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Advanced truck engine control system

Deliverables

Mathematical models were developed for the simulation of the following engine components: EGR valve, EGR cooler, Variable Nozzle Turbine (VNT), PID controller. These models were incorporated into the engine simulation code MOTHER used by LME for engine simulation studies. In that respect, the code has become more powerful allowing the simulation of complex engine configurations with VNT, EGR and their controllers as well as deriving the required results, which are difficult and costly to be measured, for designing the engine controllers.
The results were derived from the simulation (using the very detailed engine simulation code MOTHER of LME) of the transient behaviour of complex engine configurations with EGR, VNT and their controllers. The results were utilised for the tuning the engine model developed by FEV/IRT within the consortium, for both VTC and DEUTZ engines. The publication of these results in scientific journal or conference is also planned for demonstrating the capability of the simulation code in modelling complex engine configurations and further using the simulation results for tuning the engine controllers.
In order to support the application of advanced control algorithms at the engine an intuitive application tool has been created. It supports the application procedure for model based controllers at test benches providing the necessary information by means of an automated test program and selected identification algorithms.
A facility for detailed testing of superchargers has been developed and commissioned during the project. The facility permits the measurement of extended parts of the compressor and turbine characteristic curves by controlling turbine inlet gas temperature.
An innovative compressor stall and surge detection methodology has been established on the basis of acoustic measurements. An appropriate acoustic signal RMS value has been established that permits the detection of compressor stall and surge. The signal is acquired using cheap, commercial microphones.
Within the ATECS project developed controller had to be implemented in the engine control unit and to be calibrated and tested on the test cell. Besides showing the functioning of the uncoupling control, also the impact on engine thermodynamics could be shown. This was done with the control values of air mass and boost pressure at the 1L/ cyl. engine. By operating the engine under transient condition at load steps and within the ETC, the impact of the control on transient emissions and engine load response could be investigated.
Within ATECS, an uncoupling control scheme for closed-loop control of EGR-rate and boost pressure via EGR-valve and VGT-position has been developed for two different HD truck engines. Boost pres-sure and EGR- or air mass flow are controlled without remaining relevant coupling effects. The main development steps of the advanced controller have taken place on the non-linear real-time simulation model also created within ATECS. Afterwards the control algorithm has been applied to the engines at the test bench and several dynamic investigations have been carried out including load steps and the European Transient Cycle. This has been done with respect to emission, fuel consumption and load response. As control structure a model based predictive controller adapted to the demands of production electronic control units is used. Via the so-called cost function not only the uncoupling of the response variables is achieved but also additional control targets (e.g. emissions) and influence parameters (e.g. additional information's of dynamic engine states) can be included.
Within ATECS a non-linear real-time simulation model has been designed for each of the test engines (12 l and 5,7 l) with turbocharger with Variable Geometry Turbine (VGT) and Exhaust Gas Recirculation (EGR). Each model pictures the behaviour of the corresponding engine as exact as needed to develop close-loop controls on it. The model structure is build up modular, so the expandability for further developments even of single parts of the engine is guaranteed as well as easy adaptation to other engines. The description of the influences is based on physical behaviour as far as possible. Relations too complex to be described physically within a real-time model have been approximated mathematically using appropriate formulations at each case. Both models have shown good result comparing measured engine data with simulation result for static and transient tests. The models have been used to develop, test and evaluate different control strategies prior to test bench implementation. Thus using an integrating tool chain most of the time and cost consuming development and evaluation phase could be carried out within the simulation environment. Even initial applications of the controller parameters have been successfully transferred from simulation to the test bench.

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