```html Next-Generation MCU Stellar P3E for Automotive Electrical System Integrated Control and Edge AI

STMicroelectronics

Next-Generation MCU Stellar P3E for Automotive Electrical System
Integrated Control and Edge AI

SDV · Electrification

Electrical System Integrated Control

Functional Safety · Real-time Control

MCU with AI Accelerator

Webinar Overview

Stellar P3E has been launched to meet higher computational performance, functional safety, real-time control, and Edge AI requirements simultaneously
in environments where SDV and electrification systems are becoming prevalent.

Since automotive electrical systems have powertrain, chassis, and body control closely interconnected,
a high-performance control platform capable of stably handling complex workloads is essential.
Against this background, Stellar P3E is a solution well-suited for integrating multiple control functions and reducing system complexity.
Furthermore, by incorporating an AI accelerator into the MCU,
vehicles can achieve a flawless Edge AI environment where they make safe, fast, and low-power intelligent decisions without network connectivity.

In the upcoming webinar, we will share how ST's Stellar P3E is utilized in automotive electrical system integrated controllers
and what strengths it offers, so we appreciate your interest.

Key Content

Seminar Agenda

Electrical Control Requirements in the SDV and Electrification Era

We examine why high-performance control platforms are necessary in automotive electrical systems where powertrain, chassis, and body control are closely interconnected.

Key Performance of Stellar P3E

We introduce the main characteristics of Stellar P3E, which simultaneously meets high computational performance, functional safety, and real-time control requirements in a single MCU.

Application to Electrical System Integrated Controllers

We share methods for integrating multiple control functions to reduce system complexity and discuss implementation approaches in automotive electrical system integrated controllers.

Edge AI Based on AI Accelerator

We explore the automotive Edge AI environment where the AI accelerator embedded in the MCU enables safe, fast, and low-power decision-making without network connectivity.

Recommended For

Automotive Electrical Control
Hardware and Software Developers

SDV and Electrification System
Architecture Design Engineers

Engineers Evaluating
Automotive Edge AI Applications

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