Remote monitoring system for hydrogen fuel cells

Abstract

The present invention provides a remote monitoring system for hydrogen fuel cells, which predicts the amount of electricity required to complete the expected driving route of the car based on road traffic status information and historical electricity consumption records corresponding to the expected driving route of the car, and determines the electricity demand gap information corresponding to maintaining normal operation of the car in combination with the information on the external transmission of electricity from the car's energy storage device; further identifies all hydrogen fuel cell cells that can compensate for the electricity demand gap of the car based on the real-time power generation status information of all hydrogen fuel cell cells under the hydrogen fuel cell stack, thereby adjusting the gas supply status of the corresponding hydrogen fuel cell cells in a targeted manner and improving the power generation capacity of the battery cells; determines whether the corresponding hydrogen fuel cell cells are currently in a safe gas supply state based on the gas supply data during the gas supply state adjustment process, thereby adjusting the working state of the corresponding hydrogen fuel cell cells and issuing an alarm prompt to ensure the normal and stable operation of the battery cells.

Description

Technical Field

[0001] The present invention relates to the field of hydrogen fuel cells, and in particular to a remote monitoring system for hydrogen fuel cells. Background Art

[0002] Hydrogen fuel cells are clean and efficient, and are widely used as batteries for new energy vehicles. Hydrogen fuel cells react the hydrogen output from hydrogen storage containers with oxygen in the air, thereby converting the chemical energy generated by the reaction into electrical energy. In order to ensure stable and continuous power supply to new energy vehicles, multiple hydrogen fuel cell monomers are usually integrated to form a battery stack, which can meet the power demand of new energy vehicles and realize switchable power supply to new energy vehicles. In order to ensure that new energy vehicles can obtain effective power supply in different driving scenarios, it is necessary to conduct real-time and accurate remote monitoring of the hydrogen fuel cells under the new energy vehicles, adjust the working status of the hydrogen fuel cells in time, and issue alarm reminders. Summary of the invention

[0003] The purpose of the present invention is to provide a remote monitoring system for hydrogen fuel cells, which predicts the amount of electricity required to complete the expected driving route of the car based on the road traffic status information and historical electricity consumption records corresponding to the expected driving route of the car, and determines the electricity demand gap information corresponding to the normal operation of the car in combination with the power transmission information of the car's energy storage device, thereby providing a reliable basis for subsequent adjustment of the operation of the hydrogen fuel cell; it also identifies all hydrogen fuel cell cells that can compensate for the electricity demand gap of the car based on the real-time power generation status information of all hydrogen fuel cell cells under the hydrogen fuel cell stack, thereby adjusting the gas supply status of the corresponding hydrogen fuel cell cells in a targeted manner and improving the power generation capacity of the battery cells; based on the gas supply data during the gas supply status adjustment process, it determines whether the corresponding hydrogen fuel cell cells are currently in a safe gas supply state, thereby adjusting the working state of the corresponding hydrogen fuel cell cells and issuing alarm prompts to ensure the normal and stable operation of the battery cells.

[0004] The present invention is achieved through the following technical solutions:

[0005] The remote monitoring system of hydrogen fuel cells includes:

[0006] A driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car;

[0007] A driving power consumption prediction module, used to predict the power required for the vehicle to complete the expected driving route based on the road traffic status information and the historical power consumption record of the vehicle;

[0008] An electricity demand gap determination module, used to determine the electricity demand gap information corresponding to the normal operation of the vehicle according to the required electricity and the information on the external transmission of the electricity of the energy storage device of the vehicle;

[0009] A battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; and identify all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the real-time power generation status information;

[0010] A gas supply adjustment module, used to adjust the gas supply status of all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the power gap information;

[0011] A gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state;

[0012] The battery operation adjustment and early warning module is used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return the corresponding alarm prompt message to the control platform of the automobile.

[0013] Optionally, the driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car, including:

[0014] According to the expected driving path of the car, traffic big data corresponding to the expected driving path is obtained; the traffic big data is analyzed to determine the average traffic speed information on the road corresponding to the expected driving path.

[0015] Optionally, the driving power consumption prediction module is used to predict the power required for the vehicle to complete the expected driving route according to the road traffic status information and the historical power consumption record of the vehicle, including:

[0016] According to the average traffic speed information, predict the power consumption corresponding to the unit distance traveled by the vehicle in the current driving mode;

[0017] Determine the power transmission loss rate of the vehicle in the current driving mode according to the historical power consumption record of the vehicle; and then correct the power consumption corresponding to the driving unit distance according to the power transmission loss rate;

[0018] The amount of electricity required for the vehicle to complete the expected driving route is predicted based on the total distance length corresponding to the expected driving route and the corrected electricity consumption corresponding to the driving unit distance.

[0019] Optionally, before correcting the power consumption corresponding to the driving unit distance according to the power transmission loss rate, the method further includes determining the power consumption corresponding to the driving unit distance, specifically:

[0020] Step S1: Assume that the power consumption corresponding to the unit distance traveled when the ambient temperature is i in the current driving mode in the historical data is Q. i , then the influence coefficient of ambient temperature on power consumption is S i for:

[0021] S i =ai 2 +bi+c (1)

[0022] In the above formula (1), i is the temperature value, a, b, c are the power consumption of the driving unit corresponding to the ambient temperature i in the current driving mode in the historical data, which is Q i The regression coefficients obtained by multivariate regression of all historical records, where a is the quadratic term coefficient, its value is greater than 0, b is the linear term coefficient, its value is less than 0, and c is the constant term;

[0023] Step S2: regress the influencing factors affecting the power consumption corresponding to the predicted unit distance according to the historical data, and set the influencing coefficient of the jth factor after regression as S j , calculate the weight coefficient P of the jth influencing factor j , and its calculation formula is:

[0024]

[0025] In the above formula (2), P j is the weight coefficient of the jth influencing factor, F jm is the average power consumption per unit distance when the jth influencing factor changes to its value m, F j( m- 1) is the average power consumption per unit distance when the jth influencing factor changes to its value m-1, and M is the maximum value of the jth influencing factor in the historical data;

[0026] Step S3, calculating the power consumption Q corresponding to the unit distance traveled in the current driving mode under the current environment, and the calculation formula is:

[0027]

[0028] In the above formula (3), Q is the power consumption per unit distance in the current driving mode in the current environment, Q0 is the average power consumption per unit distance in the current driving mode closest to the current environment in the historical data, and J is the total number of influencing factors.

[0029] Optionally, the power demand gap determination module is used to determine the power demand gap information corresponding to maintaining normal operation of the vehicle according to the required power and the power outward transmission information of the energy storage device of the vehicle, including:

[0030] Acquire the power transmission data of the energy storage device of the vehicle to each of all the electrical devices inside the vehicle, analyze the power transmission data, and obtain the power transmission ratio information of the energy storage device to the motor of the vehicle; determine the total power information that the energy storage device can transmit to the motor according to the remaining output power of the energy storage device and the power transmission ratio information;

[0031] According to the required power and the total power information, power demand gap information corresponding to the normal operation of the motor of the vehicle is determined.

[0032] Optionally, the battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; and identify all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the real-time power generation status information, including:

[0033] Performing electrode potential detection on the proton exchange membranes of all hydrogen fuel cell monomers under the hydrogen fuel cell stack of the vehicle to obtain electrode potential change data of all proton exchange membranes; analyzing the electrode potential change data to obtain real-time power generation values ​​of all hydrogen fuel cell monomers; comparing the real-time power generation value with a preset power generation limit threshold; if the real-time power generation value is less than the preset power generation limit threshold, the corresponding hydrogen fuel cell monomer can compensate for the power demand gap of the vehicle.

[0034] Optionally, the gas supply adjustment module is used to adjust the gas supply status of all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the power gap information, including:

[0035] Determine the priority order of all corresponding hydrogen fuel cell units for compensating the power demand gap according to the order from large to small of the additional power values ​​that can be generated by all hydrogen fuel cell units that can compensate for the power demand gap of the vehicle;

[0036] According to the priority order and the power gap information, the hydrogen fuel cell monomers that currently need to adjust the gas supply status are screened; and then the pumping flow rates of hydrogen and air are increased and adjusted for the screened hydrogen fuel cell monomers.

[0037] Optionally, the gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state, including:

[0038] The hydrogen and air pumping flow data during the gas supply state adjustment process are obtained, and the hydrogen and air pumping flow data are analyzed to obtain the theoretical power generation value of the corresponding hydrogen fuel cell monomer under the current hydrogen and air pumping state; the theoretical power generation value is compared with the actual power generation value of the corresponding hydrogen fuel cell monomer, and if the actual power generation value is less than the theoretical power generation value, it is determined that the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state; otherwise, it is determined that the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state.

[0039] Optionally, the battery operation adjustment and warning module is used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return a corresponding alarm prompt message to the control platform of the vehicle, including:

[0040] When the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state, the current working state of the corresponding hydrogen fuel cell monomer is maintained unchanged; when the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state, the corresponding hydrogen fuel cell monomer is stopped from reacting to generate electricity and the gas supply and transmission are stopped, and an alarm prompt message containing the position information of the corresponding hydrogen fuel cell monomer inside the hydrogen fuel cell stack is returned to the control platform of the vehicle.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The remote monitoring system of the hydrogen fuel cell provided in the present application predicts the amount of electricity required to complete the expected driving route of the car based on the road traffic status information and historical electricity consumption records corresponding to the expected driving route of the car, and determines the electricity demand gap information corresponding to the normal operation of the car in combination with the power transmission information of the car's energy storage device, thereby providing a reliable basis for the subsequent adjustment of the operation of the hydrogen fuel cell; it also identifies all hydrogen fuel cell cells that can compensate for the electricity demand gap of the car based on the real-time power generation status information of all hydrogen fuel cell cells under the hydrogen fuel cell stack, thereby adjusting the gas supply status of the corresponding hydrogen fuel cell cells in a targeted manner and improving the power generation capacity of the battery cells; based on the gas supply data during the gas supply status adjustment process, it determines whether the corresponding hydrogen fuel cell cells are currently in a safe gas supply state, thereby adjusting the working state of the corresponding hydrogen fuel cell cells and issuing alarm prompts to ensure the normal and stable operation of the battery cells. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0044] Figure 1 This is a schematic diagram of the structure of the remote monitoring system for the hydrogen fuel cell provided by the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is understandable that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. According to the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0046] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0047] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] See also Figure 1 As shown, a remote monitoring system for a hydrogen fuel cell provided in one embodiment of the present application. The remote monitoring system for a hydrogen fuel cell includes:

[0049] A driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car;

[0050] A driving power consumption prediction module is used to predict the power required for the vehicle to complete the expected driving route based on the road traffic status information and the historical power consumption record of the vehicle;

[0051] The power demand gap determination module is used to determine the power demand gap information corresponding to the normal operation of the vehicle according to the required power and the power of the energy storage device of the vehicle.

[0052] The battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain the real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; based on the real-time power generation status information, identify all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle;

[0053] A gas supply adjustment module, used to adjust the gas supply status of all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the power gap information;

[0054] A gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state;

[0055] The battery operation adjustment and early warning module is used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return the corresponding alarm prompt message to the control platform of the car.

[0056] The beneficial effects of the above embodiments are as follows: the remote monitoring system of the hydrogen fuel cell predicts the amount of electricity required to complete the expected driving route of the car based on the road traffic status information and historical electricity consumption records corresponding to the expected driving route of the car, and determines the electricity demand gap information corresponding to the normal operation of the car in combination with the electricity transmission information of the car's energy storage device, thereby providing a reliable basis for the subsequent adjustment of the operation of the hydrogen fuel cell; it also identifies all hydrogen fuel cell cells that can compensate for the electricity demand gap of the car based on the real-time power generation status information of all hydrogen fuel cell cells under the hydrogen fuel cell stack, thereby adjusting the gas supply status of the corresponding hydrogen fuel cell cells in a targeted manner and improving the power generation capacity of the battery cells; based on the gas supply data during the gas supply status adjustment process, it determines whether the corresponding hydrogen fuel cell cells are currently in a safe gas supply state, thereby adjusting the working state of the corresponding hydrogen fuel cell cells and issuing alarm prompts to ensure the normal and stable operation of the battery cells.

[0057] In another embodiment, the driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car, including:

[0058] According to the expected driving path of the car, traffic big data corresponding to the expected driving path is obtained; the traffic big data is analyzed to determine the average traffic speed information on the road corresponding to the expected driving path.

[0059] The beneficial effect of the above embodiment is that the expected driving path corresponding to the car driving to the destination is determined based on the current location of the car and the expected destination location, and then the traffic big data of the roads along the expected driving path is obtained, and the traffic big data can be but not limited to the traffic big data obtained through remote sensing monitoring. Then the traffic big data is analyzed to determine the average traffic speed information on the road corresponding to the expected driving path, so that the speed of vehicles on the expected driving path can be accurately determined.

[0060] In another embodiment, the driving power consumption prediction module is used to predict the power required for the vehicle to complete the expected driving route according to the road traffic status information and the historical power consumption record of the vehicle, including:

[0061] According to the average traffic speed information, predict the power consumption corresponding to the unit distance traveled by the vehicle in the current driving mode;

[0062] According to the historical electricity consumption record of the vehicle, the power transmission loss rate of the vehicle in the current driving mode when transmitting electricity to the motor of the vehicle is determined; and then according to the power transmission loss rate, the power consumption corresponding to the driving unit distance is corrected;

[0063] The amount of electricity required for the vehicle to complete the expected driving route is predicted based on the total distance length corresponding to the expected driving route and the corrected electricity consumption corresponding to the driving unit distance.

[0064] The beneficial effect of the above embodiment is that the average traffic speed information is used as a reference to predict the power consumption required for each unit distance traveled by the car during the driving process under the current road traffic conditions. The motor of the car is powered by the energy storage device inside the car, and there will be a certain amount of transmission loss in the process of the energy storage device supplying power to the motor, so that the electric energy stored in the energy storage device cannot be completely transmitted to the motor. For this reason, according to the historical power consumption record of the car, the power transmission loss rate of the car in the current driving mode is determined, and then according to the power transmission loss rate, the power consumption required for each unit distance traveled is corrected, so that the actual power consumption of the car can be accurately determined. In addition, according to the total distance length corresponding to the expected driving path and the power consumption corresponding to the corrected driving unit distance, the power required for the car to complete the expected driving path is predicted, thereby providing a reliable basis for the subsequent determination of the power demand gap of the car.

[0065] In another embodiment, according to the power transmission loss rate, before correcting the power consumption corresponding to the driving unit distance, the method further includes determining the power consumption corresponding to the driving unit distance, specifically:

[0066] Step S1: Assume that the power consumption corresponding to the unit distance traveled when the ambient temperature is i in the current driving mode in the historical data is Q. i , then the influence coefficient of ambient temperature on power consumption is S i for:

[0067] S i =ai 2 +bi+c (1)

[0068] In the above formula (1), i is the temperature value, a, b, c are the power consumption of the driving unit corresponding to the ambient temperature i in the current driving mode in the historical data, which is Q i The regression coefficients obtained by multivariate regression of all historical records, where a is the quadratic term coefficient, its value is greater than 0, b is the linear term coefficient, its value is less than 0, and c is the constant term;

[0069] Step S2: regress the influencing factors affecting the power consumption corresponding to the predicted unit distance according to the historical data, and set the influencing coefficient of the jth factor after regression as S j , calculate the weight coefficient P of the jth influencing factor j , and its calculation formula is:

[0070]

[0071] In the above formula (2), P j is the weight coefficient of the jth influencing factor, F jm is the average power consumption per unit distance when the jth influencing factor changes to its value m, F j(m-1) is the average power consumption per unit distance when the jth influencing factor changes to its value m-1, and M is the maximum value of the jth influencing factor in the historical data;

[0072] Step S3, calculating the power consumption Q corresponding to the unit distance traveled in the current driving mode under the current environment, and the calculation formula is:

[0073]

[0074] In the above formula (3), Q is the power consumption per unit distance in the current driving mode in the current environment, Q0 is the average power consumption per unit distance in the current driving mode closest to the current environment in the historical data, and J is the total number of influencing factors.

[0075] The beneficial effect of the above embodiment is that the power consumption information of the driving unit distance under the current driving mode under various environmental parameters in the historical data is fitted and regressed to various environmental factors to obtain a fitting curve, and the weight coefficient of each environmental factor is obtained according to the degree of influence of the change of each environmental factor on the power consumption of the driving unit distance, and the power consumption corresponding to the driving unit distance under the current driving mode in the current environment is accurately predicted in combination with the average power consumption information corresponding to the driving unit distance under the current driving mode closest to the current environment in the historical data, which greatly reduces the influence of various factors such as hydrogen fuel cell temperature, ambient temperature, battery life and battery self-discharge rate on the estimated accuracy of the power consumption corresponding to the driving unit distance, thereby improving the estimated accuracy of the power consumption corresponding to the driving unit distance, and then improving the safety and reliability of the vehicle.

[0076] In another embodiment, the power demand gap determination module is used to determine the power demand gap information corresponding to maintaining normal operation of the vehicle according to the required power and the power transmission information of the energy storage device of the vehicle, including:

[0077] Obtaining the power transmission data of the energy storage device of the vehicle to each of the electrical devices inside the vehicle, analyzing the power transmission data, and obtaining the power transmission ratio information of the energy storage device to the motor of the vehicle; determining the total power information that the energy storage device can transmit to the motor according to the remaining output power of the energy storage device and the power transmission ratio information;

[0078] According to the required power and the total power information, the power demand gap information corresponding to the normal operation of the motor of the vehicle is determined.

[0079] The beneficial effect of the above embodiment is that in addition to the electric motor, the interior of the car also includes different types of electrical equipment such as air conditioners and lighting equipment, and all electrical equipment is powered by the car's energy storage device. Generally speaking, the energy storage device of the car transmits electricity to all electrical equipment including the electric motor according to a predetermined ratio. By obtaining the power transmission data of the energy storage device of the car for each of the electrical equipment inside the car, the power transmission data is analyzed to obtain the power transmission ratio information of the energy storage device to the motor of the car, and combined with the remaining output power of the energy storage device, the total power information that the energy storage device can transmit to the motor is determined, so as to accurately determine the amount of electric energy required by the motor. In addition, based on the power difference between the required power and the total power information, the power demand gap information corresponding to the normal operation of the motor of the car is determined, thereby providing an effective basis for the subsequent selection of hydrogen fuel cells that provide power compensation.

[0080] In another embodiment, the battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; based on the real-time power generation status information, identify all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle, including:

[0081] The electrode potential of the proton exchange membrane of all the hydrogen fuel cell monomers under the hydrogen fuel cell stack of the vehicle is detected to obtain electrode potential change data of all the proton exchange membranes; the electrode potential change data is analyzed to obtain real-time power generation values ​​of all the hydrogen fuel cell monomers; the real-time power generation value is compared with a preset power generation limit threshold value; if the real-time power generation value is less than the preset power generation limit threshold value, the corresponding hydrogen fuel cell monomer can compensate for the power demand gap of the vehicle.

[0082] The beneficial effect of the above-mentioned embodiment is that the electrode potential of the proton exchange membrane inside the hydrogen fuel cell monomer and the actual power generation power of the hydrogen fuel cell monomer are interrelated. The electrode potential change data of the proton exchange membrane of all hydrogen fuel cell monomers under the hydrogen fuel cell stack of the vehicle are detected and analyzed to obtain the real-time power generation power value of all hydrogen fuel cell monomers. The real-time power generation power value is compared with the threshold value, which can determine whether each hydrogen fuel cell monomer can compensate for the power demand gap of the vehicle, thereby adjusting the gas supply status of the corresponding hydrogen fuel cell monomer in a targeted manner.

[0083] In another embodiment, the gas supply adjustment module is used to adjust the gas supply state of all hydrogen fuel cell units that can compensate for the power demand gap of the vehicle according to the power gap information, including:

[0084] Determine the priority order of all the corresponding hydrogen fuel cell units for compensating the power demand gap according to the order from large to small of the additional power values ​​that can be generated by all the hydrogen fuel cell units that can compensate for the power demand gap of the vehicle;

[0085] According to the priority order and the power gap information, the hydrogen fuel cell monomers that currently need to adjust the gas supply status are screened; and then the pumping flow rates of hydrogen and air are increased and adjusted for the screened hydrogen fuel cell monomers.

[0086] The beneficial effect of the above embodiment is that the priority of all corresponding hydrogen fuel cell monomers for compensating the power demand gap is determined according to the order from large to small of the additional power values ​​that can be generated by all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle, that is, the larger the additional power value that can be generated by the hydrogen fuel cell monomer, the higher its priority for compensating the power demand gap. Then, based on the priority order and the power gap information, the hydrogen fuel cell monomers that currently need to adjust the gas supply state are screened, so as to increase the pumping flow of hydrogen and air for the screened hydrogen fuel cell monomers, which can effectively increase the power generation capacity of the corresponding hydrogen fuel cell monomers.

[0087] In another embodiment, the gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state, including:

[0088] The hydrogen and air pumping flow data during the gas supply state adjustment process is obtained, and the hydrogen and air pumping flow data are analyzed to obtain a theoretical power generation value of the corresponding hydrogen fuel cell monomer under the current hydrogen and air pumping state; the theoretical power generation value is compared with an actual power generation value of the corresponding hydrogen fuel cell monomer; if the actual power generation value is less than the theoretical power generation value, it is determined that the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state; otherwise, it is determined that the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state.

[0089] The beneficial effects of the above-mentioned embodiments include acquiring and analyzing the hydrogen and air pumping flow data during the gas supply state adjustment process, obtaining the theoretical power generation value of the corresponding hydrogen fuel cell monomer under the current hydrogen and air pumping state, and comparing the theoretical power generation value with the actual power generation value of the corresponding hydrogen fuel cell monomer, so as to accurately determine whether the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state, and timely and accurately identify the working safety of the corresponding hydrogen fuel cell monomer.

[0090] In another embodiment, the battery operation adjustment and warning module is used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return a corresponding alarm prompt message to the control platform of the car, including:

[0091] When the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state, the current working state of the corresponding hydrogen fuel cell monomer is maintained unchanged; when the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state, the corresponding hydrogen fuel cell monomer is stopped from reacting to generate electricity and the gas supply and transmission are stopped, and an alarm prompt message containing the position information of the corresponding hydrogen fuel cell monomer inside the hydrogen fuel cell stack is returned to the control platform of the vehicle.

[0092] The beneficial effect of the above embodiment is that, through the above method, when the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state, the current working state of the corresponding hydrogen fuel cell monomer is kept unchanged; when the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state, the corresponding hydrogen fuel cell monomer is stopped from reacting to generate electricity and the gas supply and transmission are stopped, effectively ensuring the precise adjustment of the working state of the corresponding hydrogen fuel cell monomer and the alarm prompt, thereby ensuring the normal and stable operation of the hydrogen fuel cell battery monomer.

[0093] In general, the remote monitoring system of the hydrogen fuel cell predicts the amount of electricity required to complete the expected driving route of the car based on the road traffic status information and historical electricity consumption records corresponding to the expected driving route of the car, and determines the electricity demand gap information corresponding to the normal operation of the car in combination with the power transmission information of the car's energy storage device, providing a reliable basis for the subsequent adjustment of the operation of the hydrogen fuel cell; it also identifies all hydrogen fuel cell cells that can compensate for the electricity demand gap of the car based on the real-time power generation status information of all hydrogen fuel cell cells under the hydrogen fuel cell stack, so as to adjust the gas supply status of the corresponding hydrogen fuel cell cells in a targeted manner and improve the power generation capacity of the battery cells; based on the gas supply data during the gas supply status adjustment process, it determines whether the corresponding hydrogen fuel cell cell is currently in a safe gas supply state, so as to adjust the working state of the corresponding hydrogen fuel cell cell and issue an alarm prompt to ensure the normal and stable operation of the battery cell.

[0094] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims

1. A remote monitoring system for a hydrogen fuel cell, characterized in that: include: A driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car; A driving power consumption prediction module, used to predict the power required for the vehicle to complete the expected driving route based on the road traffic status information and the historical power consumption record of the vehicle; An electricity demand gap determination module, used to determine the electricity demand gap information corresponding to the normal operation of the vehicle according to the required electricity and the information on the external transmission of the electricity of the energy storage device of the vehicle; A battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; and identify all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the real-time power generation status information; A gas supply adjustment module, used to adjust the gas supply status of all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the power demand gap information; A gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state; A battery operation adjustment and early warning module, used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return a corresponding alarm prompt message to the control platform of the vehicle; The battery operation detection module is used to detect the hydrogen fuel cell stack of the vehicle to obtain real-time power generation status information of all hydrogen fuel cell monomers under the hydrogen fuel cell stack; According to the real-time power generation status information, all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle are identified, including: Performing electrode potential detection on the proton exchange membranes of all hydrogen fuel cell monomers under the hydrogen fuel cell stack of the vehicle to obtain electrode potential change data of all proton exchange membranes; analyzing the electrode potential change data to obtain real-time power generation values ​​of all hydrogen fuel cell monomers; comparing the real-time power generation value with a preset power generation limit threshold, if the real-time power generation value is less than the preset power generation limit threshold, the corresponding hydrogen fuel cell monomer can compensate for the power demand gap of the vehicle; The gas supply adjustment module is used to adjust the gas supply status of all hydrogen fuel cell monomers that can compensate for the power demand gap of the vehicle according to the power demand gap information, including: Determine the priority order of all corresponding hydrogen fuel cell units for compensating the power demand gap according to the order from large to small of the additional power values ​​that can be generated by all hydrogen fuel cell units that can compensate for the power demand gap of the vehicle; According to the priority order and the power demand gap information, the hydrogen fuel cell monomers that currently need to adjust the gas supply status are screened; and then the pumping flow rates of hydrogen and air are increased and adjusted for the screened hydrogen fuel cell monomers.

2. The remote monitoring system for a hydrogen fuel cell according to claim 1, characterized in that: The driving environment detection module is used to obtain road traffic status information corresponding to the expected driving path of the car, including: According to the expected driving path of the car, traffic big data corresponding to the expected driving path is obtained; the traffic big data is analyzed to determine the average traffic speed information on the road corresponding to the expected driving path.

3. The remote monitoring system for a hydrogen fuel cell according to claim 2, characterized in that: The driving power consumption prediction module is used to predict the power required for the vehicle to complete the expected driving route according to the road traffic status information and the historical power consumption record of the vehicle, including: According to the average traffic speed information, predict the power consumption corresponding to the unit distance traveled by the vehicle in the current driving mode; Determine the power transmission loss rate of the vehicle in the current driving mode according to the historical power consumption record of the vehicle; and then correct the power consumption corresponding to the driving unit distance according to the power transmission loss rate; The amount of electricity required for the vehicle to complete the expected driving route is predicted based on the total distance length corresponding to the expected driving route and the corrected electricity consumption corresponding to the driving unit distance.

4. The remote monitoring system for a hydrogen fuel cell according to claim 3, characterized in that: Before correcting the power consumption corresponding to the driving unit distance according to the power transmission loss rate, the method further includes determining the power consumption corresponding to the driving unit distance, specifically: Step S1: Assume that the power consumption corresponding to the unit distance traveled when the ambient temperature is i in the current driving mode in the historical data is , then the influence coefficient of ambient temperature on power consumption is for: （1） In the above formula (1), i is the temperature value, a, b, and c are the power consumption corresponding to the driving unit when the ambient temperature is i in the current driving mode in the historical data. The regression coefficients obtained by multivariate regression of all historical records, where a is the quadratic term coefficient, its value is greater than 0, b is the linear term coefficient, its value is less than 0, and c is the constant term; Step S2: regress the influencing factors affecting the power consumption corresponding to the predicted unit distance according to the historical data, and set the influencing coefficient of the jth factor after regression as , calculate the weight coefficient of the jth influencing factor , and its calculation formula is: （2） In the above formula (2), is the weight coefficient of the jth influencing factor, is the average power consumption per unit distance when the jth influencing factor changes to its value m, is the average power consumption per unit distance when the jth influencing factor changes to its value m-1, and M is the maximum value of the jth influencing factor in the historical data; Step S3, calculating the power consumption Q corresponding to the unit distance traveled in the current driving mode under the current environment, and the calculation formula is: （3） In the above formula (3), Q is the power consumption corresponding to the unit distance traveled in the current driving mode under the current environment. is the average power consumption per unit distance in the current driving mode that is closest to the current environment in the historical data, and J is the total number of influencing factors.

5. The remote monitoring system for a hydrogen fuel cell according to claim 1, characterized in that: The power demand gap determination module is used to determine the power demand gap information corresponding to the normal operation of the vehicle according to the required power and the power transmission information of the energy storage device of the vehicle, including: Acquire the power transmission data of the energy storage device of the vehicle to each of all the electrical devices inside the vehicle, analyze the power transmission data, and obtain the power transmission ratio information of the energy storage device to the motor of the vehicle; determine the total power information that the energy storage device can transmit to the motor according to the remaining output power of the energy storage device and the power transmission ratio information; According to the required power and the total power information, power demand gap information corresponding to the normal operation of the motor of the vehicle is determined.

6. The remote monitoring system for a hydrogen fuel cell according to claim 1, characterized in that: The gas supply state identification module is used to obtain gas supply data during the gas supply state adjustment process, and analyze the gas supply data to determine whether the corresponding hydrogen fuel cell monomer is currently in a safe gas supply state, including: The hydrogen and air pumping flow data during the gas supply state adjustment process are obtained, and the hydrogen and air pumping flow data are analyzed to obtain the theoretical power generation value of the corresponding hydrogen fuel cell monomer under the current hydrogen and air pumping state; the theoretical power generation value is compared with the actual power generation value of the corresponding hydrogen fuel cell monomer, and if the actual power generation value is less than the theoretical power generation value, it is determined that the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state; otherwise, it is determined that the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state.

7. The remote monitoring system for a hydrogen fuel cell according to claim 6, characterized in that: The battery operation adjustment and warning module is used to adjust the operation state of the corresponding hydrogen fuel cell monomer according to the judgment result of the safe gas supply state, and return the corresponding alarm prompt message to the control platform of the vehicle, including: When the corresponding hydrogen fuel cell monomer is not currently in a gas supply leakage state, the current working state of the corresponding hydrogen fuel cell monomer is maintained unchanged; when the corresponding hydrogen fuel cell monomer is currently in a gas supply leakage state, the corresponding hydrogen fuel cell monomer is stopped from reacting to generate electricity and the gas supply and transmission are stopped, and an alarm prompt message containing the position information of the corresponding hydrogen fuel cell monomer inside the hydrogen fuel cell stack is returned to the control platform of the vehicle.

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