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Abstract: In
order to solve the problem that efficiency of the powertrnin of the
vehicle is very low, especially under the heavy load, the method of
automatic shifting is realized to suit for the load, and improve the
efficiency. It is important to find a suitable shifting strategy, Since
the nonlinear function between the status of vehicle 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 optimal algorithm of BP neural network
is studied. With the example of three parameter shifting strategy, the
neural network is trained and the result of the simulation using MATLAB
is given.
Key words: Vehicle Automatic shifting
Neural network Gear position decision
CLC No: U270.14
国家自然科学基金(59705005)、吉林省科技发展计划项目(20000527)和教育部青年骨干教师基金资助项目. Received 20010726,
received in revised form 20020625 |