CN113002369A - Control strategy acquisition method of vehicle-mounted fuel cell system and related device - Google Patents
Control strategy acquisition method of vehicle-mounted fuel cell system and related device Download PDFInfo
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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
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/10—Vehicle control parameters
- B60L2240/12—Speed
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/64—Road conditions
- B60L2240/642—Slope of road
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/64—Road conditions
- B60L2240/645—Type of road
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
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Abstract
The application provides a control strategy acquisition method and a related device of a vehicle-mounted fuel cell system, which are applied to an electric vehicle, wherein the method comprises the following steps: acquiring a road condition strategy corresponding to the preset condition; acquiring current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition; and acquiring a control strategy corresponding to the current road condition information according to the current road condition information, wherein the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval. The road condition strategy corresponding to the preset condition is obtained, the current road condition information of the driving direction of the electric vehicle is obtained according to the road condition strategy, and then the corresponding control strategy is obtained, so that the work of the fuel cell system is controlled, the actual efficiency of the fuel cell system is kept in the optimal efficiency period for a longer time, and the service life of core parts of the fuel cell system is prolonged.
Description
Technical Field
The present disclosure relates to the field of fuel cell technologies, and in particular, to a method and an apparatus for acquiring a control strategy of a vehicle-mounted fuel cell system, an electronic device, an electric vehicle, and a computer-readable storage medium.
Background
A fuel cell is a chemical device that directly converts chemical energy of fuel into electrical energy, and is also called an electrochemical generator. The fuel cell mainly uses hydrogen as fuel and oxygen as oxidant to directly convert the chemical energy of the fuel into electric energy, is not limited by Carnot cycle, can continuously run for a long time as long as enough fuel and oxygen exist, has the characteristics of high specific energy, low noise, no pollution, zero emission, high energy conversion efficiency and the like, and can be widely applied to various fields of small-sized power stations, communication power supplies, robot power supplies, automobiles, power systems, family life and the like. Fuel cell technology is considered to be the first clean, efficient power generation technology in the 21 st century. Fuel cells are classified into alkaline fuel cells, phosphoric acid fuel cells, proton exchange membrane fuel cells, molten carbonate fuel cells, solid oxide fuel cells, and the like, depending on the electrolyte.
In-vehicle fuel cells generally use oxygen as an oxidant to electrochemically react with hydrogen. The automotive engineering newspaper discloses a text of efficiency characteristic analysis of a starting process of a fuel cell engine in 2013, and indicates that: the hydrogen gas flow rate is large at the start of engine start-up (in-vehicle fuel cell) in order to sweep out impurity gases remaining in the anode of the fuel cell. When the current step rises, the hydrogen flow rate also rises, and due to the hysteresis of the solenoid valve with respect to the change in current, the hydrogen flow rate does not reach the steady state value directly, but rather lags to some extent and then gradually approaches the steady state value. The system efficiency of the fuel cell engine increases sharply with increasing start-up time, and slowly decreases with increasing start-up time after the system efficiency reaches a maximum value. Hydrogen utilization and auxiliary system power have a significant impact on system efficiency characteristics. In the process of frequent starting, stopping and speed changing of the electric vehicle, the speed and acceleration of the electric vehicle fluctuate very frequently, so that parameters such as the supply speed of fuel, the output power of a fuel cell and the like are required to change rapidly to adapt to the change of load, but the dynamic response of a vehicle-mounted fuel cell system has a certain time lag, the dynamic response process generally needs several seconds, but the electrochemical reaction engineering of hydrogen and oxygen is in the millisecond level, so that the vehicle-mounted fuel cell system is easy to work in a non-optimal efficiency range, and the service life of core parts of the vehicle-mounted fuel cell is influenced in the long past.
Disclosure of Invention
The application aims to provide a control strategy acquisition method and device of a vehicle-mounted fuel cell system, an electronic device, an electric vehicle and a computer-readable storage medium, wherein the actual efficiency of the vehicle-mounted fuel cell system can be kept within a preset efficiency interval for a long time, and the service life of main parts of the vehicle-mounted fuel cell system is prolonged.
The purpose of the application is realized by adopting the following technical scheme:
in a first aspect, the present application provides a method for obtaining a control strategy of a vehicle-mounted fuel cell system, which is applied to an electric vehicle including the vehicle-mounted fuel cell system, and includes: when the electric vehicle is detected to meet a preset condition, acquiring a road condition strategy corresponding to the preset condition; acquiring current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition; and acquiring a control strategy corresponding to the current road condition information according to the current road condition information, wherein the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval. The technical scheme has the advantages that the road condition strategy corresponding to the preset condition is obtained, the current road condition information of the driving direction of the electric vehicle is obtained according to the road condition strategy, and then the corresponding control strategy is obtained, so that the work of the fuel cell system is controlled, the actual efficiency of the fuel cell system is kept in the optimal efficiency period for a longer time, and the service life of core parts of the fuel cell system is prolonged.
In some optional embodiments, the method further comprises: and controlling the vehicle-mounted fuel cell system to work according to the control strategy corresponding to the current road condition information. The technical scheme has the advantages that the control strategy corresponding to the current road condition information is adopted to control the fuel cell system to work, and the utilization rate of the energy of the fuel cell system can be improved to the maximum extent.
In some optional embodiments, the preset condition is: the electric vehicle is positioned in a straight road section; the road condition strategy corresponding to the preset condition is as follows: acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by timely detecting the current road condition of the straight road section by road condition detection equipment arranged on the electric vehicle; and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle. The technical scheme has the advantages that for the electric vehicle running on the straight road section, the current road condition is timely detected according to the road condition detection equipment arranged on the electric vehicle, the current road condition detection data is obtained, and then the road condition information of the running direction of the electric vehicle is obtained and is used as the basis for obtaining the vehicle-mounted fuel cell system control strategy on the straight road section.
In some optional embodiments, the preset condition is: the electric vehicle is about to turn; the road condition strategy corresponding to the preset condition is as follows: acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system; and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle. The technical scheme has the advantages that the road condition detection equipment detects the current road condition of the driving road section before turning to obtain first current road section detection data, and the vehicle-road cooperation system detects the current road condition of the driving road section after turning in real time to obtain second current road condition detection data, so that the current road condition information of the current driving direction of the electric vehicle is obtained and is used as a basis for obtaining a vehicle-mounted fuel cell system control strategy when turning is about to occur; compared with the technical scheme that the road condition before turning can only be detected, the method and the device can also detect the road condition after turning, for example, the road section after turning is congested or not congested, not only can make a control strategy before turning, but also can make a control strategy after turning, so that a more accurate and longer-term control strategy is made, and the time occupation ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval is further improved.
In some optional embodiments, the preset condition is any one of: the road condition detection equipment arranged on the electric vehicle is damaged; the road condition detection equipment arranged on the electric vehicle is not started; the electric vehicle is not provided with road condition detection equipment; the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system; the road condition strategy corresponding to the preset condition is as follows: receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; or receiving current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system. The technical scheme has the advantages that if the electric vehicle is not provided with the road condition detection equipment or the set road condition detection equipment is damaged or is not started, or the electric vehicle is in a preset mode, the current road condition information of the driving direction of the electric vehicle can be obtained through the vehicle-road coordination system or the current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, so that the control strategy of the corresponding vehicle-mounted fuel cell system under the preset condition can be obtained through the road condition information.
In some optional embodiments, the current traffic information includes at least one of the following: the type of pavement; average vehicle speed; average slope; degree of road surface congestion; whether a traffic accident occurs at the current road section or not; whether an obstacle exists in the current road section; the control strategy corresponding to the current road condition information comprises at least one of the following: the output power of a single fuel cell; the output power of the fuel cell stack; and (4) a charge-discharge strategy of the hybrid power energy storage battery. The technical scheme has the advantages that one or more of the output power of a single fuel cell, the output power of a fuel cell stack and the charge-discharge strategy of a hybrid power energy storage battery are determined by considering the road surface type, the vehicle speed, the road surface gradient and the smoothness of a road section, so that the working condition of a fuel cell system can be effectively controlled, and the utilization rate of the battery can be improved.
In some optional embodiments, the obtaining a control policy corresponding to the current traffic information according to the current traffic information includes: obtaining a plurality of sample road condition information and a control strategy corresponding to each sample road condition information; training by using a deep learning model according to the multiple pieces of sample road condition information and the control strategy corresponding to each piece of sample road condition information to obtain a control strategy model; and inputting the current road condition information into the control strategy model to obtain a control strategy corresponding to the current road condition information. The technical scheme has the advantages that the control strategy model is obtained by utilizing deep model training according to a plurality of sample road condition information and the control strategy corresponding to each sample road condition information, so that the current road condition information can be input into the control strategy model to obtain the control strategy corresponding to the current road condition, and meanwhile, various road condition information can be identified and the control strategy can be accurately selected.
In some optional embodiments, the obtaining a control policy corresponding to the current traffic information according to the current traffic information includes: predicting to obtain the predicted running information of the electric vehicle according to the current road condition information; and obtaining a control strategy corresponding to the current road condition information according to the predicted driving information of the electric vehicle. The technical scheme has the advantages that the predicted driving information of the electric vehicle is predicted according to the current road condition information, and then the control strategy corresponding to the information of the current road condition is obtained.
In some optional embodiments, the obtaining of the control strategy corresponding to the current road condition information according to the predicted driving information of the electric vehicle includes: predicting to obtain the predicted electricity utilization information of the electric vehicle according to the predicted running information of the electric vehicle; and determining a control strategy corresponding to the current road condition information according to the predicted power utilization information of the electric vehicle. The technical scheme has the advantages that the predicted electricity utilization information of the electric vehicle is predicted according to the predicted running information of the electric vehicle, and the control strategy corresponding to the current road condition is determined according to the predicted electricity utilization information.
In a second aspect, the present application provides a control strategy acquisition apparatus for a vehicle-mounted fuel cell system, which is applied to an electric vehicle including the vehicle-mounted fuel cell system, the apparatus comprising: the road condition strategy module is used for acquiring a road condition strategy corresponding to a preset condition when the electric vehicle is detected to meet the preset condition; the information acquisition module is used for acquiring the current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition; and the control strategy module is used for acquiring a control strategy corresponding to the current road condition information according to the current road condition information, and the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval.
In some optional embodiments, the apparatus further comprises: and the system control module is used for controlling the vehicle-mounted fuel cell system to work according to the control strategy corresponding to the current road condition information.
In some optional embodiments, the preset condition is: the electric vehicle is positioned in a straight road section; the road condition strategy corresponding to the preset condition is as follows: acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the straight road section in real time by road condition detection equipment arranged on the electric vehicle; and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle.
In some optional embodiments, the preset condition is: the electric vehicle is about to turn; the road condition strategy corresponding to the preset condition is as follows: acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system; and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle.
In some optional embodiments, the preset condition is any one of: the road condition detection equipment arranged on the electric vehicle is damaged; the road condition detection equipment arranged on the electric vehicle is not started; the electric vehicle is not provided with road condition detection equipment; the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system; the road condition strategy corresponding to the preset condition is as follows: receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; or receiving current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system.
In some optional embodiments, the current traffic information includes at least one of the following: the type of pavement; average vehicle speed; average slope; degree of road surface congestion; whether a traffic accident occurs at the current road section or not; whether an obstacle exists in the current road section; the control strategy corresponding to the current road condition information comprises at least one of the following: the output power of a single fuel cell; the output power of the fuel cell stack; and (4) a charge-discharge strategy of the hybrid power energy storage battery.
In some optional embodiments, the control strategy module comprises: the system comprises a sample acquisition unit, a traffic information acquisition unit and a traffic information processing unit, wherein the sample acquisition unit is used for acquiring a plurality of sample traffic information and a control strategy corresponding to each sample traffic information; the model training unit is used for training by using a deep learning model according to the multiple pieces of sample road condition information and the control strategy corresponding to each piece of sample road condition information to obtain a control strategy model; and the information input unit is used for inputting the current road condition information into the control strategy model to obtain a control strategy corresponding to the current road condition information.
In some optional embodiments, the control strategy module comprises: the predicted driving unit is used for predicting to obtain the predicted driving information of the electric vehicle according to the current road condition information; and the strategy acquisition unit is used for acquiring a control strategy corresponding to the current road condition information according to the predicted running information of the electric vehicle.
In some optional embodiments, the policy obtaining unit includes: the electronic unit for forecasting is used for forecasting to obtain the electric power utilization forecasting information of the electric vehicle according to the running forecasting information of the electric vehicle; and the strategy determining subunit is used for determining a control strategy corresponding to the current road condition information according to the predicted power utilization information of the electric vehicle.
In a third aspect, the present application provides an electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
In a fourth aspect, the present application provides an electric vehicle comprising a housing, an on-board fuel cell system, and any one of the above-described electronic devices. The technical scheme has the advantages that the electronic equipment can comprise the memory and the processor, and the electronic equipment is applied to the electric vehicle, so that the automation level and the intelligence level of the electric vehicle can be improved.
In some optional embodiments, the electric vehicle further includes a road condition detection device disposed on the housing, where the road condition detection device includes at least one of: the device comprises a front-view camera, a left rear-view camera, a right rear-view camera, a positioning device, a millimeter wave radar, a left laser radar and a right laser radar. The technical scheme has the beneficial effects that the electric vehicle can acquire the current road condition information in real time according to the road condition detection equipment on the electric vehicle.
In a fifth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of any of the methods described above.
Drawings
The present application is further described below with reference to the drawings and examples.
Fig. 1 is a schematic flowchart of a control strategy acquisition method of a vehicle-mounted fuel cell system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating operation of an onboard fuel cell system according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a control strategy for acquiring current traffic information according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a control strategy for acquiring current traffic information according to an embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a control strategy for determining current traffic information according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a control strategy acquisition device of a vehicle-mounted fuel cell system according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a control strategy acquisition device of a vehicle-mounted fuel cell system according to an embodiment of the present application;
FIG. 8 is a schematic structural diagram of a control strategy module according to an embodiment of the present disclosure;
FIG. 9 is a schematic structural diagram of a control strategy module according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of a policy obtaining unit provided in an embodiment of the present application;
fig. 11 is a block diagram of an electronic device according to an embodiment of the present disclosure;
FIG. 12 is a schematic partial structural view of an electric vehicle according to an embodiment of the present application;
fig. 13 is a schematic partial structural view of an electric vehicle according to an embodiment of the present application;
fig. 14 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 15 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 16 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 17 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 18 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 19 is a partial schematic structural diagram of an electric vehicle according to an embodiment of the present application;
fig. 20 is a schematic structural diagram of a program product for implementing a control strategy acquisition method of an on-vehicle fuel cell system according to an embodiment of the present application.
Detailed Description
The present application is further described with reference to the accompanying drawings and the detailed description, and it should be noted that, in the present application, the embodiments or technical features described below may be arbitrarily combined to form a new embodiment without conflict.
Referring to fig. 1, an embodiment of the present application provides a control strategy obtaining method for a vehicle-mounted fuel cell system, which is applied to an electric vehicle, where the electric vehicle may be an electric vehicle, such as an electric car, an electric bus, and the like, and the electric vehicle includes the vehicle-mounted fuel cell system, and the method includes steps S101 to S103.
Step S101: and when the electric vehicle is detected to meet the preset condition, acquiring a road condition strategy corresponding to the preset condition.
In one embodiment, the preset conditions are: the electric vehicle is positioned in a straight road section; the road condition strategy corresponding to the preset condition is as follows: acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by timely detecting the current road condition of the straight road section by road condition detection equipment arranged on the electric vehicle; and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle.
Therefore, for the electric vehicle running on the straight road section, the current road condition is timely detected according to the road condition detection equipment arranged on the electric vehicle, the current road condition detection data is obtained, and then the road condition information of the running direction of the electric vehicle is obtained and is used as the basis for obtaining the control strategy of the vehicle-mounted fuel cell system on the straight road section.
In one embodiment, the preset conditions are: the electric vehicle is about to turn; the road condition strategy corresponding to the preset condition is as follows: acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system; and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle.
Detecting the current road condition of a running road section before turning by road condition detection equipment to obtain first current road condition detection data, detecting the current road condition of the running road section after turning in real time by a vehicle-road cooperation system to obtain second current road condition detection data, and further obtaining current road condition information of the current running direction of the electric vehicle, wherein the current road condition information is used as a basis for obtaining a vehicle-mounted fuel cell system control strategy when turning is about to occur; compared with the technical scheme that the road condition before turning can only be detected, the method and the device can also detect the road condition after turning, for example, the road section after turning is congested or not congested, not only can make a control strategy before turning, but also can make a control strategy after turning, so that a more accurate and longer-term control strategy is made, and the time occupation ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval is further improved.
In one embodiment, the preset condition is any one of the following conditions: the road condition detection equipment arranged on the electric vehicle is damaged; the road condition detection equipment arranged on the electric vehicle is not started; the electric vehicle is not provided with road condition detection equipment; the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system; the road condition strategy corresponding to the preset condition is as follows: receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; or receiving current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system.
If the electric vehicle is not provided with the road condition detection equipment or the set road condition detection equipment is damaged or not started, or the electric vehicle is in a preset mode, the current road condition information of the driving direction of the electric vehicle can be obtained through the vehicle-road coordination system or the current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, and the control strategy of the corresponding vehicle-mounted fuel cell system under the preset condition is obtained according to the road condition information.
Step S102: and acquiring the current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition.
In an embodiment, the current traffic information includes at least one of the following: the type of pavement; average vehicle speed; average slope; degree of road surface congestion; whether a traffic accident occurs at the current road section or not; whether an obstacle exists in the current road section; the control strategy corresponding to the current road condition information comprises at least one of the following: the output power of a single fuel cell; the output power of the fuel cell stack; and (4) a charge-discharge strategy of the hybrid power energy storage battery. Specifically, the fuel cell stack is composed of a plurality of individual fuel cells. The road surface type is, for example, level and bumpy, the average gradient is, for example, 10 degrees or 25 degrees, the road surface congestion degree is, for example, no congestion, light congestion, medium congestion, severe congestion, and extreme congestion, whether a traffic accident occurs on the current road section is, for example, "a traffic accident occurs on the current road section" or "no traffic accident occurs on the current road section", and whether an obstacle exists on the current road section is, for example, "an obstacle exists on the current road section" or "no obstacle exists on the current road section". The output power of the single fuel cell is 20W, the output power of the fuel cell stack is 600W, and the charge-discharge strategy of the energy storage cell is, for example, energy storage cell charging or energy storage cell discharging. Wherein, the energy storage battery can be a hybrid energy storage battery.
In a specific embodiment, when the current road condition information indicates that the road congestion degree is serious, the corresponding control strategy may be to reduce the output power of a single fuel cell and the output power of a fuel cell stack, and to adjust an energy storage battery to charge; in another embodiment, the current road condition information indicates that the slope of the ascending slope is relatively steep, and the corresponding control strategy may be to increase the output power of a single fuel cell and the output power of a fuel cell stack, and to cooperate with the regulation of the energy storage cell to perform discharging. The efficiency of the on-vehicle fuel cell system battery system can thereby be brought into a higher range.
Therefore, the method and the device consider the road surface type, the vehicle speed, the road surface gradient and whether the road section is smooth or not, determine one or more of the output power of a single fuel cell, the output power of a fuel cell stack and the charge-discharge strategy of the hybrid power energy storage battery, are favorable for effectively controlling the working condition of a fuel cell system and improving the utilization rate of the battery.
Step S103: and acquiring a control strategy corresponding to the current road condition information according to the current road condition information, wherein the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval.
And acquiring a road condition strategy corresponding to the preset condition, acquiring the current road condition information of the driving direction of the electric vehicle according to the road condition strategy, and further acquiring a corresponding control strategy to control the work of the fuel cell system, so that the actual efficiency of the fuel cell system is kept in the optimal efficiency period for a longer time, and the service life of core parts of the fuel cell system is prolonged.
Referring to fig. 2, in a specific embodiment, after the step S103, the method may further include a step S104.
Step S104: and controlling the vehicle-mounted fuel cell system to work according to the control strategy corresponding to the current road condition information.
Therefore, the control strategy corresponding to the current road condition information is adopted to control the fuel cell system to work, and the utilization rate of the energy of the fuel cell system can be improved to the maximum extent.
Referring to fig. 3, in a specific embodiment, the step S103 may include steps S201 to S203.
Step S201: and acquiring a plurality of sample road condition information and a control strategy corresponding to each sample road condition information.
Step S202: and training by using a deep learning model according to the plurality of sample road condition information and the control strategy corresponding to each sample road condition information to obtain a control strategy model.
Step S203: and inputting the current road condition information into the control strategy model to obtain a control strategy corresponding to the current road condition information.
Therefore, according to the multiple sample road condition information and the control strategy corresponding to each sample road condition information, the control strategy model is obtained by utilizing deep model training, so that the current road condition information can be input into the control strategy model, the control strategy corresponding to the current road condition is obtained, and meanwhile, the multiple road condition information can be identified and the control strategy can be accurately selected.
Referring to fig. 4, in a specific embodiment, the step S103 may include steps S301 to S302.
Step S301: and predicting to obtain the predicted running information of the electric vehicle according to the current road condition information.
Step S302: and obtaining a control strategy corresponding to the current road condition information according to the predicted driving information of the electric vehicle.
Therefore, the driving information of the electric vehicle is predicted according to the current road condition information, and then the control strategy corresponding to the current road condition information is obtained.
In practical applications, step S302 may include: obtaining a plurality of sample running information and a control strategy corresponding to each sample running information; training by using a first deep learning model according to the plurality of sample driving information and a control strategy corresponding to each sample driving information to obtain a first control strategy model; and inputting the predicted driving information into the first control strategy model to obtain a control strategy corresponding to the predicted driving information as a control strategy corresponding to the current road condition information.
Therefore, according to the plurality of sample driving information and the control strategy corresponding to each sample driving information, the first control strategy model is obtained by utilizing the first deep learning model for training, so that the predicted driving information can be input into the first control strategy model to obtain the control strategy corresponding to the predicted driving information, and meanwhile, various kinds of predicted information can be identified and the control strategy can be accurately selected.
Referring to fig. 5, in some alternative embodiments, the step S302 includes steps S401 to S402.
Step S401: and predicting to obtain the predicted electricity utilization information of the electric vehicle according to the predicted running information of the electric vehicle.
Step S402: and determining a control strategy corresponding to the current road condition information according to the predicted power utilization information of the electric vehicle.
Therefore, the predicted electricity utilization information of the electric vehicle is predicted according to the predicted running information of the electric vehicle, and the control strategy corresponding to the current road condition is determined according to the predicted electricity utilization information.
In practical applications, step S402 may include: obtaining a plurality of sample electricity utilization information and a control strategy corresponding to each sample electricity utilization information; training by using a second deep learning model according to the plurality of sample power consumption information and the control strategy corresponding to each sample power consumption information to obtain a second control strategy model; and inputting the predicted electricity utilization information into the second control strategy model to obtain a control strategy corresponding to the predicted electricity utilization information as a control strategy corresponding to the current road condition information.
Therefore, according to the plurality of sample power consumption information and the corresponding control strategies, the second control strategy model is obtained by utilizing the second deep learning model for training, so that the predicted power consumption information can be input into the second control strategy model to obtain the corresponding control strategies, and meanwhile, the plurality of power consumption information can be identified and the control strategies can be accurately selected.
Referring to fig. 6, the present application provides a control strategy acquisition apparatus of a vehicle-mounted fuel cell system, applied to an electric vehicle including the vehicle-mounted fuel cell system, the apparatus including: the road condition strategy module 101 is configured to, when it is detected that the electric vehicle meets a preset condition, obtain a road condition strategy corresponding to the preset condition; the information acquisition module 102 is configured to acquire current road condition information of the driving direction of the electric vehicle according to a road condition policy corresponding to the preset condition; and the control strategy module 103 is configured to obtain a control strategy corresponding to the current road condition information according to the current road condition information, where the control strategy corresponding to the current road condition information is used to control the vehicle-mounted fuel cell system to work so as to increase a duration ratio of actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval.
Referring to fig. 7, in a specific embodiment, the apparatus may further include: and the system control module 104 is configured to control the vehicle-mounted fuel cell system to operate according to a control strategy corresponding to the current road condition information.
In some optional embodiments, the preset condition is: the electric vehicle is positioned in a straight road section; the road condition strategy corresponding to the preset condition is as follows: acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the straight road section in real time by road condition detection equipment arranged on the electric vehicle; and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle.
In some optional embodiments, the preset condition is: the electric vehicle is about to turn; the road condition strategy corresponding to the preset condition is as follows: acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system; and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle.
In some optional embodiments, the preset condition is any one of: the road condition detection equipment arranged on the electric vehicle is damaged; the road condition detection equipment arranged on the electric vehicle is not started; the electric vehicle is not provided with road condition detection equipment; the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system; the road condition strategy corresponding to the preset condition is as follows: receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; or receiving current road condition detection data of the driving direction of the electric vehicle sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system.
In some optional embodiments, the current traffic information includes at least one of the following: the type of pavement; average vehicle speed; average slope; degree of road surface congestion; whether a traffic accident occurs at the current road section or not; whether an obstacle exists in the current road section; the control strategy corresponding to the current road condition information comprises at least one of the following: the output power of a single fuel cell; the output power of the fuel cell stack; and (4) a charge-discharge strategy of the hybrid power energy storage battery.
Referring to fig. 8, in a specific embodiment, the control strategy module 103 may include: a sample obtaining unit 201, configured to obtain multiple pieces of sample traffic information and a control policy corresponding to each piece of sample traffic information; the model training unit 202 is configured to train the multiple pieces of sample road condition information and the control strategy corresponding to each piece of sample road condition information by using a deep learning model to obtain a control strategy model; an information input unit 203, configured to input the current traffic information into the control policy model, so as to obtain a control policy corresponding to the current traffic information.
Referring to fig. 9, in a specific embodiment, the control strategy module 103 may include: the predicted driving unit 301 is configured to predict and obtain predicted driving information of the electric vehicle according to the current road condition information; a policy obtaining unit 302, configured to obtain a control policy corresponding to the current road condition information according to the predicted driving information of the electric vehicle.
Referring to fig. 10, in a specific embodiment, the policy obtaining unit 302 may include: an electronic unit 401 for prediction, configured to predict, according to the predicted traveling information of the electric vehicle, predicted power consumption information of the electric vehicle; a strategy determining subunit 402, configured to determine a control strategy corresponding to the current road condition information according to the predicted power consumption information of the electric vehicle.
Referring to fig. 11, an embodiment of the present application further provides an electronic device 200, where the electronic device 200 includes at least one memory 210 and at least one processor 220, and a bus 230 connecting different platform systems.
The memory 210 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)211 and/or cache memory 212, and may further include Read Only Memory (ROM) 213.
The memory 210 further stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes the steps of the method for acquiring the control strategy of the vehicle-mounted fuel cell system in the embodiment of the present application, and a specific implementation manner of the method is consistent with the implementation manner and the achieved technical effect described in the embodiment of the method for acquiring the control strategy of the vehicle-mounted fuel cell system, and some details are not repeated.
Accordingly, processor 220 may execute the computer programs described above, as well as may execute programs/utilities 214.
The electronic device 200 may also communicate with one or more external devices 240, such as a keyboard, pointing device, Bluetooth device, etc., and may also communicate with one or more devices capable of interacting with the electronic device 200, and/or with any devices (e.g., routers, modems, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, to name a few.
Referring to fig. 12, an embodiment of the present application further provides an electric vehicle 20, and a specific implementation manner of the electric vehicle is consistent with the implementation manner and the achieved technical effect described in the embodiment of the method for acquiring a control strategy of a vehicle-mounted fuel cell system, and a part of the contents are not repeated.
The electric vehicle 20 includes a housing 30, a vehicle-mounted fuel cell system (not shown in the drawings), and any one of the electronic devices 200 described above. Thus, the electronic device 200 may include a memory and a processor, and applying the electronic device 200 to the electric vehicle 20 may improve the automation level and the intelligence level of the electric vehicle 20.
In some embodiments of the present application, the electric vehicle 20 includes a fuel cell 43, an energy storage cell 46, a control system, and may further include a road condition detection device, where the control system includes a vehicle control unit 41, a fuel cell controller 42, an efficiency controller 44, and may further include an energy storage cell controller 45 and an automatic transmission controller.
A Vehicle Control Unit 41 (VCU) is a central Control Unit of the electric Vehicle 20. The on-board fuel cell system may include a fuel cell controller 42 and a fuel cell 43, and may further include a fuel subsystem, a thermal management subsystem, and an electric power conversion subsystem. The fuel cell 43 is a main power source of the electric vehicle 20, and provides energy for normal running of the vehicle, and the fuel cell 43 can also charge the energy storage battery 46. The Fuel Cell Unit 42 (FCU) may be configured to control the operation of the Fuel Cell 43, and specifically, the vehicle controller 41 may be connected to the Fuel Cell controller 42 and send a signal of energy requirement to the Fuel Cell controller 42, and after receiving the signal, the Fuel Cell controller 42 adjusts the operating condition of the Fuel Cell 43, so as to control the operating condition and output power of the Fuel Cell engine.
The energy storage battery 46 is an auxiliary power source of the electric vehicle 20, the surplus electric energy of the fuel cell 43 can be absorbed and stored by the energy storage battery 46, and the energy storage battery 46 can include at least one of the following: lead-acid batteries, nickel-hydrogen batteries and lithium ion batteries. The energy storage battery controller 45 is used to control the operation of the energy storage battery 46.
The efficiency controller 44 is, for example, an AI host, and the efficiency controller 44 may be configured to formulate a control strategy of the fuel cell 43 and/or the energy storage cell 46, specifically, the efficiency controller 44 may formulate the control strategy of the fuel cell 43 and/or the energy storage cell 46 according to the predicted traveling information of the electric vehicle 20, and the predicted traveling information of the electric vehicle 20 may be predicted according to the current road condition information, and may be specifically obtained by the method shown in step S301. The current traffic information may be obtained according to the method shown in step S102. The control strategy for the fuel cell 43 and/or the energy storage cell 46 according to the predicted traveling information of the electric vehicle 20 can be specifically obtained by the method shown in step S103.
In a specific embodiment, the road condition detecting device obtains current road condition detection data of the electric vehicle 20, the road condition detecting device can accurately obtain the current road condition detection data in real time, the efficiency controller 44 is connected to the road condition detecting device to obtain the current road condition detection data, the efficiency controller 44 can predict predicted driving information of the electric vehicle 20 according to the current road condition detection data, specifically, the predicted driving information can be obtained by the method shown in step S301, and then a control strategy of the fuel cell 43 and/or the energy storage cell 46 is formulated according to the predicted driving information of the electric vehicle 20.
In a specific embodiment, referring to fig. 13, the road condition detecting device includes at least one of the following components: a front-view camera 31, a left rear-view camera 32, a right rear-view camera 33, a positioning device 34, a millimeter-wave radar 35, a left lidar 36, and a right lidar 37. Wherein, the front-view camera 31 is arranged at the front side of the electric vehicle 20, and/or the left rear-view camera 32 and the right rear-view camera 33 are respectively arranged at the left side and the right side of the electric vehicle 20, and/or the positioning device 34 is arranged on the electric vehicle 20, and/or the millimeter wave radar 35 is arranged at the front side of the electric vehicle 20, and/or the left laser radar 36 and the right laser radar 37 are respectively arranged at the left side and the right side of the electric vehicle 20.
In an alternative embodiment, the efficiency controller 44 is connected to a cloud server to obtain current road condition detection data and/or current road condition information, the cloud server is, for example, a background server of the vehicle-road coordination system, the efficiency controller 44 may obtain the current road condition information of the driving direction of the electric vehicle 20 through the current road condition detection data, and/or directly obtain the current road condition information through the cloud server, predict driving information of the electric vehicle 20 according to the current road condition information, and then make a control strategy of the fuel cell 43 and/or the energy storage cell 46 according to the predicted driving information.
When the control strategy is a control strategy of the fuel cell 43, referring to fig. 14, the vehicle control unit 41 is connected to the efficiency controller 44 to obtain the control strategy of the fuel cell 43, the vehicle control unit 41 may be connected to the efficiency controller 44 through a CAN bus, the vehicle control unit 41 is connected to the fuel cell controller 42 to send a signal to the fuel cell controller 42, and the fuel cell controller 42 controls the operation of the fuel cell 43 according to the signal; alternatively, referring to fig. 15, the efficiency controller 44 is connected to the fuel cell controller 42 to send a signal to the fuel cell controller 42, and the fuel cell controller 42 controls the operation of the fuel cell 43 according to the signal.
When the control strategy is the control strategy of the energy storage battery 46, referring to fig. 16, the control system further includes an energy storage battery controller 45, the vehicle controller 41 is connected to the efficiency controller 44 to obtain the control strategy of the energy storage battery 46, the vehicle controller 41 is connected to the energy storage battery controller 45 to send a signal to the energy storage battery controller 45, and the energy storage battery controller 45 controls the operation of the energy storage battery 46 according to the signal; alternatively, referring to fig. 17, the efficiency controller 44 is connected to the energy storage battery controller 45 to send a signal to the energy storage battery controller 45, and the energy storage battery controller 45 controls the operation of the energy storage battery 46 according to the signal.
When the control strategy is the control strategy of the fuel cell 43 and the energy storage cell 46, referring to fig. 18, the control system further includes an energy storage cell controller 45, the vehicle controller 41 is connected to the efficiency controller 44 to obtain the control strategy of the fuel cell 43 and the energy storage cell 46, the vehicle controller 41 is respectively connected to the fuel cell controller 42 and the energy storage cell controller 45 to respectively send signals to the fuel cell controller 42 and the energy storage cell controller 45, the fuel cell controller 42 controls the operation of the fuel cell 43 according to the signals, and the energy storage cell controller 45 controls the operation of the energy storage cell 46 according to the signals; alternatively, referring to fig. 19, the efficiency controller 44 is connected to the fuel cell controller 42 and the energy storage cell controller 45 respectively to send signals to the fuel cell controller 42 and the energy storage cell controller 45 respectively, the fuel cell controller 42 controls the operation of the fuel cell 43 according to the signals, and the energy storage cell controller 45 controls the operation of the energy storage cell 46 according to the signals.
Therefore, the efficiency controller 44 can make a control strategy of the fuel cell 43 and/or the energy storage cell 46, and control the operation of the fuel cell 43 through the fuel cell controller 42 and/or control the operation of the energy storage cell 46 through the energy storage cell controller 45, so as to compensate the hysteresis of the dynamic response of the vehicle-mounted fuel cell system, so that the actual efficiency of the vehicle-mounted fuel cell system can be kept within the preset efficiency interval for a longer time, and the parts of the vehicle-mounted fuel cell system are more durable.
In a specific embodiment, the electric vehicle 20 further includes an automatic transmission controller (not shown) connected to the efficiency controller 44, and the efficiency controller 44 sends a signal to the automatic transmission controller according to the predicted driving information of the electric vehicle 20, and the automatic transmission controller controls the operation of the automatic transmission.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium is used for storing a computer program, and when the computer program is executed, the steps of the method for acquiring a control strategy of a vehicle-mounted fuel cell system in the embodiment of the present application are implemented, and a specific implementation manner of the method is consistent with the implementation manner and the achieved technical effect described in the embodiment of the method for acquiring a control strategy of a vehicle-mounted fuel cell system, and a part of the contents are not repeated.
Referring to fig. 20, the present embodiment provides a program product 300 for implementing the control strategy acquisition method of the vehicle-mounted fuel cell system, which may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product 300 of the present invention is not so limited, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Program product 300 may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The foregoing description and drawings are only for purposes of illustrating the preferred embodiments of the present application and are not intended to limit the present application, which is, therefore, to the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present application.
Claims (22)
1. A control strategy acquisition method of a vehicle-mounted fuel cell system is applied to an electric vehicle including the vehicle-mounted fuel cell system, and the method comprises the following steps:
when the electric vehicle is detected to meet a preset condition, acquiring a road condition strategy corresponding to the preset condition;
acquiring current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition;
and acquiring a control strategy corresponding to the current road condition information according to the current road condition information, wherein the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval.
2. The control strategy acquisition method of the on-vehicle fuel cell system according to claim 1, characterized by further comprising:
and controlling the vehicle-mounted fuel cell system to work according to the control strategy corresponding to the current road condition information.
3. The control strategy acquisition method of the on-vehicle fuel cell system according to claim 1, characterized in that the preset condition is:
the electric vehicle is positioned in a straight road section;
the road condition strategy corresponding to the preset condition is as follows:
acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the straight road section in real time by road condition detection equipment arranged on the electric vehicle;
and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle.
4. The control strategy acquisition method of the on-vehicle fuel cell system according to claim 1, characterized in that the preset condition is:
the electric vehicle is about to turn;
the road condition strategy corresponding to the preset condition is as follows:
acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system;
and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle.
5. The control strategy acquisition method of the vehicle-mounted fuel cell system according to claim 1, characterized in that the preset condition is any one of:
the road condition detection equipment arranged on the electric vehicle is damaged;
the road condition detection equipment arranged on the electric vehicle is not started;
the electric vehicle is not provided with road condition detection equipment;
the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system;
the road condition strategy corresponding to the preset condition is as follows:
receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; alternatively, the first and second electrodes may be,
and receiving current road condition detection data of the driving direction of the electric vehicle, which are sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data are obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system.
6. The method for acquiring the control strategy of the vehicle-mounted fuel cell system according to claim 1, wherein the current traffic information includes at least one of:
the type of pavement;
average vehicle speed;
average slope;
degree of road surface congestion;
whether a traffic accident occurs at the current road section or not;
whether an obstacle exists in the current road section;
the control strategy corresponding to the current road condition information comprises at least one of the following:
the output power of a single fuel cell;
the output power of the fuel cell stack;
and (4) a charge-discharge strategy of the hybrid power energy storage battery.
7. The method for acquiring the control strategy of the vehicle-mounted fuel cell system according to claim 1, wherein acquiring the control strategy corresponding to the current traffic information according to the current traffic information comprises:
obtaining a plurality of sample road condition information and a control strategy corresponding to each sample road condition information;
training by using a deep learning model according to the multiple pieces of sample road condition information and the control strategy corresponding to each piece of sample road condition information to obtain a control strategy model;
and inputting the current road condition information into the control strategy model to obtain a control strategy corresponding to the current road condition information.
8. The method for acquiring the control strategy of the vehicle-mounted fuel cell system according to claim 1, wherein acquiring the control strategy corresponding to the current traffic information according to the current traffic information comprises:
predicting to obtain the predicted running information of the electric vehicle according to the current road condition information;
and obtaining a control strategy corresponding to the current road condition information according to the predicted driving information of the electric vehicle.
9. The method for acquiring the control strategy of the vehicle-mounted fuel cell system according to claim 8, wherein obtaining the control strategy corresponding to the current road condition information according to the predicted driving information of the electric vehicle comprises:
predicting to obtain the predicted electricity utilization information of the electric vehicle according to the predicted running information of the electric vehicle;
and determining a control strategy corresponding to the current road condition information according to the predicted power utilization information of the electric vehicle.
10. A control strategy acquisition apparatus of a vehicle-mounted fuel cell system, applied to an electric vehicle including the vehicle-mounted fuel cell system, the apparatus comprising:
the road condition strategy module is used for acquiring a road condition strategy corresponding to a preset condition when the electric vehicle is detected to meet the preset condition;
the information acquisition module is used for acquiring the current road condition information of the driving direction of the electric vehicle according to the road condition strategy corresponding to the preset condition;
and the control strategy module is used for acquiring a control strategy corresponding to the current road condition information according to the current road condition information, and the control strategy corresponding to the current road condition information is used for controlling the vehicle-mounted fuel cell system to work so as to increase the time length ratio of the actual efficiency of the vehicle-mounted fuel cell system in a preset efficiency interval.
11. The control strategy acquisition apparatus of the vehicle-mounted fuel cell system according to claim 10, characterized by further comprising:
and the system control module is used for controlling the vehicle-mounted fuel cell system to work according to the control strategy corresponding to the current road condition information.
12. The control strategy acquisition apparatus of the on-vehicle fuel cell system according to claim 10, characterized in that the preset condition is:
the electric vehicle is positioned in a straight road section;
the road condition strategy corresponding to the preset condition is as follows:
acquiring current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data is obtained by detecting the current road condition of the straight road section in real time by road condition detection equipment arranged on the electric vehicle;
and obtaining the current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle.
13. The control strategy acquisition apparatus of the on-vehicle fuel cell system according to claim 10, characterized in that the preset condition is:
the electric vehicle is about to turn;
the road condition strategy corresponding to the preset condition is as follows:
acquiring first current road condition detection data and second current road condition detection data of the driving direction of the electric vehicle, wherein the first current road condition detection data is obtained by detecting the current road condition of a driving section before turning in real time by road condition detection equipment arranged on the electric vehicle, and the second current road condition detection data is obtained by detecting the current road condition of the driving section after turning in real time by a vehicle-road cooperation system;
and obtaining the current road condition information of the driving direction of the electric vehicle according to the first current road condition detection data and the second current road condition detection data of the driving direction of the electric vehicle.
14. The control strategy acquisition apparatus of a vehicle-mounted fuel cell system according to claim 10, characterized in that the preset condition is any one of:
the road condition detection equipment arranged on the electric vehicle is damaged;
the road condition detection equipment arranged on the electric vehicle is not started;
the electric vehicle is not provided with road condition detection equipment;
the electric vehicle is in a preset mode, and the preset mode is used for indicating the electric vehicle to acquire the current road condition information from a vehicle-road cooperative system;
the road condition strategy corresponding to the preset condition is as follows:
receiving current road condition information of the driving direction of the electric vehicle, which is sent by the vehicle-road coordination system; alternatively, the first and second electrodes may be,
and receiving current road condition detection data of the driving direction of the electric vehicle, which are sent by the vehicle-road coordination system, and obtaining current road condition information of the driving direction of the electric vehicle according to the current road condition detection data of the driving direction of the electric vehicle, wherein the current road condition detection data are obtained by detecting the current road condition of the driving direction of the electric vehicle in real time by road condition detection equipment in the vehicle-road coordination system.
15. The control strategy acquisition device of the on-vehicle fuel cell system according to claim 10, wherein the current road condition information includes at least one of:
the type of pavement;
average vehicle speed;
average slope;
degree of road surface congestion;
whether a traffic accident occurs at the current road section or not;
whether an obstacle exists in the current road section;
the control strategy corresponding to the current road condition information comprises at least one of the following:
the output power of a single fuel cell;
the output power of the fuel cell stack;
and (4) a charge-discharge strategy of the hybrid power energy storage battery.
16. The control strategy acquisition device of the on-vehicle fuel cell system according to claim 10, wherein the control strategy module includes:
the system comprises a sample acquisition unit, a traffic information acquisition unit and a traffic information processing unit, wherein the sample acquisition unit is used for acquiring a plurality of sample traffic information and a control strategy corresponding to each sample traffic information;
the model training unit is used for training by using a deep learning model according to the multiple pieces of sample road condition information and the control strategy corresponding to each piece of sample road condition information to obtain a control strategy model;
and the information input unit is used for inputting the current road condition information into the control strategy model to obtain a control strategy corresponding to the current road condition information.
17. The control strategy acquisition device of the on-vehicle fuel cell system according to claim 10, wherein the control strategy module includes:
the predicted driving unit is used for predicting to obtain the predicted driving information of the electric vehicle according to the current road condition information;
and the strategy acquisition unit is used for acquiring a control strategy corresponding to the current road condition information according to the predicted running information of the electric vehicle.
18. The control strategy acquisition device of the vehicle-mounted fuel cell system according to claim 17, characterized in that the strategy acquisition unit includes:
the electronic unit for forecasting is used for forecasting to obtain the electric power utilization forecasting information of the electric vehicle according to the running forecasting information of the electric vehicle;
and the strategy determining subunit is used for determining a control strategy corresponding to the current road condition information according to the predicted power utilization information of the electric vehicle.
19. An electronic device, characterized in that the electronic device comprises a memory storing a computer program and a processor implementing the steps of the method according to any of claims 1-9 when the processor executes the computer program.
20. An electric vehicle comprising a housing, an on-board fuel cell system, and the electronic device of claim 19.
21. The electric vehicle of claim 20, further comprising a road condition detection device disposed on the housing, the road condition detection device comprising at least one of: the device comprises a front-view camera, a left rear-view camera, a right rear-view camera, a positioning device, a millimeter wave radar, a left laser radar and a right laser radar.
22. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 9.
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| CN108539228A (en) * | 2018-05-29 | 2018-09-14 | 吉林大学 | A kind of fuel cell system and its control method |
| CN109859472A (en) * | 2019-03-05 | 2019-06-07 | 长安大学 | Vehicle driving roadblock sensory perceptual system, method, vehicle and bus or train route collaboration active safety system and method |
| CN111899562A (en) * | 2019-05-05 | 2020-11-06 | 湖南大学深圳研究院 | Vehicle meeting prompting method for curve blind area |
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| CN108539228A (en) * | 2018-05-29 | 2018-09-14 | 吉林大学 | A kind of fuel cell system and its control method |
| CN109859472A (en) * | 2019-03-05 | 2019-06-07 | 长安大学 | Vehicle driving roadblock sensory perceptual system, method, vehicle and bus or train route collaboration active safety system and method |
| CN111899562A (en) * | 2019-05-05 | 2020-11-06 | 湖南大学深圳研究院 | Vehicle meeting prompting method for curve blind area |
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