CN112389213A - Driving range prediction method, device, equipment and storage medium - Google Patents

Driving range prediction method, device, equipment and storage medium Download PDF

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Publication number
CN112389213A
CN112389213A CN202011337973.6A CN202011337973A CN112389213A CN 112389213 A CN112389213 A CN 112389213A CN 202011337973 A CN202011337973 A CN 202011337973A CN 112389213 A CN112389213 A CN 112389213A
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vehicle
hydrogen
energy consumption
average
preset
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CN112389213B (en
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马秋玉
赵洪辉
赵子亮
鲍金成
郭冬来
黄兴
丁天威
秦晓津
芦岩
曲禄成
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FAW Group Corp
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FAW Group Corp
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Priority to PCT/CN2021/133013 priority patent/WO2022111563A1/en
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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

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Fuel Cell (AREA)

Abstract

The invention discloses a driving range prediction method, a driving range prediction device, driving range prediction equipment and a driving range prediction storage medium. The method comprises the following steps: acquiring available hydrogen quantity of a vehicle, residual electric quantity of a power battery and environmental information; determining an average energy consumption of the vehicle according to the environment information; determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery; and predicting the driving range of the vehicle according to the total energy and the average energy consumption. By the technical scheme, the endurance capacity of the fuel cell and the endurance capacity of the power cell can be integrated, the influence of environmental factors such as weather conditions and road traffic conditions is considered, the driving range of the vehicle is accurately predicted, and the problem of range anxiety of a driver is solved.

Description

Driving range prediction method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of vehicles, in particular to a driving range prediction method, a driving range prediction device, driving range prediction equipment and a storage medium.
Background
With the increasingly prominent environmental and energy problems, new energy vehicles have become a research hotspot of various automobile manufacturers and research and development institutions in the world, and among them, fuel cell vehicles are generally regarded as having broad development prospects with high efficiency and near zero emission. However, under the influence of factors such as driving conditions, weather conditions, geographical positions and the like, the driving range of the fuel cell changes greatly, and the driving range is accurately predicted and informed to a driver, so that the range anxiety problem is greatly relieved.
At present, a fuel cell vehicle mostly adopts a hybrid driving mode, and a power battery is added to be used as another power source on the basis of the fuel cell. The high-pressure hydrogen storage bottle provides fuel, and the power battery pack provides external power, so that the vehicle can accelerate, climb and run at high speed. Therefore, the fuel cell stack and the power cell supplement each other, and the driving range of the vehicle is predicted by comprehensively considering the driving range of the fuel cell stack and the power cell. In addition, the vehicle is inevitably influenced by environmental information such as road conditions and weather in the driving process, so that the driving range of the vehicle is greatly changed. In the prior art, the cruising range of the current moment is estimated only through the residual hydrogen amount of the hydrogen bottle and the hydrogen consumption rate of the current moment, the influence of the driving environment of the vehicle is not considered, and the cruising range of the power battery is not considered, so that the cruising range of the fuel battery cannot be accurately predicted.
Disclosure of Invention
The embodiment of the invention provides a driving range prediction method, a driving range prediction device, driving range prediction equipment and a storage medium, which are used for realizing the purpose of integrating the driving range of a fuel cell and the driving range of a power cell, considering the influence of environmental factors such as weather conditions, road traffic conditions and the like, and accurately predicting the driving range of a vehicle.
In a first aspect, an embodiment of the present invention provides a driving range prediction method, including:
acquiring available hydrogen quantity of a vehicle, residual electric quantity of a power battery and environmental information;
determining an average energy consumption of the vehicle according to the environment information;
determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and predicting the driving range of the vehicle according to the total energy and the average energy consumption.
Further, the environment information includes: at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to a road traffic state, and an average acceleration corresponding to a road traffic state.
Further, determining an average energy consumption of the vehicle based on the environmental information includes:
acquiring preset energy consumption;
calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption, wherein the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
Further, acquiring the available hydrogen amount of the vehicle comprises the following steps:
acquiring the volume, pressure and temperature of a vehicle hydrogen storage bottle;
acquiring the density of hydrogen in the hydrogen storage bottle according to the pressure and the temperature;
and calculating the residual hydrogen amount of the vehicle according to the density of the hydrogen in the hydrogen storage bottle, wherein the calculation formula is as follows:
MR＝V×ρ；
wherein M isRIs the residual hydrogen amount, V is the volume of the hydrogen storage bottle, and rho is the density of the hydrogen in the hydrogen storage bottle;
obtaining the available hydrogen amount according to the residual hydrogen amount, wherein the calculation formula is as follows:
MC＝MR-MN；
wherein M isCFor the amount of available hydrogen, MNIs a preset amount of unavailable hydrogen.
Further, determining the total energy of the vehicle according to the available hydrogen amount and the residual capacity of the power battery comprises the following steps:
and calculating available hydrogen energy according to the available hydrogen amount, wherein the calculation formula is as follows:
E1＝MC×H；
wherein E is1H represents the lower heating value of hydrogen, and H is 1120000 kj/kg;
and calculating the residual energy of the power battery according to the residual electric quantity of the power battery, wherein the calculation formula is as follows:
E2＝ME×E0；
wherein E is2For surplus energy of power battery, MEFor the residual capacity of the power battery, E0The energy is the energy when the power battery is fully charged;
and calculating the total energy of the vehicle according to the available hydrogen energy and the residual energy of the power battery, wherein the calculation formula is as follows:
E＝E1+E2；
wherein E is the total energy of the vehicle.
Further, predicting a driving range of the vehicle based on the total energy and the average energy consumption, comprising:
determining a ratio of the total energy and the average energy consumption as a driving range of the vehicle.
In a second aspect, an embodiment of the present invention further provides a driving range prediction apparatus, including:
the acquisition module is used for acquiring the available hydrogen amount of the vehicle, the residual electric quantity of the power battery and the environmental information;
the first determination module is used for determining the average energy consumption of the vehicle according to the environment information;
the second determination module is used for determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and the prediction module is used for predicting the driving range of the vehicle according to the total energy and the average energy consumption.
Further, the environment information includes: at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to a road traffic state, and an average acceleration corresponding to a road traffic state.
Further, the first determining module includes:
a first obtaining unit configured to obtain a preset energy consumption amount;
a first calculating unit, configured to calculate an average energy consumption of the vehicle according to the environment information and the preset energy consumption, where the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
Further, the obtaining module is specifically configured to:
acquiring the volume, pressure and temperature of a vehicle hydrogen storage bottle;
acquiring the density of hydrogen in the hydrogen storage bottle according to the pressure and the temperature;
and calculating the residual hydrogen amount of the vehicle according to the density of the hydrogen in the hydrogen storage bottle, wherein the calculation formula is as follows:
MR＝V×ρ；
wherein M isRIs the residual hydrogen amount, V is the volume of the hydrogen storage bottle, and rho is the density of the hydrogen in the hydrogen storage bottle;
obtaining the available hydrogen amount according to the residual hydrogen amount, wherein the calculation formula is as follows:
MC＝MR-MN；
wherein M isCFor the amount of available hydrogen, MNIs a preset amount of unavailable hydrogen.
Further, the second determining module includes:
a first calculating unit, configured to calculate available hydrogen energy according to the available hydrogen amount, where the calculation formula is as follows:
E1＝MC×H；
wherein E is1H represents the lower heating value of hydrogen, and H is 1120000 kj/kg;
the second calculation unit is used for calculating the residual energy of the power battery according to the residual electric quantity of the power battery, and the calculation formula is as follows:
E2＝ME×E0；
wherein E is2For surplus energy of power battery, MEFor the residual capacity of the power battery, E0The energy is the energy when the power battery is fully charged;
a third calculation unit for calculating the total energy of the vehicle from the available hydrogen energy and the power battery remaining energy, according to the following calculation formula:
E＝E1+E2；
wherein E is the total energy of the vehicle.
Further, the prediction module is specifically configured to:
determining a ratio of the total energy and the average energy consumption as a driving range of the vehicle.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the driving range prediction method according to any one of the embodiments of the present invention when executing the computer program.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the driving range prediction method according to any one of the embodiments of the present invention.
The method and the device have the advantages that the total energy and the average energy consumption of the vehicle are obtained by obtaining the available hydrogen quantity of the vehicle, the residual electricity quantity of the power battery and the environmental information, and the driving range of the vehicle is predicted, so that the technical effects that the driving range of the fuel battery cannot be accurately predicted due to the fact that the driving range of the vehicle is estimated only through the residual hydrogen quantity of the hydrogen bottle and the hydrogen consumption rate of the current time, the influence of the driving environment of the vehicle is not considered, the driving range of the power battery is not considered, the driving range of the fuel battery cannot be accurately predicted, the driving range of the fuel battery and the driving range of the power battery are integrated, the influence of environmental factors such as weather conditions and road traffic conditions is considered, the driving range of the vehicle is accurately predicted, and the range anxiety problem of a driver.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flowchart of a driving range prediction method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a driving range prediction method according to a second embodiment of the present invention;
FIG. 2a is a flowchart of another driving range prediction method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a driving range prediction apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example one
Fig. 1 is a flowchart of a driving range prediction method according to an embodiment of the present invention, where the present embodiment is applicable to a case of predicting a driving range of a vehicle, and the method may be executed by a driving range prediction apparatus according to an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, as shown in fig. 1, and the method specifically includes the following steps:
and S110, acquiring the available hydrogen amount of the vehicle, the residual power of the power battery and the environmental information.
The available hydrogen amount of the vehicle refers to the part of the vehicle hydrogen storage bottle which can be actually conveyed to the fuel cell for generating electric energy. The remaining capacity of the power battery, i.e., the state of charge (SOC), refers to the available state of the remaining charge in the power battery. The environmental information refers to any information which can affect the driving range of the hydrogen fuel cell and the power cell of the vehicle, such as the current driving road condition, weather and the like of the vehicle.
Specifically, the current available hydrogen amount and the residual capacity of the power battery of the vehicle and the environmental information of the running process of the vehicle are obtained in real time, so that the running capacity of the fuel battery and the running capacity of the power battery are comprehensively considered, and the influence of the environmental information on the running capacity of the vehicle is comprehensively considered. The method for obtaining the available hydrogen amount may be to obtain the remaining hydrogen amount in the hydrogen storage bottle, obtain the available hydrogen amount according to the remaining hydrogen amount and the unavailable hydrogen amount, or directly obtain the available hydrogen amount. The method for acquiring the residual capacity of the power battery can be acquiring through a sensor. Optionally, the environment information includes: at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to a road traffic state, and an average acceleration corresponding to a road traffic state.
Specifically, the lane traffic status may include: unblocked, congested and slow. The average vehicle speed corresponding to the road traffic state and the average acceleration corresponding to the road traffic state may be obtained by electronic map GPS positioning, and the ambient temperature, ambient humidity, and atmospheric pressure may be obtained by a temperature and humidity sensor and a pressure sensor.
And S120, determining the average energy consumption of the vehicle according to the environment information.
The average energy consumption is the average energy consumption per hundred kilometers of the automobile running on the road.
Specifically, the average energy consumption of the vehicle is determined based on the environmental information of the vehicle to take into account the influence of the environmental information on the driving range of the vehicle.
And S130, determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery.
Specifically, the total energy of the vehicle is determined according to the available hydrogen amount in the hydrogen storage bottle of the vehicle and the residual capacity of the power battery, so that the driving capacity of the fuel battery and the driving capacity of the power battery are comprehensively considered.
And S140, predicting the driving range of the vehicle according to the total energy and the average energy consumption.
According to the technical scheme of the embodiment, the total energy and the average energy consumption of the vehicle are obtained by obtaining the available hydrogen amount of the vehicle, the residual electric quantity of the power battery and the environmental information to predict the driving range of the vehicle, the driving range of the fuel battery and the driving range of the power battery can be integrated, the influence of environmental factors such as weather conditions and road traffic conditions is considered, the driving range of the vehicle is accurately predicted, and the problem of range anxiety of a driver is solved.
Example two
Fig. 2 is a flowchart of a driving range prediction method according to a second embodiment of the present invention, which is optimized based on the above-mentioned embodiment, in which determining an average energy consumption of a vehicle according to the environmental information includes: acquiring preset energy consumption; calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption, wherein the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
As shown in fig. 2, the method of this embodiment specifically includes the following steps:
and S210, acquiring the available hydrogen amount, the residual power of the power battery and the environmental information of the vehicle.
And S220, acquiring preset energy consumption.
Specifically, 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 habit of the driver driving the vehicle, the common environment of the vehicle, and the like. The preset energy consumption amount may be obtained based on a large amount of statistical information of a developer. The embodiments of the present invention are not limited thereto.
For example, the preset energy consumption amount may be determined according to an average speed of a vehicle when a front road section is unblocked and an average acceleration of the vehicle when the front road section is unblocked under a preset temperature, a preset humidity and a preset atmospheric pressure of the vehicle of a certain vehicle type, where the preset temperature, the preset humidity and the preset atmospheric pressure may be set according to a geographical position where the vehicle runs and a common environment, or may be set according to a weather change of the common geographical position of the vehicle.
S230, calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption, wherein the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
Specifically, when x1＝b1，x2＝b2，x3＝b3，x4＝b4And x5＝b5In the meantime, the vehicleThe average energy consumption of the vehicle is a preset energy consumption. That is, an average energy consumption amount of the vehicle is calculated according to the preset energy consumption amount and a difference value between the current environment information of the vehicle and the preset environment information. The environment information may be at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to the road traffic state, and an average acceleration corresponding to the road traffic state.
For example, if the environment information is an average vehicle speed corresponding to an environment temperature, an environment humidity and a road traffic state, a formula for calculating an average energy consumption of the vehicle according to the environment information and the preset energy consumption is as follows:
F(x1,x2,x4)＝F0+a1(x1-b1)+a2(x2-b2)+a4(x4-b4)；
if the environment information is environment temperature, environment humidity, average vehicle speed corresponding to the road traffic state and average acceleration corresponding to the road traffic state, a formula for calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption is as follows:
F(x1,x2,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a4(x4-b4)+a5(x5-b5)；
and by analogy, calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption, wherein the environment information can be at least one of environment temperature, environment humidity, atmospheric pressure, average vehicle speed corresponding to the road traffic state and average acceleration corresponding to the road traffic state.
And S240, determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery.
And S250, predicting the driving range of the vehicle according to the total energy and the average energy consumption.
Optionally, obtaining an available amount of hydrogen of the vehicle includes:
acquiring the volume, pressure and temperature of a vehicle hydrogen storage bottle;
acquiring the density of hydrogen in the hydrogen storage bottle according to the pressure and the temperature;
and calculating the residual hydrogen amount of the vehicle according to the density of the hydrogen in the hydrogen storage bottle, wherein the calculation formula is as follows:
MR＝V×ρ；
wherein M isRIs the residual hydrogen amount, V is the volume of the hydrogen storage bottle, and rho is the density of the hydrogen in the hydrogen storage bottle;
obtaining the available hydrogen amount according to the residual hydrogen amount, wherein the calculation formula is as follows:
MC＝MR-MN；
wherein M isCFor the amount of available hydrogen, MNIs a preset amount of unavailable hydrogen.
Specifically, the pressure and the temperature of the current hydrogen storage bottle are obtained through a sensor, and the hydrogen gas density is calculated according to the pressure and the temperature, wherein the calculation formula is as follows:
Figure BDA0002797724880000121
where ρ is the hydrogen density in grams (g); m is the molar mass of hydrogen molecules, and m is 2.016 g/mol; r is a common gas constant, and R is 0.0083145 MPa.L/(mol.K); z is a hydrogen compression factor, the pressure in the hydrogen storage bottle is 70MPa, and the compression factor is 1.462 when the temperature of gas in the hydrogen storage bottle is 15 ℃; t is the temperature of the gas in the hydrogen storage bottle and is expressed in Kelvin (K).
Then, the residual hydrogen amount of the vehicle is calculated according to the density of the hydrogen inside the hydrogen storage bottle and the volume of the hydrogen storage bottle. And finally, obtaining the available hydrogen amount according to the residual hydrogen amount and the unavailable hydrogen amount. Wherein the amount of the unavailable hydrogen is a preset fixed value.
Optionally, determining the total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery includes:
and calculating available hydrogen energy according to the available hydrogen amount, wherein the calculation formula is as follows:
E1＝MC×H；
wherein E is1H represents the lower heating value of hydrogen, and H is 1120000 kj/kg;
and calculating the residual energy of the power battery according to the residual electric quantity of the power battery, wherein the calculation formula is as follows:
E2＝ME×E0；
wherein E is2For surplus energy of power battery, MEFor the residual capacity of the power battery, E0The energy is the energy when the power battery is fully charged;
and calculating the total energy of the vehicle according to the available hydrogen energy and the residual energy of the power battery, wherein the calculation formula is as follows:
E＝E1+E2；
wherein E is the total energy of the vehicle.
Optionally, predicting the driving range of the vehicle according to the total energy and the average energy consumption includes:
determining a ratio of the total energy and the average energy consumption as a driving range of the vehicle.
Specifically, 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:
Figure BDA0002797724880000131
wherein L is the driving range of the vehicle, E is the total energy of the vehicle, and F is the average energy consumption of the vehicle. F is a function of the environment information. If F (x)1,x2,x3,x4,x5) The average energy consumption of the vehicle is F when the respective variables of (1) are determined.
As shown in fig. 2a, the technical solution of this embodiment includes the following specific steps: and acquiring the average speed of the vehicle on the road section in front of the vehicle, the average acceleration of the vehicle on the road section in front of the vehicle, the ambient temperature, the ambient humidity and the atmospheric pressure, and calculating the average energy consumption of the vehicle on the road section in front of the vehicle. And acquiring energy corresponding to the residual hydrogen quantity of the current vehicle and energy corresponding to the residual electric quantity of the current vehicle, so as to calculate the residual total energy of the vehicle. And predicting the driving range of the vehicle according to the residual total energy of the vehicle. According to the technical scheme of the embodiment, the total energy and the average energy consumption of the vehicle are obtained by obtaining the available hydrogen amount of the vehicle, the residual electric quantity of the power battery and the environmental information to predict the driving range of the vehicle, the driving range of the fuel battery and the driving range of the power battery can be integrated, the influence of environmental factors such as weather conditions and road traffic conditions is considered, the driving range of the vehicle is accurately predicted, and the problem of range anxiety of a driver is solved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a driving range prediction apparatus according to a third embodiment of the present invention. The embodiment may be applied to the case of predicting the driving range of the vehicle, and the apparatus may be implemented in a software and/or hardware manner, and may be integrated into any device that provides the driving range prediction function, as shown in fig. 3, where the driving range prediction apparatus specifically 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 an available hydrogen amount of a vehicle, a remaining power of a power battery, and environmental information;
a first determining module 320 for determining an average energy consumption of the vehicle according to the environment information;
a second determination module 330, configured to determine a total energy of the vehicle according to the available hydrogen amount and the remaining power of the power battery;
and the prediction module 340 is used for predicting the driving range of the vehicle according to the total energy and the average energy consumption.
Optionally, the environment information includes: at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to a road traffic state, and an average acceleration corresponding to a road traffic state.
Optionally, the first determining module includes:
a first obtaining unit configured to obtain a preset energy consumption amount;
a first calculating unit, configured to calculate an average energy consumption of the vehicle according to the environment information and the preset energy consumption, where the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
Optionally, the obtaining module is specifically configured to:
acquiring the volume, pressure and temperature of a vehicle hydrogen storage bottle;
acquiring the density of hydrogen in the hydrogen storage bottle according to the pressure and the temperature;
and calculating the residual hydrogen amount of the vehicle according to the density of the hydrogen in the hydrogen storage bottle, wherein the calculation formula is as follows:
MR＝V×ρ；
wherein M isRIs the residual hydrogen amount, V is the volume of the hydrogen storage bottle, and rho is the density of the hydrogen in the hydrogen storage bottle;
obtaining the available hydrogen amount according to the residual hydrogen amount, wherein the calculation formula is as follows:
MC＝MR-MN；
wherein M isCFor the amount of available hydrogen, MNIs a preset amount of unavailable hydrogen.
Optionally, the second determining module includes:
a first calculating unit, configured to calculate available hydrogen energy according to the available hydrogen amount, where the calculation formula is as follows:
E1＝MC×H；
wherein E is1H represents the lower heating value of hydrogen, and H is 1120000 kj/kg;
the second calculation unit is used for calculating the residual energy of the power battery according to the residual electric quantity of the power battery, and the calculation formula is as follows:
E2＝ME×E0；
wherein E is2For surplus energy of power battery, MEFor the residual capacity of the power battery, E0The energy is the energy when the power battery is fully charged;
a third calculation unit for calculating the total energy of the vehicle from the available hydrogen energy and the power battery remaining energy, according to the following calculation formula:
E＝E1+E2；
wherein E is the total energy of the vehicle.
Optionally, the prediction module is specifically configured to:
determining a ratio of the total energy and the average energy consumption as a driving range of the vehicle.
The product can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
According to the technical scheme of the embodiment, the total energy and the average energy consumption of the vehicle are obtained by obtaining the available hydrogen amount of the vehicle, the residual electric quantity of the power battery and the environmental information to predict the driving range of the vehicle, the driving range of the fuel battery and the driving range of the power battery can be integrated, the influence of environmental factors such as weather conditions and road traffic conditions is considered, the driving range of the vehicle is accurately predicted, and the problem of range anxiety of a driver is solved.
Example four
Fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 4 is only one example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The 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/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 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 program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. In the computer device 12 of the present embodiment, the display 24 is not provided as a separate body but is embedded in the mirror surface, and 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. Also, computer device 12 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 network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, 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 systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing the driving range prediction method provided by the embodiment of the present invention:
acquiring available hydrogen quantity of a vehicle, residual electric quantity of a power battery and environmental information;
determining an average energy consumption of the vehicle according to the environment information;
determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and predicting the driving range of the vehicle according to the total energy and the average energy consumption.
EXAMPLE five
Fifth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the driving range prediction method according to any embodiment of the present invention:
acquiring available hydrogen quantity of a vehicle, residual electric quantity of a power battery and environmental information;
determining an average energy consumption of the vehicle according to the environment information;
determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and predicting the driving range of the vehicle according to the total energy and the average energy consumption. Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer 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 computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, 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. In the context of this document, a computer 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.
A computer readable signal medium may include a propagated data signal with computer 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable 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.
Computer 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, Smalltalk, 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 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. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A driving range prediction method, comprising:
acquiring available hydrogen quantity of a vehicle, residual electric quantity of a power battery and environmental information;
determining an average energy consumption of the vehicle according to the environment information;
determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and predicting the driving range of the vehicle according to the total energy and the average energy consumption.
2. The method of claim 1, wherein the context information comprises: at least one of an ambient temperature, an ambient humidity, an atmospheric pressure, an average vehicle speed corresponding to a road traffic state, and an average acceleration corresponding to a road traffic state.
3. The method of claim 1, wherein determining an average energy consumption of the vehicle based on the environmental information comprises:
acquiring preset energy consumption;
calculating the average energy consumption of the vehicle according to the environment information and the preset energy consumption, wherein the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
4. The method of claim 1, wherein obtaining an amount of hydrogen available for the vehicle comprises:
acquiring the volume, pressure and temperature of a vehicle hydrogen storage bottle;
acquiring the density of hydrogen in the hydrogen storage bottle according to the pressure and the temperature;
and calculating the residual hydrogen amount of the vehicle according to the density of the hydrogen in the hydrogen storage bottle, wherein the calculation formula is as follows:
MR＝V×ρ；
wherein M isRIs the residual hydrogen amount, V is the volume of the hydrogen storage bottle, and rho is the density of the hydrogen in the hydrogen storage bottle;
obtaining the available hydrogen amount according to the residual hydrogen amount, wherein the calculation formula is as follows:
MC＝MR-MN；
wherein M isCFor the amount of available hydrogen, MNIs a preset amount of unavailable hydrogen.
5. The method of claim 4, wherein determining the total energy of the vehicle based on the amount of available hydrogen and the power cell remaining capacity comprises:
and calculating available hydrogen energy according to the available hydrogen amount, wherein the calculation formula is as follows:
E1＝MC×H；
wherein E is1H represents the lower heating value of hydrogen, and H is 1120000 kj/kg;
and calculating the residual energy of the power battery according to the residual electric quantity of the power battery, wherein the calculation formula is as follows:
E2＝ME×E0；
wherein E is2For surplus energy of power battery, MEFor the residual capacity of the power battery, E0The energy is the energy when the power battery is fully charged;
and calculating the total energy of the vehicle according to the available hydrogen energy and the residual energy of the power battery, wherein the calculation formula is as follows:
E＝E1+E2；
wherein E is the total energy of the vehicle.
6. The method of claim 1, wherein predicting a range of the vehicle based on the total energy and the average energy consumption comprises:
determining a ratio of the total energy and the average energy consumption as a driving range of the vehicle.
7. A driving range prediction apparatus comprising:
the acquisition module is used for acquiring the available hydrogen amount of the vehicle, the residual electric quantity of the power battery and the environmental information;
the first determination module is used for determining the average energy consumption of the vehicle according to the environment information;
the second determination module is used for determining the total energy of the vehicle according to the available hydrogen amount and the residual electric quantity of the power battery;
and the prediction module is used for predicting the driving range of the vehicle according to the total energy and the average energy consumption.
8. The apparatus of claim 7, wherein the first determining module comprises:
a first obtaining unit configured to obtain a preset energy consumption amount;
a first calculating unit, configured to calculate an average energy consumption of the vehicle according to the environment information and the preset energy consumption, where the calculation formula is as follows:
F(x1,x2,x3,x4,x5)＝F0+a1(x1-b1)+a2(x2-b2)+a3(x3-b3)+a4(x4-b4)+a5(x5-b5)；
wherein, a1、a2、a3、a4And a5Are all preset constant coefficients, x1Average speed corresponding to the current road traffic state, b1Presetting the average speed, x corresponding to the passing state for the road2Average acceleration corresponding to the current road traffic state, b2Presetting average acceleration, x corresponding to the traffic state for the road3Is the temperature of the current environment of the vehicle, b3Is a predetermined temperature, x4Humidity of the environment in which the vehicle is currently located, b4The preset humidity is x5Atmospheric pressure of the environment in which the vehicle is currently located, b5To preset atmospheric pressure, F (x)1,x2,x3,x4,x5) Is the average energy consumption of said vehicle, F0Is a preset amount of energy consumption.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-6 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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CN113671967A (en) * 2021-08-25 2021-11-19 深圳稳石氢能科技有限公司 Wind power hydrogen production and storage loading and transporting method and system, intelligent terminal and storage medium
CN113733919A (en) * 2021-09-23 2021-12-03 上汽大众汽车有限公司 Method for calculating remaining endurance mileage of fuel cell vehicle
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