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Research Report

Unsettled Aspects of the Digital Thread in Additive Manufacturing

2021-11-15
EPR2021026
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.
Technical Paper

Towards Establishing Continuous-X Pipeline Using Modular Software-in-the-Loop Test Environments

2021-09-22
2021-26-0412
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.
Technical Paper

Improved Run Time Error Analysis Using Formal Methods for Automotive Software - Improvement of Quality, Cost Effectiveness and Efforts to Proactive Defects Check

2021-09-22
2021-26-0459
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.
Technical Paper

Onboard Cybersecurity Diagnostic System for Connected Vehicles

2021-09-21
2021-01-1249
Here, we discuss the On-Board Diagnostic (OBD) regulations for next generation BEV/HEV, its vulnerabilities and cybersecurity threats that come with hacking. We propose three cybersecurity attack detection and defense methods: Cyber-Attack detection algorithm, Time-Based CAN Intrusion Detection Method and, Feistel Cipher Block Method. ...These control methods autonomously diagnose a cybersecurity problem in a vehicle’s onboard system using an OBD interface, such as OBD-II when a fault caused by a cyberattack is detected, All of this is achieved in an internal communication network structure.
Technical Paper

Streamlined Process for Cloud Based Diagnostics Using Amazon Web Services

2021-04-06
2021-01-0159
In the age of 5G, the cloud constitutes a massive computational resource. Such capability is greatly underutilized, especially for the purpose of vehicle diagnostics and prognostics. Diagnostics and prognostics run mostly in the limited and cost sensitive electronic module of the vehicle. Utilizing vehicle connectivity, along with the massive capability of the cloud would allow the deployment of smarter algorithms that provide improved vehicle performance and operation management. In this paper, a streamlined process to develop and deploy off-board diagnostics is presented. The process included developing multiphysics digital twins and running the diagnostics off-board. It was demonstrated on a fleet of virtual Hybrid Electric Vehicles (HEV). The Digital Twin replica was created using Simulink® and Simscape®. The microcontroller used to demonstrate the diagnostic is a Raspberry Pi hardware running in real time.
Technical Paper

Cybersecurity Metrics for Automotive Systems

2021-04-06
2021-01-0138
With the increased need for cybersecurity in automotive systems due to the development of more advanced technologies and corresponding increased threat vectors, coupled with the upcoming ISO/SAE 21434 cybersecurity standard for automotive systems and cybersecurity regulations in UNECE WP.29, it is becoming increasingly important for auto manufacturers and suppliers to have a clear and common understanding and agreement of cybersecurity metrics for the development and deployment of vehicles. ...Cybersecurity for automotive systems is challenging and one of the major challenges is how to measure this specific system property. ...With the increased need for cybersecurity in automotive systems due to the development of more advanced technologies and corresponding increased threat vectors, coupled with the upcoming ISO/SAE 21434 cybersecurity standard for automotive systems and cybersecurity regulations in UNECE WP.29, it is becoming increasingly important for auto manufacturers and suppliers to have a clear and common understanding and agreement of cybersecurity metrics for the development and deployment of vehicles.
Technical Paper

Deep Learning Based Real Time Vulnerability Fixes Verification Mechanism for Automotive Firmware/Software

2021-04-06
2021-01-0183
Software vulnerability management is one of the most critical and crucial security techniques, which analyzes the automotive software/firmware across the digital cockpit, ADAS, V2X, etc. domains for vulnerabilities, and provides security patches for the concerned Common Vulnerabilities and Exposures (CVE). The process of automotive SW/FW vulnerability management system between the OEMs and vendors happen through a channel of fixing a certain number of vulnerabilities by 1st tier supplier which needs to be verified in front of OEMs for the fixed number and type of patches in there deliverable SW/FW. The gap of verification between for the fixed patches between the OEMs and 1st tier supplier requires a reliable human independent intelligent technique to have a trustworthiness of verification.
Journal Article

Implementation Methodologies for Simulation as a Service (SaaS) to Develop ADAS Applications

2021-04-06
2021-01-0116
Over the years, the complexity of autonomous vehicle development (and concurrently the verification and validation) has grown tremendously in terms of component-, subsystem- and system-level interactions between autonomy and the human users. Simulation-based testing holds significant promise in helping to identify both problematic interactions between component-, subsystem-, and system-levels as well as overcoming delays typically introduced by the default full-scale on-road testing. Software in Loop (SiL) simulation is utilized as an intermediate step towards software deployment for autonomous vehicles (AV) to make them reliable. SiL efforts can help reduce the resources required for successful deployment by helping to validate the software for millions of road miles. A key enabler for accelerating SiL processes is the ability to use Simulation as a Service (SaaS) rather than just isolated instances of software.
Technical Paper

Service Analysis of Autonomous Driving

2020-12-30
2020-01-5194
Autonomous driving represents the ultimate goal of future automobile development. As a collaborative application that integrates vehicles, road infrastructure, network and cloud, autonomous driving business requires a high-degree dynamic cooperation among multiple resources such as data, computing and communications that are distributed throughout the system. In order to meet the anticipated high demand for resources and performance requirements of autonomous driving, and to ensure the safety and comfort of the vehicle users and pedestrians, a top concern of autonomous driving is to understand the system requirements for resources and conduct an in-depth analysis of the autonomous driving business. In this context, this paper presents a comprehensive analysis of the typical business for autonomous driving and establishes an analysis model for five common capabilities, i.e. collection, transmission, intelligent computing, human-machine interaction (HMI), and security.
Research Report

Unsettled Topics Concerning Adopting Blockchain Technology in Aerospace

2020-10-30
EPR2020021
In the aerospace industry, competition is high and the need to ensure safety and security while managing costs is paramount. Furthermore, stakeholders—who gain the most by working together—do not necessarily trust each other. Now, mix that with changing enterprise technologies, management of historical records, and customized legacy systems. This issue touches all aspects of the aerospace industry, from frequent flyer miles to aircraft maintenance and drives tremendous inefficiency and cost. Technology that augments, rather than replaces, is needed to transform these complex systems into efficient, digital processes. Blockchain technology offers collaborative opportunities for solving some of the data problems that have long challenged the industry. This SAE EDGE™ Research Report by Rhonda D. Walthall examines how blockchain technology could impact the aerospace industry and addresses some of the unsettled concerns surrounding its implementation.
Research Report

Unsettled Topics Concerning Autonomous Public Transportation Systems

2020-10-30
EPR2020020
With billions of dollars of investment and events like DARPA’s Grand Challenges automated driving technology has been making its way toward commercialization. While the enabling technology for SAE Level 4 and 5 automated vehicles (AV) has not yet matured, specific restricted-use models such as “robo-taxis” and automated truck convoying show great promise. Now, cities are across the world are looking to AVs to solve their public transportation issues. With low speeds and fixed route, public transportation is an ideal application for AVs. From a business angle, AVs could leverage existing public transport models and infrastructure while providing superior quality of service for disadvantaged communities. Yet, dense urban environments—which would benefit from automated transportation the most—present unique challenges and public sector requirements. This SAE EDGE™ Research Report by Dr.
Research Report

Unsettled Topics Concerning Airworthiness Cybersecurity Regulation

2020-08-31
EPR2020013
Its extensive application of data networks, including enhanced external digital communication, forced the Federal Aviation Administration (FAA), for the first time, to set “Special Conditions” for cybersecurity. In the 15 years that ensued, airworthiness regulation followed suit, and all key rule-, regulation-, and standard-making organizations weighed in to establish a new airworthiness cybersecurity superset of legislation, regulation, and standardization. ...In the 15 years that ensued, airworthiness regulation followed suit, and all key rule-, regulation-, and standard-making organizations weighed in to establish a new airworthiness cybersecurity superset of legislation, regulation, and standardization. The resulting International Civil Aviation Organization (ICAO) resolutions, US and European Union (EU) legislations, FAA and European Aviation Safety Agency (EASA) regulations, and the DO-326/ED-202 set of standards are already the de-facto, and soon becoming the official, standards for legislation, regulation, and best practices, with the FAA already mandating it to a constantly growing extent for a few years now—and EASA adopting the set in its entirety in July 2020.
Technical Paper

Hypervisor Implementation in Vehicle Networks

2020-04-14
2020-01-1334
The hypervisor offers many benefits to the vehicle architecture, both operationally and with cybersecurity. The proposed mitigant provides the structure to partition the various VMs. This allows for the different functions to be managed within their own distinct VM. ...While the cybersecurity applications are numerous, there are also the operational benefits. The hypervisor is designed to not only manage the VMs, but also to increase the efficiency of these via resource management.
Journal Article

Chip and Board Level Digital Forensics of Cummins Heavy Vehicle Event Data Recorders

2020-04-14
2020-01-1326
Crashes involving Cummins powered heavy vehicles can damage the electronic control module (ECM) containing heavy vehicle event data recorder (HVEDR) records. When ECMs are broken and data cannot be extracted using vehicle diagnostics tools, more invasive and low-level techniques are needed to forensically preserve and decode HVEDR data. A technique for extracting non-volatile memory contents using non-destructive board level techniques through the available in-circuit debugging port is presented. Additional chip level data extraction techniques can also provide access to the HVEDR data. Once the data is obtained and preserved in a forensically sound manner, the binary record is decoded to reveal typical HVDER data like engine speed, vehicle speed, accelerator pedal position, and other status data. The memory contents from the ECM can be written to a surrogate and decoded with traditional maintenance and diagnostic software.
Research Report

Unsettled Topics Concerning Automated Driving Systems and the Development Ecosystem

2020-03-17
EPR2020004
With over 100 years of operation, the current automobile industry has settled into an equilibrium with the development of methodologies, regulations, and processes for improving safety. In addition, a nearly $2-trillion market operates in the automotive ecosystem with connections into fields ranging from insurance to advertising. Enabling this ecosystem is a well-honed, tiered supply chain and an established development environment. Autonomous vehicle (AV) technology is a leap forward for the existing automotive industry; now the automobile is expected to manage perception and decision-making tasks. The safety technologies associated with these tasks were presented in an earlier SAE EDGE™ Research Report, “Unsettled Technology Areas in Autonomous Vehicle Test and Validation.”
Research Report

Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

2020-03-17
EPR2020003
Game-changing opportunities abound for the application of vehicle health management (VHM) across multiple transportation-related sectors, but key unresolved issues continue to impede progress. VHM technology is based upon the broader field of advanced analytics. Much of traditional analytics efforts to date have been largely descriptive in nature and offer somewhat limited value for large-scale enterprises. Analytics technology becomes increasingly valuable when it offers predictive results or, even better, prescriptive results, which can be used to identify specific courses of action. It is this focus on action which takes analytics to a higher level of impact, and which imbues it with the potential to materially impact the success of the enterprise. Artificial intelligence (AI), specifically machine learning technology, shows future promise in the VHM space, but it is not currently adequate by itself for high-accuracy analytics.
Research Report

Unsettled Impacts of Integrating Automated Electric Vehicles into a Mobility-as-a-Service Ecosystem and Effects on Traditional Transportation and Ownership

2019-12-20
EPR2019004
The current business model of the automotive industry is based on individual car ownership, yet new ridesharing companies such as Uber and Lyft are well capitalized to invest in large, commercially operated, on-demand mobility service vehicle fleets. Car manufacturers like Tesla want to incorporate personal car owners into part-time fleet operation by utilizing the company’s fleet service. These robotaxi fleets can be operated profitably when the technology works in a reliable manner and regulators allow driverless operation. Although Mobility-as-a-Service (MaaS) models of private and commercial vehicle fleets can complement public transportation models, they may contribute to lower public transportation ridership and thus higher subsidies per ride. This can lead to inefficiencies in the utilization of existing public transportation infrastructure.
Research Report

Unsettled Topics Concerning Automated Driving Systems and the Transportation Ecosystem

2019-11-05
EPR2019005
Over the last 100 years, the automobile has become integrated in a fundamental way into the broader economy. A broad and deep ecosystem has emerged, and critical components of this ecosystem include insurance, after-market services, automobile retail sales, automobile lending, energy suppliers (e.g., gas stations), medical services, advertising, lawyers, banking, public planners, and law enforcement. These components - which together represent almost $2 trillion of the U.S. economy - are in equilibrium based on the current capabilities of automotive technology. However, the advent of autonomous vehicles (AVs) and technologies like electrification have the potential to significantly disrupt the automotive ecosystem. The critical cog governing the rate and pace of this shift is the management of the test and verification of AVs.
Technical Paper

High Performance Processor Architecture for Automotive Large Scaled Integrated Systems within the European Processor Initiative Research Project

2019-04-02
2019-01-0118
Autonomous driving systems and connected mobility are the next big developments for the car manufacturers and their suppliers during the next decade. To achieve the high computing power needs and fulfill new upcoming requirements due to functional safety and security, heterogeneous processor architectures with a mixture of different core architectures and hardware accelerators are necessary. To tackle this new type of hardware complexity and nevertheless stay within monetary constraints, high performance computers, inspired by state of the art data center hardware, could be adapted in order to fulfill automotive quality requirements. The European Processor Initiative (EPI) research project tries to come along with that challenge for next generation semiconductors. To be as close as possible to series development needs for the next upcoming car generations, we present a hybrid semiconductor system-on-chip architecture for automotive.
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