Induction heating type cooktop and operating method thereof
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Solution Overview
Problem
Induction heating cooktops face challenges in accurately identifying the characteristics of cooking containers, leading to incorrect notifications about food boiling due to variations in container materials and thicknesses.
Innovation Solution
The cooktop stores output values for each material characteristic in a predetermined frequency range and uses regression-formatted material classification data to identify the cooking container's material by calculating an error sum, improving accuracy and reducing memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the cooktop uses temperature sensing to predict food temperature, then it can provide boiling detection function, but it causes malfunction due to variations in cooking container material and thickness
Solution Approach 1:
The system changes the measurement parameters from simple temperature sensing to multi-frequency impedance measurement. By measuring impedance at multiple frequencies (e.g., fundamental frequency and harmonic frequencies) and analyzing the relationship between these parameters, the system can identify cooking container characteristics and compensate for material/thickness variations, thereby improving detection reliability while maintaining the boiling detection function.
2Measurement precision
If the cooktop stores output values for each material characteristic in a predetermined frequency range, then it improves material classification accuracy, but it increases memory occupation
Solution Approach 1:
The system extracts only the essential features needed for material classification from the full frequency range data. Instead of storing all output values across the entire predetermined frequency range, it identifies and stores only the critical frequency points or derived parameters that capture the essential material characteristics. This extraction approach maintains classification accuracy while significantly reducing the memory space required to store the reference data.
3Measurement precision
If the cooktop compares output values at multiple frequencies, then it improves material recognition accuracy, but it increases data processing complexity
Solution Approach 1:
The system performs preliminary processing of the multi-frequency data to simplify subsequent comparisons. Before comparing output values across frequencies, it pre-calculates derived parameters such as impedance ratios, phase differences, or fitted coefficients that capture the essential material characteristics. This preliminary transformation reduces the dimensionality of the data and simplifies the comparison algorithm, thereby reducing processing complexity while maintaining recognition accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances the accuracy of material classification and recognition, reducing data dispersion and memory occupation, while allowing the cooktop to differentiate between various cooking containers effectively.
Implementation Method 1
In the induction heating method, when high-frequency power having a predetermined intensity is applied to a coil, eddy current is generated in the object to be heated using magnetic fields generated around the coil so that the object to be heated is heated.
Implementation Method 2
when high-frequency power having a predetermined intensity is applied to a coil, eddy current is generated in the object to be heated using magnetic fields generated around the coil
Data Source
AI summary
A cooktop includes a memory that stores material classification data; a measurement unit that acquires output values for each frequency in a search frequency range; and a material determination unit that compares the output values with the material classification data so as to obtain the material information of the cooking container.


