期刊文献+

并联混合动力汽车自适应控制策略 被引量:4

Adaptive Control Strategy for Parallel Hybrid Electric Vehicles
下载PDF
导出
摘要 提出了以电池电量平衡为目标的基于行驶循环识别的并联混合动力汽车自适应控制策略。其核心是一个负责发动机和电机之间转矩分配的两参数模糊控制单元。自适应调整模块由行驶循环识别和参数调整两部分组成,后者的目标是维持混合动力汽车在行驶过程中的电量平衡。这样,既可使电池尽可能保持在高效率区间内工作,又能合理控制电池的充放电,提高整车燃油经济性。仿真结果表明,对于多数行驶循环,该控制策略能够明显地提高混合动力汽车的燃油经济性。 An adaptive control strategy for parallel hybrid electric vehicles is proposed based on drive cycle recognition with the balance of battery SOC as objective. The core of the strategy is a two - parameter fuzzy control unit responsible for torque split between engine and electric motor. The adaptive adjustment module consists of two parts : drive cycle recognition and parameter adjustment. The objective of the latter is to maintain the balance of battery SOC during vehicle operation. Thus, battery charge and discharge can be rationally controlled on the one hand, and the battery can work within its high efficiency zone as far as possible, on the other hand, both enhancing the fuel economy of vehicle. Simulation results show that the control strategy can markedly improve the fuel economy of hybrid electric vehicle for most of the drive cycles.
出处 《汽车工程》 EI CSCD 北大核心 2009年第9期834-838,799,共6页 Automotive Engineering
关键词 混合动力电动汽车 自适应控制策略 仿真 hybrid electric vehicles adaptive control strategy simulation
  • 相关文献

参考文献9

  • 1Kyoungcheol Oh, Junhong Min, Donghoon Choi. Optimization of Control Strategy for a Parallel Hybrid Electric Vehicle [ C ]. EVS22, 2005.
  • 2Lin Chan-Chiao, Peng Huei, Grizzle Jessy W. Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck[ C]. SAE Paper 2003 -01 -3369.
  • 3Schell Andreas, Peng Huei, Tran Doanh. Modelling and Control Strategy Development for Fuel Cell Electric Vehicles [ J]. Elsevier Annual Reviews in Control, 2005, 29 : 159 - 168.
  • 4Sun Liqing, Shi Peiji, Zhao Yue. System Modeling and Control Optimization of Parallel Hybrid Electric Transit City Bus [ C 1. EVS22, 2005.
  • 5Hu Xiaolin, Wang Zhongfan, Liao Lianying. Multi-Objective Optimization of HEV Fuel Economy and Emissions Using Evolutionary Computation [ C ]. SAE Paper 2004 - 01 - 1153.
  • 6Johnson Valerie, Wipke Keith, Ransen David. HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions [ C]. SAE Paper 2000 -01 - 1543.
  • 7Rodatz P, Paganelli G, Sciarretta A. Optimal Power Management of an Experimental Fuel Cell/Supercapacitor-powered Hybrid Vehicle [ J ]. Control Engineering Practice, 2005, 13 : 41 - 53.
  • 8Gino Paganelli, Yann Guezennec, Giorgio Rizzoni. Optimizing Control Strategy for Hybrid Fuel Cell Vehicle [ C ]. SAE Paper 2002 -01 -0102.
  • 9National Renewable Energy Laboratory. ADVISOR Documentation [ CP/OL]. http ://www. ctts. nrel. gov. 2002.

同被引文献44

引证文献4

二级引证文献25

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部