Browse Topic: Computer software and hardware
Recognizing the significant challenges inherent in the analysis of periodic gas flow through reciprocating engines, one can easily appreciate the value of studying the steady flow through cylinder heads, manifolds, and exhaust systems. In these studies, flow benches are the cornerstone of the experimental apparatus needed to validate theoretical results or to perform purely experimental analysis. The Metal-Mechanics Department of IFSC owns a SuperFlow model SF-110 flow bench that has suffered some in house maintenance and received electronic sensors to allow computerized data acquisition. As the essential original sensors in this flow bench were liquid column manometer (for pressure difference across the test subject) and micromanometer (for pressure difference across the orifice plate used to measure the flow), the essential new sensors are electronic differential pressure sensors (installed in parallel with the original ones). In recent decades, however, the use of a mass air flow
The advancement of the automotive industry towards automation has fostered a growing integration between this field and automation. Future projects aim for the complete automation of the act of driving, enabling the vehicle to operate independently after the driver inputs the desired destination. In this context, the use of simulation systems becomes essential for the development and testing of control systems. This work proposes the control of an autonomous vehicle through fuzzy logic. Fuzzy logic allows for the development of sophisticated control systems in simple, easily maintainable, and low-cost controllers, proving particularly useful when the mathematical model is subject to uncertainties. To achieve this goal, the PDCA method was adopted to guide the stages of defining the problem, implementation, and evaluation of the proposed model. The code implementation was done in Python and validated using different looping scenarios. Three linguistic variables were used, one with three
The term Software-Defined Vehicle (SDV) describes the vision of software-driven automotive development, where new features, such as improved autonomous driving, are added through software updates. Groups like SOAFEE advocate cloud-native approaches – i.e., service-oriented architectures and distributed workloads – in vehicles. However, monitoring and diagnosing such vehicle architectures remain largely unaddressed. ASAM’s SOVD API (ISO 17978) fills this gap by providing a foundation for diagnosing vehicles with service-oriented architectures and connected vehicles based on high-performance computing units (HPCs). For service-oriented architectures, aspects like the execution environment, service orchestration, functionalities, dependencies, and execution times must be diagnosable. Since SDVs depend on cloud services, diagnostic functionality must extend beyond the vehicle to include the cloud for identifying the root cause of a malfunction. Due to SDVs’ dynamic nature, vehicle systems
Emergence of Software Defined Vehicles (SDVs) presents a paradigm shift in the automotive domain. In this paper, we explore the application of Model-Based Systems Engineering (MBSE) for comprehensive system simulation within the SDV architecture. The key challenge for developing a system model for SDV using traditional methods is the document centric approach combined with the complexity of SDV. This MBSE approach can help to reduce the complexity involved in Software-Defined Vehicle Architecture making it more flexible, consistent, and scalable. The proposed approach facilitates the definition and analysis of functional, logical, and physical architecture enabling efficient feature and resource allocation and verification of system behaviour. It also enables iterative component analysis based on performance parameters and component interaction analysis (using sequence diagrams
Agile software development aims to create high-quality products while minimizing waste, reducing project costs. Nevertheless, costs are not decreasing despite shorter project cycles and more compact, flexible teams. One area where consideration is being given to reevaluating the stages in software product development is RT. Regression testing is a form of testing done to assure that changes done in Model do not adversely affect the software's functionality. As software develops, test suites typically expand and may become too expensive to run through in their entirety The initial application might have good set of test cases, and running the entire test suite could make testing more expensive. Three ways for reducing the cost of RT include test instance prioritization, test suite minimizing, and regression test selection. In order to verify that software satisfies customer requirements, identify faults or bugs in the code, and determine how to fix these issues to make the software more
In the rapidly evolving field of automotive engineering, the drive for innovation is relentless. One critical component of modern vehicles is the automotive ECU. Ensuring the reliability and performance of ECU is paramount, and this has led to the integration of advanced testing methodologies such as Hardware-in-the-Loop (HIL) testing. In conjunction with HIL, the adoption of Continuous Integration (CI) and Continuous Testing (CT) processes has revolutionized how automotive ECU are developed and validated. This paper explores the integration of CI and CT in HIL testing for automotive ECU, highlighting the benefits, challenges, and best practices. Continuous Integration and Continuous Test (CI/CT) are essential practices in software development. Continuous Integration process involves regularly integrating code changes into the main branch, ensuring that it does not interfere with the work of other developers. The CI/CT server automatically build and test code whenever a new commit is
The fusion of virtualized base software with simulation technologies has transformed the methods used for development and system testing. This paper examines the architecture, implementation, and advantages of employing virtualization to improve simulation environments. Virtualized base software enables the creation of isolated, scalable, and replicable settings, essential for executing complex simulations that replicate real-world situations. Utilizing virtualization enhances simulations by making them more efficient, flexible, and cost-effective. The study covers the essential elements of virtualized simulation platforms, such as containerization, network abstraction and virtual drivers. It also analyzes how these components collaborate to create a strong framework for simulating diverse applications, ranging from software testing to hardware emulation. This approach offers several benefits, including better resource utilization, quicker deployment times, and the flexibility to
With the trend of increasing technological complexity, software content and mechatronic implementation, there are increasing risks from systematic failures and random hardware failures, which is to be considered within the scope of functional safety. ISO 26262 series of standards provides guidance to mitigate these risks by providing appropriate requirements and processes. To develop a safe product with respect to above mentioned complexities, it is very critical to develop a safe system and hence a thorough and robust “Technical Safety Concept” is very important to ensure absence of unreasonable risk due to hazards caused by malfunctions of E/E systems. ISO26262-Part 4 provides guidelines for “Product development at the system level”, to design safety-related systems that include one or more electrical and/or electronic (E/E) systems and that are installed in series production road vehicles. Defining requirements at system level for each individual technology and systematically
The off-highway industry witnesses a vast growth in integrating new technologies such as advance driver assistance systems (ADAS/ADS) and connectivity to the vehicles. This is primarily due to the need for providing a safe operational domain for the operators and other people. Having a full perception of the vehicle’s surrounding can be challenging due to the unstructured nature of the field of operation. This research proposes a novel collective perception system that utilizes a C-V2X Roadside Unit (RSU)-based object detection system as well as an onboard perception system. The vehicle uses the input from both systems to maneuver the operational field safely. This article also explored implementing a software-defined vehicle (SDV) architecture on an off-highway vehicle aiming to consolidate the ADAS system hardware and enable over-the-air (OTA) software update capability. Test results showed that FEV’s collective perception system was able to provide the necessary nearby and non-line
U.S. Army Aberdeen Proving Ground, MD 866-570-7247
The final frontier in digital transformation is the analog edge, where apertures and actuators meet the mission. Buried behind layers of firmware and analog mitigation, open architecture has a new frontier to conquer, and the opportunity starts at the component level, where digital transformation and the miniaturization enabled by Moore's Law is having its biggest impact. Miniature, modular, and intelligent gateways can be embedded into analog components to replace and re-imagine old firmware and analog mitigation circuitry. These new, embedded gateways promise to bring open architecture deeper into the tactical edge and realize a new level of agility throughout the lifecycle of a system, from design through sustainment of hybrid digital and analog systems
At the Reuters Automotive USA 2024 conference in Detroit, SAE Media spoke with Stuart Taylor, chief product officer of Envorso, a consultancy with a mission to help OEMs and Tier 1 suppliers write better software. Companies have been plagued with issues around software written both in-house and via outside contractors
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