Induction Heating Control Method for Cooking Appliance
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Solution Overview
Problem
Induction heating systems face challenges in accurately estimating the temperature of cooking utensils and food contents, particularly in maintaining constant heating conditions, as existing methods fail to provide quantitative measurements.
Innovation Solution
A control method that estimates the temperature of pots, food thermodynamics, and induction coil temperatures using measured power absorption and temperature information, employing a mathematical model tuned by algorithms like the Extended Kalman Filter to compensate for noise and uncertainties, ensuring reliable temperature monitoring and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing temperature estimation methods are used, then the system can operate, but the temperature estimation accuracy is insufficient for quantitative measurement
Solution Approach 1:
The patent implements a feedback mechanism where the estimated temperature is continuously compared with actual temperature measurements, and the model parameters are adjusted based on this feedback to improve estimation accuracy over time
Solution Approach 2:
The patent replaces direct physical temperature measurement mechanisms with an estimation system based on electrical measurements and mathematical modeling, substituting mechanical/physical sensing with computational approaches
2Reliability
If multiple temperature measurements are taken to improve estimation reliability, then the reliability improves, but the device complexity and measurement system becomes more complex
Solution Approach 1:
The patent makes existing temperature sensors serve multiple functions: they not only monitor their local temperature but also provide data for estimating temperatures at other locations through the mathematical model, reducing the need for additional sensors
Solution Approach 2:
The patent introduces a mathematical model as an intermediary that connects limited temperature measurements with the temperatures of interest, allowing estimation of pot and food temperatures from coil and surface temperature measurements
3Ease of operation
If the system monitors multiple parameters (power, temperature, mass) to improve cooking control, then the cooking phase control improves, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary calculations by pre-establishing mathematical models and relationships between parameters, so that during operation only simple parameter updates and comparisons are needed rather than complex real-time computations
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
The method effectively monitors and controls cooking temperatures and phases, prevents coil damage, and compensates for noise factors, improving induction cooktop performance by providing accurate temperature and mass estimations.
Implementation Method 1
an induction heating system of a cooktop provided with an induction coil
Implementation Method 2
the induction heating systems it is almost impossible to make a distinction between the heating element, on one side, and the cooking utensil, on the other side, since the cooking utensil itself is an active part of the heating process
Implementation Method 3
the induction heating systems it is almost impossible to make a distinction between the heating element, on one side, and the cooking utensil, on the other side, since the cooking utensil itself is an active part of the heating process
Data Source
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AI summary
A method for controlling an inductive heating system of a cooking hob provided with an induction coil, particularly for controlling it in connection with a predetermined working condition, comprises assessing the value of power absorbed by the system, measuring a temperature indicative of the thermal status of at least one element of the heating system, feeding the assessed power value to a computing model capable of providing an estimated value of temperature, comparing the measured temperature with the estimated temperature and tuning the computing model on the basis of such comparison.