The MapleSim Modelica Engine is a software component within MapleSim that enables advanced modeling and simulation of multi-domain physical systems using the Modelica language. It provides a symbolic and numeric computation engine to generate model equations, run simulations, and perform analyses, supporting seamless integration of Modelica libraries and custom components for a wide range of engineering and scientific applications.

Key Features

Modelica Support Comprehensive Modelica language integration

• Import and use third-party Modelica libraries and custom components
• Supports Modelica 3.1 Standard Library for electrical, mechanical, signals, and thermal domains

Symbolic and Numeric Engine Advanced computation for simulation and analysis

• Utilizes Maple’s symbolic and numeric capabilities for high-fidelity modeling
• Exposes model equations for deeper insight and custom analysis

Multi-domain Modeling Supports diverse engineering domains

• Model electrical, mechanical, thermal, and signal-flow systems in one environment
• Drag-and-drop interface for building complex system models graphically

Enhanced Simulation Performance Efficient handling of complex models and events

• Simulates continuous and hybrid systems with discrete events
• Improved simulation speed, especially for models with numerous events (up to 100x faster in some cases)

Integration and Extensibility Seamless workflow and toolchain compatibility

• Combine Modelica components with MapleSim’s built-in libraries
• Export and reuse models and code for controller design, HIL, and optimization tasks

Benefits

Accelerated Model Development Reduces time and effort in system modeling

• Drag-and-drop modeling and Modelica import streamline development
• Symbolic approach eliminates manual equation manipulation

Greater Simulation Insight Enables detailed analysis and customization

• Direct access to model equations for advanced studies
• High-fidelity simulations for accurate system behavior prediction

Versatility and Scalability Applicable to a wide range of engineering problems

• Multi-domain support for complex, integrated systems
• Efficient simulation of large-scale and event-driven models