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There is an enormous effort to implement safety functionality into battery systems to prevent any accidents with the poisonous and inflammable ingredients of the electrolytes and electrode materials. But not only the safety regulation for lithium ion batteries will be different in comparison to the home electronics application, also the operating strategy must be different to guaranty the required lifetime in the automotive industry up to 10-12 years. This paperwork will show an approach to get offline (on test benches) and/or online (installed inside the car) information regarding the current healthy and state inside the cell. As an approach modeling of physical effects by the help of electro impedance spectroscopy (EIS) will be applied.

One of the main challenges in developing cost-effective diesel particulate filters is to guarantee a thermally safe regeneration under all possible conditions on the road. Uncontrolled regenerations occur when the soot reaction rate is so high that the cooling effect of the incoming exhaust gas is insufficient to keep the temperature below the required limit for material integrity. These conditions occur when the engine switches to idle while the filter is already hot enough to initiate soot oxidation, typically following engine operation at high torque and speed or active filter regeneration. The purpose of this work is to investigate engine management techniques to reduce the reaction rate during typical failure mode regenerations. A purely experimental investigation faces many difficulties, especially regarding measurement accuracy, repeatability in filter soot loading, and repeatability in the regeneration protocol.

This paper describes a new approach for the calibration of engine management systems based on a newly developed calibration tool. This approach is based on the idea to design the calibration process of a certain calibration task by means of a computer based stateflow/workflow diagram. By means of library methods for certain calibration routines, the calibration engineer can design his calibration process in a Stateflow diagram and then transfer this function in an executable file, guiding and supporting the engineer for performing his task. Due to this approach a documentation of the calibration process, the performed calibration task and a guided and automated calibration process can be performed.

A physics-based simulation program developed by IAV is used to calibrate the torque structure and cylinder charge calculation in the electronic control unit of SI engines. The model calculates both the charge cycle and combustion phase based on flow mechanics and a fractal combustion model. Once the air mass in the charge cycle has been computed, a fractal combustion model is used for the ongoing calculation of cylinder pressure and temperature. The progression of cylinder pressure over the high and low-pressure phases also provides information on engine torque. Following the engine-specific calibration of the model using elemental geometric information and reduced test bench measurements, the physical engine properties can be simulated over the operating cycle. The calibrated model allows simulations to be carried out at all operating points and the results to be treated as virtual test bench measurements.

As more virtual product development is integrated into the mass-production development process and overall development times are shortened, efficient intake-port design requires closer cooperation between design, simulation and test engineers. Doppler Global Velocimetry (DGV) has become an important link in the overall intake-port development process as it provides 3D-vector fields of flow velocity. Hence, it can be used to make direct comparisons with 3D-CFD-simulation results. The present paper describes the hardware-assisted inlet port development process for diesel engines, the cooperation among port design, 3D-CFD-simulation with the creation of alternative geometries and DGV flow-measurement of preferred variants with their capability of checking and improving simulation results.

Whereas the verification of non-safety-related, embedded software typically focuses on demonstrating that the implementation fulfills its functional requirements, this is not sufficient for safety-relevant systems. In this case, the control software must also meet application-specific safety requirements. Safety requirements typically arise from the application of hazard and/or safety analysis techniques, e.g. FMEA, FTA or SHARD. During the downstream development process it must be shown that these requirements cannot be violated. This can be achieved utilizing different techniques. One way of providing evidence that violations of the safety properties identified cannot occur is to thoroughly test each of the safety requirements. This paper introduces Evolutionary Safety Testing (EST), a fully automated procedure for the safety testing of embedded control software.

The paper shows the possibilities of using a test management system to combine test tasks and test stages and to control test tools in a varied and manageable way. This makes it possible to optimize test procedure efficiency by applying seamless processes. The following provides a comparison between contemporary procedures and the many different possibilities offered by this type of process configuration.

IAV GmbH is currently developing a test case generator, which uses information from Simulink®/Stateflow® models to generate test cases automatically. These test cases can then be applied during software tests for an ECU to show conformance to the original model. Using predefined rules, test cases for individual blocks are generated and converted into test cases for a whole model. The test cases can be saved as a XML file. Then, this file can be converted into test script languages which are used by tools for test execution. With the test case generator, the time-consuming and error-prone task of manual test case definition can be automated, thus decreasing test expenses for each test while increasing test quality.

A physically based simulation program developed by IAV makes a notable reduction of test bed measurements for the calibration of the cylinder charge calculation possible. Based upon geometric engine parameters and camshaft profiles, the cylinder charge is calculated from thermodynamic relationships taking into account the contribution of residual gas. After successful engine-specific calibration of the simulation model on the basis of a reduced set of test bed measurements, it is possible to calculate the cylinder air mass over the entire range of valve timing settings and operating points (engine load and speed). The simulation-generated “virtual” measurements can then be used for calibration of the control unit software over the entire operating range.

The correct estimation of the air charge is crucial for the control of gasoline engines. This paper introduces an air charge estimation based on both physical and statistical models. For the physical model, an investigation was made to determine if the assumption of an isothermal process in the intake manifold is too strict and should be weakened to an assumption of an adiabatic process. For the adaptation of the statistical models, the Design of Experiments (DoE) method is used. The DoE method can shorten test expenses and calibration time significantly. The resulting model was tested with a 2-liter gasoline engine.

Under the persistent pressure to further reduce fuel consumption worldwide, it is necessary to advance the processes that influence the efficiency of gasoline engines. In doing so, harnessing the entire potential of fully variable mechanical valve trains will involve targeting efforts on optimizing all design parameters. A new type of valve timing system is used to portray thermodynamic and mechanical as well as electronic aspects of developing fully variable mechanical valve timing and lift systems

In-cylinder charge motion plays a key role in optimizing the combustion process of modern reciprocating engines. The present paper describes a method for obtaining the volumetric, isothermal, in-cylinder velocity flow field using Doppler Global Velocimetry (DGV). The DGV system is designed for measuring time-averaged velocity data in three different light sheet directions using a single camera system with the aim of providing planar, spatially resolved, three-component velocity data of the cylindrical cross section. As DGV provides time-averaged data, the results can be directly compared with data obtained by 3-D CFD analysis. An automated program code generates characteristic numbers of the measured velocity fields with the aim of assessing and comparing the results of different engine concepts.

IAV has developed a strategy for transmission ratio selection that serves AMT, ATs, CVTs and Hybrid drivetrains. Since the power demand dependent strategy is applicable to all transmission types, it is possible to implement the same character of vehicle behavior. As a result, a manufacturer specific vehicle characteristic can be given to the complete range of powertrains. This universal field of application is made possible by the choice of ratio being dependent on the drivers demand of traction power instead of the usual dependency concerning the accelerator position and the vehicle velocity. Therefore, as opposed to conventional shifting strategies, the selected transmission ratio guarantees the demanded traction power. In the case of insufficient power at the actual transmission ratio, the engine speed will be increased.

Battery simulation by a DSP-controlled high current power supply is used to improve repeatability and comparability of starting tests, especially at low temperatures. The simulator's algorithm calculates the internal resistance of the battery by a timely constant resistor and a variable resistor representing the actual discharge history. The output voltage of the simulator is set as a function of internal resistor and load current with temperature and state of charge as setup parameter. The simulator was evaluated in cold start testing in comparison to real batteries. As a result, batteries are simulated with high repeatability. Deviations to real battery behavior are in the range of test to test deviations using real batteries.

The software design of this new engine control unit is based on a unique and homogenous torque structure. All input signals are converted into torque equivalents and a torque coordinator determines their influence on the final torque delivered to the powertrain. The basic torque structure is independent on the type of fuel and can be used for gasoline, diesel, or CNG injection systems. This allows better use of custom specific algorithms and facilitates reusability, which is supported by the graphical design tool that creates all modules using automatic code generation. Injection specific algorithms can be linked to the software by simply setting a software switch.