Time-varying performance prediction and system identification of internal combustion engines

Design for life-time performance and proper maintenance measures are usually needed to prolong the mean-time-between-failures of complex equipments such as internal combustion engines. To reach this, it is important to obtain the information of time-varying system performance in design stage and to identify the structural change at each moment. So a multidisciplinary model based method is studied in this paper to unify the time-varying performance(TVP) prediction and system identification(SI) of equipments. The related multidisciplinary model in this paper should be not only precise to give simulation results but also sensitive to the variation of system parameters. So the varying history of system performance along with the structural change can be obtained from the model. Then the value of system parameters can be identified by seeking roots with given detected responding data and relationship between system responding data and system parameters. A case study on a low power gasoline engine shows that the method presented in this paper can provide useful information for the development and maintenance of complex equipments.