Gallium-Doped Single Crystal Resistivity Control During CZ Growth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The continuous volatilization of gallium during the Czochralski process in gallium-doped single crystals leads to a continuous increase in resistivity, causing significant fluctuations and affecting the stability of the single crystal resistivity, which is not effectively addressed by current methods.
Innovation Solution
A method and system for controlling resistivity in gallium-doped single crystals by setting initial reference values, using real-time sensors, and implementing over-limit commands and prediction coefficients to adjust gallium doping amounts dynamically, ensuring resistivity fluctuations are maintained within 1.0%.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If gallium-doped single crystal is used to avoid boron-oxygen complex degradation, then battery efficiency is improved, but resistivity fluctuation increases due to gallium volatilization
Solution Approach 1:
The patent implements real-time feedback control by measuring resistivity during the Czochralski process and dynamically adjusting gallium doping parameters. The system continuously monitors resistivity values and feeds this information back to control the doping process, compensating for gallium volatilization and maintaining stable resistivity throughout crystal growth.
Solution Approach 2:
The patent dynamically changes doping parameters based on real-time resistivity measurements. By adjusting gallium doping concentration and rate during the growth process, the system compensates for gallium loss due to volatilization, maintaining optimal resistivity values despite changing conditions.
2Stability of the object's composition
If real-time resistivity measurement and control is implemented, then resistivity stability is improved, but system complexity increases
Solution Approach 1:
The system performs self-adjustment by automatically modifying doping parameters based on real-time resistivity feedback. The control system autonomously compensates for gallium volatilization without requiring external intervention, maintaining resistivity stability through self-service control mechanisms.
Solution Approach 2:
Real-time feedback loops continuously monitor resistivity and automatically adjust doping parameters, creating a closed-loop control system that maintains stability without complex manual intervention.
3Stability of the object's composition
If gallium doping amount is increased to compensate for volatilization, then resistivity stability is improved, but manufacturing precision requirements increase
Solution Approach 1:
Real-time resistivity measurements provide continuous feedback on actual doping effectiveness, allowing the system to precisely adjust gallium doping rates. This feedback mechanism compensates for volatilization losses with high precision, maintaining target resistivity values throughout the growth process.
Solution Approach 2:
The doping process transitions from static predetermined amounts to dynamic real-time adjustment. The system continuously adapts doping parameters based on actual conditions, allowing precise compensation for volatilization without requiring excessive initial doping margins.
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 controls resistivity fluctuations in gallium-doped single crystals, maintaining stability and reducing the impact of gallium volatilization losses, thereby enhancing the consistency and efficiency of photovoltaic power generation.
Implementation Method 1
resistivity measurement values of the gallium-doped single crystal are obtained in real time using a sensor
Implementation Method 2
gallium at the edge of the crystallization surface easily volatilizes
Data Source
AI summary
The present disclosure provides a method and system for controlling resistivity based on gallium content in a gallium-doped single crystal, and a device. The method includes: an initial gallium doping reference value is set, resistivity measurement values are obtained in real time; a first over-limit command and a second over-limit command are sent when one of the resistivity measurement values satisfies a preset condition; a target prediction value is calculated based on the resistivity measurement values; online analysis is performed to generate a reference value increment and a fluctuation adjustment instruction; and a gallium doping amount reference value is modified in real time based on the initial gallium doping reference value, the reference value increment, the first over-limit command, the second over-limit command, and the fluctuation adjustment instruction, and a resistivity fluctuation is controlled based on a modified gallium doping amount reference value.