The urgency of addressing environmental issues cannot be overstated. To achieve a sustainable future, we must adopt this approach that considers the interconnections between social, economic, and environmental factors.
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.
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.
Integrals Power has started production of high-performance Lithium Iron Phosphate (LFP) and Lithium Manganese Iron Phosphate (LMFP) cathode active materials at its pioneering new UK pilot plant.
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.
A new collaboration exemplifies the substantial commercial value that high-value innovators in electrode active materials have been achieving in recent times, as highlighted by Technology Foresights, a proprietary framework developed by GlobalData, a leading data and analytics company.
Industry leader honors iconic legacy as an industrial EV OEM powering productivity across the globe and its bright future as part of the sustainability movement.
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.