Search Results

Optimization-based strategy planning for predictive optimal cruise control has the potential for significant improvements in passenger comfort and fuel efficiency. It is, however, associated with a high computational complexity that complicates its implementation in an electronic control unit. When implementing predictive cruise control, real-time capability must be ensured while maintaining optimal control performance in the presence of disturbance and model uncertainty. Real-time capability can be achieved either by a significant simplification of the optimization problem or by a layered control approach, combining the strategy planner with a low-level controller. Both approaches, however, are prone to deteriorate optimal control performance, particularly in the presence of disturbance. We present a model-predictive controller structure that extends the layered control approach by using the same optimization algorithm on two layers.

The international standard ISO 26262 for functional safety of road vehicles claims processes and requirements for the entire product lifecycle of automotive electric and electronic systems. The demanded activities and work products within the standard are highly interconnected. Additionally, references to exemplarily external quality management standards or commonly recognized industry sources are given. Therefore, the application of functional safety processes in distributed development is challenging regarding description, understanding, analysis and planning of processes. To overcome these inconveniences, we provide a meta model extension for model-based architecture description languages regarding process description, organizational structures and resource assignment. This is related to the established “Business Process Model and Notation” (BPMN) according to ISO/IEC 19510:2013.

This paper presents the further development, implementation and evaluation of a computer-aided engineering (CAE) method for tool-independent simulation model coupling with a function-based modular framework for entire-system simulations. For that purpose, the preliminary findings regarding the development process of the function-based modular framework are presented. Emanating from that, a hierarchical structure for consistent data distribution and deposition for separating the system to be simulated is introduced. Therein the boundaries of the subsystems are defined, to avoid overlapping and ensuring a consistent ratio of the subsystems. Thus, the exchangeability and the reuse of simulation models are supported. Additionally, a scheme for signal names of the subsystems interfaces is described to allow general interoperability between the subsystems within the function-based modular framework.

To fulfil the increasing requirements of electric/electronic architectures in automotive environments new concepts for future Electronic Control Units (ECU) are needed. Novel architectures offer much higher potential in terms of performance compared to higher clock rates in standard microcontroller devices. The following contribution discusses the performance benefits of new concepts as well as advantages in early development phases. We focus on two systems: A central body controller and a gateway system. Both are realized on reconfigurable hardware. In comparison to microcontrollers the FPGA technology offers the opportunity of task parallelization and partial dynamically reconfiguration. These novel architectures demand new tool flows and standards which will be also addressed in this paper.