MathWorks Automotive Conference 2024 Europe

The automotive industry's move toward software-defined vehicles (SDVs) prompts a reevaluation of conventional E/E architectures. This presentation analyzes the transition to SDVs, focusing on the impact on the development and integration of advanced features on cross-domain target platforms. The discussion centers on the shift from distributed to centralized E/E architectures, which is essential for supporting ongoing feature enhancements and updates.

The FEV demonstrator project serves as a case study illustrating the application of a cross-domain central controller within a software-centric architecture. This project demonstrates the utility of service-oriented architectures and Model-Based Design workflows in creating scalable, adaptable vehicle systems that accommodate software updates post-production.

Participants will hear a technical perspective on current trends in SDV architecture, offering insights into how these developments are managed to maintain a competitive edge in the industry.

A large part of the future value of vehicles is going to be defined by software. While the automotive industry is adopting many development methodologies from the internet and mobile phone industry, it is important to consider safety and security as crucial requirements. Highly automated build and test systems—software factories—are a common practice, but what is necessary to make them ready for automotive? Frequent over-the-air updates are key to being able to react to security threats, but what is necessary to ensure that the safety of the vehicle is not compromised as a side effect? In this presentation, see how simulation and Model-Based Design can help in achieving the software quality and security that customers are expecting and integrating with automated build systems to enable the development speed and agility required to fully deliver the promise of software-defined vehicles.

In the rapidly evolving landscape of the automotive industry, cybersecurity has transitioned from an optional enhancement to an absolute necessity. The intricate nature of securing automotive systems presents a multifaceted challenge, characterized by uncertainty and the need for continuous iteration under stringent time constraints. This is primarily due to the relentless occurrence of new cyber threats, necessitating persistent vigilance and recurring updates to the embedded systems.

This presentation showcases Model-Based Design as a way to alleviate the complexities inherent in automotive cybersecurity certification. Model-Based Design serves to maintain the integrity, completeness, and consistency of certification artifacts within a singular, cohesive engineering environment. Learn how to use System Composer™ and Simulink Fault Analyzer™ to conduct integrated security risk assessments, how Requirements Toolbox™ provides end-to-end traceability of security goals, how to use Control Systems Toolbox™ to implement countermeasures that can detect replay attacks, and how to efficiently create and qualify your security patches by leveraging change impact analysis, Embedded Coder^®, and static analysis.

The eDaily is Iveco Group's new electric light commercial vehicle, launched in 2023. At its core, the vehicle control unit (VCU) represents its brain, working as the center of a sophisticated star-based control system. The VCU oversees various aspects of the vehicle such as traction control, thermal systems, recharging processes, the entire HV domain, HMI components, and more. To keep full control over the vehicle software, Iveco developed the VCU application software internally, establishing a dedicated team of software engineers and defining related processes, methods, and tools.

This presentation illustrates how Iveco Group choose an approach based on Model-Based Design leveraging MATLAB^® products. By making use of libraries, data dictionaries, and referenced models, we designed a completely new software architecture to create a clear separation between the application software and the basic software, and to make the application software easily reusable over different projects. We reserved part of the software for safety monitors to achieve compliance with ISO 26262.

Safety-related software was qualified with Simulink Test™, Simulink Report Generator™, and Polyspace^®. By integrating SVN into our Simulink^® project, we designed a development process where multiple software engineers can work in parallel in an agile manner, achieving near-daily software releases. We created a virtual vehicle where our whole VCU application software can be integrated and tested. By using model variants, we made the virtual vehicle effortlessly convertible in the emulation engine of the hardware-in-the-loop testbench for our VCU. Finally, many of the actions needed to build and test the software have been automated via scripts to obtain an effective CI/CT pipeline.

This talk will demonstrate an approach to fault effect and safety analysis conducted through simulation. The focus will be on a methodology that allows for the injection of faults into a system model without necessitating any changes to the initial design. This technique is applicable to a variety of modeling environments and is particularly adept at handling faults that are either timed or conditionally triggered by the system's behavior.

Participants will gain insights into how to examine the impact of faults using simulation inspection tools to assess the robustness of their systems. The talk will also address the execution of comprehensive safety analyses, including the industry-standard failure mode and effects analysis (FMEA), by leveraging the detailed insights that simulation provides.

The session will further reveal strategies for establishing clear and formalized connections between system faults, associated hazards, and the logic for fault detection and mitigation. These strategies are crucial for creating a thorough safety analysis framework that can be integrated into the overall system design process.

In recent years, the shift towards sustainable mobility has become a pivotal focus within the automotive sector, largely in response to the stringent emission standards set by European legislation. Among the solutions explored, Battery Electric Vehicles (BEVs) stand out as a viable option for achieving these sustainability goals since they do not cause any local emissions. However, the adoption of BEVs is hampered by concerns over their limited range compared to traditional combustion engine vehicles, making range estimation a critical aspect of BEV development.

In this presentation you will learn how to build a virtual vehicle model of a BEV designed to estimate range and consumption. The virtual vehicle comprises models for powertrain, driveline, and thermal management. Following a brief presentation of the model, it will be used to highlight the impact of different parameters on vehicle consumption and range.