CN116101291B - Method and device for reminding vehicle climbing oil consumption - Google Patents
Method and device for reminding vehicle climbing oil consumption Download PDFInfo
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- CN116101291B CN116101291B CN202211733772.7A CN202211733772A CN116101291B CN 116101291 B CN116101291 B CN 116101291B CN 202211733772 A CN202211733772 A CN 202211733772A CN 116101291 B CN116101291 B CN 116101291B
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- 239000000446 fuel Substances 0.000 claims abstract description 76
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- 230000001174 ascending effect Effects 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 10
- 230000000295 complement effect Effects 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 abstract description 16
- 230000000694 effects Effects 0.000 abstract description 9
- 230000008569 process Effects 0.000 description 9
- 230000009467 reduction Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000002347 injection Methods 0.000 description 5
- 239000007924 injection Substances 0.000 description 5
- 238000004134 energy conservation Methods 0.000 description 4
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/02—Estimation 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 ambient conditions
- B60W40/06—Road conditions
- B60W40/076—Slope angle of the road
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/12—Estimation 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 parameters of the vehicle itself, e.g. tyre models
- B60W40/13—Load or weight
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/06—Combustion engines, Gas turbines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
- B60W2530/10—Weight
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/15—Road slope, i.e. the inclination of a road segment in the longitudinal direction
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- Automation & Control Theory (AREA)
- Transportation (AREA)
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Abstract
The application discloses a method and a device for reminding fuel consumption of a vehicle climbing, wherein the method comprises the following steps: acquiring current running data of a vehicle, gradient data of a current place of the vehicle and a real-time load state; determining a starting state of the vehicle based on the current driving data and the gradient data, and determining a starting type of the vehicle by combining the starting state and the real-time load state; when the starting of the vehicle is determined to be of an unreasonable type, acquiring real-time operation data of an engine of the vehicle, calculating a real-time oil consumption value of the vehicle by adopting the real-time operation data, and carrying out oil consumption reminding according to the real-time oil consumption value. According to the application, when the starting type of the vehicle is an unreasonable type, the real-time oil consumption of the vehicle climbing can be accurately calculated by utilizing the real-time engine data of the vehicle, so that the oil consumption is reminded according to the oil consumption calculated in real time, the accuracy of oil consumption calculation can be improved, and auxiliary reminding can be performed according to the real-time oil consumption, so that a driver can adjust driving habits or driving behaviors, and the effect of reducing the oil consumption is realized.
Description
Technical Field
The application relates to the technical field of auxiliary driving, in particular to a method and a device for reminding fuel consumption of a vehicle in climbing.
Background
With the continuous development of economy and the improvement of living standard of people, the automobile conservation amount in China is continuously increased, the traffic and transportation pollution becomes one of the main factors affecting the atmospheric pollution in China, and the traffic energy conservation and emission reduction work is urgent.
In order to reduce oil consumption and realize the effects of energy conservation and emission reduction of traffic, the current common method is to firstly acquire an accumulated oil consumption signal, a vehicle speed signal and a mileage signal of a vehicle; when a preset instant oil consumption calculation time is reached, determining the average speed of the vehicle in a previous time period; comparing the average speed of the vehicle in the previous time period with a preset speed threshold; if the average speed of the vehicle in the previous time period does not reach the preset speed threshold value, calculating the instantaneous oil consumption of the vehicle by utilizing the accumulated oil consumption of the vehicle in the previous time period and the duration in the previous time period, displaying the instantaneous oil consumption to a driver, reminding the driver of the current driving condition of the vehicle, and carrying out driving adjustment to reduce the oil consumption.
However, the current common methods have the following technical problems: the vehicle may run on different road conditions (climb, downhill or congestion) within a period of driving time, and the oil consumption of running on different road conditions is different and the same, but the above method can only calculate the vehicle oil consumption within a period of driving time, and is difficult to reflect the real-time oil consumption state of the vehicle, the timeliness of the calculation result is lower, the calculation accuracy is lower, and then the user cannot be reminded of driving adjustment according to the real-time oil consumption, and further the effect of reducing the oil consumption cannot be achieved.
Disclosure of Invention
The application provides a method and a device for reminding the fuel consumption of a vehicle climbing, wherein the method can determine the starting type of the vehicle according to the running data and the load data of the vehicle, and when the starting type of the vehicle is an unreasonable type, the real-time fuel consumption of the vehicle climbing is accurately calculated by utilizing the real-time engine data of the vehicle, so that the fuel consumption is reminded according to the fuel consumption calculated in real time, the calculation accuracy can be improved, and auxiliary reminding can be carried out according to the real-time fuel consumption, so that a driver can adjust driving habits or driving behaviors, and the fuel consumption reduction effect is realized.
A first aspect of an embodiment of the present application provides a method for reminding fuel consumption during climbing a vehicle, where the method includes:
acquiring current running data of a vehicle, gradient data of a current place of the vehicle and a real-time load state;
determining a starting state of the vehicle based on the current running data and the gradient data, and determining a starting type of the vehicle by combining the starting state and the real-time load state;
determining whether the starting of the vehicle is of an unreasonable type according to the starting type;
when the starting of the vehicle is determined to be of an unreasonable type, acquiring real-time operation data of an engine of the vehicle, calculating a real-time oil consumption value of the vehicle by adopting the real-time operation data, and carrying out oil consumption reminding according to the real-time oil consumption value.
In a possible implementation manner of the first aspect, acquiring the real-time load state includes:
acquiring historical driving data of a vehicle, and counting the load type of hundred kilometers of oil consumption of the vehicle based on the historical driving data;
carrying out calibration and binding on the load type by adopting a preset load tag to form a load portrait about the speed and hundred kilometers of oil consumption;
and acquiring real-time vehicle speed data when the vehicle starts, searching a corresponding hundred kilometer oil consumption load image in the load image according to the real-time vehicle speed data, and obtaining a real-time load state of the vehicle based on the hundred kilometer oil consumption load image, wherein the real-time load state comprises a full load state and an empty load state.
In a possible implementation manner of the first aspect, the determining a starting state of the vehicle based on the current driving data and the gradient data includes:
inputting the gradient data into a preset uphill and downhill identification model to obtain a running gradient angle of the vehicle;
inputting the driving gradient angle and the current driving data into a preset hill start working condition measurement model to obtain a start state of the vehicle, wherein the start state comprises the following steps: downhill start, flat start and uphill start.
In a possible implementation manner of the first aspect, the determining a launch type of the vehicle in combination with the launch state and the real-time load state includes:
if the starting state is downhill starting and the real-time loading state is no-load state, determining that the starting type of the vehicle is no-load downhill type;
if the starting state is a downhill starting state and the real-time loading state is a full-load state, determining that the starting type of the vehicle is a full-load downhill type;
if the starting state is a flat road starting state and the real-time load state is an idle state, determining that the starting type of the vehicle is an idle flat road type;
if the starting state is a flat road starting state and the real-time load state is a full load state, determining that the starting type of the vehicle is a full load flat road type;
if the starting state is an uphill starting state and the real-time loading state is an idle state, determining that the starting type of the vehicle is an idle uphill type;
and if the starting state is uphill starting and the real-time loading state is full-load state, determining that the starting type of the vehicle is full-load uphill type.
In a possible implementation manner of the first aspect, the determining whether the vehicle starts in an unreasonable type according to the start type includes:
when the starting type is a full-load ascending type, acquiring starting gear data of the vehicle within a preset time period, wherein the starting gear data comprise an initial gear number, an ascending gear number and a descending gear number;
and if the difference value between the initial gear number and the upshift frequency is smaller than or equal to the downshift frequency, determining that the starting of the vehicle is of an unreasonable type.
In a possible implementation manner of the first aspect, after the step of acquiring current running data of the vehicle, gradient data of a current location of the vehicle, and a real-time load state, the method further includes:
preprocessing the current running data and the gradient data, wherein the preprocessing comprises the following steps: identify lost data, complement lost data, retain or delete data.
In a possible implementation manner of the first aspect, the calculation formula of the real-time fuel consumption value is as follows:
sum=speed/a number of cylinders of the engine/speed per cycle/quantity of fuel injected per cycle/B/fuel density;
the SUM is a real-time oil consumption value, and the A and the B calculate constants.
A second aspect of an embodiment of the present application provides a device for reminding fuel consumption during climbing a vehicle, where the device includes:
the acquisition module is used for acquiring current running data of the vehicle, gradient data of the current place of the vehicle and real-time load state;
the determining module is used for determining the starting state of the vehicle based on the current running data and the gradient data and determining the starting type of the vehicle by combining the starting state and the real-time load state;
the type judging module is used for determining whether the starting of the vehicle is of an unreasonable type according to the starting type;
the fuel consumption reminding module is used for reminding that when the starting of the vehicle is unreasonable, acquiring real-time running data of the engine of the vehicle, calculating a real-time fuel consumption value of the vehicle by adopting the real-time running data, and carrying out fuel consumption reminding according to the real-time fuel consumption value.
Compared with the prior art, the method and the device for reminding the fuel consumption of the vehicle climbing have the beneficial effects that: according to the application, the starting type of the vehicle can be determined according to the running data and the load data of the vehicle, when the starting type of the vehicle is an unreasonable type, the real-time oil consumption of the climbing of the vehicle is accurately calculated by utilizing the real-time engine data of the vehicle, so that the oil consumption is reminded according to the real-time calculated oil consumption, the accuracy of the oil consumption calculation can be improved, and the auxiliary reminding can be carried out according to the real-time oil consumption, so that a driver can adjust driving habits or driving behaviors, and the effect of reducing the oil consumption is realized.
Drawings
Fig. 1 is a flow chart of a method for reminding a vehicle of fuel consumption during climbing a slope according to an embodiment of the present application;
FIG. 2 is a flow chart of the operation of real-time load status identification provided by an embodiment of the present application;
FIG. 3 is a flow chart of operations for identifying an uphill or downhill slope provided by an embodiment of the present application;
FIG. 4 is a flowchart illustrating the operation of shift identification provided by an embodiment of the present application;
FIG. 5 is a flowchart illustrating the operation of skip stop identification according to an embodiment of the present application;
FIG. 6 is an operation flow chart of a method for reminding the fuel consumption of a vehicle climbing in an embodiment of the application;
fig. 7 is a schematic structural diagram of a vehicle fuel consumption warning device for climbing a slope according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
With the continuous development of economy and the improvement of living standard of people, the automobile conservation amount in China is continuously increased, the traffic and transportation pollution becomes one of the main factors affecting the atmospheric pollution in China, and the traffic energy conservation and emission reduction work is urgent.
In order to reduce oil consumption and realize the effects of energy conservation and emission reduction of traffic, the current common method is to firstly acquire an accumulated oil consumption signal, a vehicle speed signal and a mileage signal of a vehicle; when a preset instant oil consumption calculation time is reached, determining the average speed of the vehicle in a previous time period; comparing the average speed of the vehicle in the previous time period with a preset speed threshold; if the average speed of the vehicle in the previous time period does not reach the preset speed threshold value, calculating the instantaneous oil consumption of the vehicle by utilizing the accumulated oil consumption of the vehicle in the previous time period and the duration in the previous time period, displaying the instantaneous oil consumption to a driver, reminding the driver of the current driving condition of the vehicle, and carrying out driving adjustment to reduce the oil consumption.
However, the current common methods have the following technical problems: the vehicle may run on different road conditions (climb, downhill or congestion) within a period of driving time, and the oil consumption of running on different road conditions is different and the same, but the above method can only calculate the vehicle oil consumption within a period of driving time, and is difficult to reflect the real-time oil consumption state of the vehicle, the timeliness of the calculation result is lower, the calculation accuracy is lower, and then the user cannot be reminded of driving adjustment according to the real-time oil consumption, and further the effect of reducing the oil consumption cannot be achieved.
In order to solve the above problems, the following detailed description and explanation will be given to a method for reminding the fuel consumption of a vehicle climbing according to the embodiments of the present application.
Referring to fig. 1, a flow chart of a method for reminding a vehicle of fuel consumption during climbing a slope according to an embodiment of the present application is shown.
In an embodiment, the method is applicable to a vehicle-mounted terminal or a vehicle-mounted system, and the vehicle-mounted terminal can be in communication connection with a driver's intelligent terminal.
In yet another embodiment, the method is applicable to a cloud platform, which can be in communication connection with a vehicle-mounted terminal and a driver's intelligent terminal.
The method for reminding the fuel consumption of the vehicle climbing a slope can comprise the following steps:
s11, acquiring current running data of the vehicle, gradient data of a current place of the vehicle and a real-time load state.
In one embodiment, an R-BOX device is additionally arranged on a vehicle, and the current running data is obtained by collecting vehicle running data, position data, vehicle speed, engine speed, brake switch state, clutch state, circulating fuel injection quantity, accelerator pedal opening, engine hour fuel consumption, collecting time, vehicle identification code and the like in real time under the condition that the vehicle is electrified through the R-BOX device.
Meanwhile, ramp data of the current journey and the current starting place can be obtained, wherein the ramp data comprise: ramp angle, ramp direction, ramp type, ramp length, start longitude and latitude, end longitude and latitude, start altitude, end altitude, maximum altitude, minimum altitude angle, etc.
In addition, the real-time load state of the vehicle can be acquired at the same time so as to determine the load condition of the vehicle.
As an example, step S11 may include the following sub-steps:
s111, acquiring historical driving data of the vehicle, and counting the load type of hundred kilometers of oil consumption of the vehicle based on the historical driving data.
And S112, calibrating and binding the load type by adopting a preset load tag to form a load portrait about the speed and hundred kilometers of oil consumption.
S113, acquiring real-time vehicle speed data when the vehicle starts, searching a corresponding hundred kilometer oil consumption load image in the load image according to the real-time vehicle speed data, and obtaining a real-time load state of the vehicle based on the hundred kilometer oil consumption load image, wherein the real-time load state comprises a full load state, a half load state and an empty load state.
Referring to FIG. 2, a flowchart illustrating the operation of real-time load status identification is provided in accordance with one embodiment of the present application.
Specifically, the load model identifies and outputs the load conditions of the vehicle, specifically, no load, half load and full load. The real-time load state identification logic and flow are as follows:
counting the load type of hundred kilometers of oil consumption through historical data;
calibrating by using data with a load tag to form a vehicle speed and hundred kilometer oil consumption load related image;
and comparing the real-time data with the image of the speed and the oil consumption load of hundred kilometers at starting time, and outputting the real-time load state of the vehicle.
The half-load state may belong to a normal running state of the vehicle, and may be ignored and only a full-load state and an empty-load state may be considered in order to promote efficiency of subsequent calculation.
In an embodiment, after acquiring each data, each data may be incomplete or have repeated data, and in order to perfect each data, in an embodiment, after step S11, the method may further include:
s21, preprocessing the current running data and the gradient data, wherein the preprocessing comprises the following steps: identify lost data, complement lost data, retain or delete data.
Specifically, the collected data may be first stored in the R-BOX, and then transmitted back to the cloud platform or the vehicle terminal through the mobile network.
Then, according to the use requirement of the data, the collected data can be preprocessed before the data participates in the operation or logic judgment, and operations such as filling, retaining or deleting the lost data can be performed.
The rules of the data preprocessing may be as follows:
loss = 1s, the complement rule unifies the complement rule according to ETL;
the state loss of the vehicle speed or the accelerator pedal or the brake switch is more than 1s, and the model deletes the data of the line; VIN, acquisition time and GPS loss are more than 1s, and the line data are reserved;
the vehicle speed, the accelerator pedal and the clutch state are important parameters, and data must be continuously provided in the judging time.
S12, determining the starting state of the vehicle based on the current running data and the gradient data, and determining the starting type of the vehicle by combining the starting state and the real-time load state.
In an embodiment, the starting state of the vehicle under the current road condition can be determined by using the current running data and the gradient data of the vehicle, and the starting state is normal flat ground starting, half-slope starting, downhill starting or the like. And combining the starting state with the real-time loading state, so that the starting type of the vehicle can be obtained, and then the fuel consumption calculation is performed according to the starting type so as to fit the actual running condition of the vehicle, and the accuracy of the fuel consumption calculation is improved.
In an alternative embodiment, step S12 may comprise the sub-steps of:
s121, inputting the gradient data into a preset uphill and downhill identification model to obtain the running gradient angle of the vehicle.
In an embodiment, the preset uphill and downhill identification model may be a hill start working condition measurement model, and according to the engine speed and real-time vehicle speed data, vehicle position information and hill data are combined, and the uphill and downhill identification model and the load model are introduced to judge the full-load hill start driving step behavior of the driver.
S122, inputting the driving gradient angle and the current driving data into a preset hill start working condition measurement model to obtain a start state of the vehicle, wherein the start state comprises the following steps: downhill start, flat start and uphill start.
Referring specifically to fig. 3, a flowchart of the operation of identifying an uphill or downhill slope according to an embodiment of the present application is shown.
In a specific operation mode, it may be determined whether the engine speed included in the current running data is greater than a preset speed value, if the engine speed is greater than the preset speed value (for example, 100 rpm), it may be determined whether the vehicle speed included in the current running data is greater than a vehicle speed value, if the vehicle speed value is greater than the vehicle speed value (for example, 15 km/h), and the duration is greater than a preset duration, it may be determined that the vehicle is currently starting.
Then, the corresponding value of the running gradient angle can be determined, and if the running gradient angle is a negative value, the vehicle can be judged to be started on a downhill slope; if the driving gradient angle is smaller than or equal to a preset angle (for example, 3 degrees), the vehicle can be judged to be started on a flat road; if the driving gradient angle is greater than a preset angle (for example, 3 degrees), the vehicle can be judged to be started on an uphill.
After determining the starting state and the loading state, the two states may be combined to determine the starting type of the vehicle.
Referring specifically to fig. 3, in an alternative embodiment, step S12 may include the sub-steps of:
and S123, if the starting state is downhill starting and the real-time load state is no-load state, determining that the starting type of the vehicle is no-load downhill type.
And S124, if the starting state is downhill starting and the real-time load state is full load state, determining that the starting type of the vehicle is full load downhill type.
And S125, if the starting state is flat road starting and the real-time load state is no-load state, determining that the starting type of the vehicle is no-load flat road type.
And S126, if the starting state is a flat road starting state and the real-time load state is a full load state, determining that the starting type of the vehicle is a full load flat road type.
And S127, if the starting state is uphill, and the real-time load state is no-load state, determining that the starting type of the vehicle is no-load uphill.
And S128, if the starting state is uphill starting and the real-time load state is full load state, determining that the starting type of the vehicle is full load uphill type.
S13, determining whether the starting of the vehicle is of an unreasonable type according to the starting type.
According to the foregoing, the vehicle is started in various types, whether the vehicle is started in an unreasonable manner can be determined according to the starting type, if not, the real-time oil consumption of the vehicle can be immediately calculated, and the driver is reminded of adjusting the driving manner through the oil consumption.
In one embodiment, the unreasonable launch may be: full load uphill start and the driver performs a skip gear treatment on the vehicle.
The jump starting can be as follows: the operation of directly engaging in a higher gear from the next gear of the current gear skipping up gear is gear skipping, and the starting mode including gear skipping operation in the vehicle starting process is gear skipping starting.
In one embodiment, step S13 may include the sub-steps of:
s131, when the starting type is a full-load ascending type, acquiring starting gear data of the vehicle within a preset time period, wherein the starting gear data comprise an initial gear number, an upshift frequency and a downshift frequency.
In one embodiment, the shift operation of the vehicle during the hill start may be determined according to a gear identification model that determines a gear according to parameters such as a clutch signal, a brake switch state, a vehicle speed, an engine speed, an accelerator opening, and a cyclical fuel injection amount.
Referring to FIG. 4, a flow chart illustrating the operation of shift identification provided by an embodiment of the present application is shown.
In a specific implementation, it may be determined whether a clutch signal of the vehicle is received, and if the clutch signal is received, the brake switch state is processed to be closed, the vehicle speed is greater than zero, and the engine speed is greater than a preset value (e.g., 400 rpm), it may be determined that the vehicle is likely to be shifted. At this time, the fuel injection amount of the vehicle engine or the accelerator pedal opening degree can be obtained; if the fuel injection amount of the vehicle engine is equal to zero or the opening degree of the accelerator pedal is equal to zero, and the state is continuously smaller than a preset duration (for example, 2 seconds), the state can be defined as the first working condition.
Then, the first engine speed N of the vehicle may be obtained before the first operating condition is entered, respectively A After exceeding the preset time period, the second engine speed N of the vehicle B And a third engine speed N one second after the second engine speed C 。
If the third engine speed N C Is greater than or equal to a first preset speed value (e.g., 650 rpm), and a first engine speed N A And a second engine speed N B The difference in (c) is greater than or equal to a second preset rotational speed value (e.g., 100 rpm), a shift of the vehicle may be determined to be an upshift. If the third engine speed N C Is greater than or equal to a first preset speed value (e.g., 650 rpm), and a first engine speed N A And a second engine speed N B The difference in (c) is less than or equal to a third preset rotational speed value (e.g., -100 rpm), a shift of the vehicle may be determined to be a downshift.
And S132, if the difference value between the initial gear number and the upshift frequency is smaller than or equal to the downshift frequency, determining that the starting of the vehicle is of an unreasonable type.
After the upshift or downshift is determined, the initial gear number, the upshift number, and the downshift number of the vehicle may be counted. And then determining whether the driver performs a gear-shifting operation on the vehicle according to the initial gear number, the gear-shifting frequency and the gear-shifting frequency.
If the gear jump operation is performed, the starting of the vehicle can be determined to be of an unreasonable type.
In particular, referring to fig. 5, a flowchart of the operation of skip shot identification provided by an embodiment of the present application is shown.
In one implementation, when the launch type is a full-load uphill type, the first gear of the vehicle may be identified within 5 seconds from the end of the launch, resulting in an initial gear (e.g., 1 or 2, etc.). Meanwhile, whether the vehicle is upshifted or downshifted in the next operation can be determined in the manner of fig. 4 described above, and the upshift and downshift times can be counted. Wherein, the initial gear number is marked as A, the up-shift number is marked as U, and the down-shift number is marked as D.
If the initial gear number a-upshift number U is less than or equal to the preset shift number (for example, 1), and the decrease number D is the preset decrease number (for example, 0), it may be determined that the vehicle is started in a skip gear, and it may be determined that the vehicle is started in an unreasonable type. Otherwise, the vehicle can be determined to be started in a step-by-step gear shifting mode, and the vehicle can be determined to be started in a reasonable mode.
And S14, when the starting of the vehicle is determined to be of an unreasonable type, acquiring real-time operation data of an engine of the vehicle, calculating a real-time oil consumption value of the vehicle by adopting the real-time operation data, and carrying out oil consumption reminding according to the real-time oil consumption value.
According to the foregoing description, there are various types of starting, and some types of starting may be reasonable or normal types of starting; and if the starting type is the unreasonable type, the real-time running data of the vehicle engine can be obtained through the additionally arranged R-BOX equipment, and then the real-time oil consumption value of the vehicle is calculated by adopting the real-time running data.
And finally, the fuel consumption reminding can be carried out according to the real-time fuel consumption value, so that the driver is reminded that the current driving mode possibly generates high fuel consumption, and the driver is reminded of modifying the driving mode.
In an embodiment, the calculation formula of the real-time fuel consumption value is as follows:
sum=speed/a number of cylinders of the engine/speed per cycle/quantity of fuel injected per cycle/B/fuel density;
the SUM is a real-time oil consumption value, and the A and the B calculate constants.
In an alternative embodiment, starting fuel consumption (L) =sum (starting condition single measurement fuel consumption) =sum real-time fuel consumption value=engine speed/60×engine cylinder number/per cycle speed×cycle fuel injection quantity/1000000/fuel density.
In an embodiment, the fuel consumption of the vehicle can be judged according to the scientific starting fuel consumption standard. The scientific starting oil consumption can be as follows: the average value of the latest 100 times of full-load uphill scientific starting oil consumption (L) is determined as an oil consumption standard, and the standard value after each time of scientific starting is averaged according to the value of the previous 100 times.
The fuel consumption value of the single full-load uphill starting driving behavior can be calculated according to the collected vehicle operation data. When the full-load uphill starting mode is unreasonable, the oil consumption of the starting is compared with the oil consumption standard of the scientific starting, and the oil reduction potential of the single starting of the vehicle is calculated.
In an embodiment, the fuel consumption reminding mode may be a voice reminding mode. When the vehicle starts in the journey, the vehicle is identified and judged in the starting process. When the starting process is judged to be the full-load starting of the ramp, judging the rationality of the starting and following the following strategy of voice broadcasting:
when 100 times of full-load uphill starts are completed in an accumulated way, carrying out voice broadcasting on the ratio of scientific starts in 100 times of starts;
wherein, broadcast the mode: and immediately triggering voice broadcasting after the full-load uphill starting times are counted to be 100 times, and after voice broadcasting, accumulating the full-load uphill starting times from 0 again until the full-load uphill starting times reach 100 times again, triggering voice broadcasting, wherein the triggering logic of follow-up broadcasting is consistent.
Broadcasting content reference: 100 starts recently, with scientific starts reaching 60% (configurable), please continue hold (> 60%)/boost (< 60%).
In the journey, unreasonable starting behaviors appear in the uphill heavy-load starting scene, a voice broadcasting training function is immediately triggered, and the following voice training is performed:
and when the vehicle is started in a full load on an ascending slope and the current starting gear and the gear shifting mode do not meet the 1-gear starting and step-by-step gear shifting conditions, triggering voice training broadcasting when the user stops next time. For example: the front uphill full load starting mode of the vehicle can be optimized: starting at 1 gear when the uphill is fully loaded, gradually upshifting, and starting by using a flash accelerator is more scientific.
In yet another alternative embodiment, after the reminding is finished, the detailed analysis data of the current service trip starting working condition is pushed to the user through the mobile phone APP of the end user, which may include the total number of current trip starts, the number and the duty ratio of full-load uphill scientific starts, and may also include refined numerical values such as average starting time, average starting mileage and the like.
Through the journey analysis, the user can more intuitively see the index data of the specific journey, and the scientificity of the driving behavior of the driver can be improved by combining the scientific starting voice broadcasting content, so that the fuel economy in the driving process is effectively improved, and the loss of vehicle parts is reduced. The method can not only cultivate the usage habit of a driver for analysis of related indexes of driving behavior and fuel economy, but also accumulate related data, and provide data support for subsequent business expansion.
Referring to fig. 6, an operation flowchart of a method for reminding a vehicle of fuel consumption during climbing is shown.
Specifically, the current running data of the vehicle and the gradient data of the current location of the vehicle may be acquired in an online manner. When the vehicle starts, the real-time load state of the vehicle is identified through the load model, the starting state of the vehicle is identified through the uphill and downhill identification model, the starting type of the vehicle can be determined by combining the real-time load state and the starting state, finally, whether the starting mode of the vehicle is unreasonable or not can be determined according to the starting type of the vehicle, if the starting mode is unreasonable, oil consumption calculation can be immediately carried out, and a driver is informed of driving adjustment through real-time oil consumption, so that the effect of reducing the oil consumption is achieved.
The application can comprehensively consider and analyze the actual running condition of the vehicle, road conditions, driving behaviors of the driver and other factors, calculate whether the vehicle has unreasonable full-load uphill starting behaviors currently in real time, delay the voice broadcast reminding to the driver and provide the analysis content of the journey scientific starting driving behaviors. Meanwhile, through detailed data analysis and visual display forms of APP and web, a driver is more sensitive to scientific starting, and driving behaviors are promoted to be improved.
Meanwhile, the enthusiasm of the user for improving the driving behavior is improved, the fuel economy of the vehicle is improved, the abrasion of the vehicle parts in the starting process is reduced, and the vehicle cost is saved for the user in the long term.
It should be noted that the application can be applied to the situation that the ramp is more in the business process, that is, the situation that the terrain of row Cheng Zhongshan is larger and the vehicle has a larger probability of having hill start in the business process.
And meanwhile, the load of the vehicle is required to be identified, and the hill start driving behavior of the vehicle is analyzed in a model mode and whether the vehicle starts scientifically is output only when the load in the journey of the user is identified as full load. When the driver finishes 100 times of starting (configurable) in an accumulated way, a statistical voice broadcast of the scientific starting ratio is received. When unreasonable starting is generated in the business trip, scientific starting voice broadcasting is provided for a driver immediately, and a starting behavior analysis report is provided after the single business trip is finished.
In this embodiment, the embodiment of the application provides a method for reminding the fuel consumption of a vehicle climbing a slope, which has the following beneficial effects: according to the application, the starting type of the vehicle can be determined according to the running data and the load data of the vehicle, when the starting type of the vehicle is an unreasonable type, the real-time oil consumption of the climbing of the vehicle is accurately calculated by utilizing the real-time engine data of the vehicle, so that the oil consumption is reminded according to the real-time calculated oil consumption, the accuracy of the oil consumption calculation can be improved, and the auxiliary reminding can be carried out according to the real-time oil consumption, so that a driver can adjust driving habits or driving behaviors, and the effect of reducing the oil consumption is realized.
The embodiment of the application also provides a reminding device for the fuel consumption of the vehicle climbing, and referring to fig. 7, a structural schematic diagram of the reminding device for the fuel consumption of the vehicle climbing provided by the embodiment of the application is shown.
For example, the reminding device for the fuel consumption of the vehicle climbing a slope may include:
an acquisition module 701, configured to acquire current running data of a vehicle, gradient data of a current location of the vehicle, and a real-time load state;
a determining module 702, configured to determine a starting state of the vehicle based on the current driving data and the gradient data, and determine a starting type of the vehicle in combination with the starting state and the real-time load state;
a type judging module 703, configured to determine whether the starting of the vehicle is an unreasonable type according to the starting type;
the fuel consumption reminding module 704 is configured to, when determining that the starting of the vehicle is of an unreasonable type, obtain real-time operation data of an engine of the vehicle, calculate a real-time fuel consumption value of the vehicle according to the real-time operation data, and perform fuel consumption reminding according to the real-time fuel consumption value.
Optionally, the acquiring module is further configured to:
acquiring historical driving data of a vehicle, and counting the load type of hundred kilometers of oil consumption of the vehicle based on the historical driving data;
carrying out calibration and binding on the load type by adopting a preset load tag to form a load portrait about the speed and hundred kilometers of oil consumption;
and acquiring real-time vehicle speed data when the vehicle starts, searching a corresponding hundred kilometer oil consumption load image in the load image according to the real-time vehicle speed data, and obtaining a real-time load state of the vehicle based on the hundred kilometer oil consumption load image, wherein the real-time load state comprises a full load state and an empty load state.
Optionally, the determining module is further configured to:
inputting the gradient data into a preset uphill and downhill identification model to obtain a running gradient angle of the vehicle;
inputting the driving gradient angle and the current driving data into a preset hill start working condition measurement model to obtain a start state of the vehicle, wherein the start state comprises the following steps: downhill start, flat start and uphill start.
Optionally, the determining module is further configured to:
if the starting state is downhill starting and the real-time loading state is no-load state, determining that the starting type of the vehicle is no-load downhill type;
if the starting state is a downhill starting state and the real-time loading state is a full-load state, determining that the starting type of the vehicle is a full-load downhill type;
if the starting state is a flat road starting state and the real-time load state is an idle state, determining that the starting type of the vehicle is an idle flat road type;
if the starting state is a flat road starting state and the real-time load state is a full load state, determining that the starting type of the vehicle is a full load flat road type;
if the starting state is an uphill starting state and the real-time loading state is an idle state, determining that the starting type of the vehicle is an idle uphill type;
and if the starting state is uphill starting and the real-time loading state is full-load state, determining that the starting type of the vehicle is full-load uphill type.
Optionally, the type judging module is further connected with:
when the starting type is a full-load ascending type, acquiring starting gear data of the vehicle within a preset time period, wherein the starting gear data comprise an initial gear number, an ascending gear number and a descending gear number;
and if the difference value between the initial gear number and the upshift frequency is smaller than or equal to the downshift frequency, determining that the starting of the vehicle is of an unreasonable type.
Optionally, the apparatus further comprises:
the preprocessing module is used for preprocessing the current running data and the gradient data, and the preprocessing comprises the following steps: identify lost data, complement lost data, retain or delete data.
Optionally, the calculation formula of the real-time fuel consumption value is as follows:
sum=speed/a number of cylinders of the engine/speed per cycle/quantity of fuel injected per cycle/B/fuel density;
the SUM is a real-time oil consumption value, and the A and the B calculate constants.
It will be clearly understood by those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
Further, an embodiment of the present application further provides an electronic device, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the reminding method of the fuel consumption of the vehicle climbing in the embodiment when executing the program.
Further, the embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer executable program, and the computer executable program is used for enabling a computer to execute the reminding method for the fuel consumption of the vehicle climbing a slope.
While the foregoing is directed to the preferred embodiments of the present application, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the application, such changes and modifications are also intended to be within the scope of the application.
Claims (8)
1. A method for reminding fuel consumption of a vehicle on a climbing slope, the method comprising:
acquiring current running data of a vehicle, gradient data of a current place of the vehicle and a real-time load state;
determining a starting state of the vehicle based on the current running data and the gradient data, and determining a starting type of the vehicle by combining the starting state and the real-time load state;
determining whether the starting of the vehicle is of an unreasonable type according to the starting type;
when the starting of the vehicle is determined to be of an unreasonable type, acquiring real-time operation data of an engine of the vehicle, calculating a real-time oil consumption value of the vehicle by adopting the real-time operation data, and carrying out oil consumption reminding according to the real-time oil consumption value;
the starting state includes: downslope starting, flat road starting and upslope starting;
the determining the starting type of the vehicle by combining the starting state and the real-time load state comprises the following steps:
if the starting state is downhill starting and the real-time loading state is no-load state, determining that the starting type of the vehicle is no-load downhill type;
if the starting state is a downhill starting state and the real-time loading state is a full-load state, determining that the starting type of the vehicle is a full-load downhill type;
if the starting state is a flat road starting state and the real-time load state is an idle state, determining that the starting type of the vehicle is an idle flat road type;
if the starting state is a flat road starting state and the real-time load state is a full load state, determining that the starting type of the vehicle is a full load flat road type;
if the starting state is an uphill starting state and the real-time loading state is an idle state, determining that the starting type of the vehicle is an idle uphill type;
if the starting state is uphill starting and the real-time loading state is full-load state, determining that the starting type of the vehicle is full-load uphill type;
the determining whether the starting of the vehicle is of an unreasonable type according to the starting type comprises:
when the starting type is a full-load ascending type, acquiring starting gear data of the vehicle within a preset time period, wherein the starting gear data comprise an initial gear number, an ascending gear number and a descending gear number;
and if the difference value between the initial gear number and the upshift frequency is smaller than or equal to the downshift frequency, determining that the starting of the vehicle is of an unreasonable type.
2. The method for reminding the fuel consumption of a vehicle climbing slope according to claim 1, wherein obtaining the real-time load state comprises:
acquiring historical driving data of a vehicle, and counting the load type of hundred kilometers of oil consumption of the vehicle based on the historical driving data;
carrying out calibration and binding on the load type by adopting a preset load tag to form a load portrait about the speed and hundred kilometers of oil consumption;
and acquiring real-time vehicle speed data when the vehicle starts, searching a corresponding hundred kilometer oil consumption load image in the load image according to the real-time vehicle speed data, and obtaining a real-time load state of the vehicle based on the hundred kilometer oil consumption load image, wherein the real-time load state comprises a full load state and an empty load state.
3. The reminding method for fuel consumption during climbing a slope according to claim 2, wherein the determining the starting state of the vehicle based on the current running data and the gradient data comprises:
inputting the gradient data into a preset uphill and downhill identification model to obtain a running gradient angle of the vehicle;
and inputting the driving gradient angle and the current driving data into a preset hill start working condition measurement model to obtain the start state of the vehicle.
4. The method for reminding the fuel consumption of a vehicle on a climbing slope according to any one of claims 1 to 3, wherein after the step of acquiring current running data of the vehicle, gradient data of a current location of the vehicle, and a real-time load state, the method further comprises:
preprocessing the current running data and the gradient data, wherein the preprocessing comprises the following steps: identify lost data, complement lost data, retain or delete data.
5. The method for reminding the vehicle to climb the slope to consume oil according to any one of claims 1 to 3, wherein the calculation formula of the real-time oil consumption value is as follows:
sum=speed/a number of cylinders of the engine/speed per cycle/quantity of fuel injected per cycle/B/fuel density;
the SUM is a real-time oil consumption value, and the A and the B calculate constants.
6. A vehicle hill climbing fuel consumption reminding device, characterized in that the device comprises:
the acquisition module is used for acquiring current running data of the vehicle, gradient data of the current place of the vehicle and real-time load state;
the determining module is used for determining the starting state of the vehicle based on the current running data and the gradient data and determining the starting type of the vehicle by combining the starting state and the real-time load state;
the type judging module is used for determining whether the starting of the vehicle is of an unreasonable type according to the starting type;
the fuel consumption reminding module is used for reminding that when the starting of the vehicle is unreasonable, acquiring real-time running data of an engine of the vehicle, calculating a real-time fuel consumption value of the vehicle by adopting the real-time running data, and carrying out fuel consumption reminding according to the real-time fuel consumption value;
the starting state includes: downslope starting, flat road starting and upslope starting;
the determining the starting type of the vehicle by combining the starting state and the real-time load state comprises the following steps:
if the starting state is downhill starting and the real-time loading state is no-load state, determining that the starting type of the vehicle is no-load downhill type;
if the starting state is a downhill starting state and the real-time loading state is a full-load state, determining that the starting type of the vehicle is a full-load downhill type;
if the starting state is a flat road starting state and the real-time load state is an idle state, determining that the starting type of the vehicle is an idle flat road type;
if the starting state is a flat road starting state and the real-time load state is a full load state, determining that the starting type of the vehicle is a full load flat road type;
if the starting state is an uphill starting state and the real-time loading state is an idle state, determining that the starting type of the vehicle is an idle uphill type;
if the starting state is uphill starting and the real-time loading state is full-load state, determining that the starting type of the vehicle is full-load uphill type;
the determining whether the starting of the vehicle is of an unreasonable type according to the starting type comprises:
when the starting type is a full-load ascending type, acquiring starting gear data of the vehicle within a preset time period, wherein the starting gear data comprise an initial gear number, an ascending gear number and a descending gear number;
and if the difference value between the initial gear number and the upshift frequency is smaller than or equal to the downshift frequency, determining that the starting of the vehicle is of an unreasonable type.
7. An electronic device, comprising: the vehicle hill climbing fuel consumption reminding method according to any one of claims 1 to 5 is realized when the processor executes the program.
8. A computer-readable storage medium storing a computer-executable program for causing a computer to execute the reminding method of fuel consumption on a vehicle hill climbing according to any one of claims 1 to 5.
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