For example, their simulation codes have to accurately predict the gas dynamics in the air path system in order to get relevant information about the engine volumetric efficiency and in-cylinder gas composition.
Nowadays, with global standardization, our Romanian colleagues implement engine models in the development loop or even perform minor improvements on them. LMS Amesim models can easily be altered in numerous versions, with an incorporated Renault dacia case study management feature, or include a deeper level of component details.
In a sense, LMS Amesim is the common language that all engineers across regions and departments should speak to streamline development. Control engineers easily access the 1D high-fidelity plant models that are generated by the mechanical engineering teams in charge of the design of the engine and its subsystems.
The upcoming Euro 6 and Euro 7, the European emission standards that define acceptable exhaust Renault dacia case study limits for new vehicles, have increased the workload of engine design and control design engineers. An intricate network of people, processes and tools Complex technologies and stringent standards are not the only difficulties.
LMS Amesim is already the trusted tool that supports the Renault engine team in every stage of engine development. The engine design department in particular fully exploits the software to optimize engine performance and fuel economy. In turn, those detailed models can easily be adjusted to simpler models while remaining extremely accurate.
But whereas system simulation is successfully used for engine development, the models outlined by the controls department lack some maturity. Although engineers appreciate detailed models in the control definition phase, real-time validation requires simpler models, as detailed models would dramatically slow down computation times.
Further process Renault dacia case study are on their way. This project with Siemens PLM Software has enabled us to reduce the time required for complete model identification by a factor of five, from 50 days to only Inserting a full plant model created using LMS Amesim into the control environment, the engineer proceeds with a model-in-theloop MiL calculation only if a model of the complete engine control is available, or a SiL calculation is available when the C-code for the control has been generated, or goes for HiL, coupling the physical engine control unit with the computed model.
Even misunderstandings threaten the teamwork of the French engine design and control development teams. It not only drastically reduces test bench usage, but the upstream design of control laws has led to an overall quality improvement, enabling Renault to reduce warranty costs in the lifecycle of its automobiles.
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The engineers in charge of control design, testing, validation and calibration also expect accurate and predictive models that are capable of being used for extrapolation and interpolation.
Meeting new challenges Renault has been pioneering system simulation for more than 10 years so LMS Imagine. The growing number of systems that are regulated by controls and the multiple interactions of those systems complicate the tasks as engineers need to take a higher number of degrees of freedom into account.
Although they have a common goal, their tools and methodologies differ. At the same time, they want to be able to simplify complex models. As a result, undertaking a modernization of tools and processes is vital to develop more innovative products that will enable the integration of complex technologies and comply with ever stricter standards.
Renault is a global group that designs, manufactures and markets vehicles under three different brands: Renault is a global group that faces the challenge of facilitating cooperation. France centralizes all the engineering departments, Romania focuses on hardware- in-loop HiL test benches; India works on coding and validation; and Spain and Korea get the tuning tasks.
In the control validation and testing stage, the engineer will select the most suitable technical option, depending on the development status of the control.
Those models should certainly be accurate, but also sufficiently flexible so that different teams with varying tasks can adapt them to their specific needs. It can also be deployed in the other phases of the development process, like testing and validation of the control strategies in software-in-the-loop SiL or HiL environments.
Creating new possibilities What sounds like a simple matter is an opportunity to save significant costs.
However, resource optimization is the guiding principle at all levels of the company; initiatives are pursued to dramatically streamline the vehicle development process. Renault engineers take full advantage of this process optimization. Cut this step out of prototype iterations, and it becomes a far less costly proposition.
Our next objective is to reduce this process to two days. Attributes such as drivability, reliability and noise, vibration and harshness NVH are optimally assessed and balanced in early design stages. Indeed, the use of the software is not limited to optimized engine design.
However, the main benefit lies in the huge cost savings that we realize with the tool. Using a common language Renault engineers need a tool that can be used worldwide for efficient virtual prototyping and is standardized so engineers can easily share and exchange models.
Eventually, this team will help us validate models of existing engines or even create entirely new models.
The interaction of models lets engineers balance their different, and sometimes conflicting, needs in terms of model detail levels.
They now have to integrate complicated engine actuation and control systems that will help optimize engine performance with minimal emissions. How do you ensure smooth and seamless collaboration of engineering teams scattered over the world?Multimedia Campaign Effectiveness Renault Dacia Case Study Aided awareness Association to Renault Q: Thinking of affordable car brands, what brand come to mind?
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It was found. The Logan was a low cost car developed by French auto company Renault SA. The car, which Renault intended to be its 'world car', was developed at the company's Romanian subsidiary, Dacia. Though originally meant to be sold in markets in the developing parts of the world, the Logan found unexpected success even in countries like France, Spain.
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Customer Case Studies and Videos Case Study. Case Study Renault, Dacia and Renault Samsung Motors. It operates in countries so it may appear as a maze of administrative departments, research and development (R&D) centers and production sites.
However, resource optimization is the guiding principle at all levels of the. case study Pages 34 pages Level General public Accessed 0 times Validated by Committee mi-centre.com 0 Comment.
Rate this document Specifications is expected to network bi-Renault-Dacia Logan in which is shown in a separate showroom Renault showroom and sold by dedicated sales force. 30 Dacia sales were trained for eight .Download