Give an example of a time when you analyzed data from simulations and real-world testing to identify system performance issues and propose improvements.

During my previous internship at a automotive company, I had the opportunity to work on a project that involved analyzing data from simulations and real-world testing to identify system performance issues and propose improvements. We were working on a vehicle suspension system and had collected data from both simulated tests in software like MATLAB and real-world tests using diagnostic equipment. After analyzing the data, we found that the suspension system was not performing optimally in certain driving conditions, leading to discomfort for the occupants. We proposed improvements to the spring rates and damping coefficients to address these issues. We then conducted additional simulations and testing to validate the proposed changes. The final results showed a significant improvement in the ride comfort and handling of the vehicle. This experience taught me the importance of using both simulated and real-world data to accurately analyze system performance and make informed recommendations for improvement.

During my previous internship at a automotive company, I had the opportunity to work as part of a team on a project focused on analyzing data from simulations and real-world testing to identify system performance issues and propose improvements. My role involved collecting and organizing the data from simulated tests conducted in MATLAB and real-world tests performed using diagnostic equipment. I used engineering software like MATLAB and Simulink to analyze the data and compare the performance of different components and parameters. Through this analysis, we identified a significant issue with the vehicle's braking system. The data showed that the braking distance was longer than expected, which could potentially lead to safety concerns. I collaborated with senior engineers to propose improvements to the braking system, including adjusting the brake force distribution and optimizing the brake caliper design. We conducted additional simulations and real-world tests to validate the proposed changes. The results showed a significant reduction in the braking distance and an improvement in overall braking performance. This experience highlighted the importance of using both simulated and real-world data to identify and address system performance issues.

During my previous internship at an automotive research institute, I was part of a multidisciplinary team that conducted an extensive analysis of vehicle propulsion systems to identify performance issues and propose improvements. The project involved analyzing data from both simulations and real-world testing, utilizing various engineering software such as MATLAB, Simulink, and CAD tools. My role was to focus on the electrical and software components of the propulsion system. I conducted simulations using MATLAB and Simulink to model the electrical performance and analyze the system behavior under different operating conditions. I also collaborated with the mechanical engineering team to integrate the electrical and mechanical systems and analyze their interactions. Through this analysis, we identified a bottleneck in the software control algorithm that was limiting the system's efficiency and responsiveness. I proposed a new control algorithm that optimized the power distribution and prioritized energy conservation during regenerative braking. We tested the proposed algorithm using real-world testing equipment and collected data to compare its performance against the original algorithm. The results showed a significant improvement in system efficiency and overall performance. This experience showcased my technical aptitude with automotive systems, proficiency in engineering software, and analytical problem-solving skills in a real-world context.