FEV Europe GmbH’s Post

🚗 🔋 𝗞𝗻𝗼𝘄 𝘁𝗼𝗱𝗮𝘆 𝗵𝗼𝘄 𝘁𝗵𝗲 𝗯𝗮𝘁𝘁𝗲𝗿𝘆 𝘄𝗶𝗹𝗹 𝗳𝗮𝗿𝗲 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄! 🔋 🚗 FEV is developing and validating new algorithms that will allow precise predictions about the state of charge (SoC) and state of health (SoH) during ongoing vehicle operation. With the aid of #artificialintelligence, users of #electricvehicles will be able to predict in real time how the performance and service life of lithium iron phosphate (LFP) and solid-state batteries (SSB) will develop.   The project is currently analyzing battery cell and battery pack data from numerous electrochemical tests on the various battery designs. In the next step, this data will be supplied to an AI model as training material. From this measurement data, the AI is used to describe the SoC and SoH of LFP and SSB. The parameters and algorithms are then used for extensive simulations and developed to a quality level that allows them to be used later in series production. For this purpose, extensive tests are carried out starting from a model-in-the-loop (MiL) up to hardware-in-the-loop (HiL) environment.   By the end of the project, the neural network will be fully integrated into the Battery Management System (BMS) software.   You want to be updated about the latest results of the project? Stay tuned! We will provide you with the latest information here on a regular basis! The project is funded by the 🇪🇸 Spanish PERTE (Strategic Project for Economic Recovery and Transformation) program and will run until 2026.

Heard of #MachineVision? Of course, you have. It is everywhere in the era of #AI. The EMVA - European Machine Vision Association Standard provides a unified method for assessing and reporting key parameters of image sensors and cameras used in machine vision applications. 🎉 I’m thrilled to share that I’ve successfully passed the expert certificate examination for the EMVA 1288 Standard! 🌍 P.S.: 🥂 I achieved the best exam result (89.32%) in this test round! 🥂 As an Engineer, working for CMOS Image Sensor R&D, this certification bolsters my expertise to objectively evaluate Image Sensor and Camera performance, ensuring high-quality results. EMVA 1288 is widely adopted by manufacturers, distributors, and end-users in the semiconductor industry. As India is still lacking expert in pure science ,standardisation and semiconductor, this type of expertise would be important. The training was given by Professor Dr. Bernd Jähne, the chair of the EMVA 1288 standard. #EMVA1288 #CMOSImageSensors #MachineVision

How can AI transform automotive battery R&D? Find out during Ang Xiao's presentation at AABC. Ang will explore how Large Quantitative Models (LQMs) are driving innovation in battery technology and materials discovery, leading to more efficient and durable energy storage. Don’t miss the presentation—and visit the SandboxAQ team at Booth 123 to continue the conversation! https://bit.ly/3Bgp8OF

How can AI help us accelerate the design of next-generation battery materials? Replacing trial-and-error design workflows with data-driven approaches can help boost material performance whilst drastically cutting design times. The Faraday Institution sprint collaboration between Polaron and WMG, University of Warwick is exploring the use of generative AI to optimise the design of LMFP electrodes. More details 👇 https://lnkd.in/gDrRWPrU #artificialintelligence #machinelearning #batteries

Reading in SvD about the highly volatile techmarket and one of the main reasons being the predictions about #AI. The relation to #semiconductor industry and need of energy when AI takes off. I am so happy and proud that we at Strikersoft participate in relevant Edge AI chip research and innovation with KTH, Atlas Copco, ST microelectronics and other European companies to radically reduce energy consumption, while radically increasing computing power for AI on the Edge - chips. The #StorAIge project goes towards it end now, we supplied one of the demonstrators for sensor fusion. StorAIge will soon be succeded by the #Cynergy4MIE project. We will continue there also, adding #mmWave radar to our sensor fusion use case for Search and Rescue missions. https://lnkd.in/dfqBbyB9

In today's newsletter, we look at optics and optical components. We start by looking at the role of optics in AI, dive into surface quality standards for optical filters, and explore the emerging applications of optical interconnects. All that and a whole lot more, thanks to Alluxa, Inc, Schneider-Kreuznach, Accumold, and Iridian Spectral Technologies. https://lnkd.in/eqJMWwhN

Paper title: Review of Various Machine Learning Approaches for Predicting Parameters of Lithium-Ion Batteries in Electric Vehicles Journal : batteries MDPI Impact Factor : 4 citescore : 5.4 Percentile : 71 Shan, Chunlai, Cheng Siong Chin, Venkateshkumar Mohan, and Caizhi Zhang. 2024. "Review of Various Machine Learning Approaches for Predicting Parameters of Lithium-Ion Batteries in Electric Vehicles" Batteries 10, no. 6: 181. Thank you, Dr. Cheng Chin, for your invaluable support and guidance. #EV #machinelearning #deeplearning #review #Predicting #LithiumIon #batteries #mdpi

Looking back at the parallel sessions of #EFECS2024, where participants joined workshops on the Design Platform, Quantum Pilot Lines, Lab to Fab Accelerator on Advanced Packaging, and Edge AI. These sessions highlighted the importance of collaboration and increasing European competitiveness to mitigate the current challenges in the semiconductor sector. 📖 Missed the EFECS recap? Read it here: https://lnkd.in/eeXCJ2k3

It is enriched with AVL data and engineering expertise – we call it ChatSDT. 🤖 Meet our new AI-powered support assistant, built on GPT-4, that will guide you through complex modeling and parametrization task – making your work faster and more efficient than ever. Be among the first to experience ChatSDT in action, along with the powerful new features of the 2024 R2 release: 🔋 Battery: The new “Loss of active material model” in AVL CRUISE™ M is extending the list of already existing battery aging models to support a holistic lifetime prediction. ⚡ Fuel Cell: Electrolyzer simulation is grown to a significant topic. We have introduced new models and generators for PEM, Solid Oxide and Alkaline electrolyzers to support this trend. 🔌 E-Drive: In AVL EXCITE™ M we have made an important step for roller bearing analysis by implementing bearing catalogs from two major bearing manufactures (SKF, Timken) and providing a complete workflow for lifetime prediction. 🚗 Constant Drive and Sankey Diagrams are now available for vehicle energy optimization. Watch the 2024 R2 release event now: https://lnkd.in/dwC5aXjc #release2024r2 #AI #generativeAI

Our own Riccardo De Monte attended the 10th IEEE International Conference on Control, Decision and Information Technologies in Malta! At the conference, we presented collaborative work between AMCO Lab - UniPD and Infineon Technologies (Filippo Boni, Dr. Yao Yang, Dr. Natalie Gentner, Joon Khim Low and Gian Antonio Susto) on 'Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation'. In the work, we demonstrated how OEE can be successfully forecasted thanks to deep learning architecturs even in the complex scenarios of semiconductor manufacturing. #artificialintelligence #deeplearning #ieee #semiconductormanufacturing