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E-mobility is a game changer for the automotive domain. It promises significant reduction in terms of complexity and in terms of local emissions. With falling prices and recent technological advances, the second generation of electric vehicles (EVs) that is now in production makes electromobility an affordable and viable option for more and more transport mission (people, freight). Still, major challenges for large scale deployment remain. They include higher maturity with respect to performance (e.g., range, interaction with the grid), development efficiency (e.g., time-to-market), or production costs. Additionally, an important market transformation currently occurs with the co-development of automated driving functions, connectivity, mobility-as-a-service. New opportunities arise to customize road transportation systems toward application-driven, user-centric smart mobility solutions.

The automotive domain has seen safety engineering at the forefront of the industry’s priorities for the last decade. Therefore, additional safety engineering efforts, design approaches, and well-established safety processes have been stipulated. Today many connected and automated vehicles are available and connectivity features and information sharing are increasingly used. This increases the attractiveness of an attack on vehicles and thus introduces new risks for vehicle cybersecurity. Thus, just as safety became a critical part of the development in the late 20th century, the automotive domain must now consider cybersecurity as an integral part of the development of modern vehicles. Aware of this fact, the automotive industry has, therefore, recently taken multiple efforts in designing and producing safe and secure connected and automated vehicles.

The replacement of safety-critical mechanical components with electro-mechanical systems has led to the fact that safety aspects play a central role in development of embedded automotive systems. Recently, consumer demands for connectivity (e.g., infotainment, car-2-car or car-2-infrastructure communication) as well as new advances toward advanced driver assistance systems (ADAS) or even autonomous driving functions make cybersecurity another key factor to be taken into account by vehicle suppliers and manufacturers. Although these can capitalize on experiences from many other domains, they still have to face several unique challenges when gearing up for specific cybersecurity challenges. A key challenge is related to the increasing interconnection of automotive systems with networks (such as Car2X). Due to this connectivity, it is no longer acceptable to assume that safety-critical systems are immune to security risks.

Automotive embedded systems have become very complex, are strongly integrated, and the safety-criticality and real-time constraints of these systems raise new challenges. The OSEK/VDX standard provides an open-ended architecture for distributed real-time capable units in vehicles. This is supported by the OSEK Implementation Language (OIL), a language aiming at specifying the configuration of these real-time operating systems. The challenge, however, is to ensure consistency of the concept constraints and configurations along the entire product development. The contribution of this paper is to bridge the existing gap between model-driven systems engineering and software engineering for automotive real-time operating systems (RTOS). For this purpose a bidirectional tool bridge has been established based on OSEK OIL exchange format files.

Increasing demands for safety, security, and certifiability of embedded automotive systems require additional development effort to generate the required evidences that the developed system can be trusted for the application and environment it is intended for. Safety standards such as ISO 26262 for road vehicles have been established to provide guidance during the development of safety-critical systems. The challenge in this context is to provide evidence of consistency, correctness, and completeness of system specifications over different work-products. One of these required work-products is the hardware-software interface (HSI) definition. This work-product is especially important since it defines the interfaces between different technologies. Model-based development (MBD) is a promising approach to support the description of the system under development in a more structured way, thus improving resulting consistency.

Automotive electric and electronic (E/E) systems are key drivers for innovation in today's vehicles. While new functions are delivering eco-friendliness (hybrid and pure electric vehicles, etc.), assistance/comfort (drive-by-wire, park-assist, etc.) and active safety (electronic stability control, lane-change-assist, brake-assist, etc.) their inherent complexity is challenging manufacturers and suppliers. At the same time, functional safety of the product is a key issue: During the whole car's product life cycle, there are many potential risks for physical injuries, or even worse, fatalities. Therefore, these potential sources of harm should strictly be avoided. In this work, we focus on a powerful method for verification and validation activities during early phases of the development, namely simulation. Simulation is one of the main methods for verification stated by the functional safety standard ISO 26262.

Within this work we demonstrate the implementation and evaluation of a vehicle-to-vehicle based intersection assistance system, relying only on communication between the vehicles and not requiring any communication with infrastructural components as it is the case with typical complex intersection assistance systems. It also requires no additional information like right-of-way or maps and works out-of-the-box for nearly all types of intersections. The intersection assistance system utilizes GPS, yaw rate, vehicle acceleration, speed and heading as indicators for a 3D path prediction. While the x-y layer aids in the detection of possible collisions, the z axis is used for detecting bridges and overpasses. By applying several sophisticated filter levels and algorithms, the amount of false positives can massively be reduced while the true positives can be maintained. Finally, the developed simple intersection assistance system is compared to a sophisticated intersection assistance system.

With the huge improvements made during the last years in the area of integrated safety systems, they are one of the main contributors to the massively rising complexity within automotive systems. However, this enormous complexity stimulates the demand for methodologies supporting the efficient development of such systems, both in terms of cost and development time. Within this work, we propose a co-simulation-based approach for the validation of integrated safety systems. Based on data measurements gained from a test bed, models for the sensors and the distributed safety system are established. They are integrated into a co-simulation environment containing models of the ambience, driving dynamics, and the crash-behavior of the vehicle. Hence, the complete heterogeneous system including all relevant effects and dependencies is modeled within the co-simulation.

Automotive electronics are complex distributed embedded systems. The tight interconnection of the different functionalities (e.g. ABS, ESP) makes the network resource the backbone of the system. Time-triggered architectures and time-triggered communication systems such as FlexRay have been introduced in this context to support the development and integration of safety-relevant systems. An important enhancement to this approach is online monitoring and transparent diagnosis to ensure better assessment of the system status (faster fault detection) during operation. This is required for preventive maintenance in order to improve system availability. We propose a non-intrusive two steps method for the analysis of the communication architecture. In the first step, the system behavior is monitored at different abstraction levels by a dedicated tester node. The traces are analyzed online and the current system behavior is compared to the specification (e.g.

Efficient integration of mechanics and microelectronics components is nowadays a must within the automotive industry in order to minimize integration risks and support optimization of the entire system. We propose in this work a cross domain co-simulation platform for the efficient analysis of mechatronic systems. The interfacing of two state-of-the-art simulation platforms provides a direct link between the two domains at an early development stage, thus enabling the validation and optimization of the system already during modeling phase. The proposed cross-domain co-simulation is used within our TEODACS project for the analysis of the FlexRay technology. We illustrate using a drive-by-wire use case how the different architecture choices may influence the system.

One main challenge during the validation of automotive communication architectures is to consider the assembled system and more especially the interactions between the different components. We propose in this work a test and validation infrastructure based on tightly coupled co-simulation and prototype platforms. The co-simulation framework, on one hand, enables the efficient simulation of the entire network and the accurate analysis of the communication at different abstraction layers. On the other hand, the prototype framework is required for the model calibration and for the system validation on a realistic environment. We discuss further how the interconnection of these two platforms supports the analysis of both single components and entire communication networks. Experimental results illustrate our approach.