HomeElectronics NewsMLCC for AI and Automotive Systems

MLCC for AI and Automotive Systems

A capacitor design increases capacitance and reduces resistance, helping reduce component count in 48-V power systems.

The actual appearance of the product differs from the image.
TDK logo is not stamped on the actual product.
The actual appearance of the product differs from the image. TDK logo is not stamped on the actual product.

TDK Corporation has expanded its CN series of low-resistance soft-termination surface-mount device (SMD) multilayer ceramic capacitors (MLCCs) with a new 100-V, X7R-rated component that offers 10 μF capacitance in a 3225 package measuring 3.2 × 2.5 × 2.5 mm. TDK says this is the industry-leading rated capacitance for a component of this size. Mass production is scheduled to begin in September 2026.

The new MLCC is designed for smoothing and decoupling power lines in 48-V systems used in artificial intelligence (AI) servers, humanoid robots, electrified vehicles (xEVs), and industrial equipment. The CN series uses TDK’s proprietary terminal structure to provide soft termination while maintaining low resistance comparable to standard terminal MLCCs.

The use of 48-V power systems is increasing in these applications as they can reduce power loss and the weight of wiring harnesses. This has increased the need for 100-V MLCCs with higher capacitance. At the same time, soft-termination MLCCs are being used to improve reliability by reducing the risk of cracks caused by external mechanical stress. However, the resin layer used in conventional soft-termination designs can increase equivalent series resistance (ESR).

TDK has addressed this issue by optimising the resin electrode structure, material selection, and product design. The new CN series components offer twice the capacitance of TDK’s conventional MLCCs of the same size while significantly reducing ESR.

The higher capacitance can reduce the number of MLCCs required on a board. This can lower component count and mounting area, helping manufacturers reduce the size of equipment while improving reliability in 48-V power lines.

The CN series also uses resin electrodes and supports high voltage and large capacitance to improve application reliability. For automotive applications, the components have been qualified according to the AEC-Q200 reliability standard.

The company plans to expand the CN series further to address different requirements across AI servers, robotics, automotive systems, and industrial equipment.

Click here for the original announcement.

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Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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