Browse Topic: Technical review
Autonomous driving technology is more and more important nowadays, it has been changing the living style of our society. As for autonomous driving planning and control, vehicle dynamics has strong nonlinearity and uncertainty, so vehicle dynamics and control is one of the most challenging parts. At present, many kinds of specific vehicle dynamics models have been proposed, this review attempts to give an overview of the state of the art of vehicle dynamics models for autonomous driving. Firstly, this review starts from the simple geometric model, vehicle kinematics model, dynamic bicycle model, double-track vehicle model and multi degree of freedom (DOF) dynamics model, and discusses the specific use of these classical models for autonomous driving state estimation, trajectory prediction, motion planning, motion control and so on. Secondly, data driven or AI based vehicle models have been reviewed, and their specific applications in automatic driving and their modeling and training
Symbolic code execution is a powerful cybersecurity testing approach that facilitates the systematic exploration of all paths within a program to uncover previously unknown cybersecurity vulnerabilities. This is achieved through a Satisfiability Modulo Theory (SMT) solver, which operates on symbolic values for program inputs instead of using their concrete counterparts. However, in complex code bases, this approach faces significant limitations, such as program path explosions or unavailable dependencies, which can result in conditions that the SMT solver cannot reason about. Consequently, SMT solvers are often considered as too costly to implement for automotive testing use cases and are rarely employed within this domain. In contrast, fuzz testing has recently gained traction in the automotive industry as an invaluable testing technique for identifying previously unknown vulnerabilities. Its initial setup is straightforward and typically yields useful findings. However, achieving
To ensure adequate visibility without excessive glare, vehicle headlights are designed to use a specific source of illumination. The optical designs of headlights gather the luminous flux produced by the light source to produce a useful beam pattern that meets the relevant requirements and standards for vehicle forward lighting. With the advent of solid state, light emitting diode sources for general illumination, an increasing number of LED replacement headlight bulb products has emerged over the past decade. In most cases, these LED replacement bulbs are not permitted for legal use on public roadways, but some countries have begun to permit specific LED replacement bulbs to be used legally on the road for specific makes, models and production years of certain vehicles. If they can be demonstrated to produce a beam pattern that meets the photometric requirements for a legal headlight, they are permitted to be used legally for on-road use. In the present paper we present photometric
The world is on a “take-make-waste,” linear-growth economic trajectory where products are bought, used, and then discarded in direct progression with little to no consideration for recycling or reuse. This unsustainable path now requires an urgent call to action for all sectors in the global society: circularity is a must to restore the health of the planet and people. However, carbon-rich textile waste could potentially become a next-generation feedstock, and the mobility sector has the capacity to mobilize ecologically minded designs, supply chains, financing mechanisms, consumer education, cross-sector activation, and more to capitalize on this “new source of carbon.” Activating textile circularity will be one of the biggest business opportunities to drive top- and bottom-line growth for the mobility industry. Textile Circularity and the Sustainability Model of New Mobility provides context and insights on why textiles—a term that not only includes plant-based and animal-based
In numerous industries such as aerospace and energy, components must perform under significant extreme environments. This imposes stringent requirements on the accuracy with which these components are manufactured and assembled. One such example is the positional tolerance of drilled holes for close clearance applications, as seen in the “EN3201:2008 Aerospace Series – Holes for metric fasteners” standard. In such applications, the drilled holes must be accurate to within ±0.1 mm. Traditionally, this required the use of Computerised Numerical Control (CNC) systems to achieve such tight tolerances. However, with the increasing popularity of robotic arms in machining applications, as well as their relatively lower cost compared to CNC systems, it becomes necessary to assess the ability of robotic arms to achieve such tolerances. This review paper discusses the sources of errors in robotic arm drilling and reviews the current techniques for improving its accuracy. The main sources of
The transport sector in all domains like personal vehicles, public transport and logistics has seen a tremendous growth over the past decade, more so in the last 5 years. The main reasons for this rapid growth is the development of new energy storage systems in battery technology (Lithiumion, sodium ion, aluminum air etc.), hydrogen fuel cells, super capacitors etc. On the other hand there has been tremendous development in the motor drive technology with the availability of brushless dc motors (BLDC Motors), induction motors, Permanent magnet synchronous motors (PMSM, IPMSM). Each motor having its own special characteristics and usage suited for a very specific application in terms of torque and load bearing capacities. In this paper we describe a unique platform with twin motor drive system electric vehicle which is powered by an artificial intelligence (AI) enabled electronic module DuoPackR. The basic platform is described with the help of a bicycle which has two BLDC motors on the
SAE International announced in late June 2023 that it intended to standardize the Tesla-developed North American Charging Standard (NACS) EV charging connector for North America. SAE then created the J3400 NACS Task Force to expedite creation of the J3400 NACS Electric Vehicle Coupler standard
SAE's Automotive Engineering magazine is not immune to the constant beat of changes happening across the automotive industry. In case you're curious what that means, the byline and picture accompanying this editorial should provide the clues you need: it's time for a new editor-in-chief. We'll start with a short introduction. I've been a reporter for 30 years, and my history covering the automotive industry, especially EVs, effectively started with my first bit of on-location event coverage in 2006. I had recently started as the editor of AutoblogGreen, and a new EV startup named Tesla was about to unveil its first product
In 2014, Airbus made history when it introduced a small metal bracket through additive manufacturing (AM) to secure an engine on one of its commercial jetliners. This milestone marked the beginning of an era of innovation in aerospace, pushing the boundaries of technology. The journey from that first AM experiment to today's transformative landscape in the aerospace and defense industries has been nothing short of remarkable. The capabilities of AM have redefined the sector, offering unprecedented efficiencies and reshaping how we understand and approach manufacturing. Aerospace and defense has emerged as a trailblazer in the adoption of AM. While aerospace and defense AM demand was negatively impacted during the COVID-19 pandemic, the global aerospace and defense additive manufacturing market is projected to grow from $3.73 billion in 2021 to $13.01 billion in 2028
Traditional physical infrastructure increasingly relies upon software. Yet, 75% of software projects fail in budget by 46% and schedule by 82%. While other systems generally have a “responsible-in-charge” (RIC) professional, the implementation of a similar system of accountability in software is not settled. This is a major concern, as the consequences of software failure can be a matter of life-or-death. Further, there has been a 742% average annual increase in software supply chain attacks on increasingly used open-source software over the past three years, which can cost up to millions of dollars per incident. Developing the Role of the System Software Integrator to Mitigate Digital Infrastructure Vulnerabilities discusses the verification, validation, and uncertainty quantification needed to vet systems before implementation and the continued maintenance measures required over the lifespan of software-integrated assets. It also proposes a certified System Software Integrator role
The introduction of endoscopy in surgical practice is one of the greatest success stories in the history of medicine, and there is no end in sight in terms of the development of minimally invasive surgical procedures and instruments. Advances in material sciences, imaging, sensors, and robotics are driving a need for new innovative approaches to manufacturing the next generation of surgical instruments
After-treatment sensors are used in the ECU feedback control to calibrate the engine operating parameters. Due to their contact with exhaust gases, especially NOx sensors are prone to soot deposition with a consequent decay of their performance. Several phenomena occur at the same time leading to sensor contamination: thermophoresis, unburnt hydrocarbons condensation and eddy diffusion of submicron particles. Conversely, soot combustion and shear forces may act in reducing soot deposition. This study proposes a predictive 3D-CFD model for the analysis of the development of soot deposition layer on the sensor surfaces. Alongside with the implementation of deposit and removal mechanisms, the effects on both thermal properties and shape of the surfaces are taken in account. The latter leads to obtain a more accurate and complete modelling of the phenomenon influencing the sensor overall performance. The evolution of the fouling thickness is evaluated by means of the implementation of a
Ultrafine particles, in particular solid sub-100 nm particles pose high risks to human health due to their high lung deposition efficiency, translocation to all organs including the brain and their harmful chemical composition; due to dense traffic, the population in urban environments is exposed to high concentrations of those toxic air contaminants, despite these facts, they are still widely neglected. Therefore, the EU-Commission set up a program for clean and competitive solutions for different problem areas which are regarded to be hotspots of such particles. HORIZON AeroSolfd is an EU project, co-funded by Switzerland that will deliver affordable, adaptable, and sustainable retrofit solutions to reduce exhaust tailpipe emissions from petrol engines, brake emissions and pollution in semi-closed environments. VERT, a Swiss based international industry organization, has a long research history in the field of nanoparticle filtration and it is in charge of reducing tailpipe emissions
Direct drive motors have a long-standing history as a technology that has continually evolved and improved over several decades. Despite the perception that it has reached its limits, innovators such as ETEL continuously evolve and improve the performance and efficiency of their direct drive products
Over the past few years, you’ve likely seen collaborative robots (cobots) doing everything from stacking pallets in a warehouse to making fries at a fast-food chain. Today’s co-bots are strong enough to handle pay-loads as heavy as 55 lbs with precision and safe enough to operate side by side with human workers. While cobots continually learn to perform more complex tasks, such as configuring applications, the human machine interface (HMI) has become much simpler. Setup can be done in a short of time, and PC-like tablets with touchscreens and intuitive programming make the system easy for employees to learn
Toyota's luxury arm concurrently introduced the all-new, three-row 2024 Lexus TX and the long-awaited redesign of the rugged Lexus GX, also a '24 model. Both were met with enthusiasm at a reveal in Austin, Texas, over what Lexus is calling the new “unified spindle,” an evolution of the spindle grille that has been divisive since it appeared on the 2012 GS sedan. In a nifty trick, engineers have figured out how to include ADAS sensors in the grille without having asymmetrical blocks interrupt the bars. Dealers and more mainstream customers will be most interested in the TX, as Lexus Group Vice President Dejuan Ross said buyers have been clamoring for a new three-row SUV. And there's good reason: 70% of all full-size SUVs sold in America have a third row. For midsize SUVs, the number jumped from 6% to 10% from 2016 to 2022, according to J.D. Power
Micromobility is often discussed in the context of minimizing traffic congestion and transportation pollution by encouraging people to travel shorter (i.e., typically urban) distances using bicycle or scooters instead of single-occupancy vehicles. It is also frequently championed as a solution to the “first-mile/last-mile” problem. If the demographics and intended users of micromobility vary largely by community, surely that means we must identify different reasons for using micromobility. Micromobility, User Input, and Standardization considers potential options for standardization in engineering and public policy, how real people are using micromobility, and the relevant barriers that come with that usage. It examines the history of existing technologies, compares various traffic laws, and highlights barriers to micromobility standardization—particularly in low-income communities of color. Lastly, it considers how engineers and legislators can use this information to effectively
The paper describes a tools’ suite able of analyzing numerically 3D ice-accretion problems of aeronautical interest. The methodology consists of linking different modules each of them performing a specific function inside the ice-simulation chain. It has been specifically designed from the beginning with multi-step capability in mind. Such a feature plays a key role when studying the dynamic evolution of the icing process. Indeed, the latter has the character of a multi-physic and time-dependent phenomenon which foresees a strong interaction of the air- and water fields with the wall thermodynamics. Our multi-layer approach assumes that the physical problem can be discretized by a series of pseudo-steady conditions. The simulation process starts with the automatic generation of a Cartesian three-dimensional mesh which represents the input for the immersed boundary (IB) RANS solver. Once obtained, the air-phase is used by the Eulerian tool to solve the transport of the water-phase on
This paper provides an overview of the state-of-art multiscale “Icing Simulation Framework” capability developed at Raytheon Technologies Research Center. Specifically, the application of this framework to simulate droplet runback and runback icing will be presented. In summary, this high-fidelity framework tracks the physical mechanisms associated with droplet dynamics, ice nucleation, growth and interaction with the environment (e.g. adhesion, crystal growth, evaporation, sublimation, etc.) across all relevant scales (including nucleation at <10-7m to ~10-6m of coating/environment interaction to 10-2m of the component) which allows a rigorous investigation of how different environmental (e.g. LWC, MVD, pressure, velocity and temperature) and substrate (e.g. coating molecular and macroscopic specifications) characteristics affect the icing behavior
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