SAE 2014 World Congress & Exhibition

Technical Session Schedule

Tuesday, April 8

Physical Plant Models for Controls
(Session Code: PFL116)

Room 140 C  9:30 a.m.

Separate sub-sessions cover zero-dimensional, one-dimensional, and quasi-dimensional models for simulation of SI and CI engines with respect to: engine breathing, boosting, and acoustics; SI combustion and emissions; CI combustion and emissions; fundamentals of engine thermodynamics; numerical modeling of gas dynamics; thermal management; mechanical and lubrication systems; system level models for controls; system level models for vehicle fuel economy and emissions predictions.

Organizers - Norbert Meyer, dSPACE GmbH; Federico Millo, Politecnico di Torino; Christof Schernus, FEV GmbH; Per Tunestal, Lund University

Time Paper No. Title
9:30 a.m. ORAL ONLY
Session Insert: Challenges in Real Time In-Cylinder Simulation for HIL Applications - Parameterization and Discretization
Norbert Meyer, dSPACE GmbH
9:50 a.m. 2014-01-1096
Fluid-Dynamic Modeling and Advanced Control Strategies for a Gaseous-Fuel Injection System
Daniela Anna Misul, Mirko Baratta, Hamed Kheshtinejad, Politecnico di Torino
10:10 a.m. 2014-01-1097
Development of Engine Model Using Modulization Method for EMS Verification through MIL and HIL
Bo-Chiuan Chen, Yuh-Yih Wu, Hsien-Chi Tsai, National Taipei University of Technology; Bo-Liang Chen, Industrial Technology Research Institute
10:30 a.m. 2014-01-1095
Crank-Angle Resolved Modeling of Fuel Injection and Mixing Controlled Combustion for Real-Time Application In Steady-State and Transient Operation
Christoph Poetsch, AVL LIST GmbH
10:50 a.m. 2014-01-1092
Transient Build-up and Effectiveness of Diesel Exhaust Gas Recirculation
Usman Asad, University of Windsor; Jimi Tjong, Ford Motor Co.
11:10 a.m. 2014-01-1094
Dual Fuel Engine Simulation - A Thermodynamic Consistent HiL Compatible Model
Johann C. Wurzenberger, AVL LIST GmbH; Tomaz Katrasnik, Univ. of Ljubljana
2014-01-1093
Control-Oriented Modeling of Turbocharged Diesel Engines Transient Combustion Using Neural Networks (Written Only -- No Oral Presentation)
Taotao Wu, Changlu Zhao, Kai Han, Bolan Liu, Zhenxia Zhu, Yangyang Liu, Xiaokang Ma, Guoliang Luo, Beijing Institute of Technology

The papers in this session are available in SAE Technical Paper Collection, SUB-TP-00008, and also individually. To purchase visit collections.sae.org

Planned by General Powertrain Development / Powertrain Fuels and Lubricants Activity