Transforming EV battery development through the power of AI

The traditional process of battery development is slow, expensive, and capital-intensive. AI can help overcome the challenges of predicting battery performance, exploring the vast design space, and conducting time-consuming cycle life testing. We are joined by Alán Aspuru-Guzik, a professor at the University of Toronto specialising in Chemistry and Computer Science, and Jason Koeller, the CTO and Co-founder of Chemix, to examine the role of machine learning in EV battery development.  Chemix is exploring new ways of developing batteries for electric vehicles (EVs) by utilising AI, aiming to make it faster and more efficient compared to the traditional, slower, and costlier methods. AI not only speeds up the development process by predicting performance and exploring design options, but also – as Professor Aspuru-Guzik explains - leads to innovative battery compositions that improve performance. The machines can do calculations in timeframes inconceivable for a human. There are wide-ranging applications for AI in areas beyond battery development, including grid optimisation and materials design. Professor Aspuru-Guzik shares insights into the work of the Acceleration Consortium, which aims to be a leading hub for AI-driven scientific advancements in various sectors. Jason addresses some of the practical challenges in the EV industry, such as the need for adaptable battery solutions and the hurdles in introducing new manufacturing technologies. Technological advancement in battery technology and charging infrastructure are progressing together, enabling growth in the EV market. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Clean tech, green finance and energy innovation are the three lanes on the road to a successful global energy transition. At the intersection of these lanes is a place where ideas on finance, technology and policy are shared and debated. That intersection is Interchange Recharged.  Sylvia Leyva Martinez, principal analyst at Wood Mackenzie, invites visionaries, entrepreneurs, policy-makers and energy analysts to explore the newest developments in renewable technology, explain the ideas on global energy policy that could accelerate the energy transition, and identify new funding and financial models that could solve the biggest challenges we face on the way to net zero.  Sylvia and her guests bring you data and forecasts on clean technology, climate science, and offer predictions on the build out of utility-scale projects and the future of green finance. What impacts do the annual UN Conference of the Parties have on decarbonisation goals and climate change? What will COP30 bring? What’s happening in global EV adoption and development? What’s the forecast for solar energy, one of the major success stories of renewable energy in the last ten years? What does the data tell us about the future of hydrogen, of nuclear, or of low-carbon power?  These are examples of the insights and detailed analyses you can expect bi-weekly on Tuesdays at 7am ET.  If you like The Energy Transition Show, Catalyst with Shayle Kann, The Big Switch from Columbia University, Open Circuit with Stephen Lacey or The Green Blueprint, you’ll enjoy Interchange Recharged.  Want to get involved with the show? Reach out to podcasts@woodmac.com to: Bring Sylvia and Interchange Recharged to your event Be a guest on the show  Sponsor an episode Ask a question to Sylvia or one of our guests  Check out another leading clean tech global podcast by Wood Mackenzie, Energy Gang, at woodmac.com/podcasts/the-energy-gang Wood Mackenzie is the leading global data and analytics solutions provider for renewables, energy and natural resources. Learn more about Wood Mackenzie on the official website: https://www.woodmac.com/