Automate Your Research Design & System Modeling with AI Templates and MATLAB

LMS RS
May 7
3 min read

Designing and modeling systems for research papers can be complex and time-consuming—especially when it comes to finding and formulating dynamic equations. But thanks to modern AI tools and templates, researchers now have access to powerful solutions that can significantly simplify this process. In this post, we’ll explore how to automate system modeling using AI-based templates, with a focus on MATLAB code generation for common engineering applications.

The Challenge of Research System Modeling

In academic research, particularly in engineering domains such as electrical or renewable energy systems, modeling your system accurately is crucial. This involves identifying the correct dynamic equations, selecting realistic parameters, and validating performance under different constraints.

For instance, when modeling a photovoltaic (PV) system, researchers must account for solar irradiance, temperature coefficients, voltage and current characteristics, and design-specific parameters. Searching and adapting these equations manually can be tedious and time-consuming.

The Solution: AI Templates for MATLAB Modeling

To streamline this process, AI-powered research tools such as LMSA Templates offer pre-configured, prompt-based code generation. These templates can produce ready-to-use MATLAB code based on simple textual prompts. The AI automatically inserts relevant equations and constants, saving significant time in the modeling process.

With just one input prompt like “Generate a MATLAB code for solar PV modeling”, researchers can get a full, editable code along with explanations. You can simply adjust parameter values such as irradiance or temperature to suit your study and run the simulations directly in MATLAB.

Example 1: Solar PV Modeling

Using LMSA’s "Generate MATLAB Code" template, a simple prompt for solar PV modeling yields a complete MATLAB script. The code includes essential equations for calculating short-circuit current based on temperature and irradiance, and parameters like reference irradiance and temperature.

The tool allows customization: researchers can plug in specific values like 700 W/m² for irradiance or 25°C for ambient temperature, and the output dynamically adapts.

Example 2: Boost Converter Design

A second prompt—“Generate MATLAB code to design boost converter parameters”—produces another detailed script. This code calculates the duty ratio, inductor and capacitor values, and average currents using standard design equations. It works even without predefined equations in the prompt, showcasing the tool’s intelligent equation generation.

Example 3: Battery Management in EV Charging Stations

For modeling energy management in electric vehicle (EV) charging systems, a prompt like “Generate MATLAB code for battery management in EV charging station” generates a script for state-of-charge tracking, energy input/output calculations, and charging strategies.

Researchers can modify initial SOC, battery capacity, or energy flow variables to match their project requirements.

Comparing Other AI Tools for MATLAB Code Generation

Several other AI platforms were tested using the same modeling prompts:

1. Coding Fleet

Offers code generation with plotting capabilities.
Includes options like code explanation and enhancement.
Has limited free usage (10 prompts), with paid tiers starting at $10 for 200 credits and $25 for unlimited access.

2. Workick

Produces parameter-driven MATLAB code similar to LMSA.
Generates more detailed outputs compared to general-purpose tools.
Pricing starts at $1.15/month for unlimited access after 20 free requests.

3. Code Convert

Allows MATLAB code generation and multi-language conversion (e.g., Python to JavaScript).
Less specialized in modeling but useful for general code conversion.
Free for up to 5 conversions, after which paid plans are needed.

LMSAI Templates: Features and Pricing

LMSA offers a comprehensive suite of AI tools specifically designed for academic research, including:

MATLAB code generator
Literature review tools
Plagiarism checkers
Grammar correctors
Referencing tools
Paraphrasers

Conclusion: AI-Powered Research Simplified

Whether you're modeling a PV system, designing converters, or managing EV battery systems, AI tools like LMSAI Templates can automate much of the grunt work involved in MATLAB code development. With just a clear prompt and minimal input, you can generate, customize, and simulate your models effectively.