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Battery | Simcenter solutions for battery development

Battery development is complex – requiring electrical, thermal, and structural engineering expertise – wrapped into an all-in-one multiphysics approach. In a successful battery development program, engineers realize innovation in all steps while continually seeing their work in the larger picture by considering the overall requirements. Explore how Simcenter solutions integrate the right mix of expertise, simulation, testing, MBSE and AI to reach your goals, increase productivity, and deliver safer and better, next-generation batteries faster than ever before. #Battery #Electricvehicles #Simcenter ???? Blog article: » Battery safety is not the price we have to pay for long range and high performance in electric vehicles https://sie.ag/4bHEZK ▶️ About Simcenter: Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls, utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables to follow a more predictive process for systems driven product development. Simcenter™ software uniquely combines system simulation, 3D CAE and test to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design and deliver innovations faster and with greater confidence.

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Engineer Innovation Podcast | Getting Started With AI and Machine Learning | Justin Hodges

In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations. In the second half of the podcast we go through a “code-along-with Justin” example using a publicly available dataset. We talk about: • Using ChatGPT to massively increase engineering productivity • The key steps required to perform any AI or Machine Learning project • Some common pitfalls • A way to rapidly assess which AI approach is most useful for your project • Learning resources that will allow you to get started in AI today For more unique insights on all kinds of cutting-edge topics, tune into https://sie.ag/4dNZdb. Here are the links to the resources mentioned in this episode: • A bunny jumping on the back of a dog (created in Mid Journey AI) : https://sie.ag/47dh4M • Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : https://sie.ag/mRXGg • Machine Learning Specialization Coursera: https://sie.ag/4fg129 • Justin’s Data Set: https://sie.ag/5Sbxq3 • Lazy Predict: https://sie.ag/6aKqMK • Simcenter Studio: https://sie.ag/6TS1Pb • Justin’s LinkedIn profile: https://sie.ag/5PFw3P This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. ▶️ About Simcenter: Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods, and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development. Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.

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Use cloud-based PLM to accelerate battery development

The battery industry is thriving, as customers demand quicker, safer, and more affordable batteries. Manufacturers are racing to deliver these batteries first, but how can you ensure you get ahead while also meeting key safety and cost goals? Siemens Teamcenter X is a cloud-based product lifecycle management solution that can help you achieve your battery development goals. Teamcenter X provides a single environment for engineers to collaborate in real-time, access design changes, improve communication, and boost agility. It also helps you build and manage the digital twin of your battery cells, modules, and packs, which can help you resolve product life cycle challenges and changes in one place. #BatteryManufacturing #BatteryDevelopment #PLM #MachineAutomation #TeamCenterX ►INDUSTRY PAGE: https://sie.ag/3KCrWax ►JOIN THE COMMUNITY: https://sie.ag/3QCbZ84 FOLLOW US: ►FACEBOOK: https://sie.ag/3Ozneeu ►TWITTER: https://sie.ag/3QyPl04 ►LINKEDIN: https://sie.ag/3OyWyLa ►BLOG: https://sie.ag/3qjcUQ5 About Teamcenter X: The battery industry is facing unprecedented challenges as demand for sustainable mobility continues to grow. To stay ahead of the competition, manufacturers need to innovate and develop new batteries faster than ever before. Teamcenter X is a cloud-based PLM solution that can help battery manufacturers accelerate their product development process. It provides a single source of truth for all product data, enabling engineers to collaborate more effectively and make better decisions. Teamcenter X also offers a range of features that can help manufacturers improve their safety, quality, and sustainability.

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