Method and device for predicting service life of electric pile and electronic equipment

Abstract

The invention discloses a method and a device for predicting the service life of an electric pile and electronic equipment. The method comprises the following steps: acquiring a simulated electric pile, the simulated electric pile being an electric pile obtained by simulating a target electric pile; simulation galvanic pile parameters corresponding to the simulation galvanic pile are determined, and the simulation galvanic pile parameters at least comprise reference current and rated current; determining a predetermined scene condition of to-be-simulated operation of the simulated stack, the predetermined scene condition including a plurality of operation stages arranged in sequence; performing operation simulation on the simulation electric pile under a preset scene working condition to obtain reference voltages corresponding to a plurality of simulation operation times respectively; and determining the predicted service life of the target electric pile according to the target electric pile parameters and the reference voltages respectively corresponding to the plurality of simulation operation times. According to the invention, the technical problem that the determined service life is not accurate due to the fact that the change rate is relatively fixed when the service life of the electric pile is predicted according to the change rate of the reference voltage of the electric pile in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of battery stacks, and in particular to a method, device and electronic equipment for predicting the service life of a battery stack. Background Art

[0002] Fuel cells are playing an increasingly important role in the energy sector due to their high efficiency, cleanliness and pollution-free performance. In the transportation sector, automotive fuel cell technology has developed rapidly, providing a foundation and accumulating valuable experience for the promotion and application of fuel cells in the field of stationary power generation. Compared with traditional power generation methods, the non-combustion fuel cell power generation system emits negligible pollutants and has a very high operating efficiency, making it a suitable alternative to future world energy.

[0003] Stationary fuel cells involve a variety of scenarios. For example, community power supply is one of the main application scenarios of stationary fuel cells. Fuel cell products need to have the characteristics of high reliability, long-term stability and high safety to ensure reliable power supply. Therefore, how to evaluate the life of stationary fuel cells is one of the key issues that need to be paid attention to at present.

[0004] Currently in the field of fuel cells, when predicting the life of a fuel cell for stationary power supply, the prediction is made based on the rate of change of the fuel cell stack reference voltage. The rate of change is relatively fixed, which leads to a technical problem of inaccurately determined service life.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present invention provide a method, device and electronic device for predicting the service life of a fuel cell stack, so as to at least solve the technical problem in the related art that when predicting the service life of a fuel cell stack, the prediction is made based on the change rate of the fuel cell stack reference voltage, and the change rate is relatively fixed, resulting in inaccurate determined service life.

[0007] According to one aspect of an embodiment of the present invention, a method for predicting the service life of a battery stack is provided, comprising: obtaining a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack; determining simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters include at least: a reference current and a rated current; determining a predetermined scenario condition for the simulated battery stack to be simulated, wherein the predetermined scenario condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages include at least: a first stage for loading the current of the simulated battery stack to the reference current, a second stage for loading the current to the rated current, a third stage for reducing the current to the reference current, a fourth stage for reducing the current to the shutdown current, and a fifth stage for maintaining a constant current; performing an operation simulation on the simulated battery stack under the predetermined scenario condition to obtain reference voltages corresponding to a plurality of simulated operation times; and determining the predicted service life of the target battery stack based on the target battery stack parameters and the reference voltages corresponding to the plurality of simulated operation times.

[0008] Optionally, determining the predicted service life of the target battery stack based on the target battery stack parameters and the reference voltages corresponding to the multiple simulated operating times includes: when the target battery stack parameters include the current reference voltage of the target battery stack, determining the voltage change rate based on the reference voltages corresponding to the multiple simulated operating times; and determining the predicted service life based on the current reference voltage and the voltage change rate.

[0009] Optionally, determining the predicted service life of the target battery stack based on the target battery stack parameters and the reference voltages corresponding to the multiple simulated operating times includes: when the target battery stack parameters include the current reference voltage and the current service life of the target battery stack, determining a simulated relationship curve between the simulated operating time and the voltage change rate based on the reference voltages corresponding to the multiple simulated operating times; and determining the predicted service life based on the simulated relationship curve, the current reference voltage and the current service life.

[0010] Optionally, determining the predetermined scenario conditions for the simulated battery stack to be simulated to operate includes: determining the operating state of the target battery stack in a predetermined scenario; determining the arrangement order corresponding to the multiple operating stages based on the operating state, and determining the operating parameters corresponding to the multiple operating stages respectively; sorting the multiple operating stages according to the arrangement order, and setting parameters for the corresponding operating stages according to the corresponding operating parameters to obtain the predetermined scenario conditions.

[0011] Optionally, determining the operating state of the target fuel cell stack in a predetermined scenario includes: acquiring behavior time series data and environmental parameters of the target fuel cell stack; and predicting the operating state corresponding to the predetermined scenario based on the environmental parameters and the behavior time series data.

[0012] Optionally, determining the operating state of the target fuel cell stack in a predetermined scenario includes: acquiring a historical operating state of the target fuel cell stack in a predetermined scenario; and determining the operating state based on a target fuel cell stack parameter and the historical operating state.

[0013] Optionally, determining the predicted service life of the target fuel cell stack based on the simulated relationship curve, the current reference voltage of the target fuel cell stack and the current service life includes: obtaining an actual relationship curve between historical operating time and voltage change rate; correcting the simulated relationship curve based on the actual relationship curve to obtain an updated relationship curve; and determining the predicted service life of the target fuel cell stack based on the updated relationship curve, the current reference voltage and the current service life.

[0014] According to one aspect of an embodiment of the present invention, there is provided a device for predicting the service life of a battery stack, comprising: an acquisition module for acquiring a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack; a first determination module for determining simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters include at least: a reference current and a rated current; a second determination module for determining a predetermined scenario condition for the simulated battery stack to be simulated, wherein the predetermined scenario condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages include at least: a first stage for loading the current of the simulated battery stack to the reference current, a second stage for loading the current to the rated current, a third stage for reducing the current to the reference current, a fourth stage for reducing the current to the shutdown current, and a fifth stage for maintaining a constant current; a simulation module for simulating the operation of the simulated battery stack under the predetermined scenario condition to obtain reference voltages corresponding to a plurality of simulated operation times; and a third determination module for determining the predicted service life of the target battery stack based on the target battery stack parameters and the reference voltages corresponding to the plurality of simulated operation times.

[0015] According to one aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement any of the above-mentioned methods for predicting the service life of a fuel cell stack.

[0016] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned methods for predicting the service life of a fuel cell stack.

[0017] In an embodiment of the present invention, a simulated fuel cell stack is obtained, wherein the simulated fuel cell stack is a fuel cell stack obtained by simulating a target fuel cell stack; simulated fuel cell stack parameters corresponding to the simulated fuel cell stack are determined, wherein the simulated fuel cell stack parameters include at least: a reference current and a rated current; predetermined scenario conditions for the simulated fuel cell stack to be simulated are determined, wherein the predetermined scenario conditions include a plurality of operation stages arranged in sequence, and the plurality of operation stages include at least: a first stage for loading the current of the simulated fuel cell stack to a reference current, a second stage for loading the current to a rated current, a third stage for reducing the current to a reference current, a fourth stage for reducing the current to a shutdown current, and a fifth stage for maintaining a constant current; an operation simulation is performed on the simulated fuel cell stack under the predetermined scenario conditions to obtain reference voltages corresponding to a plurality of simulated operation times; and a predicted service life of the target fuel cell stack is determined based on the target fuel cell stack parameters and the reference voltages corresponding to the plurality of simulated operation times. It can be seen that it simulates the working conditions under the predetermined scenario, performs an operation simulation on the simulated fuel cell stack, thereby determining multiple reference voltages, and determines the predicted service life based on the multiple reference voltages and the parameters of the target fuel cell stack. It performs adaptive settings according to specific scenarios, calculates the voltage for a specific fuel cell stack in a specific scenario, and thus predicts its service life, making the predicted service life more accurate. This solves the technical problem in the related art that when predicting the service life of a fuel cell stack, the prediction is made based on the change rate of the fuel cell stack reference voltage, and the change rate is relatively fixed, resulting in inaccurate determined service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a method for predicting the service life of a fuel cell stack according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of a fuel cell test condition provided by an optional embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of changes in the reference voltage of the battery stack after a test cycle condition provided in an optional embodiment of the present invention;

[0022] Figure 4 is a schematic diagram of the attenuation of the battery stack reference voltage provided in an optional embodiment of the present invention;

[0023] Figure 5 It is a structural block diagram of a device for predicting the service life of a fuel cell stack according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Example 1

[0027] According to an embodiment of the present invention, an embodiment of a method for predicting the service life of a battery stack is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] Figure 1 is a flow chart of a method for predicting the service life of a battery stack according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0029] Step S102, obtaining a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack;

[0030] In step S102 provided in the present application, a simulated battery stack is obtained, and the simulated battery stack is a simulated battery stack that can simulate the behavior and characteristics of the target battery stack. The simulated battery stack can be a simulation model based on software or a scaled version of actual hardware, which is used to simulate the operation of the target battery stack under simulated scenario conditions.

[0031] It should be noted that the creation of a simulated fuel cell needs to take into account all key parameters of the target fuel cell, such as voltage range, current density, temperature dependence, efficiency, etc., to ensure the accuracy of the simulation. Simulation software can be used to build a detailed physical model.

[0032] Optionally, the simulation model can be verified and calibrated in conjunction with experimental data to improve the similarity between the simulated fuel cell stack and the target fuel cell stack.

[0033] Step S104, determining simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters at least include: a reference current and a rated current;

[0034] In step S104 provided in the present application, simulated battery stack parameters corresponding to the simulated battery stack are determined. After the simulated battery stack is constructed, its basic parameters need to be determined, such as the reference current (the minimum or standard current for normal operation of the battery stack) and the rated current (the maximum continuous current that the battery stack is designed to withstand). These parameters can be measured.

[0035] Step S106, determining a predetermined scenario operating condition of the simulated battery stack to be simulated, wherein the predetermined scenario operating condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages at least include: a first stage of loading the current of the simulated battery stack to a reference current, a second stage of loading the current to a rated current, a third stage of reducing the current to a reference current, a fourth stage of reducing the current to a shutdown current, and a fifth stage of maintaining a constant current;

[0036] In step S106 provided in the present application, a predetermined scenario condition for the simulated battery stack to be simulated is determined, wherein the predetermined scenario condition is a series of simulated operation stages, which is intended to simulate various load changes that the battery stack may encounter in actual use. These stages can be combined into a variety of scenarios, such as, including a gradual increase from low load (baseline current) to high load (rated current), and then gradually decreasing to low load or even shutdown current, and finally maintaining a constant current.

[0037] The duration of each stage, the rate of current change, and the conversion logic between stages can be adjusted according to the specific application scenario of the target battery stack. It should be noted that in this process, more complex working conditions can be added, such as sudden loading, unloading, cyclic loading, etc., to more comprehensively simulate the actual use of the battery stack.

[0038] It should also be noted that in the above steps, multiple operating stages are introduced, including a first stage of pulling the current of the simulated battery stack to a reference current, a second stage of pulling the current to the rated current, a third stage of reducing the current to the reference current, a fourth stage of reducing the current to the shutdown current, and a fifth stage of maintaining a constant current.

[0039] Among them, the first stage is to pull the current of the simulated battery stack to the reference current. For example, in the scenario of community battery stacks, this stage simulates the initial process of the community battery stack gradually starting from a static or low-load state and starting to supply power or heat to the community. The reference current is the minimum or standard current for the normal operation of the battery stack, which represents the starting point for the battery stack to start stable operation. At this stage, parameters such as the voltage of the battery stack will gradually stabilize to prepare for subsequent higher loads. At this stage, the community battery stack may begin to respond to the community's electricity or heat needs and gradually increase the output power to meet basic power or heating needs.

[0040] Among them, the second stage is to pull the current to the rated current. For example, in the scenario of community battery stacks, this stage simulates the community battery stack further increasing the output power to meet the electricity or heat demand of the community during peak hours after meeting basic needs. The rated current is the maximum continuous current that the battery stack is designed to withstand, which represents the operating capacity of the battery stack under full load. At this stage, the battery stack needs to efficiently convert fuel into electricity or heat to support the high load needs of the community. At this stage, the community battery stack may gradually increase the output power as the community's electricity or heat demand increases until it reaches its rated capacity to ensure that the community can get enough electricity or heat supply during peak hours.

[0041] Among them, the third stage is to reduce the current to the reference current. For example, in the scenario of community battery stacks, this stage simulates the process of gradually reducing the output power of the community battery stack as demand decreases after the peak period. Reducing the current from the rated current to the reference current reflects the transition of the battery stack from a high-load state to a low-load state. At this stage, the battery stack needs to stably adjust its output power to avoid shocks to the power grid or heating system. At this stage, the community battery stack may gradually reduce its output power to match the reduced load demand as the community's electricity or heating demand decreases. This process helps to maintain the stability of the power grid or heating system and reduce unnecessary energy consumption.

[0042] Among them, the fourth stage is to reduce the current to the shutdown current. For example, in the scenario of community battery stacks, this stage simulates the process of the community battery stack gradually reducing the output power and eventually shutting down under long-term low load or no load conditions. The shutdown current is the minimum current maintained by the battery stack before it is ready to shut down to ensure the safety and stability of the internal components of the battery stack. At this stage, the battery stack needs to gradually shut down its fuel supply and power conversion systems in preparation for entering the shutdown state. At this stage, the battery stack may begin to gradually reduce its output power and eventually shut down its operating system when the community's electricity or heat demand is extremely low or zero. This process helps protect the battery stack from possible damage caused by long-term low-load operation and prepares to restart when needed.

[0043] Among them, the fifth stage is to maintain constant current, which represents the state of continuous operation of the community stack under stable load conditions. In this stage, the current of the stack is maintained at a constant level to stably supply electricity or heat to the community. In this stage, it may be during the period of stable electricity or heat consumption in the community, and the stack maintains its output power at a constant level to meet the stable needs of the community. This stable operating state helps to optimize the efficiency and life of the stack and reduce energy waste and equipment loss caused by frequent adjustments to the output power.

[0044] It should be noted that in actual applications, the operation of the community battery stack may be adjusted more complexly and flexibly according to actual needs, so as to enable flexible sorting. In the sorting set, the above different stages can be used multiple times and located in different positions, and the specific parameters can be set differently for better simulation. These stages are more to simulate and explain the operating characteristics and performance changes of the battery stack under different load conditions.

[0045] In addition, you can set up loops on sorted collections to simulate usage over days, months, or even years.

[0046] Step S108, performing operation simulation on the simulated battery stack under a predetermined scenario condition to obtain reference voltages corresponding to a plurality of simulated operation times;

[0047] In step S108 provided in the present application, an operation simulation of the simulated fuel cell stack under a predetermined scenario condition is performed to obtain reference voltages corresponding to a plurality of simulated operation times.

[0048] The simulated battery stack is run under the predetermined scenario conditions, and the reference voltage at different simulation running times is recorded. It should be noted that in addition to the reference voltage, other key parameters such as temperature, efficiency, internal resistance, etc. can also be recorded for a more comprehensive performance analysis.

[0049] Step S110, determining the predicted service life of the target fuel cell stack according to the target fuel cell stack parameters and the reference voltages corresponding to the multiple simulated operating times.

[0050] In step S110 provided in the present application, the predicted service life of the target battery stack is determined based on the target battery stack parameters and the reference voltages corresponding to the respective simulation operation times. The prediction method may include prediction based on physical models, statistical methods (such as regression analysis, survival analysis, etc.) or machine learning algorithms (such as neural networks, random forests, etc.).

[0051] During the use of the battery stack, due to various factors (such as consumption of chemical reactions, aging of materials, temperature fluctuations, etc.), the performance of the battery stack will gradually decline, and this decline is often reflected by the attenuation of the reference voltage. Therefore, the attenuation of the reference voltage can be regarded as a direct reflection of the change in the performance of the battery stack. Therefore, the service life of the battery stack can be determined by the attenuation of the reference voltage.

[0052] Moreover, the base voltage decay rate of the battery stack is different under different working conditions. For example, under idling and rated conditions, the operation of the battery stack is relatively stable, and the voltage drops slowly; under start-stop conditions, due to the frequent changes in current and load, the voltage decay rate of the battery stack will be significantly accelerated. Due to the difference in voltage decay rates under different working conditions, formulating specific scenario conditions can more accurately predict the service life of the battery stack.

[0053] Through the above steps S102-S110, a simulated fuel cell stack is obtained, wherein the simulated fuel cell stack is a fuel cell stack obtained by simulating a target fuel cell stack; simulated fuel cell stack parameters corresponding to the simulated fuel cell stack are determined, wherein the simulated fuel cell stack parameters include at least: a reference current and a rated current; predetermined scenario conditions for the simulated fuel cell stack to be simulated are determined, wherein the predetermined scenario conditions include a plurality of operation stages arranged in sequence, and the plurality of operation stages include at least: a first stage for loading the current of the simulated fuel cell stack to a reference current, a second stage for loading the current to a rated current, a third stage for reducing the current to a reference current, a fourth stage for reducing the current to a shutdown current, and a fifth stage for maintaining a constant current; an operation simulation of the simulated fuel cell stack under predetermined scenario conditions is performed to obtain reference voltages corresponding to a plurality of simulated operation times; a predicted service life of the target fuel cell stack is determined based on the target fuel cell stack parameters and the reference voltages corresponding to a plurality of simulated operation times. It can be seen that it simulates the working conditions under the predetermined scenario, performs an operation simulation on the simulated fuel cell stack, thereby determining multiple reference voltages, and determines the predicted service life based on the multiple reference voltages and the parameters of the target fuel cell stack. It performs adaptive settings according to specific scenarios, calculates the voltage for a specific fuel cell stack in a specific scenario, and thus predicts its service life, making the predicted service life more accurate. This solves the technical problem in the related art that when predicting the service life of a fuel cell stack, the prediction is made based on the change rate of the fuel cell stack reference voltage, and the change rate is relatively fixed, resulting in inaccurate determined service life.

[0054] As an optional embodiment, the predicted service life of the target battery stack is determined based on the target battery stack parameters and the reference voltages corresponding to multiple simulated operating times, including: when the target battery stack parameters include the current reference voltage of the target battery stack, determining the voltage change rate based on the reference voltages corresponding to multiple simulated operating times; determining the predicted service life based on the current reference voltage and the voltage change rate.

[0055] In this embodiment, the steps of determining the predicted service life of the target stack according to the target stack parameters and the reference voltages corresponding to the respective simulated operating times are described. The target stack parameters may include various performance indicators related to the target stack, wherein the current reference voltage is the stable output voltage of the current stack under specific operating conditions (such as no load or low load), which reflects the health status and performance level of the stack.

[0056] Among them, the reference voltages corresponding to multiple simulated running times are involved. Using the reference voltage data under these simulated running times, the rate of change of voltage over time can be calculated. This rate of change reflects the speed of battery stack performance degradation and is a key factor in predicting the service life. Therefore, the predicted service life can be determined based on the current reference voltage and voltage change rate. After knowing the current reference voltage and voltage change rate, it can be calculated when the battery stack will reach a predetermined performance threshold in the future (such as the voltage drops to an unacceptable level), thereby determining its predicted service life. This life is an estimate based on the performance degradation trend of the battery stack.

[0057] Since the reference voltage data under multiple simulation running times are used, based on these data, the trend of voltage change over time can be clearly analyzed, so as to more accurately grasp the law of battery stack performance degradation and ensure the accuracy of the predicted service life.

[0058] As an optional embodiment, the predicted service life of the target battery stack is determined based on the target battery stack parameters and the reference voltages corresponding to multiple simulated operating times, including: when the target battery stack parameters include the current reference voltage and the current service life of the target battery stack, determining a simulated relationship curve between the simulated operating time and the voltage change rate based on the reference voltages corresponding to multiple simulated operating times; and determining the predicted service life based on the simulated relationship curve, the current reference voltage and the current service life.

[0059] In this embodiment, a simulation relationship curve is determined, that is, by analyzing the corresponding reference voltage data under multiple simulation operation times, a relationship curve between the simulation operation time and the voltage change rate can be drawn. This curve reflects the trend and rate of change of the battery stack reference voltage over time in different operation time periods. Afterwards, based on the known current reference voltage and current service life, these two parameters are combined with the simulation relationship curve. This means finding a point on the curve corresponding to the current reference voltage and the current service life, which is used as the starting point for the prediction. Thereby achieving the purpose of determining the predicted service life. Starting from the current point, the simulation relationship curve is calculated backward until the predetermined voltage threshold or performance standard is reached. The time increment required in this process is the remaining part of the predicted service life. Adding this part of time to the current service life can obtain the total predicted service life. By considering the current service life and combining the simulation relationship curve for prediction, the actual situation of the battery stack performance degradation can be more accurately reflected, thereby improving the prediction accuracy.

[0060] As an optional embodiment, determining a predetermined scenario condition for a simulated battery stack to be simulated, includes: determining the operating state of a target battery stack in a predetermined scenario; determining an arrangement order corresponding to a plurality of operating stages based on the operating state, and determining operating parameters corresponding to the plurality of operating stages; sorting the plurality of operating stages according to the arrangement order, and setting parameters for the corresponding operating stages according to the corresponding operating parameters to obtain the predetermined scenario condition.

[0061] In this embodiment, the operating state of the target battery stack in the predetermined scenario is determined, and the operating state that the target battery stack needs to achieve or simulate in the predetermined scenario is determined, such as rated power output, specific load changes, environmental conditions (temperature, humidity), etc. After that, multiple operating stages and their arrangement order can be determined, that is, the entire simulation process is subdivided into multiple operating stages, each stage represents the operating state of the battery stack under specific conditions. At the same time, a reasonable arrangement order of these stages is determined to reflect the changes in the battery stack in actual operation. After that, the operating parameters of each operating stage are determined. For each operating stage, the corresponding operating parameters are determined according to its role in the entire simulation process and the effect to be achieved, so as to accurately control the operating state of the battery stack.

[0062] Among them, the arrangement order is determined, and multiple operation stages are sorted to ensure the orderly progress of the simulation process. Then, parameters are set according to the operating parameters of each stage to ensure that the battery stack can operate according to the predetermined conditions in each stage to properly simulate the predetermined scenario conditions.

[0063] As an optional embodiment, determining the operating state of the target battery stack in a predetermined scenario includes: acquiring behavior time series data and environmental parameters of the target battery stack; and predicting the operating state corresponding to the predetermined scenario based on the environmental parameters and the behavior time series data.

[0064] In this embodiment, the behavior time series data and environmental parameters of the target battery stack are obtained. The behavior time series data refers to the operation data of the battery stack recorded in time sequence over a period of time, such as the change of voltage, current, power output, etc. over time. These data reflect the dynamic behavior of the battery stack under different operating conditions.

[0065] Environmental parameters refer to external factors that affect the operation of the battery stack, such as temperature, humidity, air pressure, load changes, etc. Changes in these parameters will directly affect the performance and stability of the battery stack.

[0066] The above two types of data can be used to predict the operating state corresponding to the predetermined scenario, that is, based on the acquired behavior time series data and environmental parameters, data analysis and prediction models are used to predict the operating state of the battery stack in the predetermined scenario. The predetermined scenario can be a specific operating condition, an operating cycle, or a user-defined test environment. The prediction process takes into account the historical behavior patterns of the battery stack, the changing trends of environmental parameters, and the interactions between them, so as to deduce the operating state that the battery stack may reach under the predetermined scenario. By combining behavior time series data and environmental parameters for prediction, the various influencing factors of the battery stack operating state can be considered more comprehensively, thereby improving the accuracy and reliability of the prediction.

[0067] As an optional embodiment, determining the operating state of the target fuel cell stack in a predetermined scenario includes: obtaining a historical operating state of the target fuel cell stack in the predetermined scenario; and determining the operating state based on the target fuel cell stack parameters and the historical operating state.

[0068] In this embodiment, the historical operating status of the target battery stack in the predetermined scenario is obtained, that is, the operating status data of the target battery stack in similar predetermined scenarios in the past can be collected and analyzed. These data may include time series records of various parameters such as voltage, current, power output, temperature, humidity, and the changing trends of these parameters in different operating stages or conditions. Then, the operating status is determined based on the parameters of the target battery stack and the historical operating status. That is, after obtaining enough historical data, the next step is to use these data to build a model or perform pattern recognition in order to predict or infer its operating status in the predetermined scenario based on the current parameters of the target battery stack. By utilizing the patterns and trends in the historical data, the operating status of the target battery stack in the predetermined scenario can be more accurately predicted. This method takes into account the individual differences and historical performance of the battery stack, so that the prediction results are closer to the actual situation.

[0069] As an optional embodiment, the predicted service life of the target fuel cell stack is determined based on the simulated relationship curve, the current reference voltage of the target fuel cell stack and the current service life, including: obtaining the actual relationship curve between the historical operating time and the voltage change rate; correcting the simulated relationship curve based on the actual relationship curve to obtain an updated relationship curve; determining the predicted service life of the target fuel cell stack based on the updated relationship curve, the current reference voltage and the current service life.

[0070] In this embodiment, the actual relationship curve between the historical operating time and the voltage change rate is obtained. By analyzing the data of the target stack during the past operation process, especially the relationship between the operating time and the voltage change rate, the actual relationship curve is drawn to correct the simulated relationship curve according to the actual relationship curve. Because before there is actual data, the relationship between the operating time and the voltage change rate is usually simulated based on a theoretical model or an empirical formula. However, these simulation curves may deviate from the actual situation. Therefore, by comparing the actual relationship curve and the simulation relationship curve, the simulation curve can be corrected to make it closer to the actual situation. The corrected simulation relationship curve is the updated relationship curve. This curve more accurately reflects the actual relationship between the operating time and the voltage change rate of the target stack, providing a reliable basis for subsequent predictions. Based on the updated relationship curve, the current reference voltage and the current service life, the predicted service life of the target stack is determined. The remaining service life required for the stack when the voltage change rate reaches a certain threshold in the future (usually indicating that the performance of the stack has declined to a certain extent) can be predicted based on the current reference voltage of the stack (i.e., the voltage value under a certain operating condition) and the years of use. By using historical data and actual relationship curves to correct the simulated relationship curve, the accuracy of the prediction of the service life of the target fuel cell stack can be significantly improved.

[0071] Based on the above embodiments and optional embodiments, an optional implementation is provided, which is described in detail below.

[0072] A method for predicting the service life of a fuel cell stack is provided in an optional embodiment of the present invention. Specifically, it relates to a method for evaluating the life of a fuel cell stack for community power supply, including a test cycle operating condition that simulates a community power supply system, and this life evaluation method is applicable to the field of fuel cells for community power supply. It can accurately predict the service life of the fuel cell stack, and is not only close to the actual usage of fuel cells for community power supply in terms of operating condition selection, power allocation, time allocation, etc., but also relatively shortens the experimental time.

[0073] In the current fuel cell field, there is a lack of methods for predicting the life of fuel cells for community power supply. To address this problem, the present invention combines the actual power demand and characteristics of the current community to create a cycle condition for simulation. The cycle condition is closer to the actual community power consumption. At the same time, the average reference voltage of the fuel cell stack is used as a life prediction index, combined with a linear fitting evaluation model for prediction, thereby proposing a method for evaluating the life of fuel cells for community power supply. The general steps of the method are as follows:

[0074] S1. Collect the actual operation data of the community power supply units and conduct a systematic analysis of their power, time ratio, working condition load parameters, etc.;

[0075] S2. Determine the actual working conditions of the endurance cycle: operating parameters of various working conditions such as loading conditions, reference conditions, rated conditions, and load reduction conditions, so as to set the stage according to the actual public conditions and the setting of the predetermined scenario conditions;

[0076] S3. Place the fully activated fuel cell stack on the test bench and heat it up to the corresponding starting conditions;

[0077] S4. Perform calibration test on the battery stack to obtain reference current and rated current;

[0078] For example, the current when the average voltage is about 0.73V can be recorded as the reference current. The voltage at this time is used as the initial voltage V0 during the endurance test. At the same time, the current when it is 0.7V can be recorded as the rated current.

[0079] S5. After the calibration is completed, the test under the endurance cycle condition is entered, that is, the reference current is loaded at a certain load rate and runs stably for a period of time t1, then loaded to the rated current and runs stably for a period of time t2 (t1=t2), and finally the load is reduced to the reference current and runs stably for a period of time t1; one test cycle is completed every (2t1+t2) time, and at least n (n=1,2,3...) test cycles are completed at one time as a large cycle, that is, the above multiple working conditions are sorted to obtain the scene working conditions, and a large cycle is obtained. Multiple large cycles are executed, and each large cycle is stopped for at least a period of rest tn. During the shutdown period, the fuel cell stack can be maintained accordingly. When the next endurance cycle process is carried out, the voltage Vi (i=1,2,3...) when the reference current is pulled for the first time during each endurance cycle is recorded;

[0080] S6. After completing the last cycle condition, recalibrate the battery stack and record the voltage V under the reference current. After the endurance test is completed, draw a "reference voltage Vi-time t" graph and perform linear fitting to obtain the voltage change rate V', unit (V / h).

[0081] Criteria for determining the service life of a fixed proton exchange membrane fuel cell stack: From the initial voltammetric curve to the final voltammetric curve, if the average voltage of each fuel cell decays by 20% under the reference current, the stack can be considered to have lost its value for continued use and the life test is terminated.

[0082] Optionally, the actual operating conditions described in the above steps can be selected according to the equipment operating conditions required by the stack manufacturer, including corresponding load addition and reduction conditions, reference conditions, rated conditions, load reduction conditions, thermal engine temperature and calibration test conditions;

[0083] Optionally, the benchmark operating time t1 in the step is 1 to 8 hours, the number of test cycles n completed at least in each large cycle is 1 to 20, and the downtime after each large cycle is 1 to 12 hours;

[0084] Optionally, the shutdown maintenance processing of the fuel cell stack described in step S5 includes but is not limited to stack purging, stack performance recovery, inspection plug-in and other spare parts replacement.

[0085] The following is a specific example: using the existing fuel cell stack test bench, the life prediction cycle condition test is carried out according to the determined test conditions. Each large cycle consists of 10 test cycles, and each test cycle is the same, including loading conditions, baseline conditions, rated conditions and load reduction conditions, which are close to the actual operation of the community power supply system, and each large cycle contains a set of start-stop conditions. The baseline condition is used to simulate the power consumption of the community during normal and off-peak periods; the rated condition is used to simulate the power consumption of the community during peak hours. The loading condition is to start and load the fuel cell, including loading to the baseline condition and the rated condition; the load reduction condition is to reduce the load and shut down the fuel cell, including reducing the load from the rated condition to the baseline condition and shutting down.

[0086] Figure 2 It is a schematic diagram of the fuel cell test condition provided by an optional embodiment of the present invention, as shown in the figure, wherein 1 represents the starting and loading condition, 2 represents the reference condition of the fuel cell stack operating at the reference current, 3 represents the rated condition of the fuel cell stack operating at the rated current, and 4 represents the load reduction and shutdown condition after the end of a large cycle condition; each test cycle condition includes a total of 10 sub-cycles.

[0087] The specific operation steps of the optional implementation mode of the present invention are as follows:

[0088] S1. The actual operation data of the community power supply units were collected and systematically analyzed in terms of power, time, working conditions, etc. The data were divided into three time periods according to the daily community power consumption: peak period (08:30-11:30, 18:00-23:00), normal period (07:00-08:30, 11:30-18:00) and valley period (23:00-7:00);

[0089] S2. Determine the actual working conditions of the endurance cycle according to the power consumption period: load conditions, use the benchmark conditions during normal and off-peak periods, and use the rated conditions and load reduction conditions during peak periods;

[0090] S3. Install the fuel cell under test on the test bench and heat it up to the corresponding starting conditions;

[0091] S4. First, calibrate the battery stack and record the current when the average voltage is about 0.73V, which is recorded as the reference current Ireference. The voltage at this time is 0.732V, which is used as the initial reference voltage for the endurance test. At the same time, record the current at 0.7V, which is recorded as the rated current Irated. The voltage at this time is 0.703V, which is used as the initial rated voltage for the endurance test.

[0092] S5. After the calibration is completed, enter the endurance cycle condition, load to the reference current at the specified loading rate and run for 2 hours, then load to the rated current and run for 2 hours, and finally reduce the load to the reference current and run for 2 hours. Complete a test cycle every 6 hours, and complete at least 10 test cycles at a time as a large cycle condition. After each large cycle condition, reduce the load and stop for at least 1 hour, and then when the next large cycle condition is carried out, record the voltage V1 when the first load is pulled to the reference current as 0.703V;

[0093] S6. After completing 10 large cycles, recalibrate the stack and record the voltage V10 under the reference current as 0.685V. After the endurance test is completed, draw a "reference voltage Vi-time t" graph and perform linear fitting to obtain the voltage change rate V', unit (V / h). Use the fitting curve to predict the life of the stack.

[0094] Figure 3 Schematic diagram of the change of the reference voltage of the battery stack after the test cycle condition provided by an optional embodiment of the present invention, such as Figure 3 As shown, by recording the reference voltage after each test cycle, drawing a "reference voltage Vi-time t" table, and performing linear fitting, the reference voltage attenuation rate V' is obtained to be 2.33*10-5V / h, and the stack reference voltage shows a gradually decreasing trend.

[0095] Table 1 is a schematic table of reference voltage Vi-time t, as shown in Table 1:

[0096] Table 1

[0097] Time / h Reference voltage / h 0 0.732 60 0.734 120 0.734 180 0.733 240 0.73 300 0.731 360 0.728 420 0.727 480 0.725 540 0.722 600 0.719

[0098] Figure 4 Schematic diagram of the attenuation of the battery stack reference voltage provided by an optional embodiment of the present invention, which predicts the life of the battery stack, such as Figure 4 As shown, according to the criteria for determining the service life of a fixed proton exchange membrane fuel cell stack: from the initial voltammetric curve to the final voltammetric curve, if the average voltage of each fuel cell decays by 20% under the reference current, the fuel cell performance is determined to be failed, and this is used as the end point of the life prediction. Through calculation, when the reference voltage drops to 0.5872, it is used as the end point of the life prediction. The predicted life of the fuel cell is 6360h through the linear fitting formula.

[0099] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0100] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0101] Example 2

[0102] According to an embodiment of the present invention, there is also provided a device for implementing the above-mentioned method for predicting the service life of a fuel cell stack. Figure 5 is a structural block diagram of a device for predicting the service life of a battery stack according to an embodiment of the present invention, such as Figure 5 As shown, the device includes: an acquisition module 502, a first determination module 504, a second determination module 506, a simulation module 508 and a third determination module 510. The device is described in detail below.

[0103] The acquisition module 502 is used to acquire a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack; the first determination module 504 is connected to the acquisition module 502, and is used to determine the simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters at least include: a reference current and a rated current; the second determination module 506 is connected to the first determination module 504, and is used to determine a predetermined scenario operating condition for the simulated battery stack to be simulated, wherein the predetermined scenario operating condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages at least include: pulling the current of the simulated battery stack to the reference current; The first stage of the flow, the second stage of pulling the current to the rated current, the third stage of reducing the current to the reference current, the fourth stage of reducing the current to the shutdown current, and the fifth stage of maintaining the current constant; the simulation module 508 is connected to the above-mentioned second determination module 506, and is used to simulate the operation of the simulated fuel cell under the predetermined scenario conditions to obtain the reference voltages corresponding to multiple simulated operation times; the third determination module 510 is connected to the above-mentioned simulation module 508, and is used to determine the predicted service life of the target fuel cell according to the target fuel cell parameters and the reference voltages corresponding to multiple simulated operation times.

[0104] It should be noted here that the above-mentioned acquisition module 502, first determination module 504, second determination module 506, simulation module 508 and third determination module 510 correspond to steps S102 to S110 in the method for implementing the prediction of the service life of the battery stack, and the instances and application scenarios implemented by the multiple modules are the same as the corresponding steps, but are not limited to the contents disclosed in the above-mentioned embodiment 1.

[0105] Example 3

[0106] According to another aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor, wherein the processor is configured to execute instructions to implement any of the above methods for predicting the service life of a battery stack.

[0107] Example 4

[0108] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned methods for predicting the service life of a battery stack.

[0109] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0110] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0111] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0113] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0115] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting the service life of a fuel cell stack, characterized in that: include: Acquire a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack; Determine simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters at least include: a reference current and a rated current; Determine a predetermined scenario operating condition for the simulated battery stack to be simulated, wherein the predetermined scenario operating condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages at least include: a first stage of loading the current of the simulated battery stack to the reference current, a second stage of loading the current to the rated current, a third stage of reducing the current to the reference current, a fourth stage of reducing the current to the shutdown current, and a fifth stage of maintaining a constant current; Performing an operation simulation on the simulated battery stack under the predetermined scenario conditions to obtain reference voltages corresponding to a plurality of simulated operation times; The predicted service life of the target fuel cell stack is determined based on the target fuel cell stack parameters and the reference voltages corresponding to the multiple simulated operating times.

2. The method according to claim 1, characterized in that The step of determining the predicted service life of the target battery stack according to the target battery stack parameters and the reference voltages respectively corresponding to the plurality of simulated operating times includes: In a case where the target stack parameter includes a current reference voltage of the target stack, determining a voltage change rate according to the reference voltages respectively corresponding to the multiple simulation running times; The predicted service life is determined based on the current reference voltage and the voltage change rate.

3. The method according to claim 1, characterized in that The step of determining the predicted service life of the target battery stack according to the target battery stack parameters and the reference voltages respectively corresponding to the plurality of simulated operating times includes: In a case where the target stack parameter includes the current reference voltage and the current service life of the target stack, determining a simulated relationship curve between the simulated operating time and the voltage change rate according to the reference voltages respectively corresponding to the multiple simulated operating times; The predicted service life is determined based on the simulation relationship curve, the current reference voltage and the current service life.

4. The method according to any one of claims 1 to 3, characterized in that The determining of a predetermined scenario operating condition for the simulated battery stack to be simulated to run includes: Determine the operating status of the target battery stack in a predetermined scenario; According to the operating state, determining an arrangement order corresponding to the multiple operating stages, and determining operating parameters corresponding to the multiple operating stages respectively; The multiple operating stages are sorted according to the arrangement order, and parameters are set for corresponding operating stages according to corresponding operating parameters to obtain the predetermined scenario working condition.

5. The method according to claim 4, characterized in that The determining the operating state of the target battery stack in a predetermined scenario includes: Acquiring behavior time series data and environmental parameters of the target battery stack; Based on the environmental parameters and the behavior time series data, an operating state corresponding to the predetermined scenario is predicted.

6. The method according to claim 4, characterized in that The determining the operating state of the target battery stack in a predetermined scenario includes: Obtaining a historical operating status of the target fuel cell stack in a predetermined scenario; The operating state is determined according to the target battery stack parameter and the historical operating state.

7. The method according to claim 3, characterized in that Determining the predicted service life of the target fuel cell stack based on the simulated relationship curve, the current reference voltage and the current service life of the target fuel cell stack includes: Get the actual relationship curve between historical operating time and voltage change rate; Correcting the simulated relationship curve according to the actual relationship curve to obtain an updated relationship curve; The predicted service life of the target fuel cell stack is determined based on the updated relationship curve, the current reference voltage and the current service life.

8. A device for predicting the service life of a fuel cell stack, characterized in that: include: An acquisition module, used for acquiring a simulated battery stack, wherein the simulated battery stack is a battery stack obtained by simulating a target battery stack; A first determination module is used to determine simulated battery stack parameters corresponding to the simulated battery stack, wherein the simulated battery stack parameters at least include: a reference current and a rated current; A second determination module is used to determine a predetermined scenario operating condition of the simulated battery stack to be simulated, wherein the predetermined scenario operating condition includes a plurality of operation stages arranged in sequence, and the plurality of operation stages at least include: a first stage of pulling the current of the simulated battery stack to the reference current, a second stage of pulling the current to the rated current, a third stage of reducing the current to the reference current, a fourth stage of reducing the current to the shutdown current, and a fifth stage of maintaining a constant current; A simulation module, used to perform operation simulation on the simulated battery stack under the predetermined scenario conditions to obtain reference voltages corresponding to multiple simulated operation times; The third determination module is used to determine the predicted service life of the target fuel cell stack according to the target fuel cell stack parameters and the reference voltages corresponding to the multiple simulated operating times.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the method for predicting the service life of a fuel cell stack as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method for predicting the service life of a fuel cell stack as described in any one of claims 1 to 7.

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