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Software complexity of vehicles is constantly growing especially with additional autonomous driving features being introduced. This increases the risk for bugs in the system, when the car is delivered. According to a car manufacturer, more than 90% of availability problems corresponding to Electronic Control Unit (ECU) functionality are either caused by software bugs or they can be resolved by applying software updates to overcome hardware issues. The main concern are sporadic errors which are not caught during the development phase since their trigger condition is too unlikely to occur or is not covered by the tests. For such systems, there is a need of safe and secure infield diagnosis. In this paper we present a tool software architecture with remote access, which facilitates standard read/write access, an efficient channel interface for communication and file I/O, and continuous trace.

Recently, vehicle networks have increased complexity due to the demand for autonomous driving or connected devices. This increasing complexity requires high bandwidth. As a result, vehicle manufacturers have begun using Ethernet-based communication for high-speed links. In order to deal with the heterogeneity of such networks where legacy automotive buses have to coexist with high-speed Ethernet links vehicle manufacturers introduced a vehicle gateway system. The system uses Ethernet as a backbone between domain controllers and CAN buses for communication between internal controllers. As a central point in the vehicle, the gateway is constantly exchanging vehicle data in a heterogeneous communication environment between the existing CAN and Ethernet networks. In an in-vehicle network context where the communications are strictly time-constrained, it is necessary to measure the delay for such routing task.

A variety of methodologies to use embedded multicore controllers efficiently has been discussed in the last years. Several assumptions are usually made in the automotive domain, such as static assignment of tasks to the cores. This paper shows an approach for efficient task allocation depending on different system modes. An engine management system (EMS) is used as application example, and the performance improvement compared to static allocation is assessed. The paper is structured as follows: First the control algorithms for the EMS will be classified according to operating modes. The classified algorithms will be allocated to the cores, depending on the operating mode. We identify mode transition points, allowing a reliable switch without neglecting timing requirements. As a next step, it will be shown that a load distribution by mode-dependent task allocation would be better balanced than a static task allocation.

The signal delivery and quality of sensor data is of growing importance for modern automotive control applications. Sensors tend to be calibrated subsystems that are designed to stay in a defined tolerance and thus can easily be modeled. Compared to this deterministic behavior the transmission channel is time variant due to EMC and aging of contacts for example. The use of analog signaling, which is the actual state of realization in many cases, is sensitive to the time variant effects mentioned before. This time variance is hard to consider for the control system development. In this paper we will analyze the role of the sensor in the signal supply chain and discuss approaches for digital sensor-ECU communication and their potential to establish a link, which allows neglecting low level effects of the channel.

The increasing legal requirements for safety, emission reduction, fuel economy and onboard diagnosis systems push the market for more innovative solutions with rapidly increasing complexity. Hence, the embedded systems that will have to control the automobiles have been developed at such an extent that they are now equivalent in scale and complexity to the most sophisticated avionics systems. This paper will demonstrate the key elements to provide a powerful, scalable and configurable solution that offers a migration pass to evolution and even revolution of automotive Sensors and Sensor interfaces. The document will explore different architectures and partitioning. Sensor technologies such as magnetic field sensors based on the hall effect as well as bulk and surface silicon micro machined sensors will be mapped to automotive applications by examples. Functions such as self-test, self-calibration and self-repair will be developed.

The increasing legal requirements for safety, emission reduction, fuel economy and onboard diagnosis systems is pushing the market for more innovative solutions with rapidly increasing complexity. Hence, the embedded systems that will have to control the automobiles have been developed at such an extent that they are now equivalent in scale and complexity to the most sophisticated avionics systems. The former analogue filter design is now replaced by digital signal processing. This paper will demonstrate the key elements to provide a powerful, scalable and configurable solution that offers a migration route to evolve and even revolutionize automotive electronics. To illustrate this migration toward digital processing the knock function has been developed. A simple RC filter is used as external anti-aliasing. To get the maximum flexibility the signal is very early converted and processed digitally. The micro-controller has been developed using a three-layered solution.

A mechatronic approach to implementing a BLDC motor drive control system is described. The partitioning method used allows the motor power to be scaled from around 100 watts to 1 kilowatt. The chosen approach maps the required electronic functionality to different existing front-end technologies. By drawing on vast experience with back-end technologies, especially chip-on-chip assembly, it is possible to implement a system in a one-package solution. The advantages of each technology are used to achieve a cost-effective, space-saving solution.

In terms of modern technical systems, the automotive sector is characterized by escalating complexity and functionality requirements. The development of embedded control systems has to meet highest demands regarding process-, time- and cost-optimization. Hence, the efficiency of software development becomes a crucial competitive advantage. Systems design engineers need effective tools and methods to achieve exemplary speed and productivity within the development phase. To obtain such tools and methods, semiconductor manufacturers and tool manufacturers must work closely together. Within the joint efforts of ETAS and Infineon, the software tool suite ASCET-SD was enhanced to generate efficient C code for Infineon's TriCore architecture mapped on ETAS's real-time operating system ERCOSEK. The processor interface to application & calibration tools was realized using the ETK probe based on a JTAG/Nexus link at very high bandwidth.

The recent improvements in automotive electronics have had a tremendous impact on safety, comfort and emissions. But the continuous increase of the volume of electronic equipment in cars (representing more than 25% of purchasing volume) as well as the increasing system complexity represent a new challenge to quality, post-sales customer support and maintenance. Identifying a fault in a complex network of ECUs, where the different functions are getting more and more intricate, is not an easy task. It can be shown that with the levels of reliability common in 1980, an upper-range automobile of today could never function fault-free. On-Board-Diagnostics (OBD) concepts are emerging to assist the maintenance personnel in localizing the source of a problem with high accuracy, reducing the vehicle repair time, repair costs and costs of warranty claims.