Real-time capable simulation of diesel combustion processes for HiL applications. (February 2018)

• Record Type: Journal Article
• Authors: Neumann, Daniel; Jörg, Christian; Peschke, Nils; Schaub, Joschka; Schnorbus, Thorsten
• Is Part Of: International journal of engine research. Volume 19:Number 2(2018)
• Page Start: 214
• Page End: 229
• Publication Date: 2018-02
• Subjects: Hardware in the loop -- combustion simulation -- diesel process -- real-time capability -- virtual powertrain development -- model in the loop -- heat release model; Engines -- Periodicals; 629.25
• DOI: 10.1177/1468087417726226
• Languages: English
• ISSNs: 1468-0874

Abstract

The complexity of the development processes for advanced diesel engines has significantly increased during the last decades. A further increase is to be expected, due to more restrictive emission legislations and new certification cycles. This trend leads to a higher time exposure at engine test benches, thus resulting in higher costs. To counter this problem, virtual engine development strategies are being increasingly used. To calibrate the complete powertrain and various driving situations, model in the loop and hardware in the loop concepts have become more important. The main effort in this context is the development of very accurate but also real-time capable engine models. Besides the correct modeling of ambient condition and driver behavior, the simulation of the combustion process is a major objective. The main challenge of modeling a diesel combustion process is the description of mixture formation, self-ignition and combustion as precisely as possible. For this purpose, this article introduces a novel combustion simulation approach that is capable of predicting various combustion properties of a diesel process. This includes the calculation of crank angle resolved combustion traces, such as heat release and other thermodynamic in-cylinder states. Furthermore, various combustion characteristics, such as combustion phasing, maximum gradients and engine-out temperature, are available as simulation output. All calculations are based on a physical zero-dimensional heat release model. The resulting reduction of the calibration effort and the improved model robustness are the major benefits in comparison to conventional data-driven combustion models. The calibration parameters directly refer to geometric and thermodynamic properties of a given engine configuration. Main input variables to the model are the fuel injection profile and air path–related states such as exhaust gas recirculation rate and boost pressure. Thus, multiple injection event strategies or novel air path control structures for future engine control concepts can be analyzed.