In the automotive sector, rigorous vehicle testing ensures safety and performance standards are met, straining testing labs. Efficient lab and asset management are crucial for maintaining quality and meeting demands.
Powertrain testing in EV development is essential for optimizing performance and efficiency. Engineers fine-tune the system to achieve better acceleration, range, and vehicle dynamics. Efficiency evaluations help reduce energy loss and improve regenerative braking, increasing range and reducing environmental impact. Safety and reliability, especially for high-voltage components and battery safety, are top priorities in powertrain testing.
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The transition from ICE vehicles to EVs is driven by several factors, including environmental concerns, cost, time, and evolving consumer preferences. An EV testbed provides a controlled environment for evaluating electric powertrains, motors, battery systems, and other crucial components.
Model-based development approach allows engineers to design, build and validate the software code in a fully virtual environment before deploying or integrating it with the live hardware components. In essence, it is an advanced level of development leveraging simulation.
Product Validation Management (PVM) is an approach that employs verification and validation of requirement analysis, function design, and software development in the engineering process. This model is heavily focused on testing and iterative development and allows organizations to easily manage deadlines and costs.
Since creating safe, effective, and economical mobility concepts is the primary objective of the automobile business, a lot of novel ideas are being tested in simulated or actual testing scenarios.
It’s interesting to note that using advanced automation and sensors to guide the testing process does not automatically qualify as smart testing. The key to making smart testing smart is the “data” that is at its core. To see how reliable data contributes to accurate test results, explore the article.
As the world around us becomes embroiled in VUCA, organizations and industries globally look for ways to improve resilience and responsiveness in their business. The rise of technologies such as AI and the revolutionizing Industry 4.0 has been a response to changing market demands and the increasing need to drive cost effectiveness while influencing productivity and profitability.
The rise of Industry 4.0 has ushered in the era of smart manufacturing, an age defined by elevated efficiency and less waste. New technologies are pushing organizations to drive the digital transformation of the manufacturing space. As such, they’re supporting Industry 4.0 to drive productivity, efficiency, and competitiveness while reducing and eliminating waste.
smart test bed has many components, each of which needs to be completely and seamlessly interconnected for great test results. A test lab, for example, will have test beds and test equipment. They will then need automation systems to automate manual processes. There is a simulation system that needs to be added to the mix for simulation automation.