CMCL’s new publication in Applied Energy presents the results of a study on automated model calibration for soot emissions in modern heavy-duty diesel engines as part of the collaboration with researchers from Caterpillar, National University of Singapore, Nanyang Technological University, CARES, and University of Cambridge.

SRM Engine Suite and MoDS have been applied in this research, to achieve higher estimation accuracies through combination of physico-chemical modelling and statistical analysis tools. The recently improved Moment Projection Method (MPM) has been used for soot formation and model parameters estimated using MoDS’ Hooke-Jeeves optimisation method at 18 load-speed engine operating points.

Full paper is available here.