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The newly released Distributed System Interface 3 (DSI3) Bus Standard specification defines three modulation levels form which 16 valid symbols are coded. This complex structure is best decoded with symbol pattern recognition. This paper proposes a simplification of the correlation score calculation that sharply reduces the required number of operations. Additionally, the paper describes how the pattern recognition is achieved using correlation scores and a decoding algorithm. The performance of this method is demonstrated by mean of simulations with different load models between the master and the sensors and varying noise injection on the channel. We prove than the pattern recognition can decode symbols without any error for up to 24dBm.

More than ever, microcontroller performance in cars has a direct impact on the driving experience, on compliance with improved safety, ever-stricter emissions regulations, and on fuel economy. The simple microcontrollers formerly used in automobiles are now being replaced by powerful number-crunchers with incredible levels of peripheral integration. As a result, performance can no longer be measured in MIPS (Millions of Instructions Per Second). A microcontroller's effectiveness is based on coherent partitioning between analog and digital, hardware and software, tools and methodology. To make an informed choice among the available devices, the designer needs benchmarks that are specific to automotive applications, and which provide a realistic representation of how the device will perform in the automotive environment.

More than ever, microcontroller performance in cars has a direct impact on the driving experience, on compliance with improved safety, ever-stricter emissions regulations, and on fuel economy. The simple microcontrollers formerly used in automobiles are now being replaced by powerful number-crunchers whose performance can no longer be measured in MIPS. Instead, their effectiveness is based on a coherent partitioning between analog and digital, hardware and software, tools and methodology. To make an informed choice among the available devices, what the designer needs are benchmarks that are specific to automotive applications, and which provide a realistic representation of how the device will perform in the automotive environment. This presentation will explore the role of new benchmarks in the development of complex automotive applications.

This paper considers the verification of non-standard CAN network topologies of the physical layer at high speed transmission rate (500.0Kbps and 1.0Mbps). These network topologies including single star, multiple stars, and hybrid topologies (multiple stars in combination with linear bus or with ring topology) are simulated by using behavior modeling language (VHDL-AMS) in comparison to measurement. Throughout the verification process, CAN transceiver behavioral model together with other CAN physical layer simulation components have been proved to be very accurate. The modeling of measurement environment of the CAN network is discussed, showing how to get the measurement and simulation results well matched. This demonstrates that the simulation solution is reliable, which is highly desired and very important for the verification requirement in CAN physical layer design.

Infineon's latest high-end automotive microcontrollers like TC1796 are complex Systems On Chip (SoC) with two processor cores and up to two internal multi-master buses. The complex interaction between cores, peripherals and environment provides a big challenge for debugging. For mission critical control like engine management the debugging approach must not be intrusive. The provided solution are dedicated Emulation Devices which are able to deal with several 10 Gbit/s of raw internal trace data with nearly no cost adder for mass production and system design. Calibration, which is used later in the development cycle, has different requirements, but is covered by the Emulation Devices as well. The architecture of TC1796ED comprises the unchanged TC1796 silicon layout, extended by a full In-Circuit Emulator (ICE) and calibration overlay memory on the same die. In most cases, the only debug/calibration tool hardware needed is a USB cable.

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.

This paper outlines the results of a study performed to analyze the mission of TTCAN from applications to products for automotive systems. As commonly acknowledged communication is one of the key elements for future and even present systems such as an automobile. A dramatically increasing number of busses and gateways even in low- to midrange vehicles is putting significant burden upon the validation scenario as well as the cost. Accordingly, numerous new initiatives have been started worldwide in order to find solutions to this; some of them by the definition of enhanced or new protocols. This paper shall have a look particular on the new standard of TTCAN (time-triggered communication on CAN). This protocol is based on the CAN data link layer as specified in ISO 11898-1 and may use standardized CAN physical layers such as specified in ISO 11898-2 (high-speed transceiver) or in ISO 11898-3 (fault-tolerant low-speed transceiver).

Integration scenarios for ECU software become more complicated, as more constraints with regards to timing, safety and security need to be considered. Multi-core microcontrollers offer even more hardware potential for integration scenarios. To tackle the complexity, more and more model based approaches are used. Understanding the interaction between the different software components, not only from a functional but also from a timing view, is a key success factor for high integration scenarios. In particular for multi-core systems, an amazing amount of timing data can be generated. Usually a multi-core system handles more software functionality than a single-core system. Furthermore, there may be timing interference on the multicore systems, due to the shared usage of buses, memory banks or other hardware resources.

Automotive powertrain and safety systems under design today are highly complex, incorporating more than one CPU core, running with more than 100 MHz and consisting of several 10 million transistors. Software complexity increases similarly making new methodologies and tools mandatory to manage the overall system. The use of accurate virtual prototypes improves the quality of systems with respect to system architecture design and software development. This approach is demonstrated with the example of the PCP/GPTA subsystem for Infineon's AUDO-NG powertrain controllers.

For the past approximately 20 years, the Serial Peripheral Interface (SPI) has been the established standard for serial communication between a host or central microprocessor and peripheral devices. This standard has been used extensively in control modules covering the entire spectrum of automotive applications, as well as non-automotive applications. As the complexity of engine control modules grows, with the number of vehicle actuators being controlled and monitored increasing, the number of loads the central microprocessor has to manage is growing accordingly. These loads are typically controlled using discrete and pulse-width modulated (PWM) outputs from the microcontroller when real-time operation is essential or via SPI when real-time response is not critical. The increase of already high pin-count on microcontrollers, the associated routing effort and demand for connected power stages is a concern of cost and reliability for future ECU designs.

Classic vehicle production had limitations in bringing the driving commands to the actuators for vehicle motion (engine, steering and braking). Steering columns, hydraulic tubes or steel cables needed to be placed between the driver and actuator. Change began with the introduction of e-gas systems. Mechanical cables were replaced by thin, electric signal wires. The technical solutions and legal standardizations for addressing the steering and braking systems, were not defined at this time. Today, OEMs are starting E/E-Architecture transformations for manifold reasons and now have the chance to remove the long hydraulic tubes for braking and the solid metal columns used for steering. X-by-wire is the way forward and allows for higher Autonomous Driving (AD) levels for automated driving vehicles. This offers new opportunities to design the vehicle in-cabin space. This paper will start with the introduction of x-by-wire technologies.

This paper will give an overview of multicore in automotive applications, covering the trends, benefits, challenges, and implementation scenarios. The automotive silicon industry has been building multicore and multiprocessor systems for a long time. The reasons for this choice have been: increased performance, safety redundancy, increased I/O & peripheral, access to multiple architectures (performance type e.g. DSP) and technologies. In the past, multiprocessors have been mainly considered as multi-die, multi-package with simple interconnection such as serial or parallel busses with possible shared memories. The new challenge is to implement a multicore, micro-processor that combines two or more independent processors into a single package, often a single integrated circuit (IC). The multicores allow a computing device to exhibit some form of thread-level parallelism (TLP).

The standard ISO 26262 stipulates a “top-down” approach based on the process “V” model, by conducting a hazard analysis and risk assessment to determine the safety goals, and subsequently derives the safety requirements down to the appropriate element level. The specification of safety goals is targeted towards identified hazardous events, whereas the classification of safety requirements does not always turn out non-ambiguous. While requirement formalization turns out to be advantageous, the translation from natural language to semi-formal requirements, especially in context of ISO 26262, poses a problem. In this publication, a new approach for the formalization of safety requirements is introduced, targeting the demands of safety standard ISO 26262. Its part 8, clause 6 (“Specification and management of safety requirements”) has no dedicated work product to accomplish this challenging task.

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.