文字起こし 🔗
Prof. Daniel Auger: So whenever I've seen a company fail, it's never been about the technology, it's been about the finance.
Sri Popuri, Ph.D: every EV owner, wants to know one thing, That is how much life is left in my battery, So why can't we still predict them very accurately,
Prof. Daniel Auger: Well, I think one of the things is do we agree what life means? and that's not a philosophical question. That's more of a what you actually need to do with your vehicle? What's to you is life? And I also want to know that if I'm going to spend £12,000 on a second-hand car, that it is going to last more than six months, for example. Now, I don't have an answer for that at the moment. now if you take the air from the outside world, the battery actually gets heavier as it discharges. now that's quite an interesting problem
Sri Popuri, Ph.D: thermal runaways, is the most biggest fears people are having. based on your own experience, Are we getting close enough to detect this failure much early in advance?
Prof. Daniel Auger: using some novel sensors which are not standard on cars at the moment, we've been able to consistently detect thermal runaway created in a one particular way about 15 minutes before it actually happens. I think the the actual physics themselves are, of course, a bottleneck because you can't undo physical reactions with an AI algorithm. People view batteries as an electrochemistry problem, but in reality it's a system design problem.