Dimensioning and control of a thermally constrained double buffer plug-in HEV powertrain

This paper describes modeling steps to enable fast evaluation of performance and cost effectiveness of a plug-in hybrid electric vehicle. The paper also shows how convex optimization can be used to dimension the vehicle powertrain while simultaneously controlling the energy buffer power. The method allows for optimal control of powertrain components that are subject to thermal constraints. The studied vehicle is a city bus driven along a perfectly known bus line. The bus is equipped with an engine-generator unit and an energy buffer consisting of an ultracapacitor and a battery. The engine generator unit and the energy buffer are modeled with quadratic power losses and are sized for two different charging scenarios. In the first scenario the bus can charge for a couple of seconds while standing still at bus stops, and in the second scenario the bus can charge for a couple of minutes before starting the route. In both scenarios, the ultracapacitor temperature is kept below a certain limit.

[1]  Jonas Fredriksson,et al.  A methodology and a tool for evaluating hybrid electric powertrain configurations , 2011 .

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

[3]  T. C. Moore HEV control strategy: implications of performance criteria, system configuration and design, and component selection , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[4]  Olle Sundström,et al.  Torque-Assist Hybrid Electric Powertrain Sizing: From Optimal Control Towards a Sizing Law , 2010, IEEE Transactions on Control Systems Technology.

[5]  Bo Egardt,et al.  Predictive energy management of a 4QT series-parallel hybrid electric bus , 2009 .

[6]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

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

[8]  U Zoelch,et al.  Dynamic optimization method for design and rating of the components of a hybrid vehicle , 2014 .

[9]  Michael Johansson,et al.  Feasability study of dual-mode buses in Gothenburg´s public transport , 2011 .

[10]  Andrew Burke,et al.  Ultracapacitor technologies and application in hybrid and electric vehicles , 2009 .

[11]  Huei Peng,et al.  Power management and design optimization of fuel cell/battery hybrid vehicles , 2007 .

[12]  Jonas Sjöberg,et al.  Component sizing of a plug-in hybrid electric powertrain via convex optimization , 2012 .

[13]  Nikolce Murgovski,et al.  Convex modeling of energy buffers in power control applications , 2012 .

[14]  Dimitri Peaucelle,et al.  SEDUMI INTERFACE 1.02: a tool for solving LMI problems with SEDUMI , 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

[15]  Hosam K. Fathy,et al.  Tradeoffs between battery energy capacity and stochastic optimal power management in plug-in hybrid electric vehicles , 2010 .