Electromagnetic Compatibility

Welcome to Electromagnetic Compatibility LAB

Overview of Electromagnetic Compatibility
  • EMC Mechanism 이미지

    EMC Mechanism

  • EMI Classification 이미지

    EMI Classification

  • EMI Classification 이미지

    EMC and Noise Coupling Mechanisms

The electromagnetic compatibility (EMC) research requires various research field to evaluate the interoperability of electronic devices. It concerns the ability of electronic devices, equipment, and systems to function properly in their electromagnetic environment without causing electromagnetic interference (EMI) to other devices or being affected by such interference. Not only must the devices be immune to external interference, but they also need to be evaluated for their susceptibility to external electromagnetic disturbances.

This research helps minimize the risks of malfunctions, damages, or performance degradation caused by interference. Various techniques such as shielding and filtering are being studied to address and analyze EMC issues. Overall, EMC plays a crucial role in maintaining the performance of electronic devices in today's increasingly complex and interconnected technological environment.

EMF Human Exposure Analysis
  • EMF Evaluation Method from EV Wireless Charging System 이미지

    EMF Evaluation Method from EV Wireless Charging System

  • EMF Measurement Setup and Evaluation Method Generated from Mobile Devices 이미지

    EMF Measurement Setup and Evaluation Method Generated from Mobile Devices

We live with various electromagnetic source that generates electromagnetic fields (EMF). These electromagnetic fields are associated with a variety of technologies, including wireless communication, power supply, and home appliances. Electromagnetic waves are utilized in various frequency bands, ranging from kHz frequencies used in applications like wireless charging for electric vehicles to GHz frequencies used in communication systems for mobile devices. However, concerns about the effects of electromagnetic waves on the human body have been increasing in recent years, particularly due to the rapid advancement of wireless communication technology, which has further emphasized these concerns.

The EMF electromagnetic wave characteristics appear differently depending on the frequency band, which requires an analysis of the effect of the EMF on the human body. Moreover, there exist EMF exposure standards for each frequency band. In the low-frequency range, such as that used in electric vehicles, electromagnetic waves are primarily associated with power supply systems. On the other hand, radio-frequency (RF)-range electromagnetic waves are used in wireless communication, including wireless internet, and mobile devices. Consequently, international safety guidelines and regulations have been established, and regulations and policies are being implemented to maintain safe exposure levels. Current density (J), E-Field, B-Field, Power Density, etc. are divided into frequency bands, and the separation distance and measurement setups are different for each application. Therefore, measurements and simulations considering the actual system environment, measurement environment, and frequency characteristics are necessary.

EMC Noise Analysis
  • Electromagnetic Inteference Measurement and Analysis 이미지

    Electromagnetic Inteference Measurement and Analysis

  • Research of Electromangetic Pulse (EMP) 이미지

    Research of Electromangetic Pulse (EMP)

The electromagnetic compatibility (EMC) problems can be broadly divided into two categories: Electromagnetic Interference (EMI) issues that cause interference to the operation of other devices by generating electromagnetic waves externally, and Electromagnetic Susceptibility (EMS) issues that cause malfunctions due to external electromagnetic waves. Both of these issues need to be analyzed and addressed to ensure the proper operation and prevent accidents of electronic devices.

Research is being conducted to predict EMC problems in advance, identify noise sources, and analyze their correlation. Various methods for measuring noise source impedance and analyzing the relationship with noise are being studied. In addition to conducted emission noise measurements that propagate along conductors, research on measuring, analyzing, and mitigating radiated emission noise has been actively carried out due to the commercialization and application of recent wireless power transfer technologies in the mobility industry.

Furthermore, EMC issues are deeply associated not only with the electronics and mobility industries but also with security concerns. With the advancement of electrical engineering, electromagnetic waves can be used as weapons rather than just being blocked or controlled. One notable example is the issue of Electromagnetic Pulse (EMP), which refers to high-power electromagnetic pulses. Currently, various studies are being conducted to protect electronic devices or equipment in facilities from external high-power electromagnetic waves, including noise path analysis.

EMC Component Measurement and Modeling
  • MLCC and EMI Choke Impedance Measurement and Modeling 이미지

    MLCC and EMI Choke Impedance Measurement and Modeling

  • 3D modeling and analysis of EMI filter and MLCC 이미지

    3D modeling and analysis of EMI filter and MLCC

Passive and active components such as a capacitor, MOSFET, and Electromagnetic Interference (EMI) filter play an important role in electronic devices for satisfying Electromagnetic Compatibility (EMC), and tens to tens of thousands of components are used depending on the system. EMC components inevitably include parasitic components such as equivalent series inductance (ESL) and equivalent series resistance(ESR), However, the parasitic components are difficult to predict accurately and greatly affect system performance.

During the design process of electronic devices, the circuit and electromagnetic analysis allow engineers to analyze and predict the EMC and system performance. This analysis can identify potential problems and optimize performance. For accurate prediction of EMC performance, precise measurement-based EMC component modeling is required. If an inaccurate model is reflected, prediction accuracy may decrease, resulting in an over-fitting or under-fitting design. Therefore, it is necessary to measure and model EMC components accurately.

EMI sources and noise paths are predicted and analyzed through simulation before actual product implementation. To improve the correlation between measurement and simulation, research on modeling EMC components in 3D analysis and equivalent circuits has been carried out. Research on dynamic modeling that can reflect the characteristics of components depending on the circuit operation condition is being conducted. In addition, the research on predicting noise coupling paths and reducing EMI noise using the EMC components model is being studied.

AI-based EMC Design and Analysis
  • AI-based EMC Design for E-Vehicle 이미지

    AI-based EMC Design for E-Vehicle

  • Human Exposure Prediction based on AI and GIS Data 이미지

    Human Exposure Prediction based on AI and GIS Data

Artificial Intelligence (AI)-based design and analysis of Electromagnetic Compatibility (EMC) provides several important benefits. Firstly, it enhances design optimization by utilizing machine learning algorithms to analyze data, identify potential EMC issues, and propose optimized solutions. This leads to improved EMC performance, reduced electromagnetic interference (EMI), and enhanced system reliability. Secondly, AI-based analysis enables early detection of EMC problems during the design phase, allowing for proactive modifications and mitigation strategies before costly physical prototypes are built. Additionally, it improves speed and efficiency by automating data analysis, simulations, and optimization, thereby reducing the time required to achieve EMC compliance and shortening the product development cycle.

AI-based analysis reduces costs by replacing expensive physical testing with virtual simulations and predictive modeling, preventing unnecessary design iterations, rework, and physical prototypes. Overall, AI-based design and analysis of EMC offer improved optimization, early issue detection, speed, efficiency, handling of complex interactions, predictive maintenance, and cost savings, leading to better EMC performance and reliability in electronic systems.