Plug-in HEV with CVT: configuration, control, and its concurrent multi-objective optimization by evolutionary algorithm

Plug-in Hybrid Electric Vehicle (Plug-in HEV) has dramatic improvements in fuel economy and emission reduction. It is most important to decide its optimal configuration, energy management strategy, powertrain sizes, and control logic parameters. For multi-objective optimization, we present a concurrent optimization methodology based on an optimal Plug-in HEV powertrain configuration with continuous variable transmission (CVT). The novelty is using evolutionary algorithm in conjunction with an instantaneous optimal energy management strategy. Simulation results indicate the proposed method can significantly reduce fuel consumption and emissions by simultaneously optimizing the propulsion system parameters as well as the energy control parameters.

[1]  Amir Poursamad,et al.  Application of genetic algorithm for simultaneous optimisation of HEV component sizing and control strategy , 2006 .

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

[3]  S. Fish,et al.  Simulation-based optimal sizing of hybrid electric vehicle components for specific combat missions , 2001 .

[4]  Liang Chu,et al.  Study on the Parametric Optimization for a Parallel Hybrid Electric Vehicle Power Train , 2000 .

[5]  Andrew A. Frank,et al.  Neural network control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle , 2005 .

[6]  R. Sacks,et al.  Design of an adaptive control system for a hybrid electric vehicle , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[7]  G. Dimitrakopoulos,et al.  Intelligent Transportation Systems , 2010, IEEE Vehicular Technology Magazine.

[8]  Tony Markel,et al.  Optimizing Energy Management Strategy and Degree of Hybridization for a Hydrogen Fuel Cell SUV , 2001 .

[9]  B. Asaei,et al.  Optimum Design of Series Hybrid Electric Buses by Genetic Algorithm , 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[10]  Philip T. Krein,et al.  Optimal sizing and selection of hybrid electric vehicle components , 1993, Proceedings of IEEE Power Electronics Specialist Conference - PESC '93.

[11]  Andrew A. Frank,et al.  Design and Development of the UC Davis FutureTruck , 2002 .

[12]  Edward Brailsford Bright,et al.  THE INSTITUTION OF ELECTRICAL ENGINEERS , 2012 .

[13]  John M. Miller,et al.  Propulsion Systems for Hybrid Vehicles , 2003 .

[14]  F.G. Harmon,et al.  Application of a CMAC neural network to the control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[15]  Panos Y. Papalambros,et al.  Optimal design of automotive hybrid powertrain systems , 1999, Proceedings First International Symposium on Environmentally Conscious Design and Inverse Manufacturing.

[16]  John B. Heywood,et al.  Development and Use of a Computer Simulation of the Turbocompounded Diesel System for Engine Performance and Component Heat Transfer Studies , 1986 .

[17]  Thierry-Marie Guerra,et al.  Control of a parallel hybrid powertrain: optimal control , 2004, IEEE Transactions on Vehicular Technology.

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

[19]  Reza Langari,et al.  Intelligent energy management for hybrid vehicles via drive cycle pattern analysis and fuzzy logic torque distribution , 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

[20]  Hamid A. Toliyat,et al.  Propulsion system design of electric and hybrid vehicles , 1997, IEEE Trans. Ind. Electron..

[21]  Mehrdad Ehsani,et al.  Designing parallel hybrid electric vehicles using V-ELPH 2.01 , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[22]  John J. Murray,et al.  Adaptive control of a hybrid electric vehicle , 2002, IEEE Trans. Intell. Transp. Syst..