CN117601869A - Data processing method and device for vehicle, computer equipment and storage medium - Google Patents

Data processing method and device for vehicle, computer equipment and storage medium Download PDF

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Publication number
CN117601869A
CN117601869A CN202311709675.9A CN202311709675A CN117601869A CN 117601869 A CN117601869 A CN 117601869A CN 202311709675 A CN202311709675 A CN 202311709675A CN 117601869 A CN117601869 A CN 117601869A
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vehicle
charging
electric quantity
electricity price
state
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张洪剑
黄大飞
刘小飞
陈轶
周正伟
师合迪
曹鸿圣
梁源
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Thalys Automobile Co ltd
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Thalys Automobile Co ltd
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Priority to CN202311709675.9A priority Critical patent/CN117601869A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L50/00Electric propulsion with power supplied within the vehicle
    • B60L50/50Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • B60L50/61Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles
    • B60L50/62Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles charged by low-power generators primarily intended to support the batteries, e.g. range extenders
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/105Speed
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2510/00Input parameters relating to a particular sub-units
    • B60W2510/24Energy storage means
    • B60W2510/242Energy storage means for electrical energy
    • B60W2510/244Charge state
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2520/00Input parameters relating to overall vehicle dynamics
    • B60W2520/10Longitudinal speed

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Abstract

The application relates to a data processing method, a data processing device, computer equipment and a storage medium of a vehicle. The method comprises the following steps: acquiring vehicle parameters corresponding to a vehicle; determining a target driving scene corresponding to the vehicle according to the vehicle parameters; acquiring vehicle electric quantity data corresponding to a target driving scene; and calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle. By adopting the method, the driving cost of the vehicle in different driving scenes can be calculated in real time, and the user is helped to improve the driving habit.

Description

Data processing method and device for vehicle, computer equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data processing method and apparatus for a vehicle, a computer device, and a storage medium.
Background
At present, energy sources of the range-extending vehicle comprise battery pack power, fuel oil and motor energy recovery, driving costs corresponding to different energy sources are different, and the range-extending vehicle adopts a range-extending technology on the basis of a pure electric vehicle. The principle of the technology is that under the condition that the power battery stores enough electric quantity, the internal combustion engine is added to charge the battery or directly drive the motor, so that the endurance mileage is improved, and the problem of short driving mileage of the traditional pure electric vehicle is solved.
The driving cost of the conventional range-extending vehicle is calculated in a fixed mode, the calculation mode is single, the calculated driving cost and the actual driving cost have larger deviation, and a user cannot improve the accurate driving habit according to the calculated driving cost.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a data processing method, apparatus, computer device, and storage medium for a vehicle, which can calculate driving costs of the vehicle in different driving scenarios in real time, and help users improve driving habits.
A data processing method of a vehicle, the method comprising:
acquiring vehicle parameters corresponding to a vehicle;
determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
acquiring vehicle electric quantity data corresponding to a target driving scene;
and calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle.
In one embodiment, acquiring vehicle parameters corresponding to a vehicle includes: acquiring an electric quantity state corresponding to the residual electric quantity of a battery of the vehicle, acquiring a starting state corresponding to a range extender of the vehicle, acquiring a charging gun state corresponding to a charging gun of the vehicle, acquiring a vehicle speed corresponding to the vehicle, and obtaining vehicle parameters according to the electric quantity state, the starting state, the charging gun state and the vehicle speed.
In one embodiment, determining a target driving scenario corresponding to a vehicle according to a vehicle parameter includes: when the electric quantity state is in an ascending state and the charging gun state is in a gun inserting charging state, determining that the target driving scene is a user gun inserting charging scene, when the electric quantity state is in an ascending state and the starting state is in an unactuated state, the vehicle speed is nonzero, the charging gun state is in an unactuated gun charging state, determining that the target driving scene is an energy recovery scene, when the electric quantity state is in the ascending state and the starting state is in the starting state, and when the charging gun state is in the unactuated gun charging state, determining that the target driving scene is an extended range power generation scene.
In one embodiment, acquiring vehicle power data corresponding to a target driving scenario includes: when the target driving scene is a user gun inserting charging scene, current position information corresponding to the vehicle is obtained, the charging station position is determined according to the current position information, the current vehicle charging state corresponding to the vehicle is determined according to the charging gun state, real-time charging service charge and real-time charging electricity price are obtained according to the charging station position and the current vehicle charging state, initial electric quantity corresponding to the vehicle before charging is obtained, and pile end input electric quantity corresponding to the vehicle and battery rising electric quantity are obtained.
In one embodiment, the calculating the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes: and calculating to obtain a first total charging cost according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price, and calculating to obtain the charging electricity price corresponding to the user gun inserting charging scene according to the battery rising electric quantity, the pile end input electric quantity, the initial electric quantity and the first total charging cost.
In one embodiment, acquiring vehicle power data corresponding to a target driving scenario includes: when the target driving scene is an energy recovery scene, a first electricity price of a single running period pair of a vehicle controller of the vehicle is obtained, a first residual electric quantity corresponding to a battery pack of the vehicle at the beginning of the single running period is obtained, and a first rising electric quantity corresponding to the battery pack of the vehicle in the single running period is obtained.
In one embodiment, the calculating the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes: and calculating according to the first electricity price, the first residual electric quantity and the first rising electric quantity to obtain a first energy recovery electricity price, calculating according to the first energy recovery electricity price and the first rising electric quantity to obtain a second energy recovery electricity price, and obtaining charging electricity price corresponding to an energy recovery scene according to the first energy recovery electricity price and the second energy recovery electricity price.
In one embodiment, acquiring vehicle power data corresponding to a target driving scenario includes: when the target driving scene is a range-extending power generation scene, acquiring a second electricity price of a single running period pair of a vehicle controller of the vehicle, acquiring a second residual electric quantity corresponding to a battery pack of the vehicle when the single running period starts, acquiring a second ascending electric quantity corresponding to the battery pack of the vehicle in the single running period, and acquiring conversion efficiency corresponding to oil conversion electricity of the vehicle and charging efficiency corresponding to a range extender to the battery pack of the vehicle.
In one embodiment, the calculating the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes: and calculating to obtain a first extended range power generation electricity price according to the second electricity price, the second residual quantity, the second rising electricity quantity, the conversion efficiency and the charging efficiency, calculating to obtain a second extended range power generation electricity price according to the second residual quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving distance of the vehicle, and obtaining the charging electricity price corresponding to the extended range power generation scene according to the first extended range power generation electricity price and the second extended range power generation electricity price.
In one embodiment, the method further comprises: and acquiring the corresponding charging electricity price of the vehicle in the target driving scene, receiving a user operation instruction, determining matched target data from the charging electricity price according to the user operation instruction, and displaying the target data on an instrument panel of the vehicle.
A data processing apparatus of a vehicle, the apparatus comprising:
the first acquisition module is used for acquiring vehicle parameters corresponding to the vehicle;
the determining module is used for determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
the second acquisition module is used for acquiring vehicle electric quantity data corresponding to the target driving scene;
and the calculation module is used for calculating and obtaining the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of:
acquiring vehicle parameters corresponding to a vehicle;
determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
acquiring vehicle electric quantity data corresponding to a target driving scene;
and calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring vehicle parameters corresponding to a vehicle;
determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
acquiring vehicle electric quantity data corresponding to a target driving scene;
And calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle.
According to the data processing method, the device, the computer equipment and the storage medium of the vehicle, the current target driving scene of the vehicle is determined according to the vehicle parameters corresponding to the vehicle, the vehicle electric quantity data corresponding to the target driving scene is obtained, and the charging electricity price of the vehicle in the target driving scene is obtained through calculation of the vehicle electric quantity data. Therefore, the driving cost of the vehicle in different driving scenes can be calculated in real time, and the user can be helped to improve driving habits according to the driving cost, so that the economical efficiency of the vehicle is improved.
Drawings
FIG. 1 is an application environment diagram of a data processing method of a vehicle in one embodiment;
FIG. 2 is a flow chart of a method of data processing for a vehicle in one embodiment;
FIG. 3 is a flow chart of a vehicle parameter acquisition step in one embodiment;
FIG. 4 is a flow chart of a target driving scenario determination step in one embodiment;
FIG. 5 is a flow chart of a vehicle charge data acquisition step in one embodiment;
FIG. 6 is a flow chart of a charging electricity price calculation step in one embodiment;
FIG. 7 is a flow chart of a vehicle charge data acquisition step in one embodiment;
FIG. 8 is a flow chart of a charging electricity price calculation step in one embodiment;
FIG. 9 is a flow chart of a vehicle charge data acquisition step in one embodiment;
FIG. 10 is a flow chart of a charging electricity price calculation step in one embodiment;
FIG. 11 is a flow chart of a method of data processing for a vehicle in one embodiment;
FIG. 12 is a block diagram of a data processing apparatus of a vehicle in one embodiment;
FIG. 13 is an internal block diagram of a computer device in one embodiment;
fig. 14 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The data processing method of the vehicle can be applied to an application environment shown in fig. 1. Wherein the in-vehicle terminal 102 communicates with the server 104 via a network. The in-vehicle terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers and portable wearable devices connected to the vehicle, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
Specifically, the vehicle terminal 102 obtains vehicle parameters corresponding to the vehicle, sends the vehicle parameters to the server 104, the server 104 receives the vehicle parameters, determines a target driving scene corresponding to the vehicle according to the vehicle parameters, obtains vehicle electric quantity data corresponding to the target driving scene, and calculates a charging electricity price corresponding to the vehicle according to the vehicle electric quantity data.
In one embodiment, as shown in fig. 2, a data processing method of a vehicle is provided, and the method is applied to the vehicle-mounted terminal or the server in fig. 1 for illustration, and includes the following steps:
step 202, obtaining vehicle parameters corresponding to a vehicle.
The vehicle parameters include, but are not limited to, parameters generated by components in the vehicle, parameters of the vehicle itself, and components such as a range extender, a charging gun, a battery, etc., wherein in one embodiment, the vehicle may be a range extender Cheng Cheliang, and the range extender is a range extender technology based on a pure electric vehicle, and the principle of the technology is that under the condition that a power battery stores enough electric quantity, an internal combustion engine is added to charge the battery or directly drive the motor, so that the range is improved, and the problem of short driving range of the traditional pure electric vehicle is solved.
Specifically, parameters of the vehicle and parameters generated by a target component in the vehicle are obtained, vehicle parameters corresponding to the vehicle are obtained, and the target component can be obtained according to actual service requirements, actual product requirements or actual application scenes.
Step 204, determining a target driving scene corresponding to the vehicle according to the vehicle parameters.
The target driving scenes are driving scenes with different energy sources, the energy sources comprise battery pack capacity, fuel oil and motor energy recovery, and the different driving scenes are different in vehicle electricity price and fuel oil price, so that the driving cost is different.
The target driving scene is any one of a user gun charging scene, an energy recovery charging scene and a range extender generating scene, the energy in the user gun charging scene is derived from the charging gun, the charging gun of the vehicle is inserted into the charging pile to obtain the energy, the energy in the energy recovery charging scene is derived from a battery pack of the vehicle, the battery pack of the vehicle is used for providing the energy for the vehicle, the range extender of the range extender generating scene is derived from the vehicle, and the range extender of the vehicle is used for providing the energy for the vehicle.
Specifically, after obtaining the vehicle parameters, the vehicle parameters are analyzed to determine whether the vehicle parameters meet the parameter conditions corresponding to each driving scene, thereby determining the corresponding target driving scene.
Step 206, acquiring vehicle electric quantity data corresponding to the target driving scene.
The vehicle electric quantity data is data related to vehicle electric quantity in a target driving scene, and vehicle electric quantity scenes corresponding to different driving scenes can be different, including but not limited to electric quantity, electricity price and the like. Specifically, after a target driving scene is determined, vehicle electric quantity data corresponding to the target driving scene is acquired.
And step 208, calculating to obtain the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data.
After the vehicle electric quantity data is obtained, the corresponding charging electric quantity is obtained by calculation according to the vehicle electric quantity data, the driving habit of the user can be improved through the charging electric quantity, the driving behavior can be conveniently adjusted by the user, and the vehicle economy is improved. Further, the charge electricity rate may be displayed through an instrument panel of the vehicle. The target mode in the target driving scene can be selected through the charging electricity price, and the target mode is used for driving, so that the charging electricity price of the target driving scene is increased due to the fact that some driving habits are improper, and therefore the target mode is selected according to the charging electricity price, the driving habits of a user can be effectively improved, and the economy of the user in use is improved.
In the data processing method of the vehicle, the current target driving scene of the vehicle is determined according to the vehicle parameters corresponding to the vehicle, the vehicle electric quantity data corresponding to the target driving scene is obtained, and the charging electricity price of the vehicle in the target driving scene is obtained through calculation of the vehicle electric quantity data. Therefore, the driving cost of the vehicle in different driving scenes can be calculated in real time, and the user can be helped to improve driving habits according to the driving cost, so that the economical efficiency of the vehicle is improved.
In one embodiment, as shown in fig. 3, acquiring vehicle parameters corresponding to a vehicle includes:
step 302, acquiring a state of charge corresponding to a remaining battery power of the vehicle.
Step 304, a starting state corresponding to a range extender of the vehicle is obtained.
Step 306, a charging gun state corresponding to a charging gun of the vehicle is obtained.
Step 308, obtaining a vehicle speed corresponding to the vehicle.
In step 310, vehicle parameters are derived based on the state of charge, the start-up state, the state of charge gun, and the vehicle speed.
The vehicle parameters may be an electric quantity state, a starting state, a charging gun state and a vehicle speed, the electric quantity state corresponds to a battery residual electric quantity of the vehicle, the electric quantity state comprises an electric quantity rising state, an electric quantity falling state and the like, the starting state corresponds to a range extender of the vehicle, the starting state comprises a starting state, an un-starting state and the like, the charging gun state corresponds to a charging gun of the vehicle, and the charging gun state comprises a gun inserting charging state, an un-gun inserting charging state and the like.
Specifically, since the battery remaining power of the vehicle is increased or decreased by different energy sources, a state of charge corresponding to the battery remaining power of the vehicle, which is used to reflect the remaining capacity of the battery, is obtained, which is defined as a ratio of the remaining capacity to the battery capacity in value. The common percentage represents the value range of 0 to 1. The battery soc corresponds to an electric quantity state including an electric quantity rising state and an electric quantity falling state.
Meanwhile, the starting state corresponding to the range extender of the vehicle is obtained, and the range extender can provide additional electric energy, so that the electric automobile can increase the driving mileage of the electric automobile, and the range extender in the traditional sense refers to the combination of an engine and a generator. The starting state corresponding to the range extender comprises a starting state and an unactuated state.
Meanwhile, the charging gun state corresponding to the charging gun of the vehicle is obtained, the charging gun comprises a gun inserting charging state and a gun not inserting charging state, the charging gun is a part of the vehicle for charging, and an energy source is provided for the vehicle through the charging gun.
Finally, the vehicle speed is the running speed of the vehicle, the current vehicle speed of the vehicle can be obtained, and the vehicle parameters of the vehicle can be composed of the electric quantity state, the starting state, the charging gun state and the vehicle speed.
In one embodiment, as shown in fig. 4, determining a target driving scenario corresponding to a vehicle according to a vehicle parameter includes:
step 402, when the electric quantity state is the rising state and the charging gun state is the gun inserting charging, determining the target driving scene as the gun inserting charging scene of the user.
Step 404, when the electric quantity state is the rising state, and the starting state is the non-starting state, the vehicle speed is non-zero, and the charging gun state is the non-gun charging, determining the target driving scene as the energy recovery scene.
In step 406, when the electric quantity state is the rising state and the starting state is the starting state, and the charging gun state is the non-gun-inserted charging state, the target driving scene is determined to be the range-extending power generation scene.
The vehicle parameters may include an electric quantity state, a starting state, a charging gun state, and a vehicle speed, and it is possible to determine which target driving scenario the vehicle is currently in through the vehicle parameters.
Specifically, according to the electric quantity state and the charging gun state, whether the target driving scene is in the user gun inserting charging scene or not can be determined, when the electric quantity state is in the electric quantity rising state and the charging gun state is gun inserting charging, the electric quantity rising of the vehicle is indicated to be provided by the user gun inserting charging, and the target driving scene can be determined to be the user gun inserting charging scene.
The vehicle can be determined whether to be in an energy recovery scene through the electric quantity state, the charging gun state, the vehicle speed and the starting state, when the electric quantity state is in the electric quantity rising state, and the starting state is in the non-starting state, the vehicle speed is non-zero, and the charging gun state is in the non-gun charging state, the electric quantity rising of the vehicle is provided by a battery pack from the vehicle, and the target driving scene can be determined to be the energy recovery scene.
The vehicle can be in a range-extending power generation scene according to the electric quantity state, the charging gun state and the starting state, when the electric quantity state is in the electric quantity rising state and the starting state is in the starting state, the electric quantity rising of the vehicle is indicated to be a range extender of a source vehicle when the charging gun state is in the non-gun-inserted charging state, and the target driving scene can be determined to be the range-extending power generation scene.
In one embodiment, as shown in fig. 5, acquiring vehicle power data corresponding to a target driving scenario includes:
step 502, when the target driving scene is a user gun inserting charging scene, acquiring current position information corresponding to the vehicle.
Step 504, determining the charging station location according to the current location information.
Step 506, determining the current vehicle charging state corresponding to the vehicle according to the charging gun state.
And step 508, acquiring real-time charging service charge and real-time charging electricity price according to the charging station position and the current vehicle charging state.
Step 510, obtaining the initial electric quantity corresponding to the vehicle before charging.
Step 512, the pile end input power and the battery rising power corresponding to the vehicle are obtained.
When the target driving scene is a user gun inserting charging scene, the energy of the vehicle is derived from the charging gun, so that the vehicle electric quantity data can comprise real-time charging service charge, real-time charging electricity price, initial electric quantity before a vehicle charging point, pile end input electric quantity and battery rising electric quantity under the user gun inserting charging scene, and the driving cost under the user gun inserting charging scene can be calculated through the vehicle electric quantity data.
Specifically, when the target driving scene is a user gun inserting charging scene, current position information of the vehicle is obtained, the position of the charging station is determined according to the current position information, the current vehicle charging state corresponding to the vehicle can be determined according to the charging gun state of the vehicle, the current vehicle charging state comprises direct current charging and alternating current charging, namely, whether the current vehicle charging state is direct current charging or alternating current charging is judged according to the charging gun state.
Further, a real-time charging service charge and a real-time charging electricity price are obtained according to the charging station position and the current vehicle charging state, wherein the real-time charging service charge is a real-time service charge for charging a user gun, and the real-time charging electricity price is a real-time electricity price for charging the user gun.
The method comprises the steps of acquiring initial electric quantity corresponding to a vehicle before charging, and pile end input electric quantity and battery rising electric quantity corresponding to the vehicle.
In this embodiment, as shown in fig. 6, the calculation of the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes:
step 602, calculating a first total charging cost according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price.
Step 604, calculating to obtain a charging electricity price corresponding to the user gun charging scene according to the battery rising electricity quantity, the pile end input electricity quantity, the initial electricity quantity and the first total charging cost.
The statistics calculation can be performed according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price to obtain a first total charging cost, and then the charging electricity price corresponding to the user gun inserting charging scene is obtained according to the battery rising electric quantity, the pile end input electric quantity, the initial electric quantity and the first total charging cost.
For example, according to the pile end input power x1 (kwh), the real-time charging service charge and the real-time charging power price, the total charging cost y1 (element) is calculated, the initial power x0 before charging, the pile end input power x1 (kwh), the battery rising power x2 (kwh) and the total charging cost y1 (element) are obtained, and the power price z= [ (z0+x0) + (y1+x1/x2) ]/(x0+x2) corresponding to each kwh power after charging.
In one embodiment, as shown in fig. 7, acquiring vehicle power data corresponding to a target driving scenario includes:
step 702, when the target driving scene is an energy recovery scene, acquiring a first electricity price at the beginning of a single running period pair of a whole vehicle controller of a vehicle.
Step 704, obtaining a first remaining power corresponding to a battery pack of the vehicle at the beginning of a single operation period.
Step 706, obtaining a first rising electric quantity corresponding to a battery pack of the vehicle in a single operation period.
When the target driving scene is an energy recovery scene, the energy of the vehicle is derived from the battery pack, so that in the energy recovery scene, the vehicle electric quantity data can comprise a first electricity price of a vehicle controller of the vehicle at the beginning of a single running period pair, a first residual electric quantity of the battery pack of the vehicle at the beginning of the single running period and a first rising electric quantity, and the driving cost in the energy recovery scene can be calculated through the electric quantity data.
Specifically, when the target driving scenario is an energy recovery scenario, a first electricity price z1 at the beginning of a single operation cycle pair of the vehicle controller VCU of the vehicle is acquired, the remaining capacity of the vehicle battery pack at the beginning of the single cycle is y3, and the rising capacity of the vehicle battery pack at the beginning of the single operation cycle is y4, that is, the acquired first electricity price, first remaining capacity and first rising capacity can form vehicle capacity data in the energy recovery scenario.
In this embodiment, as shown in fig. 8, the calculation of the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes:
step 802, calculating to obtain a first energy recovery electricity price according to the first electricity price, the first residual electricity quantity and the first rising electricity quantity.
Step 804, calculating to obtain a second energy recovery electricity price according to the first energy recovery electricity price and the first rising electric quantity.
And step 806, obtaining the charging electricity price corresponding to the energy recovery scene according to the first energy recovery electricity price and the second energy recovery electricity price.
The first energy recovery electricity price can be obtained through calculation according to the first electricity price, the first residual electricity quantity and the first rising electricity quantity, the second energy recovery electricity price is obtained through calculation according to the first energy recovery electricity price and the first rising electricity quantity, and finally the first energy recovery electricity price and the second energy recovery electricity price form charging electricity prices corresponding to the energy recovery scene.
For example, when the power rate z1 at the beginning of each operation cycle of the VCU is corrected, the remaining power of the whole vehicle battery pack at the beginning of a single cycle is y3, and the rising power of the battery pack at the single cycle is y4, z=z1 [ y 3/(y3+y4) ], and when energy is recovered, the z is continuously corrected in an iterative manner, and the power rate z2=z1×y4 of the power recovered at the single cycle.
In the current journey, corresponding driving mode and energy recovery mode settings are recorded, y4 and z2 are integrated, total electric quantity y4 recovered in the current journey and total electricity price z2 saved are obtained, accordingly, the improvement effect of an energy recovery function on vehicle endurance and economy is reflected for a user, and the energy recovery mode is helped to be selected.
In one embodiment, as shown in fig. 9, acquiring vehicle power data corresponding to a target driving scenario includes:
and step 902, when the target driving scene is a range-extending power generation scene, acquiring a second electricity price at the beginning of a single running period pair of the whole vehicle controller of the vehicle.
Step 904, obtaining a second remaining power corresponding to a battery pack of the vehicle at the beginning of a single operation period.
Step 906, obtaining a second rising electric quantity corresponding to the battery pack of the vehicle in a single operation period.
Step 908, obtaining a conversion efficiency corresponding to the oil conversion electricity of the vehicle and a charging efficiency corresponding to the range extender to battery pack of the vehicle.
When the target driving scene is a range-extending power generation scene, the energy of the vehicle is derived from the range extender, so that in the range-extending power generation scene, the vehicle electric quantity data can comprise a second electricity price of a single running period pair of the vehicle controller, a second residual electric quantity and a second rising electric quantity of a battery pack of the vehicle when the single running period starts, and conversion efficiency corresponding to the vehicle in oil-electricity conversion and charging efficiency corresponding to the range extender to the battery pack. The driving cost in the range-extending power generation scene can be calculated through the electric quantity data.
In this embodiment, as shown in fig. 10, the calculation of the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data includes:
step 1002, calculating to obtain the first extended-range power generation electricity price according to the second electricity price, the second remaining power, the second rising power, the conversion efficiency and the charging efficiency.
And step 1004, calculating to obtain a second range-extending power generation electricity price according to the second residual electric quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving range of the vehicle.
And step 1006, obtaining charging electricity prices corresponding to the range-extended power generation scenes according to the first range-extended power generation electricity price and the second range-extended power generation electricity price.
The first range-increasing power generation electricity price can be obtained by calculation according to the second electricity price, the second residual electric quantity, the second rising electric quantity, the conversion efficiency and the charging efficiency, the second range-increasing power generation electricity price is obtained by calculation according to the second residual electric quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving range of the vehicle, and finally the charging electricity price corresponding to the range-increasing power generation scene can be obtained by the first range-increasing power generation electricity price and the second range-increasing power generation electricity price. Namely, the charging electricity price corresponding to the range-extending electricity generation scene comprises a first range-extending electricity generation electricity price and a second range-extending electricity generation electricity price.
For example, the initial electricity price z1 is corrected for each operation cycle of the vehicle's whole vehicle controller VCU, the remaining charge of the whole vehicle battery pack at the beginning of a single cycle is y3, the rising charge of the single cycle battery pack is y4, the range extender oil-to-electricity efficiency is n1 (each 1L of oil can generate nkwh), the charging efficiency of the range extender to the battery pack is n2, the first range extender electricity price z= [ z1×y3+y4×s/(n 1×n2) ]/(y3+y4), the iteration correction is continuously performed on z when the range extender electricity is increased, and the cost of the single cycle due to oil-to-electricity conversion is increased, and the second range extender electricity price z3=y3=s/(n 1×n2) -z1].
In one embodiment, as shown in fig. 11, the method further includes:
step 1102, obtaining a charging electricity price corresponding to the vehicle in the target driving scene.
Step 1104, receiving a user operation instruction.
Step 1106, the matched target data is determined from the charging electricity prices according to the user operation instruction.
At step 1108, the target data is displayed on the dashboard of the vehicle.
The charging electricity price corresponding to the target driving scene can be multiple, for example, the charging electricity price in the energy recovery scene can include a first energy recovery electricity price and a second energy recovery electricity price, and the charging electricity price in the range-increasing power generation scene can include a first range-increasing power generation electricity price and a second range-increasing power generation electricity price, so that a user can select and display target data in the charging electricity price according to an actual service demand, an actual product demand or an actual application scene.
Specifically, the charging electricity price of the vehicle in the target driving scene is obtained, a user operation instruction is received, the user operation instruction can be an operation instruction selected by a user, target data is selected from a plurality of charging electricity prices, further, matched target data is determined from the charging electricity prices according to the user operation instruction, and then the data is displayed on an instrument panel of the vehicle.
For example, when the situation that the range extender is not started, the battery SOC rises, the gun is not inserted for charging, and the vehicle speed is greater than 0 is simultaneously met, the situation that the energy recovery scene is judged, and the total electric quantity y4 recovered in the current travel of the instrument under the scene and the saved total electric price z2 can be displayed and selected by a user.
For example, if the range extender is started at the same time, the battery SOC is raised and the gun is not charged, and the range extender is determined to be in a range-extending power generation scene. When the range extender charges the battery pack to enable the electric quantity to rise, the user can set the total electric quantity y5 of the instrument rising due to range extending power generation and the total cost rising z4 of the vehicle due to oil power conversion under the scene to display selection.
In one embodiment, intelligent oil price record of the vehicle can be realized, the oil quantity can be increased only in a refueling scene, and after the user is identified to refuel, the position of a gas station is identified in real time through networking according to the current position information of the vehicle, so that the real-time oil price is identified, the total refueling expense y2 (element) is calculated according to the increased oil quantity m1 (L) in the oil tank and the real-time oil price, and the oil price s= [ (m0 x s 0) +y2 ]/(m0+m1) corresponding to each L of oil after refueling is calculated by combining with the initial oil quantity m0 before refueling of the vehicle. s0 is the oil price corresponding to each L of oil in the oil tank before refueling, y2 can be manually modified on a large screen by a user after refueling, and s is recalculated after y2 is modified.
In one embodiment, the user may set meter content of the vehicle, including:
(1) instantaneous driving cost:
when the user runs purely, the range extender is not started: the instantaneous vehicle cost is [ instantaneous electricity consumption (kwh/s) ×electricity price z ];
when the range extender is started: the instantaneous vehicle cost is [ instantaneous electricity consumption (kwh/s) & lt/z & gtinstantaneous oil consumption (L/s) & lt/s & gtoil price s ] & lt/s & gtand is negative when the electric quantity of the battery rises, and the vehicle cost considers the conversion from fuel oil to pure electricity; when the battery charge drops, the instantaneous power consumption (kwh/s) is positive, taking into account the drop in the battery pack charge.
(2) The driving cost of the current journey:
in the current journey, the instantaneous driving cost is integrated, the accumulated driving cost of the current journey is obtained, and the user is helped to know the driving cost of the current journey.
All meter usual display contents are displayed by default.
In one embodiment, the meter display modes include two display modes:
(1) reduced mode: in order to simplify an instrument interface, intelligent display contents of the instrument and common display contents share an upper left display area of the instrument, and intelligent display contents of the instrument are displayed when emergency acceleration, energy recovery and range-extending power generation scenes are identified. Otherwise, the display area at the left upper part of the instrument displays the normal display content.
(2) Detailed mode: the intelligent display content and the normal display content of the instrument share the left display area of the instrument, and when the scene of sudden acceleration, energy recovery and range-extending power generation is identified, the left upper display area of the instrument displays the intelligent display content of the instrument and the left lower display area of the instrument displays the normal display content. Otherwise, the display area at the left upper part of the instrument displays the normal display content.
In one embodiment, the manner of calculating the charge electricity prices in each driving scenario may be described by:
(1) the charging quantity of the user inserting gun rises:
and when the condition that the SOC of the battery rises and the gun is charged is met, judging that the user is in a gun charging scene.
And judging whether the current vehicle charging state is direct-current charging or alternating-current charging according to the identified charging state, and identifying the position of the charging station in real time through networking according to the current position information of the vehicle, so that the real-time charging electricity price is identified by combining the charging state, and the total charging cost y1 (element) is calculated according to the input electric quantity x1 (kwh) of the pile end, the real-time charging service charge and the real-time charging electricity price. Recording initial electric quantity x0 before charging, pile end input electric quantity x1 (kwh), battery rising electric quantity x2 (kwh) and total charging cost y1 (yuan), wherein the electric price z corresponding to each kwh electric quantity after charging is = [ (z 0 x 0) + (y 1 x1/x 2) ]/(x0+x2).
y1 can be manually modified on a large screen by a user after charging is finished, and z is recalculated after y1 is modified; z considers charging efficiency, and reflects the electricity price corresponding to each kwh electric quantity in the current battery pack; and z0 is the electricity price corresponding to each kwh electric quantity in the battery pack before charging.
(2) Vehicle energy recovery power rise:
and when the conditions that the range extender is not started, the battery SOC rises, the gun is not inserted for charging and the vehicle speed is greater than 0 are simultaneously met, judging that the energy recovery scene is realized.
When the vehicle energy is recovered, the calculation method for correcting z is as follows: when energy is recovered, the electricity price z1 at the beginning is corrected in each operation period of the VCU, the residual capacity of the whole vehicle battery pack at the beginning of a single period is y3, the rising capacity of the whole vehicle battery pack at the beginning of the single period is y4, z=z1 x [ y 3/(y3+y4) ], and when the energy is recovered, the z is continuously and iteratively corrected, and the electricity price z2=z1 x y4 of the energy recovered in the single period.
In the current journey, corresponding driving mode and energy recovery mode settings are recorded, y4 and z2 are integrated, total electric quantity y4 recovered in the current journey and total electricity price z2 saved are obtained, accordingly, the improvement effect of an energy recovery function on vehicle endurance and economy is reflected for a user, and the energy recovery mode is helped to be selected.
(3) The power of the extended-range power generation rises:
and when the starting of the range extender is met, the SOC of the battery rises and the battery is not charged by the gun, and the range extender is judged to be in a range-extending power generation scene.
When the set range-extending power generation target SOC is higher than the current SOC, the range extender continuously charges the battery pack to enable the electric quantity to rise, and the calculation mode for correcting z in the scene is as follows: the method comprises the steps of correcting an initial electricity price z1 in each operation period of a VCU, wherein the residual electric quantity of a whole vehicle battery pack at the beginning of a single period is y3, the rising electric quantity of the battery pack at the beginning of the single period is y4, the range extender oil-to-electricity conversion efficiency is n1 (each 1L of oil can generate nkwh), the charging efficiency from the range extender to the battery pack is n2, and z= [ z1×y3+y4×s/(n1×n2) ]/(y3+y4), and repeatedly correcting z when the range extender power generation electric quantity rises, wherein the cost rise z3=y3×s/(n1×n2) -z1] caused by oil-to-electricity conversion at the single period is continuously carried out.
And integrating y4 and z3 in the current travel to obtain the total electric quantity y5 of the battery pack in the current travel, which is increased by the increase of the travel power generation, and the total cost increase z4 of the vehicle, which is caused by the oil transfer.
Further, vehicle economy analysis may also be performed:
1) Respectively counting the rising electric quantity y4 of the battery pack in a single period of energy recovery under different instantaneous vehicle speeds according to the energy recovery mode and the vehicle speed under the energy recovery scene to obtain an energy recovery electric quantity curve corresponding to the energy recovery mode and the vehicle speed;
Counting a vehicle speed change curve in an energy recovery scene within the nearest 100km, and checking an energy recovery electric quantity curve according to the instantaneous vehicle speed v in the energy recovery scene to obtain electric quantity y4 corresponding to the instantaneous vehicle speed v in different energy recovery modes;
and displaying the speed change curve in the energy recovery scene in the nearest 100km in series by taking the horizontal axis as the distance and the vertical axis as the speed, integrating and calculating y4 values of corresponding speeds in different energy recovery modes, thereby obtaining three curves by taking the horizontal axis as the distance and the vertical axis as the total recovery electric quantity, and displaying the four curves to a user in the same horizontal axis.
When the user switches to one of weak, medium and strong energy recovery modes, multiplying the total recoverable electricity quantity of the corresponding energy recovery mode in the latest 100km by the electricity price z to obtain the latest 100km total recovered electricity price and display the total recovered electricity price.
By this function, the user is helped to better understand the impact of energy recovery mode selection on vehicle economy.
2) Within the nearest 100km, a driving section with the average vehicle cost of 1km being greater than n yuan is screened out, the section comprises a vehicle speed curve, an acceleration curve, an accelerator opening, a gradient and temperature information, n is defaulted to be 0.6, the section can be set by a user, the section can be clicked and checked by the user, the user is helped to know the driving section with higher vehicle cost, and the user is convenient to adjust driving behaviors.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described above may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with at least a part of the sub-steps or stages of other steps or other steps.
In one embodiment, as shown in fig. 12, there is provided a data processing apparatus 1200 of a vehicle, including: a first acquisition module 1202, a determination module 1204, a second acquisition module 1206, and a calculation module 1208, wherein:
the first obtaining module 1202 is configured to obtain a vehicle parameter corresponding to a vehicle.
The determining module 1204 is configured to determine a target driving scenario corresponding to the vehicle according to the vehicle parameter.
The second obtaining module 1206 is configured to obtain vehicle electrical quantity data corresponding to the target driving scenario.
The calculating module 1208 is configured to calculate a charging price corresponding to the vehicle according to the vehicle electric quantity data.
In one embodiment, the first obtaining module 1202 obtains a state of charge corresponding to a remaining battery power of the vehicle, obtains a start state corresponding to a range extender of the vehicle, obtains a charge gun state corresponding to a charge gun of the vehicle, obtains a vehicle speed corresponding to the vehicle, and obtains a vehicle parameter according to the state of charge, the start state, the charge gun state and the vehicle speed.
In one embodiment, the determining module 1204 determines that the target driving scenario is a user-plug-in charging scenario when the electric quantity state is in a rising state and the charging gun state is plug-in charging, determines that the target driving scenario is an energy recovery scenario when the electric quantity state is in a rising state and the starting state is in a non-starting state, the vehicle speed is non-zero, and the charging gun state is in a non-plug-in charging, and determines that the target driving scenario is an extended range power generation scenario when the electric quantity state is in a rising state and the starting state is in a starting state and the charging gun state is in a non-plug-in charging.
In one embodiment, when the target driving scenario is a user gun inserting charging scenario, the second obtaining module 1206 obtains current position information corresponding to the vehicle, determines a charging station position according to the current position information, determines a current vehicle charging state corresponding to the vehicle according to the charging gun state, obtains real-time charging service charge and real-time charging electricity price according to the charging station position and the current vehicle charging state, obtains initial electric quantity corresponding to the vehicle before charging, and obtains pile end input electric quantity and battery rising electric quantity corresponding to the vehicle.
In one embodiment, the calculation module 1208 calculates a first total charging cost according to the pile end input power, the real-time charging service cost and the real-time charging cost, and calculates a charging cost corresponding to the user gun charging scene according to the battery rising power, the pile end input power, the initial power and the first total charging cost.
In one embodiment, the second obtaining module 1206 obtains a first electricity price of the vehicle controller of the vehicle at the beginning of a single operation period pair when the target driving scene is the energy recovery scene, obtains a first remaining electric quantity corresponding to a battery pack of the vehicle at the beginning of the single operation period, and obtains a first rising electric quantity corresponding to the battery pack of the vehicle in the single operation period.
In one embodiment, the calculation module 1208 calculates a first energy recovery power price according to the first power price, the first remaining power and the first rising power, calculates a second energy recovery power price according to the first energy recovery power price and the first rising power, and obtains a charging power price corresponding to the energy recovery scene according to the first energy recovery power price and the second energy recovery power price.
In one embodiment, when the target driving scenario is the range-extended power generation scenario, the second obtaining module 1206 obtains a second electricity price of the vehicle controller of the vehicle at the beginning of a single operation cycle pair, obtains a second remaining electric quantity corresponding to a battery pack of the vehicle at the beginning of the single operation cycle, obtains a second ascending electric quantity corresponding to the battery pack of the vehicle in the single operation cycle, and obtains a conversion efficiency corresponding to oil conversion electricity of the vehicle and a charging efficiency corresponding to a range extender to battery pack of the vehicle.
In one embodiment, the calculation module 1208 calculates a first extended range power generation price according to the second power price, the second remaining power, the second rising power, the conversion efficiency and the charging efficiency, calculates a second extended range power generation price according to the second remaining power, the conversion efficiency, the charging efficiency, the second power price and the driving distance corresponding to the vehicle, and obtains a charging price corresponding to the extended range power generation scene according to the first extended range power generation price and the second extended range power generation price.
In one embodiment, the data processing apparatus 1200 of the vehicle acquires a charging price corresponding to the vehicle in the target driving scene, receives a user operation instruction, determines matched target data from the charging price according to the user operation instruction, and displays the target data on an instrument panel of the vehicle.
The specific limitation of the data processing apparatus of the vehicle may be referred to the limitation of the data processing method of the vehicle hereinabove, and will not be described herein. The respective modules in the data processing apparatus of the vehicle described above may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 13. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store vehicle charge data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method of a vehicle.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 14. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method of a vehicle. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structures shown in fig. 13 or 14 are merely block diagrams of portions of structures related to the aspects of the present application and are not intended to limit the computer devices to which the aspects of the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program: and acquiring vehicle parameters corresponding to the vehicle, determining a target driving scene corresponding to the vehicle according to the vehicle parameters, acquiring vehicle electric quantity data corresponding to the target driving scene, and calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring an electric quantity state corresponding to the residual electric quantity of a battery of the vehicle, acquiring a starting state corresponding to a range extender of the vehicle, acquiring a charging gun state corresponding to a charging gun of the vehicle, acquiring a vehicle speed corresponding to the vehicle, and obtaining vehicle parameters according to the electric quantity state, the starting state, the charging gun state and the vehicle speed.
In one embodiment, the processor when executing the computer program further performs the steps of: when the electric quantity state is in an ascending state and the charging gun state is in a gun inserting charging state, determining that the target driving scene is a user gun inserting charging scene, when the electric quantity state is in an ascending state and the starting state is in an unactuated state, the vehicle speed is nonzero, the charging gun state is in an unactuated gun charging state, determining that the target driving scene is an energy recovery scene, when the electric quantity state is in the ascending state and the starting state is in the starting state, and when the charging gun state is in the unactuated gun charging state, determining that the target driving scene is an extended range power generation scene.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is a user gun inserting charging scene, current position information corresponding to the vehicle is obtained, the charging station position is determined according to the current position information, the current vehicle charging state corresponding to the vehicle is determined according to the charging gun state, real-time charging service charge and real-time charging electricity price are obtained according to the charging station position and the current vehicle charging state, initial electric quantity corresponding to the vehicle before charging is obtained, and pile end input electric quantity corresponding to the vehicle and battery rising electric quantity are obtained.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating to obtain a first total charging cost according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price, and calculating to obtain the charging electricity price corresponding to the user gun inserting charging scene according to the battery rising electric quantity, the pile end input electric quantity, the initial electric quantity and the first total charging cost.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is an energy recovery scene, a first electricity price of a single running period pair of a vehicle controller of the vehicle is obtained, a first residual electric quantity corresponding to a battery pack of the vehicle at the beginning of the single running period is obtained, and a first rising electric quantity corresponding to the battery pack of the vehicle in the single running period is obtained.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating according to the first electricity price, the first residual electric quantity and the first rising electric quantity to obtain a first energy recovery electricity price, calculating according to the first energy recovery electricity price and the first rising electric quantity to obtain a second energy recovery electricity price, and obtaining charging electricity price corresponding to an energy recovery scene according to the first energy recovery electricity price and the second energy recovery electricity price.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is a range-extending power generation scene, acquiring a second electricity price of a single running period pair of a vehicle controller of the vehicle, acquiring a second residual electric quantity corresponding to a battery pack of the vehicle when the single running period starts, acquiring a second ascending electric quantity corresponding to the battery pack of the vehicle in the single running period, and acquiring conversion efficiency corresponding to oil conversion electricity of the vehicle and charging efficiency corresponding to a range extender to the battery pack of the vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating to obtain a first extended range power generation electricity price according to the second electricity price, the second residual quantity, the second rising electricity quantity, the conversion efficiency and the charging efficiency, calculating to obtain a second extended range power generation electricity price according to the second residual quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving distance of the vehicle, and obtaining the charging electricity price corresponding to the extended range power generation scene according to the first extended range power generation electricity price and the second extended range power generation electricity price.
In one embodiment, the processor when executing the computer program further performs the steps of: and acquiring the corresponding charging electricity price of the vehicle in the target driving scene, receiving a user operation instruction, determining matched target data from the charging electricity price according to the user operation instruction, and displaying the target data on an instrument panel of the vehicle.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: and acquiring vehicle parameters corresponding to the vehicle, determining a target driving scene corresponding to the vehicle according to the vehicle parameters, acquiring vehicle electric quantity data corresponding to the target driving scene, and calculating according to the vehicle electric quantity data to obtain the charging electricity price corresponding to the vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring an electric quantity state corresponding to the residual electric quantity of a battery of the vehicle, acquiring a starting state corresponding to a range extender of the vehicle, acquiring a charging gun state corresponding to a charging gun of the vehicle, acquiring a vehicle speed corresponding to the vehicle, and obtaining vehicle parameters according to the electric quantity state, the starting state, the charging gun state and the vehicle speed.
In one embodiment, the processor when executing the computer program further performs the steps of: when the electric quantity state is in an ascending state and the charging gun state is in a gun inserting charging state, determining that the target driving scene is a user gun inserting charging scene, when the electric quantity state is in an ascending state and the starting state is in an unactuated state, the vehicle speed is nonzero, the charging gun state is in an unactuated gun charging state, determining that the target driving scene is an energy recovery scene, when the electric quantity state is in the ascending state and the starting state is in the starting state, and when the charging gun state is in the unactuated gun charging state, determining that the target driving scene is an extended range power generation scene.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is a user gun inserting charging scene, current position information corresponding to the vehicle is obtained, the charging station position is determined according to the current position information, the current vehicle charging state corresponding to the vehicle is determined according to the charging gun state, real-time charging service charge and real-time charging electricity price are obtained according to the charging station position and the current vehicle charging state, initial electric quantity corresponding to the vehicle before charging is obtained, and pile end input electric quantity corresponding to the vehicle and battery rising electric quantity are obtained.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating to obtain a first total charging cost according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price, and calculating to obtain the charging electricity price corresponding to the user gun inserting charging scene according to the battery rising electric quantity, the pile end input electric quantity, the initial electric quantity and the first total charging cost.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is an energy recovery scene, a first electricity price of a single running period pair of a vehicle controller of the vehicle is obtained, a first residual electric quantity corresponding to a battery pack of the vehicle at the beginning of the single running period is obtained, and a first rising electric quantity corresponding to the battery pack of the vehicle in the single running period is obtained.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating according to the first electricity price, the first residual electric quantity and the first rising electric quantity to obtain a first energy recovery electricity price, calculating according to the first energy recovery electricity price and the first rising electric quantity to obtain a second energy recovery electricity price, and obtaining charging electricity price corresponding to an energy recovery scene according to the first energy recovery electricity price and the second energy recovery electricity price.
In one embodiment, the processor when executing the computer program further performs the steps of: when the target driving scene is a range-extending power generation scene, acquiring a second electricity price of a single running period pair of a vehicle controller of the vehicle, acquiring a second residual electric quantity corresponding to a battery pack of the vehicle when the single running period starts, acquiring a second ascending electric quantity corresponding to the battery pack of the vehicle in the single running period, and acquiring conversion efficiency corresponding to oil conversion electricity of the vehicle and charging efficiency corresponding to a range extender to the battery pack of the vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of: and calculating to obtain a first extended range power generation electricity price according to the second electricity price, the second residual quantity, the second rising electricity quantity, the conversion efficiency and the charging efficiency, calculating to obtain a second extended range power generation electricity price according to the second residual quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving distance of the vehicle, and obtaining the charging electricity price corresponding to the extended range power generation scene according to the first extended range power generation electricity price and the second extended range power generation electricity price.
In one embodiment, the processor when executing the computer program further performs the steps of: and acquiring the corresponding charging electricity price of the vehicle in the target driving scene, receiving a user operation instruction, determining matched target data from the charging electricity price according to the user operation instruction, and displaying the target data on an instrument panel of the vehicle.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (10)

1. A data processing method of a vehicle, the method comprising:
acquiring vehicle parameters corresponding to a vehicle;
determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
acquiring vehicle electric quantity data corresponding to the target driving scene;
and calculating to obtain the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data.
2. The method of claim 1, wherein the obtaining the vehicle parameter corresponding to the vehicle comprises:
Acquiring an electric quantity state corresponding to the residual electric quantity of a battery of the vehicle;
acquiring a starting state corresponding to a range extender of the vehicle;
acquiring a charging gun state corresponding to a charging gun of the vehicle;
acquiring a vehicle speed corresponding to the vehicle;
and obtaining vehicle parameters according to the electric quantity state, the starting state, the charging gun state and the vehicle speed.
3. The method of claim 2, wherein the determining the target driving scenario corresponding to the vehicle according to the vehicle parameter comprises:
when the electric quantity state is in a rising state and the charging gun state is gun inserting charging, determining that the target driving scene is a user gun inserting charging scene;
when the electric quantity state is in a rising state, and the starting state is in an un-starting state, the vehicle speed is non-zero, and the charging gun state is in an un-gun-inserted charging state, determining that the target driving scene is an energy recovery scene;
and when the electric quantity state is in a rising state and the starting state is in a starting state, and the charging gun state is in a non-gun-inserted charging state, determining that the target driving scene is a range-extending power generation scene.
4. The method of claim 3, wherein the obtaining vehicle charge data corresponding to the target driving scenario comprises:
When the target driving scene is the user gun inserting charging scene, acquiring current position information corresponding to the vehicle;
determining a charging station position according to the current position information;
determining a current vehicle charging state corresponding to the vehicle according to the charging gun state;
acquiring real-time charging service charge and real-time charging electricity price according to the charging station position and the current vehicle charging state;
acquiring the initial electric quantity corresponding to the vehicle before charging;
acquiring the corresponding pile end input electric quantity and battery rising electric quantity of the vehicle;
the calculating to obtain the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data comprises the following steps:
calculating to obtain a first total charging cost according to the pile end input electric quantity, the real-time charging service cost and the real-time charging electricity price;
and calculating to obtain the charging electricity price corresponding to the user gun charging scene according to the battery rising electric quantity, the pile end input electric quantity, the initial electric quantity and the first total charging cost.
5. The method of claim 3, wherein the obtaining vehicle charge data corresponding to the target driving scenario comprises:
when the target driving scene is the energy recovery scene, acquiring a first electricity price at the beginning of a single running period pair of a whole vehicle controller of the vehicle;
Acquiring a first residual electric quantity corresponding to a battery pack of the vehicle when the single operation period starts;
acquiring a first rising electric quantity corresponding to a battery pack of the vehicle in the single operation period;
the calculating to obtain the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data comprises the following steps:
calculating to obtain a first energy recovery electricity price according to the first electricity price, the first residual electric quantity and the first rising electric quantity;
calculating to obtain a second energy recovery electricity price according to the first energy recovery electricity price and the first rising electric quantity;
and obtaining charging electricity prices corresponding to the energy recovery scene according to the first energy recovery electricity price and the second energy recovery electricity price.
6. The method of claim 3, wherein the obtaining vehicle charge data corresponding to the target driving scenario comprises:
when the target driving scene is the range-extending power generation scene, acquiring a second electricity price of a single running period pair of the whole vehicle controller of the vehicle;
acquiring a second residual electric quantity corresponding to a battery pack of the vehicle when the single operation period starts;
acquiring a second rising electric quantity corresponding to a battery pack of the vehicle in the single operation period;
Obtaining conversion efficiency corresponding to oil conversion electricity of the vehicle and charging efficiency corresponding to a range extender to battery pack of the vehicle;
the calculating to obtain the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data comprises the following steps:
calculating to obtain a first extended range power generation electricity price according to the second electricity price, the second residual electric quantity, the second rising electric quantity, the conversion efficiency and the charging efficiency;
calculating a second range-extending power generation electricity price according to the second residual electric quantity, the conversion efficiency, the charging efficiency, the second electricity price and the corresponding driving range of the vehicle;
and obtaining charging electricity prices corresponding to the range-extending power generation scenes according to the first range-extending power generation electricity price and the second range-extending power generation electricity price.
7. The method according to any one of claims 4-6, further comprising:
acquiring a charging electricity price corresponding to the vehicle in a target driving scene;
receiving a user operation instruction;
determining matched target data from the charging electricity price according to the user operation instruction;
and displaying the target data on an instrument panel of the vehicle.
8. A data processing apparatus of a vehicle, characterized in that the apparatus comprises:
The first acquisition module is used for acquiring vehicle parameters corresponding to the vehicle;
the determining module is used for determining a target driving scene corresponding to the vehicle according to the vehicle parameters;
the second acquisition module is used for acquiring vehicle electric quantity data corresponding to the target driving scene;
and the calculation module is used for calculating and obtaining the charging electricity price corresponding to the vehicle according to the vehicle electric quantity data.
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 steps of the method according to any one of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
CN202311709675.9A 2023-12-13 2023-12-13 Data processing method and device for vehicle, computer equipment and storage medium Pending CN117601869A (en)

Priority Applications (1)

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Application Number Priority Date Filing Date Title
CN202311709675.9A CN117601869A (en) 2023-12-13 2023-12-13 Data processing method and device for vehicle, computer equipment and storage medium

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Publication Number Publication Date
CN117601869A true CN117601869A (en) 2024-02-27

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