ST is an ecosystem enabler: Addresses Smart City Market with Automotive, Industrial and AI solutions

ST during the recent Smart Cities 2019 expo demonstrated top cutting-edge products which included, drill demo; On Board Charger; 1KW/2KW/3KW Fully Digital AC-DC (SMPS) Power Supply evaluation board and HMI Graphics using Touch GFX and NFC elock

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Below are the Highlights of ST’s Expertise in automotive, Industrial and AI Market:

Automotive

On Board Charger for Electric Vehicle

On Board Charger for Electric VehicleThe panel shows the main ST devices that can be part of an On Board Battery Charger (OBC) system for an electric vehicle from power devices to control devices 1KW SMPS digitally controlled multiphase Interleaved converter using STNRG388A The STNRG388A power conversion dedicated peripherals (SMEDs) offer the flexibility to drive the interleaved power stages while guaranteeing the correct phase realignment during the activation and deactivation of each stage.

The architecture is based on a multiphase interleaved DC/DC converter using the half bridge SAB (“Single Active Bridge”) topology supporting more than 1000 W of power.
The interleaved topology balances the power through 3 parallel stages. Also, the solution delivers high efficiency during the whole load range by enabling one, two or three stages depending on the load.

Applications

  • Digital Controller: STNRG388A
  • 3 Phase Interleaved DC/DC architecture
  • Full Load power: 1000W (Scalable upto 3KW)
  • Efficiency more than 94% from 10% to full load
  • Peak Efficiency: 96.5% at full load
  • Standby Consumption: 425mW
  • Input voltage range: 350 – 420VDC
  • CC/CV output regulation
  • Output Voltage Regulation: 133V
  • Output Current Regulation: 7.5A
  • OrdMeraaxbimleuCmoOdeut–puStTCEuVrAreLn-tISfoAr 1e7a2cVh2phase: 2.5A
  • Modular Control and Power Board
Industrial

Drill Demo

Drill Demo

Advanced BLDC Motor Controller with embedded STM32 MCU . A Drill shape with work- ing electronic inside. The user can act on the drill button to activate the rotation , change the rotation speed with the proper knob and change the spin direction with a lever. This is based on STEVAL-SPIN3201

Key Features:

  • Voltage from 8 V to 45 VInput Voltage from 8 to 45V
  • Output Current up to 15Arms
  • Embedded 3.3V Buck Regulator
  • Embedded 12V LDO regulator
  • 3 Shunt Current Sensing
  • Digital Hall Sensors and encoder Input
NFC e-lock

NFC e-lock

A smart lock can be accessed via NFC contactless technology, with a user’s smart phone or the NFC tags. ST25R NFC Reader devices are ideal for the secure NFC lock applications

Key Features:

  • No mechanical key required.
  • Can trace unlocking records
  • Higher security. No unwanted interception or hijackings.
  • Faster connection speed.
HMI Graphics using Touch GFX 

HMI Graphics using Touch GFX

The STM32 family provides a comprehensive offer for Graphical User Interfaces (GUI), which enables developers to easily add a smartphone-like GUI to embedded devices, accelerating the “HMI of things” revolution.

STM32 devices with advanced graphics capabilities and the TouchGFX software framework. TouchGFX includes an easy-to-use GUI builder, TouchGFX Designer. This drag and drop tool seamlessly integrates into your TouchGFX development, moving you quickly from idea to end-product.

Key Features:

  • Graphics advanced capabilities showing on STM32H7 demo kits.
  • ST’sTouchGFX GUI solution ensures great graphics and smooth animations for STM32
  • Uses minimal resources and power consumption.
Artificial Intelligence

AI powered Character Recognition

New ultra-low power STM32L5 Discovery board with security and smartwatch-type screen. Human Machine Interaction (HMI) demo using the touchscreen for AI-enabled hand-writing character recognition.

Key Features:

  • STM32L5 extends the performance of STM32L4 family
  • Perfect match for smart-sensing Ultra Low Power IoT applications

AI powered Single Object Classification

Example of Fixed Point processing. ST customized, Single Object Classification Neural Network (NN).

Key Features:

  • Image classification using the STM32H7 Discovery kit with STM32F4DIS-CAM camera module
  • Trained for food recognition (18 classes)
  • Fixed Point NN support on STM32Cube.AI coming in 2019

AI powered Human Activity Detection

Human Activity detection demo on SensorTile. Detection results displayed on Mobile App.

Data collection and labeling on the SD Card of the SensorTile device.

Key Features:

  • Full example of Neural Network project using Motion MEMs input. Includes data pre-processing
  • Runs on small form factor, battery-powered SensorTile Hardware
  • Firmware update Over The Air (FOTA) available