Training and simulation on the gear position decision for vehicles based on the optimal algorithm of BP network

In order to solve the problem that the power train efficiency of vehicles is very low, especially under heavy load, the method of automatic shifting is realized to suit for the load and to improve the efficiency. It is important to find a suitable shifting strategy. Since the nonlinear function between the status of vehicles and optimal gear position and corresponding data is given, neural network can be trained away from line with the acquisition data. The method of gear position decision for the vehicle based on the optimal algorithm of BP neural network is studied. With the example of three parameter shifting strategies, the neural network is trained and the simulation result using MATLAB is given.