AI for Electrification
Apply artificial intelligence (AI) techniques to the development and operations of electrical technologies
![AI](https://uk.mathworks.com/solutions/electrification/artificial-intelligence/_jcr_content/mainParsys/band_copy_copy_12162/mainParsys/columns_copy_copy_co/1/image_copy_copy.adapt.full.medium.jpg/1733824645051.jpg)
With MATLAB and Simulink, you can model complex behaviors of electrical components and increase simulation speed by creating AI-based reduced order models (ROMs). You can create, train, and test AI-based virtual sensors and control strategies for motors, batteries, power converters, energy management systems, electric vehicles, and grid systems. MATLAB and Simulink help you to ensure safe and efficient operations of electrical systems by integrating AI-based energy forecasting and adopting AI-based predictive maintenance.
You can use AI and data-driven methods to create reduced order models for physical components (such as brushless motors and motor loads) or physical systems and use these models in your design. These methods help you significantly speed up simulations while still capturing the essential behavior of your system.
MATLAB, Simulink, and Simscape enable you to:
With MATLAB, Simulink, and Simscape, you can monitor the condition of assets and estimate their remaining useful life to minimize unplanned downtime, reduce operational costs, and ensure the reliability and safety of power systems.
When implementing power electronics controls, you can use AI to develop virtual sensor models to provide critical signals. Virtual sensors have no recurring bill-of-material cost, they are non-invasive, and they have no maintenance needs.
With MATLAB, Simulink, and Simscape, you can:
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MATLAB and Simulink can help reduce the efforts required to implement an AI-based energy forecasting system to predict electricity supply, demand, and pricing and mitigate uncertainties and risks in power system operations. You can:
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MATLAB and Simulink help you adopt AI-based, high-performance controls of complex, nonlinear, multi-input multi-output (MIMO) systems that require little prior knowledge of the physics of the plant. You can: