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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 341-342)
• Pages: 626-630
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.341-342.626
• Online since: July 2013
• Authors: De Hai Chen, Wei Feng Cao, Tian Zhang
• Keywords: BP Neural Network (BPNN), CNG Automobile, Gas Injection, MATLAB Simulation

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