Torque control strategy and optimization for fuel consumption and emission reduction in parallel hybrid electric vehicles

详细信息    查看全文

• 作者：Satoshi Kitayama ; Marina Saikyo ; Yui Nishio…
• 关键词：Hybrid electric vehicle ; Torque control strategy ; Multi ; objective optimization ; Sequential approximate optimization
• 刊名：Structural and Multidisciplinary Optimization
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：52
• 期：3
• 页码：595-611
• 全文大小：3,173 KB
• 参考文献：Baumann BM, Washington G, Glenn BC, Rizzoni G (2000) Mechatronics design and control of hybrid electric vehicles. IEEE/ASME Trans Mechatron 5(1):58鈥?2CrossRef
  Chau KT, Wong YS (2002) Overview of power management in hybrid electric vehicle. Energy Convers Manag 43:1953鈥?968CrossRef
  Delprat S, Lauber J, Guerra TM, Rimaux J (2004) Control of a parallel hybrid powertrain: optimal control. IEEE Trans Veh Technol 53(3):872鈥?81CrossRef
  Donald J, Schonlau M, Welch WJ (1998) Efficient global optimization of expensive black-box functions. J Glob Optim 13:455鈥?92MATH CrossRef
  Guemri M, Neffati A, Caux S, Ngueveu SU (2014) Management of distributed power in hybrid vehicles based on D.P. or Fuzzy logic. Optim Eng 15(4):993鈥?012MathSciNet CrossRef
  Hui S, Ji-hai J, Xin W (2009) Torque control strategy for a parallel hydraulic hybrid vehicle. J Terrramech 46:259鈥?65CrossRef
  Kheir NA, Salman MA, Schouten NJ (2004) Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic. Math Comput Simul 66:155鈥?72MATH MathSciNet CrossRef
  Kitayama S, Arakawa M, Yamazaki K (2011) Sequential approximate optimization using radial basis function network for engineering optimization. Optim Eng 12(4):535鈥?57MATH MathSciNet CrossRef
  Kitayma S, Srirat J, Arakawa M, Yamazaki K (2013) Sequential approximate multi-objective optimization using radial basis function network. Struct Multidiscip Optim 48(3):501鈥?15MathSciNet CrossRef
  Koot M, Kesseks JTBA (2005) Energy management strategies for vehicular electric power systems. IEEE Trans on Veh Technol 54(3):771鈥?82CrossRef
  Kum D, Peng H, Bucknor NK (2011) Supervisory control of parallel hybrid electric vehicles for fuel emission reduction. Trans ASME, J Dyn Syst, Meas, Control 133:061010-1鈥?61010-10CrossRef
  Lin CC, Peng H, Grizzle JW (2003) Power management strategy for a parallel hybrid electric truck. IEEE Trans Control Syst Technol 11(6):839鈥?49CrossRef
  Long VT, Nhan NV (2012) Bee-algorithm-based optimization of component size and control strategy parameters for parallel hybrid electric vehicle. Int J Automot Technol 13(7):1177鈥?183CrossRef
  Miettinen, K.M. (1998) Nonlinear Multiobjective Optimization, Kluwer Academic Publishers
  Montazeri-Gh M, Poursamad A, Ghalichi B (2006) Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicle. J Frankl Inst 343:420鈥?35MATH CrossRef
  Pei D, Leamy MJ (2013) Dynamic programming-informed equivalent cost minimization control strategy for hybrid-electric vehicle. Trans ASME, J Dyn Syst Meas Control 135:051013-1鈥?51013-12CrossRef
  Perez LV, Bossio GR, Moitre D, Garcia GO (2006) Optimization of power management in an hybrid electric vehicle using dynamic programming. Math Comput Simul 73:244鈥?54MATH MathSciNet CrossRef
  Schouten NJ, Salman MA, Kheir NA (2003) Energy management strategies for parallel hybrid vehicles using fuzzy logic. Control Eng Pract 11:171鈥?77CrossRef
  Sinoquet D, Rousseau G, Milhau Y (2011) Design optimization and optimal control for hybrid vehicles. Optim Eng 12:199鈥?13MATH MathSciNet CrossRef
  Wang L, Zhang Y, Yin C, Zhang H, Wang C (2012) Hardware-in-the-loop simulation for the design and verification of the control system of a series鈥損arallel hybrid electric city-bus. Simul Model Pract Theory 25:148鈥?62CrossRef
  Wu J, Zhang CH, Cui NX (2008) PSO algorithm-based parameter optimization for HEV powertrain and its control strategy. Int J Automot Technol 9(1):53鈥?9CrossRef
  Zhu Y, Chen Y, Wu Z, Wang A (2006) Optimization design of an energy management strategy for hybrid vehicle. Int J Altern Propuls 1(1):47鈥?2CrossRef
  
• 作者单位：Satoshi Kitayama (1)
  Marina Saikyo (2)
  Yui Nishio (3)
  Kojiro Tsutsumi (3)
  
  1. Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
  2. Graduate School of Natural Science & Technology, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
  3. Honda R&D Co., Ltd. Automobile R&D Center, 4630 Shimotakanezawa Haga-machi Haga-gun, Tochigi, 321-3393, Japan
  
• 刊物类别：Engineering
• 刊物主题：Theoretical and Applied Mechanics
  Computer-Aided Engineering and Design
  Numerical and Computational Methods in Engineering
  Engineering Design
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1615-1488

文摘

To reduce fuel consumption and exhaust emissions in hybrid electric vehicles (HEVs), it is important to develop a well-organized energy management system (EMS). This paper proposes a torque control strategy coupled with optimization for a parallel HEV. A torque control strategy is developed first. In particular, a function to control the driving condition, called the internal combustion engine (ICE) torque control function, is introduced. This function controls the driving conditions (electric motor (EM) driving, ICE driving, and ICE driving assisted by EM) for reducing fuel consumption and exhaust emissions. This function depends on several design variables that should be optimized. Numerical simulation of HEV using Matlab/Simulink is so computationally intensive that a sequential approximate optimization (SAO) using a radial basis function network (RBF) is adopted to determine the optimal values of these design variables. As the result, the optimal ICE torque control function is determined with a small number of simulation runs. In this paper, CO₂ and NO_x emissions are minimized simultaneously for reducing the fuel consumption and exhaust emission. Through numerical simulations using typical driving cycles, the trade-off between CO₂ and NO_x emissions is clarified and the validity of the proposed torque control strategy coupled with the proposed optimization is examined. Keywords Hybrid electric vehicle Torque control strategy Multi-objective optimization Sequential approximate optimization