CN116670496A - Method for operating a sensor for detecting particles in a measurement gas - Google Patents
Method for operating a sensor for detecting particles in a measurement gas Download PDFInfo
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- CN116670496A CN116670496A CN202180088764.9A CN202180088764A CN116670496A CN 116670496 A CN116670496 A CN 116670496A CN 202180088764 A CN202180088764 A CN 202180088764A CN 116670496 A CN116670496 A CN 116670496A
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- 239000002245 particle Substances 0.000 title claims abstract description 169
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000005259 measurement Methods 0.000 title claims abstract description 39
- 238000009826 distribution Methods 0.000 claims abstract description 71
- 239000004071 soot Substances 0.000 claims abstract description 32
- 238000002485 combustion reaction Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000013213 extrapolation Methods 0.000 claims description 16
- 230000035945 sensitivity Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 4
- 238000009966 trimming Methods 0.000 claims 1
- 230000032683 aging Effects 0.000 description 3
- 239000000428 dust Substances 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 229910010293 ceramic material Inorganic materials 0.000 description 1
- 238000009841 combustion method Methods 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000002847 impedance measurement Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004020 luminiscence type Methods 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
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- 238000011144 upstream manufacturing Methods 0.000 description 1
- 238000009834 vaporization Methods 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N2015/0042—Investigating dispersion of solids
- G01N2015/0046—Investigating dispersion of solids in gas, e.g. smoke
Abstract
A method for operating a sensor (10) for detecting particles, in particular soot particles, in a measuring gas, in particular in the exhaust gas of an internal combustion engine, is proposed. The sensor (10) comprises a sensor element (12) and an analysis processing unit (22), wherein the sensor element (12) is a laser-induced incandescent light sensor element. The method comprises the following steps: detecting particles by means of the sensor element (12), determining a particle size distribution (24) by means of the evaluation unit (22) on the basis of a measurement signal of the particles detected by the sensor element (12), determining a lower measurement limit (30) in terms of particle size by means of the evaluation unit (22), and extrapolating the particle size distribution (24) below the lower measurement limit (30) by means of the evaluation unit (22).
Description
Background
Various methods and devices for detecting particles (Teilchen), such as soot particles or dust particles, are known from the prior art.
The invention is described below, without limiting further embodiments and applications, in particular with reference to a sensor for detecting particles, in particular soot particles in an exhaust gas flow of an internal combustion engine.
It is known from practice to measure the concentration of particles, such as soot particles or dust particles, in the exhaust gas by means of two electrodes arranged on a ceramic. This can be achieved, for example, by measuring the resistance of the ceramic material separating the two electrodes. More precisely, the current flowing between the electrodes when a voltage is applied thereto is measured. Soot particles are deposited between the electrodes due to electrostatic forces and form a conductive bridge between the electrodes over time. The more said bridges are present, the more the measured current increases. Thus, an increased short circuit of the electrode is formed. The sensor element is periodically regenerated by bringing it to at least 700 ℃ by means of an integrated heating element, whereby soot deposits are burned off.
Therefore, this type of sensor works on the principle of impedance measurement of the mass of soot accumulated on the sensor element over a longer measurement period. Sensors of this type are used, for example, in exhaust systems of internal combustion engines, for example, combustion engines in the form of diesel engines. Typically, the sensor is downstream of an exhaust valve or soot particulate filter and is used to monitor the soot particulate filter.
However, in addition to particle mass emissions, it is also necessary to detect particle number emissions. The particle number emissions are now regarded as values measured by means of a agglomerated particle counter (Condensation Particle Counter, CPC), which are determined according to the specifications of the particle measurement program (Particle Measurement Program, PMP). This means in particular that the sensitivity curve is predefined in terms of particle size and that the minimum and maximum particle sizes still to be considered are defined.
Increasingly, exhaust gas regulations becoming more stringent also require the use of particulate filters for gasoline engines, which have been used in the marketplace. Unlike diesel engines, it is not the soot mass that is decisive for compliance with emission limits, but the particle number, since gasoline engines typically emit significantly higher amounts of small soot particles.
Since currently available soot mass sensors are not suitable for counting soot particles for principle reasons, there is a possibility for detecting the emission of particle numbers based on an optical sensor which can fulfill this task and can also be used in the future for diagnosing particulate filters in gasoline applications. In principle, use in diesel vehicles can also be considered.
The so-called laser induced incandescent Light (LII) method is a possible solution here. The method can realize the verification of single particles in the exhaust gas. The LII method offers the following possibilities: the particle size of each individual measured particle is determined based on the signal intensity and the course of the signal over time. Thus, in addition to particle number emission, particle size distribution and particle mass can be determined.
Despite the numerous advantages of the devices for detecting particles known from the prior art, these devices still have an improvement potential. Thus, the LII sensor has a resolution limit in terms of the smallest verifiable particle size, as the LII signal decreases with particle size. In addition, it can be assumed that the smallest verifiable particle size does not remain constant and depends on a number of factors, such as aging (contamination of the window, aging of the laser and detector) or external influences such as ambient temperature (signal-noise behavior is affected).
Disclosure of Invention
A method for operating a sensor for detecting particles, in particular soot particles, is therefore proposed, which avoids the disadvantages of the known operating methods at least to a large extent and which in particular makes possible a best possible adaptation of the particle number emission values measured by means of the LII sensor to a suitable measuring system, in particular, for example, PMP. This includes, in particular, the smallest and largest particle sizes to be measured and the sensitivity required in the limit range.
In a first aspect of the invention, a method for operating a sensor for detecting particles, in particular soot particles, in a measurement gas, in particular in the exhaust gas of an internal combustion engine, is proposed. The sensor comprises a sensor element and an analysis processing unit. The sensor element is a laser-induced incandescent light sensor element.
Particles in the sense of the present invention are understood to be particles, in particular particles that are electrically conductive, such as soot particles or dust particles.
The method comprises the following steps: the particles are detected by means of a laser-induced incandescent photosensor element.
The term "laser-induced incandescent light", as used herein, is a broad term that should be given its ordinary and customary meaning as understood by those skilled in the art. The term is not limited to a particular or matched meaning. The term may particularly, without limitation, refer to a laser-based method for particulate diagnosis and in particular soot diagnosis in a combustion process, by means of which soot concentration, soot particle size distribution, soot structure, etc. may be determined. Laser induced incandescent Light (LII), or laser induced "luminescence" (glu hen), offers the following possibilities: the size of the soot particles and the mapped concentration profile are determined. In addition, the method can be transferred to particles composed of other materials. The laser-induced incandescent light is based on the principles described below.
According to planck's law of radiation, hot particles emit light that can be identified, for example, by the orange color of a flame that produces smoke, which can reach temperatures up to 2000K. In the case of laser-induced incandescent light, the particles are further heated by a high-energy laser beam, in the case of soot up to an evaporation temperature of about 4000K. The emission behavior of the "luminescent" particles differs from that of unheated particles so much (denser radiation, blue-shifted emission maxima, different time characteristics) that selective verification is possible with the aid of sensitive detectors and cameras. The LII signal is proportional to the soot volume concentration. Thus, the method may provide a two-dimensional map of soot concentration in an observed flame. In addition to this, time-resolved measurements can be performed in order to make statements about the particle size (time-resolved LII, TR-LII). After heating by the laser beam, the soot particles slowly cool down again and change their emission characteristics here. Since larger particles cool down slower than smaller particles, the soot particle size distribution can be determined from the time after excitation by measuring the emission. Accordingly, the laser-induced incandescent light sensor element comprises at least one laser source for emitting laser light onto the particles, a detector and a camera for detecting the emission behaviour of the particles irradiated by the laser light.
In addition, the method includes: the particle size distribution is determined by means of an evaluation unit on the basis of the measurement signals of the particles detected by the laser-induced incandescent photosensor element.
The term "particle size distribution", as used herein, is a broad term that shall be given its ordinary and customary meaning as understood by those skilled in the art. The term is not limited to a particular or matched meaning. The term may particularly, without limitation, refer to a graphical distribution of frequencies of particle sizes. Particles (dispersed phase), i.e. grains, droplets, or bubbles, within the surrounding medium (continuous phase) are distinguished by the equivalent diameter to be measured and are classified into selected categories according to their size. To illustrate the particle size distribution, the amount fraction of the respective particle class in the disperse phase is determined. Different quantity types are used. If the particles are counted, the type of quantity is a quantity.
In addition, the method includes: the lower limit of measurement in terms of particle size is determined by means of an analytical processing unit.
The term "measurement limit", as used herein, is a broad term that should be given its ordinary and customary meaning as understood by those skilled in the art. The term is not limited to a particular or matched meaning. The term may refer, without limitation, in particular to a physical parameter that may be measured by a measuring instrument. Correspondingly, the upper measurement limit refers to the largest physical parameter that can be measured by the measuring instrument, and the lower measurement limit refers to the smallest physical parameter that can be measured by the measuring instrument.
In addition, the method includes: the particle size distribution below the lower limit of measurement is extrapolated by means of an analytical processing unit.
The term "Extrapolation" as used herein is a broad term that should be given its ordinary and customary meaning as understood by those skilled in the art. The term is not limited to a particular or matched meaning. The term may particularly, without limitation, refer to the determination of (typically mathematically) behaviour outside the safety range.
The method according to the invention allows, starting from the particle size range that can be measured by means of the LII sensor and the particle size distribution that is determined in this range, an unmeasurable range of the particle size distribution to be approximated and, in addition, to be adapted to the sensitivity curve that is required or sought to be achieved. This has the following advantages: the particle size distribution only needs to be approximated in the edge region, but unlike other measurement methods, a large part is actually measurable. Therefore, the particle number and the particle mass can be determined with relatively high accuracy. The detection of the amount of particulates is relevant because gasoline engines typically emit significantly higher amounts of small soot particulates. These small soot particles are considered toxicologically more safety critical due to their higher lung trafficability.
The extrapolation may be performed as a curve match of the particle size distribution below the lower limit of the measurement. Such curve matching is an approximation method, which is also called curve fitting.
Additionally, the method may include: the particle size distribution is corrected on the basis of the sensor element characteristics, in particular the sensor characteristic map, and the corrected particle size distribution below the lower measurement limit is extrapolated by means of an evaluation unit.
Extrapolation of the particle size distribution can be performed on the basis of a determination of a characteristic variable, in particular the position, width and/or type of the distribution, or on the basis of a previously determined characteristic distribution of the system generating the particles, or on the basis of a particle size distribution determined by application (applikativ).
The extrapolation may comprise a mathematical extrapolation method.
Additionally, the method may include: the extrapolated particle-size distribution is matched to the target sensitivity curve.
Matching the extrapolated particle-size distribution to the target sensitivity curve may include multiplying the extrapolated particle-size distribution by the target sensitivity curve normalized to a range of values.
Additionally, the method may include: the edge region of the extrapolated particle size distribution is trimmed.
Additionally, the method may include: the total number of particles is determined based on the extrapolated particle size distribution.
A computer program is furthermore proposed, which is arranged to perform each step of the method according to the invention.
An electronic storage medium is also proposed, on which such a computer program is stored.
An electronic controller is also proposed, comprising such an electronic storage medium.
Drawings
Further optional details and features of the invention will be apparent from the following description of preferred embodiments schematically illustrated in the accompanying drawings.
The drawings show:
figure 1 shows a schematic view of a sensor for detecting particles according to an embodiment of the invention,
figure 2 shows steps of a method for operating a sensor for detecting particles according to an embodiment of the invention,
figure 3 shows a more detailed example of a method for operating a sensor for detecting particles according to the steps of figure 2,
figure 4 shows another more detailed example of a method for operating a sensor for detecting particles according to the steps of figure 2,
fig. 5 shows a further step of the method for operating a sensor for detecting particles.
Detailed Description
Fig. 1 shows a schematic view of a sensor 10 for detecting particles 12 in a measurement gas according to an embodiment of the invention. The sensor 10 is designed in particular for detecting soot particles in a gas flow, for example an exhaust gas flow, of an internal combustion engine and for installation in an exhaust system of a motor vehicle. The sensor 10 is configured, for example, as a soot sensor and can be arranged downstream or upstream of a soot particulate filter of a motor vehicle having a diesel internal combustion engine. It is then explicitly emphasized that the sensor 10 can be arranged in the exhaust system of a motor vehicle having a gasoline engine. In the example shown, the measurement gas is the exhaust gas of an internal combustion engine. The sensor 10 comprises a sensor element 14. The sensor element 14 is a laser-induced incandescent light sensor element. Accordingly, the sensor element 14 has a laser source 16 for emitting laser light onto the particles 12 so that the particles can be heated to their vaporization temperature, a detector 18 for detecting the emitted radiation of the heated particles 12, and a camera 20. The detector 18 and the camera 20 may be integrated in one unit. In addition, the sensor 10 includes an analysis processing unit 22. The sensor 10 may communicate with the controller 100 wirelessly or by wire.
In the following, a method for operating the sensor 10 according to the invention is described. The particles 12 are detected by means of the sensor element 14. The particle size distribution is determined by means of the evaluation unit 22 on the basis of the measurement signals of the particles 12 detected by the sensor element 12.
Fig. 2 shows steps of a method for operating a sensor 10 for detecting particles according to an embodiment of the invention. Fig. 2 shows an example of the determined particle size distribution 24. Particle size is plotted on the X-axis 26 and the relative frequency of particle size is plotted on the Y-axis 28. In this case, curve 24 shows the course of the measured particle size distribution.
In the case of measuring the particle content in the exhaust gas by means of the sensor 10, the sensor characteristics given here and the lower measurement limit 30 in terms of particle size and optionally the upper measurement limit in terms of particle size are determined for the conditions prevailing at the measurement point in time, such as the exhaust gas temperature and the ambient temperature (including its previous course), the aging state of the sensor 10, etc. This is possible, for example, from the self-diagnostic function of the sensor 10 and is known per se to the person skilled in the art. Thus, the lower and upper measurement limits of the sensor characteristics and of the available particle size distribution in terms of particle size may be considered known for the operation of the method. In addition, fig. 2 shows the required or desired measurement limits 32.
The particle size distribution 24 below the lower measurement limit 30 is extrapolated by means of the analysis processing unit 22. Fig. 2 shows a range 34 of the usable particle size distribution 24, which is approximated by extrapolation, below the lower measurement limit 30. The extrapolation may be performed in particular as a curve match of the particle size distribution 24 below the lower measurement limit 30.
Fig. 3 shows a more detailed example of a method for operating a sensor for detecting particles according to the steps of fig. 2. Only the differences from fig. 2 are described below, the same or similar features being provided with the same reference numerals. For the measured particle size distribution 24, an analysis of the trend with respect to the particle size can now be performed (see fig. 2). For this purpose, the measured signal is first corrected with respect to the known sensor characteristics in order to correctly reproduce the actual particle size distribution in the measuring range. The edge regions are not trimmed first, so that no information about the distribution is lost.
In the case of the single-mode particle size distribution 24 shown in fig. 3, for example, characteristic variables, such as the position and width of the distribution and, if appropriate, the type, can be determined. Alternatively, a curve matching (curve fitting) with the measured distribution can be performed for the usable range of the distribution directly on the basis of a previously determined characteristic distribution of the system (motor) generating the particles, for example, a principle combustion method of the internal combustion engine, or by applying the determined particle size distribution. For both proposed schemes, the following possibilities are directly created after performing the described calculation steps: the missing range of the particle size distribution that is not available due to the physical limits of the sensor is extrapolated. In both schemes, the physical correlation is implicitly considered in the approximation, and in this way the approximation error is minimized with respect to, for example, a linear extrapolation without taking the physical correlation into account. In addition, a mathematical standard method can be used for extrapolation, however, it may have a large approximation error that can be expected.
Fig. 4 shows a more detailed example of a method for operating a sensor for detecting particles according to the steps of fig. 2. Only the differences from fig. 2 are described below, the same or similar features being provided with the same reference numerals. Similarly, the approximation can also be performed for non-single mode particle size distributions, as shown in FIG. 4. Fig. 4 shows in particular a first particle size distribution 36, a second particle size distribution 38 and a resulting overall particle size distribution 40. Fig. 4 additionally shows the range 34 of the measurement lower limit 30, the required or sought-after measurement limit 32 and the total particle size distribution 40 approximated by extrapolation.
The described approximation is expedient if, when using an internal combustion engine, a profile of this type is already detected and the trend is determined, and the profile and the trend are provided as a function of an approximation of the measured data for the sensor 10 or, for example, as a basis for the stored data. Similarly, the overlapping distributions 36, 38 can also be identified based on common mathematical distributions, and an approximation of the missing ranges of the measured particle size distributions 36, 38 can be performed based on the parameters thus determined.
Fig. 5 shows a further step of the method for operating the sensor 10 for detecting particles. The method steps according to the schematic diagram of fig. 2 are used as starting points here. The course of the target sensitivity curve 42 is shown in fig. 5 at the top. Here, the particle size is plotted on the X-axis 44 and the relative frequency is plotted on the Y-axis 46 in the upper region of fig. 5. After the approximation of the particle size distribution 24 is performed by means of extrapolation, optionally a matching with the target sensitivity curve 42 can also be performed. For example, in the pre-specification of the PMP (Particle Measurement Program ) of the controller 100, a defined sensitivity profile of the sensor 10 is required according to particle size. The matching can be performed, for example, by multiplying the measured and subsequently extrapolated particle-size distribution 48 by the sensitivity curve 42 over the normalized value range [0 … 1 ]. This processing is shown in fig. 5. For this purpose, fig. 5 shows, by way of example, the effect on the particle size distribution 48 in each substep. Thus, the extrapolated particle size distribution 48 is shown in the lower region in fig. 5. Here, the particle size is plotted on the X-axis 50 and the relative frequency is plotted on the Y-axis in the lower region of fig. 5. In addition, a first thus matched range 52 of the extrapolated particle size distribution 48 is shown in the lower measurement range of the particle size in fig. 5, and a second thus matched range 54 of the extrapolated particle size distribution 48 is shown in the upper measurement range of the particle size.
By taking into account the sensitivity curve 42, any desired requirement in terms of the sensitivity to be determined can be matched. In addition, a concentration range that may not need to be observed can also be considered. For example, different measurement methods have a lower measurement limit in terms of particle concentration. This behavior is not present in the case of an incandescent light sensor element induced by means of a laser. However, the corresponding behavior of the sensor 10 can be simulated simply, similar to the process for the sensitivity curve.
In addition, in the method, edge regions may be trimmed for avoiding noise effects and/or for determining the total number of particles.
The method according to the invention can be verified by the source code of the software of the sensor. Another possibility is to create very small/very large particles below/above the technical detection limit of the sensor. If the sensor does not show a measurement signal although the particle size is in the illustrated resolution range of the sensor, this fully illustrates the extrapolation method of the particle size distribution. Furthermore, the identification of the sensor behavior, the "systematic identification", can be carried out at a particle inspection station, by means of which the use of the invention can be verified.
Claims (12)
1. Method for operating a sensor (10) for detecting particles, in particular soot particles, in a measurement gas, in particular in an exhaust gas of an internal combustion engine, the sensor comprising a sensor element (12) and an analysis processing unit (22), wherein the sensor element (12) is a laser-induced incandescent light sensor element, wherein the method comprises:
detecting particles by means of the sensor element (12),
the particle size distribution (24) is determined by means of the evaluation unit (22) on the basis of the measurement signals of the particles detected by the sensor element (12),
determining a lower measurement limit (30) in terms of particle size by means of the evaluation unit (22),
-extrapolating the particle size distribution (24) below the lower measurement limit (30) by means of the analysis processing unit (22).
2. The method according to the preceding claim, wherein the extrapolation is implemented as a curve matching of the particle size distribution (24) below the lower measurement limit (30).
3. The method according to any of the preceding claims, further comprising correcting the particle size distribution (24) based on sensor element characteristics, in particular a family of sensor characteristics, and extrapolating the corrected particle size distribution below the lower measurement limit (30) by means of the analytical processing unit (22).
4. Method according to any of the preceding claims, wherein the extrapolation of the particle size distribution (24) is performed on the basis of a determination of a characteristic parameter, in particular the position, width and/or type of the distribution, or on the basis of a characteristic distribution determined beforehand by a system generating particles, or on the basis of a particle size distribution determined by application.
5. A method according to any one of the preceding claims, wherein the extrapolation comprises a mathematical extrapolation method.
6. The method of any of the above claims, further comprising matching the extrapolated particle-size distribution (48) to a target sensitivity curve (42).
7. The method of the preceding claim, wherein matching the particle size distribution (24) to a target sensitivity curve (42) comprises: the extrapolated particle-size distribution (48) is multiplied by a target sensitivity curve (42) normalized to a range of values.
8. The method of any of the above claims, further comprising trimming an edge region of the extrapolated particle size distribution (48).
9. The method of any of the above claims, further comprising determining a total number of particles based on the extrapolated particle size distribution (48).
10. A computer program arranged to perform each of the steps of the method according to any of the preceding claims.
11. An electronic storage medium on which the computer program according to claim 10 is stored.
12. An electronic controller comprising the electronic storage medium of claim 11.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102020213731.5 | 2020-11-02 | ||
| DE102020213731.5A DE102020213731A1 (en) | 2020-11-02 | 2020-11-02 | Method for operating a sensor for detecting particles in a measurement gas |
| PCT/EP2021/077999 WO2022089923A1 (en) | 2020-11-02 | 2021-10-11 | Method for operating a sensor for detecting particles in a measurement gas |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116670496A true CN116670496A (en) | 2023-08-29 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202180088764.9A Pending CN116670496A (en) | 2020-11-02 | 2021-10-11 | Method for operating a sensor for detecting particles in a measurement gas |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP4237821A1 (en) |
| CN (1) | CN116670496A (en) |
| DE (1) | DE102020213731A1 (en) |
| WO (1) | WO2022089923A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7782459B2 (en) * | 2007-09-24 | 2010-08-24 | Process Metrix | Laser-based apparatus and method for measuring agglomerate concentration and mean agglomerate size |
| DE102017207402A1 (en) * | 2017-05-03 | 2018-11-08 | Robert Bosch Gmbh | Optical soot particle sensor for motor vehicles |
| DE102017218084A1 (en) * | 2017-10-11 | 2019-04-11 | Robert Bosch Gmbh | Particle sensor unit with an optical particle sensor |
| DE102018218912A1 (en) * | 2018-11-06 | 2020-05-07 | Robert Bosch Gmbh | Particle sensor for the detection of particles or aerosol in a flowing fluid using the principle of laser-induced incandescence |
| DE102018219891A1 (en) * | 2018-11-20 | 2020-05-20 | Robert Bosch Gmbh | Method for operating a particle sensor |
| DE102018221700A1 (en) * | 2018-12-13 | 2020-06-18 | Robert Bosch Gmbh | Method for the detection of particles or aerosol in a flowing fluid, computer program and electrical storage medium |
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2020
- 2020-11-02 DE DE102020213731.5A patent/DE102020213731A1/en active Pending
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2021
- 2021-10-11 CN CN202180088764.9A patent/CN116670496A/en active Pending
- 2021-10-11 WO PCT/EP2021/077999 patent/WO2022089923A1/en active Application Filing
- 2021-10-11 EP EP21793884.4A patent/EP4237821A1/en active Pending
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| Publication number | Publication date |
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| WO2022089923A1 (en) | 2022-05-05 |
| EP4237821A1 (en) | 2023-09-06 |
| DE102020213731A1 (en) | 2022-05-05 |
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