Browse Topic: Cloud computing
Today's battery management systems include cloud-based predictive analytics technologies. When the first data is sent to the cloud, battery digital twin models begin to run. This allows for the prediction of critical parameters such as state of charge (SOC), state of health (SOH), remaining useful life (RUL), and the possibility of thermal runaway events. The battery and the automobile are dynamic systems that must be monitored in real time. However, relying only on cloud-based computations adds significant latency to time-sensitive procedures such as thermal runaway monitoring. Because automobiles operate in various areas throughout the intended path of travel, internet connectivity varies, resulting in a delay in data delivery to the cloud. As a result, the inherent lag in data transfer between the cloud and cars challenges the present deployment of cloud-based real-time monitoring solutions. This study proposes applying a thermal runaway model on edge devices as a strategy to reduce
ABSTRACT Today’s weapon systems are becoming increasingly complex and usually involve other assets to accomplish their missions. Interdependencies among the weapon system components such as its sensor, sensor subsystems, communications, navigation, etc., are crucial to the System Engineering (SE) design and test process. Inserting the individual weapon system into a larger context of a System-of-Systems (SoS) and Family of Systems (FoS) increases the Test and Evaluation (T&E) complexity exponentially. The ability to readily orchestrate myriad of test conditions and scenario alterations in a SoS/FoS context must be devised to enable the evaluation of alternative designs in order to adapt to future missions, threats, and technologies. This paper will address the coupling of Modeling and Simulation (M&S) and systems engineering to support cost-effective decisions on concept development, technology evaluation, material, doctrine, tactics, combat techniques and force structure. Current
Mode identification, particularly Modal Map Generation, is pivotal within the NVH (Noise, Vibration, and Harshness) domain for managing the performance of complex systems like TBIW/Powertrain. This study addresses the critical task of accurately identifying Global / Local behavior of a particular system as single entity (Complete TBIW, Power train) or all the systems attached to main structure (Sub Systems i.e Seat , Fuel Tank , Pump etc), which is crucial for effective NVH post-processing. Introducing a novel tool/methodology developed by the Applus IDIADA team, this paper presents an efficient approach to Global & Local mode identification across subsystems, TBIW, and Powertrain levels. Leveraging ".op2" file content, mainly Strain Energy Density[1] and Displacement [2], the tool integrates Machine Learning Techniques [3] to produce mode predictions along with detailed visual outputs such as graphs , pie chart , modal charts etc. Implemented as a Python-based solution compatible with
Usage of cloud technology is essential for aftersales tester providers. It eases the rollout of new tester content - for example, diagnostic data of new vehicle types, updated repair manuals or ECU software for flash programming. Cloud technology also implements security services such as user authentication information. Figure 1 shows a typical setup as it is implemented for the service of vehicles such as trucks and buses. The vehicle is parked (vehicle speed = zero) in the service workshop, and its E/E system is connected to the vehicle communication interface (VCI) via CAN or Ethernet. On the tester (TST) side, the TST-to-VCI connection is either USB or WiFi
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
The emergence of connected vehicles is driven by increasing customer and regulatory demands. To meet these, more complex software applications, some of which require service-based cloud and edge backends, are developed. Due to the short lifespan of software, it becomes necessary to keep these cloud environments and their applications up to date with security updates and new features. However, as new behavior is introduced to the system, the high complexity and interdependencies between components can lead to unforeseen side effects in other system parts. As such, it becomes more challenging to recognize whether deviations to the intended system behavior are occurring, ultimately resulting in higher monitoring efforts and slower responses to errors. To overcome this problem, a simulation of the cloud environment running in parallel to the system is proposed. This approach enables the live comparison between simulated and real cloud behavior. Therefore, a concept is developed mirroring
A pilot project between ABB Robotics and US non-profit organization Junglekeepers demonstrated the role cloud technology can play in making reforestation faster, more efficient, and scalable. The project was implemented from May-June 2023 using ABB’s cobot operated remotely with cloud technology
Automated driving, electrification, cloud computing and the push toward software-defined vehicles are forcing automotive and commercial-vehicle developers to revamp design strategies. Tools suppliers are moving to help engineers develop and verify solutions that address the complete vehicle environment, a task that requires a growing number of design tools. During the recent dSPACE World Conference in Munich, Germany, several vehicle manufacturers described their strategies for coping with these trends. dSPACE, which supplies hardware/software-in-the-loop (HIL/SIL) tools, announced plans to see if tool makers can find a way to help developers by making it easier to integrate data created using different development software
In the ever-evolving landscape of clinical trials, the advancement of edge computing technology in wearable devices is revolutionizing the way research is conducted. Today, the exponential growth of data poses significant challenges for traditional cloud computing models, which struggle to keep up with demand. That’s where edge computing comes in. With its ability to process data closer to its source, edge computing offers a solution to the limitations of conventional cloud infrastructure. By leveraging edge computing, researchers have an opportunity to enhance remote patient monitoring and reshape the traditional clinical trial paradigm
Companies in many industries, including technology, construction, and healthcare are completely revamping the way in which their manufacturing arms are designing, building, producing, and servicing the goods they need for projects and customers
The fast growth of electric vehicles has resulted in the widespread application of lithium-ion batteries. Recognized as a critical problem, the accurate estimation of the battery state has drawn much attention. Meanwhile, the continuous progress of the Internet of vehicles technology promotes the algorithm on cloud platform. However, the state of charge and state of health estimation based on on-board battery management system present deficiency such as data loss, noise interference and inconsistent sampling interval through the transmission. Thus, this article developed a multi-scale co-estimation method on the SOC and SOH with consideration of the dataset quality. Firstly, a Thevenin model for SOC estimation is constructed and parameters are identified by least square method. It is noteworthy that the frequency of SOC and SOH updates different time scales. To achieve the co-estimation on the both state and health, the extended Kalman filter algorithm is used twice. The dual extended
Cloud computing technologies are embodied with automotive sector copiously. It aids in using data and computing services to manage information, communication, and computing, through Internet-based apps and online digital services. A cloud computing-based framework is suitable for developing and deploying simulation models to study, analyse and optimise the vehicle performance. The framework proves functional in collecting vehicle data, processing and then using them for datadriven or model-based development to deliver a complete software solution. Server-less cloud computing technologies with storage and function triggers form the architecture. The paper outlines a data-driven model of a Three-Way Catalyst (TWC) to test the cloud framework as an end-to-end solution. The model estimates a metric to quantify the oxygen storage capacity of the TWC over the air. This metric is an online adaptive gain, estimated through system diagnosis using the Recursive Least Squares method. This is
Two-wheelers especially scooters constitute a majority market share in Asian countries. A hybrid drive-train integration of electric motor/motors with a conventional IC engine is a suitable solution to achieve reduction in CO2 emissions and as an alternative to IC Engine only vehicles. A model based supervisory controller is proposed, considering the behavior of the electrical drive, IC engine as well as the transmission, which determines the modes of operation. The controller determines the commanded torque split between the engine and electric motor across all modes of operations. With the information about the driving cycle, an optimal controller based on dynamic programming that minimizes fuel and equivalent electrical energy consumption with charge sustaining feature is proposed. This supervisory controller was simulated for hybrid configuration running on WMTC driving cycle to minimize equivalent energy consumption. The performance of the proposed controller with hybrid
Aircraft Manufacturing procedures are very critical which always require skillful engineers who must adhere to various process and procedure during daily work. The challenge is not only to identify right tools and manuals but also to keep track of operator usage data and behavior. With Augmented reality (AR), intelligent tools and analytics, we can provide a new lease of life to first-line assembly engineers. The objective is how AR can help us to reduce rework or scrap with the concept of Industry 4.0 [1] were integrating with cutting edge technologies like machine learning and the internet of things (IoT) to meet the fundamental requirements during manufacturing. Smart Manufacturing consists of four major components Cyber-physical systems, IoT, cloud computing and cognitive computing. Our objective is to integrate Augmented reality with IoT sensor to achieve Cyber-physical systems connectivity and fill the gap between the smallest physical assets connected with digital infrastructure
The purpose of the OBIGGS is to reduce the amount of oxygen in the fuel tank to a 'safe' level to significantly reduce the possibility of ignition of fuel vapors. There are circumstances where equipment of OBIGGS like ASMs, Ozone Converter Catalysts, etc. gets degraded earlier than the provided MTBF. This paper studies the present conventional systems limitations, like due to memory constraints only the faults and limited shop data are being recorded, hence there is no provision to store/report the stream of data margins with which we can pass/fail the performance tests. This paper also explains how a new design of the Connected concept achieves access to real-time data from the system and how the data is pushed to the cloud network. A connected solution for the OBIGGS is the technology to access real-time data (Systems LRUs Performance data and Custom data Parameters) from the Systems controller data bus, this data is further applied to AI/ML methods for predictive/prognostics
Whenever you buy something online, your customer data is automatically updated and stored on thousands of virtual machines in the cloud. But up to now, there has been no way to guarantee that a software system is secure from bugs, hackers, and vulnerabilities. Now, researchers have developed SeKVM, the first system that guarantees — through a mathematical proof — the security of virtual machines in the cloud
There’s no doubt that Industrial Ethernet (IE) is paving the way for the automated factory of the future. IE is the backbone of modern industrial communications between devices on the plant floor, the enterprise information network, and the cloud services that companies increasingly rely upon to build and grow their business. At the macro level, IE is as essential to automation control as the internet is to e-commerce
Small Form Factor, Modular Data Centers at the Edge of the Battlefield In order to achieve and maintain warfighting overmatch, coordinate deployed forces and enable new capabilities, the US Army, Air Force, and Navy are actively looking to new programs such as Joint All Domain Command and Control (JADC2) to ensure warfighters have maximum situational awareness. These programs will deliver a variety of compute and bandwidth intensive technologies, increasing the use of big data analytics, artificial intelligence/machine learning, and video for example, using common technical standards, APIs and data formats to deliver the command and control information that warfighters need to coordinate their activities. The software needed to run these new capabilities is increasingly being developed to rely on the cloud, which itself might reside in a variety of data centers, ranging from large commercial services, such as Amazon Web Services (AWS) GovCloud and Microsoft Azure Government, to the
Unmanned aerial vehicles (UAVs) are envisioned to operate much closer to each other in low-altitude airspace than in the conventional high-altitude air traffic system and therefore impose challenges not only to the vehicle design but also to the development of a safe yet efficient low-altitude air traffic system. NASA Ames developed an air traffic simulation tool known as Flexible engine for Fast time evaluation of Flight environments (Fe3
In order to achieve and maintain warfighting overmatch, coordinate deployed forces, and enable new capabilities, the US Army, Air Force, and Navy are actively looking to new programs such as Joint All Domain Command and Control (JADC2) to ensure warfighters have maximum situational awareness. These programs will deliver a variety of compute and bandwidth intensive technologies, increasing the use of big data analytics, artificial intelligence/machine learning, and video for example, using common technical standards, APIs and data formats to deliver the command and control information that warfighters need to coordinate their activities
Cloud computing is becoming more prevalent as software vendors are increasingly offering their products as services over the Internet rather than requiring users to download applications to their desktops. There are, however, downsides that accompany the advantages. Tech Briefs posed questions to executives at leading software vendors to get their views on what a user should consider before moving to the cloud
As we learned during the COVID-19 pandemic, aerospace and defense companies must continue to move forward and find workarounds to design, develop and test their products or systems. Engineers hit the challenge of how to build and test integrated hardware and software systems under pandemic-induced travel limitations
With the rapid development of emerging technologies, such as cloud computing, big data, Internet of Things, artificial intelligence, fifth-generation mobile network (5G) technology, the construction of intelligent expressway systems has become a trend. Through the analysis of the intelligent expressway business and function, the overall architecture, technical architecture, and data architecture of this system are designed and presented in this paper. The design of the overall architecture describes the basis of intelligent expressway design and implementation. The technical architecture is the foundation of the overall architecture, making it with more complete functions, high security, and high feasibility. The data architecture helps to achieve effective data coordination through data standard management, resource monitoring, catalog management, metadata management, quality management, and security management. Accelerating the deep integration of modern technologies and expressway
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