Dr. Qichao Hu

You do it, for example, a thousand cells and then a million and then 10 million and then...

Also, at those scales, they order your supply chain, your quality, all the quality process.

I love the details in the manufacturing.

For example, EV, and then you really want to track the safety.

All the batteries in the same fleet of vehicles have the same chemistry.

But once they start entering the manufacturing line, they will have different defects.

Maybe this one has some defects in a step.

step 70 the other one has some defects in step 400 typically you have about 3000 or so steps in the manufacturing so you'll have different manufacturing defects and the ones they are packed together inside a car and then the driver behavior is going to be different so the final battery inside the car the health the safety actually is a function of the the

manufacturing defects and also the driver's unique behaviors.

All this, you really want to track and monitor so that you can do maintenance.

And then you really want to, for example, a regular car, you do oil change once every four, six months.

And then with EV, if you can track that, then you want to be able to predict the incidents before it happens.

So that's the top goal.

It really is to prevent an incident and also predict an incident before it happens.

And then if you apply that in energy storage, you can actually use that for electricity trading.

So what that means is when you do trading, it's basically supply and demand.

Demand, there are these virtual power plants that has to do with weather.

You forecast the weather, you forecast any storm, any major sporting events, if it's a data center, any incoming inferencing jobs.

That's on the demand side.

And then on the supply side, you have a choice.