Transforming EV battery development through the power of AI
Interchange Recharged
Wood Mackenzie
4.8 • 535 Ratings
🗓️ 30 January 2024
⏱️ 42 minutes
🧾️ Download transcript
Summary
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.
Transcript
Click on a timestamp to play from that location
| 0:00.0 | Wood McKenzie's Solar Energy and Storage Summit is back in Denver on the 29th and 30th of April, |
| 0:06.2 | 2026. It's co-located with the brand new North American Power and Renewables Forum, |
| 0:11.9 | which features senior speakers from across the U.S. power sector. Come and join over 450 senior |
| 0:18.2 | leaders from U.S. power developers, utilities, and independent power producers |
| 0:23.3 | to tackle the industry's biggest challenges. From navigating life after tax credits to capturing |
| 0:29.7 | the load growth boom, discover how the energy mix is evolving and how the U.S. is going to meet |
| 0:34.9 | that power demand. Seats are limited, so register now at woodmack.com. |
| 0:40.4 | Woodmackenzie's online Future Facing Commodities Forum is back for its third year. |
| 0:45.5 | Join us online on March 27th for an open discussion with our experts on renewables, |
| 0:50.8 | EVs, and advanced battery technology. |
| 0:53.3 | There will be two events on that date, one during the day in the Asia-Pacific region, and one during the day in Europe and the Americas, so you should be able to find a time to suit you wherever you are in the world. At either one, you will be able to get insights from our unparalleled integrated coverage of the renewables, battery, and electric vehicles value chains. You'll be able to |
| 1:12.7 | hear our industry leading analysts unpack their forecasts for key future-facing commodities, |
| 1:18.5 | including lithium, nickel, copper, aluminum, and rare earths. Learn how technology, geopolitics, |
| 1:25.3 | and regulation are transforming the metals markets as we build an electrified |
| 1:29.3 | future. To register, go to go.woodmack.com slash FFCF 2024. You can find the details in today's show |
| 1:38.9 | notes. This is the interchange recharge, a Wood McKenzie production. |
| 1:45.2 | I'm David Banmiller. |
| 1:48.5 | The traditional process of battery development for electric vehicles is slow, expensive, and capital intensive. |
| 1:55.9 | Over the past few months, we've heard about the seemingly endless use cases for AI in the energy industry. |
| 2:02.0 | Some are significant. Others, however, seem to be all hype. On the show today, we explore how |
| 2:07.0 | AI could help overcome the challenges of predicting battery performance, assist with the vast |
| 2:12.2 | design space, and conduct time-consuming cycle life testing. I'm joined by Alan Espero Grusick, |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Wood Mackenzie, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Wood Mackenzie and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2026.