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.
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In order to assure a safer future for the next generation, governments around the world are being forced to enact stricter rules due to growing worries about climate change, gender diversity, wage equity, corruption, and compliance. The automobile business is among the industries that has the highest competition in this area.
The data stream involves hundreds or thousands of contributing elements from a product launch testing perspective. Manual compilation of this data is a Herculean task that results in overheads and ultimately reduces the time for core, productive jobs. When a PVM approach is followed, the otherwise arduous tasks are taken care of, allowing engineers to invest time in handling more critical responsibilities pertaining to product design validation.
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Product Validation Management sets the foundation of digital transformation for automotive companies. It helps in the digitization of the product design process, including conceptualization, design, and validation, before the vehicle actually gets into the production process
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The complexity of data and operations in the R&D ecosystem, automotive organizations have to enable their teams with a comprehensive platform that meets the need of this domain. R&D teams need a platform that is specifically designed for engineering data and provides multiple language support for analysis processing.
TLMS is designed to address this problem by enabling digital simulation in real-world scenarios. By enabling micro-level test execution, it can improve asset management including maintenance and calibration. This elevates product testing accuracy and avoids vehicle recalls.
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EV startups, EV testing becomes more challenging since testing and validation incur high capital costs. Keeping track of frequently evolving standards, compliance norms and processes become Herculean tasks for time, resource, and cash-crunched startups.
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The V-model is emerging as one of the widely used development processes in the automotive industry. This model splits the development process into two parts – Verification and Validation.
The advantage of early adoption of connected and digital experiences inside the car is that EVs are still a relatively new product on the mass market. Because of this, EV producers can offer customers better experiences to draw them in.
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EV development is not a very seamless activity that can be achieved simply by copying what traditional vehicle manufacturers have been doing for decades. It poses a new set of challenges, especially on the validation front, which needs to be addressed if the true potential of EVs as a mass-market proposition is to be realized
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