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Browse AllThe scope of this SAE performance standard is to provide a simple, practical, and broadly applicable test procedure for appraising luminous Illuminant A reflectance of reflecting safety glazing materials for road vehicles. This SAE performance standard, which provides a simple test procedure widely used in the optics field, may be used to measure the reflectivity which films applied to safety glazing materials for road vehicles may enhance. This test procedure applies to conditions where feasibility, rather than accuracy of measurement, is of prime importance. Measurements can be made outside laboratories in a quality control environment and in similar applications, when glazings, instead of small test specimens, have to be tested.
The rapid evolution of electric vehicles (EVs) necessitates advanced electronic control units (ECUs) for enhanced safety, monitoring, and performance. This study introduces an innovative ECU system designed with a modular architecture, incorporating real-time monitoring, cloud connectivity, and crash sensing. The methodology includes cost-effective design strategies, integrating STM32 controllers, CAN bus systems, and widely available sensors for motor RPM and temperature monitoring. Key findings demonstrate that the proposed ECU system improves data reliability, enhances vehicle safety through crash response systems, and enables predictive maintenance via cloud connectivity. This scalable and affordable ECU is adaptable to a broad range of EV models.
The design, development, and optimization of modern suspension systems is a complex process that encompasses several different engineering domains and disciplines such as vehicle dynamics simulation, tire data analysis, 1D lap-time simulation, 3D CAD design and structural analysis including full 3D collision detection. Typically, overall vehicle design and suspension development are carried out in multiple iterative design loops by several human specialists from diverse engineering departments. Fully automating this iterative design process can minimize manual effort, eliminate routine tasks and human errors, and significantly reduce design time. This desired level of automation can be achieved through digital modeling, automated model generation, and simulation using graph-based design languages and an associated language compiler for translation and execution. Graph-based design languages ensure the digital consistency of data, the digital continuity of processes, and the digital