TSN-Fueled Automation Amps up the EV Value Chain
Recently, OEMs worldwide have been intensifying efforts to implement major EV (Electric Vehicle) developments and support global decarbonization efforts. Global electric car production nearly doubled between 2021 and 2022, reaching a record-breaking output of 10.3 million units for 2022. Data for 2023 shows potential for further growth, with a total of 6 million new battery and plug-in hybrid EVs delivered during the first half of 2023.
With more than 660,000 new EVs produced in 2022 and an estimate of more than a million new units in 2023, the U.S. represents a region where momentum is unmistakably gathering. Electric car sales in the country, which is the third largest market on a global scale, increased by 55% in 2022. When looking at battery manufacturing capacity, calculations indicate that local plants have been able to produce sufficient batteries to supply more than 1 million passenger vehicles between 2022 and 2023.
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How Advanced Servo Technology Can Take Motion Systems to the Next Level
In the fast-paced landscape of motion system technologies, servos are indispensable components in applications that need to deliver accuracy, precision, and dynamism. With the increased adoption of data-driven smart manufacturing applications, motion control systems are undergoing substantial changes. Shop floors are shifting from older, more basic servo products and basic analog controllers towards more responsive, efficient, and advanced digital solutions that utilize multi-axis servo-motor actuators for precise position, speed, and torque control.
The latest developments in sensing, artificial intelligence (AI), and industrial automation are also expanding the capabilities of motion control devices, offering new opportunities and potential for further advancement.
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How TSN Helps Manufacturers Enable Edge Computing Capabilities
High volumes of data are being generated by smart applications and technologies, providing the foundation to create an in-depth understating of equipment status, processes, and activities. This can be translated into unique, actionable insights to improve productivity, performance, and efficiency.
Large datasets are another raw material required by competitive enterprises. However, having a solid, reliable infrastructure to share process data, information, and knowledge is equally important to succeed. Edge computing is also instrumental to creating frameworks capable of quickly and securely evaluating data.
This technology conducts analytics for real-time decision-making at the periphery of the network, close to where data is being created, while also supporting knowledge generation by filtering what should be sent to the Cloud or other higher-level systems. As a result, the edge can reduce latency and network costs as well as optimize bandwidth usage and increase speed, security, and scalability. The edge can also achieve enhanced transparency, flexibility, and availability.
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To learn more about the CLPA and its network technologies, such as CC-Link IE TSN, please visit: https://cc-link.org/en/.
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