This package represents the MATLAB Installer add-on for the FREE of cost, NXP’s Model-Based Design Toolboxes.
Updated 7 Dec 2023

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Following are the steps to install NXP’s Model-Based Design Toolbox for Z/E Series of MCUs:
1. Press the Open Installer Guide button in Getting Started live script or run NXP_Support_Package_S32ZE command, 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 S32Z/E Series
2.3. Install the toolbox
2.4. Verify the correct installation
2.5 Generate a free of charge license
2.6. Activate the toolbox
2.7 Verify the license activation
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 (including initialization routines and device drivers) to execute complex applications.
This toolbox includes integrated Simulink embedded target for NXP S32Z/E, peripheral device blocks and drivers, GCC compiler and additional tools for debugging and real-time data visualization.
S32Z/E Model-Based Design Toolbox Main Features:
- Generate code for standalone application with direct download to target support
- PIL simulation with code execution profiling for ARM Cortex-R52 and SPF2 cores
- Peripheral support for ARM Cortex-R52 (ADC, CAN, DIO, GPT, ISR, PWM, UART)
- Automotive Math and Motor Control Library Simulink blocks (AMMCLIB)
- Ready to run examples for all supported peripherals and Simulink Blocks
- Standalone application export in S32DS project format
Visit https://community.nxp.com/community/mbdt - for examples and support.

Cite As

NXP Model-Based Design Toolbox Team (2024). NXP_Support_Package_S32ZE (https://www.mathworks.com/matlabcentral/fileexchange/134202-nxp_support_package_s32ze), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with R2021a and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

We have added support for Multicore support, memory size report and optimizer, extended support for MATLAB to R2023b, and updated other components (RTD, AMMCLib).