CN102565134A - Forward bias noise detection method in solar cell detection system - Google Patents
Forward bias noise detection method in solar cell detection system Download PDFInfo
- Publication number
- CN102565134A CN102565134A CN2011104404782A CN201110440478A CN102565134A CN 102565134 A CN102565134 A CN 102565134A CN 2011104404782 A CN2011104404782 A CN 2011104404782A CN 201110440478 A CN201110440478 A CN 201110440478A CN 102565134 A CN102565134 A CN 102565134A
- Authority
- CN
- China
- Prior art keywords
- solar cell
- noise
- curve
- detection system
- positively biased
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention provides a forward bias noise detection method in a solar cell detection system, which comprises main steps of step A: enabling a solar cell to be in a forward bias condition state; step B: obtaining short circuit current and open circuit voltage of the solar cell under an illumination condition; step C: obtaining starting voltage of the solar cell under a non-illumination condition; and step D: detecting noise signals of the solar cell. The forward bias noise detection method in the solar cell detection system can detect impurities, defect positions and reliability parameters of the solar cell by analyzing forward bias noise of the solar cell, and the detection precision is higher than an image detection method.
Description
Technical field
The present invention relates to the solar cell detection system, particularly, relate to the positively biased noise detecting method in the solar cell detection system.
Background technology
There is abundant solar energy resources in China, and solar energy power generating has obtained widespread use in a lot of fields such as communication, traffic, oil, the electrification of the countryside, the product for civilian use.The quality of assurance solar photovoltaic generation system not only depends on the design of system, also depends on the quality of each parts product of construction system.Photovoltaic module is as the critical piece of solar photovoltaic generation system, and the quality of its product is very important.For guaranteeing the quality of this product, country has formulated relevant examination criteria, and in the production run of enterprise, the accuracy of its parameter detecting is directly to embody the key factor of assembly quality, so the detection link when component package is dispatched from the factory is particularly important.Mostly checkout equipment of the prior art is to detect through the IMAQ identification mode, and its accuracy of detection is not high.
Summary of the invention
To defective of the prior art, the purpose of this invention is to provide the positively biased noise detecting method in a kind of solar cell detection system.
According to an aspect of the present invention, the positively biased noise detecting method in a kind of solar cell detection system is provided, comprises the steps:
Steps A: place the positively biased testing circuit to make solar cell be in the forward biased condition state in solar cell;
Step B: use sunshine simulation illuminating lamp irradiation solar cell, obtain short-circuit current and the open-circuit voltage size of solar cell under illumination condition;
Step C: utilize shading box to obtain the cut-in voltage size of solar cell under no optical condition;
Step D: the noise signal that detects solar cell;
Step e 0:, then extract the temperature variant curve of solar cell noise power spectral density, and confirm the impurity in the solar cell according to the temperature variant curve of said solar cell noise power spectral density if detect the G-R noise; If do not detect the G-R noise, then next execution in step E and step F;
Step e:, then confirm the Sv-V curve and the S of solar cell according to noise signal if do not detect the G-R noise
I-I curve, with the noise maximum point in the said Sv-V curve at said S
ICarry out the dependability parameter of match in the-I curve with the output solar cell;
Step F: measure the particular location of confirming defects of solar battery through homogeneity,
Wherein, said step D, step e 0, step e and step F are carried out under no optical condition
Preferably, said step B comprises the steps:
Step B1: measure the voltage at the pull-up resistor two ends of connecting, utilize capacitance to obtain the noise signal of the solar cell of interchange then with solar cell.
Preferably, said step B comprises the steps:
Step B10: measure the voltage at solar cell two ends, obtain the noise signal of solar cell.
The present invention can detect impurity, defective locations and the dependability parameter of solar battery sheet through the positively biased noise of analyzing solar cell, and accuracy of detection is higher than image detecting method.
Description of drawings
Through reading the detailed description of non-limiting example being done with reference to following accompanying drawing, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 illustrates according to the positively biased testing circuit principle schematic among the embodiment of the positively biased noise detecting method in the solar cell detection system of the present invention.
Embodiment
Positively biased noise detecting method according in the solar cell detection system provided by the invention comprises step: steps A: place the positively biased testing circuit to make solar cell be in the forward biased condition state in solar cell; Step B: use sunshine simulation illuminating lamp irradiation solar cell, obtain short-circuit current and the open-circuit voltage size of solar cell under illumination condition; Step C: utilize shading box to obtain the cut-in voltage size of solar cell under no optical condition; Step D: the noise signal that detects solar cell; Step e 0:, then extract the temperature variant curve of solar cell noise power spectral density, and confirm the impurity in the solar cell according to the temperature variant curve of said solar cell noise power spectral density if detect the G-R noise; If do not detect the G-R noise, then next execution in step E and step F; Step e:, then confirm the Sv-V curve and the S of solar cell according to noise signal if do not detect the G-R noise
I-I curve, with the noise maximum point in the said Sv-V curve at said S
ICarry out the dependability parameter of match in the-I curve with the output solar cell; Step F: measure the particular location of confirming defects of solar battery through homogeneity.Wherein, said step D, step e 0, step e and step F are carried out under no optical condition.
Preferably, said step B comprises step: step B1: measure the voltage at the pull-up resistor two ends of connecting with solar cell, utilize capacitance to obtain the noise signal of the solar cell of interchange then.Preferably, said step B comprises step: step B10: measure the voltage at solar cell two ends, obtain the noise signal of solar cell.Wherein, said positively biased testing circuit is preferably as shown in Figure 1, and said solar cell 1 and pull-up resistor 2 are connected in the said positively biased testing circuit.
More than specific embodiment of the present invention is described.It will be appreciated that the present invention is not limited to above-mentioned specific implementations, those skilled in the art can make various distortion or modification within the scope of the claims, and this does not influence flesh and blood of the present invention.
Claims (3)
1. the positively biased noise detecting method in the solar cell detection system is characterized in that, comprises the steps:
Steps A: place the positively biased testing circuit to make solar cell be in the forward biased condition state in solar cell;
Step B: use sunshine simulation illuminating lamp irradiation solar cell, obtain short-circuit current and the open-circuit voltage size of solar cell under illumination condition;
Step C: utilize shading box to obtain the cut-in voltage size of solar cell under no optical condition;
Step D: the noise signal that detects solar cell;
Step e 0:, then extract the temperature variant curve of solar cell noise power spectral density, and confirm the impurity in the solar cell according to the temperature variant curve of said solar cell noise power spectral density if detect the G-R noise; If do not detect the G-R noise, then next execution in step E and step F;
Step e:, then confirm the Sv-V curve and the S of solar cell according to noise signal if do not detect the G-R noise
I-I curve, with the noise maximum point in the said Sv-V curve at said S
ICarry out the dependability parameter of match in the-I curve with the output solar cell;
Step F: measure the particular location of confirming defects of solar battery through homogeneity,
Wherein, said step D, step e 0, step e and step F are carried out under no optical condition.
2. the positively biased noise detecting method in the solar cell detection system according to claim 1 is characterized in that said step B comprises the steps:
Step B1: measure the voltage at the pull-up resistor two ends of connecting, utilize capacitance to obtain the noise signal of the solar cell of interchange then with solar cell.
3. the positively biased noise detecting method in the solar cell detection system according to claim 1 is characterized in that said step B comprises the steps:
Step B10: measure the voltage at solar cell two ends, obtain the noise signal of solar cell.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104404782A CN102565134A (en) | 2011-12-26 | 2011-12-26 | Forward bias noise detection method in solar cell detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104404782A CN102565134A (en) | 2011-12-26 | 2011-12-26 | Forward bias noise detection method in solar cell detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102565134A true CN102565134A (en) | 2012-07-11 |
Family
ID=46411106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011104404782A Pending CN102565134A (en) | 2011-12-26 | 2011-12-26 | Forward bias noise detection method in solar cell detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102565134A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489980A (en) * | 2019-10-22 | 2020-08-04 | 国家电投集团西安太阳能电力有限公司 | Sensitive detection method for defects of solar cell |
| CN112345061A (en) * | 2020-10-23 | 2021-02-09 | 衡阳晟达信息技术有限公司 | Forward bias noise detection method in solar cell detection system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4287473A (en) * | 1979-05-25 | 1981-09-01 | The United States Of America As Represented By The United States Department Of Energy | Nondestructive method for detecting defects in photodetector and solar cell devices |
-
2011
- 2011-12-26 CN CN2011104404782A patent/CN102565134A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4287473A (en) * | 1979-05-25 | 1981-09-01 | The United States Of America As Represented By The United States Department Of Energy | Nondestructive method for detecting defects in photodetector and solar cell devices |
Non-Patent Citations (6)
| Title |
|---|
| L.K.J.VANDAMME: "Noise as a Diagnostic Tool for Quality and Reliability of Electronic Devices", 《IEEE TRANSACTIONS ON ELECTRON DEVICES》 * |
| Z. CHOBOLA: "Impulse noise in silicon solar cells", 《MICROELECTRONICS JOURNAL》 * |
| Z. CHOBOLA: "Noise as a tool for non-destructive testing of single-crystal silicon solar cells", 《MICROELECTRONICS RELIABILITY》 * |
| Z.CHOBOLA AND A.IBRAHIM: "Noise and scanning by local illumination as reliability estimation for silicon solar cells", 《FLUCTUATION AND NOISE LETTERS》 * |
| 彭丽娟: "基于噪声的太阳能电池检测方法", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
| 高健 等: "基于LabVIEW的多晶硅太阳能电池噪声精确测试方法", 《东北师大学报（自然科学版）》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489980A (en) * | 2019-10-22 | 2020-08-04 | 国家电投集团西安太阳能电力有限公司 | Sensitive detection method for defects of solar cell |
| CN112345061A (en) * | 2020-10-23 | 2021-02-09 | 衡阳晟达信息技术有限公司 | Forward bias noise detection method in solar cell detection system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101696942B (en) | Multi-junction solar cell and AC electroluminescence testing method and device of each sub cell | |
| CN102243069B (en) | Method and device for determining leaf area index | |
| US9876468B2 (en) | Method, system and program product for photovoltaic cell monitoring via current-voltage measurements | |
| CN201408167Y (en) | Color collecting device of urine analyzer | |
| CN203720698U (en) | Multistage voltage stabilizing main circuit device of power supply for simulating properties of photovoltaic module | |
| CN105790711A (en) | Detection method and system for silicon-based module defects of photovoltaic power station | |
| Vorasayan et al. | Limited laser beam induced current measurements: a tool for analysing integrated photovoltaic modules | |
| US20190103832A1 (en) | Method of inspecting solar cell module | |
| CN102565187A (en) | Method for detecting reverse bias noise in solar cell detection system | |
| CN103308841A (en) | Method for calibrating four main gate marking piece | |
| CN102565134A (en) | Forward bias noise detection method in solar cell detection system | |
| CN203337560U (en) | Detection and sorting device for sub-fissures of crystalline silicon wafer of solar cell | |
| CN203011849U (en) | Silicon wafer defect detecting device | |
| Eisgruber et al. | Extraction of individual‐cell photocurrents and shunt resistances in encapsulated modules using large‐scale laser scanning | |
| CN108280287B (en) | Method for extracting solar cell parameters | |
| CN106230379A (en) | The detection device of a kind of multijunction solar cell chip and detection method | |
| CN102539520A (en) | Method for detecting noise of micro-plasma in solar battery detection system | |
| CN106249122B (en) | The high frequency photoconduction life-span tester and its test method of controllable injection ratio | |
| Zhang et al. | Module-level fault diagnosis of photovoltaic array based on wireless sensor networks and inverter activated IV scanning | |
| CN106253846A (en) | A kind of large-scale ground photovoltaic power station power generation performance filed detection system | |
| CN103008260A (en) | System for automatically separating electric parameters of components on flexible photovoltaic component manufacturing production line | |
| CN111834494B (en) | Preparation method, device and equipment of battery assembly and storage medium | |
| CN101976698A (en) | Method for positioning and repairing defective cell in I-V curve abnormal solar cell module | |
| CN105629334A (en) | Meteorological parameter test method for photovoltaic power station system electric efficiency evaluation | |
| US20200159204A1 (en) | Method for Optimising the Power Enhancement of Photovoltaic Solar Plants Using Smart Preventive and Predictive Maintenance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120711 |