Powering Electrification with MATLAB, Simulink, and Simscape

Develop electrical technology from components to systems

Electrical Applications

Engineers use MATLAB and Simulink to develop electrical technologies that help increase reliability, improve efficiency, and mitigate climate change, from motor control and battery management for electric vehicles to integrating renewable energy into the power grid.

electric motor control

Motor Drives and Traction Motors

Develop embedded software for motor-inverter systems

renewable energy

Renewable Energy and Energy Storage

Perform grid-scale integration studies, develop wind and solar farm architecture and control systems


Electric Vehicles and Transportation

Perform vehicle-level electrical system and control design for electric transportation

Battery Systems

Battery Systems

Design battery packs and develop battery management systems


Microgrid, Smart Grid, and Charging Infrastructure

Develop network architecture and perform system-level and control system design of power system infrastructure

fuel cell

Fuel Cells and Electrolyzers

Develop architectures and controls for PEM fuel cells and electrolyzers in hydrogen systems

power conversion

Power Conversion

Develop embedded software for high, medium, and low power converter architectures

Power grid

Generation, Transmission, and Distribution

Conduct bulk power grid analysis and planning for generation, transmission, and distribution systems

Building energy

Building Energy Management

Perform power system analysis and energy management design for residential and commercial buildings


AI for Electrification

Apply artificial intelligence (AI) techniques to the design, control, and operation of power electronic devices and power systems.

Engineers and Scientists Worldwide Rely on MATLAB and Simulink for Electrification

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Motor Drives and Traction Motors


“Our mission is to step up the way we use modeling and simulation for digital engineering — it enables us to develop faster and add value to our customers.”

Wladimir Schamai, Danfoss
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Renewable Energy & Energy Storage


“With Model-Based Design, we can prototype and test an early version of our algorithm much faster than is possible with traditional methods. In a matter of hours, we can create a fully-functional prototype that would take several days without Simulink and code generation.”

Adile Ajaja, EVLO
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Electric Vehicles and Transportation


“The Two-Mode Hybrid powertrain took Model-Based Design to a new level within GM. This project provided the confidence and experience we needed to apply MathWorks tools for Model-Based Design on other large-scale global engineering programs.”

Kent Helfrich, General Motors

Why MATLAB and Simulink for Electrification?

MATLAB and Simulink support all stages of electrical technology development from early-stage feasibility studies to proven operational technology.

MATLAB and Simulink make it easy for you to move from:

  • Electrical component design to electrical system design
  • Fundamental control blocks to production-ready control code
  • Desktop simulations to hardware-in-the-loop (HIL) testing

Electrical System Modeling and Simulation

From electrical components to electrical systems

Read more: Model-Based Design

  • Start with an expansive library of models and reference examples, from solar cells to PV farms, single IGBTs to grid-tied inverters, a standalone microgrid to large-scale transmission networks, and from a single motor to full electric vehicles
  • Include multidomain physical effects (such as heat generation in power converters and air flows in fuel cell compressors) for increased model fidelity
  • Tailor models to your needs and strike a balance between model fidelity and simulation speed
  • Conduct studies on physical system models with different component-level and system-level configurations, evaluate design trade-offs, and optimize overall system performance

Control Design and Deployment

From fundamental blocks to production code

Read more: Embedded Code Generation, Hardware Support, Model Deployment

  • Design digital controls in the same environment with the electronic component or electrical system model
  • Choose from prebuilt classical or learning-based control algorithm blocks designed for specific applications such as motor controls and battery management system controls
  • Automate the tuning process and analyze control system response in time and frequency domains with interactive apps and tools
  • Perform rapid control prototyping (RCP) by running desktop control simulations and testing controls on real-time machines
  • Generate readable, optimized C/C++ or HDL control code for deployment on common embedded processor targets and FPGA or SoC targets

System Analysis and Testing

From desktop simulation to HIL testing

Read more: Verification, Validation, and Test

  • Perform system analysis and virtual testing by running desktop simulations of varying parameters, time scales (from milliseconds to hours), and solution scales (from standalone microgrid to interconnected grid networks)
  • Simulate normal and fault operating conditions to ensure robust controls and reliable operations of power electronic devices and power systems
  • Accelerate the simulation process by using parallel computing or deploying code generated from the model to multicore machines
  • Overcome real-hardware infeasibilities and cost barriers by testing controls and operations with HIL testing