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Multi-objective comprehensive optimization of fuel consumption and emission for hybrid electric vehicles 被引量:1

Multi-objective comprehensive optimization of fuel consumption and emission for hybrid electric vehicles
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摘要 Aiming to reduce fuel consumption and emissions of a dual-clutch hybrid electric vehicle during cold start, multiobjective optimization for fuel consumption and HC/CO emission from a TWC(three-way catalytic converter) outlet is presented in this paper. DP(dynamic programming) considering dual-state variables is proposed based on the Bellman optimality principle. Both the battery SOC(state of charge) and the temperature of TWC monolith are considered in the algorithm simultaneously. In this way the global optimal control strategy and the Pareto optimal solution of multi-objective function are derived. Simulation results show that the proposed method is able to promote the TWC light-off significantly by decreasing the engine's load and improving exhaust temperature from the outlet of the engine, in comparison with original DP considering the single battery SOC. Compared to the results achieved by rule-based control strategy, fuel economy and emission of TWC outlet for cold start are optimized comprehensively. Each indicator of Pareto solution set shows the significant improvement. Aiming to reduce fuel consumption and emissions of a dual-clutch hybrid electric vehicle during cold start, multi- objective optimization for fuel consumption and HC/CO emission from a TWC (three-way catalytic converter) outlet is presented in this paper. DP (dynamic programming) considering dual-state variables is proposed based on the Belhnan optimality principle. Both the battery SOC (state of charge) and the temperature of TWC monolith are considered in the algorithm simultaneously. In this way the global optimal control strategy and the Pareto optimal solution of multi-objective function are derived. Simulation results show that the proposed method is able to promote the TWC light-off significantly by decreasing the engine's load and improving exhaust temperature from the outlet of the engine, in comparison with original DP considering the single battery SOC. Compared to the results achieved by rule-based control strategy, fuel economy and emission of TWC outlet for cold start are optimized comprehensively. Each indicator of Pareto solution set shows the significant improvement.
出处 《Journal of Chongqing University》 CAS 2014年第4期131-141,共11页 重庆大学学报(英文版)
基金 Funded by National Natural Science Foundation of China(No.51305472) National Natural Science Foundation of Chongqing Science and Technology Committee(No.cstc2014jcyj A60005) Natural Science Foundation of Chongqing Education Committee(No.KJ1400312)
关键词 hybrid electric vehicle fuel consumption and emission energy managemnet dynamic programming hybrid electric vehicle fuel consumption and emission energy managemnet dynamic programming
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参考文献13

  • 1Salmasi FR. Control strategies for hybrid electric vehicles: evolution, classification, comparison, and future trends [J] IEEE Transactions on Vehieular Technology [ISSN 0018-9545], 2007, 56(5): 2393- 2404.
  • 2Kheir NA, Salman MA, Schouten N J, et al. Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic [J]. Mathematics and 'Computers in Simulation [ISSN: 1998-0159], 2004, 66(2/3): 155-172.
  • 3Wu J, Zhang CH, Cui NX. PSO Algorithm-based parameter optimization for HEV powertrain and its control strategy [J]. International Journal of Automotive Technology [ISSN: 1229-9138], 2008, 9(1): 53-59.
  • 4Walsh P, Nelson, D. Impact of supervisory control on criteria tailpipe emissions for an extended-range electric vehicle [R]. SAE Technical Paper 2012-01- 1193.
  • 5Muta K, Yamazaki M, Tokieda J. Development of new-generation hybrid system THS II drastic improvement of power performance and fuel economy [R]. SAE Technical Paper 2004-01-0064.
  • 6张炳力,张平平,赵韩,田芳,徐小东,吴迪.基于离散动态规划的PHEV燃油经济性全局最优控制[J].汽车工程,2010,32(11):923-927. 被引量:18
  • 7欧阳易时,金达锋,罗禹贡.并联混合动力汽车功率分配最优控制及其动态规划性能指标的研究[J].汽车工程,2006,28(2):117-121. 被引量:23
  • 8Lin CC, Peng H, Grizzle JW. A stochastic control strategy for hybrid electric vehicles [C]. In: Proceedings of the 2004 American Control Conference. Boston, Massachusetts: 2004:4710-4715.
  • 9Johannesson L, Mattias A, Bo. Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrain~ Using Stochastic Dynamic Programming [J]. IEEE Transactions on Intelligent Transportation Systems [ISSN 1524-9050], 2007, 8(1): 71-83.
  • 10Bin Y, Reama A, Cela A. On fast dynamic programming for power splitting control of plug-in hybrid electric vehicles [C]. In: ASME Conference Proceedings, Hollywood, CA: 2009, 12-14 (48920): 229-236.

二级参考文献30

  • 1欧阳易时,金达锋,罗禹贡.并联混合动力汽车功率分配最优控制及其动态规划性能指标的研究[J].汽车工程,2006,28(2):117-121. 被引量:23
  • 2Delprat S,Paganelli G,Guerra TM,et al.Algorithmic Optimization Tool for Evaluation of HEV Control Strategies[C].Proc.of EVS16,Beijing,1999.
  • 3Brahma A,Guezennec Y,Rizzoni G.Dynamic Optimization of Mechanical/Electrical Powerflow in Parallel Hybrid Vehicles[C].Proc of AVEC2000 5th International Symposium on Advanced Vehicle Control,USA,2000.
  • 4Stephane R,Michel D,Emmanuel C.Hybrid Vehicle Powertrain:Modeling and Control[C].Proc.of EVS16,Beijing,1999.
  • 5姜衍智.动态规划原理及应用[M].西安:西安交通大学出版社,1984.
  • 6库柏伦,库柏玛丽W.动态规划导论[M].张有为,译.北京:国防工业出版社,1983.
  • 7Bertsekas D P.Dynamic Programming and Optimal Control[M].USA:Athena Scientific,2000.
  • 8Zoelch Ulrich,Schroder Dierk.Optimization Method for Rating the Components of a Hybrid Vehicle[C].EVS 14,1997.
  • 9Vollmer Thomas,Hohn Bernd-Robert.Operational Strategy and Control of the Autark Hybrid of the TU München[C].EVS 15,1998.
  • 10吴麒.自动控制原理:下册[M].北京:清华大学出版社,1987..

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