Reduction of Transient Engine-Out NO_(x)-Emissions by Advanced Digital Combustion Rate Shaping

Modern diesel passenger cars already fulfill high demands regarding the reduction in NOx emissions through complex exhaust aftertreatment systems.With the consideration of real driving emissions,the reduction in NOx emissions in high transient engine operation becomes even more challenging.Apart from increasing the complexity of exhaust aftertreatment systems,internal engine measures play a major role.The approach to reducing NOx emissions described in this paper uses the precise control of the combustion.For this purpose,the method of digital combustion rate shaping control is applied,which allows the realization of a predefined combustion by automatically adapting the injection profile during operation.Within this work,this controller is extended in order to control the predefined combustion trace based on target NOx values.First,the working principal of the state-of-the-art digital combusting rate shaping controller is explained.In the next step,the design and strategy of the extended control approach are explained and validated.Finally,its potential to reduce engine-out NOx emissions during transient driving situations is evaluated based on simulations of the WLTC.It is shown that the control concept fulfills the requirements and is able to effectively reduce high NOx peaks during transient operation.

A Virtual Prototyping Approach for Development of PMSM on Real‑Time Platforms: A Case Study on Temperature Sensitivity

This paper presents a comprehensive evaluation of system interactions in a battery electric vehicle caused by temperature sensitivity of permanent magnet synchronous machines(PMSM).An analytical model of a PMSM considering iron losses and thermal impact is implemented on a field programmable gate array suitable for hardware-in-the-loop testing.By the presented virtual prototyping approach,different machine characteristics defined by the design are used to parameterize the analytical model.The investigated temperature effect is understood as an interacting influence between machine character-istics and control,which are investigated in terms of torque generation,voltage utilization and efficiency under closed-loop condition in a vehicle environment.In particular,using a surface permanent magnet rotor and an interior permanent magnet rotor,the performance of both machine designs is analyzed by varying temperature-adjusted feedforward control strategies on the basis of a driving cycle from a racetrack.The comparison shows that the machine design with surface-mounted mag-nets is associated with higher temperature sensitivity.In this case,the temperature consideration in the feedforward control provides a14%loss reduction in closed-loop vehicle test operation.It can be summarized that the electromagnetic torque is less sensitive to a temperature variation with increasing reluctance.The presented development approach demonstrates the impact of interactions in electric powertrains without the need of real prototypes.

Simulator Coupled with Distributed Co-Simulation Protocol for Automated Driving Tests

To meet the challenges in software testing for automated vehicles,such as increasing system complexity and an infinite number of operating scenarios,new simulation methods must be developed.Closed-loop simulations for automated driving(AD)require highly complex simulation models for multiple controlled vehicles with their perception systems as well as their surrounding context.For the realization of such models,different simulation domains must be coupled with co-simulation.However,widely supported model integration standards such as functional mock-up interface(FMI)lack native support for distributed platforms,which is a key feature for AD due to the computational intensity and platform exclusivity of certain models.The newer FMI companion standard distributed co-simulation protocol(DCP)introduces platform coupling but must still be used in conjunction with AD co-simulations.As part of an assessment framework for AD,this paper presents a DCP compliant implementation of an interoperable interface between a 3D environment and vehicle simulator and a co-simulation platform.A universal Python wrapper is implemented and connected to the simulator to allow its control as a DCP slave.A C-code-based interface enables the co-simulation platform to act as a DCP master and to realize cross-platform data exchange and time synchronization of the environment simulation with other integrated models.A model-in-the-loop use case is performed with the traffic simulator CARLA running on a Linux machine connected to the co-simulation master xMOD on a Windows computer via DCP.Several virtual vehicles are successfully controlled by cooperative adaptive cruise controllers executed outside of CARLA.The standard compliance of the implementation is verified by exemplary connection to prototypic DCP solutions from 3rd party vendors.This exemplary application demonstrates the benefits of DCP compliant tool coupling for AD simulation with increased tool interoperability,reuse potential,and performance.