Chemix, Inc. reposted this
I enjoyed speaking with Tim Stevens from MotorTrend Group for his article on what's next in EV batteries and how AI can speed up the development process. At the end of the day, battery development is mapping the high-dimensional input space of battery materials and designs into the high-dimensional output space of performance metrics that drive vehicle performance. When set up properly, this is an ideal problem for AI to solve. This is what we are doing every day at Chemix. Check out the article here: https://lnkd.in/gc_Xjdtp
AI will advance some optimization - but it won’t overcome the limitations of nature. So don’t expect any major miracles. “There are liars, big liars, and battery developers”.
Great discussion, Jason and Tim!
Tim Stevens
1y
Thanks again for your time, Jason!
Data Engineering for Materials and Chemistry
1yLove the idea of slow and steady. I would add that EV batteries are systems challenges that won't be solved by simply optimizing one factor in the cathode or anode, but rather cascading those effects through the system design. LFP is already showing the potential to beat NMC because of better compatibility with pack design challenges. This also means that the ideal for an EV battery won't necessarily be the best for electric aviation or grid storage.