Browse Topic: Regulations
Physical testing is required to assess multiple vehicles in different conditions, specially to validate those related to regulations. The acoustic evaluations have difficulties and limitations in physical test; cost and time represent important considerations every time. Additionally, the physical validation happens once a prototype has been built, this takes place in a later phase of the development. Sound pressure is measured to validate different requirements in a vehicle, horn sound is one of these and it is related to a regulation of united nations (ECE28). Currently the validation happens in physical test only and the results vary depending on the location of the horn inside the front end of every vehicle. [7] In this article, the work for approaching a virtual validation method through CAE is presented with the intention to get efficiency earlier in product development process.
This SAE Recommended Practice establishes recommended procedures for the issuance, assignment, and structure of Identification Numbers on a uniform basis by states or provinces for use in an Assigned Identification Number (AIN).
The inductance parameter is important for the flux regulation performance of the hybrid excitation motor, and the axial structure leads to the change in the inductance parameter of the axial-radial hybrid excitation motor (ARHEM). To clarify the inductance characteristic of the ARHEM with different winding construction and the mutual coupling effect between the axial excitation and permanent magnet excitation on the inductance. Firstly, the structure of the ARHEM is presented. Secondly, the self and mutual inductance characteristics of ARHEM are analyzed using the winding function method. Then, the influence of the axial excitation structure on the armature reaction field and saliency ratio of ARHEM. On this basis, the mechanism of the mutual coupling, between the axial excitation and permanent magnet field under different excitation currents on the main air gap magnetic field, and the inductance of ARHEM with fractional slot are revealed.
In India, Driver Drowsiness and Attention Warning (DDAW) system-based technologies are rising due to anticipation on mandatory regulation for DDAW. However, readiness of the system to introduce to Indian market requires validations to meet standard (Automotive Industry Standard 184) for the system are complex and sometimes subjective in nature. Furthermore, the evaluation procedure to map the system accuracy with the Karolinska sleepiness scale (KSS) requirement involves manual interpretation which can lead to false reading. In certain scenarios, KSS validation may entail to fatal risks also. Currently, there is no effective mechanism so far available to compare the performance of different DDAW systems which are coming up in Indian market. This lack of comparative investigation channel can be a concerning factor for the automotive manufactures as well as for the end-customers. In this paper, a robust validation setup using motion drive simulator with 3 degree of freedom (DOF) is
You've got regulations, cost and personal preferences all getting in the way of the next generation of automated vehicles. Oh, and those pesky legal issues about who's at fault should something happen. Under all these big issues lie the many small sensors that today's AVs and ADAS packages require. This big/small world is one topic we're investigating in this issue. I won't pretend I know exactly which combination of cameras and radar and lidar sensors works best for a given AV, or whether thermal cameras and new point cloud technologies should be part of the mix. But the world is clearly ready to spend a lot of money figuring these problems out.
Heavy-duty vehicle regulations from the European Union specify a 43% carbon emissions reduction by 2030. The EU's carbon emissions reduction mandate climbs to 64% by 2035 before soaring to 90% by 2040. “The hydrogen combustion engine has a role to play to reduce CO2 emissions,” said Vincent Giuffrida, CFD engineer for IFP Energies novellas (IFPEN), a Rueil-Malmaison, France-headquartered public research and innovation organization. Giuffrida and IFPEN colleague and research engineer Olivier Colin were the presenters for a webinar addressing the “Development of a Dedicated Hydrogen Combustion System for Heavy-Duty Applications” in July. The webinar was hosted by Madison, Wisconsin-headquartered Convergent Science, whose CONVERGE CFD software simulates three-dimensional fluid flows. Features of the CFD software include autonomous meshing, complex moving geometries, a detailed chemical kinetics solver, advanced physical models, conjugate heat transfer model, fluid structure interaction
In the increasingly connected and digital world, businesses are sprinting to integrate technological advancements into their corporate fabric. This is evident with the emerging concept of “digital twinning.” Digital twins are virtual representations of real-world objects or systems used to digitally model performance, identify inefficiencies, and design solutions. This helps improve the “real world” product, reduces costs, and increases efficiency. However, this replication of a physical entity in the digital space is not without its challenges. One of the challenges that will become increasingly prevalent is the processing, storing, and transmitting of Controlled Unclassified Information (CUI). If CUI is not protected properly, an idea to save time, money, and effort could result in the loss of critical data. The Department of Defense's (DoD) CUI Program website defines CUI as “government-created or owned unclassified information that allows for, or requires, safeguarding and
Artificial intelligence (AI)-based solutions are slowly making their way into mobile devices and other parts of our lives on a daily basis. By integrating AI into vehicles, many manufacturers are looking forward to developing autonomous cars. However, as of today, no existing autonomous vehicles (AVs) that are consumer ready have reached SAE Level 5 automation. To develop a consumer-ready AV, numerous problems need to be addressed. In this chapter we present a few of these unaddressed issues related to human-machine interaction design. They include interface implementation, speech interaction, emotion regulation, emotion detection, and driver trust. For each of these aspects, we present the subject in detail—including the area’s current state of research and development, its current challenges, and proposed solutions worth exploring.
The pursuit of maintaining a zero-sideslip angle has long driven the development of four-wheel-steering (4WS) technology, enhancing vehicle directional performance, as supported by extensive studies. However, strict adherence to this principle often leads to excessive understeer characteristics before tire saturation limits are reached, resulting in counter-intuitive and uncomfortable steering maneuvers during turns with variable speeds. This research delves into the phenomenon encountered when a 4WS-equipped vehicle enters a curved path while simultaneously decelerating, necessitating a reduction in steering input to adapt to the increasing road curvature. To address this challenge, this paper presents a novel method for dynamically regulating the steady-state yaw rate of 4WS vehicles. This regulation aims to decrease the vehicle's sideslip angle and provide controlled understeer within predetermined limits. As a result, the vehicle can maintain a zero-sideslip angle during turns with
Medical devices are becoming smaller and smaller, and the need for advanced material solutions keeps growing. There’s also a critical call for manufacturers to adhere to stringent regulations while improving device functionality. Through our deep understanding and application of fundamental chemistry, Chemours materials have emerged as effective alternatives — helping innovators in the medical industry achieve continued success across medical device design.
Advanced Autonomous Vehicles (AV) for SAE Level 3 and Level 4 functions will lead to a new understanding of the operation phase in the overall product lifecycle. Regulations such as the EU Implementing Act and the German L4 Act (AFGBV) request a continuous field surveillance, the handling of critical E/E faults and software updates during operation. This is required to enhance the Operational Design Domain (ODD) during operation, offering Functions on Demand (FoD), by increasing software features within these autonomous vehicle systems over the entire digital product lifecycle, and to avoid and reduce downtime by a malfunction of the Autonomous Driving (AD) software stack. Supported by implemented effective management systems for Cyber Security (R155), Software Update Management System (R156) and a Safety Management System (SMS) (in compliance to Automated Lane Keeping System (ALKS) (R157)), the organizations have to ensure safe and secure development, deployment and operation to
In late 2022, the EU Medical Device Regulation (MDR) was expanded by the addition of the common specifications (CS) 2022/20346. The spe00cifications describe the aspects that must be examined for devices without an intended medical purpose. These aspects apply in addition to the classical MDR requirements and include certain aspects of risk management. In other words, even products that only serve aesthetic purposes, such as colored contact lenses, will be assessed in accordance with the strict MDR regulations and, in addition, will have to fulfill the requirements laid down in the CS 2022/2346.
Next-generation vehicle electrical architectures will be based on highly sophisticated domain controllers called HPCs (high-performance computers). These HPCs are more alike gaming PCs than as the traditional ECUs (electronic control units). Today’s diagnostic communication protocol, e.g., UDS (Unified Diagnostic Services, ISO 14229-1) was developed for ECUs and is not fit to be used for HPCs. There is a new protocol being developed within ASAM, SOVD (service-oriented vehicle diagnostics), which is based on a RESTful API (REpresentational State Transfer Application Programming Interface) sent over http (hypertext transfer protocol). But OBD (OnBoard Diagnostic) under the emissions regulation is not yet updated for this shift of protocols and therefore vehicle manufacturers must support older OBD protocols (e.g., SAE J1979-2) during the transition phase. Another problem is that some of the software packages may fall under the DEC-ECU (diagnostic or emission critical electronic control
Electric aviation mirrors the early stages of the electric vehicle revolution After decades of tantalizing breakthroughs in battery technology, the last decade witnessed the emergence of energy storage as a challenger to fossil fuels for powering vehicles. We are now in the midst of a once-in-a-lifetime opportunity to change the energy landscape and electrify all forms of transportation: light duty passenger cars, heavy duty commercial vehicles, as well as various forms of transportation such as trains, ships, and aircraft. Such a dramatic transition will require a multifaceted approach that takes into consideration technology needs, infrastructure support, workforce transitions, safety and regulations, and energy justice. The U.S. Department of Energy's (DOE) Argonne National Laboratory, with numerous public and private sector collaborators, has been strategizing about this transition to ensure the lessons from the past are applied to the future.
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
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