Fuel cell vehicle energy management method

Abstract

The invention provides a fuel cell vehicle energy management method, which comprises the following steps of: analyzing a fuel cell and a power cell to obtain fuel cell efficiency, power cell efficiency, fuel cell recession condition, power cell recession condition and power cell # imgabs0 #, and further calculating equivalent hydrogen consumption; inputting the power battery # imgabs1 # and the required power of the whole vehicle into a fuzzy controller for data processing to obtain the output power of the fuel cell; and carrying out evaluation management on the service life and energy consumption balance of the fuel cell and the power cell by taking the equivalent hydrogen consumption, the decline degree of the fuel cell and the decline degree of the power cell as energy management strategy evaluation indexes. By increasing the power variation limit value of the fuel cell, the actual variable load capacity of the fuel cell system is closer, and the influence of the power fluctuation of the fuel cell on the service life is reduced; and when the SOC of the fuel cell is very small, the fuel cell can operate at the minimum power instead of being directly shut down, so that the start-stop times of the fuel cell system can be reduced, and the service life of the fuel cell is prolonged.

Description

Technical Field

[0001] The present invention is a fuel cell vehicle energy management method, which relates to the technical field of fuel cells. Background Art

[0002] Fuel cells convert the chemical energy of hydrogen and oxygen directly into electrical energy through electrochemical reactions. At the anode, hydrogen is decomposed into hydrogen ions and electrons under the action of a catalyst. The electrons flow to the cathode through an external circuit and combine with oxygen to form water. This process does not produce harmful emissions and almost achieves zero emissions. Fuel cells are widely used in automobiles. They have the advantages of high efficiency, environmental protection, and long driving range. They are considered to be one of the important solutions for future sustainable transportation. The service life of fuel cells and the management of energy consumption balance are important links in technology research and development.

[0003] The existing patent CN115476735A discloses a composite energy management method, device, equipment and storage medium. This invention patent determines whether the fuel cell system is turned on according to the preset switch control rules, and calculates the vehicle power demand and power battery under different working conditions of the current vehicle. As the input signal of the fuel cell system; when it is determined that the fuel cell system is turned on, the fuzzy output power is obtained through fuzzy control calculation, and the output power is smoothed by a sliding average filter to obtain a smooth output power; when it is determined that the fuel cell system is turned off, the fuel cell system is controlled to be turned off. Although the existing technology solves the problem that the frequent and large-amplitude fluctuations in the fuel cell load will reduce its durability and output efficiency, the excessive change in the charging and discharging of the power battery under certain working conditions will cause the battery to have a shortened life and safety problems caused by overcharging and over-discharging. However, the following disadvantages still exist: 1. The fuzzy controller only has the vehicle power demand and power battery Two input signals make it impossible to accurately control the increase or decrease of the fuel cell output power; 2. The fuel cell output power ratio coefficient is used to directly calculate the fuel cell output power, without considering the variable load capability of the actual fuel cell engine output power; 3. Using a switch controller to control the on or off of the fuel cell system causes the fuel cell system to start and stop frequently during use, thereby reducing the life of the fuel cell; 4. The same fuzzy rule is used for both the vehicle power requirement ≥ 0 and the vehicle power requirement < 0, which makes it impossible to accurately control the increase or decrease of the fuel cell output power during normal driving and energy recovery; 5. There are too many fuzzy subsets of vehicle power requirements, which makes the fuzzy control method unsuitable for different types of driving conditions. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a fuel cell vehicle energy management method to solve the problem that the existing strategy only considers the energy consumption of the fuel cell vehicle, but does not consider the service life of the fuel cell and the power battery, and cannot well control the variable load range and the number of times the fuel cell system can be started when the vehicle is in working state. The specific technical solution is: A fuel cell vehicle energy management method, comprising: By analyzing the fuel cell and power battery, the fuel cell efficiency, power battery efficiency, fuel cell degradation, power battery degradation and power battery , and then calculate the equivalent hydrogen consumption; The power battery and vehicle power requirements The data is input into the fuzzy controller for data processing to obtain the output power of the fuel cell; The equivalent hydrogen consumption, fuel cell degradation degree and power battery degradation degree are used as energy management strategy evaluation indicators to evaluate and manage the two indicators of vehicle energy consumption and fuel cell and power battery life.

[0005] Preferably, the fuel cell efficiency is calculated by the following formula: ; In the formula, is the fuel cell efficiency, Output power for the fuel cell.

[0006] Furthermore, the power battery efficiency is calculated by the following formula: ; In the formula, For power battery charging efficiency, is the power battery discharge efficiency, is the charging internal resistance of the power battery at each state of charge, The internal resistance of the power battery discharge at each state of charge; Output power for the power battery, It is the open circuit voltage of the power battery.

[0007] Preferably, the vehicle requires power Pre-processing is performed before inputting into the fuzzy controller. If the vehicle requires power <The minimum output power of the fuel cell, the vehicle power is provided by the power battery; if the vehicle requires power continuous If the time is 0, the fuel cell is turned off and the fuel cell output power is 0; If the vehicle requires continuous power If the time is not 0, a double-layer fuzzy controller is used; the vehicle demand power , Power battery The fuzzy coefficient is input into the first-layer fuzzy controller, and the fuel cell output power corresponding to the first-layer fuzzy controller is output according to the fuzzy rule; the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is input into the second fuzzy controller, and the fuzzy coefficient is output according to the fuzzy rule and used as the fuzzy coefficient of the first-layer fuzzy controller.

[0008] Furthermore, the equivalent hydrogen consumption is calculated as follows: The hydrogen consumption of the fuel cell is calculated as follows: ; In the formula, is the number of fuel cells, is the molar mass of hydrogen, represents the number of electron reactions per mole of hydrogen, is the Faraday constant, is the fuel cell current; The equivalent hydrogen consumption of the power battery is calculated as follows: ; In the formula, is the lower calorific value of hydrogen, , is the average efficiency of the fuel cell, for The average converter efficiency, is the average charging efficiency of the power battery, is the average discharge efficiency of the power battery, The charging and discharging power of the power battery; The additional hydrogen consumption due to fuel cell aging is defined as the hydrogen consumption corresponding to aging, and its expression is as follows: ; The hydrogen consumption of the whole vehicle is the sum of the above three, as shown below: ; In the formula, is the fuel cell engine power, Before the fuel cell engine deteriorates Output power at power, For fuel cell engines Power voltage decay value.

[0009] Furthermore, the fuzzy rule for the fuel cell output power corresponding to the first-layer fuzzy controller output according to the fuzzy rule is as follows: , the power battery is used to provide power for the vehicle. When the vehicle requires more power, the fuel cell is started. Power battery , then the power battery and fuel cell work together and the fuel cell can charge the power battery. The fuel cell provides the power required by the entire vehicle and charges the power battery; the fuzzy rule for outputting the fuzzy coefficient according to the fuzzy rule is that the difference between the fuel cell output power corresponding to the output of the second-layer fuzzy controller at the next moment and the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is within a preset range.

[0010] Preferably, the fuel cell model of the fuel cell receives the fuel cell output power signal, performs logic processing to obtain the fuel cell efficiency, fuel cell and fuel cell degradation.

[0011] Furthermore, the fuel cell efficiency is obtained by fitting a fuel cell power-efficiency curve using a fitting coefficient.

[0012] Furthermore, the fuel cell Expressed in the form of fuel cell stack voltage: ; In the formula, is the stack voltage; is the fuel cell current; is the number of fuel cells; is the operating temperature, is the Tafel constant, is the concentration constant; is the open circuit voltage at specified temperature and pressure; is the total resistance; is the exchange current; is the limiting current; For working hours.

[0013] Furthermore, the fuel cell degradation is determined by the total degradation of the fuel cell voltage, specifically: ; In the formula, is the total decay of the power battery voltage, is the performance degradation coefficient caused by the low power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 10%-30% of the rated power. is the performance degradation coefficient caused by the high power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 80%-100% of the rated power. is the fuel cell engine degradation coefficient caused by fuel cell engine power load variation, For working hours, is the fuel cell engine power, is the performance degradation coefficient caused by the number of starts and stops of the fuel cell engine, The number of times the fuel cell engine is started and stopped.

[0014] Preferably, the power battery model of the power battery receives the power battery output power signal, performs logic processing to obtain the power battery efficiency, power battery and power battery degradation.

[0015] Preferably, the power battery It is calculated through the power battery current. The specific calculation is as follows: ; In the formula, is the initial charge state of the power battery, is the rated capacity of the power battery, is the total integration time, It is the charging and discharging current of the power battery; The power battery charge and discharge current is calculated by inputting the power battery open circuit voltage, the power battery output power and the power battery equivalent internal resistance into a power battery current calculation model.

[0016] Furthermore, the power battery degradation is represented by its performance decay rate: ; in is the degradation coefficient, the ideal gas constant , is the operating temperature, is the battery activation energy, Refers to the power battery in the process The absolute value of the cumulative change.

[0017] The present invention can be closer to the variable load capacity of an actual fuel cell system by increasing the limit value of the fuel cell power variation, thereby reducing the influence of fuel cell power fluctuation on its life. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a logic flow chart of a fuel cell vehicle energy management method of the present invention.

[0019] Figure 2 It is a logic block diagram of the fuel cell model of the present invention.

[0020] Figure 3 It is a logic block diagram of the power battery model of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0022] like Figure 1 As shown, the present invention provides a fuel cell vehicle energy management method based on life and energy consumption balance, adopts a fuzzy controller to design an energy management strategy, and realizes the function of reducing equivalent hydrogen consumption and increasing the service life of fuel cells and power batteries. Specifically, it includes: By analyzing the fuel cell and power battery, we can get the fuel cell efficiency, power battery efficiency, fuel cell degradation, power battery degradation, fuel cell and power batteries , and then calculate the equivalent hydrogen consumption; It refers to the state of nuclear power; The power battery and vehicle power requirements The data is input into the fuzzy controller for data processing to obtain the output power of the fuel cell; The equivalent hydrogen consumption, fuel cell degradation degree and power battery degradation degree are used as energy management strategy evaluation indicators to evaluate and manage the energy consumption balance and the life of fuel cells and power batteries. The two indicators of vehicle energy consumption and the life of fuel cells and power batteries are mainly evaluated through the optimal life cycle use cost. The life cycle use cost includes fuel costs and the cost of replacing parts. The fuel cost reflects energy consumption, and the cost of replacing parts reflects the life of the fuel cell engine and power battery.

[0023] Preferably, the vehicle requires power Pre-processing is performed before inputting into the fuzzy controller. If the vehicle requires power <The minimum output power of the fuel cell is 30kw, which is the power required by the vehicle If the vehicle requires power, the power of the vehicle is provided by the power battery. continuous If the time is 0, the fuel cell is turned off and the fuel cell output power is 0; If the vehicle requires continuous power If the time is not 0, a double-layer fuzzy controller is used; the vehicle demand power , Power battery The fuzzy coefficient is input into the first-layer fuzzy controller, and the fuel cell output power corresponding to the first-layer fuzzy controller is output according to the fuzzy rule; the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is input into the second fuzzy controller, and the fuzzy coefficient is output according to the fuzzy rule and used as the fuzzy coefficient of the first-layer fuzzy controller.

[0024] Furthermore, the fuzzy rule for the fuel cell output power corresponding to the first-layer fuzzy controller output according to the fuzzy rule is as follows: , the vehicle mainly relies on the power battery to provide power to the vehicle. When the vehicle requires a large amount of power, the fuel cell is started. Power battery , the power battery and fuel cell work together and the fuel cell occasionally charges the power battery. The specific output values ​​of the two are constantly adjusted according to the hydrogen consumption. If the power battery , the fuel cell provides the power required by the entire vehicle and charges the power battery as quickly as possible; the fuzzy rule that outputs the fuzzy coefficient according to the fuzzy rule is that the difference between the fuel cell output power corresponding to the output of the second-layer fuzzy controller at the next moment and the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is within a preset range.

[0025] Specifically, the fuzzy rule outputting the fuzzy coefficient according to the fuzzy rule is to ensure that the difference between the fuel cell output power output by the second fuzzy controller at the next moment and the fuel cell output power output by the first fuzzy controller at the previous moment is within For example, if the fuel cell output power input to the second fuzzy controller is , then the output coefficient is So the fuel cell output power output by the first layer fuzzy controller is around The power fluctuation of the fuel cell can be controlled to reduce the degradation of the fuel cell and increase its service life.

[0026] The input membership function of the first-layer fuzzy controller is as follows: Input a "power battery ", ranging from a1-c3, is divided into three blur amounts, namely low [a1 0a2], medium [b1 b2 b3], and high [c1 c2 c3].

[0027] Input 2: Vehicle power requirement ", ranging from d1 to d19, is divided into 7 fuzzy quantities, namely one [d1 d2], two [d3 d4], three [d5 d6 d7], four [d8 d9 d10], five [d11 d12 d13], six [d14 d15 d16], and seven [d17d18 d19].

[0028] Enter three "fuzzy coefficients" ranging from e1-e18, and divide them into seven fuzzy amounts, namely one [e1 0 e2], two [0e3 e4], three [e5 e6 e7], four [e8 e9 e10], five [e11 e12 e13], six [e14 e15 e16], and seven [e17 e18e19].

[0029] Output "fuel cell output power", range f1-f20, divide it into 7 fuzzy quantities, namely one [f1 f2f3], two [f4 f5 f6], three [f7 f8 f9], four [f10 f11 f12], five [f13 f14 f15], six [f16 f17f18], seven [f19 f20 f21].

[0030] The membership function of the second-layer fuzzy controller is as follows: The input is "the fuel cell output power output by the first fuzzy controller at the previous moment", ranging from h1 to h21, which is divided into 7 fuzzy quantities, namely 1[h1 h2 h3], 2[h4 h5 h6], 3[h7 h8 h9], 4[h10 h11 h12], 5[h13 h14 h15], 6[h16 h17 h18], and 7[h19 h20 h21].

[0031] The output is "fuzzy coefficient" in the range of g1-g21, which is divided into 7 fuzzy amounts, namely 1[g1 g2 g3], 2[g4g5 g6], 3[g7 g8 g9], 4[g10 g11 g12], 5[g13 g14 g15], 6[g16 g17 g18], and 7[g19 g20g21].

[0032] Preferably, Figure 2 As shown, the fuel cell model of the fuel cell receives the fuel cell output power signal, performs logic processing to obtain the fuel cell efficiency, fuel cell SOC and fuel cell degradation.

[0033] The fuel cell efficiency is calculated by the following formula: ; In the formula, is the fuel cell efficiency, Output power for the fuel cell.

[0034] Furthermore, the fuel cell efficiency is obtained by fitting the fuel cell power-efficiency curve using a fitting coefficient. The fuel cell efficiency is obtained by logically processing the fuel cell output power through the fuel cell efficiency model. The model is established to facilitate the subsequent calculation of hydrogen consumption and to facilitate the analysis of whether the fuel cell is working in the high-efficiency zone, mainly based on whether the fuel cell engine working efficiency is greater than 50%, to determine whether the fuel cell engine is working in the high-efficiency zone.

[0035] Furthermore, the performance of a fuel cell stack depends on the relationship between the output current and voltage of the fuel cell at different temperatures. The relationship between the voltage and current density of a fuel cell is called a polarization curve. The fuel cell SOC is expressed in the form of the fuel cell stack voltage: ; In the formula, is the stack voltage; is the fuel cell current; is the number of fuel cells; is the operating temperature, is the Tafel constant, is the concentration constant; is the open circuit voltage at specified temperature and pressure; is the total resistance; is the exchange current; is the limiting current; is the working time. According to the formula, as the fuel cell usage time increases, the fuel cell curve will change, which is roughly manifested as a decrease in voltage under the same current.

[0036] Furthermore, the operational factors that affect the life of the fuel cell are mainly divided into four categories: frequent start-stop, low-power operation, high-power operation and transient load. Assuming that the contribution of each factor to voltage degradation is independent of each other, the fuel cell degradation is determined by the total degradation of the fuel cell voltage, specifically: ; In the formula, is the total decay of the power battery voltage, is the performance degradation coefficient caused by the low power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 10%-30% of the rated power. is the performance degradation coefficient caused by the high power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 80%-100% of the rated power. is the fuel cell engine degradation coefficient caused by fuel cell engine power load variation, For working hours, is the fuel cell engine power, is the performance degradation coefficient caused by the number of starts and stops of the fuel cell engine, The number of times the fuel cell engine is started and stopped.

[0037] The model processes the input signal "fuel cell output power" to obtain the output signal "fuel cell voltage decay". It mainly includes four subsystems: the first subsystem is the idle time, which is used to calculate the fuel cell output power <Minimum fuel cell output power The second subsystem is the reload time, and its function is to calculate > The third subsystem is power fluctuation, which is used to calculate and accumulate the power fluctuation value at each moment; the fourth subsystem is the number of starts and stops, which is used to count the number of starts and stops of the fuel cell. The output of each subsystem is multiplied by each coefficient and finally accumulated to obtain the fuel cell voltage decay value during vehicle operation. Among them, the idle speed and heavy load standards are calibration parameters set according to requirements, and power fluctuation refers to the power change rate at each moment.

[0038] like Figure 3 As shown, the power battery model of the power battery receives the power battery output power signal, performs logical processing to obtain the power battery efficiency, power battery and power battery degradation.

[0039] The power battery efficiency is calculated by the following formula: ; In the formula, For power battery charging efficiency, is the power battery discharge efficiency, is the charging internal resistance of the power battery at each state of charge, The internal resistance of the power battery discharge at each state of charge; Output power for the power battery, It is the open circuit voltage of the power battery.

[0040] The power battery efficiency model provides the power battery charging and discharging efficiency for the subsequent power battery equivalent hydrogen consumption calculation. The input signal is "power battery output power" and the output signal "power battery ", "Power battery charge and discharge efficiency". The power battery current calculation model uses the input signals of "power battery open circuit voltage", "power battery output power", and "power battery equivalent internal resistance" as input signals, and the output signal is "power battery charge and discharge current". The above parameters are all provided by the power battery manufacturer. It is calculated through the power battery current. The specific calculation is as follows: ; In the formula, is the initial charge state of the power battery, is the rated capacity of the power battery, is the total integration time, It is the charging and discharging current of the power battery; The power battery charge and discharge current is calculated by inputting the power battery open circuit voltage, the power battery output power and the power battery equivalent internal resistance into a power battery current calculation model.

[0041] Preferably, the performance degradation of the lithium battery system is defined as the percentage of capacity loss compared to the original value after a period of operation. This depends on the activation energy, number of cycles, operating temperature and operating time of the battery. The degradation of the power battery is represented by its performance decay rate: ; in is the degradation coefficient, the ideal gas constant , is the operating temperature, is the battery activation energy, Refers to the power battery in the process The absolute value of the cumulative change.

[0042] The equivalent hydrogen consumption is calculated as follows: The hydrogen consumption of the fuel cell is calculated as follows: ; In the formula, is the number of fuel cells, is the molar mass of hydrogen, represents the number of electron reactions per mole of hydrogen, is the Faraday constant, is the fuel cell current; During the battery discharge process, The fuel cell system needs to replenish energy to maintain That is, at some future moment, the fuel cell will increase its output power by charging the battery to compensate for the battery discharge, thus ensuring Maintain balance. This compensatory charging occurs under predictive conditions, so the operating efficiency of fuel cells and power batteries is uncertain and is usually assumed to be an average value. Similarly, during battery charging, due to the forward-looking nature of the energy consumption process, the efficiency of the relevant components is also considered to be an average value. Based on the above principles, the equivalent hydrogen consumption of the power battery is calculated as follows: ; In the formula, is the lower calorific value of hydrogen, , is the average efficiency of the fuel cell, for The average converter efficiency, is the average charging efficiency of the power battery, is the average discharge efficiency of the power battery, The charging and discharging power of the power battery; As the fuel cell voltage decreases, the fuel cell current needs to increase to maintain the same power output, which results in an increase in instantaneous hydrogen consumption. The additional hydrogen consumption due to fuel cell aging is defined as aging-related hydrogen consumption, which is expressed as follows: ; The hydrogen consumption of the whole vehicle is the sum of the above three, as shown below: ; In the formula, is the fuel cell engine power, Before the fuel cell engine deteriorates Output power at power, For fuel cell engines Power voltage decay value.

[0043] The present invention can be closer to the variable load capacity of the actual fuel cell system by increasing the fuel cell power variation limit, reducing the impact of fuel cell power fluctuation on its life; When the fuel cell is very small, it can run at the minimum power instead of shutting down directly, thereby reducing the number of starts and stops of the fuel cell system and extending the life of the fuel cell. This solves the problem that the existing strategy only considers the energy consumption of fuel cell vehicles, but does not consider the service life of fuel cells and power batteries, and cannot well control the variable load range and the number of times the fuel cell system can be started under variable load frequency when the vehicle is in working state.

[0044] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A fuel cell vehicle energy management method, characterized in that: include: By analyzing the fuel cell and power battery, the fuel cell efficiency, power battery efficiency, fuel cell degradation, power battery degradation and power battery , and then calculate the equivalent hydrogen consumption; The power battery and vehicle power requirements The data is input into the fuzzy controller for data processing to obtain the output power of the fuel cell; The equivalent hydrogen consumption, fuel cell degradation degree and power battery degradation degree are used as energy management strategy evaluation indicators to evaluate and manage the two indicators of vehicle energy consumption and fuel cell and power battery life.

2. A fuel cell vehicle energy management method according to claim 1, characterized in that: The fuel cell efficiency is calculated by the following formula: ； In the formula, is the fuel cell efficiency, Output power for the fuel cell.

3. A fuel cell vehicle energy management method according to claim 2, characterized in that: The power battery efficiency is calculated by the following formula: ； In the formula, For power battery charging efficiency, is the power battery discharge efficiency, is the charging internal resistance of the power battery at each state of charge, The discharge internal resistance of the power battery at each state of charge; Output power for the power battery, It is the open circuit voltage of the power battery.

4. A fuel cell vehicle energy management method according to claim 1, characterized in that: The vehicle power requirement Pre-processing is performed before inputting into the fuzzy controller. If the vehicle requires power <The minimum output power of the fuel cell, the vehicle power is provided by the power battery; if the vehicle requires power continuous If the time is 0, the fuel cell is turned off and the fuel cell output power is 0; If the vehicle requires continuous power If the time is not 0, a double-layer fuzzy controller is used; the vehicle demand power , Power battery The fuzzy coefficient is input into the first-layer fuzzy controller, and the fuel cell output power corresponding to the first-layer fuzzy controller is output according to the fuzzy rule; the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is input into the second fuzzy controller, and the fuzzy coefficient is output according to the fuzzy rule and used as the fuzzy coefficient of the first-layer fuzzy controller.

5. A fuel cell vehicle energy management method according to claim 3, characterized in that: The equivalent hydrogen consumption is calculated as follows: The hydrogen consumption of the fuel cell is calculated as follows: ； In the formula, is the number of fuel cells, is the molar mass of hydrogen, represents the number of electron reactions per mole of hydrogen, is the Faraday constant, is the fuel cell current; The equivalent hydrogen consumption of the power battery is calculated as follows: ； In the formula, is the lower calorific value of hydrogen, , is the average efficiency of the fuel cell, for The average converter efficiency, is the average charging efficiency of the power battery, is the average discharge efficiency of the power battery, The charging and discharging power of the power battery; The additional hydrogen consumption due to fuel cell aging is defined as the hydrogen consumption corresponding to aging, and its expression is as follows: ； The hydrogen consumption of the whole vehicle is the sum of the above three, as shown below: ； In the formula, is the fuel cell engine power, Before the fuel cell engine deteriorates Output power at power, For fuel cell engines Power voltage decay value.

6. A fuel cell vehicle energy management method according to claim 2, characterized in that: The fuzzy rule for the fuel cell output power corresponding to the first layer fuzzy controller output according to the fuzzy rule is as follows: , the power battery is used to provide power for the vehicle. When the vehicle requires more power, the fuel cell is started. Power battery , then the power battery and fuel cell work together and the fuel cell can charge the power battery. The fuel cell provides the power required by the entire vehicle and charges the power battery; the fuzzy rule for outputting the fuzzy coefficient according to the fuzzy rule is that the difference between the fuel cell output power corresponding to the output of the second-layer fuzzy controller at the next moment and the fuel cell output power corresponding to the output of the first-layer fuzzy controller at the previous moment is within a preset range.

7. A fuel cell vehicle energy management method according to claim 1, characterized in that: The fuel cell model of the fuel cell receives the fuel cell output power signal, performs logical processing to obtain the fuel cell efficiency, fuel cell and fuel cell degradation.

8. A fuel cell vehicle energy management method according to claim 7, characterized in that: The fuel cell efficiency is obtained by fitting the fuel cell power-efficiency curve using a fitting coefficient.

9. A fuel cell vehicle energy management method according to claim 7, characterized in that: The fuel cell Expressed in the form of fuel cell stack voltage: ； In the formula, is the stack voltage; is the fuel cell current; is the number of fuel cells; is the operating temperature, is the Tafel constant, is the concentration constant; is the open circuit voltage at specified temperature and pressure; is the total resistance; is the exchange current; is the limiting current; For working hours.

10. A fuel cell vehicle energy management method according to claim 7, characterized in that: The fuel cell degradation is determined by the total degradation of the fuel cell voltage, specifically: ； In the formula, is the total decay of the power battery voltage, is the performance degradation coefficient caused by the low power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 10%-30% of the rated power. is the performance degradation coefficient caused by the high power area of ​​the fuel cell, The proportion of time when the fuel cell engine power is 80%-100% of the rated power. is the fuel cell engine degradation coefficient caused by fuel cell engine power load variation, For working hours, is the fuel cell engine power, is the performance degradation coefficient caused by the number of starts and stops of the fuel cell engine, The number of times the fuel cell engine is started and stopped.

11. A fuel cell vehicle energy management method according to claim 1, characterized in that: The power battery model of the power battery receives the power battery output power signal, performs logic processing to obtain the power battery efficiency, power battery and power battery degradation.

12. A fuel cell vehicle energy management method according to claim 1, characterized in that: The power battery It is calculated through the power battery current. The specific calculation is as follows: ； In the formula, is the initial charge state of the power battery, is the rated capacity of the power battery, is the total integration time, It is the charging and discharging current of the power battery; The power battery charge and discharge current is calculated by inputting the power battery open circuit voltage, the power battery output power and the power battery equivalent internal resistance into a power battery current calculation model.

13. A fuel cell vehicle energy management method according to claim 11, characterized in that: The power battery degradation is represented by its performance decay rate: ； in is the degradation coefficient, the ideal gas constant , is the operating temperature, is the battery activation energy, Refers to the power battery in the process The absolute value of the cumulative change.

Images