NXP Support Package HCP

This package represents the MATLAB Installer add-on for the FREE of cost, NXP’s Model-Based Design Toolboxes.
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Aktualisiert 7 Mär 2022

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Following are the steps to install NXP’s Model-Based Design Toolbox for HCP Series of MCUs:
1. Go to Add-On Manager in MATLAB and select the NXP Support Package HCP toolbox. Select Open Folder option to navigate to the installation path.
2. Run NXP_Support_Package_HCP script and follow the next quick steps as guided by the installer:
2.1 Create an account with NXP (toolbox is for free but account is requested to download the tool and access training & support on NXP Model Based Design Toolbox Community).
2.2. Download NXP Model-Based Design Toolbox for HCP
2.3. Install the toolbox
2.4. Verify the correct installation
The NXP's Model-Based Design Toolbox is a quick solution for testing and rapid prototyping applications on top of NXP MCUs.
It provides an integrated development environment and toolchain support for configuring and generating applications to execute complex applications.
This toolbox includes integrated Simulink embedded target for NXP HCP platforms, S32G2xx, S32S2xx and S32R41 GCC compiler and additional tools for debugging and real-time data visualization.
HCP Model-Based Design Toolbox Main Features:
- Generate code for standalone application with direct download to target support
- Ready to run examples for all supported peripherals and Simulink Blocks
Visit https://community.nxp.com/community/mbdt - for examples and support.

Zitieren als

NXP Model-Based Design Toolbox Team (2024). NXP Support Package HCP (https://www.mathworks.com/matlabcentral/fileexchange/101378-nxp-support-package-hcp), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2020a
Kompatibel mit R2020a und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Version Veröffentlicht Versionshinweise
1.1.0

Added new target support: S32R41
Expanded MATLAB support to R2020a-R2021b
Added various demos (e.g. MFSK radar range and speed estimation on multiple targets example)

1.0.0