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Engine Control

 
LMS Imagine.Lab Engine Control is an integrated solution to design robust engine controls. From design to validation, it provides a toolset to manage the growing complexity of engine control strategies and drive assistance technologies directly linked to the engine. The solution is based on strong modeling competence and a thorough understanding of the system physics.
 

Internal Combustion Engine_Engine control_1_Low.jpgLMS Imagine.Lab Engine Control is a complete and integrated solution to design and set up robust engine controls. From design to validation, it provides a relevant toolset to manage the growing complexity of engine control strategies and drive assistance technologies directly linked to the engine (speed regulation, gearbox). LMS Imagine.Lab Engine Control goes further than the classical “automatic” control approach, and provides a unique methodology for control design. The solution is mainly based on a strong modeling competence and a thorough understanding of the system physics.


OEMs and suppliers, engine manufacturers, engine control designers and testers (HIL test-benches) will be able to use state-of-the-art engine models, suitable for every stage from design to validation, as well as in real time. By using LMS Imagine.Lab AMESim throughout the development process, project engineers can implement and capitalize on their own modeling know-how, and share models to gain time and efficiency. Model accuracy and real–time analysis are no longer incompatible.

LMS Imagine.Lab Engine Control comes with a set of cutting-edge components:
  • The LMS Imagine.Lab AMESim core platform
  • Control-specific interfaces (Simulink and Real-Time)
  • Links with market reference software : Simulink (Mathworks), Morphee2 (D2T), LabView RT (NI)
  • Standard and specific libraries and components/models
  • Analysis tools and methodologies for model reduction
For more specific usage, detailed models of engine subsystems are available (injection, air loop, driveline, thermal, electrical actuators and motors) as well as analysis tools to study the combustion process in real time.

Implementing LMS Imagine.Lab Engine Control helps engineers reduce time to market (gain in efficiency) and design/validation costs (mainly reduce testing needs) while improving quality and robustness (better physical understanding, increase validation capacity). It offers unrivalled model-based, multi-domain system simulation within a single simulation platform, both in the design and validation process (Hardware-in-the-Loop and Software-in-the-Loop).

LMS Imagine.Lab Engine Control has been developed in close collaboration with IFP, ensuring delivery of cutting-edge, innovative and robust solutions.



Features

  • Engine models running offline/online (real time)
  • A chain of models with associated methodology, suitable for every stage of the design process
  • Non-linear engine models based on physics (including phenomenological combustion models)
  • Several model levels available for most components (to find the best compromise between detailed description and CPU time)
  • Engine model can be linked to other AMESim model libraries (cooling system, transmission) to obtain a comprehensive model
  • Compatibility with major hardware manufacturers for real-time simulation (Mathworks, NI, D2T…)


Benefits

  • Process more virtual adjustments and tuning
  • Improve test quality and perform in-depth control validation thanks to more accurate and faster models
  • Develop more sophisticated and easy to calibrate control strategies
  • Take advantage of a single environment for engine and control design/validation
  • Gain in efficiency with easy-to-share models
  • Quickly adapt to new projects with easy-to-modify models
  • Reduce need for testing on account of real-time combustion models based on geometrical parameters , improved test specification and better insight
  • Comprehensive engine actuators modeling



    Covering a range of industries, LMS application cases let you discover how LMS solutions help our customers solve their real-life engineering challenges.

    diesel engines modeling design software 3.gifDelphi cuts next-generation diesel engines ECU development time with LMS Imagine.Lab AMESim 

    Working together with LMS Imagine.Lab engineering services, Delphi engineers use LMS Imagine.Lab AMESim multi-domain system modeling software to efficiently develop advanced HiL simulators to design and test electronic control units for tomorrow’s fuel-efficient, clean-running diesel engines.




    hydraulic aircraft braking steering landing simulation 3.jpgMessier-Bugatti optimized the A380 nosewheel steering and braking system with LMS Imagine.Lab AMESim

    To save weight on the A380 superjumbo aircraft, Messier-Bugatti used LMS Imagine.Lab AMESim and the Ground Loads solution to design an innovative decentralized hydraulic generation system with lightweight micro-pumps delivering power locally to emergency braking and landing gear steering systems.



    air-conditioning amesim renault thermal cooling -1Renault applies AMESim to streamline its cooling and air-conditioning systems development process

    To comply with the multiple constraints relative to vehicle designs that affect the thermal management of underhood systems, and to ensure high-quality passenger comfort, Renault decided to rely more on simulation to engineer the underhood thermal environment. The French car maker deployed the AMESim solution as a collaborative system simulation platform.



    More cases:





    Brochures
    Download the LMS Imagine.Lab Overview Brochure
    Download the LMS Imagine.Lab AMESim Internal Combustion Engine Brochure


    Internal Combustion Engine_Engine control_2_Low.jpg Internal Combustion Engine_Engine control_3_Low.jpg Internal Combustion Engine_Engine control_4_Low.jpg
    The co-simulation between LMS Imagine.Lab AMESim and Simulink is used to design engine control strategies with the help of an engine-to-pilot model. A complete vehicle model including a mean value engine model as the core of an engine HiL test bench. A methodology has been set up to simplify high fidelity models into a mean value engine model, using the DOE tool embedded within LMS Imagine.Lab AMESim.




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