 Hi, this is Slavic Vojtowicz with Lamberg Solutions. We are a tech consultancy and software engineering company with a strong focus on custom embedded development for various industries and applications. Today we are focusing on automotive with a battery management system demo, which is a stripped-down replica of a real customer project. We've built this project with a recent component from ST. That's SPC58. It's a pretty advanced microcontroller designed to meet the highest ASLD requirements for mission-critical automotive applications. Before we go into the actual demonstration, I'd like to tell you about the most interesting part of it. It's the state of charge and state of health algorithms we developed. Standard Coulomb counting is not always accurate and at certain conditions can give anywhere between 10 to 20% measurement error. And as we know, typical battery issues are caused by overvoltage or undervoltage events driven by inaccurate state of charge or state of health measurements. Our data science team considered multiple use cases, like a sudden temperature drop, for example when you leave your warm garage and get out into the cold ambient winter temperatures, or for instance some discharging events happening in your battery because you left it parked for a few days or weeks. We considered several data points like temperature, range of currents, chemical compounds, in our case this is lithium ion, and capacity. All of this combined allowed us to build a more advanced algorithm for precise state of charge and state of health measurements. Just think about it, when your state of charge algorithm is 90% accurate, you can't add 5 km of your driving range to your product. But when your state of charge algorithm is 98-99% accurate, you can add those extra kilometers to your driving range and this adds a competitive advantage to your product. Let's take a look at the demo itself. As you can see here, we've built this demo based on ST components, Autosar framework, E-Test tools, and we also added some HMI's like the driver's instrument cluster and infotainment system both built with automotive grade litux and QT QML. As you can see on this larger display, we can see all of the battery cells, we can tap to select individuals and see their active parameters like voltage, temperature, and of course our advanced state of charge and state of health measurements. And also down here we also have a pedal, which we can press to accelerate a bit. The wheels will spin to discharge our battery and we can see the parameters change on the display. Alright, thank you for watching. Please visit our website, it's LambergSolutions.com to learn more about this BMS demo and other cool embedded IoT and AI projects we've delivered. See you around.