Health management method and device for fuel cell engine system, and electric vehicle

Abstract

The present invention discloses a health management method and device for a fuel cell engine system and an electric vehicle. The fuel cell engine system includes a fuel cell and a fuel cell BOP. The method comprises: obtaining operating condition information and environmental information of the fuel cell engine system; determining a decay prediction curve for the fuel cell engine system based on the operating condition information and / or environmental information, wherein the decay prediction curve includes a decay prediction curve for the fuel cell and a decay prediction curve for the fuel cell BOP; predicting the remaining life of the fuel cell based on the operating condition information, environmental information, and the decay prediction curve for the fuel cell, and predicting the remaining life of the fuel cell BOP based on the operating condition information and the decay prediction curve for the fuel cell BOP; and providing maintenance prompts based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP. This method can improve the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP, as well as the accuracy of the maintenance prompts.

Description

Technical Field

[0001] The present invention relates to the technical field of battery vehicles, and in particular to a health management method for a fuel cell engine system, a health management device for a fuel cell engine system, and an electric vehicle. Background Art

[0002] In related technologies, the fuel cell engine health management system has a single function and can only evaluate the engine health status through three methods: fault repair, preventive maintenance, and repair based on the current status. However, the operation process of the fuel cell engine is dynamic, and the operating data is mostly collected by sensors with high dimensionality, time series, and nonlinear characteristics. Based on the above analysis, these three methods can only predict the health status of the battery stack, and there will be large errors when predicting the remaining life of the battery stack based on the health status.

[0003] The definition of a fuel cell engine health management system is the ratio of the current state to the ideal initial state. It is generally believed that the fuel cell is in a 100% healthy state when it leaves the factory, and its health state continues to decline with the increase in usage time. Related technologies can only estimate the health state of the fuel cell through physical parameters such as impedance and voltage. This method can only complete the estimation through the operating state. However, the fuel cell engine changes dynamically. For example, when a fuel cell is flooded, the impedance, voltage and other physical parameters will drop significantly. When the fault is eliminated, the impedance, voltage and other physical parameters will return to their previous state. If the health state is estimated by collecting impedance and voltage values, it will be difficult and the error will be large.

[0004] In addition to the above, the fuel cell health management system does not take into account the health management of the fuel cell BOP (the components other than the fuel cell stack are collectively referred to as BOP). The performance degradation of the fuel cell BOP will also affect the service life of the fuel cell stack to varying degrees. However, at present, the fuel cell BOP is only repaired or replaced after a failure occurs, and the health status of the fuel cell BOP cannot be used to remind users to perform preventive maintenance. Summary of the Invention

[0005] The present invention aims to at least partially address one of the technical problems in the related art. To this end, a first object of the present invention is to provide a fuel cell engine system health management method that improves the accuracy of predicted remaining life of the fuel cell and the remaining life of the fuel cell back-operating part (BOP), and improves the accuracy of maintenance reminders for the fuel cell and fuel cell BOP.

[0006] A second objective of the present invention is to provide a health management device for a fuel cell engine system.

[0007] A third object of the present invention is to provide an electric vehicle.

[0008] In order to achieve the above-mentioned purpose, an embodiment of the first aspect of the present invention proposes a health management method for a fuel cell engine system, wherein the fuel cell engine system includes a fuel cell and a fuel cell BOP, and the method includes: obtaining operating condition information and environmental information of the fuel cell engine system; determining an attenuation prediction curve of the fuel cell engine system based on the operating condition information and / or the environmental information, the attenuation prediction curve including an attenuation prediction curve of the fuel cell and an attenuation prediction curve of the fuel cell BOP; predicting the remaining life of the fuel cell based on the operating condition information, the environmental information and the attenuation prediction curve of the fuel cell, and predicting the remaining life of the fuel cell BOP based on the operating condition information and the attenuation prediction curve of the fuel cell BOP; and providing maintenance prompts based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP.

[0009] The health management method for a fuel cell engine system according to an embodiment of the present invention can improve the accuracy of predicted remaining life of a fuel cell and a fuel cell BOP, and improve the accuracy of maintenance prompts for the fuel cell and the fuel cell BOP.

[0010] In addition, the health management method of the fuel cell engine system according to the above embodiment of the present invention may further include the following additional technical features:

[0011] According to one embodiment of the present invention, the method further includes: obtaining a correction coefficient of the fuel cell engine system; and correcting the attenuation prediction curve of the fuel cell and the attenuation prediction curve of the fuel cell BOP according to the correction coefficient.

[0012] According to one embodiment of the present invention, the operating condition information includes the operating time of the engine, the current output state of the engine, the operating data of the fuel cell BOP and the operating time of the fuel cell BOP, and the environmental information includes gas concentration information and dust concentration information.

[0013] According to one embodiment of the present invention, predicting the remaining life of the fuel cell based on the operating condition information, the environmental information and the attenuation prediction curve of the fuel cell includes: when it is determined that the fuel cell engine system is in a first preset environment based on the gas concentration information and the dust concentration information, predicting the remaining life of the fuel cell from the attenuation prediction curve based on the operating time of the engine.

[0014] According to one embodiment of the present invention, determining the attenuation prediction curve of the fuel cell engine system based on the operating condition information and / or the environmental information includes: when it is determined that the fuel cell engine system is in a second preset environment based on the gas concentration information, determining the attenuation prediction curve of the fuel cell engine system from a plurality of first preset attenuation prediction curves based on the current output state of the engine, wherein the plurality of first preset attenuation prediction curves are simulated and stored in advance based on the simulation data of the operating condition information and the simulation data of the environmental information.

[0015] According to one embodiment of the present invention, predicting the remaining life of the fuel cell based on the operating condition information, the environmental information and the attenuation prediction curve of the fuel cell includes: in the second preset environment, predicting the remaining life of the fuel cell from the attenuation prediction curve based on the operating time of the engine.

[0016] According to one embodiment of the present invention, determining the attenuation prediction curve of the fuel cell engine system based on the operating condition information and / or the environmental information includes: when it is determined that the fuel cell engine system is in a third preset environment based on the gas concentration information and the dust concentration information, determining the attenuation prediction curve of the fuel cell engine system from a plurality of second preset attenuation prediction curves based on the operating time of the engine in the third preset environment, wherein the plurality of second preset attenuation prediction curves are simulated and stored in advance based on the simulation data of the operating condition information and the simulation data of the environmental information.

[0017] According to one embodiment of the present invention, predicting the remaining life of the fuel cell based on the operating condition information, the environmental information and the attenuation prediction curve of the fuel cell includes: in the third preset environment, predicting the remaining life of the fuel cell from the attenuation prediction curve based on the engine operating time, the gas concentration information and the dust concentration information.

[0018] In order to achieve the above-mentioned purpose, the second embodiment of the present invention proposes a health management device for a fuel cell engine system, wherein the fuel cell engine system includes a fuel cell and a fuel cell BOP, and the device includes: an acquisition module for acquiring the operating condition information and environmental information of the fuel cell engine system; a determination module for determining the attenuation prediction curve of the fuel cell engine system based on the operating condition information and / or the environmental information, the attenuation prediction curve including the attenuation prediction curve of the fuel cell and the attenuation prediction curve of the fuel cell BOP; a prediction module for predicting the remaining life of the fuel cell based on the operating condition information, the environmental information and the attenuation prediction curve of the fuel cell, and predicting the remaining life of the fuel cell BOP based on the operating condition information and the attenuation prediction curve of the fuel cell BOP; a control module for providing maintenance prompts based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP.

[0019] The health management device for a fuel cell engine system according to an embodiment of the present invention can improve the accuracy of predicted remaining life of a fuel cell and a fuel cell BOP, and improve the accuracy of maintenance prompts for the fuel cell and the fuel cell BOP.

[0020] To achieve the above-mentioned objectives, a third embodiment of the present invention provides an electric vehicle comprising a fuel cell engine system, wherein the fuel cell engine system is health-managed by the health management device for the fuel cell engine system according to the aforementioned embodiment of the present invention.

[0021] According to the electric vehicle of the embodiment of the present invention, by adopting the fuel cell engine system, the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP can be improved, and the accuracy of the maintenance prompts of the fuel cell and the fuel cell BOP can be improved.

[0022] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of a method for health management of a fuel cell engine system according to one embodiment of the present invention;

[0024] Figure 2 is a flow chart of a method for health management of a fuel cell engine system according to another embodiment of the present invention;

[0025] Figure 3 is a control strategy diagram of a health management method for a fuel cell engine system according to one embodiment of the present invention;

[0026] Figure 4 is a control strategy diagram of a health management method for a fuel cell engine system according to another embodiment of the present invention;

[0027] Figure 5 is a control strategy diagram of a health management method for a fuel cell engine system according to another embodiment of the present invention;

[0028] Figure 6 is a control strategy diagram of a health management method for a fuel cell engine system according to another embodiment of the present invention;

[0029] Figure 7 is a logical overview of a health management method for a fuel cell engine system according to an embodiment of the present invention;

[0030] Figure 8 is a block diagram of a health management device for a fuel cell engine system according to an embodiment of the present invention;

[0031] Figure 9 is a block diagram of a fuel cell engine system according to an embodiment of the present invention;

[0032] Figure 10 is a block diagram of an electric vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0034] The following describes a fuel cell engine system health management method, a computer-readable storage medium, a fuel cell engine system health management device, a fuel cell engine system, and an electric vehicle according to embodiments of the present invention with reference to the accompanying drawings.

[0035] Figure 1 FIG. 4 is a flow chart of a method for health management of a fuel cell engine system according to an embodiment of the present invention.

[0036] Specifically, in some embodiments of the present invention, the fuel cell engine system includes a fuel cell and a fuel cell BOP (Balance Of Plant, auxiliary equipment), such as Figure 1 As shown, the health management method of the fuel cell engine system includes:

[0037] S101, obtaining operating condition information and surrounding environment information of the fuel cell engine system.

[0038] Specifically, in this embodiment, the operating condition information includes the engine's operating time, the engine's current output state, the fuel cell BOP's operating data, and the fuel cell BOP's operating time. The environmental information includes gas concentration information and dust concentration information. The engine's operating time and the fuel cell BOP's operating time can be obtained by a timer, the engine's current output state and the fuel cell BOP's operating data can be obtained by a data recording device, and the gas concentration information and dust concentration information can be obtained by a sensor. In addition, the present invention does not specifically limit the method for obtaining the engine's operating time, the engine's current output state, the fuel cell BOP's operating data, the fuel cell BOP's operating time, the gas concentration information, and the dust concentration information. The sensors include toxic and hazardous gas detection sensors and metal particle analysis sensors. In addition, the present invention does not specifically limit the type of sensor.

[0039] It should be noted that the fuel cell BOP includes components such as an air compressor, a hydrogen pump, a throttle, and an ejector. In addition, the present invention does not specifically limit the types of components included in the fuel cell BOP.

[0040] S102 , determining a decay prediction curve of the fuel cell engine system according to operating condition information and / or environmental information, where the decay prediction curve includes a decay prediction curve of the fuel cell and a decay prediction curve of the fuel cell BOP.

[0041] Specifically, in this embodiment, the operating condition information includes the engine operating time, the current output state of the engine, the operating data of the fuel cell BOP and the operating time of the fuel cell BOP, and the environmental information includes gas concentration information and dust concentration information. The attenuation prediction curve of the fuel cell engine system can be determined based on the engine operating time, the current output state of the engine, the operating data of the fuel cell BOP, the operating time of the fuel cell BOP and / or the gas concentration information and dust concentration information, wherein the attenuation prediction curve of the fuel cell engine system is stored in the storage module, and the attenuation prediction curve includes the attenuation prediction curve of the fuel cell and the attenuation prediction curve of the fuel cell BOP.

[0042] S103 , predicting the remaining life of the fuel cell based on the operating condition information, the environmental information, and the fuel cell attenuation prediction curve, and predicting the remaining life of the fuel cell BOP based on the operating condition information and the fuel cell BOP attenuation prediction curve.

[0043] Specifically, in this embodiment, the remaining life of the fuel cell is predicted based on the engine operating time, the current output state of the engine, the operating data of the fuel cell BOP, the operating time of the fuel cell BOP, gas concentration information, dust concentration information and the attenuation prediction curve of the fuel cell, and the remaining life of the fuel cell BOP is predicted based on the engine operating time, the current output state of the engine, the operating data of the fuel cell BOP, the operating time of the fuel cell BOP and the attenuation prediction curve of the fuel cell BOP.

[0044] S104: Prompt maintenance based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP.

[0045] Specifically, in this embodiment, when it is determined that the remaining life of the discharge battery and the remaining life of the fuel cell BOP are lower than the preset life threshold, a maintenance reminder is given for the remaining life, for example, sound and light reminders, text reminders, and graphic reminders, etc. In addition, the present invention does not specifically limit the method of maintenance reminders.

[0046] It should be noted that the remaining life of the fuel cell and fuel cell BOP is 100% upon shipment. As usage increases, the remaining life of the fuel cell and fuel cell BOP gradually decreases. When the preset life threshold reaches 20%, a maintenance reminder is issued when the remaining life of the fuel cell or fuel cell BOP is less than 20%. Furthermore, the present invention does not impose specific limitations on the value of the preset life threshold; the preset life threshold may be 80%, 60%, 40%, or other values.

[0047] Furthermore, in some embodiments of the present invention, Figure 2 As shown, the health management method of the fuel cell engine system further includes:

[0048] S201, obtaining a correction coefficient of a fuel cell engine system.

[0049] Specifically, in this embodiment, the correction coefficient of the fuel cell engine system may be obtained through experiments or simulations. In addition, the present invention may not specifically limit the method for obtaining the correction coefficient of the fuel cell engine system.

[0050] S202 , correcting the fuel cell attenuation prediction curve and the fuel cell BOP attenuation prediction curve according to the correction coefficient.

[0051] Specifically, in this embodiment, parameters associated with the original fuel cell attenuation prediction curve can be multiplied by a correction coefficient to correct the fuel cell attenuation prediction curve. Data associated with the original fuel cell BOP attenuation prediction curve can be multiplied by the correction coefficient to correct the fuel cell BOP attenuation prediction curve. Furthermore, the present invention does not necessarily limit the manner in which the fuel cell attenuation prediction curve and the fuel cell BOP attenuation prediction curve are corrected based on the correction coefficient.

[0052] Furthermore, in some embodiments of the present invention, the remaining life of the fuel cell is predicted based on operating condition information, environmental information and the attenuation prediction curve of the fuel cell, including: when it is determined that the fuel cell engine system is in a first preset environment based on gas concentration information and dust concentration information, predicting the remaining life of the fuel cell from the attenuation prediction curve based on the engine's operating time.

[0053] Specifically, in this embodiment, Figure 3 As shown, the first preset environment is a normal road environment. Environmental detection can be performed by the VCU (Vehicle Control Unit). When the fuel cell engine gas is determined to be in the first preset environment based on gas concentration information and dust concentration information, the remaining life of the fuel cell is predicted from the decay prediction curve based on the engine's operating time. For example, the engine's operating time is the abscissa of the decay prediction curve, and the remaining life of the fuel cell is the ordinate of the decay prediction curve. Furthermore, the present invention does not specifically limit the method for predicting the remaining life of the fuel cell from the decay prediction curve based on the engine's operating time.

[0054] It should be noted that if Figure 3 As shown, when the fuel cell engine system is in the first preset environment, after the FCU (Fuel cell Control Unit) is awakened, the fuel cell engine system will first read the operating condition information and environmental information stored in the storage module before the last FCU power-off, and the predicted attenuation module will perform a stack attenuation prediction table lookup based on the operating condition information and environmental information to obtain trends such as voltage attenuation trend, power attenuation trend and impedance attenuation trend, and then determine the attenuation prediction curve of the fuel cell engine system, thereby calculating the remaining life of the fuel cell based on the engine operating time and the attenuation prediction curve of the fuel cell engine system.

[0055] Among them, the operating condition information includes the current output state of the engine, and the current output state of the engine includes data such as the power, current, voltage, impedance and resistance of the fuel cell engine. When the engine is running, the acquisition module will read the power, current, voltage, impedance and resistance of the fuel cell engine in real time, and update the operating condition information in the storage module based on these data. Then, the predicted attenuation module can perform a stack attenuation prediction table lookup based on the updated operating condition information and the environmental information to determine the attenuation prediction curve of the fuel cell engine system, and then calculate the remaining life of the fuel cell based on the engine running time and the attenuation prediction curve of the fuel cell engine system, and store the remaining life of the fuel cell in the storage module. Then, the VCU obtains the data in the storage module and uploads it to the cloud. Among them, the remaining life of the fuel cell is updated in real time during the operation of the engine.

[0056] After calculating the remaining life of the fuel cell, if it is judged that the remaining life of the fuel cell is low, the user needs to be prompted to perform maintenance and store the corresponding data in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0057] If the power, current, voltage, impedance, and resistance data acquired by the acquisition module determine that the fuel cell engine is in a faulty state, that is, if the fault analysis module determines that the fuel cell engine is in a flooding fault, a gas failure fault, or an insulation fault, the duration of the fault is obtained. Based on the engine's operating time, the fault dwell time, and the fuel cell engine system's attenuation prediction curve, a decay prediction is performed to calculate the remaining life of the fuel cell. After calculating the remaining life of the fuel cell, the remaining life of the fuel cell is stored in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0058] Furthermore, in some embodiments of the present invention, determining a decay prediction curve for a fuel cell engine system based on operating condition information and / or environmental information includes: when determining that the fuel cell engine system is in a second preset environment based on gas concentration information, determining the decay prediction curve for the fuel cell engine system from a plurality of first preset decay prediction curves based on the current output state of the engine, wherein the plurality of first preset decay prediction curves are simulated and stored in advance based on simulation data of the operating condition information and simulation data of the environmental information. Predicting the remaining life of the fuel cell based on the operating condition information, environmental information, and the decay prediction curve of the fuel cell includes: predicting the remaining life of the fuel cell from the decay prediction curve based on the operating time of the engine in the second preset environment.

[0059] Specifically, in this embodiment, the second preset environment is a high-altitude environment, and environmental detection can be performed through the VCU. When the fuel cell engine system is determined to be in the second preset environment based on the gas concentration information, the predicted attenuation module determines the attenuation prediction curve of the fuel cell engine system from multiple first preset attenuation prediction curves based on the current output state of the engine, wherein the multiple first preset attenuation prediction curves are simulated in advance based on the simulation data of the operating condition information and the simulation data of the environmental information and stored in the storage module, and the first preset attenuation prediction curves obtained by simulating the simulation data of different operating condition information and the simulation data of different environmental information are different.

[0060] Furthermore, the calculation module can predict the remaining life of the fuel cell from the decay prediction curve based on the engine's operating time. For example, the engine's operating time is the abscissa of the decay prediction curve, and the remaining life of the fuel cell is the ordinate of the decay prediction curve. Furthermore, the present invention does not impose specific limitations on the method for predicting the remaining life of the fuel cell from the decay prediction curve based on the engine's operating time.

[0061] It should be noted that if Figure 4 As shown, when the VCU performs environmental detection and determines that the fuel cell engine system is in a high-altitude environment, the operating condition information and environmental information detected by the VCU are stored in the storage module. At the same time, the VCU calculates the current altitude through the data obtained by the low-pressure sensor to adjust the excess coefficient of the air compressor. At the same time, the fuel cell engine health management system switches to the high-altitude health management mode of the fuel cell engine.

[0062] Among them, the operating condition information includes the current output state of the engine, which includes data such as the power, current, voltage, impedance and resistance of the fuel cell engine. When the engine is running, the acquisition module will read the power, current, voltage, impedance and resistance of the fuel cell engine in real time. The acquisition module will send this data to the prediction attenuation module, and then the prediction attenuation module will perform a stack attenuation prediction table lookup based on the operating condition information and the environmental information to obtain trends such as voltage attenuation trend, power attenuation trend and impedance attenuation trend, and then determine the first preset attenuation prediction curve. The calculation module will calculate the remaining life of the fuel cell based on the first preset attenuation prediction curve, the engine's operating time and the plateau environment attenuation coefficient. The remaining life of the fuel cell is stored in the storage module, and then the VCU obtains the data in the storage module and uploads it to the cloud.

[0063] After calculating the remaining life of the fuel cell, if it is judged that the remaining life of the fuel cell is low, the user needs to be prompted to perform maintenance and store the corresponding data in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0064] If the altitude continues to rise, the power attenuation of the fuel cell engine is determined based on the power, current, voltage, impedance, and resistance data acquired by the acquisition module, and if it is in a fault state, that is, if the fault analysis module determines that the fuel cell engine is in a flooding fault, a gas failure fault, or an insulation fault, the duration of the fault is obtained. Then, based on the engine's operating time, the fault dwell time, and the first preset attenuation prediction curve of the fuel cell engine system, an attenuation prediction is performed. The remaining life of the fuel cell is calculated based on the influence of the plateau attenuation coefficient. After calculating the remaining life of the fuel cell, the remaining life of the fuel cell is stored in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0065] Furthermore, in some embodiments of the present invention, determining a decay prediction curve for a fuel cell engine system based on operating condition information and / or environmental information includes: when determining that the fuel cell engine system is in a third preset environment based on gas concentration information and dust concentration information, determining the decay prediction curve for the fuel cell engine system from a plurality of second preset decay prediction curves based on the engine's operating time in the third preset environment, wherein the plurality of second preset decay prediction curves are simulated and stored in advance based on simulation data of the operating condition information and simulation data of the environmental information. Predicting the remaining life of the fuel cell based on the operating condition information, environmental information, and the decay prediction curve of the fuel cell includes: predicting the remaining life of the fuel cell from the decay prediction curve based on the engine's operating time, gas concentration information, and dust concentration information in the third preset environment.

[0066] Specifically, in this embodiment, the third environment is an abnormal environment, wherein the abnormal environment includes a toxic environment and a solid particle environment, and environmental detection can be performed through the VCU. When it is determined that the fuel cell engine system is in the third preset environment based on the gas concentration information and the dust concentration information, the prediction attenuation module determines the attenuation prediction curve of the fuel cell engine system from a plurality of second preset attenuation prediction curves based on the running time of the engine in the third preset environment, wherein the plurality of second preset attenuation prediction curves are simulated in advance based on the simulation data of the operating condition information and the simulation data of the environmental information and stored in the storage module, and the second preset attenuation prediction curves obtained by simulating the simulation data of different operating condition information and the simulation data of different environmental information are different.

[0067] Furthermore, the calculation module can predict the remaining life of the fuel cell from the second attenuation prediction curve based on the engine operating time, gas concentration information, and dust concentration information. For example, in the table data corresponding to the second attenuation prediction curve, the engine operating time, gas concentration information, and dust concentration information correspond to the remaining life of the fuel cell. Furthermore, the present invention does not specifically limit the method for predicting the remaining life of the fuel cell from the attenuation prediction curve based on the engine operating time, gas concentration information, and dust concentration information.

[0068] It should be noted that if Figure 5 As shown, the VCU performs environmental monitoring to determine if the fuel cell engine system is in an abnormal environment. The VCU stores the operating condition and environmental information detected by the VCU in a storage module. The operating condition information includes data such as the fuel cell engine's power, current, voltage, impedance, and resistance. The acquisition module reads the fuel cell engine's power, current, voltage, impedance, and resistance in real time and sends this data to the predicted decay module. The predicted decay module then performs a stack decay prediction table lookup based on the operating condition and environmental information to obtain data such as metal particle poisoning trends, non-metallic particle blockage trends, gas-containing poisoning trends, carbon monoxide poisoning trends, and oxide poisoning trends. The predicted decay module then uses the operating condition information and the engine's operating time in the abnormal environment to call a second preset decay prediction curve in the storage module corresponding to the operating time. The calculation module then calculates the remaining life of the fuel cell based on the second preset decay prediction curve, the engine's operating time, gas concentration information, and the dust concentration information. The remaining life of the fuel cell is then stored in the storage module. The VCU then retrieves the data in the storage module and uploads it to the cloud.

[0069] After calculating the remaining life of the fuel cell, if it is judged that the remaining life of the fuel cell is low, the user needs to be prompted to perform maintenance and store the corresponding data in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0070] If the power attenuation of the fuel cell engine is determined to be in a poisoning state based on the power, current, voltage, impedance, and resistance data acquired by the acquisition module, that is, if the fault analysis module determines that the fuel cell engine is suffering from metal particle poisoning, non-metallic particle blockage, flow-containing gas poisoning, carbon monoxide poisoning, or oxide poisoning, the fault dwell time is obtained, and the remaining life of the fuel cell is calculated based on the fault dwell time, the second preset attenuation prediction curve, the engine's operating time, gas concentration information, and the dust concentration information. After calculating the remaining life of the fuel cell, the remaining life of the fuel cell is stored in the storage module, and the VCU then acquires the data in the storage module and uploads it to the cloud.

[0071] Furthermore, in some embodiments of the present invention, determining a fuel cell engine system attenuation prediction curve based on operating condition information and / or environmental information includes determining the fuel cell BOP attenuation prediction curve based on operating data of the fuel cell BOP. Predicting the remaining life of the fuel cell BOP based on the operating condition information and the fuel cell BOP attenuation prediction curve includes predicting the remaining life of the fuel cell BOP from the fuel cell BOP attenuation prediction curve based on the operating time of the fuel cell BOP.

[0072] Specifically, in this embodiment, Figure 6 As shown, the operating data of the fuel cell BOP includes the health status of the air machine, the current status of the hydrogen pump, the health status of the actuator, the health status of the sensor, and the health status of the water pump. After the FCU is awakened, the fuel cell engine system will first read the operating condition information stored in the storage module before the last FCU power-off. The operating condition information includes the operating data of the fuel cell BOP. The predicted attenuation module performs a stack attenuation prediction table lookup based on the operating condition information to obtain trends such as the air compressor attenuation trend, the hydrogen pump attenuation trend, the water pump attenuation trend, and the actuator attenuation trend, and then determine the attenuation prediction curve of the fuel cell BOP, thereby calculating the remaining life of the fuel cell BOP based on the operating time of the fuel cell BOP and the attenuation prediction curve of the fuel cell BOP.

[0073] Among them, the operating data of the fuel cell BOP includes data such as torque, speed, temperature, pressure, low voltage, current, conductivity, concentration and resistance of components such as the air compressor, hydrogen pump and water pump. During the operation of the fuel cell BOP, the acquisition module will read the operating data of the fuel cell BOP in real time, and update the operating condition information in the storage module based on these data. Then, the prediction attenuation module can determine the attenuation prediction curve of the fuel cell BOP based on the updated operating data of the fuel cell BOP, so that the calculation module can calculate the remaining life of the fuel cell BOP based on the operating time of the fuel cell BOP and the attenuation prediction curve of the fuel cell BOP, and store the remaining life of the fuel cell BOP in the storage module. Then the VCU obtains the data in the storage module and uploads it to the cloud. Among them, the remaining life of the fuel cell BOP is updated in real time during the operation of the fuel cell BOP.

[0074] If the fuel cell BOP is determined to be in a fault state based on the torque, speed, temperature, pressure, low voltage, current, conductivity, concentration and resistance data obtained by the acquisition module, that is, if the fuel cell BOP is determined to be in a sealing failure fault and a short circuit fault through the fault analysis module, the fuel cell BOP is repaired or replaced. After the parts in the fuel cell BOP are replaced, the operating data and the operating time of the fuel cell BOP are re-read, and the attenuation prediction curve of the fuel cell BOP is determined based on the operating data of the fuel cell BOP, so that the calculation module can calculate the remaining life of the fuel cell BOP based on the operating time of the fuel cell BOP and the attenuation prediction curve of the fuel cell BOP.

[0075] When repairing components in the fuel cell BOP, the corresponding correction coefficient is obtained, so that the calculation module can calculate the remaining life of the fuel cell BOP based on the correction coefficient, the operating time of the fuel cell BOP and the attenuation prediction curve of the fuel cell BOP.

[0076] After calculating the remaining life of the fuel cell BOP, if it is determined that the remaining life of the fuel cell BOP is low, the user needs to be prompted to perform maintenance and the corresponding data is stored in the storage module. The VCU then obtains the data in the storage module and uploads it to the cloud.

[0077] Summary, such as Figure 7 As shown, after the vehicle is powered on, the current output status of the engine and the operating data of the fuel cell BOP are obtained, and a special environment judgment is made. If it is a normal environment, the normal environment health management mode is entered, and the remaining life of the fuel cell is predicted from the attenuation prediction curve based on the engine operating time.

[0078] If the altitude is high, the system enters high-altitude health management mode, determines the attenuation prediction curve of the fuel cell engine system from a plurality of first preset attenuation prediction curves based on the current output state of the engine, and predicts the remaining life of the fuel cell from the attenuation prediction curve based on the engine's operating time.

[0079] If it is an abnormal environment, the solid particle health management mode and the toxic environment health management mode will be entered respectively according to the PM2.5 analysis, and the attenuation prediction curve of the fuel cell engine system will be determined from multiple second preset attenuation prediction curves according to the engine's operating time in the abnormal environment, so as to predict the remaining life of the fuel cell from the attenuation prediction curve based on the engine's operating time, gas concentration information and dust concentration information.

[0080] In the fuel cell BOP, a fuel cell BOP degradation prediction curve is determined based on the fuel cell BOP operation data, and the remaining life of the fuel cell BOP is predicted from the fuel cell BOP degradation prediction curve based on the operation time of the fuel cell BOP.

[0081] After obtaining the remaining life of the fuel cell and the remaining life of the fuel cell BOP, the remaining life of the fuel cell and the remaining life of the fuel cell BOP will be stored in the storage module or health management system and reported to the VCU, and then uploaded to the cloud through the VCU. At the same time, the VCU will provide corresponding maintenance reminders based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP.

[0082] In summary, the health management method for a fuel cell engine system according to an embodiment of the present invention can improve the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP, and improve the accuracy of the maintenance prompts for the fuel cell and the fuel cell BOP.

[0083] Based on the vehicle control method proposed in the aforementioned embodiment of the present invention, the embodiment of the present invention also proposes a computer-readable storage medium, on which a health management program for a fuel cell engine system is stored. When the health management program is executed by a processor, the health management method for the fuel cell engine system of the aforementioned embodiment of the present invention is implemented.

[0084] According to the health management method of the fuel cell engine system in an embodiment of the present invention, the processor executes the health management program of the fuel cell engine system, which can improve the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP, and improve the accuracy of the maintenance prompts of the fuel cell and the fuel cell BOP.

[0085] Figure 8 4 is a block diagram of a health management device for a fuel cell engine system according to an embodiment of the present invention.

[0086] Specifically, the fuel cell engine system includes a fuel cell and a fuel cell BOP, such as Figure 8 As shown, the health management device 100 of a fuel cell engine system includes an acquisition module 10 , a determination module 20 , a prediction module 30 and a control module 40 .

[0087] Among them, the acquisition module 10 is used to obtain the operating condition information and environmental information of the fuel cell engine system; the determination module 20 is used to determine the attenuation prediction curve of the fuel cell engine system based on the operating condition information and / or environmental information, the attenuation prediction curve including the attenuation prediction curve of the fuel cell and the attenuation prediction curve of the fuel cell BOP; the prediction module 30 is used to predict the remaining life of the fuel cell based on the operating condition information, environmental information and the attenuation prediction curve of the fuel cell, and to predict the remaining life of the fuel cell BOP based on the operating condition information and the attenuation prediction curve of the fuel cell BOP; the control module 40 is used to provide maintenance prompts based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP.

[0088] In some embodiments of the present invention, a correction coefficient of the fuel cell engine system is obtained; and the attenuation prediction curve of the fuel cell and the attenuation prediction curve of the fuel cell BOP are corrected according to the correction coefficient.

[0089] In some embodiments of the present invention, the operating condition information includes engine operating time, current engine output state, fuel cell BOP operating data and fuel cell BOP operating time, and the environmental information includes gas concentration information and dust concentration information.

[0090] In some embodiments of the present invention, the prediction module 30 is specifically configured to predict the remaining life of the fuel cell from the attenuation prediction curve according to the engine operating time when it is determined that the fuel cell engine system is in the first preset environment according to the gas concentration information and the dust concentration information.

[0091] In some embodiments of the present invention, the determination module 20 is specifically used to determine the attenuation prediction curve of the fuel cell engine system from multiple first preset attenuation prediction curves according to the current output state of the engine when it is determined that the fuel cell engine system is in a second preset environment based on gas concentration information, wherein the multiple first preset attenuation prediction curves are simulated and stored in advance based on the simulation data of the operating condition information and the simulation data of the environmental information.

[0092] In some embodiments of the present invention, the prediction module 30 is specifically configured to predict the remaining life of the fuel cell from the attenuation prediction curve according to the engine operating time in the second preset environment.

[0093] In some embodiments of the present invention, the determination module 20 is specifically used to determine the attenuation prediction curve of the fuel cell engine system from multiple second preset attenuation prediction curves based on the engine's operating time in the third preset environment when it is determined that the fuel cell engine system is in a third preset environment based on gas concentration information and dust concentration information, wherein the multiple second preset attenuation prediction curves are simulated and stored in advance based on simulation data of operating condition information and simulation data of environmental information.

[0094] In some embodiments of the present invention, the prediction module 30 is specifically configured to predict the remaining life of the fuel cell from the attenuation prediction curve according to the engine operating time, gas concentration information, and dust concentration information in the third preset environment.

[0095] In some embodiments of the present invention, the determination module 20 is specifically configured to determine a fuel cell BOP attenuation prediction curve based on the fuel cell BOP operation data.

[0096] In some embodiments of the present invention, the prediction module 30 is specifically configured to predict the remaining life of the fuel cell BOP from a degradation prediction curve of the fuel cell BOP according to the operating time of the fuel cell BOP.

[0097] It should be noted that other specific implementations of the health management device for the fuel cell engine system proposed in the embodiment of the present invention can refer to the specific implementations of the health management method for the fuel cell engine system in the aforementioned embodiment of the present invention. To reduce redundancy, they will not be repeated here.

[0098] In summary, the health management device for a fuel cell engine system according to an embodiment of the present invention can improve the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP, and improve the accuracy of maintenance prompts for the fuel cell and the fuel cell BOP.

[0099] Figure 9 FIG. 4 is a block diagram of a fuel cell engine system according to an embodiment of the present invention.

[0100] like Figure 9 As shown, the fuel cell engine system 1000 includes the fuel cell engine system health management device 100 according to the embodiment of the present invention.

[0101] According to the fuel cell engine system of the embodiment of the present invention, by adopting the health management device of the fuel cell engine system of the above-mentioned embodiment of the present invention, the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP can be improved, and the accuracy of the maintenance prompts of the fuel cell and the fuel cell BOP can be improved.

[0102] Figure 10 is a block diagram of an electric vehicle according to an embodiment of the present invention.

[0103] like Figure 10 As shown, an electric vehicle 2000 includes a fuel cell engine system 1000 , and the fuel cell engine system 1000 is health-managed by the fuel cell engine system health management device 100 according to the above embodiment of the present invention.

[0104] According to the electric vehicle of the embodiment of the present invention, by adopting the fuel cell engine system, the accuracy of the predicted remaining life of the fuel cell and the remaining life of the fuel cell BOP can be improved, and the accuracy of the maintenance prompts of the fuel cell and the fuel cell BOP can be improved.

[0105] In addition, other components and functions of the electric vehicle in the embodiment of the present invention are known to those skilled in the art and will not be described herein in detail to reduce redundancy.

[0106] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wires (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0107] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0108] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0109] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0110] In addition, the terms "first" and "second" used in the embodiments of the present invention are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in this embodiment. Therefore, the features defined by the terms "first" and "second" in the embodiments of the present invention can explicitly or implicitly indicate that the embodiment includes at least one of such features. In the description of the present invention, the word "plurality" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0111] In the present invention, unless otherwise clearly specified or limited in the embodiments, the terms "installed," "connected," "connect," and "fixed" appearing in the embodiments should be understood in a broad sense. For example, the connection may be a fixed connection, a detachable connection, or an integral connection. It can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be internal communication between two elements, or an interaction between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood based on the specific implementation.

[0112] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0113] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A fuel cell engine system health management method, characterized in that: The fuel cell engine system includes a fuel cell and a fuel cell BOP, and the method includes: Acquiring operating condition information and environmental information of the fuel cell engine system; determining a decay prediction curve of the fuel cell engine system according to the operating condition information and / or the environmental information, the decay prediction curve including a decay prediction curve of the fuel cell and a decay prediction curve of the fuel cell BOP; predicting the remaining life of the fuel cell based on the operating condition information, the environmental information, and a decay prediction curve of the fuel cell, and predicting the remaining life of the fuel cell BOP based on the operating condition information and a decay prediction curve of the fuel cell BOP; Providing maintenance reminders based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP; The operating condition information includes the operating time of the engine, and the environmental information includes gas concentration information and dust concentration information; The predicting the remaining life of the fuel cell according to the operating condition information, the environmental information, and the attenuation prediction curve of the fuel cell includes: When it is determined that the fuel cell engine system is in a first preset environment according to the gas concentration information and the dust concentration information, the remaining life of the fuel cell is predicted from the attenuation prediction curve according to the operating time of the engine.

2. The fuel cell engine system health management method according to claim 1, characterized in that: The method further comprises: Obtaining a correction coefficient of the fuel cell engine system; The fuel cell attenuation prediction curve and the fuel cell BOP attenuation prediction curve are corrected according to the correction coefficient.

3. The fuel cell engine system health management method according to claim 1, characterized in that: The operating condition information also includes the current output state of the engine, operating data of the fuel cell BOP, and operating time of the fuel cell BOP.

4. The fuel cell engine system health management method according to claim 3, characterized in that: Determining the attenuation prediction curve of the fuel cell engine system according to the operating condition information and / or the environmental information includes: When it is determined that the fuel cell engine system is in a second preset environment based on the gas concentration information, the attenuation prediction curve of the fuel cell engine system is determined from multiple first preset attenuation prediction curves based on the current output state of the engine, wherein the multiple first preset attenuation prediction curves are simulated and stored in advance based on the simulation data of the operating condition information and the simulation data of the environmental information.

5. The fuel cell engine system health management method according to claim 4, characterized in that: The predicting the remaining life of the fuel cell according to the operating condition information, the environmental information, and the attenuation prediction curve of the fuel cell includes: In the second preset environment, the remaining life of the fuel cell is predicted from the attenuation prediction curve according to the operating time of the engine.

6. The fuel cell engine system health management method according to claim 3, characterized in that: Determining the attenuation prediction curve of the fuel cell engine system according to the operating condition information and / or the environmental information includes: When it is determined that the fuel cell engine system is in a third preset environment based on the gas concentration information and the dust concentration information, the attenuation prediction curve of the fuel cell engine system is determined from multiple second preset attenuation prediction curves based on the operating time of the engine in the third preset environment, wherein the multiple second preset attenuation prediction curves are simulated and stored in advance based on the simulation data of the operating condition information and the simulation data of the environmental information.

7. The fuel cell engine system health management method according to claim 6, characterized in that: The predicting the remaining life of the fuel cell according to the operating condition information, the environmental information, and the attenuation prediction curve of the fuel cell includes: In the third preset environment, the remaining life of the fuel cell is predicted from the attenuation prediction curve according to the engine operation time, the gas concentration information, and the dust concentration information.

8. A health management device for a fuel cell engine system, characterized in that: The fuel cell engine system includes a fuel cell and a fuel cell BOP, and the device includes: An acquisition module, configured to acquire operating condition information and environmental information of the fuel cell engine system; a determination module, configured to determine a decay prediction curve of the fuel cell engine system according to the operating condition information and / or the environmental information, the decay prediction curve including a decay prediction curve of the fuel cell and a decay prediction curve of the fuel cell BOP; a prediction module, configured to predict the remaining life of the fuel cell based on the operating condition information, the environmental information, and the attenuation prediction curve of the fuel cell, and to predict the remaining life of the fuel cell BOP based on the operating condition information and the attenuation prediction curve of the fuel cell BOP; a control module, configured to provide maintenance prompts based on the remaining life of the fuel cell and the remaining life of the fuel cell BOP; The operating condition information includes the operating time of the engine, and the environmental information includes gas concentration information and dust concentration information; The prediction module is further configured to: when it is determined that the fuel cell engine system is in a first preset environment based on the gas concentration information and the dust concentration information, predict the remaining life of the fuel cell from the attenuation prediction curve based on the engine operation time.

9. An electric vehicle, characterized in that: It comprises a fuel cell engine system, the fuel cell engine system undergoing health management by the fuel cell engine system health management device according to claim 8.

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