JP2018022611A - Information processing system, information processing device, information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To grasp the degree of use of an actually filled hydrogen gas containing impurities which causes abnormality in a cell stack of a FCV.SOLUTION: An information processing system includes an online analyzing device and an information processing device. The online analyzing device comprises: an online analyzer that on a supply line, analyzes an impurity content in fuel to be supplied to a fuel cell vehicle; a meter that measures an amount of fuel supplied to the fuel cell vehicle; and a notification unit that notifies the information processing device of supply information including the impurity content analyzed by the online analyzer and the amount of fuel measured by the meter. The information processing device comprises: an acquisition unit that acquires information on traveling of the fuel cell vehicle and a fuel cell; and an analyzing unit that on the basis of the supply information and the information on the traveling and fuel cell, analyzes the degree of reduction in power generation capability of the fuel cell according to an impurity amount supplied to the fuel cell.SELECTED DRAWING: Figure 6

Description

The present invention relates to an information processing system, an information processing apparatus, an information processing method, and a program.

  In recent years, attempts have been made to spread hydrogen stations that supply hydrogen gas to fuel cell vehicles (FCVs).

  The durability of the fuel cell (cell stack) mounted on the FCV largely depends on the amount of impurities in the hydrogen gas to be filled. The amount of impurities in the hydrogen gas is related to the amount of catalyst poisoning in the cell stack and the cumulative amount of sulfur components that affect the power generation of the cell stack, and is a major factor that determines the life of the cell stack. is there.

  For this reason, the hydrogen station periodically collects hydrogen gas from the storage tank (for example, every year), and checks whether the content of various impurities in the hydrogen gas is below a specified value.

  In this inspection, sampling hydrogen gas is conventionally collected from the storage tank of the hydrogen station, the collected hydrogen gas is brought into the analysis center, and the contents of various impurities in the hydrogen gas are measured with the analysis device of the analysis center. This was done by analysis (see FIG. 14).

  Non-Patent Document 1 discloses an analysis method for management items defined in international standards by the International Organization for Standardization.

Arul Murugan, Andrew S. Brown, Review of purity analysis methods for performing quality assurance of fuel cell hydrogen, International Journal of Hydrogen Energy 40 (2015), 4219-4233

  However, in the conventional technology, the amount of impurities in the hydrogen gas actually filled in each FCV cannot be grasped, and therefore, no matter how much hydrogen gas containing impurities is used, there is an abnormality in the FCV cell stack. I can't figure out what happens.

  Accordingly, it is an object of the present invention to provide a technique capable of grasping how much hydrogen gas containing impurities that are actually filled is used to cause an abnormality in the FCV cell stack.

  In the information processing system having an online analysis device and an information processing device, the online analysis device analyzes on the supply line the content of impurities in the fuel supplied to the fuel cell vehicle, and the fuel cell. A meter for measuring the amount of fuel supplied to the automobile, the content of impurities analyzed by the online analyzer, and supply information including the amount of fuel measured by the meter are notified to the information processing device. A notification unit, and the information processing device, based on the supply information, the acquisition unit that acquires the information on the travel of the fuel cell vehicle and the fuel cell, the information on the travel and the fuel cell, An analysis unit that analyzes a degree of decrease in power generation capacity of the fuel cell according to the amount of impurities supplied to the fuel cell. Processing system.

  According to the disclosed technique, it is possible to grasp how much hydrogen gas containing impurities that are actually filled is used to cause abnormality in the FCV cell stack.

It is a figure showing an example of composition of an information processing system concerning an embodiment. It is a figure which shows the hardware structural example of the fuel management server in embodiment. It is a figure which shows the hardware structural example of the online analyzer in embodiment. It is a figure which shows the hardware structural example of FCV in embodiment. It is a figure which shows an example of the functional block of each apparatus in an information processing system. It is a sequence figure showing an example of processing of an information processing system. It is a figure which shows an example of supply information. It is a figure which shows an example of filling information. It is a figure which shows an example of driving | running | working information. It is a figure which shows an example of fuel cell information. It is a figure which shows an example of maintenance information. It is a flowchart which shows an example of an analysis process. It is a figure which shows an example of a structure of the online analyzer in embodiment. It is a figure explaining the method of analyzing content of the various impurities in the conventional hydrogen gas.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<System configuration>
FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. 1, the information processing system 1 includes a fuel management server 10 and a plurality of online analyzers 20-1, 20-2,... (Hereinafter simply referred to as “online analyzer 20” unless they are distinguished from each other). ), A plurality of FCVs (fuel cell vehicles) 30-1, 30-2 (hereinafter simply referred to as “FCV 30” when not distinguished from each other), and an FCV management server 40.

  Hereinafter, as an example of the fuel, a case where hydrogen gas is used will be described as an example. However, the fuel is not limited to hydrogen gas, and alcohol or biofuel may be used.

  The fuel management server 10 and the online analysis device 20 are communicably connected via a communication network such as a mobile communication network such as the Internet or LTE.

  Further, the fuel management server 10 and the FCV management server 40 are communicably connected via a communication network such as the mobile communication network such as the Internet or LTE.

  Further, the FCV 30 and the FCV management server 40 are communicably connected via a communication network such as a mobile communication network such as a wireless LAN, the Internet, or LTE.

  The fuel management server 10 is, for example, a server operated by a company that supplies hydrogen gas to a hydrogen gas station, and performs various types of analysis.

  For example, the online analyzer 20 is installed in a hydrogen gas station, and online analyzes the contents of various impurities in the hydrogen gas supplied (filled) to the FCV 30. Note that online analysis means that hydrogen gas flowing from the storage tank to the FCV 30 is analyzed as needed on the supply line from the storage tank to the FCV 30.

  The online analyzer 20 notifies the fuel management server 10 of the amount of hydrogen gas supplied (filled) to the FCV 30 and the contents of various impurities in the hydrogen gas supplied (filled) to the FCV 30.

  The FCV 30 is a fuel cell vehicle, records hydrogen gas filling information and travel information, and notifies the FCV management server 40 of the information.

  The FCV management server 40 is a server operated by, for example, a FCV 30 dealer, and notifies the fuel management server 10 of information acquired from the FCV 30 and FCV 30 maintenance information.

<Hardware configuration>
FIG. 2 is a diagram illustrating a hardware configuration example of the fuel management server 10 according to the embodiment. The fuel management server 10 in FIG. 2 includes a drive device 100, an auxiliary storage device 102, a memory device 103, a CPU 104, an interface device 105, and the like that are mutually connected by a bus B.

An information processing program for realizing processing in the fuel management server 10 is provided by the recording medium 101. When the recording medium 101 on which the information processing program is recorded is set in the drive device 100, the information processing program is installed from the recording medium 101 to the auxiliary storage device 102 via the drive device 100. However, the information processing program need not always be installed from the recording medium 101, and may be downloaded from another computer via a network. The auxiliary storage device 102 stores the installed information processing program and also stores necessary files and data.
The memory device 103 reads the program from the auxiliary storage device 102 and stores it when there is an instruction to start the program. The CPU 104 realizes functions related to the fuel management server 10 in accordance with a program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network.

  An example of the recording medium 101 is a portable recording medium such as a CD-ROM, a DVD disk, or a USB memory. An example of the auxiliary storage device 102 is an HDD (Hard Disk Drive) or a flash memory. Both the recording medium 101 and the auxiliary storage device 102 correspond to computer-readable recording media.

  The hardware configuration of the FCV management server 40 may be the same as the hardware configuration example of the fuel management server 10 shown in FIG.

  FIG. 3 is a diagram illustrating a hardware configuration example of the online analysis device 20 according to the embodiment.

  The online analysis device 20 includes a customer information acquisition unit 21, an online analyzer 22, a meter 23, a recording unit 24, and a communication unit 25.

  The customer information acquisition unit 21 is, for example, a card reader, and stores information (customer ID) for identifying a customer such as a credit card number used for hydrogen gas fee payment and a membership number of a membership card issued by a hydrogen station. get.

  The online analyzer 22 analyzes the content of various impurities in the hydrogen gas flowing to the FCV 30 online. Details of the online analyzer 22 will be described later.

  The meter 23 measures the amount (filling amount) of hydrogen gas supplied (filled) to the FCV 30.

  The recording unit 24 stores supply information 241 including the customer ID acquired by the customer information acquisition unit 21, the contents of various impurities analyzed by the online analyzer 22, the filling amount measured by the meter 23, and the like.

  The communication unit 25 notifies the supply information 241 to the fuel management server 10.

FIG. 4 is a diagram illustrating a hardware configuration example of the FCV 30 in the embodiment. The FCV 30 includes a filling information recording unit 31, a travel information recording unit 32, a fuel cell information recording unit 33, and a communication unit 34.

  The filling information recording unit 31 records filling information 311 acquired from, for example, an ECU (engine control unit).

  The travel information recording unit 32 records travel information 321 acquired from the ECU, for example.

  The fuel cell information recording unit 33 records the fuel cell information 331 acquired from, for example, the ECU.

  The communication unit 34 notifies the FCV management server 40 of the filling information 311, the traveling information 321, and the fuel cell information 331.

<Functional configuration>
Next, a functional configuration of each device in the information processing system 1 will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of functional blocks of each device in the information processing system 1.

  The fuel management server 10 includes an acquisition unit 12, an analysis unit 13, and a notification unit 14. Each of these units is realized by processing that one or more programs installed in the fuel management server 10 cause the CPU 104 of the fuel management server 10 to execute.

  The fuel management server 10 also has a storage unit 11. The storage unit 11 is realized using, for example, the auxiliary storage device 102 or the like.

  The acquisition unit 12 acquires various types of information from the online analysis device 20, the FCV management server 40, and the like.

  The storage unit 11 stores information acquired by the acquisition unit 12.

  The analysis unit 13 performs various types of analysis based on the information stored in the storage unit 11. For example, the analysis unit 13 calculates the amount of impurities supplied to the fuel cell based on the travel data of the FCV 30 and the power generation data of the fuel cell and the amount and quality data of the hydrogen gas supplied to the FCV 30 from the online analyzer 20. In response, the degree of decrease in power generation capacity in the cell stack of FCV30 is analyzed.

  When the amount of impurities supplied to the cell stack of the FCV 30 is equal to or greater than a predetermined threshold corresponding to the FCV 30 vehicle type or the FCV 30 fuel cell type, the notification unit 14 notifies the FCV 30 and the FCV management server 40 of that fact. Or notify the online analyzer 20.

  The FCV management server 40 includes a processing unit 42 and a communication unit 43. Each of these units is realized by processing that one or more programs installed in the FCV management server 40 cause the CPU of the FCV management server 40 to execute.

  Further, the FCV management server 40 has a maintenance information storage unit 41. The maintenance information storage unit 41 is realized using, for example, an auxiliary storage device.

  The maintenance information storage unit 41 stores maintenance information 411 described later.

  The processing unit 42 performs processing for notifying the fuel management server 10 of information acquired from the FCV 30 and maintenance information 411 via the communication unit 43.

  The communication unit 43 communicates with the FCV 30 and the fuel management server 10.

<Processing>
Next, processing of the information processing system 1 will be described with reference to FIG. FIG. 6 is a sequence diagram illustrating an example of processing of the information processing system 1.

  In step S1, the recording unit 24 of the online analyzer 20 records the supply information 241 when the FCV 30 is filled with hydrogen gas.

  FIG. 7 is a diagram illustrating an example of the supply information 241. The supply information 241 includes items of hydrogen station ID, online analyzer ID, customer ID, date and time, filling amount, and contents of various impurities. The hydrogen station ID is identification information of the hydrogen station where the online analyzer 20 is installed. The online analysis device ID is identification information of the online analysis device 20. The customer ID is identification information of the FCV30 user. The customer ID may be, for example, a credit card number used for payment of hydrogen gas charges, a membership number of a membership card issued by a hydrogen station, or the like. The date and time is the date and time when the FCV 30 is filled with hydrogen gas. The filling amount is the amount of hydrogen gas filled in the FCV 30. The content of various impurities is the content of various impurities in the hydrogen gas filled in the FCV 30.

  When the hydrogen gas is filled in the hydrogen station, the filling information recording unit 31 of the FCV 30 records the filling information 311 (step S2).

  FIG. 8 is a diagram illustrating an example of the filling information 311. The filling information 311 includes items of date and filling amount. The date and time is the date and time when the FCV 30 is filled with hydrogen gas. The filling amount is the amount of hydrogen gas filled in the FCV 30.

  Subsequently, the communication unit 25 of the online analyzer 20 notifies the supply information 241 to the fuel management server 10 (step S3).

  Subsequently, the storage unit 11 of the fuel management server 10 stores the notified supply information 241 (step S4).

  Subsequently, the traveling information recording unit 32 of the FCV 30 records the traveling information 321 and the fuel cell information 331 while the vehicle is traveling (step S5).

  FIG. 9 is a diagram illustrating an example of the travel information 321. The travel information 321 includes items of travel date, travel distance, and travel time. The travel date is the date on which the FCV 30 traveled. The travel distance is the distance traveled by the FCV 30. The travel time is the length of time that the FCV 30 travels. In the example of FIG. 9, it is recorded on 2016/6/20 that the vehicle traveled for 35 km for 1.5 hours.

  FIG. 10 is a diagram illustrating an example of the fuel cell information 331. The fuel cell information 331 includes items of travel date, power generation time, power generation amount, power generation efficiency, and power generation voltage. The power generation time is the length of time that the FCV30 cell stack generates power. The power generation amount, power generation efficiency, and power generation voltage are the power generation amount, power generation efficiency, and power generation voltage of the cell stack of FCV 30, respectively. The power generation amount, power generation efficiency, and power generation voltage are examples of indices indicating the power generation capacity of the FCV30 cell stack.

  After that, for example, at the time of vehicle inspection of the FCV 30, the communication unit 34 of the FCV 30 notifies the customer ID, the filling information 311, the traveling information 321, and the fuel cell information 331 to the FCV management server 40 (step S6). It is assumed that the customer ID is preset in the FCV 30.

  Subsequently, the FCV management server 40 notifies the fuel management server 10 of the customer ID, the filling information 311, the traveling information 321, the fuel cell information 331, and the maintenance information 411 at the time of vehicle inspection of the FCV 30 notified from the FCV 30 ( Step S7).

  FIG. 11 is a diagram illustrating an example of the maintenance information 411. The maintenance information 411 includes items of customer ID, vehicle type ID, component ID, and replacement date / time. The vehicle type ID is identification information of the vehicle type of the FCV 30 owned by the user related to the customer ID. The component ID is identification information of a component related to the cell stack of the FCV 30. The replacement date and time is the date on which the part related to the part ID is replaced or repaired.

  Subsequently, the acquisition unit 12 of the fuel management server 10 stores the filling information 311, the traveling information 321, the fuel cell information 331, and the maintenance information 411 in the storage unit 11 in association with the notified customer ID (step S8). .

  Subsequently, the analysis unit 13 of the fuel management server 10 determines the cell stack of the FCV 30 based on the supply information 241 from the online analysis device 20, the filling information 311 from the FCV 30, the travel information 321, the fuel cell information 331, and the maintenance information. Analysis processing such as estimation of the cause of failure and prediction of failure time is performed (step S9).

  Subsequently, the analysis unit 13 of the fuel management server 10 provides the FCV management server 40 or the user of the FCV 30 with inspection information including information on the vehicle inspection time of the FCV 30 and parts to be maintained according to the result of the analysis processing. Notification is made (step S10). The analysis unit 13 of the fuel management server 10 may notify the next replacement or repair timing (timing) of each part related to the cell stack of the FCV 30 as the inspection information, for example.

  Subsequently, the notification unit 14 of the fuel management server 10 notifies the on-line analyzer 20 of cause information including information on the vehicle type of the FCV 30, the amount of various impurities, and the degree of decrease according to the result of the analysis process (step S11). ). The cause information may also be notified to the FCV 30 via the online analyzer 20.

  Subsequently, the billing unit 26 of the online analyzer 20 sets a unit price corresponding to the quality of the hydrogen gas measured online based on the contents of various impurities analyzed by the online analyzer 22 and the cause information (step) S12). Thereby, the unit price according to the quality of fuel, such as regular and high-octane, can be set.

  Subsequently, when the charging unit 26 of the online analyzer 20 fills the FCV 30 with hydrogen gas, the charging unit 26 charges the user of the FCV 30 according to the charged quality (step S13).

≪Analysis processing≫
Next, with reference to FIG. 12, the analysis process of step S9 by the analysis unit 13 will be described. FIG. 12 is a flowchart illustrating an example of analysis processing.

  In step S <b> 101, the analysis unit 13 estimates the amount of hydrogen gas consumed in the cell stack of the FCV 30 based on the filling information 311 and the traveling information 321.

  For example, the fuel consumption (km / kg) of the FCV 30 is calculated by dividing the travel distance in the predetermined period of the traveling information 321 by the filling amount in the predetermined period of the charging information 311. Subsequently, the amount of hydrogen gas consumed on each travel day is estimated by dividing the travel distance on each travel day by the calculated fuel consumption.

  Subsequently, the analysis unit 13 estimates the amounts of various impurities supplied to the cell stack of the FCV 30 based on the supply information 241 and the amount of hydrogen gas estimated in step S101 (step S102).

  For example, the amount of various impurities supplied to the cell stack of the FCV 30 is estimated by multiplying the estimated amount of hydrogen gas by the content of various impurities in the supply information 241.

  Subsequently, the analysis unit 13 calculates changes in the amounts of various impurities and the power generation amount or power generation voltage based on the amounts of various impurities supplied to the cell stack of the FCV 30 and the fuel cell information 331 (step S103). ).

  For example, the difference in the amount of various impurities supplied to the cell stack of the FCV 30 on each travel day is associated with the difference (decrease) in the power generation amount or power generation voltage on the previous day and each day of the travel day. Thereby, the causal relationship between the amount of various impurities supplied to the cell stack and the change in the power generation amount or the power generation voltage according to the vehicle type of the FCV 30 can be analyzed.

  In addition, although the example which analyzes the causal relationship according to the vehicle type of FCV30 was demonstrated above, in addition to a vehicle type or it changes into a vehicle type, you may analyze a causal relationship according to the model of the fuel cell of FCV30. .

  Subsequently, the analysis unit 13 estimates the cause of failure of the cell stack according to the causal relationship between the change in the amount of various impurities supplied to the cell stack and the change in the power generation amount or the power generation voltage according to the vehicle type of FCV30. (Step S104).

  For example, when the fluctuation range of the power generation amount or the generation voltage is a decrease of a predetermined threshold value or more, among the various impurities supplied to the cell stack, impurities whose supply amount fluctuation range is increased by a predetermined threshold value or more Estimate the cause of failure.

  Subsequently, the analysis unit 13 determines the amount of various impurities supplied to the cell stack of the FCV 30 and the maintenance information 411 until the replacement of the parts related to the cell stack of the FCV 30. The amount of various impurities supplied to is calculated (step S105).

  For example, it is calculated that the sulfur content and argon supplied to the cell stack before replacing the filter are X gram and Y gram, respectively.

  Subsequently, for each component related to the cell stack of the FCV 30, the cumulative amount of various impurities supplied to the cell stack of the FCV 30 from the replacement of the component to the present is calculated (step S106).

  Subsequently, the analysis unit 13 estimates the next replacement or repair timing (timing) of each part related to the cell stack of the FCV 30 based on the traveling information 321 (step S107).

  For example, X and Y grams of sulfur and argon supplied to the cell stack before changing the filter are respectively X gram and Y gram, and sulfur and argon supplied to the cell stack to date are X / 2 gram and Y / Y, respectively. Assume 2 grams. When one year has passed since the filter was replaced, the filter replacement time is estimated to be one year from now.

  Subsequently, the analysis unit 13 determines the degree of decrease in power generation capacity in the FCV30 cell stack, the filling amount included in the filling information 311 and the filling date and time according to the amount of impurities supplied to the FCV30 cell stack. Based on this, the filling date and time when the power generation capacity in the cell stack of the FCV 30 is reduced by a predetermined threshold or more is estimated (step S108). This makes it possible to estimate when there is a problem with the quality of the charged hydrogen gas. For example, the hydrogen gas supplied by the online analyzer 20 and the hydrogen gas of another operator supplied without going through the online analyzer 20 It is possible to estimate which of the problems is.

  In addition, each item calculated or estimated in the analysis process may be calculated or estimated using machine learning, for example.

<Online analyzer>
Next, the online analyzer 22 will be described with reference to FIG. The on-line analyzer 22 is not conventionally known, but is not limited to the following example as long as it can analyze the contents of various impurities in the fuel as needed (continuously) on the supply line.

  FIG. 13 is a diagram illustrating an example of the configuration of the online analyzer 22 in the embodiment. The on-line analyzer 22 is provided in, for example, a hydrogen station, and analyzes a plurality of impurities contained in hydrogen produced by a hydrogen production apparatus or transported hydrogen. The online analyzer 22 can also analyze impurities such as argon and nitrogen.

  When analyzing impurities in hydrogen, for example, analysis of a plurality of impurities defined in an international standard (ISO14687-2) by the International Organization for Standardization is performed. Table 1 shown below shows impurities in hydrogen and standard values defined in international standards (ISO14687-2). In order to use hydrogen as a fuel, for example, each impurity needs to be below a reference value as defined in the international standard (ISO14687-2).

  As shown in FIG. 13, the online analyzer 22 in the present embodiment includes a pressure reducing valve 221, a moisture meter 222, and a mass spectrometer 223 as a pressure reducing unit.

  The pressure reducing valve 221 is provided at the gas introduction port of the online analyzer 22 and depressurizes hydrogen supplied as an analysis target gas to the online analyzer 22 from, for example, a hydrogen production apparatus. For example, the pressure reducing valve 221 reduces the pressure of hydrogen produced by a hydrogen production apparatus and compressed to about 0.7 to 82 MPa to about 0.1 MPa. The analysis target gas decompressed by the decompression valve 221 is guided to the moisture meter 222 and the mass spectrometer 223 through a pipe. In the present embodiment, the diaphragm type pressure reducing valve 221 is provided as the pressure reducing unit. However, the present invention is not limited to this as long as the analysis target gas can be decompressed.

  The moisture meter 222 measures the amount of moisture contained in the analysis target gas decompressed by the decompression valve 221. As long as the moisture meter 222 can measure the moisture content in the analysis target gas, the measurement method is not limited.

The mass spectrometer 223 analyzes a plurality of impurities contained in the analysis target gas decompressed by the decompression valve 221. For example, when analyzing impurities in hydrogen, the mass spectrometer 223 analyzes impurities other than water H ₂ O measured by the moisture meter 222 among the impurities shown in Table 1.

  As shown in FIG. 13, the mass spectrometer 223 includes an ionization unit 2231, a mass separation unit 2232, a detection unit 2233, and an analysis unit 2234.

  The ionization unit 2231 ionizes a plurality of impurities contained in the analysis target gas by an electron ionization method or a soft ionization method. Electron ionization (EI) is a method of ionizing impurity molecules by causing electrons having energy of several tens of eV (usually 70 eV) to collide with impurity molecules to be analyzed. Soft ionization is a method that performs ionization at a lower energy than electron ionization. Chemical ionization (Chemical Ionization), which ionizes by causing an ion molecule reaction between the impurity molecules to be analyzed and previously ionized gas molecules. CI) and photo-ionization (PI).

  The mass separation unit 2232 separates ions generated by the ionization unit 2231 according to the mass to charge ratio. As the mass separation unit 2232, for example, a magnetic field deflection type, a quadrupole type, an ion trap type, or the like can be used. The detection unit 2233 includes, for example, an electron multiplier, a microchannel plate, and the like, and detects ions separated by the mass separation unit 2232. Based on the detection signal transmitted from the detection unit 2233, the analysis unit 2234 obtains a mass spectrum in which the horizontal axis is the mass number and the vertical axis is the detection intensity.

  The analysis method of each impurity of the mass spectrometer 223 when analyzing impurities in hydrogen is illustrated in Table 2 below.

In the present embodiment, the ionization unit 2231 ionizes helium He, nitrogen N ₂ , and argon Ar, which are impurities in hydrogen, by an electron ionization method in which electrons having an energy of 70 eV collide, for example.

In addition, as shown in Table 2, the ionization unit 2231 uses a soft ionization method (ion molecular reaction method) using xenon Xe, krypton Kr, and mercury Hg as an ion source, so that all hydrocarbons that are impurities in hydrogen (for example, Ionization of CH ₄ ), oxygen O ₂ , carbon dioxide CO ₂ , carbon monoxide CO, total sulfur (eg H ₂ S), formaldehyde HCHO, formic acid HCOOH, ammonia NH ₃ and total halogen (eg Cl ₂ ).

  In the soft ionization method, since ionization efficiency is high, even a low concentration impurity can be detected. The soft ionization method performs ionization at a low energy and suppresses the generation of fragments due to the destruction of impurity molecules, enabling high-precision analysis with less influence on each other among multiple impurities. Become. Furthermore, in the soft ionization method, even when there are impurities having the same mass number, they can be separated and analyzed by selecting different ion sources according to the ionization energy of each impurity.

  Thus, for example, a plurality of impurities in hydrogen are ionized under the above-described conditions in the ionization unit 2231, respectively. The ions generated by the ionization unit 2231 are detected by the detection unit 2233 after being separated by the mass separation unit 2232 according to the mass to charge ratio.

  When impurities are detected, a detection intensity peak appears in the mass number corresponding to the impurities detected in the mass spectrum obtained by the analysis unit 2234. Since the impurities shown in Table 2 have different mass numbers, they can be separated and analyzed in the mass spectrum without overlapping detection intensity peaks.

However, when helium He, nitrogen N ₂ , and argon Ar are ionized by the electron ionization method, fragments generated by destruction of other impurities having low ionization energy may affect the analysis result. Therefore, in this case, the quantitative value (analysis result) of each impurity obtained by using the soft ionization method is subtracted from the quantitative value (analysis result) of each impurity obtained by using the electron ionization method. This eliminates the influence of other impurity fragments from the analysis result of the impurity to be analyzed in the electron ionization method. Note that helium He, nitrogen N ₂ , and argon Ar can be analyzed without affecting each other even when the electron ionization method is used.

The method of ionizing a plurality of impurities in hydrogen is not limited to the conditions illustrated in Table 2. If impurities can be ionized and detected, each impurity may be ionized by a method different from Table 2. Good. Further, for example, when analyzing impurities contained in argon Ar, nitrogen N ₂ or the like, an ionization method and ions capable of analyzing each impurity by minimizing the mutual influence among a plurality of impurities. Select a source.

<Summary>
Conventionally, a technique for analyzing the contents of various impurities in fuel such as hydrogen gas as needed on the supply line to the FCV 30 has not been publicly known.

  As described above, according to the present embodiment, the fuel management server 10 acquires the content of various impurities in the fuel supplied to the FCV 30 and the amount of fuel supplied to the FCV 30 from the online analyzer 20. To do. In addition, the fuel management server 10 acquires, for example, information related to traveling of the FCV 30 and information related to the power generation capability of the fuel cell of the FCV 30 from the FCV 30 or the FCV management server 40. Then, the fuel management server 10 analyzes the degree of decrease in power generation capability of the fuel cell according to the amounts of various impurities supplied to the fuel cell of the FCV 30 based on the acquired information.

  For example, in each station, when fuel is generated from a raw material supplied through a raw material line such as a gas conduit by a hydrogen gas production apparatus or the like, it is assumed that the quality of the generated fuel varies. In such a case, according to the present embodiment, since the quality of the fuel flowing through the supply line is measured, a comparatively accurate analysis can be performed.

  The exemplary embodiments of the present invention have been described above, but the present invention is not limited to the specifically disclosed embodiments, and various modifications can be made without departing from the scope of the claims. And changes are possible.

1 Information processing system 10 Fuel management server (an example of “information processing device”)
DESCRIPTION OF SYMBOLS 11 Memory | storage part 12 Acquisition part 13 Analysis part 14 Notification part 20 Online analyzer 21 Customer information acquisition part 22 Online analyzer 23 Meter 24 Recording part 241 Supply information 25 Communication part 26 Charging part 30 FCV
31 Filling information recording unit 311 Filling information 32 Traveling information recording unit 321 Traveling information 33 Fuel cell information recording unit 331 Fuel cell information 34 Communication unit 40 FCV management server 41 Maintenance information storage unit 411 Maintenance information 42 Processing unit 43 Communication unit

Claims (10)

An information processing system having an online analysis device and an information processing device,
The online analyzer is
An online analyzer for analyzing the content of impurities in the fuel supplied to the fuel cell vehicle on the supply line;
A meter for measuring the amount of fuel supplied to the fuel cell vehicle;
A notification unit for notifying the information processing apparatus of supply information including the content of impurities analyzed by the online analyzer and the amount of fuel measured by the meter;
With
The information processing apparatus includes:
An acquisition unit for acquiring information on the travel of the fuel cell vehicle and fuel cell;
An analysis unit for analyzing the degree of decrease in power generation capacity in the fuel cell according to the amount of impurities supplied to the fuel cell based on the travel and information on the fuel cell and the supply information;
An information processing system comprising: The acquisition unit acquires information indicating a timing at which replacement or repair of a part related to the fuel cell is performed,
The analysis unit may replace the component next time based on the amount of impurities supplied to the fuel cell by the timing and the amount of impurities supplied to the fuel cell from the timing to the present. Or estimate the timing of repairs,
The information processing system according to claim 1. The information processing system according to claim 2, wherein the analysis unit notifies the timing of the next replacement or repair of the estimated part to the outside. The acquisition unit acquires the type of the fuel cell vehicle or the type of the fuel cell of the fuel cell vehicle,
The analysis unit analyzes a degree of decrease in power generation capability of the fuel cell according to the amount of impurities supplied to the fuel cell according to the vehicle type or model. The information processing system according to any one of the above. The information processing apparatus includes:
The information processing system according to claim 4, further comprising a notification unit that notifies the outside when an amount of impurities supplied to the fuel cell is equal to or greater than a predetermined threshold corresponding to the vehicle type or the model. . The acquisition unit acquires the amount of fuel charged in the fuel cell vehicle and the date and time of filling measured in the fuel cell vehicle,
The analysis unit is configured to measure the degree of decrease in power generation capacity of the fuel cell according to the amount of impurities supplied to the fuel cell, and the amount of fuel charged in the fuel cell vehicle measured by the fuel cell vehicle. Based on the amount and the date and time of filling, the power generation capacity in the fuel cell is reduced by a predetermined threshold or more, and the date and time of filling is estimated.
The information processing system according to claim 1, wherein the information processing system is an information processing system. The online analyzer is
Supplied to the fuel cell vehicle measured by the online analyzer and the degree of decrease in power generation capacity of the fuel cell according to the amount of impurities supplied to the fuel cell analyzed by the information processing device A charging unit that determines the unit price of the fuel according to the content of impurities in the fuel and performs charging;
The information processing system according to any one of claims 1 to 6, further comprising: An acquisition unit for acquiring fuel cell vehicle and fuel cell information;
Impurity content analyzed by an on-line analyzer that analyzes the travel and fuel cell information, and the content of impurities in the fuel supplied to the fuel cell vehicle on a supply line, and the fuel cell vehicle Based on supply information including the amount of fuel measured by a meter that measures the amount of supplied fuel, the degree of decrease in power generation capability in the fuel cell is analyzed according to the amount of impurities supplied to the fuel cell. An analysis unit to
An information processing apparatus comprising: Computer
Obtaining fuel cell vehicle and fuel cell information; and
Impurity content analyzed by an on-line analyzer that analyzes the travel and fuel cell information, and the content of impurities in the fuel supplied to the fuel cell vehicle on a supply line, and the fuel cell vehicle Based on supply information including the amount of fuel measured by a meter that measures the amount of supplied fuel, the degree of decrease in power generation capability in the fuel cell is analyzed according to the amount of impurities supplied to the fuel cell. And steps to
Information processing method to execute. On the computer,
Obtaining fuel cell vehicle and fuel cell information; and
Impurity content analyzed by an on-line analyzer that analyzes the travel and fuel cell information, and the content of impurities in the fuel supplied to the fuel cell vehicle on a supply line, and the fuel cell vehicle Based on supply information including the amount of fuel measured by a meter that measures the amount of supplied fuel, the degree of decrease in power generation capability in the fuel cell is analyzed according to the amount of impurities supplied to the fuel cell. And steps to
A program that executes

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