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Event

Program - COMVEC™

2022-01-28
The 2022 COMVEC™ technical program focused on the commercial vehicle industry's crucial topics such as electrification, connectivity, off-highway, cybersecurity, autonomous and more!
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

Cyber-security for Engine ECUs: Past, Present and Future

2015-09-01
2015-01-1998
In this paper, we outline past, present and future applications of automotive security for engine ECUs. Electronic immobilizers and anti-tuning countermeasures have been used for several years. Recently, OEMs and suppliers are facing more and more powerful attackers, and as a result, have introduced stronger countermeasures based on hardware security. Finally, with the advent of connected cars, it is expected that many things that currently require a physical connection will be done remotely in a near future. This includes remote diagnostics, reprogramming and engine calibration.
Standard

Permanently or Semi-Permanently Installed Diagnostic Communication Devices, Security Guidelines

2020-03-04
CURRENT
J3005-2_202003
The scope of the document is to define the cyber-security best practices to reduce interference with normal vehicle operation, or to minimize risk as to unauthorized access of the vehicle's control, diagnostic, or data storage system; access by equipment (i.e., permanently or semi-permanently installed diagnostic communication device, also known as dongle, etc.) which is either permanently or semi-permanently connected to the vehicle's OBD diagnostic connector, either SAE J1939-13, SAE J1962, or other future protocol; or hardwired directly to the in-vehicle network.
Standard

Unmanned Systems (UxS) Control Segment (UCS) Architecture: Architecture Technical Governance

2020-08-12
CURRENT
AS6522A
This Technical Governance is part of the SAE UCS Architecture Library and is primarily concerned with the UCS Architecture Model (AS6518) starting at Revision A and its user extensions. Users of the Model may extend it in accordance with AS6513 to meet the needs of their UCS Products. UCS Products include software components, software configurations and systems that provide or consume UCS services. For further information, refer to AS6513 Revision A or later. Technical Governance is part of the UCS Architecture Framework. This framework governs the UCS views expressed as Packages and Diagrams in the UCS Architecture Model.
Technical Paper

Securing J1939 Communications Using Strong Encryption with FIPS 140-2

2017-03-28
2017-01-0020
Since 2001, all sensitive information of U.S. Federal Agencies has been protected by strong encryption mandated by the Federal Information Processing Standards (FIPS) 140-2 Security Requirements. The requirements specify a formal certification process. The process ensures that validated encryption modules have implemented the standard, and have passed a rigorous testing and review processes. Today, this same strong security protection has become possible for vehicle networks using modern, cost-effective encryption in hardware. This paper introduces the motivation and context for the encryption diagnostics security in terms of all vehicles in general, not just trucks which use SAE J1939 communications. Several practical scenarios for using such encryption hardware and the advantages of using hardware compared to software private-key encryption and public-key encryption are described.
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.
Magazine

SAE Off-Highway Engineering: August 5, 2015

2015-08-05
Making sense of autonomy Industry offers a range of sensors that will free humans from many tasks while also improving reliability, though devising strategies that meet demanding requirements without breaking the bank is no easy challenge. Life-cycle planning-Design and calibration for ultimate efficiency The ultimate power of Big Data technologies relies on the implementation of new strategies. Unlike a traditional engine calibration process, in which only calibration test data and model simulation data are used, multiple source data introduced into the adaptive engine calibration process contributes to efficiency and cost reduction. The complicated future of off-highway engines Developing an optimum engine is getting tricky now that the European Union has established a Stage V for off-highway engines, and the U.S. has not. What effect will this have on future engine designs?
Magazine

SAE Truck & Off-Highway Engineering: August 2020

2020-08-06
Big future for e-axles, advanced motors Top transmission engineers claim driveline electrification will transform everything from all-wheel drive to Class 8 tractor-trailers. Big data's benefits keep a-comin' Gigabytes of data are being collected and increasingly mined to improve field operations, maintenance and even vehicle design. Transformative times Despite a challenging climate, technology development progresses - as does the sharing of innovative ideas - virtually. Editorial Zeroing in on zero emissions Softing envisions secure, reliable predictive maintenance Reconstructing accidents in the ADAS age Paving the way to improved truck fuel efficiency Nikola looks to accelerate production, hydrogen infrastructure Mecalac designs unique-pivoting swing loader Q&A' Horiba's Joshua Israel discusses complex regulatory landscape's impact on commercial-vehicle development and shift to electrification.
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 Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation

2019-12-06
EPR2019007
This SAE EDGE™ Research Report identifies key unsettled issues of interest to the automotive industry regarding the challenges of achieving optimal model fidelity for developing, validating, and verifying vehicles capable of automated driving. Three main issues are outlined that merit immediate interest: First, assuring that simulation models represent their real-world counterparts, how to quantify simulation model fidelity, and how to assess system risk. Second, developing a universal simulation model interface and language for verifying, simulating, and calibrating automated driving sensors. Third, characterizing and determining the different requirements for sensor, vehicle, environment, and human driver models. SAE EDGE™ Research Reports are preliminary investigations of new technologies.
Magazine

SAE Off-Highway Engineering: April 8, 2015

2015-04-08
Hydraulics still in control of off-highway needs Engineers continue to master electronic controllers and software to help systems manage engine speeds and boost efficiency, to the ultimate benefit of both OEMs and end-users. Off-highway calibration challenges-big and complex As the final set of Tier 4 regulations kick in for engines greater than 750 hp (560 kW), calibration efforts must contend with complex engine and aftertreatment systems. Engine manufacturers and service providers deal with this complexity, but does it need to be so? DEF delivery modelling for SCR systems Researchers characterize a 0-D model of a urea delivery module, oriented to model-based control and to the simulation of the system response to fault injections finalized to diagnosis validation.
Article

GE Aviation chooses Microsoft Azure to help drive digital transformation in aviation

2018-07-17
GE Aviation Digital Solutions is scaling its analytics and operations solutions Microsoft Azure cloud computing to help accelerate digital transformation in aviation and enhance data protection, regulatory compliance, and efficiency. Emirates Airlines is expanding its relationship with GE Aviation to include predictive maintenance and diagnostics.
Event

Program - Government/Industry Meeting

2022-01-28
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
Event

Program - Government/Industry Meeting

2022-01-28
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
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