The Gas Injection Control of CNG Automobile Based on BP Neural Network

摘要：

　　Compressed natural gas (CNG) automobile is an emerging new energy car.How to control gas injection is the key technology of CNG electronic control system.At present,the control based on the MAP graph is used usually,but this control method has some shortages,for example larger data,poor adaptive capacity and difficulties in data updating.BP neural network control has adaptive and self-learning,nonlinear processing ability and high generalization,and faults tolerant ability in processing information.In this paper,BP neural network is used to control natural gas injection in order to solve the shortage of the MAP picture control.Simulation experiment shows thefeasibility and advantage of this method.

关键词： CNG automobile gas injection BP neural network MATLAB simulation

作者: Dehai Chen Weifeng Cao Tian Zhang

作者单位: School of electrical engineering and automation,JiangxiUniversity of Science and Technology,Ganzhou, SLon Magnetic Separator Ltd,Ganzhou,China,341000

会议类型: 国际会议

会议名称: 2013 International Conference on Energy Research and Power Engineering(2013能源研究与电力工程国际会议)(ERPE2013)

会议地点: 郑州

会议语种:英文

页码: 1405-1409

在线出版日期: 2013-05-24（万方平台首次上网日期，不代表论文的发表时间）