¿Cuáles son las mejores prácticas para establecer líneas de base de rendimiento para sistemas automotrices?

Performance metrics are crucial for automotive system baselines. Goals and key performance indicators like as fuel efficiency, emissions, acceleration, and reliability must be established. Performance against industry leaders and regulatory compliance matters. Real-world testing, simulation, and modeling provide thorough evaluations, and rigorous testing methods cover various scenarios. User experience data analysis improves the baseline. Monitoring and collaboration facilitate long-term improvement, and precise documentation is necessary for reference and compliance. Assessing automotive system performance starts with meaningful and accurate performance indicators that meet system objectives.

Establishing baselines in automotive systems: 1. Definition of Objectives: Clarity in performance goals for the system. 2. Data Collection: Obtain data representative of current performance. 3. Benchmarking: Compare with industry standards and competitors. 4. Technology Assessment: Analyze latest technologies for improvements. 5. Rigorous Testing: Evaluate stability and efficacy in diverse conditions. 6. Stakeholders Involvement: Consult all interested parties. 7. Establish Metrics: Define key metrics to measure performance. 8. Continuous Monitoring: Implement monitoring systems for constant adjustments.

In this entire process the voice of the customer should be front and center. Metrics need to be derived from Reviewing existing products, benchmarking competitor products and studying regulations as a starting point. Products designed with these metrics only will tick boxes, fulfill regulatory requirements and go beyond what the market offers perhaps, but where’s the customer delight? Going above and beyond what a customer expects is where huge opportunities lie. Capture the aspirations of the customer - the “spoken” and “unspoken” voice of the customer - many methods exist to do this. Fulfilling customer aspirations with product performance should be the target of such a process. Such a product will be a hit for the company!

Finding follow up processes is the decisive factor of a suitable KPI. The requirements of the follow up process determine what is needed switching from KPI to objective key results might be one solution to achieve better results.

These metrics, such as acceleration, braking efficiency, fuel consumption, and emissions levels, serve as benchmarks. Rigorous testing assesses how vehicles perform under diverse conditions, ensuring adherence to industry standards. By precisely measuring these metrics, engineers gain insights into system efficiency and can identify areas for improvement. This systematic approach guarantees that automotive systems meet predetermined performance criteria, fostering reliability and customer satisfaction.

Automotive System involves conducting various performance tests to understand the system behaviour under different conditions, environment, and other test methods like load and stress testing, Endurance and reliability, robustness as well as integration with subsystem and modules. It’s crucial to combine these methods and adapt it as per requirements is very important.

To establish performance baselines for automotive systems, a comprehensive approach is crucial, considering factors such as objectives, benchmarking, regulatory compliance, real-world testing, simulation, data analysis, robust testing protocols, user experience, long-term monitoring, collaboration, and documentation. Manufacturers must choose performance testing methods that align with system requirements and metrics. This can include laboratory and field testing, simulation, or modeling. The selected methods should yield reliable and realistic results, covering a range of operating conditions. A thorough integration of these best practices ensures the development of high-quality, reliable vehicles with well-defined performance baselines.

A well established automotive company has a long standing history of its products. Which means, a well established database of rigorous testings of various products at different phases of its development cycle. Every automotive company has their favourite vehicle in different segments which has contributed significantly in the company’s success and also been a show stopper at some point. For simulations, CAE/FEA engineer mostly aims those vehicles as their baseline targets to develop future products and compare them in different parameters.

In my experience, selecting appropriate performance testing methods requires careful consideration of the system's characteristics and performance metrics. For instance, in a software development project, we opted for simulation testing to emulate real-world scenarios and ensure the application's responsiveness under various conditions. I agree that the chosen methods should yield reliable and realistic results, but it's also important to account for the scalability and adaptability of these methods to evolving system requirements, especially in dynamic environments.

Establishing a performance baseline for automotive systems is crucial for ensuring reliability and efficiency. This involves employing various performance testing methods. Dynamometer testing assesses engine performance, while emissions testing ensures environmental compliance. Acceleration, brake, and handling tests evaluate dynamic capabilities. Durability testing simulates prolonged stress, and software assessments examine electronic control units. Integration of these methods provides a comprehensive baseline, enabling engineers to optimize performance and address potential issues, ensuring vehicles meet high standards of safety and functionality.

Establishing performance criteria for automotive systems involves a methodical approach aimed at ensuring the reliability, safety, and efficiency of vehicles. Key practices include defining clear objectives and KPIs, benchmarking against industry leaders, adhering to regulatory standards, conducting real-world testing and simulations, analyzing data, implementing robust testing protocols, considering user experience, setting up long-term performance monitoring, fostering collaboration among teams, and maintaining thorough documentation.

Collection of data is very important but it is also important to store that data in a proper format and also to know how to read that data correctly. Sometimes we have all the data we need but we might not know how to get 100% out of that data so it is important to know how to read and process that data.

Choosing the right method to analyze the data is really important. Every automotive company generally has their own set of standards and templates for data comparison. Considering FEA datasets, I’ve worked for companies who uses Hyper-graphs to do the data comparisons between the baseline and proposal designs and I’ve also worked for companies who uses nCode/Matlabs for the same data comparisons. But, I’ve even used a simple tables/graphs/charts to present the same results to a senior management. It all comes down to, what type of results you’re trying to analyze and choose the most affective way which can help the targeted audience to understand it easily.

Performance baselines aligned with organizational goals help ensure that the system's performance aligns with business objectives. This alignment is essential for delivering value and meeting stakeholder expectations, ultimately contributing to the overall success of the organization.

In my experience we should consider these things also 1. Instrumentation and Data Collection: Utilize sensors, onboard diagnostics, and other monitoring systems to capture relevant performance metrics. 2. Consider Normal and Extreme Conditions: Assess performance under normal operating conditions as well as extreme conditions to understand the system's capabilities and limitations. 3.Real-world Testing Scenarios: Include a variety of conditions, such as different road surfaces, traffic scenarios, and environmental factors. 4. Include Software and Control Systems: Assess not only hardware components but also software and control systems.