Articles Tagged with ''electric vehicle (EV)''

In a world grappling with climate change, the push for sustainability has made electric vehicles (EVs) a popular choice. Some states are even phasing out gas engine vehicle sales by 2030/2035. However, considering the total impact of producing and operating EVs reveals a more complex picture.

Justin Novak talks about what’s next for the society, the future (and past) of electric vehicles, and how to do well at your next CMSC 5K.

In battery cell production, maintaining high quality and reducing material waste is crucial. Digital image processing and machine vision solutions enable reliable defect detection, ensuring the production of safe, high-quality battery cells for electric mobility.

In the 20th century, internal combustion engines drove progress, but now automotive manufacturers are rapidly transitioning to EV production, requiring new metrology approaches.

Lithium-ion (Li-ion) batteries power many of our daily devices. However, manufacturing them requires scarce base metals and has supply and sustainability challenges. Battery recycling is vital for the supply chain. This article discusses using analytical technologies to maximize Li-ion materials and optimize production.

In the competitive electric vehicle (EV) industry, perfecting the battery tray's aluminum weld design is critical. It houses essential components and safety ensuring precise integration is crucial to prevent potential hazards such as torsion-induced bending of both the battery tray and the vehicle body due to thermal expansion of battery cells.

For lithium-ion traction batteries, leak detection is imperative for battery performance, longevity and safety, especially the prevention of fires.

The transition from ICE to electric powertrain requires a complete review of the approach to quality and process controls. Some existing checks for ICE find even more extensive applications for the EV sector.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

Model-Based Definition (MBD) offers a modernized approach to implementing GD&T into electric motor production using 3D models instead of traditional 2D drawings.