Cifre - Agile Model-based System Engineering for

il y a 3 semaines

Lyon, France Université Lumière Lyon 2 Temps plein

**CIFRE - Agile Model-Based System Engineering for multi-disciplinary optimization in future vehicle development**:

- Réf
- **ABG-116226**
- Sujet de Thèse- 17/08/2023- Cifre- Université Lumière Lyon 2- Lieu de travail- Lyon - Auvergne-Rhône-Alpes - France- Intitulé du sujet- CIFRE - Agile Model-Based System Engineering for multi-disciplinary optimization in future vehicle development- Champs scientifiques- Informatique
- Mots clés- Design Space Exploration, Surrogate Modelling, Agile Model-Based System Engineering (MBSE)**Description du sujet**:
**1. Title**:
Agile Model-Based System Engineering for multi-disciplinary optimization in future vehicle development

**2. Key words**:
Design Space Exploration, Surrogate Modelling, Agile Model-Based System Engineering (MBSE)

**3. Context of the research project**

Bus, Trucks and Light Vehicle markets have high-complexity product portfolios. In this sector, we are often challenged to explore possible design options for our new vehicles’ development. Especially with the increasing need for improved sustainability, we are investing more in our future products.

**3.1. **Company presentation**

Iveco Group, a company committed to transforming their business and leading the change to a more sustainable future. Iveco Group is the house of eight unique, yet unified Brands. Our product range includes Light, Medium and Heavy Commercial Vehicles (IVECO), Powertrain (FPT Industrial), Buses (HEULIEZ, IVECO BUS), Financial Services (IVECO CAPITAL), Specialty Vehicles (IDV, ASTRA and MAGIRUS).

**3.2. **Research laboratory presentation**

The DISP Lab (Decision & Information Systems for Production systems, UR4570), gathers researchers from the “Université de Lyon” around a double expertise in Industrial Engineering and Enterprise Information Systems. The DISP lab brings to this project specific competences in models engineering for products at the design phase.:

- Simulation and federal simulation modelling
- System modelling,
- System architectures
- Model-Based System Engineering
- Model exploration
- Model mapping

The DISP lab will provide the scientific, technical, and material supports (dedicated IT working-space) to achieve the research project tasks and obtain the targeted results.

**4. The research approach.**

The targeted research aims at proposing a model-based approach to optimize vehicles engineering models and accelerate the release of future vehicles designs.

**4.1**. **Research interest**

When we want to design new products, we need to integrate multiple simulation models (e.g., Finite Elements Model, Cost, Control, etc.) developed with different simulation tools. However, these models are heavy. They include enormous quantities of data for different scenarios. To overcome the crucial computational burden brought by these models, we need make them lighter. To do so, we generate representative data from these models (i.e., Surrogate Modelling) that enable us to have light, quick, inexpensive; but low-fidelity models. We then link our product requirements to our models to ensure that the simulations satisfy our requirements. Running all these models at the same time for a defined objective and optimizing them to get the best scenario for our future vehicle design, nevertheless, is a challenge in automotive industry.

**4.2**. **Research objectives and related issues**

The proposed research project is organised around 3 complementary research objectives:

- Obj1: propose a model-based system engineering architecture to drive design process of new products. The related research issues are:

- Definitin and validation of high-quality requirements models
- The cnnexion between several modelling perspectives
- The definitin of agile reference architecture for the generated models
- Obj2: propose a surrogate modelling approach to lightweight complex engineering models and facilitate their exploitation. Some related research issues can be listed below:

- The apprximation method for surrogation
- The trade-ff between objectives in surrogate modelling
- The management f noise in data.
- Obj3: propose design space exploration (DSE) methodologies to achieve a near-optimal system. The related research issues are:

- The definitin of the methodology steps
- The alignment between design iteratin, design parameters, design problems and near optimality.

The proposed research objectives will be developed in the next section. The achievement of the expected results will be driven by the respective methodologies.

**4.3. **Proposed methodology and expected results.**

To support the development of new products, we consider innovative Model Based System Engineering methods, Design Space Exploration, and Multi-Disciplinary Optimization to approach the problem of “best” design scenario identification for vehicles.

**_4.3.1. _**Axis 1**:Model-Based System Engineering to drive product design **process.**

Systems engineering is an independent engineering di

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