Online performance evaluation of a heavy-duty automatic transmission launching process

To improve the repeatability of control effectiveness of automatic transmission launching process, the method of online evaluation of a heavy-duty automatic transmission launching process is studied, which deals with not only the evaluation of launching quality, but also the refining direction of control parameters when launching quality is not well enough. First, automatic transmission launching process and its key control parameters are anatomized. Second, overall evaluation and phase evaluation indices are proposed in light of launching quality and ideal control process respectively. Third, evaluation model based on BPNN (Error Back Propagation Neural Network) is built and trained using Matlab neural network toolbox. The trained evaluation model is then ported to MCU (Micro Controller Unit) to implement online evaluation. Finally, vehicle tests are carried out. The results indicate that the developed online evaluation method of automatic transmission launching process has a high accuracy and successfully substitutes mechanical evaluation for manual evaluation.