18]  Simona Onori,et al.  Battery Health Management System for Automotive Applications: A retroactivity-based aging propagation study , 2015, 2015 American Control Conference (ACC).

[19]  Simona Onori,et al.  Modelling and control of a brake system for an extended range electric vehicle equipped with axle motors , 2012 .

[20]  Lino Guzzella,et al.  Vehicle Propulsion Systems: Introduction to Modeling and Optimization , 2005 .

[21]  Jtba John Kessels,et al.  Cost-effective energy management for hybrid electric heavy-duty truck including battery aging , 2013 .

[22]  Simona Onori,et al.  An experimentally validated capacity degradation model for Li-ion batteries in PHEVs applications , 2012 .

[23]  Simona Onori,et al.  A new life estimation method for lithium-ion batteries in plug-in hybrid electric vehicles applications , 2012 .

[24]  C. C. Chan,et al.  The State of the Art of Electric, Hybrid, and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.

[25]  Hosam K. Fathy,et al.  Battery-Health Conscious Power Management for Plug-In Hybrid Electric Vehicles via Stochastic Control , 2010 .

[26]  Simona Onori,et al.  Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes , 2015 .