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The coordination of engine will influence the starting and shifting quality of AMT. Heretofore, the study on this aspect is mainly limited to the engine torque control. But for the difficulty of installing torque sensor, just open loop control is adopted, so that the effects don't be satisfactory. This paper puts forward the strategy of engine constant speed control in starting and shifting process, based on the view of kinematics and dynamics. The main idea is that the target speed of engine is constituted according to the different throttle opening, and the deviation between the target speed and the actual speed will be limited through clutch control and fuel injection control in starting and shifting process, which not only greatly reduce the work of slipping and prolong the life of the clutch, but also reduce the fuel consumption and the noise, improve the shift quality in starting and shifting process.

For the purpose of lessening fuel consumption, engine noise, shift jerk and clutch friction work in the shift process of Automatic Mechanical Transmission (AMT), a fuzzy-bang bang dual mode control strategy for engine rotate speed is put forward in this paper, which takes the advantages of time optimal control and fuzzy control. The combined control strategy is applied to the shift process control of AMT test minibus named SC6350 and proved to be successful by the experimental results.

To reach the goal of optimal performance match between engine and transmission, the dynamic characteristics of engine should be taken into consideration. In the paper, the dynamic torque and fuel consumption models of engine, described by a multi-layers feed forward neural network, were established. Based on that, the methods used to calculate the optimal dynamic and economical shift schedules with dynamic 3-parameters were put forward. The shift schedule with dynamic 3-parameters based on neural network model is proven to be superior to the shift schedule with only 2-parameters in both dynamic performance and fuel economy by the test.