CN104062588B - Apparatus and method for estimating the dump energy of electric automobile - Google Patents
Apparatus and method for estimating the dump energy of electric automobile Download PDFInfo
- Publication number
- CN104062588B CN104062588B CN201310086107.8A CN201310086107A CN104062588B CN 104062588 B CN104062588 B CN 104062588B CN 201310086107 A CN201310086107 A CN 201310086107A CN 104062588 B CN104062588 B CN 104062588B
- Authority
- CN
- China
- Prior art keywords
- electric automobile
- dump energy
- time slice
- quantity consumption
- section
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
There is provided a kind of equipment for estimating the dump energy of electric automobile, including:Travel route computing unit, is configured as being calculated based on initial parameter the travel route of electric automobile;Operational mode determining unit, is configured as determining operator scheme of the electric automobile in each time slice based on the travel route;Travel route division unit, is configured as the speed of length and electric automobile based on time slice in each time slice, and the travel route is divided into corresponding multiple section;Electric quantity consumption computing unit, be configured as each section, and the speed and acceleration and initial residual electricity based on electric automobile in the section calculate electric quantity consumption of the electric automobile on the section;And dump energy computing unit, it is configured as being based on the dump energy of the destination county that the electric quantity consumption calculates each section successively.The present invention can more accurately estimate dump energy of the electric automobile at each time slice in future travel route.
Description
Technical field
The application is related to electric automobile field, and in particular to a kind of equipment for estimating the dump energy of electric automobile and
Method.
Background technology
As the environmental pollution that fuel vehicle is caused is increasingly serious, electric motor car with its no pollution, low noise, high energy efficiency ratio, easily
The features such as safeguarding is of increased attention.But, due to limited battery capacity, the path planning of electric motor car, traveling model
The application such as estimation is enclosed all to be limited by dump energy.During the traveling of electric motor car, driver wishes to understand at any time surplus
The situation of remaining electricity.In addition, before trip, driver also is intended to will appreciate that the change of the dump energy in following stroke
Situation, goes on a journey so as to schedule ahead and plans.
Dump energy percentage (SOC) is one of most important parameter of battery management system, if it is desired to rationally using electricity
Pond, extension battery and raising utilization rate of electrical, it is necessary to by SOC controls in a rational scope.Therefore,
Estimation in the process of moving to electric motor car SOC and be important to the prediction of the SOC of electric motor car in following stroke.
Bibliography 1 (CN102162836A, entitled " a kind of SOC estimation method of automobile batteries ") proposes a kind of vapour
The evaluation method of the SOC of car battery.The method first determines whether that battery shelves the length of time, if shelving the time more than setting time
T0, then SOC is obtained using open circuit voltage method;If shelving the time less than setting time T0, then when above primary cell is stopped using
Whether then SOC judge battery in dynamic as SOC now.If battery is not in dynamic, last time is returned
SOC;If battery is in dynamic, SOC is estimated using ampere-hour (Ah) integration method.Finally, the SOC for estimating is corrected.
Specifically, Fig. 1 shows the flow of the method.
As shown in figure 1, the method 10 proposed in bibliography 1 starts at step S110.Afterwards, in step S120, from
Related data, output current, voltage, previous SOC of such as battery, etc. are obtained in battery management system.
In step S130, the time is shelved according to battery, it is determined which kind of method to calculate SOC using.Specifically, if shelved
Time is less than setting time T0, and battery status is static state, then SOC when above primary cell is stopped using is used as now
SOC.If shelving the time less than setting time T0, and battery status is dynamic, then estimate SOC from current integration method.Such as
Fruit shelves the time more than setting time T0, then SOC is estimated from open circuit voltage method.
In step S140, based on the method for selection at step S130, SOC can be calculated.Wherein, current integration method is based on
The transient current data for measuring, electric current during by accumulation charge or discharge estimates SOC.Open circuit voltage method is usually used in when electricity
After pond is placed for a long time, SOC is estimated using the relation of terminal voltage and SOC.
In step S150, it is contemplated that the various factors of influence SOC is corrected to the SOC value for estimating, such as include:
(1) current correction, the electric current produced based on different coulombic efficiencies is corrected to SOC;(2) temperature correction, according to temperature
Difference is corrected using temperature coefficient to SOC;And (3) compensation of ageing, compensation of ageing is carried out to SOC.
In step S160, current SOC value is exported.Afterwards, method 10 terminates at step S170.
However, the above method only considered the influence of the electric current of battery, voltage to SOC, actual travel environment is not accounted for
Influence to SOC.Therefore, the method cannot estimate SOC under practical circumstances, may be unexpected by each section in travel route
The SOC of destination county.
The content of the invention
The present invention is in view of driving parameters (such as speed, acceleration in each time slice in actual travel environment
Degree), and establish the relational model between driving parameters and electric quantity consumption.Based on following traffic behavior, each can be predicted
Electric quantity consumption in time slice.It is then possible to be based on electric quantity consumption and initial SOC to estimate the SOC of each time slice.
According to the first aspect of the invention, there is provided a kind of equipment for estimating the dump energy of electric automobile, including:
Travel route computing unit, is configured as being calculated based on initial parameter the travel route of electric automobile;Operator scheme determines single
Unit, is configured as determining operator scheme of the electric automobile in each time slice based on the travel route;Travel route
Division unit, is configured as the speed of length and electric automobile based on time slice in each time slice, by the row
Sail route and be divided into corresponding multiple section;Electric quantity consumption computing unit, is configured as each section, based on electronic vapour
Speed and acceleration of the car in the section and initial residual electricity calculate electric quantity consumption of the electric automobile on the section;
And dump energy computing unit, it is configured as being based on the residue electricity of the destination county that the electric quantity consumption calculates each section successively
Amount.
Preferably, initial parameter includes starting point, terminal, departure time and user preference.
Preferably, operational mode determining unit is additionally configured to:Electricity is calculated based on the travel route and departure time
Speed and acceleration of the electrical automobile in each time slice, and electronic vapour is determined based on the speed and acceleration that are calculated
Operator scheme of the car in each time slice, the operator scheme includes accelerating, slows down, at the uniform velocity and idling.
Preferably, electric quantity consumption computing unit is additionally configured to:Electricity is calculated using multinomial statistical regression model to disappear
Consumption.
Preferably, the equipment also includes:Dump energy corrects unit, is configured as calculating dump energy computing unit
The dump energy for obtaining is corrected, and the correction includes at least one in current correction, temperature correction and compensation of ageing.
Preferably, the equipment also includes dump energy comparing unit, and the dump energy comparing unit is configured as:Will
The dump energy of the destination county of current road segment is compared with dump energy threshold value;If the dump energy is less than dump energy threshold
Value, it indicates that electric quantity consumption computing unit stops calculating the electric quantity consumption in next section.
According to the second aspect of the invention, there is provided a kind of method for estimating the dump energy of electric automobile, including:
The travel route of electric automobile is calculated based on initial parameter;Determine electric automobile in each time based on the travel route
Operator scheme in fragment;The speed of length and electric automobile based on time slice in each time slice, by the row
Sail route and be divided into corresponding multiple section;For each section, the speed in the section and acceleration based on electric automobile
Degree and initial residual electricity calculate electric quantity consumption of the electric automobile on the section;And based on the electric quantity consumption successively
Calculate the dump energy of the destination county in each section.
Preferably, initial parameter includes starting point, terminal, departure time and user preference.
The travel route and departure time is preferably based on to calculate speed of the electric automobile in each time slice
And acceleration, and operation mould of the electric automobile in each time slice is determined based on the speed and acceleration that are calculated
Formula, the operator scheme includes accelerating, slows down, at the uniform velocity and idling.
Preferably, electric quantity consumption is calculated using multinomial statistical regression model.
Preferably, methods described also includes:Dump energy to being calculated is corrected, and the correction includes electric current school
Just, at least one in temperature correction and compensation of ageing.
Preferably, methods described also includes:By the dump energy of the destination county of current road segment compared with dump energy threshold value
Compared with;If the dump energy is less than dump energy threshold value, stop calculating the electric quantity consumption in next section.
The present invention sets up the relational model between driving parameters and electric quantity consumption by considering actual travel environment, can be with
More accurately estimate and predict dump energy of the electric automobile at each time slice in future travel route.
Brief description of the drawings
By the detailed description below in conjunction with accompanying drawing, above and other feature of the invention will become more apparent, its
In:
Fig. 1 shows a kind of flow chart of the remaining capacity SOC evaluation method of the automobile batteries according to prior art.
Fig. 2 is showed according to a block diagram for the remaining capacity estimation equipment of example embodiment of the invention.
Fig. 3 shows the block diagram of the remaining capacity estimation equipment according to another example embodiment of the invention.
Fig. 4 shows the block diagram of the remaining capacity estimation equipment according to another example embodiment of the invention.
Fig. 5 is showed according to a flow chart for the method for estimating remaining capacity of example embodiment of the invention.
Specific embodiment
Below, by the description with reference to accompanying drawing to specific embodiment of the invention, principle of the invention and realization will become
Obtain substantially.It should be noted that the present invention should not be limited to specific embodiments described below.In addition, for simplicity province
The detailed description of known technology unrelated to the invention is omited.
Fig. 2 is showed according to a block diagram for the remaining capacity estimation equipment 20 of example embodiment of the invention.Such as Fig. 2 institutes
Show, remaining capacity estimation equipment 20 includes that travel route computing unit 210, operational mode determining unit 220, travel route are divided
Unit 230, electric quantity consumption computing unit 240 and dump energy computing unit 250.Below, remaining capacity estimation is described in detail to set
The operation of the unit in standby 20.
Travel route computing unit 210 can calculate the travel route of electric automobile based on initial parameter 201.At one
In example, initial parameter 201 can include starting point, terminal, departure time and user preference.Correspondingly, travel route calculates single
Unit 210 can obtain starting point, terminal, departure time and user preference, and using conventional path planning algorithm (for example
Dijkstra or A* algorithms, but not limited to this) calculate the travel route of electric motor car.
The travel route that operational mode determining unit 220 can be calculated based on travel route computing unit 210 is come really
Determine operator scheme of the electric automobile in each time slice.In one example, operational mode determining unit 220 is based on traveling
Route and departure time calculate speed v and acceleration a of the electric automobile in each time slice, and based on being calculated
Speed and acceleration determine operator scheme of the electric automobile in each time slice.Operator scheme can include accelerating, subtract
Speed, at the uniform velocity and idling.Specifically, the determination methods of operator scheme can be:If v=0 and a=0, operator scheme are idling;
If v > 0 and a > 0, operator scheme is acceleration;If v > 0 and a < 0, operator scheme is deceleration;If v > 0 and a=0, behaviour
Operation mode is at the uniform velocity.
Be divided into for the travel route by the length that travel route division unit 230 can be based on each time slice 202
Multiple sections.In one example, travel route division unit 230 can be based on the length and electric automobile of time slice every
Speed in individual time slice, corresponding multiple section is divided into by travel route.It should be noted that last for marking off
Section, running time of the electric motor car on the section may be less than a time slice.If it is, the section can be used in
On running time instead of the length of time slice subsequently to be calculated.
In this application, time slice can be one second, one minute or other length.The length of each time slice can
With identical, it is also possible to different.It should be noted that the length of time slice is shorter, then the precision for finally calculating is higher.
If however, the length of time slice is shorter, larger amount of calculation may be caused.In the application, can be existed according to actual conditions
Made between computational accuracy and calculated load compromise.
The operator scheme that electric quantity consumption computing unit 240 can be based in each time slice is calculated in respective stretch successively
Electric quantity consumption.In one example, electric quantity consumption computing unit 240 is directed to each section, based on electric automobile on the road
Speed and acceleration and initial residual electricity in section calculate electric quantity consumption of the electric automobile on the section.
Preferably, electric quantity consumption computing unit 240 calculates electric quantity consumption using following multinomial statistical regression model:
Wherein, q represents the electric quantity consumption rate on the section, LI, j eAnd LkIt is parameter, L0It is constant, v represents electric automobile
Speed in the time slice, SOC represents initial residual electricity, and a represents acceleration of the electric automobile in the time slice.
According to above example, electric quantity consumption computing unit 240 can be electric based on determined by operational mode determining unit 220
The operator scheme of electrical automobile, electric quantity consumption is calculated according to equation below:
Parameter and constant in above-mentioned electric quantity consumption computing formula can be according to electric automobiles under different operation modes
Running data and determine.For example, for accelerating, slowing down and at the uniform velocity pattern, the historical data of electric automobile during traveling can be based on, will
Historical data is divided according to time slice (such as 1 second), and speed, acceleration, SOC and the energy for obtaining each time slice disappear
Consumption value.Then, in these history values being substituted into above-mentioned formula, using the method for statistical regression can calculate parameter in formula and
Constant.Especially, for idling mode, the energy consumption data in electric automobile historical data under idling mode is taken out
Come, calculate average energy consumption value, the constant in the electric quantity consumption rate computing formula of idling mode can be obtained (i.e. in above-mentioned formula
's)。
Dump energy computing unit 250 can be based on the electric quantity consumption that electric quantity consumption computing unit 240 is calculated, successively
Calculate the dump energy of the destination county in each section.For example, calculating the electricity in each section in electric quantity consumption computing unit 240
After consumption, dump energy computing unit 250 can calculate the dump energy of the destination county in each section according to below equation:
Wherein, QrRepresent the battery capacity of electric automobile;Qk-1Represent destination county of the electric automobile in (k-1) individual section
Dump energy;QKRepresent dump energy of the electric automobile in the destination county in k-th section;qkThe electricity for representing k-th section disappears
Consumption rate;TlenRepresent the length (for last section, refer to the length of the time travelled on the section) of time slice.
In the following description, the practical application of remaining capacity estimation equipment 20 is described with reference to a specific example.
Assuming that the current electricity of electric automobile is 72Ah, SOC is 100%.The electric automobile will drive through a length
139 meters of road, will estimate the change of vehicle SOC in the process of moving below.
Operational mode determining unit 220 can predict electric automobile speed per second and acceleration using traffic simulation instrument
Degree, as shown in table 1 (assuming that the length of time slice is 1 second).
Table 1
As it can be seen from table 1 electric automobile is by the road of 139 meters of this section that finished in 30 seconds experts.Based on speed per second
And acceleration, operational mode determining unit 220 can determine electric automobile in operator scheme per second, as shown in table 2 below.
Table 2
Time slice is numbered | Operator scheme |
1-5 | 4 |
6-15 | 1 |
16-20 | 3 |
21-22 | 2 |
23-30 | 3 |
In table 2, operator scheme represents acceleration pattern for 1, and 2 represent deceleration mode, and 3 represent at the uniform velocity pattern, and 4 represent idling
Pattern.For example, from Table 2, it can be seen that the operator scheme of time slice 1-5 is idling mode.
Table 3
Travel route division unit 230 can be based on the historical data (as shown in table 3) of electric automobile during traveling, by history row
Temporally fragment (such as 1 second) is divided to sail data, can obtain data set (including speed, acceleration, SOC, the energy of each second
Consumption etc.).Carry out statistical regression by substantial amounts of historical data, can obtain under various operator schemes, energy expenditure rate with
The corresponding relation of speed, acceleration, SOC etc..
Acceleration pattern:
Deceleration mode:
At the uniform velocity pattern:
qcr=exp (1.540+0.025v-0.056SOC)
Idling mode:
qid=3.62C/s
According to above-mentioned formula, electric quantity consumption computing unit 240 can be based on electric automobile speed, acceleration, operator scheme
And energy expenditure rate, electric automobile energy expenditure rate per second is calculated, it is as shown in table 4 below.
Table 4
Time slice is numbered | Electric quantity consumption rate (C/s) |
1 | 3.62 |
2 | 3.62 |
3 | 3.62 |
4 | 3.62 |
5 | 3.62 |
6 | 2.221094 |
7 | 1.531031 |
8 | 2.361413 |
9 | 385.4842 |
10 | 1496.705 |
11 | 238.5154 |
12 | 388.7749 |
13 | 648.1745 |
14 | 1120.006 |
15 | 2032.383 |
16 | 8.460164 |
17 | 8.460179 |
18 | 8.460195 |
19 | 8.46021 |
20 | 8.460225 |
21 | 136.5927 |
22 | 130.6635 |
23 | 8.048095 |
24 | 8.048109 |
25 | 8.048123 |
26 | 8.048137 |
27 | 8.048151 |
28 | 8.048165 |
29 | 8.048179 |
30 | 8.048193 |
Initial quantity of electricity and energy ezpenditure per second based on electric automobile, dump energy computing unit 250 can be calculated
Electric automobile is as shown in table 5 below in SOC per second.
Table 5
Time slice is numbered | SOC estimates (%) |
1 | 100.0000 |
2 | 99.9986 |
3 | 99.9972 |
4 | 99.9958 |
5 | 99.9944 |
6 | 99.9930 |
7 | 99.9922 |
8 | 99.9916 |
9 | 99.9907 |
10 | 99.8419 |
11 | 99.2645 |
12 | 99.1725 |
13 | 99.0225 |
14 | 98.7724 |
15 | 98.3403 |
16 | 97.5562 |
17 | 97.5530 |
18 | 97.5497 |
19 | 97.5464 |
20 | 97.5432 |
21 | 97.5399 |
22 | 97.4872 |
23 | 97.4368 |
24 | 97.4337 |
25 | 97.4306 |
26 | 97.4275 |
27 | 97.4244 |
28 | 97.4213 |
29 | 97.4182 |
30 | 97.4151 |
Remaining capacity estimation equipment 20 according to this example embodiment, can be more accurate by considering actual travel environment
Estimate and predict dump energy of the electric automobile at each time slice in future travel route in ground.
Fig. 3 shows the block diagram of the remaining capacity estimation equipment 30 according to another example embodiment of the invention.Such as Fig. 3
Shown, remaining capacity estimation equipment 30 includes that travel route computing unit 310, operational mode determining unit 320, travel route are drawn
Subdivision 330, electric quantity consumption computing unit 340, dump energy computing unit 350 and dump energy correction unit 360.Due to figure
Travel route computing unit 310, operational mode determining unit 320, travel route division unit 330, electric quantity consumption in 3 are calculated
Travel route computing unit 210, operational mode determining unit 220 in unit 340, dump energy computing unit 350 and Fig. 2,
Travel route division unit 230, electric quantity consumption computing unit 240 and dump energy computing unit 250 distinguish identical, hereafter in order to
For purpose of brevity, only dump energy correction unit 360 is described in detail.
In the present embodiment, it is contemplated that the various factors of influence dump energy, dump energy correction unit 360 can be to surplus
The dump energy that remaining electricity computing unit 350 is calculated is corrected.Specifically, dump energy correction unit 360 can be held
Row it is following at least one:
■ current corrections:The electric current produced based on different coulombic efficiencies is corrected to SOC.
■ temperature corrections:Different according to temperature are corrected using temperature system to SOC.
■ compensation of ageings:Compensation of ageing is carried out to SOC using following equation:
SOCage=(SOC-AF)/(1-AF) AF=(Ahref-Ahcyc)/Ahref
Wherein, SOCageRefer to by the SOC value after compensation of ageing;AFIt refer to aging factor;AhrefRefer to that reference battery holds
Amount, AhcycRefer to the battery capacity of a certain aging point, it is by the terminal voltage of battery during cell degradation and the pass of battery capacity
It is that curve is determined.
Remaining capacity estimation equipment 30 according to this example embodiment is by the various factors in view of influence dump energy
And dump energy is corrected, can more accurately estimate and predict electric automobile each time in future travel route
Dump energy at fragment.
Fig. 4 shows the block diagram of the remaining capacity estimation equipment 40 according to another example embodiment of the invention.Such as Fig. 4
Shown, remaining capacity estimation equipment 40 includes that travel route computing unit 410, operational mode determining unit 420, travel route are drawn
Subdivision 430, electric quantity consumption computing unit 440, dump energy computing unit 450 and dump energy comparing unit 460.Due to figure
Travel route computing unit 410, operational mode determining unit 420, travel route division unit 430, electric quantity consumption in 4 are calculated
Travel route computing unit 210, operational mode determining unit 220 in unit 440, dump energy computing unit 450 and Fig. 2,
Travel route division unit 230, electric quantity consumption computing unit 240 and dump energy computing unit 250 distinguish identical, hereafter in order to
For purpose of brevity, only dump energy comparing unit 460 is described in detail.
In the present embodiment, the current road that be calculated for dump energy computing unit 450 by dump energy comparing unit 460
The dump energy of the destination county of section is compared with dump energy threshold value.If the dump energy is less than dump energy threshold value, remain
Remaining comparision of quantity of electricity unit 460 indicates electric quantity consumption computing unit 440 to stop calculating the electric quantity consumption in next section.For example, this is surplus
Remaining power threshold can be 20%.So, if dump energy comparing unit 460 finds the residue electricity of the destination county of current road segment
Amount is less than 20%, it indicates that electric quantity consumption computing unit 440 stops calculating the electric quantity consumption in next section.
Remaining capacity estimation equipment 40 according to this example embodiment, can be in residue by monitoring dump energy in real time
Electricity sends instruction when being less than threshold value such that it is able to rationally utilizes battery and extends battery.
Although it should be noted that Fig. 2 and Fig. 3 respectively illustrate dump energy correction unit 360 and dump energy compares
Unit 460, but dump energy correction unit 360 and dump energy comparing unit 460 can also simultaneously be present in dump energy
In estimation equipment (such as the remaining capacity estimation equipment 20 shown in Fig. 2), and operate in an identical manner.
Fig. 5 is showed according to a flow chart for the method for estimating remaining capacity of example embodiment 50 of the invention.Such as Fig. 5
Shown, method 50 starts at step S510.
In step S520, the travel route of electric automobile is calculated based on initial parameter.For example, initial parameter can include
Starting point, terminal, departure time and user preference.
In step S530, operator scheme of the electric automobile in each time slice is determined based on the travel route.
Preferably, speed and acceleration of the electric automobile in each time slice can be calculated based on travel route and departure time
Degree, and operator scheme of the electric automobile in each time slice is determined based on the speed and acceleration that are calculated.Operation
Pattern can include accelerating, slow down, at the uniform velocity and idling.
In step S540, travel route is divided into multiple sections by the length based on each time slice.Preferably, can be with
The speed of length and electric automobile based on time slice in each time slice, corresponding multiple is divided into by travel route
Section.
In step S550, the electric quantity consumption in respective stretch is calculated successively based on the operator scheme in each time slice.
In one example, for each section, speed and acceleration and initial residual based on electric automobile in the section
Electricity calculates electric quantity consumption of the electric automobile on the section., electric quantity consumption is calculated using multinomial statistical regression model.
Preferably, electric quantity consumption is calculated using multinomial statistical regression model.
In step S560, the dump energy of the destination county in each section is calculated successively based on electric quantity consumption.
Although it should be noted that not shown in Fig. 5, method 50 can also be included to being calculated at step S560
The step of dump energy is corrected.The correction for example can include current correction, temperature correction and compensation of ageing at least
One.Additionally, method 50 can also be comprised the following steps:By the dump energy of the destination county of current road segment and dump energy threshold value
Compare;If the dump energy is less than dump energy threshold value, stop calculating the electric quantity consumption in next section.
Finally, method 50 terminates at step S570.
It should be understood that the above embodiment of the present invention can be by the combination of both software, hardware or software and hardware
To realize.For example, the various assemblies in remaining capacity estimation equipment in above-described embodiment can be realized by various devices,
These devices are included but is not limited to:Analog circuit, digital circuit, general processor, Digital Signal Processing (DSP) circuit, can compile
Thread processor, application specific integrated circuit (ASIC), field programmable gate array (FPGA), PLD (CPLD), etc..
In addition, it will be understood to those skilled in the art that the initial parameter described in the embodiment of the present invention can be stored
In local data base, it is also possible to which storage is in distributed data base or can store in remote data base.
Additionally, embodiments of the invention disclosed herein can be realized on computer program product.More specifically, should
Computer program product is a kind of following product:With computer-readable medium, coding has calculating on computer-readable medium
Machine program logic, when performing on the computing device, it is of the invention to realize that the computer program logic provides related operation
Above-mentioned technical proposal.When being performed at least one processor of computing system, computer program logic causes that processor is held
Operation (method) described in the row embodiment of the present invention.This set of the invention is typically provided as setting or encoding in such as light
Software, code and/or other data structures on the computer-readable medium of medium (such as CD-ROM), floppy disk or hard disk etc.,
Or firmware or other media of microcode or one or more moulds on such as one or more ROM or RAM or PROM chips
Downloadable software image, shared data bank in block etc..Software or firmware or this configuration can install on the computing device, with
So that the one or more processors in computing device perform the technical scheme described by the embodiment of the present invention.
Although below combined the preferred embodiments of the present invention show the present invention, those skilled in the art will
It will be appreciated that without departing from the spirit and scope of the present invention, various modifications being carried out to the present invention, being replaced and is changed
Become.Therefore, the present invention should not be limited by above-described embodiment, and should be limited by appended claims and its equivalent.
Claims (10)
1. a kind of equipment for estimating the dump energy of electric automobile, including:
Travel route computing unit, is configured as being calculated based on initial parameter the travel route of electric automobile;
Operational mode determining unit, is configured as determining electric automobile in each time slice based on the travel route
Operator scheme;
Travel route division unit, is configured as the speed of length and electric automobile based on time slice in each time slice
Degree, corresponding multiple section is divided into by the travel route;
Electric quantity consumption computing unit, is configured as being calculated in respective stretch successively based on the operator scheme in each time slice
Electric quantity consumption, is specifically configured to for each section, speed and acceleration based on electric automobile in the section and
Initial residual electricity calculates electric quantity consumption of the electric automobile on the section;It is additionally configured to be counted back using following multinomial
Return model to calculate electric quantity consumption:
Wherein, q represents the electric quantity consumption rate on the section, LI, j eAnd LkIt is parameter, L0It is constant, v represents electric automobile at this
Speed in time slice, SOC represents initial residual electricity, and a represents acceleration of the electric automobile in the time slice, specifically
The operator scheme of ground electric automobile based on determined by operational mode determining unit, electric quantity consumption is calculated according to below equation:
And
Dump energy computing unit, is configured as being based on the residue electricity of the destination county that the electric quantity consumption calculates each section successively
Amount.
2. equipment according to claim 1, wherein, the initial parameter includes that starting point, terminal, departure time and user are inclined
It is good.
3. equipment according to claim 1, wherein, the operational mode determining unit is additionally configured to:Based on the row
Route and departure time is sailed calculate speed and acceleration of the electric automobile in each time slice, and based on being calculated
Speed and acceleration determine operator scheme of the electric automobile in each time slice, and the operator scheme includes accelerating, subtracts
Speed, at the uniform velocity and idling.
4. equipment according to claim 1, also includes:
Dump energy corrects unit, is configured as being corrected the dump energy that dump energy computing unit is calculated, its
In, the correction includes at least one in current correction, temperature correction and compensation of ageing.
5. equipment according to claim 1, also including dump energy comparing unit, the dump energy comparing unit is matched somebody with somebody
It is set to:The dump energy of the destination county of current road segment is compared with dump energy threshold value;If the dump energy is less than residue
Power threshold, it indicates that electric quantity consumption computing unit stops calculating the electric quantity consumption in next section.
6. a kind of method for estimating the dump energy of electric automobile, including:
The travel route of electric automobile is calculated based on initial parameter;
Operator scheme of the electric automobile in each time slice is determined based on the travel route;
The speed of length and electric automobile based on time slice in each time slice, phase is divided into by the travel route
The multiple sections answered;
The electric quantity consumption in respective stretch is calculated successively based on the operator scheme in each time slice, specifically, for each
Individual section, speed and acceleration and initial residual electricity based on electric automobile in the section calculate electric automobile at this
Electric quantity consumption on section;And electric quantity consumption is calculated using following multinomial statistical regression model:
Wherein, q represents the electric quantity consumption rate on the section, LI, j eAnd LkIt is parameter, L0It is constant, v represents electric automobile at this
Speed in time slice, SOC represents initial residual electricity, and a represents acceleration of the electric automobile in the time slice, specifically
The operator scheme of ground electric automobile based on determined by operational mode determining unit, electric quantity consumption is calculated according to below equation:
And
Calculate the dump energy of the destination county in each section successively based on the electric quantity consumption.
7. method according to claim 6, wherein, the initial parameter includes that starting point, terminal, departure time and user are inclined
It is good.
8. method according to claim 6, wherein, electric automobile is calculated based on the travel route and departure time and is existed
Speed and acceleration in each time slice, and electric automobile is determined at each based on the speed and acceleration that are calculated
Operator scheme in time slice, the operator scheme includes accelerating, slows down, at the uniform velocity and idling.
9. method according to claim 6, also includes:
Dump energy to being calculated is corrected, wherein, the correction includes current correction, temperature correction and compensation of ageing
In at least one.
10. method according to claim 6, also includes:By the dump energy and dump energy of the destination county of current road segment
Threshold value compares;If the dump energy is less than dump energy threshold value, stop calculating the electric quantity consumption in next section.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310086107.8A CN104062588B (en) | 2013-03-18 | 2013-03-18 | Apparatus and method for estimating the dump energy of electric automobile |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310086107.8A CN104062588B (en) | 2013-03-18 | 2013-03-18 | Apparatus and method for estimating the dump energy of electric automobile |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104062588A CN104062588A (en) | 2014-09-24 |
CN104062588B true CN104062588B (en) | 2017-06-23 |
Family
ID=51550391
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310086107.8A Expired - Fee Related CN104062588B (en) | 2013-03-18 | 2013-03-18 | Apparatus and method for estimating the dump energy of electric automobile |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104062588B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020121074A1 (en) * | 2018-09-26 | 2020-06-18 | Tq-Systems Gmbh | Method and device for dynamically controlling a range of an electrically-assisted bicycle, electrically-assisted bicycle |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109031133B (en) * | 2018-06-06 | 2020-03-24 | 安徽江淮汽车集团股份有限公司 | SOC correction method of power battery |
CN110675619B (en) * | 2018-07-02 | 2021-06-15 | 上海汽车集团股份有限公司 | Vehicle travel energy consumption prediction method and device |
CN108985966B (en) * | 2018-07-13 | 2021-03-02 | 北京车和家信息技术有限公司 | Electric quantity consumption calculation method and device, vehicle and computer readable storage medium |
CN111038335B (en) * | 2018-10-11 | 2022-04-08 | 北京骑胜科技有限公司 | Battery charging management method, battery charging management device and computer equipment |
CN109606286A (en) * | 2018-12-10 | 2019-04-12 | 英华达(上海)科技有限公司 | Vehicle oil consumption prediction technique, automobile navigation method and electronic equipment |
CN109782177B (en) * | 2018-12-29 | 2021-04-20 | 北京新能源汽车股份有限公司 | Method and device for acquiring electric quantity of battery and automobile |
CN111625013B (en) * | 2019-02-27 | 2023-04-25 | 杭州海康机器人技术有限公司 | Unmanned aerial vehicle flight task execution energy prediction method and device |
CN110333451B (en) * | 2019-06-25 | 2020-10-02 | 南京理工大学 | Lithium ion battery charge state and open circuit voltage model building method |
CN111402582B (en) * | 2020-03-12 | 2021-05-25 | 东南大学 | Control method for electric automobile to borrow lane special for automatic driving in intelligent network connection environment |
CN112180723B (en) * | 2020-09-15 | 2022-02-01 | 东北大学 | Unmanned aerial vehicle task planning method and device based on energy analysis |
CN113232673A (en) * | 2021-03-18 | 2021-08-10 | 联合汽车电子有限公司 | Vehicle travel mileage area estimation method |
CN113495218B (en) * | 2021-08-02 | 2022-09-13 | 广东润元能源科技有限公司 | Method and device for monitoring effective consumption of electric quantity of new energy battery and computer storage medium |
CN115425701A (en) * | 2022-08-04 | 2022-12-02 | 深圳朗特智能控制股份有限公司 | Electric quantity use condition prompting method and system and portable personal care equipment |
CN116811664B (en) * | 2023-08-30 | 2023-11-07 | 新誉集团有限公司 | Running control method and device for electric mine car |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102303538A (en) * | 2011-05-26 | 2012-01-04 | 奇瑞汽车股份有限公司 | Method and device for displaying residual driving range of electromobile |
CN102837697A (en) * | 2011-06-24 | 2012-12-26 | 北汽福田汽车股份有限公司 | Management system and working method for endurance mileage of electric vehicle |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101003181B1 (en) * | 2010-02-01 | 2010-12-22 | (주)웨이브다임 | Power monitoring system for electro-mechanical apparatus and method of monitoring power of the same |
CN102947136B (en) * | 2010-06-18 | 2015-05-06 | 丰田自动车株式会社 | Deterioration degree determination device |
JP5556740B2 (en) * | 2010-10-28 | 2014-07-23 | Smk株式会社 | Information providing apparatus, information providing server, and vehicle support system |
-
2013
- 2013-03-18 CN CN201310086107.8A patent/CN104062588B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102303538A (en) * | 2011-05-26 | 2012-01-04 | 奇瑞汽车股份有限公司 | Method and device for displaying residual driving range of electromobile |
CN102837697A (en) * | 2011-06-24 | 2012-12-26 | 北汽福田汽车股份有限公司 | Management system and working method for endurance mileage of electric vehicle |
Non-Patent Citations (2)
Title |
---|
基于浮动车数据的轻型机动车道路油耗算法研究;涂钊;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20100615(第06期);正文第二章至第三章 * |
重型柴油车实际道路排放与行驶工况的相关性研究;黄成 等;《环境科学学报》;20070228;第27卷(第02期);正文第177至184页 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020121074A1 (en) * | 2018-09-26 | 2020-06-18 | Tq-Systems Gmbh | Method and device for dynamically controlling a range of an electrically-assisted bicycle, electrically-assisted bicycle |
Also Published As
Publication number | Publication date |
---|---|
CN104062588A (en) | 2014-09-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104062588B (en) | Apparatus and method for estimating the dump energy of electric automobile | |
US11150305B2 (en) | Method of estimating residual energy for a battery | |
US11904703B2 (en) | Electric vehicle and method and apparatus for calculating endurance mileage of electric vehicle | |
CN108701872B (en) | Battery management system, battery system, and hybrid vehicle control system | |
CN110549876B (en) | Energy output control method and device and hydrogen fuel hybrid electric vehicle | |
KR102468385B1 (en) | Method of predicting for battery charging time of green vehicle | |
CN104842797B (en) | Electric automobile future average current drain is estimated, remaining continual mileage method of estimation and system | |
CN107933317B (en) | Method, device and equipment for estimating remaining driving range and pure electric vehicle | |
KR101394867B1 (en) | Method for DTE computation of green car | |
JP5009721B2 (en) | Secondary battery charge state estimation device and program | |
JP5765375B2 (en) | Control apparatus and control method | |
US20150260800A1 (en) | Device for estimating parameters of battery, and estimation method | |
CN107458259A (en) | A kind of New-energy electric vehicle remaining mileage evaluation method | |
WO2017104497A1 (en) | Secondary battery control system | |
CN112526378B (en) | Battery inconsistency fault early warning method and device | |
US6947855B2 (en) | Adaptive algorithm to control and characterize super-capacitor performance | |
EP3551494B1 (en) | A method of estimating a charge state for a battery cell | |
US9539904B2 (en) | Energy consumption rate in distance domain | |
CN109466375A (en) | Distance increasing unit control method and equipment, computer readable storage medium, vehicle | |
JP2019090684A (en) | Internal state estimating device | |
US9840160B2 (en) | Method for estimating the energy consumption of a motor vehicle | |
CN117246188A (en) | Estimation method and system for remaining endurance mileage of electric automobile | |
JP2016211924A (en) | Charging rate calculation device for secondary battery and storage battery system | |
JPWO2020085011A1 (en) | Battery control device | |
Navyasri et al. | Smart controller IoT based for electric vehicles |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170623 Termination date: 20180318 |