Additive manufacturing (AM), also known as “3D printing,” now provides the ability to have an almost fully digital chain from part design through manufacture and service. This “digital thread” can bring great benefits in improving designs, processes, materials, operations, and the ability to predict failure in a way that maximizes safety and minimizes cost and downtime. Unsettled Aspects of the Digital Thread in Additive Manufacturing discusses what the interplay between AM and a digital thread in the mobility industry would look like, the potential benefits and costs, the hurdles that need to be overcome for the combination to be useful, and how an organization can answer these questions to scope and benefit from the combination. Click here to access the full SAE EDGETM Research Report portfolio.
Automotive cybersecurity issues are becoming more prominent than ever. SAE J3061 and ISO/SAE 21434 being drafted also indicate that automotive cybersecurity has been elevated to a position equal to or more important than functional safety. ...SAE J3061 and ISO/SAE 21434 being drafted also indicate that automotive cybersecurity has been elevated to a position equal to or more important than functional safety. ...Security threat analysis helps the development of the early concept phase of automotive cybersecurity. However, the threat analysis based on the traditional attack tree has the disadvantages of multiple subjective factors and low accuracy.
This recommended practice provides guidance on vehicle Cybersecurity and was created based off of, and expanded on from, existing practices which are being implemented or reported in industry, government and conference papers. ...Other proprietary Cybersecurity development processes and standards may have been established to support a specific manufacturer’s development processes, and may not be comprehensively represented in this document, however, information contained in this document may help refine existing in-house processes, methods, etc. ...This recommended practice establishes a set of high-level guiding principles for Cybersecurity as it relates to cyber-physical vehicle systems. This includes: • Defining a complete lifecycle process framework that can be tailored and utilized within each organization’s development processes to incorporate Cybersecurity into cyber-physical vehicle systems from concept phase through production, operation, service, and decommissioning. • Providing information on some common existing tools and methods used when designing, verifying and validating cyber-physical vehicle systems. • Providing basic guiding principles on Cybersecurity for vehicle systems. • Providing the foundation for further standards development activities in vehicle Cybersecurity.
Software-in-the-Loop (SiL) test environments are the ideal virtual platforms for enabling continuous-development, -integration, -testing -delivery or -deployment commonly referred as Continuous-X (CX) of the complex functionalities in the current automotive industry. This trend especially is contributed by several factors such as the industry wide standardization of the model exchange formats, interfaces as well as architecture definitions. The approach of frontloading software testing with SiL test environments is predominantly advocated as well as already adopted by various Automotive OEMs, thereby the demand for innovating applicable methods is increasing. However, prominent usage of the existing monolithic architecture for interaction of various elements in the SiL environment, without regarding the separation between functional and non-functional test scope, is reducing the usability and thus limiting significantly the cost saving potential of CX with SiL.
With the introduction of Connected Vehicles, it is possible to extend the limited horizon of vehicles on the road by collective perceptions, where vehicles periodically share their information with other vehicles and servers using cloud. Nevertheless, by the time the connected vehicle spread expands, it is critical to understand the validation techniques which can be used to ensure a flawless transfer of data and connectivity. Connected vehicles are mainly characterized by the smartphone application which is provided to the end customers to access the connectivity features in the vehicle. The end result which is delivered to the customer is through the integrated telematics unit in the vehicle which communicates through a communication layer with the cloud platform. The cloud server in turn interacts with the final application layer of the mobile application given to the customer.
Quality is what determines success or failure. If products are not error-free, reliable and robust, customers will be put off. Criticism is inevitable. Bosch is focusing on this theme and taking appropriate action to improve the quality of automotive software. Runtime errors most often refer to issues that appear during the execution of a program like buffer overflow issues and pointer access out of bounds. They are important to detect as they may cause critical safety, security or business operation concerns. They can potentially cause the critical systems of high-integrity applications to fail, leading to disastrous results and they have been blamed as the root cause of system failure in high-profile examples in automotive software. This has resulted in identifying run-time error detection as critical field of interest where safety-critical embedded software has to satisfy stringent quality requirements by all contemporary safety standards where no run-time errors must occur.