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Electrical Industrial Apparatus


Artificial intelligence helps build better lithium batteries

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How can artificial intelligence bring us closer to a more efficient, more easily recycled and better batteries? Recharge Industries has just announced it will build a $300 million lithium ion battery "gigafactory" in Geelong, Victoria, targeting 2 GWh of production a year in 2024 and 6 GWh by 2026. Lithium ion batteries are in growing demand worldwide with the expected skyrocketing introduction of electric vehicles. But beyond this news, Recharge Industries will also partner with Deakin University's Applied Artificial Intelligence Institute (A2I2) in Geelong to use artificial intelligence to build a better battery. The idea of using AI to improve batteries is not new, but A2I2 has created an operating system specifically designed for the lithium ion battery project, to speed up the design process.


New Electronics - AI-powered cloud-connected EV battery management system

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NXP is using Electra Vehicles' EVE-Ai 360 Adaptive Controls technology to use digital twin models in the cloud to predict and control the physical BMS in real time, to improve battery performance, battery state of health of up to 12% and enable multiple new applications, such as EV fleet management. Batteries remain the costliest element in an electric vehicle (EV), and AI-powered digital twin cloud services have the potential to improve estimations of the battery's state of health (SOH) and state of charge (SOC) to deliver improved efficiency, lifetime and cost. Battery digital twins adapt to ongoing changes in battery health due to operating conditions and provide updated figures back to the BMS for continuously improving control decisions. Carmakers can use the technology to provide driver insights, such as range and speed recommendations. In addition, adaptive battery control can improve the battery's performance and safely extend its lifespan, reducing warranty costs for the carmaker.


DETAILS OF ROBOTS AND THEIR AUTOMATION ENGINEERING

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Robots have been defined as machines that can carry out certain activities or actions without direct contact with them. However, this definition has been referred to as an old definition of robots because the definition actually made drones and other remotely controlled devices be referred to as robots. Many books consulted before writing this post, defined the robots as programmable machines that can carry out complex actions without any external control. This last definition can be attributed to the modern robots as compared to the earlier definition which included drones and early robots. Details obtained from the history of robots show that robots were initially referred to as any mechanized device that can make moves or perform a certain action when activated from a distance with rope or any linking mechanism and such is the belief of early centuries of human history.


The top 100 new technology innovations of 2022

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On a cloudy Christmas morning last year, a rocket carrying the most powerful space telescope ever built blasted off from a launchpad in French Guiana. After reaching its destination in space about a month later, the James Webb Space Telescope (JWST) began sending back sparkling presents to humanity--jaw-dropping images that are revealing our universe in stunning new ways. Every year since 1988, Popular Science has highlighted the innovations that make living on Earth even a tiny bit better. And this year--our 35th--has been remarkable, thanks to the successful deployment of the JWST, which earned our highest honor as the Innovation of the Year. But it's just one item out of the 100 stellar technological accomplishments our editors have selected to recognize. The list below represents months of research, testing, discussion, and debate. It celebrates exciting inventions that are improving our lives in ways both big and small. These technologies and discoveries are teaching us about the ...


AI Tool Will Help Automate Ocean Data Analysis - Connected World

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The use of AI (artificial intelligence) technologies is transforming industries from manufacturing to healthcare, retail, agriculture, transportation, and beyond. Precedence Research estimates the global market for AI will reach nearly $1.6 trillion by 2030, up from about $87 billion in 2021. A new AI and machine learning-powered project funded by the NSF (National Science Foundation) will leverage these powerful technologies to transform the way scientists analyze ocean imagery, adding yet one more way AI is changing the way humans interact with everything--from other humans to machines and even data from the depths of the sea. Every day, new information from Earth's oceans is being collected by research crews and ROVs (remotely operated vehicles) equipped with cameras, video cameras, and instruments that measure parameters from the ROV's surroundings, such as water temperature. This equipment allows research vehicles to collect massive amounts of imagery and other data about the ocean.


World's fastest shoe promises to increase your walking speed to 7mph

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Robotic engineers have unveiled what they claim are the world's fastest shoes - footwear designed with eight wheels that increase walking speeds by 250 percent. Called Moonwalkers, they strap around your shoes and propel you forward using tiny electric motors that power weight wheels, mimicking that of roller skates. The shoes are the brainchild of a team of robotics engineers at Shift Robotics, which thought of the idea when the founder started walking to work and realized powered shoes would dramatically cut his commute by more than half. This is because it increases walking speeds from the average 3mph up to 7mph. The team markets the tech, which retails for $1,399, for those'who have the need for speed' and see's Moonwalkers as the future of walking.


The world's fastest shoe promises to increase your walking speed to 7mph - but they'll cost $1,399

Daily Mail - Science & tech

Robotic engineers have unveiled what they claim are the world's fastest shoes - footwear designed with eight wheels that increase walking speeds by 250 percent. Called Moonwalkers, they strap around your shoes and propel you forward using tiny electric motors that power weight wheels, mimicking that of roller skates. The shoes are the brainchild of a team of robotics engineers at Shift Robotics, which thought of the idea when the founder started walking to work and realized powered shoes would dramatically cut his commute by more than half. This is because it increases walking speeds from the average three miles per hour up to seven miles per hour. The team markets the tech, which retails for $1,399, as for those'who have the need for speed' and see's Moonwalkers as the future of walking.


MEMOGRAM – Time(text)capsule camera

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Created by Jamy Herrmann at ECAL, MEMOGRAM is a (non)camera that prints our images in the form of a written description, inviting users to (re)discover those moments in images. Today, for many, the memories that remain are only those of images taken with digital cameras. This project uses many different techniques since it is both tangible and digital. Both versions are made in 3D printing and then wrapped with a paper explaining the steps of use. The electronics are comprised of a thermal printer (and a paper roll) connected to a custom PCB equipped with an Arduino nano and a bluetooth UART module.


Machine learning finds fluoride battery materials that could rival lithium

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Machine learning has been used to quickly discover some of the most promising materials for fluoride-ion batteries. The work could accelerate development of these batteries, which are tipped by some to rival, or even replace, lithium-based ones. In theory, fluoride-ion systems are ideal for batteries in everything from electric vehicles to consumer electronics. That's because fluoride ions are lightweight, small and highly stable. Fluoride is also cheaper than lithium and cobalt that are required for lithium-ion batteries.


Digital Twins on AWS: Driving Value with L4 Living Digital Twins

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In working with customers, we often hear of a desired Digital Twin use case to drive actionable insights through what-if scenario analysis. These use cases typically include operations efficiency management, fleet management, failure predictions, and maintenance planning, to name a few. To help customers navigate this space, we developed a concise definition and four-level Digital Twin leveling index consistent with our customers' applications. In a prior blog, we described the four-level index (shown in the figure below) to help customers understand their use cases and the technologies required to achieve their desired business value. In this blog, we will illustrate how the L4 Living Digital Twins can be used to model the behavior of a physical system whose inherent behavior evolves over time.