What are the best practices for using vehicle dynamics simulation tools in a team?

When using a vehicle dynamic simulation tool in a team, consider these best practices: 1. Collaborative Planning 2. Version Control 3. Documentation 4. Standardized Workflows 5. Regular Communication 6. Training and Skill Development 7. Quality Assurance 8.Data Management 9.Performance Optimization 10.Testing and Validation 11.Continuous Improvement 12.Security Measures: By incorporating these practices, a team can maximize the effectiveness of a vehicle dynamic simulation tool and achieve more accurate and reliable results.

I've been working with simulations and real tests in my whole career. For me, the best practice to achieve the very repeatable and precise result is to understand both sides, Simulation and Real Test. Simulation: The simulation engineers need to understand the tests maneuvers, if possible inside a real test vehicle. Real testing: The test engineers need to understand the calculations behind the simulation tool to understand parameters and how real world matches to simulation. Doing that, the brainstorming from both areas can result in consistent improvement in precision of simulation. I've done it by myself as a Simul & Test engineer and today knowing the 2 sides, I still give insights to simulation and test teams.

Considering the right software tool is important for a specific vehicle dynamics problems. You don’t need to overkill and make models complex every time. Sometimes the simplest things can give you the best results. Personally, for early concept stages or pre-study phase..you can build a simple 1D matlab/simulink/GT-suite models to do that vehicle dynamics simulations rather than getting into Adam’s or any 3D domain. As an example: you can use Matlab/GT-suite to build a quarter model of suspension sub-assembly in vertical direction to evaluate its performance than getting straight into Adam’s or Carsim. This would save time and computation money and reduce lead time in development phase.

A wide range of measurement equipment is needed. The teams work is supported by various sensors and measurement systems including but not limited to different kinds of dual antenna GNSS systems with RTK correction, a Correvit 2-axis optical sensor, IMU units, strain-gauge measurement system, etc. A direct access to the test platforms of the ZalaZONE Automotive Proving guarantees that a wide variety of test runs can be carried out such as highly dynamic test on the dynamic platform and the handling course as well as on different surface qualities on the braking platform. The most commonly used platform for custom model implementation is MATLAB/Simulink that ensures quick and flexible model development, evaluation and documentation.

Controllability, reproducibility, and standardization. Automotive simulation plays a pivotal role in optimizing energy efficiency, a crucial factor in reducing carbon emissions and combating climate change. Engineers can analyze and fine-tune various vehicle systems, including powertrains, aerodynamics, and thermal management, using simulation tools.

When using vehicle dynamics simulation tools in a team, establishing a standard workflow is crucial. It's important for team members to agree on consistent file naming conventions, simulation setup procedures, and data storage protocols. By creating a standardized workflow, team members can easily understand and navigate each other's work, leading to improved collaboration and efficiency. Additionally, clearly defining roles and responsibilities within the team can ensure that everyone knows their tasks and how they fit into the overall workflow. Regularly updating and refining the standard workflow based on feedback and lessons learned from previous projects is also important to ensure continuous improvement and adaptability.

Vehicle dynamics teams are usually fairly small and roles can be subdivided reasonably easily with the correct communication channels. Ride comfort and handling are fairly easy to separate and work on in parallel. However it is critical to work with the same maturity of models even when tasks are done in parallel. Version tracking is critical and having releases that are valid for a certain period of time helps to align the team every so often.

Definir procedimentos consistentes para a criação, execução e análise de simulações assegura uma abordagem uniforme em toda a equipe. Isso não apenas promove a eficiência operacional, mas também simplifica a colaboração, já que todos os membros seguem um processo comum. Estabelecer um fluxo de trabalho padrão contribui para a integração tranquila de diferentes fases do projeto, resultando em uma execução mais eficaz das simulações.

Employing vehicle dynamics simulation tools in a collaborative setting is akin to having a collective roadmap. It's similar to envisioning each team member adhering to the same instructions in order to reach the final destination. By implementing a standardized workflow, the team possesses a unified understanding of the path ahead, facilitating smooth and cohesive teamwork. Just as road signs provide direction and prevent diversions on a physical road, clear guidelines assist each individual in comprehending their role and avoiding obstacles in the intricate world of vehicle dynamics simulations. In this manner, the team stays on course and embarks on a seamless journey through the intricacies of vehicle dynamics.

When employing vehicle dynamics simulation tools in a team, it's crucial to set clear objectives, standardize methods, and regularly validate and verify models. Continuous collaboration, thorough documentation, and ongoing training are essential. Integrating real-world data, implementing version control, and performing sensitivity analyses contribute to accurate simulations. Cross-validation, comparing results with experimental data, ensures model precision. Following these practices enables efficient and reliable vehicle dynamics simulations within the team.

As a practicing vehicle dynamics professional, I cannot stress enough on making sure that your models behave true to life. Please make sure that the model braking and acceleration behavior is close by correlating to test data. On top of that, matching the understeer gradient will take you a long way towards making sure that the lateral dynamics/handling are close. Correlating to step/pulse steers will ensure that your transient dynamics are captured. Use a steering/braking robot to improve input consistency.

For any simulations performed it's better to keep a log of versions of their corresponding settings and results. This would help with the need to rerun the simulation later and helps to get a broad understanding of how the performance evolves with change in settings. This is especially useful for time consuming simulations. Spreadsheets are useful tool to keep logs.

Optimal utilization of vehicle dynamics simulation tools in a team involves rigorous validation and calibration of models both before and after simulation runs. This ensures accuracy, reliability, and realism while aligning models with experimental or real-world data. Employing suitable methods like sensitivity analysis, parameter estimation, and optimization for validation and calibration is crucial. Thorough documentation and transparent sharing of results and methodologies among team members enhance collaboration, foster understanding, and maintain a high standard of accuracy and reliability in the application of vehicle dynamics simulation tools within a team setting.

A garantia da confiabilidade em estudos é um alicerce fundamental para a solidez e utilidade dos resultados obtidos. A importância de replicar estudos por uma equipe não reside apenas na confirmação dos resultados, mas também na oportunidade de aprimorar métodos, corrigir possíveis vieses e fortalecer a robustez dos resultados. Todo estudo científico deve possuir a capacidade de ser replicado para garantir a integridade e confiabilidade dos dados apresentados.

When using vehicle dynamics simulation tools in a collaborative environment, it is imperative to validate and calibrate the models. Accuracy, dependability, and realism are guaranteed, and models are brought into line with experimental or empirical data. For efficient validation and calibration, apply appropriate techniques such as sensitivity analysis, parameter estimation, or optimization. Transparency and cooperative progress are encouraged when outcomes and techniques are shared and documented with team members. This best practice increases the overall dependability of the team's work by ensuring that simulation results appropriately represent real-world conditions.

Imagine collaborating with your team on a digital drawing using vehicle dynamics simulation tools. Just like saving different versions of your drawing with version control and backups, it's crucial to ensure that each team member can easily revisit previous versions in case of errors or necessary modifications. This eliminates the fear of losing crucial work and allows everyone to work seamlessly together. In essence, it acts as a safety net for your project, providing peace of mind and the flexibility to make necessary adjustments.

When using vehicle dynamics modeling software in a team, it is imperative to follow best practices such as version control and frequent backups. It guarantees that any modifications to data, models, and outcomes made by you or your team members are systematically tracked, managed, and restored. Accessing files with ease and centrally storing data is made possible by using version control systems such as SVN, Mercurial, or Git. An extra line of defense against data loss is provided by routinely doing safe backups, whether they are stored on an external drive or in the cloud. By doing this, you reduce the possibility of file-related problems, facilitate effective team cooperation, and protect the integrity of your work.

O uso de sistemas de controle de versão permite rastrear alterações nos modelos, facilitando a colaboração e revertendo a versões anteriores quando necessário. Além disso, a realização regular de backups garante a segurança dos dados e preserva o trabalho da equipe em caso de falhas técnicas ou perda de informações.

I think that this is one of the crucial steps to avoid confusion if more people work on the same model. In addition, It is also critical to keep a document which explains the updates and changes in the model with each version and base information document about the model.

In a team environment using vehicle dynamics simulation tools, incorporating version control and backup practices is essential. Utilizing a version control system such as Git allows team members to track changes, collaborate seamlessly, and revert to previous versions if needed. It's important to establish clear guidelines for branching, merging, and resolving conflicts to ensure a smooth version control process. Additionally, implementing regular backups of simulation data and results is crucial to safeguard against potential data loss or corruption. By integrating version control and backup practices into the team's workflow, members can work confidently knowing that their work is protected and easily accessible.

Working with vehicle dynamics simulation tools as a team is comparable to sharing an engaging and captivating story. Just like in a story with unexpected turns, it's crucial to verify and clarify our findings. Reviewing our simulations guarantees precision, while documenting them captures all the vital elements. This enables the team to comprehend and gain insights from the simulations without any ambiguity. In a way, it keeps everyone on track, propelling the team forward as we delve into the complexities of vehicle dynamics.

Vehicle dynamics data needs to be audience appropriate. On a high level a few key numbers are usually enough. For more detailed discussion 2D plots in time and frequency domain are most appropriate. Post processing tools need to be able to trim and smooth raw data quickly and easily. Sometimes plotting the vehicle trajectory and using colour on this trajectory to show information like speed can help visualise the data.

Examine and record simulation findings in detail to ensure that vehicle dynamics tools are used in a collaborative manner. Employ visual aids like as tables, charts, graphs, reports, or presentations to effectively assess and convey results. Discuss and present the findings to the team, asking for input to improve understanding and guide decision-making.

It is important to document in multiple levels of tech, engineering and understandable terms. This allows engineers, planners and developers, as well as interested executives to understand how the results may apply to their particular needs.

Working extensively with Matlab for vehicle dynamics simulations within a team has emphasized the importance of incorporating clear comments and well-documented logic into the code. This practice not only enhances the comprehensibility of the code among team members but also facilitates easier understanding for clients, particularly when modifications are necessary. By reducing ambiguity through comprehensive commenting, we streamline the code comprehension process, ultimately saving time and ensuring efficient collaboration within the team and with external stakeholders.

A simulação de dinâmica veicular tem ganhado muita relevância nas últimas décadas. Paralelamente há evolução dos softwares que facilitam o trabalho e contribuem para a redução de custos, aumento da precisão, melhoria de qualidade e fidelidade dos testes e redução tempo de projetos da área automotiva. Diante de tudo isso, a simulação automotiva tem um universo de possibilidades e ainda mais potencial de crescimento.

Después de todo lo anterior que pude leer, para mí és muy importante " tropicalizar" Los autos dependiendo de a qué país van a cubrir la demanda (su venta) porque muchos países cuentan con climas extremos y otros sus infraestructura pública (calles) están muy dañadas, yo viví problemas "frenos ruidosos" Por vivir aquí en Monterrey dónde las temperaturas hacen que se cristalice las balatas, cosa que en otros lugares del país no sé viven, experimenté suspensiónes con actitudes rebeldes por la temperatura alta que dañaba los tacones, etc..bueno les dejó mí experiencia mucho 🏆💪éxitos ...

For me the interesting part is looking at the data and drawing conclusions but there are many steps before this. I try to automate these steps as much as possible to give myself time to look at the data and also let the information sit in my head for a bit.