CARL RWTH Aachen University

🔋 "Batteries are at the heart of the future energy system." Prof. Dr. Dirk Uwe Sauer vom ISEA - Institut für Stromrichtertechnik und Elektrische Antriebe der RWTH Aachen University freut sich, Sie im RWTH Aachen Campus Zertifikatkurs Chief Battery Officer begrüßen zu dürfen. Für ihn hat der Kurs eine hohe Innovationsbedeutung, da keine andere #Technologie so schnell wächst wie die der Batterie. Als ein Chief Battery Officer werden Sie mit den entscheidenden Kompetenzen ausgestattet, die richtige #Batterie auszuwählen, die Anforderung des Packdesigns zu verstehen und bereit zu sein, die #Energiewelt zu verändern. Lassen Sie sich zertifizieren und werden Sie ein Chief Battery Officer! 👉 RWTH Aachen Campus Zertifikatkurs Chief Battery Officer | Blended Learning 💻 8.-10 April 2025 (Webseminar) & 🏠 6.-8. Mai 2025 (Präsenzseminar in Aachen) 🔗 https://zurl.co/y8FFn #Packdesign #Batterieproduktion #Batterierecycling #Elektromobilität #Weiterbildung #Zertifikat

🚀🔋 Kicking off the new year with an inspiring and productive conference at #Batterieforum #Deutschland! Our team from CARL RWTH Aachen University is thrilled to connect with old friends, academic colleagues, and industry leaders to discuss the exciting opportunities and challenges shaping the future of #battery technology in #Germany. A big thank you to Kompetenznetzwerk Lithium-Ionen-Batterien e. V. (KLiB) and Bundesministerium für Bildung und Forschung for organizing such a fantastic event! At the poster session, we're proud to share our latest innovations in using #artificialintelligence and #machinelearning to enhance battery characterization, aging tests, and field diagnostics: 🔋 Hanna Hoch: "Automated Characterization of Battery Performance from Production Lines with Robotics and AI" 🔋 Runyang Lian: "Bayesian Optimization Powered Adaptive Experimentation for Accelerated Battery Aging Tests" 🔋 Thorsten Tegetmeyer-Kleine: "Automated Segmentation of Cylindrical Cell Electrodes from CT Scans using Computer Vision and Neural Networks" 🔋 Qiao Wang: "Battery Aging Diagnosis with Real-World Field Data and Self-Supervised Learning" #BatteryForum #Innovation #BatteryResearch #ArtificialIntelligence #MachineLearning #Poster #Battery

Nach bald 30 Jahren überaus erfolgreicher Arbeit am ISEA und am E.ON Energy Research Center der RWTH Aachen University neigt sich die Dienstzeit von Prof. Rik De Doncker dem Ende entgegen und die Fakultät für Elektrotechnik und Informationstechnik schreibt die Nachbesetzung der Stelle mit dem Schwerpunkt Power Electronic Systems aus. Es gibt eine etablierte große Arbeitsgruppe und hervorragende Arbeitsmöglichkeiten was Labors und Büros an geht, ein großer Teil davon im CARL RWTH Aachen University. Wir freuen uns auf Bewerbungen. Leistungselektronik als zentrale Komponenten fast aller Techniken für eine saubere Energieversorgung und Mobilität ist die "enabling technology" und daher mit vielen anderen Centern und Initiativen an der RWTH und darüberhinaus vernetzt.

After the on-site inspection in October, the great news came: Both degree programmes were accredited by ASIIN e.V. without any conditions. -𝗠. 𝗦𝗰. 𝗕𝗮𝘁𝘁𝗲𝗿𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗶𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗣𝘂𝗯𝗹𝗶𝗰-𝗹𝗮𝘄 𝗱𝗲𝗴𝗿𝗲𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲, 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆 𝘁𝗵𝗲 𝗙𝗮𝗰𝘂𝗹𝘁𝘆 𝗼𝗳 𝗘𝗹𝗲𝗰𝘁𝗿𝗶𝗰𝗮𝗹 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆) -𝗠. 𝗦𝗰. 𝗕𝗮𝘁𝘁𝗲𝗿𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗹𝗮𝘄 𝗱𝗲𝗴𝗿𝗲𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲, 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆 𝗥𝗪𝗧𝗛 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗰𝗮𝗱𝗲𝗺𝘆) Both degree programmes are designed to train new battery experts. They have a completely new and unique concept of digital teaching, integration into current research and interdisciplinarity. Prof. Dirk Uwe Sauer from ISEA is the academic director of the degree programmes. Many thanks again to the experts who took such an in-depth look at our plans as part of the accreditation process and gave us valuable feedback. Thanks to ASIIN e.V. for their support during the process. Many thanks for the organisation and support of the International Academy (https://lnkd.in/ec6Y4R-g). Additional thanks for your participation and support: Fakultät 6 (https://lnkd.in/eu_4-wwa, PEM https://lnkd.in/eeCK8cqA, TME https://lnkd.in/dP5-uXbf, IKA https://lnkd.in/ewaXNSe, IMD-2 https://lnkd.in/eXYhrmrz, Curious about the new degree programmes? Here you can find more information: https://lnkd.in/e2J2PSVG https://lnkd.in/e4hZQ8Jn

Do sodium-ion batteries last long? 🔋   We at CARL are working on sodium-ion batteries, focusing on understanding the underlying degradation modes.   Check out our latest publication, “Failure Mode and Degradation Analysis of a Commercial Sodium-Ion Battery With Severe Gassing Issue”, which has just been released in Journal of Batteries & Supercaps.   🚀 💡 Takeaways: Sodium-ion batteries offer a promising alternative to lithium-ion batteries by addressing ecological and economic challenges. However, to assess the applicability of these cells for different sectors, understanding aging behavior, including degradation modes, is crucial. This work presents a comprehensive aging analysis of 67 commercial sodium-ion batteries under various temperatures, C-rates, and depths of discharge. We analyzed the initial cell-to-cell variance and the aging trajectories regarding capacity fade and resistance increase. We demonstrated that the cycling rate does not significantly influence the aging trajectories, whereas smaller depths of discharge significantly reduce degradation. The degradation gradients for 25 °C and 40 °C were similar; for −10 °C, we observed rapid capacity fading that can be attributed to irreversible sodium plating. Furthermore, we identified the degradation modes for four different aging categories. Since some aging tests stopped due to gas-induced current interrupt device triggering at low current rates and states of charge, we proposed two hypotheses for the gassing under specific conditions, suggesting inadequate gas consumption in cathode-electrolyte side reactions or solid electrolyte interphase instability as potential causes. Overall, this work provides a valuable in-depth analysis of the aging behavior of a commercial sodium-ion battery as a function of temperature, C-rate, and depth of discharge, with data made available for further research.   📊 Download: https://lnkd.in/eZ_bh_kX   We at CARL congratulate Bowen Qian to his great work he conducted during his bachelor thesis! Many hours he prepared the cells for testing and conducted many cell tests, enabling further data analysis!   We at CARL thank Matthieu Dubarry for the collaboration! This work is a great example of international cooperation on international level, bringing together expertise from the other side of the world! 🌎   Special thanks to Sebastian Klick and Matthieu Dubarry for the comprehensive analysis of all the data! We thank the Bundesministerium für Bildung und Forschung (03XP0302C) for funding. We thank the Federal Ministry for Economic Affairs and Climate Action (3EI6106D) for funding.   Thanks to all authors, Sebastian Klick, Hendrik Laufen, Moritz Fabian Schütte, Bowen Qian, Katharina Lilith Quade, Christiane Rahe, Matthieu Dubarry and Dirk Uwe Sauer.   And special thanks to Christiane Rahe, and Dirk Uwe Sauer for supervision and providing the foundation enabling such research at CARL!   #battery #sodiumion #aging #ISEA #CARL #RWTH

🔋 𝐂𝐚𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐝𝐚𝐭𝐚 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐛𝐚𝐭𝐭𝐞𝐫𝐲 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧? 𝐘𝐞𝐬! Our new research gives a definitive answer. We are excited to share our latest paper: “𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐛𝐚𝐭𝐭𝐞𝐫𝐲 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐥𝐢𝐟𝐞𝐭𝐢𝐦𝐞 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐝𝐚𝐭𝐚” – now published in Energy and AI (Elsevier). 🚀 𝐖𝐡𝐚𝐭’𝐬 𝐠𝐫𝐨𝐮𝐧𝐝𝐛𝐫𝐞𝐚𝐤𝐢𝐧𝐠? Using only #formation #data from 40 NMC/graphite batteries, we developed a data-driven framework that: ✅ #Classifies battery quality with 89.7% accuracy (25°C) and 89.5% accuracy (45°C). ✅ #Predicts battery lifetime with test errors of 6.5% (25°C) and 5.45% (45°C). 📊 𝐇𝐨𝐰 𝐝𝐢𝐝 𝐰𝐞 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐢𝐬? 1️⃣ Extracted 100+ features from formation data (statistical, differential analysis, and electrochemical). 2️⃣Identified critical features (e.g., high voltage duration) via correlation analysis. 3️⃣Applied PCA and Ridge regression for dimensionality reduction – achieving low computational burden and high robustness. 4️⃣Utilized ML models for quality classification and lifetime prediction. 🔑 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫? This study shows that #formation #data can serve as an additional quality gate in #battery #production, reducing or replacing costly end-of-line testing while ensuring high accuracy. 🎓 This work was a fantastic collaboration across RWTH Aachen University: CARL RWTH Aachen University: Jiayu Zou, Dr. Martin Börner, and myself. PEM RWTH Aachen University: Moritz Frieges and Achim Kampker. Department of Computer Science: Yingbo (Ringo) Gao. We’re thrilled about the potential of this approach to enhance quality assurance in LIB production. 🔗 Read the full paper here: https://lnkd.in/en3mgurt Let us know your thoughts or connect for further discussions! #machinelearning #battery #production #lithiumion #artificialintelligence #qualitycontrol #lifetime #aging

Accelerating sodium-ion battery development using physico-chemical models… sure! 🔋🚀   We at CARL are working on sodium-ion batteries and bringing commercial cells into models, enabling new development paths for sodium-ion applications.   Check out our latest publication, “First full cell parameterization of a commercial layered oxide/hard carbon sodium-ion 18650 battery cell for a physico-chemical model”, which has just been released in Journal of Energy Storage.   🚀 💡 Takeaways: With first commercially available sodium-ion cells on the mass market, the interest in analyzing these cells is growing. Utilizing a physico-chemical model (PCM) allows access to internal states of the modeled battery cell and thus to gain a deeper understanding of underlying mechanisms within the battery. For the first time in literature, this work presents a full cell parameterization of a commercial sodium-ion battery featuring a layered oxide cathode and hard carbon anode for use in a physico-chemical model. Various methods were used to parameterize the cell. The laboratory based and partially literature based parameter set and the given PCM were validated using full cell measurements. The validation included a discharge with different C-rates, ranging from C/20 up to 5C. Simulations with the PCM resulted in a root mean squared error of 8.0 mV and 28.6 mV for C/20 and 5C, respectively. The state of charge interval based optimization was presented to improve the utilization of the PCM in understanding the underlying mechanisms within the battery and providing directive guidance for further laboratory work.   📊 Download: https://lnkd.in/egPw97b4   We at CARL RWTH Aachen University congratulate Moritz Fabian Schütte to this outstanding work he conducted during his master thesis! We are proud to foster him as research associate and are looking forward to joint research at CARL RWTH Aachen University!   Special thanks to Jan Kern and Mark Junker for the development of the electrolyte extraction method at @ISEA and supporting the measurements. Many thanks to Laura Henrich for interpretation of Rietveld refinement and calculation of the X-ray density. Exceptional thank to Karl Martin Graff for conducting ICP-OES measurements and support in analysis. We thank the Federal Ministry of Education and Research, Germany (03XP0302C).   Thanks to all authors, Moritz Fabian Schütte, Hendrik Laufen, Daniel Luder, Heinrich Ditler, Jan Kern, Sebastian Klick, Mark Junker, Gereon S., Fabian Frie, and Dirk Uwe Sauer.   And special thanks to Gereon S., Fabian Frie, and Dirk Uwe Sauer for supervision and providing the foundation enabling such research at CARL RWTH Aachen University!   #battery #sodiumion #physicochemicalmodel #pcm #ISEA #CARL #RWTH

Habt Ihr von Diesel-Dieter oder Tante Gertrud auch schon das "E-Autos sind so gefährlich, weil die so leicht brennen!!""-Desinformations-Meme gehört? Hier ist die ultimative Antwort in Studienform. Für Weihnachten. Gern geschehen. https://lnkd.in/diyZDv63

I'm thrilled to represent #WebastoBatteries as a #KeynoteSpeaker at the upcoming #Advancedbatterypower conference and honored to be amongst renowned shapers of the international battery technology landscape.

Bei der heutigen Anhörung des Bundestagsausschusses für Bildung, Forschung und Technologiefolgenabschätzung haben vier unserer KLiB-Mitglieder: Dr. Peter Lamp (BMW Group), Rebekka Mueller (cylib), Prof. Dr. Christoph Herrmann (Technische Universität Braunschweig) und Prof. Dr. Martin Winter (MEET Battery Research Center) zusammen mit Thanh Nguyen Thi Dieu (Batene) als Sachverständige die Bedeutung der Batterieforschung für den Hightech-Standort Deutschland den Bundestagsabgeordneten dargestellt. Eindrücklich beleuchteten sie die fatalen Konsequenzen, die sich aus der Streichung der öffentlich geförderten Batterieforschung im Entwurf des Bundeshaushaltsplans 2025 entwickeln werden. Es wurde deutlich, dass durch die Streichung der Verlust der einmaligen Forschungslandschaft „Dachkonzept Batterieforschung“ droht. Die Botschaften: ▶️ Die Kürzungen der Bundesregierung in der Batterieforschung gefährden die technologische Souveränität und Wettbewerbsfähigkeit Deutschlands. ▶️ Forschung und Entwicklung sind entscheidend für den Aufbau eines nachhaltigen Batterie-Ökosystems und die Wettbewerbsfähigkeit der Industrie, die auf Batterien angewiesen ist. ▶️ Kürzungen in der Batterieforschung gefährden aufgebautes Wissen und internationale Kooperationen. ▶️ Deutschland braucht eine von Politik, Industrie und Wissenschaft gemeinschaftlich getragene langfristige Strategie zum Aufbau eines wettbewerbsfähigen deutschen Ökosystems Batterien. Die Anhörung unterstreicht die Dringlichkeit, die Batterieforschung in Deutschland massiv auszubauen und auf eine verläßliche langjährige Basis zu stellen. Nur so kann die Forschungs- und Innovationspipeline, die in der industriellen Umsetzung mündet, gesichert werden. Sie bildet die Basis für die Wettbewerbsfähigkeit vieler Unternehmen und sichert Arbeitsplätze und Wohlstand am Hightech-Standort Deutschland.