@inproceedings{BorgeestHoeferSeubertetal.2017, author = {Borgeest, Kai and H{\"o}fer, Patrik and Seubert, Michael and Stein, Simon}, title = {Model Based EGR Control}, series = {Proceedings of the Fev Diesel Powertrains 3.0, July 11th \& 12th 2017}, booktitle = {Proceedings of the Fev Diesel Powertrains 3.0, July 11th \& 12th 2017}, publisher = {FEV}, address = {Aachen}, pages = {64 -- 66}, year = {2017}, abstract = {Almost stationary control of the correct EGR rate (Exhaust Gas Recirculation) is state of the art. More aggressive emission tests such as WLTP and RDE require a dynamic control of the EGR rate, otherwise a too low EGR rate results in increased NOx emissions, a too high EGR rate in particulate emissions. The difficulty in any EGR control is the missing plant knowledge; the EGR rate is controlled although the present EGR rate is not exactly known. EGR flow sensors are available, but due to additional costs they have not found a broad acceptance. A different approach for high pressure EGR investigated in this paper is a control using a second lambda sensor between EGR and inlet valves. This approach improves the dynamic response, but it might come with costs similar to an EGR flow sensor. Alternatively a model based approach can be used which shows high potential.}, subject = {Abgasr{\"u}ckf{\"u}hrung}, language = {en} }