Abstract
Dynamic engine emission modeling has been attracting a lot of attention over the last years. Applications of dynamic engine modeling include model based calibration or rapid measurement, i.e. methods for saving measurement time.Whereas physical models usually show a high complexity, data driven models are estimated with significantly less effort. In this paper, we show the use of a multichannel sinusoidal excitation sequence for a nonlinear dynamic emission model. This training sequence is used for modeling transient emissions and exhaust temperature. As validation, a measured trace from a new European driving cycle and a FTP cycle is used.