LP-AM13E230
AM13E230xx LaunchPad™ development kit
LP-AM13E230
Overview
The LP-AM13E230 EVM is a cost-optimized evaluation module (EVM) specifically designed for the Texas Instruments AM13E230x real-time microcontroller (MCU) series. This board utilizes the 64-pin AM13E23019GTPMR device and showcases key peripherals such as control, analog, and communications interfaces along with integrated nonvolatile memory. It also features a BoosterPackcompatible expansion connector (40-pins), a 5V encoder interface (eQEP) connector, power-domain isolation, CAN-FD transceiver, and an on-board XDS110 debug probe. This EVM serves a streamlined development platform for all variants within the AM13E230x device series.
Features
- AM13E23019GTPM (64-pin, 512KB flash) realtime microcontroller
- Onboard XDS110 debug probe
- 2x user-controlled LEDs
- 3x pushbutton switches: MCU reset, MCU wake, BSL invoke
- Selectable power domains:
- USB (isolated)
- BoosterPack
- External power supply
- Wide Vin (7-12V)
- Enhanced Quadrature Encoder Pulse (QEP)-based encoder connector
Real-time motor control & automation MCUs
Order & start development
LP-AM13E230-DOC-CERT — LP-AM13E230 EU Declaration of Conformity (DoC)
Supported products & hardware
LP-AM13E230-DOC-CERT — LP-AM13E230 EU Declaration of Conformity (DoC)
Documentation
Release Information
LP-AM13E230 EU Declaration of Conformity (DoC)
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
Supported products & hardware
Products
Automotive body & lighting MCUs
Automotive powertrain, zonal & chassis control MCUs
General-purpose MCUs
Low-power 2.4-GHz products
Real-time digital power MCUs
Real-time motor control & automation MCUs
Sub-1 GHz wireless MCUs
Wi-Fi products
Hardware development
Daughter card
Development kit
Evaluation board
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
Products
Automotive body & lighting MCUs
Automotive powertrain, zonal & chassis control MCUs
General-purpose MCUs
Low-power 2.4-GHz products
Real-time digital power MCUs
Real-time motor control & automation MCUs
Sub-1 GHz wireless MCUs
Wi-Fi products
Hardware development
Daughter card
Development kit
Evaluation board
Release Information
Edge AI Studio is part of the CCStudio™ development tool ecosystem. Edge AI Studio is a collection of graphical and command line tools designed to accelerate edge AI development on TI processors, microcontrollers, connectivity devices and radar sensors. It supports both AI-accelerated devices such as processors featuring a C7™ NPU or microcontrollers featuring a TinyEngine™ as well as AI-supported devices without a dedicated accelerator.
The Edge AI Studio graphical user interface provides a fully integrated solution for data management, model training and deployment on a live development platform. Select from a variety of optimized pre-trained models in the TI Model Zoo and optionally re-train them with custom data (BYOD) to improve accuracy and performance.
Features
- TI Model Zoo containing a wide variety of optimized models
- Supports tasks and models across Time Series, Vision, and Radar
- Supports devices across processors, microcontrollers, connectivity devices and radar sensors
- Data collection
- Data annotation
- Model training with custom data (BYOD)
- Deploy to a live device
- Integration with CCStudio™ IDE
What's new
- Introduce additional Time-series AI tasks
- Regression and Forecasting
- Enable core AI support across TI's MCU device families
- Enabled for all AI accelerated devices and other non-accelerated devices
- Expand core AI support to AM13, AM26, CC13xx, CC27xx, CC35xx, C28xx, C29xx, MSPM0, MSPM33
- Add Sensor BoosterPack™ support for data collection, live preview across MCU LaunchPads™
- Accelerometer + gyroscope, PIR, microphone, ambient light, humidity and temperature
- Enable Library of example projects with predefined datasets
- Enhanced user experience (Revamped workspace, new project, training and deployment workflows)
Technical documentation
| Top documentation | Type | Title | Format options | Date |
|---|---|---|---|---|
| * | EVM User's guide | LP-AM13E230 Evaluation Module | PDF | HTML | Mar 3, 2026 |
Support & training
TI E2E™ forums with technical support from TI engineers
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