Which projects fit?
For electromechanical and thermal systems, control plant models and component libraries, especially parameter studies and cross-tool integration.
Modelica
Multiphysics models for co-simulation and design validation
Develop coupled systems, including electromechanical–thermal systems, into reusable, simulation-ready component assets.
What we provide
Modelica delivery includes component models, parameter provenance, initialization, reference scenarios and reproduction instructions. New Horizon checks physical connections and responses from components to systems; FMI work verifies variables, events and communication steps in the agreed receiving tool.
Last updated: 2026-10-13 · New Horizon Digital Outsourcing Team
View delivery and acceptance detailsCapability Highlights
- Reusable Components
- Clear parameters and boundaries
- Integration with Electromechanical–Thermal / Rigid-Body and Fluid Simulation
Typical deliverables
- Modelica Project/Library
- Parameter Table
- Integration Testing Notes
- Example Operating Conditions
Delivery workflow
- 01 Confirm object boundaries
- 02 Component Development
- 03 Integration Testing and Verification
- 04 Library Handover
Frequently asked questions
Are solvers and simulation reports included?
Modeling deliverables focus on models and integration testing notes. Complete simulation reports can be delivered in combination with Simulation Services.
Other Capabilities in This Domain
Implementation References for This Domain
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Knowledge Guides
- How Should Multiple Product Configurations Be Delivered? Align Models, Requirements, and Verification Materials
- What Should Be Checked before Running a Behavior Model? From Initial Context to Event Records
- How Should a SysML Profile Be Customized? Define Meaning before Extending Elements
- How Should Cross-Tool Requirements Exchange Be Accepted? Track Data Loss Explicitly
Case Studies
Engineering delivery brief
How are Modelica multiphysics models accepted and handed over?
What inputs are needed?
Provide topology, component values and units, drives and loads, initial states, measured traces and tool/library licenses. Distinguish design analysis from real-time integration.
Applicability and Limits
Missing parameters require calibration or explicit assumptions. Successful FMU export does not establish universal compatibility, and offline runtime does not prove real-time capability.
What drives time and cost?
Component complexity, initialization, switching events, external libraries and receiving tools affect duration. Validate a minimal co-simulation loop before scaling.
Deliverables and acceptance
Component and system projects
Acceptance Evidence
Check connections, units, initialization and parameter dependencies; record simplifications.
Reference responses and error analysis
Acceptance Evidence
Compare reference traces under identical inputs and sampling, specifying error calculation.
FMU and integration configuration
Acceptance Evidence
Verify export type, platform, variable mappings, events and communication-step sensitivity.
Related case study
Automotive HVAC Virtual Commissioning and State-Twin Preparation
Design a software virtual commissioning workflow and subsequent real-time signal integration around vehicle climate-control requirements, state machines and parameter relationships.
Read the full case studyFurther Reading and Technical References
Related standards and technical documentation for solution selection and implementation.
Discuss Modelica Multiphysics Modeling Services
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.