CN108399662A - Individualized remaining mileage dynamic correcting method - Google Patents
Individualized remaining mileage dynamic correcting method Download PDFInfo
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- CN108399662A CN108399662A CN201810043239.5A CN201810043239A CN108399662A CN 108399662 A CN108399662 A CN 108399662A CN 201810043239 A CN201810043239 A CN 201810043239A CN 108399662 A CN108399662 A CN 108399662A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Abstract
The invention discloses a kind of individualized remaining mileage dynamic correcting methods, comprise the steps of：(a) when the first driver drives the first vehicle, judge the first identity information corresponding to the first driver；(b) the first driving behavior historical data to match with the first identity information is read from database according to the first identity information, wherein the first driving behavior historical data includes the first passing energy consumption mean value corresponding to the first driver；(c) according to the first of the first vehicle, remaining quantity of energy and the first passing energy consumption mean value estimate first and estimate remaining mileage number in real time；And it (d) dynamically records the first driver when the first driver is in first period the first vehicle of driving and drives the first driving data of the first vehicle, and dynamically update the first driving behavior historical data in database according to this.
Description
Technical field
The present invention is related with the correction of remaining mileage, especially with respect to a kind of individualized remaining mileage dynamic correcting method.
Background technology
Join to driver in general, current transport facility (such as automobile) can provide remaining mileage information
It examines, uses and driver is reminded to remember refuel (or charging), not yet reaching the destination to avoid the oil (electricity) of transport facility
It has exhausted before.
However, there are still own shortcomings for the remaining mileage information display function that is provided of current transport facility, urgently
It is to be overcome：
(1) since current remaining mileage information is usually calculated and analyzed both for vehicle itself, even if
When driving same portion's vehicle by different drivers, measure the every driver's analyzed according to the remaining oil (electricity) of the vehicle
Remaining mileage number can be identical, can't because of driver difference and difference.
(2) estimated although when vehicle release can carry out measuring experiment according to vehicle present situation itself influence remaining mileage because
Son, however, since this manufacture measurement discreet value is will not be re-calibrated again after fixed value and manufacture, with vehicle
Usage time more length is old without wrecking, this manufacture measures discreet value and also gradually loses its reference value.
(3) practice of tradition estimation remaining mileage information need to rely on the multiple sensors being additionally arranged or be drilled using complicated
Cost is not only significantly increased in algorithm, and precision is not obviously improved but, and is also unfavorable for being commercialized.
Therefore, it is necessary to a kind of novel individualized remaining mileage dynamic correcting method be designed, to overcome drawbacks described above.
Invention content
An embodiment according to the present invention proposes a kind of individualized remaining mileage dynamic correcting method, comprises the steps of：
(a) when the first driver drives the first vehicle, judge the first identity information corresponding to first driver；(b) basis
First identity information reads the first driving behavior historical data to match with first identity information from database, wherein
The first driving behavior historical data includes the first passing energy consumption mean value corresponding to first driver；(c) according to this first
Remaining quantity of energy and the first passing energy consumption mean value estimate first and estimate remaining mileage number the first of vehicle in real time；And (d)
When first driver drives first vehicle in first period, dynamically records first driver and drive first vehicle
The first driving data, and dynamically update the first driving behavior historical data in the database according to this.
Optionally, step (a) also includes：(a1) start in the first period it is default during record first driver
Drive the first driving behavior pattern of first vehicle；And (a2) is selected according to the first driving behavior pattern from the database
Go out first identity information.
Optionally, it is carried out according to first driver to the first driving behavior mode selective of first driver
Action of stepping on the gas, brake action, turning action, accelerated motion, flame-out action and obtain.
Optionally, it is that first driver often drives in the past corresponding to the first passing energy consumption mean value of first driver
The mean consumption quantity of energy of one unit distance.
Optionally, step (c) by this first in real time remaining quantity of energy divided by the first passing energy consumption mean value and obtain this
One estimates remaining mileage number.
Optionally, it further includes：When first driver drives first vehicle again, judge correspond to this first
First identity information of driver；It is read and the first identity information phase from the database according to first identity information
Updated first driving behavior historical data matched, wherein the updated first driving behavior historical data includes to correspond to
In updated first passing energy consumption mean value of first driver；According to the second of first vehicle the real-time remaining quantity of energy
Second, which is estimated, with the updated first passing energy consumption mean value estimates remaining mileage number；And when first driver is in second
When period drives first vehicle, the second driving data that first driver drives first vehicle is dynamically recorded, and according to
To be dynamically updated again to the updated first driving behavior historical data, wherein the second phase be later than this first
Period.
Optionally, it also comprises the steps of：(e) when the second driver drives first vehicle, judge to correspond to this
The second identity information of two drivers, wherein second driver is different from first driver；(f) according to second identity information
The the second driving behavior historical data to match with second identity information is read from the database, wherein the second driving row
Include the second passing energy consumption mean value corresponding to second driver for historical data；(g) real according to the second of first vehicle
When residue quantity of energy and the second passing energy consumption mean value estimate third and estimate remaining mileage number；And (h) when second driving
When person drives first vehicle in the second phase, the third driving number that second driver drives first vehicle is dynamically recorded
According to, and the second driving behavior historical data in the database is dynamically updated according to this.
Optionally, step (e) also includes：(e1) start in the second phase it is default during record second driver
Drive the second driving behavior pattern of first vehicle；And (e2) is selected according to the second driving behavior pattern from the database
Go out second identity information.
Optionally, step (g) by this second in real time remaining quantity of energy divided by the second passing energy consumption mean value and obtain this
Three estimate remaining mileage number.
Optionally, this is further included：When first driver drives the second vehicle, judge to correspond to first driving
First identity information of person, wherein second vehicle is different from first vehicle；According to first identity information from the database
Updated first driving behavior historical data that middle reading matches with first identity information, wherein it is updated this
One driving behavior historical data includes updated first passing energy consumption mean value corresponding to first driver；According to this
Remaining quantity of energy and the updated first passing energy consumption mean value estimate the 4th and estimate remaining mileage the third of two vehicles in real time
Number；And when first driver drives second vehicle in the second phase, dynamically recording first driver driving should
4th driving data of the second vehicle, and dynamically the updated first driving behavior historical data is carried out more again according to this
Newly, wherein the second phase is later than the first period.
Description of the drawings
Fig. 1 is painted when the first driver is in the first period the first vehicle of driving, in individualized residue according to the present invention
Journey dynamic correcting method includes the flow chart of step S10~S16.
Fig. 2 is painted when the first driver when driving the first vehicle in the second period again, and according to the present invention individualize remains
Remaining mileage dynamic correcting method further includes the flow chart of step S20~S26.
Fig. 3 is painted when the second driver is in the second period the first vehicle of driving, in individualized residue according to the present invention
Journey dynamic correcting method further includes the flow chart of step S30~S36.
Fig. 4 is painted when the first driver is in the second period the second vehicle of driving, in individualized residue according to the present invention
Journey dynamic correcting method further includes the flow chart of step S40~S46.
Specific implementation mode
To make to have further understanding to the purpose of the present invention, construction, feature and its function, hereby coordinate embodiment detailed
It is described as follows.
It is a kind of individualized remaining mileage dynamic correcting method according to a particular embodiment of the invention.In this embodiment,
Driving when individualized remaining mileage dynamic correcting method can first judge the identity of driver and drive vehicle according to different drivers
The behavior of sailing dynamically updates the driving behavior historical data of its people, and the real-time remaining quantity of energy for vehicle of arranging in pairs or groups estimates difference
The newest individualized remaining mileage number information of driver.
Please refer to Fig. 1, Fig. 1 be painted according to this embodiment in individualized remaining mileage dynamic correcting method flow chart.
As shown in Figure 1, when the first driver is when driving the first vehicle in the first period, individualized remaining mileage dynamic correcting method can wrap
Containing the following steps：
Step S10：When the first driver drives the first vehicle, judge that the first identity corresponding to the first driver is believed
Breath；
Step S12：First to match with the first identity information is read from database according to the first identity information to drive
Behavior historical data, wherein the first driving behavior historical data includes the first passing energy consumption mean value corresponding to the first driver；
Step S14：According to the first of the first vehicle, remaining quantity of energy and the first passing energy consumption mean value estimate first in real time
Estimate remaining mileage number；And
Step S16：When the first driver is in first period the first vehicle of driving, the first driver driving is dynamically recorded
First driving data of the first vehicle, and the first driving behavior historical data in database is dynamically updated according to this.
It should be noted that in step S10, the visual actual demand of this method uses different judgment modes, such as basis
The judgment modes such as driving behavior pattern, fingerprint, face or the identification card of the first driver drive to judge to correspond to first
The first identity information of person, but not limited to this.
For example, a plurality of identity informations and those identity letter of different drivers can be stored in database in advance
Correspondence between breath and a plurality of driving behavior patterns.When the first driver starts to drive the first vehicle, this method can
Prior to first period start it is default during record the action of stepping on the gas carried out when the first driver drives the first vehicle, evil spirit
Vehicle action, turning action, accelerated motion, flame-out action etc. and the first driving behavior pattern for obtaining the first driver according to this.It connects
It, this method is found out corresponding first identity further according to the first driving behavior pattern of the first driver from database and believed
Breath, and set it to the identity information of the first driver.
Corresponding to the first passing energy consumption mean value of the first driver can be the described in step S12 in practical application
One driver often drives the mean consumption quantity of energy of a unit distance, such as the gasoline of average every kilometer of 0.3 liter of consumption in the past,
But not limited to this.
Table 1
Table 1 is please referred to, for example, it is assumed that during past 10/30 (Monday) to 11/5 (Sunday) this section, first
Driver carries out seven driving behaviors altogether, driving distance is respectively 10 kilometers, 15 kilometers, 10 kilometers, 14 kilometers, 5 kilometers, 6
Kilometer, 10 kilometers and its oil consumption are respectively 5 liters, 8 liters, 6 liters, 6 liters, 2 liters, 3 liters, 5 liters, then in step
In S12, it is (5+8+ that this method can estimate first passing energy consumption mean value of first driver in the first seven driving behavior according to this
6+6+2+3+5)/(10+15+10+14+5+6+10)=35/70=0.5 liters/kilometer, that is, in past 10/30 (Monday)
Into the first seven driving behavior during 11/5 (Sunday) this section, what no matter the first driver drove is which vehicle, every
The average consumprion for driving one kilometer is 0.5 liter.
In step S14, this method can by the first of the first vehicle in real time remaining quantity of energy divided by the first driver the
One passing energy consumption mean value and obtain first and estimate remaining mileage number.For example, it is assumed that the 8th time of the first driver drives row
To be to drive the first gasoline that remaining quantity of energy is 5 liters in real time of the first vehicle and the first vehicle in 11/6 (Monday), due to
Front has calculated that the first passing energy consumption mean value of the first driver is 0.5 liter/kilometer, then can be obtained first and estimate in residue
Number of passes is 5 liters divided by 0.5 liter/kilometer=10 kilometer, that is to say, that the first vehicle can also should again travel 10 kilometers of road
Cheng Caihui exhausts gasoline.
Then, in step S16, this method dynamically records the first driver and drives the of the first vehicle in first period
(such as driving distance of first driver in the 8th driving behavior is 8 public to the first driving data in eight driving behaviors
In and oil consumption be 5 liters, but not limited to this), and dynamically update the first driving behavior history number in database according to this
According to (such as the first original passing 0.5 liter/kilometer of energy consumption mean value is updated to (35+5)/(70+8)=0.513 liters/public affairs
In, but not limited to this), that is to say, that no matter the vehicle that the first driver is driven in eight times passing driving behaviors is
What, the average consumprion that the first driver often drives 1 kilometer is 0.513 liter.
Next, after the first period that step S16 occurs, individualized remaining mileage dynamic correcting method can be divided into three
The possible situation of kind, details are as follows respectively：
(1) the first situation：Assuming that the second phase after first period still drives first again by the first driver
Vehicle, that is, the first driver drives the first vehicle and carries out its 9th driving behavior, then please refers to Fig. 2, individualize in residue
Journey dynamic correcting method can further include the following steps：
Step S20：When the first driver drives the first vehicle again, the first identity corresponding to the first driver is judged
Information；
Step S22：Read from database according to the first identity information match with the first identity information it is updated
First driving behavior historical data, wherein updated first driving behavior historical data includes to correspond to the first driver more
The first passing energy consumption mean value after new；
Step S24：More according to the real-time remaining quantity of energy of second corresponding to the first vehicle and corresponding to the first driver
The first passing energy consumption mean value after new estimates second and estimates remaining mileage number；And
Step S26：When the first driver is in the second phase the first vehicle of driving, the first driver driving is dynamically recorded
Second driving data of the first vehicle, and dynamically updated first driving behavior historical data is carried out more again according to this
Newly, wherein the second phase is later than first period.
For example, it in step S22, after this method confirms the identity of the first driver, i.e., can be read from database
Take the first driving behavior historical data of updated first driver, such as updated first passing energy consumption mean value
0.513 liter/kilometer.
Then, in step s 24, it is assumed that the second current real-time remaining quantity of energy of the first vehicle is 46.17 liters, then should
Method can be according to the second 46.17 liters of real-time remaining quantity of energy of the first vehicle and the updated first passing energy consumption mean value
It is 90 kilometers that 0.513 liter/kilometer, which estimates second and estimate remaining mileage number,.
Then, in step S26, this method dynamically records the 9th driving row that the first driver drives the first vehicle
For the second driving data, it is assumed that driving distance of first driver in the 9th driving behavior is 12 kilometers and oil consumption is
7 liters, and according to this dynamically by the updated first passing 0.513 liter/kilometer of energy consumption mean value be updated to again (40+7)/
(78+12)=0.522 liter/kilometer, that is, no matter the vehicle that the first driver is driven in nine times passing driving behaviors
Why, the flat fuel consumption that the first driver often drives 1 kilometer is 0.522 liter.
(2) the second situation：Assuming that the second phase after first period changes drives the first vehicle by the second driver,
Fig. 3 is then please referred to, individualized remaining mileage dynamic correcting method can further include the following steps：
Step S30：When the second driver drives the first vehicle, judge that the second identity corresponding to the second driver is believed
Breath, wherein the second driver is different from the first driver；
Step S32：Second to match with the second identity information is read from database according to the second identity information to drive
Behavior historical data, wherein the second driving behavior historical data includes the second passing energy consumption mean value corresponding to the second driver；
Step S34：According to the second of the first vehicle, remaining quantity of energy and the second passing energy consumption mean value estimate third in real time
Estimate remaining mileage number；And
Step S36：When the second driver is in the second phase the first vehicle of driving, the second driver driving is dynamically recorded
The third driving data of first vehicle, and the second driving behavior historical data in database is dynamically updated according to this.
It should be noted that in step S30, the visual actual demand of this method uses different means, such as according to second
The modes such as the driving behavior pattern of driver, fingerprint, face or identification card judge second corresponding to the second driver
Identity information, but not limited to this.
For example, database can store the corresponding pass between a plurality of identity informations and a plurality of driving behavior patterns
System, when the second driver starts to drive the first vehicle, this method can start prior to the second phase it is default during record the
Two drivers drive the action of stepping on the gas carried out when the first vehicle, brake action, turning action, accelerated motion, flame-out action
Deng and obtain the second driving behavior pattern of the second driver according to this.Then, this method is driven further according to the second of the second driver
It sails behavior pattern and finds out corresponding second identity information from database, and set it to the identity letter of the second driver
Breath.
Table 2
Table 2 is please referred to, for example, it is assumed that during past 11/6 (Monday) to 11/10 (Friday) this section, second
Driver carries out five driving behaviors altogether, and its driving distance is respectively 12 kilometers, 16 kilometers, 11 kilometers, 14 kilometers, 6 kilometers
And its oil consumption is respectively 5 liters, 7 liters, 5 liters, 7 liters, 2 liters, then in step S32, this method can be estimated according to this
It is (5+7+5+7+2)/(12+16+11+14+6) to go out second passing energy consumption mean value of second driver in first five driving behavior
=26/59=0.441 liters/kilometer, that is, no matter the second driver is in past 11/6 (Monday) to 11/10 (Friday) this section
During five driving behaviors in the vehicle that is driven why, the average consumprion that the second driver often drives one kilometer is
0.441 liter.
In step S34, this method can by the second of the first vehicle in real time remaining quantity of energy divided by the second driver the
Two passing energy consumption mean values and obtain second and estimate remaining mileage number.For example, it is assumed that the 6th time of the second driver drives row
To be to drive the second gasoline that remaining quantity of energy is 8.82 liters in real time of the first vehicle and the first vehicle in 11/11 (Saturday),
Since front has calculated that the second passing energy consumption mean value of the second driver is 0.441 liter/kilometer, then it can be obtained second and estimate
Remaining mileage number is 8.82 liters divided by 0.441 liter/kilometer=20 kilometer, that is, represents the first vehicle and can also should again travel 20
The distance of kilometer can just exhaust gasoline.
Then, in step S36, this method dynamically records the 6th driving row that the second driver drives the first vehicle
For the first driving data, it is assumed that the second driver the 6th driving behavior in driving distance be 14 kilometers and oil consumption
It is 6 liters, and dynamically updates the second driving behavior historical data in database according to this, such as by the second original passing consumption
Energy 0.441 liter/kilometer of mean value is updated to (40+6)/(78+14)=0.5 liters/kilometer, that is, no matter the second driver is in mistake
Toward six driving behaviors in the vehicle that is driven why, the average consumprion that the second driver often drives 1 kilometer is 0.5 public
It rises.
(3) the third situation：Assuming that the second phase after first period, what the first driver was driven is the second vehicle
Rather than the first vehicle, then please refer to Fig. 4, individualized remaining mileage dynamic correcting method can further include the following steps：
Step S40：When the first driver drives the second vehicle, judge that the first identity corresponding to the first driver is believed
Breath, wherein the second vehicle is different from the first vehicle；
Step S42：Read from database according to the first identity information match with the first identity information it is updated
First driving behavior historical data, wherein updated first driving behavior historical data includes to correspond to the first driver more
The first passing energy consumption mean value after new；
Step S44：According to the third corresponding to the second vehicle in real time remaining quantity of energy with corresponding to the first driver more
The first passing energy consumption mean value after new estimates the 4th and estimates remaining mileage number；And
Step S46：When the first driver is when driving the second vehicle in the second phase, dynamically records the first driver and drive
The 4th driving data of the second vehicle is sailed, and dynamically updated first driving behavior historical data is carried out more again according to this
Newly, wherein the second phase is later than first period.
For example, it in step S42, after this method confirms the identity of the first driver, i.e., can be read from database
Take the first driving behavior historical data according to the 8th updated first driver of driving behavior, such as updated first
Passing 0.513 liter/kilometer of energy consumption mean value.Then, in step S44, it is assumed that the current real-time remaining quantity of energy of the second vehicle
It it is 10.26 liters, then this method can be according to 10.26 liters of the real-time remaining quantity of energy of the second vehicle and updated first mistake
It is 20 public to estimate the remaining mileage number of estimating when the first driver drives the second vehicle toward energy consumption 0.513 liter/kilometer of mean value
In.
Then, in step S46, this method dynamically records the first driver and drives the of the second vehicle in the second phase
The driving data of nine driving behaviors, it is assumed that driving distance of first driver in the 9th driving behavior is 6 kilometers and oil
Consumption be 3.3 liters, and according to this dynamically by after update the first passing 0.513 liter/kilometer of energy consumption mean value update again
For (40+3.3)/(78+6)=0.515 liters/kilometer, that is, no matter the first driver institute in nine times passing driving behaviors
Why is the vehicle of driving, and the average consumprion that the first driver often drives 1 kilometer is 0.515 liter.
As for the situation that may occur after the second phase, can also be analogized according to above-described embodiment, thus it is not another in this
Row repeats, and the second vehicle of above-described embodiment still falls within the vehicle of same model different from the first vehicle, if belonging to different model
Vehicle, then there is oil consumption and convert proportion, such as the oil consumption of motor bus and minibus converts proportion as 1.5, can be used for working as
When first driver drives the second vehicle, the first passing energy consumption mean value to correct the first driver complies with driving second
The actual state of vehicle.
In other embodiment, it is assumed that the first passing energy consumption mean value of the first driver is 0.5 liter/kilometer, and second
The second passing energy consumption mean value of driver is 0.6 liter/kilometer, even if what the first driver and the second driver driven is same
One vehicle, and real-time remaining quantity of energy when the first driver and the second driver drive portion's vehicle is 30 liters, this
Invention estimate when the first driver and the second driver drive portion's vehicle to estimate remaining mileage number respectively can be 60 public
In and 50 kilometers, that is, the remaining mileage number estimated of the present invention can have personalized difference to deposit according to the difference of driver
, hence it is evident that it is different from prior art.
Further, since individualized remaining mileage dynamic correcting method proposed by the present invention can dynamically real-time update every be driven
The individualized driving historical data for the person of sailing, therefore, even if the vehicle that driver is driven has different since vehicle age is different
Energy consumption state, individualized remaining mileage dynamic correcting method of the invention are estimated according to updated individualized driving historical data
The individualized remaining mileage calculated still has quite high accuracy.
Compared to prior art, individualized remaining mileage dynamic correcting method according to the present invention starts in every driver
Status identification is first carried out when driving vehicle, to estimate personalized consumption according to the driving behavior of different drivers and custom respectively
Energy mean value estimates personalized remaining mileage further according to the real-time remaining quantity of energy of vehicle with personalized energy consumption mean value, and
And driving data of every driver when driving vehicle every time can be dynamically updated at any time to the individualized row of every driver
In vehicle historical data.Therefore, even if having, different drivers drives same portion's vehicle and the remaining quantity of energy of the vehicle is the same, no
Same driver can respectively obtain personalized remaining mileage number.
In addition, even if oil consumption (electricity) state of vehicle can be varied from vehicle age size, since the present invention can at any time
The individualized driving historical data for dynamically updating every driver makes it analyze the accurate of the individualized remaining mileage number come
Property be less susceptible to be influenced by the vehicle age variation of transport facility, therefore still great reference value.
The present invention is described by above-mentioned related embodiment, however above-described embodiment is only the example for implementing the present invention.
It must be noted that the embodiment disclosed is not limiting as the scope of the present invention.On the contrary, do not depart from the present invention spirit and
It is changed and retouched made by range, belongs to the scope of patent protection of the present invention.
Claims (10)
1. a kind of individualized remaining mileage dynamic correcting method, which is characterized in that comprise the steps of：
(a) when the first driver drives the first vehicle, judge the first identity information corresponding to first driver；
(b) the first driving behavior to match with first identity information is read from database according to first identity information to go through
History data, wherein the first driving behavior historical data include the first passing energy consumption mean value corresponding to first driver；
(c) according to the first of first vehicle in real time remaining quantity of energy and the first passing energy consumption mean value estimate first estimate it is surplus
Remaining mileage number；And
(d) when first driver drives first vehicle in first period, dynamically recording first driver driving should
First driving data of the first vehicle, and the first driving behavior historical data in the database is dynamically updated according to this.
2. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that step (a) also includes：
(a1) start in the first period it is default during record first driver and drive the first of first vehicle and drive
Behavior pattern；And
(a2) first identity information is selected from the database according to the first driving behavior pattern.
3. individualized remaining mileage dynamic correcting method as claimed in claim 2, which is characterized in that first driver's should
The action of stepping on the gas that is carried out according to first driver to first driving behavior mode selective, brake action, turning action,
Accelerated motion, stopping working acts and obtains.
4. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that correspond to first driving
The first passing energy consumption mean value of person is the mean consumption quantity of energy that first driver often drives a unit distance in the past.
5. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that step (c) by this first
In real time residue quantity of energy divided by the first passing energy consumption mean value and obtain this and first estimate remaining mileage number.
6. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that further include：
When first driver drives first vehicle again, judge that first identity corresponding to first driver is believed
Breath；
Read from the database according to first identity information with first identity information match it is updated this first
Driving behavior historical data, wherein the updated first driving behavior historical data includes to correspond to first driver more
The first passing energy consumption mean value after new；
According to the second of first vehicle, remaining quantity of energy and the updated first passing energy consumption mean value estimate second in real time
Estimate remaining mileage number；And
When first driver drives first vehicle in the second phase, dynamically record first driver drive this first
Second driving data of vehicle, and dynamically the updated first driving behavior historical data is updated again according to this,
Wherein the second phase is later than the first period.
7. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that further include the following steps：
(e) when the second driver drives first vehicle, judge the second identity information corresponding to second driver, wherein
Second driver is different from first driver；
(f) the second driving behavior to match with second identity information is read from the database according to second identity information
Historical data, wherein the second driving behavior historical data include the second passing energy consumption mean value corresponding to second driver；
(g) according to the second of first vehicle in real time remaining quantity of energy and the second passing energy consumption mean value estimate third estimate it is surplus
Remaining mileage number；And
(h) when second driver drives first vehicle in the second phase, dynamically recording second driver driving should
The third driving data of first vehicle, and the second driving behavior historical data in the database is dynamically updated according to this.
8. individualized remaining mileage dynamic correcting method as claimed in claim 7, which is characterized in that step (e) also includes：
(e1) start in the second phase it is default during record second driver and drive the second of first vehicle and drive
Behavior pattern；And
(e2) second identity information is selected from the database according to the second driving behavior pattern.
9. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that step (g) by this second
In real time residue quantity of energy divided by the second passing energy consumption mean value and obtain the third and estimate remaining mileage number.
10. individualized remaining mileage dynamic correcting method as described in claim 1, which is characterized in that this is further included：
When first driver drives the second vehicle, first identity information corresponding to first driver is judged, wherein
Second vehicle is different from first vehicle；
Read from the database according to first identity information with first identity information match it is updated this first
Driving behavior historical data, wherein the updated first driving behavior historical data includes to correspond to first driver more
The first passing energy consumption mean value after new；
According to the third of second vehicle, remaining quantity of energy estimates the 4th with the updated first passing energy consumption mean value in real time
Estimate remaining mileage number；And
When first driver drives second vehicle in the second phase, dynamically record first driver drive this second
4th driving data of vehicle, and dynamically the updated first driving behavior historical data is updated again according to this,
Wherein the second phase is later than the first period.
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