LPCXpresso55S16 Development Board

LPC55S16-EVK

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The LPCXpresso55S16 board provides the ideal platform for evaluation of the LPC55S1x/LPC551x MCU family, based on the Arm® Cortex®-M33 architecture. Arduino® UNO compatible shield connectors are included, with additional expansion ports around the Arduino footprint, along with a PMod/host interface port and MikroElektronika Click module site. The board features an onboard LPC-Link2 debug probe based on the LPC4322 MCU for a performance debug experience over high-speed USB, with easy firmware update options to support CMSIS-DSP or a special version of J-link LITE from SEGGER. The board can also be used with an external debug probe such as those from SEGGER and P&E Micro.

The LPC5500 series is fully supported by NXP's MCUXpresso suite of free software and tools, which include an Eclipse-based IDE, configuration tools and extensive SDK drivers/examples available at MCUXpresso SDK Builder. MCUXpresso SDK includes project files for use with IDEs from lead partners Keil and IAR.

Built with advanced security in mind, the LPC55S16 MCU has been awarded Level 2 certification in the Arm Platform Security Architecture (PSA) certification scheme, PSA Certified and features TrustZone, Secure Boot, Crypto Acceleration, Real-Time Encrypt/Decrypt and SRAM PUF.

The LPC55S16-EVK is supported by Zephyr OS for developing the Internet of Things with a free, open source embedded operating system. Click here to go to the Zephyr board page.

The LPC55S16-EVK has been validated to support Alexa Connect Kit (ACK) - helping to accelerate your next smart application. To get started, developers should first procure the USI MT7697H Development Kit for ACK. The USI MT7697H development kit and getting started guide enable you to quickly experience ACK-based connectivity and Alexa voice control. Once you have a voice prototype working, you can use the LPC55S16-EVK as the ACK Host Microcontroller Unit (HMCU) to quickly develop Alexa-connected applications.

Next Steps:

  • Learn more about Alexa Connect Kit
  • Get the ACK Device SDK port and documentation for LPC55S16-EVK
  • Download the LPC55S16-EVK Quick Start Guide for ACK

Product Details

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Supported Devices

Processors and Microcontrollers

LPC5500 Cortex-M33

  • LPC551X-S1X: LPC551x/S1x: Baseline Arm® Cortex®-M33-Based Microcontroller Family

Sensors

Accelerometers

  • FXOS8700CQ: Digital Motion Sensor - 3D Accelerometer (±2g/±4g/±8g) + 3D Magnetometer

Interfaces

3.3 V / 5 V IO CAN Transceivers

  • TJA1044: High-Speed CAN Transceiver with Standby Mode - Mantis Family

Peripherals and Logic

Analog Switches

  • NX3L2267: Low-Ohmic Dual Single-Pole Double-Throw Analog Switch
  • NX3DV2567: Low-Ohmic Four-Pole Double-Throw Analog Switch

Features

Processors

  • LPC55S16 Arm® Cortex®-M33 PSA Level 2 certified microcontroller running at up to 150 MHz
  • 256 KB flash and 96 KB SRAM on-chip
  • HLQFP100 package

Debug Capabilities

  • LPC-Link2 debugs high-speed USB probe with VCOM port
  • I2C and SPI USB bridging to the LPC device via LPC-Link2 probe
  • SWO trace support (MCUXpresso IDE)
  • Debug connector to allow debug of target microcontroller using an external probe

Expansion Connectors

  • MikroElektronika Click expansion option
  • LPCXpresso expansion connectors compatible with Arduino UNO
  • PMod compatible expansion / host connector

User Interface

  • Reset, ISP, wake and user buttons for easy testing of software functionality
  • Tri-color LED

Connectivity

  • Full-speed USB device / host port
  • High-speed USB device / host port
  • UART header for external serial to USB cable
  • CAN Transceiver

Audio

  • Stereo audio codec with in/out line

Sensors

    NOTE: Board revisions later than “B1”, will not have the accelerometer populated.

  • NXP FXOS8700CQ accelerometer

Buy Options

LPC55S16-EVK-Image

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  • $47.35 USD
  • For a quantity of 1
    • Availability: Pending stock
Buy from NXPBuy From Distributor

Documentation

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3 documents

Design Resources

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Design Files

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Software

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Note: For better experience, software downloads are recommended on desktop.

Training

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2 trainings

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