𝐏𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐜𝐚𝐫 𝐛𝐚𝐭𝐭𝐞𝐫𝐲 𝐟𝐢𝐫𝐞𝐬 𝐰𝐢𝐭𝐡 𝐡𝐞𝐥𝐩 𝐟𝐫𝐨𝐦 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 One of the most critical safety concerns for electric vehicles is keeping their batteries cool, as temperature spikes can lead to dangerous consequences. New research led by a University of Arizona doctoral student proposes a way to predict and prevent temperature spikes in the lithium-ion batteries commonly used to power such #vehicles. The paper "Advancing Battery Safety," led by College of Engineering doctoral student Basab Goswami, is published in the Journal of #Power Sources. With the support of $599,808 from the Department of Defense, Goswami and his adviser, aerospace and mechanical engineering professor and project principal investigator Vitaliy Yurkiv, developed a framework that uses multiphysics and machine learning models to sense, predict and identify lithium-ion battery overheating, known as thermal runaway. In the future, this framework could be integrated into an electric vehicle's battery management system to stop a battery from overheating, thereby protecting drivers and passengers, Goswami said. "We need to move to green energy," Goswami said, "but there are safety concerns associated with lithium-ion batteries." 𝐔𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐩𝐚𝐬𝐭 𝐭𝐨 𝐩𝐫𝐞𝐝𝐢𝐜𝐭 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 Thermal runaway can be extremely dangerous and difficult to predict. "The temperature in a battery will escalate in an exponential manner and it will cause fire," #Goswami said. An #electric_vehicle_battery pack is comprised of closely connected battery "cells." Today's electric vehicles can have more than 1,000 cells in each battery pack. If thermal runaway occurs in one cell, nearby cells are highly likely to heat, too, creating a domino effect. If that happens, the entire battery pack of the electric vehicle could explode, Goswami said. 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 𝐚 𝐠𝐥𝐨𝐛𝐚𝐥 𝐝𝐞𝐦𝐚𝐧𝐝 Goswami's research was published at an important point in American car manufacturing history. In July, the same month the paper was published, the Biden administration announced a $1.7 billion investment in electric vehicle manufacturing across eight states. In 2023, global electric vehicle sales increased 35% from 2022. As demand rises, safety measures are essential to the #electric_vehicle movement, Goswami said. "Many people are still hesitant to embrace #batteries due to various safety concerns," he said. "To gain widespread acceptance, it's crucial for the public to know that ongoing research is actively addressing these critical safety issues." 𝐒𝐨𝐮𝐫𝐜𝐞:- https://lnkd.in/gfGbdqZK #latestnews #latestarticle #trendingnews #trend #topnews #todaysnews
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🚀 Elevate your engineering skills with the "Embedding Sensors and Motors Specialization" https://lnkd.in/g65HqaKm on Coursera! 📚 Master the integration of sensors and motors, a critical aspect of modern robotics and automation. Whether you're an aspiring engineer or a seasoned professional, this course offers practical insights and hands-on projects to advance your expertise. Enroll now https://lnkd.in/g65HqaKm and power up your career! 🔧💡 #Engineering #Robotics #Automation #Sensors #Motors #Coursera #OnlineLearning #ProfessionalDevelopment
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You are a researcher, educator, or student interested in electric vehicles? Is energy consumption an interesting aspect for you? (E.g., you might be a member of a Formula Student Team optimizing your car's energy consumption for the Endurance task.) Check out this webinar to gain a head start! #formulaStudent #ev #electricVehicles #electrification #research #students
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Register here for free webinar: https://lnkd.in/eXsnz7dH Join us on April 17th from 10:00 AM to 11:00 AM GMT+2 for our upcoming webinar, "Energy Consumption Prediction for Electric Vehicles". This session is a deep dive into the challenges and successes of creating a reliable and upgradable energy prediction system that adheres to the highest standards of safety and efficiency. Our webinar will unveil the latest in simulation technologies and integrations that enhance testing scenarios, optimize route planning, and significantly improve the user experience. Highlights include insights into developing energy prediction systems compliant with key industry standards, the impact of Model-based Design in revolutionizing vehicle simulations, and innovations that are setting new benchmarks for accuracy in energy consumption predictions. Secure your spot now and be part of this transformative journey. Register here: https://lnkd.in/eXsnz7dH #Electrification #NiX #Automotive #MathWorks #MATLAB #Simulink #FutureMobility Dmytro Humennyi, Ph.D.
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Miniature Wireless Robot Navigates Tubular Structures
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Mercedes-Benz unleashed its 2040 vision for the future of the #electricvehicle experience last week, unveiling some of its research projects complete with eye-catching autonomous driving features, #AR, something called neuromorphic computing, and other electronics-related enhancements. Sustainability is also front and center, including one of our favorite topics, solar paint. Sustainability & Neuromorphic Computing If neuromorphic computing doesn’t ring a bell, join the club. A quick search of the Intertubes yields an explainer from a research paper recently published in the journal Nature Communications. The authors start off with a warning, though. “Brain-like energy-efficient computing has remained elusive for neuromorphic (#NM) circuits and hardware platform implementations despite decades of research,” they state. That sounds like a dead end for researchers, but the authors have hit upon a promising path towards a #breakthrough, and the #sustainability prize is a big one. “Neuromorphic (NM) computing that mimicks certain neuro-biological architectures of the human brain, is an alternative to the conventional von Neumann computing architecture, and therefore, can be designed to be highly parallel and very low power consuming with the potential to perform certain complex operations faster and in a smaller #footprint,” the authors enthuse. That caught the eye of #MercedesBenz and they went all in. With all those new electronic gizmos, vehicles will need to have “significantly higher energy requirements,” the company advises by way of explaining its interest. They tapped #CanadianUniversity of Waterloo as a research partner on the neuromorphic project, anticipating a 10-fold increase in speed and efficiency in addition to the sustainability benefit of sucking up less energy. More Sustainability: Paint-On Solar Cells Many vehicles spend their day in sunlight, soaking up #solarenergy hour after hour, only to waste it as heat. That’s a perfect opportunity for #solarpanels. The idea of building solar panels into cars has sucked more than one automaker into failure, but it has gained traction with the emergence of thin film solar cells that can fit the curves of a vehicle body. Since Mercedes-Benz is eyeballing next-level sustainability, it is not stopping at thin film. The company is aiming for #solarcells that hover in a paint-able solution. Solar paint crossed the #CleanTechnica radar back in 2018, when the US Department of Energy unveiled a paint-able solar solution deploying #perovskite solar cells. No word yet if perovskites are the particular solar material in Mercedes-Benz’s sights, but that would be a good guess. The sustainability factor is strong with paint-on perovskite solar cells. They are relatively inexpensive and applicable to a wide range of surfaces. They can be deployed in high-volume, fast-throughput roll-to-roll production systems commonly in use today, or sprayed on a car as body paint, as the case may be.
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