WO2022111563A1 - 续驶里程预测方法、装置、设备及存储介质 - Google Patents

续驶里程预测方法、装置、设备及存储介质 Download PDF

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Publication number
WO2022111563A1
WO2022111563A1 PCT/CN2021/133013 CN2021133013W WO2022111563A1 WO 2022111563 A1 WO2022111563 A1 WO 2022111563A1 CN 2021133013 W CN2021133013 W CN 2021133013W WO 2022111563 A1 WO2022111563 A1 WO 2022111563A1
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Prior art keywords
vehicle
preset
average
energy consumption
hydrogen
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PCT/CN2021/133013
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English (en)
French (fr)
Inventor
马秋玉
赵洪辉
韩令海
鲍金成
郭冬来
黄兴
丁天威
秦晓津
芦岩
曲禄成
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中国第一汽车股份有限公司
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Publication of WO2022111563A1 publication Critical patent/WO2022111563A1/zh

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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
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/75—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using propulsion power supplied by both fuel cells and batteries
    • 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
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • 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
    • B60L2240/66—Ambient conditions
    • 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
    • B60L2240/66—Ambient conditions
    • B60L2240/662—Temperature
    • 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
    • B60L2240/68—Traffic data
    • 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

Definitions

  • the embodiments of the present application relate to the technical field of vehicles, for example, to a driving range prediction method, apparatus, device, and storage medium.
  • Fuel cell vehicles mostly adopt the form of hybrid drive.
  • power batteries are added as another power source.
  • the high-pressure hydrogen storage cylinder provides fuel
  • the power battery pack provides extra power to accelerate, climb and run the vehicle at high speed. Therefore, the fuel cell stack and the power battery complement each other.
  • the cruising range of the fuel cell stack and the power battery is comprehensively considered.
  • the vehicle is inevitably affected by environmental information such as road conditions and weather during the driving process, so that the driving range of the vehicle changes greatly.
  • the related technology only estimates the cruising range at the current moment through the remaining hydrogen amount of the hydrogen cylinder and the hydrogen consumption rate at the current moment, without considering the influence of the vehicle driving environment or the driving range of the power battery, so it is impossible to accurately predict the fuel cell. of driving mileage.
  • the embodiments of the present application disclose a driving range prediction method, device, device and storage medium.
  • an embodiment of the present application discloses a driving range prediction method, including:
  • the driving range of the vehicle is predicted based on the total energy and the average energy consumption.
  • an embodiment of the present application further discloses a driving range prediction device, the device comprising:
  • the acquisition module is set to acquire the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information;
  • a first determining module configured to determine the average energy consumption of the vehicle traveling according to the environmental information
  • a second determining module configured to determine the total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery
  • the prediction module is configured to predict the driving range of the vehicle according to the total energy and the average energy consumption.
  • an embodiment of the present application further discloses a computer device, including a memory, a processor, and a computer program stored in the memory and running on the processor.
  • the processor executes the program, the implementation of the present application is implemented The driving range prediction method described in any of the examples.
  • an embodiment of the present application further discloses a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the driving range prediction method described in any of the embodiments of the present application.
  • Embodiment 1 is a flowchart of a method for predicting driving range in Embodiment 1 of the present application
  • Fig. 2 is a flow chart of a driving range prediction method in Embodiment 2 of the present application.
  • FIG. 2A is a flowchart of another driving range prediction method in Embodiment 2 of the present application.
  • FIG. 3 is a schematic structural diagram of a driving range prediction device in Embodiment 3 of the present application.
  • FIG. 4 is a schematic structural diagram of a computer device in Embodiment 4 of the present application.
  • FIG. 1 is a flowchart of a driving range prediction method provided in Embodiment 1 of the present application.
  • This embodiment can predict the driving range of a vehicle, and the method can be executed by the driving range prediction device in the embodiment of the present application.
  • the device can It is implemented by means of software and/or hardware, as shown in Figure 1, the method includes the following steps:
  • the available hydrogen amount of the vehicle refers to the part of the hydrogen storage bottle of the vehicle that can actually be transported to the fuel cell for generating electric energy.
  • the remaining power of the power battery is the state of charge (SOC, State of Charge) of the power battery, which refers to the available state of the remaining charge in the power battery.
  • SOC State of Charge
  • Environmental information refers to any information that affects the driving range of the vehicle's hydrogen fuel cell and power battery, such as the current road conditions and weather of the vehicle.
  • the current available hydrogen amount of the vehicle and the remaining power of the power battery, and the environmental information of the vehicle driving process are obtained in real time, so as to comprehensively consider the driving ability of the fuel cell and the driving ability of the power battery, and the impact of environmental information on the driving ability of the vehicle. influences.
  • the method of obtaining the amount of available hydrogen may be to obtain the remaining amount of hydrogen in the hydrogen storage bottle, and obtain the amount of available hydrogen according to the remaining amount of hydrogen and the amount of unavailable hydrogen, or directly obtain the amount of available hydrogen.
  • the way to obtain the remaining power of the power battery can be obtained through a sensor.
  • the environmental information includes at least one of: ambient temperature, ambient humidity, atmospheric pressure, average vehicle speed corresponding to the road traffic state, and average acceleration corresponding to the road traffic state.
  • road traffic status may include: clear, congested, and slow.
  • the way to obtain the average vehicle speed corresponding to the road traffic state and the average acceleration corresponding to the road traffic state can be obtained by positioning the electronic map GPS (Global Positioning System, global positioning system), and the way to obtain the ambient temperature, ambient humidity, and atmospheric pressure can be through The temperature and humidity sensor and the pressure sensor are obtained, which is not limited in this embodiment of the present application.
  • S120 Determine the average energy consumption of the vehicle traveling according to the environmental information.
  • the average energy consumption refers to the average energy consumption per 100 kilometers when the car is driving on the road.
  • the average energy consumption of the vehicle is determined according to the environmental information of the vehicle, so as to consider the influence of the environmental information on the driving range of the vehicle.
  • S130 Determine the total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery.
  • the total energy of the vehicle is determined according to the amount of available hydrogen in the hydrogen storage tank of the vehicle and the remaining power of the power battery, so as to comprehensively consider the driving ability of the fuel cell and the driving ability of the power battery.
  • S140 Predict the driving range of the vehicle according to the total energy and the average energy consumption.
  • the total energy of the vehicle and the average energy consumption can be obtained by obtaining the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information, and the driving range of the vehicle can be predicted. It can accurately predict the driving mileage of the vehicle and relieve the driver's mileage anxiety by considering the influence of environmental factors such as weather conditions and road traffic conditions.
  • the average energy consumption of the vehicle is determined according to the environmental information, Including: obtaining a preset energy consumption; calculating the average energy consumption of the vehicle according to the environmental information and the preset energy consumption, and the calculation formula is as follows:
  • F(x 1 ,x 2 ,x 3 ,x 4 ,x 5 ) F 0 +a 1 (x 1 -b 1 )+a 2 (x 2 -b 2 )+a 3 (x 3 -b 3 ) +a 4 (x 4 -b 4 )+a 5 (x 5 -b 5 );
  • a 1 , a 2 , a 3 , a 4 and a 5 are preset constant coefficients
  • x 1 is the average vehicle speed corresponding to the current road traffic state
  • b 1 is the average vehicle speed corresponding to the preset traffic state of the road
  • x 2 is the average acceleration corresponding to the current road traffic state
  • b 2 is the average acceleration corresponding to the preset traffic state of the road
  • x 3 is the temperature of the environment where the vehicle is currently located
  • b 3 is the preset temperature
  • x 4 is the current environment where the vehicle is located.
  • Humidity b 4 is the preset humidity
  • x 5 is the atmospheric pressure of the environment where the vehicle is currently located
  • b 5 is the preset atmospheric pressure
  • F(x 1 , x 2 , x 3 , x 4 , x 5 ) is the vehicle
  • the average energy consumption of driving, F 0 is the preset energy consumption.
  • the method of this embodiment includes the following steps:
  • the preset energy consumption is the energy consumption of the vehicle in a common environment, and the preset energy consumption is related to factors such as the model of the vehicle, the driver's habit of driving the vehicle, and the common environment of the vehicle.
  • the preset energy consumption can be derived based on the developer's extensive statistics. This embodiment of the present application does not limit this.
  • the preset energy consumption can be determined according to the average speed of the vehicle when the road section ahead is clear and the average acceleration when the road section ahead is clear under the preset temperature, the preset humidity and the preset atmospheric pressure of a vehicle of a certain type.
  • the energy consumption is set, wherein the preset temperature, preset humidity and preset atmospheric pressure can be set according to the geographical location of the vehicle and the common environment, or can be set according to the weather changes in the common geographical location of the vehicle.
  • F(x 1 ,x 2 ,x 3 ,x 4 ,x 5 ) F 0 +a 1 (x 1 -b 1 )+a 2 (x 2 -b 2 )+a 3 (x 3 -b 3 ) +a 4 (x 4 -b 4 )+a 5 (x 5 -b 5 );
  • a 1 , a 2 , a 3 , a 4 and a 5 are preset constant coefficients
  • x 1 is the average vehicle speed corresponding to the current road traffic state
  • b 1 is the average vehicle speed corresponding to the preset traffic state of the road
  • x 2 is the average acceleration corresponding to the current road traffic state
  • b 2 is the average acceleration corresponding to the preset traffic state of the road
  • x 3 is the temperature of the environment where the vehicle is currently located
  • b 3 is the preset temperature
  • x 4 is the current environment where the vehicle is located.
  • Humidity b 4 is the preset humidity
  • x 5 is the atmospheric pressure of the environment where the vehicle is currently located
  • b 5 is the preset atmospheric pressure
  • F(x 1 , x 2 , x 3 , x 4 , x 5 ) is the vehicle
  • the average energy consumption of driving, F 0 is the preset energy consumption.
  • the average energy consumption of the vehicle is the preset energy consumption. That is, the average energy consumption of the vehicle is calculated according to the preset energy consumption and the difference between the current environment information of the vehicle and the preset environment information.
  • the environmental information may be at least one of ambient temperature, ambient humidity, atmospheric pressure, average vehicle speed corresponding to the road traffic state, and average acceleration corresponding to the road traffic state.
  • the average energy consumption of the vehicle is calculated according to the environmental information and the preset energy consumption.
  • the formula is as follows:
  • the formula for calculating the average energy consumption of the vehicle according to the environmental information and the preset energy consumption is as follows :
  • F(x 1 ,x 2 ,x 4 ,x 5 ) F 0 +a 1 (x 1 -b 1 )+a 2 (x 2 -b 2 )+a 4 (x 4 -b 4 )+a 5 (x 5 -b 5 );
  • the average energy consumption of the vehicle is calculated according to the environmental information and the preset energy consumption.
  • the environmental information may be the average vehicle speed corresponding to the road traffic state and the road traffic state. at least one of the average accelerations.
  • S240 Determine the total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery.
  • S250 Predict the driving range of the vehicle according to the total energy and the average energy consumption.
  • obtaining the available hydrogen amount of the vehicle includes:
  • MR is the amount of remaining hydrogen
  • V is the volume of the hydrogen storage bottle
  • ⁇ is the density of hydrogen inside the hydrogen storage bottle
  • the available hydrogen amount is obtained according to the remaining hydrogen amount, and the calculation formula is as follows:
  • MC is the amount of available hydrogen
  • MN is the preset amount of unavailable hydrogen
  • the remaining hydrogen amount of the vehicle is calculated according to the density of the hydrogen inside the hydrogen storage cylinder and the volume of the hydrogen storage cylinder. Finally, the available hydrogen amount is obtained according to the remaining hydrogen amount and the unavailable hydrogen amount. Wherein, the amount of unavailable hydrogen is a preset fixed value.
  • the total energy of the vehicle is determined according to the available hydrogen amount and the remaining power of the power battery, including:
  • the available hydrogen energy is calculated according to the available hydrogen amount, and the calculation formula is as follows:
  • E 1 MC ⁇ H ;
  • E 1 is the available hydrogen energy
  • H represents the low calorific value of hydrogen
  • H 1120000kj/kg
  • E 2 ME ⁇ E 0 ;
  • E 2 is the remaining energy of the power battery
  • M E is the remaining power of the power battery
  • E 0 is the energy when the power battery is fully charged
  • E is the total energy of the vehicle.
  • predicting the driving range of the vehicle according to the total energy and the average energy consumption includes:
  • the ratio of the total energy to the average energy consumption is determined as the driving range of the vehicle.
  • the driving range of the vehicle is calculated according to the total energy and the average energy consumption, and the calculation formula is as follows:
  • L is the driving range of the vehicle
  • E is the total energy of the vehicle
  • F is the average energy consumption of the vehicle.
  • F is a function of environmental information. If each variable in F(x 1 , x 2 , x 3 , x 4 , x 5 ) is determined, the average energy consumption of the vehicle is F.
  • the steps of the technical solution of this embodiment are: obtaining the average vehicle speed under the road section in front of the vehicle, the average acceleration under the road section in front of the vehicle, ambient temperature, ambient humidity, and atmospheric pressure, and calculating the average vehicle speed under the road section in front of the vehicle. energy consumption. Obtain the energy corresponding to the remaining hydrogen amount of the current vehicle and the energy corresponding to the remaining power of the current vehicle, thereby calculating the total remaining energy of the vehicle. Predict the driving range of the vehicle based on the total energy remaining in the vehicle.
  • the technical solution of this embodiment can predict the driving range of the vehicle by obtaining the total energy of the vehicle and the average energy consumption by obtaining the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information, which can integrate the endurance capacity and power of the fuel cell. It can accurately predict the driving range of the vehicle and relieve the driver's mileage anxiety by considering the influence of environmental factors such as weather conditions and road traffic conditions.
  • FIG. 3 is a schematic structural diagram of a driving range prediction device according to Embodiment 3 of the present application.
  • This embodiment can predict the cruising range of the vehicle, the device can be implemented in software and/or hardware, and the device can be integrated into any device that provides the function of cruising range prediction, as shown in FIG. 3 , the cruising range
  • the apparatus for prediction includes: an acquisition module 310 , a first determination module 320 , a second determination module 330 and a prediction module 340 .
  • the obtaining module 310 is configured to obtain the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information;
  • the first determining module 320 is configured to determine the average energy consumption of the vehicle traveling according to the environmental information
  • the second determination module 330 is configured to determine the total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery;
  • the prediction module 340 is configured to predict the driving range of the vehicle according to the total energy and the average energy consumption.
  • the environmental information includes at least one of: ambient temperature, ambient humidity, atmospheric pressure, average vehicle speed corresponding to road traffic conditions, and average acceleration corresponding to road traffic conditions.
  • the first determining module 320 includes:
  • a first obtaining unit configured to obtain a preset energy consumption
  • the first calculation unit is configured to calculate the average energy consumption of the vehicle according to the environmental information and the preset energy consumption, and the calculation formula is as follows:
  • F(x 1 ,x 2 ,x 3 ,x 4 ,x 5 ) F 0 +a 1 (x 1 -b 1 )+a 2 (x 2 -b 2 )+a 3 (x 3 -b 3 ) +a 4 (x 4 -b 4 )+a 5 (x 5 -b 5 );
  • a 1 , a 2 , a 3 , a 4 and a 5 are preset constant coefficients
  • x 1 is the average vehicle speed corresponding to the current road traffic state
  • b 1 is the average vehicle speed corresponding to the preset traffic state of the road
  • x 2 is the average acceleration corresponding to the current road traffic state
  • b 2 is the average acceleration corresponding to the preset traffic state of the road
  • x 3 is the temperature of the environment where the vehicle is currently located
  • b 3 is the preset temperature
  • x 4 is the current environment where the vehicle is located.
  • Humidity b 4 is the preset humidity
  • x 5 is the atmospheric pressure of the environment where the vehicle is currently located
  • b 5 is the preset atmospheric pressure
  • F(x 1 , x 2 , x 3 , x 4 , x 5 ) is the vehicle
  • the average energy consumption of driving, F 0 is the preset energy consumption.
  • the obtaining module 310 is further configured as:
  • MR is the amount of remaining hydrogen
  • V is the volume of the hydrogen storage bottle
  • ⁇ is the density of hydrogen inside the hydrogen storage bottle
  • the available hydrogen amount is obtained according to the remaining hydrogen amount, and the calculation formula is as follows:
  • MC is the amount of available hydrogen
  • MN is the preset amount of unavailable hydrogen
  • the second determining module 330 includes:
  • the first calculation unit is configured to calculate the available hydrogen energy according to the available hydrogen amount, and the calculation formula is as follows:
  • E 1 MC ⁇ H ;
  • E 1 is the available hydrogen energy
  • H represents the low calorific value of hydrogen
  • H 1120000kj/kg
  • the second calculation unit is configured to calculate the remaining power of the power battery according to the remaining power of the power battery, and the calculation formula is as follows:
  • E 2 ME ⁇ E 0 ;
  • E 2 is the remaining energy of the power battery
  • M E is the remaining power of the power battery
  • E 0 is the energy when the power battery is fully charged
  • the third calculation unit is configured to calculate the total energy of the vehicle according to the available hydrogen energy and the remaining energy of the power battery, and the calculation formula is as follows:
  • E is the total energy of the vehicle.
  • the prediction module 340 is further configured to:
  • the ratio of the total energy to the average energy consumption is determined as the driving range of the vehicle.
  • the above product can execute the method provided by any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method.
  • the cruising range of the vehicle is predicted by obtaining the total energy of the vehicle and the average energy consumption by obtaining the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information, which can comprehensively combine the cruising ability of the fuel cell and the cruising range of the power battery. It can accurately predict the driving mileage of the vehicle and relieve the driver's mileage anxiety by considering the influence of environmental factors such as weather conditions and road traffic conditions.
  • FIG. 4 is a schematic structural diagram of a computer device in Embodiment 4 of the present application.
  • FIG. 4 shows a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present application.
  • the computer device 12 shown in FIG. 4 is only an example, and should not impose any limitations on the functions and scope of use of the embodiments of the present application.
  • computer device 12 takes the form of a general-purpose computing device.
  • Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory (memory) 28, and a bus 18 connecting various system components including system memory 28 and processing unit 16.
  • Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of a variety of bus structures.
  • these architectures include, but are not limited to, Industry Standard Architecture (ISA, Industry Standard Architecture) bus, Micro Channel Architecture (MCA, Micro Channel Architecture) bus, enhanced ISA bus, Video Electronics Standards Association (VESA, Video Electronics Standards Association) local bus and Peripheral Component Interconnect (PCI, Peripheral Component Interconnect) bus.
  • ISA Industry Standard Architecture
  • MCA Micro Channel Architecture
  • VESA Video Electronics Standards Association
  • PCI Peripheral Component Interconnect
  • Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including both volatile and nonvolatile media, removable and non-removable media.
  • System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32 .
  • Computer device 12 may further include other removable/non-removable, volatile/non-volatile computer system storage media.
  • storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive”).
  • a disk drive may be provided for reading and writing to removable non-volatile magnetic disks (eg "floppy disks"), as well as removable non-volatile optical disks (eg CD-ROM, DVD-ROM) or other optical media) to read and write optical drives.
  • each drive may be connected to bus 18 through one or more data media interfaces.
  • Memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present application.
  • a program/utility 40 having a set (at least one) of program modules 42, which may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other programs Modules and program data, each or some combination of these examples may include an implementation of a network environment.
  • Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
  • Computer device 12 may also communicate with one or more external devices 14 (eg, keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable a user to interact with computer device 12, and/or communicate with Any device (eg, network card, modem, etc.) that enables the computer device 12 to communicate with one or more other computing devices. Such communication may take place through input/output (I/O) interface 22 .
  • the display 24 does not exist as an independent entity, but is embedded in the mirror surface. When the display surface of the display 24 is not displayed, the display surface of the display 24 and the mirror surface are visually integrated.
  • the computer device 12 may communicate with one or more networks (eg, a local area network (LAN, Local Area Network), a wide area network (WAN, Wide Area Network), and/or a public network, such as the Internet, through a network adapter 20.
  • network adapter 20 communicates with other modules of computer device 12 via bus 18 .
  • other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID (Redundant Arrays of Independent Disks, disk array) systems, tape drives, and data backup storage systems.
  • the processing unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, to realize the driving range prediction method provided by the embodiment of the present application:
  • the driving range of the vehicle is predicted based on the total energy and the average energy consumption.
  • the fifth embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the driving range prediction methods provided by all the application embodiments of the present application:
  • the driving range of the vehicle is predicted based on the total energy and the average energy consumption.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM, Read -Only Memory), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.
  • a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a propagated data signal in baseband or as part of a carrier wave, with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .
  • the program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, optical cable, RF (Radio Frequency, radio frequency), etc., or any suitable combination of the above.
  • the storage medium may be a non-transitory storage medium.
  • Computer program code for carrying out the operations of the present application may be written in one or more programming languages, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional A procedural programming language, such as the "C" language or similar programming language.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through Internet connection).
  • LAN local area network
  • WAN wide area network
  • the embodiment of the present application discloses a driving range prediction method, device, equipment and storage medium, so as to realize the integration of the endurance capability of a fuel cell and the endurance capability of a power battery, and consider the influence of environmental factors such as weather conditions and road traffic conditions, Accurately predict vehicle mileage.
  • the embodiment of the present application predicts the driving range of the vehicle by obtaining the total energy of the vehicle and the average energy consumption by obtaining the available hydrogen amount of the vehicle, the remaining power of the power battery and the environmental information, so as to solve the problem that the related technology only uses the remaining hydrogen amount of the hydrogen bottle and the current
  • the hydrogen consumption rate at the moment is used to estimate the cruising range at the current moment, without considering the influence of the vehicle driving environment and the driving range of the power battery, so it is impossible to accurately predict the driving range of the fuel cell and realize the comprehensive fuel cell range. It can accurately predict the driving range of the vehicle and relieve the driver's mileage anxiety by considering the influence of environmental factors such as weather conditions and road traffic conditions.

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Abstract

一种续驶里程预测方法、装置、设备及存储介质。该方法包括：获取车辆的可用氢气量、动力电池剩余电量和环境信息；根据环境信息确定车辆行驶的平均能量消耗量；根据可用氢气量和动力电池剩余电量确定车辆的总能量；根据总能量和平均能量消耗量预测车辆的续驶里程。该方法能够综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程，缓解驾驶员的里程焦虑问题。

Description

续驶里程预测方法、装置、设备及存储介质
本申请要求在2020年11月25日提交中国专利局、申请号为202011337973.6的中国专利申请的优先权，以上申请的全部内容通过引用结合在本申请中。
技术领域
本申请实施例涉及车辆技术领域，例如涉及一种续驶里程预测方法、装置、设备及存储介质。
背景技术
随着环境问题和能源问题的日益突出，新能源汽车成为了世界各大汽车厂商及研发机构的研究热点，而在其中，燃料电池汽车以其高效率和近零排放被普遍认为具有广阔的发展前景。然而，受驾驶工况、天气状况、地理位置等因素的影响，燃料电池续驶里程变化大，精准预测并告知驾驶员续驶里程将极大程度的缓解里程焦虑问题。
燃料电池汽车多采用混合驱动形式，在燃料电池的基础上，增加动力电池作为另一个动力源。高压储氢瓶提供燃料，动力电池组提供而外的功率，使车辆加速、爬坡和高速运行。因此，燃料电池堆与动力电池是相辅相成的，在预测车辆的续驶里程时，因综合考虑燃料电池堆与动力电池的续航里程。另外，车辆在行驶过程中不可避免的受到路况、天气等环境信息的影响，使车辆续驶里程变化较大。而相关技术仅仅通过氢瓶剩余氢气量以及当前时刻的氢气消耗速率来估算当前时刻的可续航里程，没有考虑车辆驾驶环境的影响，也没有考虑动力电池的续驶里程，从而无法精确预测燃料电池的续驶里程。
发明内容
本申请实施例公开一种续驶里程预测方法、装置、设备及存储介质。
第一方面，本申请实施例公开一种续驶里程预测方法，包括：
获取车辆的可用氢气量、动力电池剩余电量和环境信息；
根据所述环境信息确定车辆行驶的平均能量消耗量；
根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
第二方面，本申请实施例还公开一种续驶里程预测装置，该装置包括：
获取模块，设置为获取车辆的可用氢气量、动力电池剩余电量和环境信息；
第一确定模块，设置为根据所述环境信息确定车辆行驶的平均能量消耗量；
第二确定模块，设置为根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
预测模块，设置为根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
第三方面，本申请实施例还公开一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现如本申请实施例中任一所述的续驶里程预测方法。
第四方面，本申请实施例还公开一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本申请实施例中任一所述的续驶里程预测方法。
附图说明
为了说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。
图1是本申请实施例一中的一种续驶里程预测方法的流程图；
图2是本申请实施例二中的一种续驶里程预测方法的流程图；
图2A是本申请实施例二中的另一种续驶里程预测方法的流程图；
图3是本申请实施例三中的一种续驶里程预测装置的结构示意图；
图4是本申请实施例四中的一种计算机设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请进行说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步定义和解释。同时，在本申请的描述中，术语“第一”、“第二”等仅用于区分描述，而不能理解为指示或暗示相对重要性。
实施例一
图1为本申请实施例一提供的一种续驶里程预测方法的流程图，本实施例可预测车辆续航里程，该方法可以由本申请实施例中的续驶里程预测装置来执行，该装置可采用软件和/或硬件的方式实现，如图1所示，该方法包括如下步骤：
S110，获取车辆的可用氢气量、动力电池剩余电量和环境信息。
其中，车辆的可用氢气量是指车辆储氢瓶中实际可输送至燃料电池中用于产生电能的部分。动力电池剩余电量即动力电池荷电状态(SOC，State of Charge)，是指动力电池内剩余电荷的可用状态。环境信息是指车辆当前行驶的路况、天气等任何会影响车辆氢燃料电池和动力电池的续驶里程的信息。
例如，实时获取车辆当前的可用氢气量和动力电池剩余电量，以及车辆行驶过程的环境信息，以综合考虑燃料电池的续驶能力和动力电池的续驶能力，以及环境信息对车辆续驶能力的影响。获取可用氢气量的方式可以为获取储氢瓶中的剩余氢气量，根据剩余氢气量和不可用氢气量得到可用氢气量，也可以为通过直接获取可用氢气量。获取动力电池剩余电量的方式可以为通过传感器获取。示例性，所述环境信息包括：环境温度、环境湿度、大气压力、道路通行状态对应的平均车速和道路通行状态对应的平均加速度中的至少一种。
例如，道路通行状态可以包括：畅通、拥堵和缓慢。获取道路通行状态对应的平均车速和道路通行状态对应的平均加速度的方式可以为通过电子地图GPS(Global Positioning System，全球定位系统)定位获取，获取环境温度、环境湿度、大气压力的方式可以为通过温湿度传感器和压力传感器获取，本申请实施例对此不设限制。
S120，根据所述环境信息确定车辆行驶的平均能量消耗量。
其中，平均能量消耗量是指汽车在道路上行驶时每百公里的平均能量消耗量。
例如，根据车辆的环境信息确定车辆的平均能量消耗量，以考虑环境信息对车辆续驶里程的影响。
S130，根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量。
例如，根据车辆储氢瓶中的可用氢气量和动力电池剩余电量确定所述车辆的总能量，以综合考虑燃料电池的续驶能力和动力电池的续驶能力。
S140，根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
本实施例，通过获取车辆的可用氢气量、动力电池剩余电量和环境信息得到车辆的总能量和所述平均能量消耗量，预测车辆的续驶里程，能够综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程，缓解驾驶员的里程焦虑问题。
实施例二
图2为本申请实施例二中的一种续驶里程预测方法的流程图，本实施例以上述实施例为基础，在本实施例中，根据所述环境信息确定车辆的平均能量消耗量，包括：获取预设能量消耗量；根据所述环境信息和所述预设能量消耗量计算车辆行驶的平均能量消耗量，计算公式如下：
F(x 1,x 2,x 3,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 3(x 3-b 3)+a 4(x 4-b 4)+a 5(x 5-b 5)；
其中，a 1、a 2、a 3、a 4和a 5均为预设常数系数，x 1为当前道路通行状态对应的平均车速，b 1为道路预设通行状态对应的平均车速，x 2为当前道路通行状态对应的平均加速度，b 2为道路预设通行状态对应的平均加速度，x 3为车辆当前所处环境的温度，b 3为预设温度，x 4为车辆当前所处环境的湿度，b 4为预设湿度，x 5为车辆当前所处环境的大气压力，b 5为预设大气压力，F(x 1,x 2,x 3,x 4,x 5)为所述车辆行驶的平均能量消耗量，F 0为预设能量消耗量。
如图2所示，本实施例的方法包括如下步骤：
S210，获取车辆的可用氢气量、动力电池剩余电量和环境信息。
S220，获取预设能量消耗量。
例如，预设能量消耗量为车辆在常见环境下的能量消耗量，所述预设能量消耗量与车辆的型号、驾驶员驾驶车辆的习惯、汽车常用环境等因素有关。预设能量消耗量可以基于开发人员的大量统计信息得到。本申请实施例对此不设限制。
示例性的，预设能量消耗量可以根据某车型的车辆在预设温度、预设湿度和预设大气压力下，前方路段为畅通时的车辆平均速度和前方路段为畅通时平均加速度，确定预设能量消耗量，其中，预设温度、预设湿度和预设大气压力可以根据车辆行驶的地理位置和常用环境设定，也可以根据车辆常用地理位置的天气变化而设定。
S230，根据所述环境信息和所述预设能量消耗量计算车辆行驶的平均能量消耗量，计算公式如下：
F(x 1,x 2,x 3,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 3(x 3-b 3)+a 4(x 4-b 4)+a 5(x 5-b 5)；
其中，a 1、a 2、a 3、a 4和a 5均为预设常数系数，x 1为当前道路通行状态对应的平均车速，b 1为道路预设通行状态对应的平均车速，x 2为当前道路通行状态对应的平均加速度，b 2为道路预设通行状态对应的平均加速度，x 3为车辆当前所处环境的温度，b 3为预设温度，x 4为车辆当前所处环境的湿度，b 4为预设湿度，x 5为车辆当前所处环境的大气压力，b 5为预设大气压力，F(x 1,x 2,x 3,x 4,x 5)为所述车辆行驶的平均能量消耗量，F 0为预设能量消耗量。
例如，当x 1＝b 1，x 2＝b 2，x 3＝b 3，x 4＝b 4且x 5＝b 5时，车辆的平均能量消耗量为预设能量消耗量。即，根据所述预设能量消耗量以及车辆当前环境信息与预设环境信息之间的差值，计算车辆的平均能量消耗量。其中，环境信息可以为环境温度、环境湿度、大气压力、道路通行状态对应的平均车速和道路通行状态对应的平均加速度中的至少一种。
示例性的，若环境信息为道路预设通行状态对应的平均加速度、环境湿度和道路通行状态对应的平均车速，则根据所述环境信息和所述预设能量消耗量计算车辆的平均能量消耗量的公式如下：
F(x 1,x 2,x 4)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 4(x 4-b 4)；
若环境信息为大气压力、环境湿度、道路通行状态对应的平均车速和道路通行状态对应的平均加速度，则根据所述环境信息和所述预设能量消耗量计算车辆的平均能量消耗量的公式如下：
F(x 1,x 2,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 4(x 4-b 4)+a 5(x 5-b 5)；
以此类推，根据所述环境信息和所述预设能量消耗量计算车辆的平均能量消耗量，环境信息可以为环境温度、环境湿度、大气压力、道路通行状态对应的平均车速和道路通行状态对应的平均加速度中的至少一种。
S240，根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量。
S250，根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
在一实施例中，获取车辆的可用氢气量，包括：
获取车辆储氢瓶的容积、压力和温度；
根据所述压力和温度获取储氢瓶内部氢气的密度；
根据所述储氢瓶内部氢气的密度计算车辆的剩余氢气量，计算公式如下：
M R＝V×ρ；
其中，M R为剩余氢气量，V为所述储氢瓶的容积，ρ为所述储氢瓶内部氢气的密度；
根据所述剩余氢气量得到可用氢气量，计算公式如下：
M C＝M R-M N；
其中，M C为可用氢气量，M N为预设的不可用氢气量。
例如，首先通过传感器获取当前储氢瓶的压力和温度，根据所述压力和温度计算氢气密度，计算公式如下：
Figure PCTCN2021133013-appb-000001
其中，ρ为氢气密度，单位为克(g)；m为氢分子摩尔质量,m＝2.016g/mol；R为公用气体常量，R＝0.0083145MPa·L/(mol·K)；Z为氢气压缩因子，储氢瓶内压力为70MPa，储氢瓶内气体温度为15℃时，压缩因子为1.462；T为储氢瓶内气体温度，单位为开尔文(K)。
然后，根据所述储氢瓶内部氢气的密度和储氢瓶的容积计算车辆的剩余氢气量。最后，根据所述剩余氢气量和不可用氢气量得到可用氢气量。其中，不可用氢气量为预设的固定值。
在一实施例中，根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量，包括：
根据所述可用氢气量计算可用氢气能量，计算公式如下：
E 1＝M C×H；
其中，E 1为可用氢气能量，H表示氢气低热值，H＝1120000kj/kg；
根据所述动力电池剩余电量计算动力电池剩余能量，计算公式如下：
E 2＝M E×E 0；
其中，E 2为动力电池剩余能量，M E为动力电池剩余电量，E 0为动力电池满电时的能量；
根据所述可用氢气能量和所述动力电池剩余能量计算所述车辆的总能量，计算公式如下：
E＝E 1+E 2；
其中，E为所述车辆的总能量。
在一实施例中，根据所述总能量和所述平均能量消耗量预测车辆的续驶里程，包括：
将所述总能量和所述平均能量消耗量的比值确定为车辆的续驶里程。
例如，根据所述总能量和所述平均能量消耗量计算车辆的续驶里程，计算公式如下：
Figure PCTCN2021133013-appb-000002
其中，L为车辆的续驶里程，E为所述车辆的总能量，F为车辆的平均能量消耗量。F为环境信息的函数。若F(x 1,x 2,x 3,x 4,x 5)中的各个变量确定时，车辆的平均能量消耗量为F。
如图2A所示，本实施例的技术方案的步骤为：获取车辆前方路段下的平均车速、车辆前方路段下的平均加速度、环境温度、环境湿度、大气压力，计算在前方路段下车辆的平均能量消耗量。获取当前车辆的剩余氢气量对应的能量和当前车辆的剩余电量对应的能量，从而计算车辆剩余的总能量。根据车辆剩余的总能量预测车辆续驶里程。本实施例的技术方案，通过获取车辆的可用氢气量、动力电池剩余电量和环境信息得到车辆的总能量和所述平均能量消耗量预测车辆的续驶里程，能够综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程，缓解驾驶员的里程焦虑问题。
实施例三
图3为本申请实施例三提供的一种续驶里程预测装置的结构示意图。本实施例可预测车辆续航里程，该装置可采用软件和/或硬件的方式实现，该装置可集成在任何提供续驶里程预测的功能的设备中，如图3所示，所述续驶里程预测的装置包括：获取模块310、第一确定模块320、第二确定模块330和预测模块340。
其中，获取模块310，设置为获取车辆的可用氢气量、动力电池剩余电量和环境信息；
第一确定模块320，设置为根据所述环境信息确定车辆行驶的平均能量消耗量；
第二确定模块330，设置为根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
预测模块340，设置为根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
在一实施例中，所述环境信息包括：环境温度、环境湿度、大气压力、道路通行状态对应的平均车速和道路通行状态对应的平均加速度中的至少一种。
在一实施例中，所述第一确定模块320，包括：
第一获取单元，设置为获取预设能量消耗量；
第一计算单元，设置为根据所述环境信息和所述预设能量消耗量计算车辆的平均能量消耗量，计算公式如下：
F(x 1,x 2,x 3,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 3(x 3-b 3)+a 4(x 4-b 4)+a 5(x 5-b 5)；
其中，a 1、a 2、a 3、a 4和a 5均为预设常数系数，x 1为当前道路通行状态对应的平均车速，b 1为道路预设通行状态对应的平均车速，x 2为当前道路通行状态对应的平均加速度，b 2为道路预设通行状态对应的平均加速度，x 3为车辆当前所处环境的温度，b 3为预设温度，x 4为车辆当前所处环境的湿度，b 4为预设湿度，x 5为车辆当前所处环境的大气压力，b 5为预设大气压力，F(x 1,x 2,x 3,x 4,x 5)为所述车辆行驶的平均能量消耗量，F 0为预设能量消耗量。
在一实施例中，所述获取模块310，还设置为：
获取车辆储氢瓶的容积、压力和温度；
根据所述压力和温度获取储氢瓶内部氢气的密度；
根据所述储氢瓶内部氢气的密度计算车辆的剩余氢气量，计算公式如下：
M R＝V×ρ；
其中，M R为剩余氢气量，V为所述储氢瓶的容积，ρ为所述储氢瓶内部氢气的密度；
根据所述剩余氢气量得到可用氢气量，计算公式如下：
M C＝M R-M N；
其中，M C为可用氢气量，M N为预设的不可用氢气量。
在一实施例中，所述第二确定模块330，包括：
第一计算单元，设置为根据所述可用氢气量计算可用氢气能量，计算公式如下：
E 1＝M C×H；
其中，E 1为可用氢气能量，H表示氢气低热值，H＝1120000kj/kg；
第二计算单元，设置为根据所述动力电池剩余电量计算动力电池剩余能量，计算公式如下：
E 2＝M E×E 0；
其中，E 2为动力电池剩余能量，M E为动力电池剩余电量，E 0为动力电池满电时的能量；
第三计算单元，设置为根据所述可用氢气能量和所述动力电池剩余能量计算所述车辆的总能量，计算公式如下：
E＝E 1+E 2；
其中，E为所述车辆的总能量。
在一实施例中，所述预测模块340，还设置为：
将所述总能量和所述平均能量消耗量的比值确定为车辆的续驶里程。
上述产品可执行本申请任意实施例所提供的方法，具备执行方法相应的功能模块和有益效果。
本实施例，通过获取车辆的可用氢气量、动力电池剩余电量和环境信息得到车辆的总能量和所述平均能量消耗量预测车辆的续驶里程，能够综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程，缓解驾驶员的里程焦虑问题。
实施例四
图4为本申请实施例四中的一种计算机设备的结构示意图。图4示出了适于用来实现本申请实施方式的示例性计算机设备12的框图。图4显示的计算机设备12仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图4所示，计算机设备12以通用计算设备的形式表现。计算机设备12的组件可以包括但不限于：一个或者多个处理器或者处理单元16，系统存储器(内存)28，连接不同系统组件(包括系统存储器28和处理单元16)的总线18。
总线18表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(ISA，Industry Standard Architecture)总线，微通道体系结构(MCA，Micro Channel Architecture)总线，增强型ISA总线、视频电子标准协会(VESA，Video Electronics Standards Association)局域总线以及外围组件互连(PCI，Peripheral Component Interconnect)总线。
计算机设备12典型地包括多种计算机系统可读介质。这些介质可以是任何能够被计算机设备12访问的可用介质，包括易失性和非易失性介质，可移动的和不可移动的介质。
系统存储器28可以包括易失性存储器形式的计算机系统可读介质，例如随机存取存储器(RAM，Random Access Memory)30和/或高速缓存存储器32。计算机设备12可以进一步包括其它可移动/不可移动的、易失性/非易失性计算 机系统存储介质。仅作为举例，存储系统34可以用于读写不可移动的、非易失性磁介质(图4未显示，通常称为“硬盘驱动器”)。尽管图4中未示出，可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如CD-ROM,DVD-ROM或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线18相连。存储器28可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本申请各实施例的功能。
具有一组(至少一个)程序模块42的程序/实用工具40，可以存储在例如存储器28中，这样的程序模块42包括——但不限于——操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块42通常执行本申请所描述的实施例中的功能和/或方法。
计算机设备12也可以与一个或多个外部设备14(例如键盘、指向设备、显示器24等)通信，还可与一个或者多个使得用户能与该计算机设备12交互的设备通信，和/或与使得该计算机设备12能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口22进行。另外，本实施例中的计算机设备12，显示器24不是作为独立个体存在，而是嵌入镜面中，在显示器24的显示面不予显示时，显示器24的显示面与镜面从视觉上融为一体。并且，计算机设备12还可以通过网络适配器20与一个或者多个网络(例如局域网(LAN，Local Area Network)，广域网(WAN，Wide Area Network)和/或公共网络，例如因特网)通信。如图4所示，网络适配器20通过总线18与计算机设备12的其它模块通信。应当明白，尽管图中未示出，可以结合计算机设备12使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID(Redundant Arrays of Independent Disks，磁盘阵列)系统、磁带驱动器以及数据备份存储系统等。
处理单元16通过运行存储在系统存储器28中的程序，从而执行各种功能应用以及数据处理，例如实现本申请实施例所提供的续驶里程预测方法：
获取车辆的可用氢气量、动力电池剩余电量和环境信息；
根据所述环境信息确定车辆行驶的平均能量消耗量；
根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
实施例五
本申请实施例五提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本申请所有申请实施例提供的续驶里程预测方法：
获取车辆的可用氢气量、动力电池剩余电量和环境信息；
根据所述环境信息确定车辆行驶的平均能量消耗量；
根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM，Read-Only Memory)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本文件中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于无线、电线、光缆、RF(Radio Frequency，射频)等等，或者上述的任意合适的组合。
存储介质可以是非暂态(non-transitory)存储介质。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言，诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言，诸如“C”语言或类似的程 序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
本申请实施例公开一种续驶里程预测方法、装置、设备及存储介质，以实现能够综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程。
本申请实施例通过获取车辆的可用氢气量、动力电池剩余电量和环境信息得到车辆的总能量和所述平均能量消耗量预测车辆的续驶里程，解决相关技术仅仅通过氢瓶剩余氢气量以及当前时刻的氢气消耗速率来估算当前时刻的可续航里程，没有考虑车辆驾驶环境的影响，也没有考虑动力电池的续驶里程，从而无法精确预测燃料电池的续驶里程问题，实现综合燃料电池的续航能力和动力电池的续航能力，并考虑天气情况、道路交通状况等环境因素的影响，精准预测车辆续驶里程，缓解驾驶员的里程焦虑。
本领域技术人员会理解，本申请不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本申请的保护范围。因此，虽然通过以上实施例对本申请进行了较为详细的说明，但是本申请不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本申请的范围由所附的权利要求范围决定。

Claims (10)

  1. 一种续驶里程预测方法，包括：
    获取车辆的可用氢气量、动力电池剩余电量和环境信息；
    根据所述环境信息确定车辆行驶的平均能量消耗量；
    根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
    根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
  2. 根据权利要求1所述的方法，其中，所述环境信息包括：环境温度、环境湿度、大气压力、道路通行状态对应的平均车速和道路通行状态对应的平均加速度中的至少一种。
  3. 根据权利要求1所述的方法，其中，根据所述环境信息确定车辆行驶的平均能量消耗量，包括：
    获取预设能量消耗量；
    根据所述环境信息和所述预设能量消耗量计算车辆行驶的平均能量消耗量，计算公式如下：
    F(x 1,x 2,x 3,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 3(x 3-b 3)+a 4(x 4-b 4)+a 5(x 5-b 5)；
    其中，a 1、a 2、a 3、a 4和a 5为预设常数系数，x 1为当前道路通行状态对应的平均车速，b 1为道路预设通行状态对应的平均车速，x 2为当前道路通行状态对应的平均加速度，b 2为道路预设通行状态对应的平均加速度，x 3为车辆当前所处环境的温度，b 3为预设温度，x 4为车辆当前所处环境的湿度，b 4为预设湿度，x 5为车辆当前所处环境的大气压力，b 5为预设大气压力，F(x 1,x 2,x 3,x 4,x 5)为所述车辆行驶的平均能量消耗量，F 0为预设能量消耗量。
  4. 根据权利要求1所述的方法，其中，获取车辆的可用氢气量，包括：
    获取车辆储氢瓶的容积、压力和温度；
    根据所述车辆储氢瓶的压力和温度获取储氢瓶内部氢气的密度；
    根据所述储氢瓶内部氢气的密度计算车辆的剩余氢气量，计算公式如下：
    M R＝V×ρ；
    其中，M R为剩余氢气量，V为所述储氢瓶的容积，ρ为所述储氢瓶内部氢气的密度；
    根据所述剩余氢气量得到可用氢气量，计算公式如下：
    M C＝M R-M N；
    其中，M C为可用氢气量，M N为预设的不可用氢气量。
  5. 根据权利要求1或4所述的方法，其中，根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量，包括：
    根据所述可用氢气量计算可用氢气能量，计算公式如下：
    E 1＝M C×H；
    其中，E 1为可用氢气能量，M C为可用氢气量，H表示氢气低热值，H＝1120000kj/kg；
    根据所述动力电池剩余电量计算动力电池剩余能量，计算公式如下：
    E 2＝M E×E 0；
    其中，E 2为动力电池剩余能量，M E为动力电池剩余电量，E 0为动力电池满电时的能量；
    根据所述可用氢气能量和所述动力电池剩余能量计算所述车辆的总能量，计算公式如下：
    E＝E 1+E 2；
    其中，E为所述车辆的总能量。
  6. 根据权利要求1所述的方法，其中，根据所述总能量和所述平均能量消耗量预测车辆的续驶里程，包括：
    将所述总能量和所述平均能量消耗量的比值确定为车辆的续驶里程。
  7. 一种续驶里程预测装置，包括：
    获取模块，设置为获取车辆的可用氢气量、动力电池剩余电量和环境信息；
    第一确定模块，设置为根据所述环境信息确定车辆行驶的平均能量消耗量；
    第二确定模块，设置为根据所述可用氢气量和所述动力电池剩余电量确定所述车辆的总能量；
    预测模块，设置为根据所述总能量和所述平均能量消耗量预测车辆的续驶里程。
  8. 根据权利要求7所述的装置，其中，所述第一确定模块，包括：
    第一获取单元，设置为获取预设能量消耗量；
    第一计算单元，设置为根据所述环境信息和所述预设能量消耗量计算车辆行驶的平均能量消耗量，计算公式如下：
    F(x 1,x 2,x 3,x 4,x 5)＝F 0+a 1(x 1-b 1)+a 2(x 2-b 2)+a 3(x 3-b 3)+a 4(x 4-b 4)+a 5(x 5-b 5)；
    其中，a 1、a 2、a 3、a 4和a 5为预设常数系数，x 1为当前道路通行状态对应的平均车速，b 1为道路预设通行状态对应的平均车速，x 2为当前道路通行状态对应的平均加速度，b 2为道路预设通行状态对应的平均加速度，x 3为车辆当前所处环境的温度，b 3为预设温度，x 4为车辆当前所处环境的湿度，b 4为预设湿度，x 5为车辆当前所处环境的大气压力，b 5为预设大气压力，F(x 1,x 2,x 3,x 4,x 5)为所述车辆行 驶的平均能量消耗量，F 0为预设能量消耗量。
  9. 一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现如权利要求1-6中任一所述的续驶里程预测方法。
  10. 一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1-6中任一所述的续驶里程预测方法。
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