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== '''Battery systems engineering, from modelling to control''' ==
== Battery systems engineering, from modelling to control ==
David Howey is Professor of Engineering Science at the University of Oxford, UK. He has an MEng from Cambridge University and PhD from Imperial College London. His research group focuses on energy storage engineering, where he has co-authored 120+ peer-reviewed journal and conference articles, and several patents, and is the recipient of grant funding from UKRI, the EU, Faraday Institution, and industry. He currently leads a £1M EPSRC project on grid integration of energy storage, and leads workstreams within the Faraday Institution’s £6M Multiscale Modelling project and two €5M+ EU projects (‘IntelLiGent’ and ‘DigiBatt’). Howey is organiser of the award-winning Oxford Battery Modelling Symposium, and a member of the editorial boards of IEEE Transactions on Industrial Informatics and Oxford Open Energy, plus the Strategic Leadership Group for the Ayrton Challenge on Energy Storage. He is also co-founder of Oxford-based spin-out company, Brill Power Ltd., who raised $10M in 2022
David Howey is Professor of Engineering Science at the University of Oxford, UK. He has an MEng from Cambridge University and PhD from Imperial College London. His research group focuses on energy storage engineering, where he has co-authored 120+ peer-reviewed journal and conference articles, and several patents, and is the recipient of grant funding from UKRI, the EU, Faraday Institution, and industry. He currently leads a £1M EPSRC project on grid integration of energy storage, and leads workstreams within the Faraday Institution’s £6M Multiscale Modelling project and two €5M+ EU projects (‘IntelLiGent’ and ‘DigiBatt’). Howey is organiser of the award-winning Oxford Battery Modelling Symposium, and a member of the editorial boards of IEEE Transactions on Industrial Informatics and Oxford Open Energy, plus the Strategic Leadership Group for the Ayrton Challenge on Energy Storage. He is also co-founder of Oxford-based spin-out company, Brill Power Ltd., who raised $10M in 2022


== '''Agenda, CET''' ==
== Recording ==
15:30 -15:35 Intro {{Template:Viewer/Link|page=Item:OSW72e733f317ef4cf9b8ca53e906c9acb9|url=|label=Simon Clark}}


15:35- 16:30 Presentation “Battery systems engineering, from modelling to control” David Howey
{{#ev:youtube|UvoSRST2Cqg|||Battery 2030+ Excellence Seminar, Battery systems engineering, from modelling to control David Howey}}


16:30- 16:50 Q&A and Summary {{Template:Viewer/Link|page=Item:OSW72e733f317ef4cf9b8ca53e906c9acb9|url=|label=Simon Clark}}
== Transcript ==
 
So I'm going to be talking today about our work in what I call battery systems engineering. And this is because I'm an engineer. I'm not a materials scientist or a chemist. So my work on batteries, our work on batteries, is very much focused on how we can squeeze more out of batteries that we have, not so much on how we can build new types of batteries, although that is interesting and definitely part of our scope as well, but mainly we're interested in making batteries that we have perform better, rather than building new batteries.
 
So that'll be a theme throughout. And I'll be talking about various things we've done in the world of modelling and all the way through to estimation and control. I hope you enjoy it.
 
=== Outline of the Talk ===
So here's an outline of the talk. I'll give some context, motivation, and just general background on our group. And then really the three main sections I want to dive into in a bit more detail:
 
1. The first one is on modelling, which I'll hopefully give you a bit of context for why I think it's important, and how it can have an impact. And then towards the end of that, I'll talk about how we parametrise models, which is a really important challenge, I think. 
2. Second, major topics on degradation and lifetime. Again, I'll try to place that in context and then talk a bit about some of the work we've done. 
3. The final one is on control. So once we've got all this information, we've done some modelling, what do we do? What decisions do we make? What actions do we take? And again, I'll try and show some examples of how we can use this information to make batteries perform better.
 
=== Context and Motivation ===
Okay. I'm sure this audience knows the context pretty well, so I'll just go through this quickly, but we know that lithium-ion demand is increasing rapidly. Cost has been dropping, astronomical amounts by 97% from the mid-90s to just a few years ago, and it's continuing to decrease. And this has really caused an acceleration in the rollout of batteries, not just for consumer electronics as it was in the early days, but these days, obviously for electric vehicles, grid storage, and so on.
 
And this graph is quite interesting. These are just some projections, in this case from Bloomberg, but you can see that a lot of that future demand is really still being driven by passenger EVs. So bear that in mind. And then obviously one of the things that this then leads to is a lot of concern and research and development around where do the materials come from and how do we make the batteries last as long as possible and recycle at the end of life?
 
I'm not going to talk about these topics today, but I just wanted to say that I think they are really, really important topics, and they're going to become more and more important as time goes on. So the bit where we fit in is maybe to say, "Okay, how can we extend the life as long as possible and even know what it is going to be for a particular usage application?"
 
=== What is Systems Engineering? ===
So what is systems engineering? I guess it's quite a broad topic within engineering, but from a batteries point of view, I suppose what we're trying to say is that we want to look after batteries better. Batteries are a bit like people. They don't want to be too hot. They're mechanically fragile and unfortunately, they degrade over time.
 
And so you could think of these kind of three areas. For example, it's key places where the stuff you put around the battery, the thermal management system, the mechanical containment, and the usage electronics and sort of measurements and control systems can make a real difference between a system performing really well and not performing quite so well. So these are the kinds of topics that I'll be talking about.
 
=== Oxford University Background ===
Just to give you a little bit of background on the situation that we have here at Oxford University. We're really lucky to have great heritage. This was the place where John Goodenough and team back in 1980 actually developed the lithium-ion cathodes material. There's a plaque on a wall down the road that commemorates this.
 
And if we fast forward to today, we have a huge number of faculty, postdocs, PhD students. We have academics spanning materials and maths, many names that I'm sure you know here on this list. So we're really lucky that it's a real centre of research in the UK.
 
In my group, we are interested in a variety of things, but mainly we're interested in modelling, we're interested in diagnosing health and performance from data. We do quite a bit of testing mainly of lifetime, and then we are interested in how we control batteries to make them perform better.
 
This is just a photo from our spinout company that Simon mentioned in the introduction, Brill Power, which builds highly modularized battery systems with a lot of active management of balancing and so on.
 
=== Modelling ===
... 
*Insert full transcript content here, using === section headings === and bullet points for subtopics where appropriate.* 
...
 
=== Conclusion ===
Thank you to my entire research group, many of whom are in this photo, although it's a couple of years old, and also all of our funders. And a huge thank you to Simon. I'm involved in a couple of projects with Simon. So much of this work is also with many collaborators, many more than I could name. But thank you to all of you for listening, and I'd be delighted to hear your questions.
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