Learn How AI and Software Are Transforming Battery Design and Testing
Sep 02, 2024
Learn How AI and Software Are Transforming Battery Design and Testing
Artificial intelligence and machine learning have been making their mark on many markets and industries, and electronics and vehicle technology are no exception. At Informa’s upcoming Battery Show in Huntington Place, Detroit, October 7th through 10th, there will be several technical sessions and talks looking at how AI and software is impacting battery design, development, and testing.
-Digital twin technology is proving to be an invaluable aid in design of many new products, and batteries provide a prime opportunity to leverage digital twin software. In a brief talk Tuesday, October 8th at 4:30 pm, “Digital Twins for Battery Design and Test,” Bob Zollo, R&D Solution Architect at Keysight Technologies, will discuss how simulation and modeling can produce a digital twin of the device under test and test system, to shorten the time and expense of design verification. A software framework is used to help reduce costs and speed design cycles.
-On Thursday, October 10, at 10 am, an Open Tech Forum session titled, “Enhancing Battery Modeling and Management with AI: Practical Applications,” two speakers from BattGenie will look at how physics-based battery models have helped engineers attain improved performance in battery cycle life in excess of 100% and significantly reduced charging time. The speakers will discuss how AI is enhancing these physics-based predictive battery models, demonstrating several use-cases for these models that were previously not possible.
Related:Battery Show North America Shares Speaker List
-Later Thursday, at 2:30 pm, an Open Tech Forum session titled, “AI-Powered Automated Inspection for Streamlined Li-ion Battery Manufacturing,” will explore how AI can be used to automate inspection. Keven Wang, CEO at UnitX, will discuss how AI solutions not only identify these defects with unprecedented accuracy but also empower manufacturers to shift their quality strategy from reactive to proactive. AI can prevent manufacturing defects before they occur, dramatically reducing the risk of costly recalls and enhancing consumer safety.
-At the same time Thursday, Richard Ahlfield, Founder of Monolith, will deliver a presentation titled “Using AI-Guided Testing to Validate New Battery Cell Chemistries Faster.” Ahlfeld explores the integration of AI and machine learning in testing, optimizing battery development, enhancing safety through anomaly detection, and efficiently validating new chemistries.
For more information on the Battery Show, go here.