Argus, a global leader in automotive cybersecurity, has upgraded its stand-alone Fleet Protection backend platform and is now providing continuous live monitoring of both automotive and commercial aircraft fleets.
Quotes from COMVEC 2018 Industry leaders spoke extensively about all things autonomous-ADAS, big data, connectivity, cybersecurity, machine learning-at the annual SAE event. Here's some of what they had to say. Fuel-cell Class 8-take 2.0 With a longer-range and more-refined fuel cell-powered heavy-duty truck, Toyota aims to eventually eliminate emissions from trucks serving increasingly congested California ports. ...Editorial Bring innovation, disruption in-house Adding 3D printing to design, manufacturing processes Upstream devoted to truck cybersecurity threats Jacobs employs cylinder deactivation in HD engines to lower CO2, NOx Emissions reductions continue to disrupt CV industry Mercedes doubles down on electric vans and buses, considers fuel cells Off-road bus from Torsus transports to hard-to-reach places Q&A Perkins pursues plug-and-play connectivity
This document will provide recommendations to vehicle manufacturers and component suppliers in securing the SAE J1939-13 connector interface from the cybersecurity risks posed by the existence of this connector.
Electrification not a one-size-fits-all solution Efforts in the off-highway industry have been under way for decades, but the technology still faces implementation challenges. SuperTruck redux A year plus into phase two of the promising DOE program to dramatically improve freight efficiency, project leads from three of the participating truck OEMs share their progress thus far and technology paths moving forward. From research to reality Danfoss works closely with off-highway OEMs throughout the development process, testing and demonstrating machines packed with new technology features. Big Data a focus for 2018 SAE President Mircea Gradu Velodyne CQO sees use of Big Data as a way to capitalize on multiple industry trends including vehicle electrification and automated vehicles.
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?
Cyber assurance of heavy trucks is a major concern with new designs as well as with supporting legacy systems. Many cyber security experts and analysts are used to working with traditional information technology (IT) networks and are familiar with a set of technologies that may not be directly useful in the commercial vehicle sector. To help connect security researchers to heavy trucks, a remotely accessible testbed has been prototyped for experimentation with security methodologies and techniques to evaluate and improve on existing technologies, as well as developing domain-specific technologies. The testbed relies on embedded Linux-based node controllers that can simulate the sensor inputs to various heavy vehicle electronic control units (ECUs). The node controller also monitors and affects the flow of network information between the ECUs and the vehicle communications backbone.
Autonomous plows ahead Agriculture, construction, mining-even marine-are advancing autonomous technology to improve the productivity and safety of vehicles on the job. Expediting engine design Simulation tools drive development of the most complex, fuel- efficient and powerful engines ever seen in off-highway applications. Industry 4.0: The smart factory arrives The plants that produce vehicles and their high-tech systems are increasingly employing intelligent systems, Big Data and advanced analytics to improve quality, safety and efficiency. The future is not so far-off Enhanced Cat 3500 engine boosts power 20%, trims fuel usage by 10% Phase 2 GHG rules driver for advanced technology, alternative fuels Eaton demonstrates waste heat recovery, variable valve actuation for HD diesels Hyliion develops add-on hybrid system for semi-trailers that reduces fuel consumption by 30% Tech-heavy Iveco Z Truck concept spawns 29 patents EPA's Grundler talks Phase 2 regs
HMIs extend beyond the cab Telematics functions are being integrated into multi-function user interfaces. Standards step forward in design of off-highway electronics Functional safety standards are starting to impact many development projects, while the auto industry's AUTOSAR standard is being deployed to help enable software reuse and simplify designs. Leveraging automotive lightweighting techniques to improve off-highway emissions Where systems engineers can gain efficiencies in off-highway equipment is agnostic, they'll take it anywhere, and so they should, but one of the ways, often underestimated, is through the use of strong and lightweight advanced materials. Waste heat recovery for the long haul A WHR system based on an organic Rankine cycle has been developed for a long-haul Iveco Stralis truck.
Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a guide for the reader on how to acquire and correctly interpret data from the in-vehicle network of light-duty (LD) vehicles. The reader will learn how to determine what data is available on the vehicle's network, acquire messages and convert them to scaled engineering parameters, apply more than 25 applicable standards, and understand 15 important test modes.