Research on Vehicle Driving Situation Identification (Part Ⅱ)——Based on Fuzzy-neural Network
Tian Yi1,2,3;Zhang Xin2;Zhang Xin2;Zhang Liang2
1.The Academy of Armored Forces Engineering,Beijing,100072
2.Beijing Jiaotong University,Beijing,100044
3.Railway Management Bureau of JSLC,Jiuquan,Gansu,732750
Online:2013-06-10
Published:2013-06-04
Supported by:
The National Key Technology R&D Program（No. 2011BAG04B00）;
Natural Science Foundation of Beijing（No. 4122062）
[1]Lin C, Jeon S, Peng H, et al. Driving Pattern Recognition for Control of Hybrid Electric Trucks[J]. Vehicle System Dynamics, 2004, 42(1/2): 41-57.
[2]Langari R, Won J S. Intelligent Energy Management Agent for a Parallel Hybrid Vehicle—Part I: System Architecture and Design of the Driving Situation Identification Process[J].IEEE Transactions on Vehicular Technology,2005,54(3): 925-935.
[3]罗玉涛，胡红斐，沈继军. 混合动力电动汽车行驶工况分析与识别[J]. 华南理工大学学报（自然科学版），2007，35(6)：8-13.
Luo Yutao,Hu Hongfei,Shen Jijun. Analysis and Recognition of Running Cycles of Hybrid Electric Vehicle[J]. Journal of South China University of Technology (Natural Science Edition)，2007，35(6)：8-13.
[4]周楠，王庆年，曾小华. 基于工况识别的HEV自适应能量管理算法[J].湖南大学学报（自然科学版），2009，36(9)：37-41.
Zhou Nan，Wang Qingnian，Zeng Xiaohua. Adaptive HEV Energy Managemen Algorithms Based on Drive-cycle Recognition[J]. Journal of Hunan University(Natural Sciences), 2009，36(9)：37-41.
[5]Zhang Liang, Zhang Xin, Tian Yi, et al.Intelligent Energy Management for Parallel HEV Based on Driving Cycle Identification Using SVM[C]//The Institution of Engineering and Technology, Proceedings of the 2009 International Workshop on Information Security and Application.Oulu: IWISA, 2009: 457-460.
[6]田毅，张欣, 张昕,等. 基于神经网络工况识别的HEV模糊控制策略[J]. 控制理论与应用, 2011，28(3)：363-369.
Tian Yi, Zhang Xin, Zhang Liang,et al. HEV Fuzzy Control Strategy Based on the Neural Network Identification of Driving Cycle[J]. Control Theory & Applications, 2011，28(3)：363-369.
[7]田毅，张欣，张昕，等.汽车运行状态识别方法研究（一）——特征参数选择[J].中国机械工程，2013，24（9）：1258-1263.
Tian Yi,Zhang Xin,Zhang Xin,et al.The Research of Vehicle Driving Situation Identification(Ⅰ)——Driving Pattern Selection[J].China Mechanical Engineering,2013，24（9）：1258-1263.
