CN114889499B - Control method and device for fuel cell-lithium battery hybrid power system - Google Patents
Control method and device for fuel cell-lithium battery hybrid power system Download PDFInfo
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- 239000000446 fuel Substances 0.000 title claims abstract description 220
- 238000000034 method Methods 0.000 title claims abstract description 98
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 65
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 27
- 230000008859 change Effects 0.000 claims description 36
- 238000001228 spectrum Methods 0.000 claims description 34
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- 238000002485 combustion reaction Methods 0.000 description 4
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- 238000005457 optimization Methods 0.000 description 2
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- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
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- 238000004134 energy conservation Methods 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/40—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for controlling a combination of batteries and fuel cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/40—Application of hydrogen technology to transportation, e.g. using fuel cells
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Abstract
The application discloses a control method and a device for a fuel cell-lithium battery hybrid power system, comprising the following steps: acquiring the current state of charge of a vehicle-mounted lithium battery; determining a target charge range to which the current charge state belongs from a plurality of preset charge ranges; determining a target fuel electric power strategy corresponding to a target charge range based on a preset corresponding relation; controlling the electric power output of the vehicle-mounted fuel cell based on the target electric power strategy; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset variable load slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on the charge preset condition in the virtual vehicle running environment. The method and the device can obtain the charge fluctuation meeting the charge preset condition, and can improve the whole vehicle dynamic property and the economy of the fuel cell automobile while protecting the service life of the fuel cell.
Description
Technical Field
The present disclosure relates to the field of fuel cells, and in particular, to a method and an apparatus for controlling a hybrid power system of a fuel cell and a lithium battery.
Background
The fuel cell automobile is an important branch of an electric automobile, has the advantages of energy conservation, zero emission, no pollution, high efficiency and the like, and is considered as an ideal scheme of a new energy automobile. Because the fuel cell engine has the defects of softer output characteristic, reaction delay during starting, poor transient response and the like, an auxiliary power battery is often equipped in an automobile power system taking the fuel cell as a main power source, and a common fuel-electricity-lithium-battery hybrid power system is formed.
For the current fuel-lithium battery hybrid fuel cell automobile, the whole automobile VCU mostly adopts a step-type energy management strategy, and only a small part of passenger automobiles adopt a power following type energy management strategy. For a 'step-type' energy management strategy, the fuel cell engine only outputs at a plurality of fixed power points, the power output of the fuel cell engine is in one-to-one correspondence with the SOC range of the lithium battery, the energy management strategy is unfavorable for the dynamic performance of the whole vehicle, and for a fuel cell commercial vehicle with longer idle speed requirement, the SOC of the lithium battery is easily lifted too high, and finally, the fuel cell is started and stopped for a plurality of times in the running process, so that the service life of the fuel cell is unfavorable to be protected.
Disclosure of Invention
The application provides a control method and a control device for a fuel cell-lithium battery hybrid power system, which can obtain the charge fluctuation meeting the charge preset condition, and can improve the whole vehicle dynamic property and the economy of a fuel cell automobile while protecting the service life of the fuel cell.
In one aspect, the present application provides a fuel cell-lithium battery hybrid system control method, the method comprising:
acquiring the current state of charge of a vehicle-mounted lithium battery;
determining a target charge range to which the current charge state belongs from a plurality of preset charge ranges;
determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation represents the association relation between the preset charge ranges and the preset fuel electric power strategies;
controlling the electric power output of the vehicle-mounted fuel cell based on the target electric power strategy;
the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset load changing slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on the charge preset condition in a virtual vehicle running environment.
In another aspect, the present application provides a fuel cell-lithium battery hybrid system control apparatus, including:
a first acquisition module: the method comprises the steps of obtaining the current state of charge of a vehicle-mounted lithium battery;
a first determination module: the target charge range is used for determining the current charge state from a plurality of preset charge ranges;
a second determination module: determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation represents the association relation between the preset charge ranges and the preset fuel electric power strategies; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset load changing slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on charge preset conditions in a virtual vehicle running environment;
a first control module: for controlling the electric power fuel output of the on-board fuel cell based on the target electric power fuel strategy.
In another aspect, the present application provides a computer readable storage medium having stored therein at least one instruction or at least one program loaded by a processor and executing the fuel cell-lithium battery hybrid system control method as described above.
In another aspect, the present application provides an electronic device for implementing the above-mentioned fuel cell-lithium battery hybrid system control method, where the electronic device includes a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the above-mentioned fuel cell-lithium battery hybrid system control method.
The control method and the device for the fuel cell-lithium battery hybrid power system have the following beneficial effects:
in a virtual vehicle running environment, optimizing an initial fuel electric power strategy based on a charge preset condition to obtain a preset fuel electric power strategy; in the actual vehicle running process, the fuel power output of the vehicle-mounted fuel cell is controlled based on the target fuel power strategy corresponding to the target charge range, so that the charge fluctuation meeting the charge preset condition can be obtained, the service life of the fuel cell is prolonged, and the overall vehicle dynamic property and the economical efficiency of the fuel cell automobile can be improved.
Drawings
In order to more clearly illustrate the technical solutions and advantages of embodiments of the present application or of the prior art, the following description will briefly introduce the drawings that are required to be used in the embodiments or the prior art descriptions, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a control method of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a method provided in an embodiment of the present application before acquiring a current state of charge of a vehicle-mounted lithium battery;
FIG. 3 is a schematic flow chart of a method for obtaining simulated state of charge information in a simulation running process according to an embodiment of the present application;
FIG. 4 is a diagram of simulated state of charge information during a simulation operation provided in an embodiment of the present application;
FIG. 5 is a flowchart of a method provided in the embodiment of the present application if the charge comparison result does not satisfy the charge preset condition;
FIG. 6 is a schematic flow chart of a method for optimizing initial output power and initial load variation slope based on a charge comparison result according to an embodiment of the present application;
fig. 7 is a flowchart of a method for obtaining an initial output power and an initial load change slope according to an embodiment of the present application;
fig. 8 is a flowchart of a method for obtaining a power spectrum of a whole vehicle according to an embodiment of the present application;
fig. 9 is an actual road spectrogram of a target vehicle according to an embodiment of the present application;
fig. 10 is a diagram of a whole vehicle required power spectrum of a target vehicle according to an embodiment of the present application;
FIG. 11 is a flowchart of a method for determining a preset fuel power strategy according to an embodiment of the present disclosure;
fig. 12 is a schematic structural diagram of a control device of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application;
fig. 13 is a block diagram of a hardware structure of an electronic device for implementing a control method of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application.
Detailed Description
In order to enable those skilled in the art to better understand the solution of the present application, the technical solution of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The following describes a control method of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application with reference to fig. 1, which may be applied to a fuel cell-lithium battery hybrid fuel cell vehicle, and is particularly suitable for a fuel cell commercial vehicle with a relatively fixed driving route, such as a hydrogen fuel bus and an sanitation vehicle.
Fig. 1 is a schematic flow chart of a control method of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application, please refer to fig. 1, and the control method of a fuel cell-lithium battery hybrid power system according to an embodiment of the present application includes:
s101, acquiring the current charge state of a vehicle-mounted lithium battery;
in the embodiment of the application, the current charge state of a lithium battery of a target vehicle is firstly obtained; the current state of charge represents the state of charge of the lithium battery at a moment in the driving process of the target vehicle, and the state of charge represents the ratio of the residual capacity of the lithium battery to the capacity of the full state of charge of the lithium battery, and is usually expressed by percentage.
S103, determining a target charge range to which the current charge state belongs from a plurality of preset charge ranges;
in the embodiment of the application, the vehicle lithium battery of the target vehicle is provided with a plurality of preset charge ranges, and the preset charge range corresponding to the current charge state, namely the target charge range, can be determined according to the current charge state of the vehicle lithium battery.
S105, determining a target fuel electric power strategy corresponding to a target charge range based on a preset corresponding relation, wherein the preset corresponding relation represents the association relation between a plurality of preset charge ranges and a plurality of preset fuel electric power strategies; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset variable load slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on the charge preset condition in the virtual vehicle running environment;
in the embodiment of the application, a target electric power combustion strategy corresponding to a target electric charge range is determined based on a preset corresponding relation, wherein the preset corresponding relation characterizes the corresponding relation between a plurality of preset electric charge ranges and a plurality of preset electric power combustion strategies; and according to the preset corresponding relation, determining a target fuel electric power strategy corresponding to the target charge range.
In this embodiment, the preset fuel electric power strategy includes a preset power output mode, a preset output power, and a preset load change slope, or the preset fuel electric power strategy includes a preset power output mode and a preset output power.
Specifically, the preset power output mode represents a mode of fuel electric power output of the vehicle-mounted fuel cell, the preset output power represents a magnitude of fuel electric power output of the vehicle-mounted fuel cell, and the preset load change slope represents a change slope of the fuel electric power dynamic output of the vehicle-mounted fuel cell.
Specifically, in the virtual vehicle running environment, based on the charge preset condition, the initial output power and the initial load change slope are optimized and adjusted, and the optimized and updated initial output power and initial load change slope meeting the charge preset condition are used as the preset output power and the preset load change slope.
In this embodiment of the present application, the plurality of preset charging ranges includes a first charging range, a second charging range and a third charging range, where the charging values sequentially increase, specifically, the first charging range may be [0,40%), the second charging range may be [40%,80% ], and the third charging range may be (80%, 100% ].
In the embodiment of the application, the preset power output mode includes a constant load output mode and a variable load output mode; the constant load output mode represents that the fuel electric output power of the vehicle-mounted fuel cell is a power value with a fixed size, and the variable load output mode represents that the fuel electric output power of the vehicle-mounted fuel cell dynamically changes along with the required power of the whole vehicle.
In the embodiment of the application, the preset output power includes a first power threshold, a second power threshold and a third power threshold, wherein the second power threshold indicates an upper power limit of the vehicle-mounted fuel cell in a variable load output mode.
In this embodiment of the present application, determining, based on a preset correspondence, a target electric power policy corresponding to a target electric charge range includes:
if the target charge range is the first charge range, determining that a preset power output mode of the target fuel electric power strategy is a constant load output mode and the corresponding preset output power is a first power threshold;
if the target charge range is the second charge range, determining that the preset power output mode of the target fuel electric power strategy is a variable load output mode, wherein the corresponding preset output power is smaller than or equal to a second power threshold value, and the variable load slope of the variable load output mode is a preset variable load slope;
if the target charge range is the third charge range, determining that the preset power output mode of the target fuel electric power strategy is a constant load output mode, and the corresponding preset output power is a third power threshold.
In another embodiment, the plurality of preset charge ranges includes a first charge range, a second charge range, a third charge range, and a fourth charge range with sequentially increasing charge values, specifically, the first charge range may be [0,40%), the second charge range may be [40%,80% ], the third charge range may be (80%, 90), and the fourth charge range may be (90, 100% ].
Correspondingly, determining the target fuel electric power strategy corresponding to the target charge range based on the preset corresponding relation comprises the following steps:
if the target charge range is the first charge range, determining that a preset power output mode of the target fuel electric power strategy is a constant load output mode and the corresponding preset output power is a first power threshold;
if the target charge range is the second charge range, determining that the preset power output mode of the target fuel electric power strategy is a variable load output mode, wherein the corresponding preset output power is smaller than or equal to a second power threshold value, and the variable load slope of the variable load output mode is a preset variable load slope;
if the target charge range is the third charge range, determining that the preset power output mode of the target fuel electric power strategy is a constant load output mode and the corresponding preset output power is a third power threshold;
if the target charge range is the fourth charge range, determining that the preset power output mode of the target fuel electric power strategy is a constant load output mode and the corresponding preset output power is 0.
S107, controlling the fuel electric power output of the vehicle-mounted fuel cell based on the target fuel electric power strategy.
In the embodiment of the application, the fuel power output of the vehicle-mounted fuel cell is controlled based on the preset power output mode and the preset output power and the preset load change slope of the target fuel power strategy, or the fuel power output of the vehicle-mounted fuel cell is controlled based on the preset power output mode and the preset output power of the target fuel power strategy.
Further, if the preset power output mode of the target fuel electric power strategy is the constant load output mode, controlling the output power of the vehicle-mounted fuel cell to be the preset output power corresponding to the target fuel electric power strategy.
Specifically, if the target charge range is the first charge range, determining a preset power output mode of the target fuel electric power strategy as a constant load output mode, and controlling the output power of the vehicle-mounted fuel cell to be a first power threshold;
and if the target charge range is the third charge range, determining a preset power output mode of the target fuel electric power strategy as a constant load output mode, and controlling the output power of the vehicle-mounted fuel cell to be a third power threshold.
In another embodiment, specifically, if the target charging range is the first charging range, determining that a preset power output mode of the target fuel electric power strategy is a constant load output mode, and controlling the output power of the vehicle-mounted fuel cell to be a first power threshold;
if the target charge range is the third charge range, determining a preset power output mode of the target fuel electric power strategy as a constant load output mode, and controlling the output power of the vehicle-mounted fuel cell to be a third power threshold;
if the target charge range is the fourth charge range, determining a preset power output mode of the target fuel electric power strategy as a constant load output mode, and controlling the output power of the vehicle-mounted fuel cell to be 0.
Meanwhile, if the preset power output mode of the target fuel electric power strategy is a variable load output mode, acquiring the whole vehicle required power of the target vehicle;
specifically, under the condition that the whole vehicle required power is smaller than or equal to a second power threshold value, controlling the output power of the vehicle-mounted fuel cell to dynamically change along with the whole vehicle required power, wherein the variable load slope in the dynamic change process of the output power is a preset variable load slope;
specifically, under the condition that the required power of the whole vehicle is larger than the second power threshold, the output power of the vehicle-mounted fuel cell is controlled to be the second power threshold.
In this embodiment, referring to fig. 2, before the current state of charge of the vehicle-mounted lithium battery is obtained, the control method of the fuel cell-lithium battery hybrid power system further includes:
s201, acquiring initial corresponding relations between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies, wherein the initial fuel electric power strategies comprise corresponding initial power output modes, initial output power and initial load changing slopes;
in the embodiment of the present application, the initial correspondence corresponding to the preset correspondence represents a correspondence between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies.
In the embodiment of the application, the initial fuel electric power strategy corresponding to the preset fuel electric power strategy includes a corresponding initial power output mode, initial output power and initial load variation slope, or the initial fuel electric power strategy includes a corresponding initial power output mode and initial output power.
Specifically, the initial power output modes include a constant load output mode and a variable load output mode.
Specifically, in the virtual vehicle operating environment, the initial fuel electric power strategy is optimized based on the charge preset condition to obtain a preset fuel electric power strategy.
S203, in a virtual vehicle running environment, controlling a target vehicle to perform simulation running based on an initial corresponding relation, and obtaining simulation charge state information in a simulation running process;
in this embodiment, please refer to fig. 3, in a virtual vehicle operation environment, performing a simulation operation on a target vehicle to obtain simulated state of charge information in a simulation operation process, including:
s301, obtaining a virtual current charge state of a vehicle-mounted lithium battery;
s303, determining a virtual target charge range to which the virtual current charge state belongs from a plurality of preset charge ranges;
s305, determining a target initial fuel electric power strategy corresponding to a virtual target charge range based on an initial corresponding relation, wherein the initial corresponding relation represents the corresponding relation between a plurality of preset charge ranges and the initial fuel electric power strategies;
s307, controlling virtual fuel power output of the vehicle-mounted fuel cell based on the target initial fuel power strategy until the simulation operation is finished;
S309, obtaining the simulated state of charge information in the simulation running process.
Referring to fig. 4, fig. 4 is a schematic diagram of simulated state of charge information in a simulation running process according to an embodiment of the present application.
So far, the simulated state of charge information of the target vehicle in the whole simulation running process is obtained, and the simulated state of charge information characterizes the corresponding relation between the virtual state of charge of the lithium battery of the target vehicle and the simulation running time.
S205, comparing the simulated state of charge information with reference state of charge information to obtain a charge comparison result;
in this embodiment of the present application, the charge comparison result includes a first charge comparison result and a second charge comparison result.
In the embodiment of the application, the simulated state of charge information comprises a maximum charge value, a minimum charge value and a termination charge value corresponding to the simulation operation ending time of the lithium battery of the target vehicle in the simulation operation process; the reference charge state information comprises a reference maximum charge wave range of the lithium battery of the target vehicle in the simulation operation process and a reference termination charge range corresponding to the simulation operation ending time.
Specifically, the reference maximum charge wave range may be 10%, and the reference termination charge range may be [40%,80% ].
In this embodiment of the present application, comparing the simulated state of charge information with the reference state of charge information to obtain a charge comparison result includes:
performing difference calculation based on the maximum charge value and the minimum charge value to obtain a charge maximum difference value; comparing the maximum charge difference value with a reference maximum charge electric wave range to obtain a first charge comparison result;
and comparing the termination charge value with a reference termination charge range to obtain a second charge comparison result.
S207, if the charge comparison result meets the charge preset condition, taking the initial fuel electric power strategy as a preset fuel electric power strategy.
In this embodiment of the present application, the preset charging conditions include a first preset charging condition and a second preset charging condition, where:
if the first charge comparison result is that the maximum charge difference value is smaller than or equal to the reference maximum charge wave range, the first charge comparison result meets a first charge preset condition;
if the second charge comparison result is that the termination charge value is within the reference termination charge range, the second charge comparison result meets a second charge preset condition.
In this embodiment of the present application, the charge comparison result is determined, if the first charge comparison result meets a first charge preset condition, and the second charge comparison result meets a second charge preset condition, an initial power strategy is used as a preset power strategy, specifically, an initial output power is used as a preset output power, and an initial load change slope is used as a preset load change slope.
In this embodiment, please refer to fig. 5, if the charge comparison result does not meet the charge preset condition, optimizing the initial output power and the initial load change slope based on the charge comparison result until the charge comparison result corresponding to the obtained updated initial fuel power policy meets the charge preset condition, including:
s501, if the charge comparison result does not meet the charge preset condition, optimizing the initial output power and the initial variable load slope based on the charge comparison result until the charge comparison result corresponding to the updated initial fuel electric power strategy meets the charge preset condition;
in this embodiment, please refer to fig. 6, if the charge comparison result does not meet the charge preset condition, optimizing the initial output power and the initial load change slope based on the charge comparison result until the charge comparison result corresponding to the obtained updated initial fuel power policy meets the charge preset condition, including:
s601, if a charge comparison result does not meet a charge preset condition, carrying out amplification updating on an initial variable load slope based on a first change rate and/or carrying out amplitude modulation updating on initial output power based on a second change rate to obtain an updated initial fuel power strategy;
In this embodiment of the present application, if the first charge comparison result indicates that the maximum charge difference is greater than the reference maximum charge electric wave range, the first charge preset condition is not satisfied, and the initial load change slope is updated by amplification based on the first change rate, specifically, the first change rate may be 10%.
In this embodiment of the present application, the upper limit of the reference termination charge range is the reference charge upper limit, and the lower limit of the reference termination charge range is the reference charge lower limit.
In this embodiment of the present application, the initial output power corresponding to the preset output power includes a first initial power threshold, a second initial power threshold, and a third initial power threshold, where the first initial power threshold, the second initial power threshold, and the third initial power threshold correspond to the first power threshold, the second power threshold, and the third power threshold, respectively.
If the second charge comparison result indicates that the termination charge value is not within the reference termination charge range, the second charge preset condition is not satisfied, and the termination charge value is smaller than the reference charge lower limit, the first initial power threshold is updated in an amplification manner based on the second change rate, and specifically, the first change rate may be 10%.
If the second charge comparison result indicates that the termination charge value is not within the reference termination charge range, the second charge preset condition is not satisfied, and the termination charge value is greater than the reference charge upper limit, the third initial power threshold is updated in a reducing manner based on the second change rate, and specifically, the first change rate may be 10%.
In another embodiment, more specifically, if the second charge comparison result is that the termination charge value is not within the reference termination charge range, the second preset condition for charge is not satisfied, and the termination charge value is greater than 90%, the third initial power threshold is updated to 0.
Up to this point, an updated initial fuel electric power strategy is obtained.
S603, repeatedly executing simulation operation and comparison processing steps based on the updated initial fuel electric power strategy until the obtained charge comparison result meets the charge preset condition.
S503, determining the updated initial fuel electric power strategy meeting the charging preset condition as a preset fuel electric power strategy.
In the embodiment of the application, the updated first initial power threshold, the updated third initial power threshold and the updated initial variable load slope which meet the charging preset condition are respectively and correspondingly determined as the first power threshold, the third power threshold and the preset variable load slope.
In this embodiment, please refer to fig. 7, the initial output power and the initial load change slope are obtained by:
s701, acquiring vehicle attribute parameters and a vehicle demand power spectrum of a target vehicle, wherein the vehicle attribute parameters comprise rated power and idle power of a vehicle-mounted fuel cell, and the vehicle demand power spectrum characterizes the corresponding relation between the vehicle demand power and running time of the target vehicle under actual running working conditions;
In the embodiment of the application, the vehicle attribute parameters further comprise parameters such as the whole vehicle no-load quality, the whole vehicle full-load quality, the air-conditioning power, the speed ratio of the gearbox, the driving mode and the like.
In this embodiment, please refer to fig. 8, the whole vehicle power demand spectrum includes the following modes:
s801, acquiring an actual road spectrum of a target vehicle, wherein the actual road spectrum characterizes a corresponding relation between the vehicle speed and the running time of the target vehicle under an actual running condition;
in this embodiment of the present application, under an actual running condition, a corresponding relationship between a speed and a running time of a target vehicle is collected to obtain an actual road spectrum of the target vehicle, please refer to fig. 9.
S803, calculating the required power of the target vehicle based on the actual road spectrum and the vehicle attribute parameters, and generating a whole vehicle required power spectrum.
In this embodiment of the present application, the vehicle demand power of the target vehicle is calculated according to the actual road spectrum of the target vehicle and the vehicle attribute parameter of the target vehicle, so as to obtain the vehicle demand power spectrum, please refer to fig. 10.
S703, determining a first initial power threshold value and a third initial power threshold value based on rated power and idle power, wherein the first initial power threshold value is smaller than or equal to rated power, and the third initial power threshold value is smaller than or equal to idle power;
In this embodiment of the present application, the rated power is calculated by product based on the first calculation rate, so as to obtain a first initial power threshold, specifically, the first calculation rate may be 70%, where the first initial power threshold is less than or equal to the rated power; and carrying out product calculation on the idle power based on the second calculation rate to obtain a third initial power threshold, wherein the second calculation rate can be 90% specifically, and the third initial power threshold is smaller than or equal to the idle power.
S705, determining the whole vehicle demand power corresponding to the preset time duty ratio in the whole vehicle demand power spectrum as a second initial power threshold;
in this embodiment of the present application, the vehicle demand power corresponding to the preset time duty ratio in the vehicle demand power spectrum is determined as the second initial power threshold, specifically, the preset time duty ratio may be 80%, that is, the second initial power threshold may cover 80% of the operation conditions of the target vehicle.
S707, calculating the slope of the second initial power threshold based on a preset slope algorithm to obtain an initial variable load slope.
In this embodiment of the present application, the initial load-changing slope includes an initial load-reducing slope and an initial load-reducing slope, and the preset slope algorithm includes a first preset slope calculation rate and a second preset slope calculation rate.
In this embodiment of the present application, the product calculation is performed on the second initial power threshold based on the first preset slope calculation rate, so as to obtain an initial loading slope, and specifically, the first preset slope calculation rate may be 10%; and carrying out product calculation on the second initial power threshold value based on the second preset slope calculation rate to obtain an initial load shedding slope, wherein the second preset slope calculation rate can be 20%.
The following describes a control method of a fuel cell-lithium battery hybrid power system according to the present application in conjunction with a specific application scenario, and fig. 11 is a schematic flow chart of a method for determining a preset fuel electric power strategy according to an embodiment of the present application, where the method includes:
s1, acquiring vehicle attribute parameters and a whole vehicle required power spectrum of a target vehicle, wherein the vehicle attribute parameters comprise rated power and idle power of a vehicle-mounted fuel cell.
S2, determining a first initial power threshold value and a third initial power threshold value based on rated power and idle power, wherein the first initial power threshold value is smaller than or equal to the rated power, and the third initial power threshold value is smaller than or equal to the idle power.
S3, determining the whole vehicle demand power corresponding to the preset time duty ratio in the whole vehicle demand power spectrum as a second initial power threshold.
S4, calculating the slope of the second initial power threshold based on a preset slope algorithm to obtain an initial variable load slope.
Specifically, an initial fuel electric power strategy is generated based on the first, second, and third initial power thresholds and the initial load ramp rate.
S5, in the virtual vehicle running environment, controlling the target vehicle to perform simulation running based on the initial corresponding relation, and obtaining simulation charge state information in the simulation running process; the initial correspondence characterizes a correspondence between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies.
Specifically, the simulated state of charge information comprises a maximum charge value, a minimum charge value and a termination charge value corresponding to the simulation operation ending time of the lithium battery of the target vehicle in the simulation operation process, and difference calculation is carried out based on the maximum charge value and the minimum charge value to obtain a charge maximum difference value.
S6, comparing the simulated charge state information with the reference charge state information to obtain a charge comparison result.
Specifically, the reference charge state information includes a reference maximum charge electric range of the lithium battery of the target vehicle in the simulation operation process and a reference termination charge range corresponding to the simulation operation ending time.
S7, judging whether the charge comparison result meets the condition that the charge maximum difference value is smaller than the reference maximum charge electric wave range and the termination charge value is in the reference termination charge range, if yes, executing the step S13, and if no, executing the step S8.
S8, judging whether the termination charge value is not in the reference termination charge range, if yes, executing the step S9, and if no, executing the step S10.
S9, judging whether the termination charge value is larger than a reference termination charge range, if so, executing the step S12, and if not, executing the step S11.
S10, carrying out amplification updating on the initial variable load slope based on the first change rate.
S11, carrying out amplification updating on the first initial power threshold value based on the second change rate.
S12, performing damping update on the third initial power threshold value based on the second change rate.
So far, the updated initial fuel electric power strategy is obtained, and the steps S5-S12 are repeatedly executed based on the updated initial fuel electric power strategy until the obtained charge comparison result meets the condition that the maximum charge difference value is smaller than the reference maximum charge electric wave range and the ending charge value is in the reference ending charge range.
S113, generating a preset fuel electric power strategy based on the initial fuel electric power strategy.
As can be seen from the control method of the fuel cell-lithium battery hybrid power system provided by the embodiment of the application, the embodiment of the application obtains the current state of charge of the vehicle-mounted lithium battery; determining a target charge range to which the current charge state belongs from a plurality of preset charge ranges; determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation characterizes the association relation between a plurality of preset charge ranges and a plurality of preset fuel electric power strategies; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset variable load slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on the charge preset condition in the virtual vehicle running environment; controlling the electric power output of the vehicle-mounted fuel cell based on the target electric power strategy; in the control method of the fuel cell-lithium battery hybrid power system, in a virtual vehicle running environment, an initial fuel electric power strategy is optimized based on a charge preset condition to obtain a preset fuel electric power strategy; in the actual vehicle running process, the fuel power output of the vehicle-mounted fuel cell is controlled based on the target fuel power strategy corresponding to the target charge range, so that the charge fluctuation meeting the charge preset condition can be obtained, the service life of the fuel cell is prolonged, and the overall vehicle dynamic property and the economical efficiency of the fuel cell automobile can be improved.
The embodiment of the application also provides a control device of a fuel cell-lithium battery hybrid power system, please refer to fig. 12, and the control device of the fuel cell-lithium battery hybrid power system provided in the embodiment of the application includes:
the first acquisition module 1210: the method comprises the steps of obtaining the current state of charge of a vehicle-mounted lithium battery;
the first determination module 1220: the method comprises the steps of determining a target charge range to which a current charge state belongs from a plurality of preset charge ranges;
the second determination module 1230: determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation characterizes the association relation between a plurality of preset charge ranges and a plurality of preset fuel electric power strategies; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset variable load slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on the charge preset condition in the virtual vehicle running environment;
the first control module 1240: for controlling the electric power output of the on-board fuel cell based on the target electric power strategy.
In this embodiment of the present application, further includes:
And a second acquisition module: the method comprises the steps of acquiring initial corresponding relations between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies, wherein the initial fuel electric power strategies comprise corresponding initial power output modes, initial output power and initial load changing slopes;
and a third determination module: the method comprises the steps that in a virtual vehicle running environment, a target vehicle is controlled to perform simulation running based on an initial corresponding relation, and simulation charge state information in a simulation running process is obtained;
a first processing module: the charge state comparison method comprises the steps of comparing analog charge state information with reference charge state information to obtain a charge comparison result;
a fourth determination module: and if the charge comparison result meets the charge preset condition, taking the initial fuel electric power strategy as a preset fuel electric power strategy.
In this embodiment of the present application, further includes:
a first optimization module: if the charge comparison result does not meet the charge preset condition, optimizing the initial output power and the initial variable load slope based on the charge comparison result until the charge comparison result corresponding to the updated initial fuel power strategy meets the charge preset condition;
a fifth determination module: and determining an updated initial electric power combustion strategy meeting the charge preset condition as a preset electric power combustion strategy.
In this embodiment of the present application, the third determining module includes:
a first acquisition unit: the virtual current charge state of the vehicle-mounted lithium battery is obtained;
a first determination unit: the virtual target charge range is used for determining the virtual current charge state from a plurality of preset charge ranges;
a second determination unit: the method comprises the steps of determining a target initial fuel electric power strategy corresponding to a virtual target charge range based on an initial corresponding relation, wherein the initial corresponding relation characterizes corresponding relations between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies;
a first control unit: the virtual fuel power output of the vehicle-mounted fuel cell is controlled based on the target initial fuel power strategy until the simulation operation is finished;
a third determination unit: the method is used for obtaining the simulated state of charge information in the simulation running process.
In this embodiment of the present application, the first optimization module includes:
a first optimizing unit: if the charge comparison result does not meet the charge preset condition, carrying out amplification update on the initial variable load slope based on the first change rate and/or carrying out amplitude modulation update on the initial output power based on the second change rate to obtain an updated initial fuel power strategy;
a fourth determination unit: and repeatedly executing simulation operation and comparison processing steps based on the updated initial fuel electric power strategy until the obtained charge comparison result meets the charge preset condition.
In this embodiment of the present application, further includes:
and a third acquisition module: the method comprises the steps that vehicle attribute parameters and a vehicle demand power spectrum of a target vehicle are obtained, wherein the vehicle attribute parameters comprise rated power and idle power of a vehicle-mounted fuel cell, and the vehicle demand power spectrum characterizes the corresponding relation between the vehicle demand power and running time of the target vehicle under actual running conditions;
a sixth determination module: the method comprises the steps of determining a first initial power threshold value and a third initial power threshold value based on rated power and idle power, wherein the first initial power threshold value is smaller than or equal to rated power, and the third initial power threshold value is smaller than or equal to idle power;
seventh determination module: the method comprises the steps of determining the whole vehicle required power corresponding to a preset time duty ratio in a whole vehicle required power spectrum as a second initial power threshold;
an eighth determination module: and the slope calculation module is used for calculating the slope of the second initial power threshold based on a preset slope algorithm to obtain an initial variable load slope.
In this embodiment of the present application, the third obtaining module further includes:
a second acquisition unit: the method comprises the steps of acquiring an actual road spectrum of a target vehicle, wherein the actual road spectrum represents a corresponding relation between the vehicle speed of the target vehicle under an actual running condition and running time;
Fifth determining unit: the method is used for calculating the required power of the target vehicle based on the actual road spectrum and the vehicle attribute parameters, and generating a whole vehicle required power spectrum.
The apparatus and method embodiments in the apparatus embodiments described above are based on the same application concept.
Referring to fig. 13, an embodiment of the present application provides an electronic device for implementing the above-mentioned fuel cell-lithium battery hybrid system control method, where the electronic device includes a processor and a memory, and at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the fuel cell-lithium battery hybrid system control method provided in the above-mentioned method embodiment.
The memory may be used to store software programs and modules that the processor executes to perform various functional applications and data processing by executing the software programs and modules stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for functions, and the like; the storage data area may store data created according to the use of the device, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory may also include a memory controller to provide access to the memory by the processor.
The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal, a server, or a similar computing device, i.e., the electronic device may include a mobile terminal, a computer terminal, a server, or a similar computing device. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligence platforms. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc.
Fig. 13 is a block diagram of a hardware structure of an electronic device for implementing the above-described control method of a fuel cell-lithium battery hybrid system according to an embodiment of the present application. As shown in fig. 13, the electronic device 1300 may vary considerably in configuration or performance, and may include one or more central processing units (Central Processing Units, CPU) 1310 (the processor 1310 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA), a memory 1330 for storing data, one or more storage mediums 1320 (e.g., one or more mass storage devices) for storing applications 1323 or data 1322. Wherein the memory 1330 and the storage medium 1320 may be transitory or persistent. The program stored on the storage medium 1320 may include one or more modules, each of which may include a series of instruction operations in the electronic device. Still further, the central processor 1310 may be configured to communicate with a storage medium 1320 to execute a series of instruction operations in the storage medium 1320 on the electronic device 1300. The electronic device 1300 may also include one or more power supplies 1360, one or more wired or wireless network interfaces 1350, one or more input/output interfaces 1340, and/or one or more operating systems 1321, such as Windows Server TM ，Mac OS X TM ，Unix TM ,Linux TM ，FreeBSD TM Etc.
The processor 1310 may be an integrated circuit chip with signal processing capabilities such as a general purpose processor, such as a microprocessor or any conventional processor, digital signal processor (DSP, digital Signal Processor), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like.
Input output interface 1340 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communications provider of the electronic device 1300. In one example, i/o interface 1340 includes a network adapter (Network Interface Controller, NIC) that may be connected to other network devices via a base station to communicate with the internet. In one example, the input/output interface 1340 may be a Radio Frequency (RF) module for wirelessly communicating with the internet.
The operating system 1321 may include system programs, such as a framework layer, a core library layer, a driver layer, etc., for handling various basic system services and performing hardware-related tasks, as well as for handling hardware-based tasks.
It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 13 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the electronic device 1300 may also include more or fewer components than shown in fig. 13, or have a different configuration than shown in fig. 13.
Embodiments of the present application also provide a computer readable storage medium that may be disposed in an electronic device to store at least one instruction or at least one program related to implementing a fuel cell-lithium battery hybrid system control method in a method embodiment, where the at least one instruction or the at least one program is loaded and executed by the processor to implement the fuel cell-lithium battery hybrid system control method provided in the method embodiment.
Alternatively, in this embodiment, the storage medium may be located in at least one network server among a plurality of network servers of the computer network. Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from the computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the methods provided in the various alternative implementations described above.
It should be noted that: the foregoing sequence of the embodiments of the present application is only for describing, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, where the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
Claims (10)
1. A fuel cell-lithium battery hybrid system control method, characterized by comprising:
acquiring initial corresponding relations between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies, wherein the initial fuel electric power strategies comprise corresponding initial power output modes and at least one of initial output power and initial load changing slope;
acquiring the current state of charge of a vehicle-mounted lithium battery;
determining a target charge range to which the current charge state belongs from a plurality of preset charge ranges;
determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation represents the association relation between the preset charge ranges and the preset fuel electric power strategies;
Controlling the electric power output of the vehicle-mounted fuel cell based on the target electric power strategy;
the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset load changing slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on charge preset conditions in a virtual vehicle running environment; the initial output power comprises a first initial power threshold, a second initial power threshold and a third initial power threshold, and the initial output power and the initial load change slope are obtained by adopting the following modes: acquiring a vehicle attribute parameter and a vehicle demand power spectrum of a target vehicle, wherein the vehicle attribute parameter comprises rated power and idle power of the vehicle-mounted fuel cell, and the vehicle demand power spectrum represents a corresponding relation between the vehicle demand power and running time of the target vehicle under actual running working conditions; determining the whole vehicle demand power corresponding to the preset time duty ratio in the whole vehicle demand power spectrum as the second initial power threshold; and calculating the slope of the second initial power threshold based on a preset slope algorithm to obtain the initial variable load slope.
2. The fuel cell-lithium battery hybrid system control method according to claim 1, wherein the plurality of preset charge ranges includes a first charge range, a second charge range, and a third charge range in which charge values are sequentially increased; the preset power output mode comprises a fixed load output mode and a variable load output mode, and the preset output power comprises a first power threshold value, a second power threshold value and a third power threshold value;
the determining the target fuel electric power strategy corresponding to the target charge range based on the preset corresponding relation comprises the following steps:
if the target charging range is the first charging range, determining that the preset power output mode of the target fuel electric power strategy is the constant load output mode, and the corresponding preset output power is the first power threshold;
if the target charge range is the second charge range, determining that the preset power output mode of the target fuel electric power strategy is the variable load output mode, and the corresponding preset output power is smaller than or equal to the second power threshold, wherein the variable load slope of the variable load output mode is the preset variable load slope;
And if the target charge range is the third charge range, determining that the preset power output mode of the target fuel electric power strategy is the constant load output mode, and the corresponding preset output power is the third power threshold.
3. The fuel cell-lithium battery hybrid system control method according to claim 2, wherein the controlling the electric power output of the in-vehicle fuel cell based on the target electric power-on-fuel strategy includes:
and if the preset power output mode of the target fuel electric power strategy is the constant load output mode, controlling the output power of the vehicle-mounted fuel cell to be the preset output power corresponding to the target fuel electric power strategy.
4. The fuel cell-lithium battery hybrid system control method according to claim 3, characterized in that the method further comprises:
if the preset power output mode of the target fuel electric power strategy is the variable load output mode, acquiring the whole vehicle required power of the target vehicle;
controlling the output power of the vehicle-mounted fuel cell to dynamically change along with the whole vehicle demand power under the condition that the whole vehicle demand power is smaller than or equal to the second power threshold, wherein the load-changing slope in the dynamic change process of the output power is the preset load-changing slope;
And controlling the output power of the vehicle-mounted fuel cell to be the second power threshold under the condition that the whole vehicle required power is larger than the second power threshold.
5. The fuel cell-lithium battery hybrid system control method according to any one of claims 1 to 4, characterized in that, before the acquisition of the current state of charge of the in-vehicle lithium battery, the method further comprises:
in the virtual vehicle running environment, controlling the target vehicle to perform simulation running based on the initial corresponding relation to obtain simulated charge state information in the simulation running process;
comparing the simulated state of charge information with reference state of charge information to obtain a charge comparison result;
and if the charge comparison result meets the charge preset condition, taking the initial fuel electric power strategy as the preset fuel electric power strategy.
6. The fuel cell-lithium battery hybrid system control method according to claim 5, characterized in that the method further comprises:
if the charge comparison result does not meet the charge preset condition, optimizing the initial output power and the initial load change slope based on the charge comparison result until the charge comparison result corresponding to the obtained updated initial fuel power strategy meets the charge preset condition;
And determining an updated initial fuel electric power strategy meeting the charging preset condition as the preset fuel electric power strategy.
7. The fuel cell-lithium battery hybrid system control method according to claim 5, characterized in that the method further comprises:
the first initial power threshold and the third initial power threshold are determined based on the rated power and the idle power, the first initial power threshold is less than or equal to the rated power, and the third initial power threshold is less than or equal to the idle power.
8. The fuel cell-lithium battery hybrid power system control method according to claim 7, wherein the whole vehicle required power spectrum includes the following means:
acquiring an actual road spectrum of the target vehicle, wherein the actual road spectrum represents a corresponding relation between the vehicle speed of the target vehicle under an actual running condition and running time;
and calculating the required power of the target vehicle based on the actual road spectrum and the vehicle attribute parameters, and generating the whole vehicle required power spectrum.
9. The method according to claim 6, wherein optimizing the initial output power and the initial load change slope based on the charge comparison result if the charge comparison result does not satisfy the charge preset condition until the charge comparison result corresponding to the updated initial fuel power strategy satisfies the charge preset condition, comprises:
If the charge comparison result does not meet the charge preset condition, carrying out amplification updating on the initial variable load slope based on a first change rate and/or carrying out amplitude modulation updating on the initial output power based on a second change rate to obtain an updated initial fuel electric power strategy;
and repeatedly executing the simulation operation and the comparison processing step based on the updated initial fuel electric power strategy until the obtained charge comparison result meets the charge preset condition.
10. A fuel cell-lithium battery hybrid power system control apparatus, characterized by comprising:
and a second acquisition module: the method comprises the steps of acquiring initial correspondence between a plurality of preset charge ranges and a plurality of initial fuel electric power strategies, wherein the initial fuel electric power strategies comprise corresponding initial power output modes and at least one of initial output power and initial load changing slope, the initial output power comprises a first initial power threshold value, a second initial power threshold value and a third initial power threshold value, and the initial output power and the initial load changing slope are acquired by adopting the following modes: acquiring a vehicle attribute parameter and a vehicle demand power spectrum of a target vehicle, wherein the vehicle attribute parameter comprises rated power and idle power of a vehicle-mounted fuel cell, and the vehicle demand power spectrum represents a corresponding relation between the vehicle demand power and running time of the target vehicle under an actual running condition; determining the whole vehicle demand power corresponding to the preset time duty ratio in the whole vehicle demand power spectrum as the second initial power threshold; performing slope calculation on the second initial power threshold value based on a preset slope algorithm to obtain the initial variable load slope;
A first acquisition module: the method comprises the steps of obtaining the current state of charge of a vehicle-mounted lithium battery;
a first determination module: the target charge range is used for determining the current charge state from a plurality of preset charge ranges;
a second determination module: determining a target fuel electric power strategy corresponding to the target charge range based on a preset corresponding relation, wherein the preset corresponding relation represents the association relation between the preset charge ranges and the preset fuel electric power strategies; the preset fuel electric power strategy comprises a preset power output mode and at least one of preset output power and preset load changing slope; the preset output power and the preset variable load slope are obtained by optimizing the initial output power and the initial variable load slope based on charge preset conditions in a virtual vehicle running environment;
a first control module: for controlling the electric power fuel output of the on-board fuel cell based on the target electric power fuel strategy.
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