Study on Engine Characteristic Curves Drawing Method Based on BP Neural Network

The BP neural network model based on PSO particle swarm optimization algorithm is analyzed in this paper. The engine speed and torque is the input of the network and the fuel consumption rate is output. Appling PSO algorithm to optimize BP neural network weights and threshold value, which makes the BP network having high precision nonlinear mapping relation, and then realize it by MATLAB software. Practice proves that the method is effective and it provides a new method of rendering engine characteristic curve fitting.