CN104986043A - Prediction method for driving mileage of electric vehicle - Google Patents
Prediction method for driving mileage of electric vehicle Download PDFInfo
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- CN104986043A CN104986043A CN201510458873.1A CN201510458873A CN104986043A CN 104986043 A CN104986043 A CN 104986043A CN 201510458873 A CN201510458873 A CN 201510458873A CN 104986043 A CN104986043 A CN 104986043A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention discloses a prediction method for driving mileage of an electric vehicle. The method comprises: calculating historical average endurance efficiency of an electric vehicle; calculating instant endurance efficiency of the electric vehicle; determining a current driving cycle interval of the electric vehicle according to the instant endurance efficiency; calculating working condition transition probability of the electric vehicle in a historical driving process; calculating instant expected endurance efficiency of the electric vehicle in a next phase according to the current driving cycle interval and the working condition transition probability; performing linear combination on the instant expected endurance efficiency of the electric vehicle in a next phase and the historical average endurance efficiency of the electric vehicle, and calculating a driving mileage predicted value by using the effective value of a power battery of the electric vehicle. The method can effectively predict driving mileage of electric vehicles.
Description
Technical field
The present invention relates to New-energy electric vehicle technical field, particularly relate to a kind of electronlmobil course continuation mileage Forecasting Methodology.
Background technology
The course continuation mileage of electronlmobil is the important information that electric automobile whole-control system provides to chaufeur, because the course continuation mileage of electronlmobil under electric-only mode is shorter than conventional fuel oil automobile course continuation mileage, and electric automobile power battery charging is chronic, if chaufeur is not estimated more accurately to course continuation mileage, electricity in electric automobile during traveling process may be appeared at exhaust and can not move, cause inconvenience.Therefore, how carrying out prediction to the course continuation mileage of electronlmobil is a problem demanding prompt solution.
Summary of the invention
The invention provides a kind of electronlmobil course continuation mileage Forecasting Methodology, can predict by the course continuation mileage of actv. to electronlmobil.
The invention provides a kind of electronlmobil course continuation mileage Forecasting Methodology, comprising:
Calculate the history of electronlmobil on average to continue a journey efficiency;
Calculate the instantaneous continuation of the journey efficiency of electronlmobil;
Current driving operating mode according to described instantaneous continuation of the journey efficiency determination electronlmobil is interval;
Calculate the operating mode transition probability of described electronlmobil in history driving process;
Interval and the described operating mode transition probability of current driving operating mode according to described electronlmobil calculates the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage;
Described electronlmobil is carried out linear combination, the course continuation mileage predictor under utilizing effective SOC value of the electrokinetic cell of current power automobile to calculate current working in the instantaneous expectation continuation of the journey efficiency of next stage and the history of described electronlmobil efficiency of on average continuing a journey.
Preferably, the history of described calculating electronlmobil efficiency of on average continuing a journey comprises:
Obtain the frequency n of the first preset time period internally-powered deep battery discharge, and the electricity △ SOC that each deep discharge consumes
kthe travelled distance △ L corresponding with each deep discharge
k;
According to formula
calculate the continuation of the journey efficiency E of each deep discharge
k av, wherein, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%;
According to formula
the history calculating the first preset time period internally-powered battery n deep discharge is on average continued a journey efficiency E
av.
Preferably, the instantaneous continuation of the journey efficiency calculating electronlmobil described in comprises:
Obtain the electric current I under electronlmobil steady state ride operating mode and corresponding vehicle velocity V;
According to formula
calculate the instantaneous continuation of the journey efficiency of electronlmobil, wherein, C
0for electrokinetic cell ampere-hour capacity, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%.
Preferably, the described current driving operating mode interval according to described instantaneous continuation of the journey efficiency determination electronlmobil is specially:
According to instantaneous continuation of the journey efficiency, the instantaneous operating mode in electric automobile during traveling process is divided into: between efficient district S1, more efficient district S2, mid-efficiency district S3, comparatively poor efficiency district S4, poor efficiency district S5,5 efficiency area; Wherein, the scope of each interval corresponding instantaneous continuation of the journey efficiency En is: efficient district: E>1.1, more efficient district: 1.0 < E≤1.1, mid-efficiency district: 0.9<E≤1.0, comparatively poor efficiency district: 0.7<E≤0.9, poor efficiency district: E≤0.7.
Preferably, the operating mode transition probability of the described electronlmobil of described calculating in history driving process comprises:
Obtain the operating mode sum m of electronlmobil experience in the second preset time period;
Obtain the transfer number between the inherent different operating mode of described second preset time period
According to formula
calculate the operating mode transition probability of electronlmobil in history driving process.
Preferably, the interval and described operating mode transition probability of the described current driving operating mode according to described electronlmobil calculates electronlmobil and is specially in the instantaneous expectation continuation of the journey efficiency of next stage:
According to formula
calculate the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage, wherein, S
jfor current driving operating mode is interval,
for S
iinterval average continuation of the journey efficiency,
get 1.1,
get 0.7, all the other
get corresponding S
iintermediate point between interval efficiency area is as efficiency of on average continuing a journey.
Preferably, described described electronlmobil is carried out linear combination in the instantaneous expectation continuation of the journey efficiency of next stage and the history of described electronlmobil efficiency of on average continuing a journey, the course continuation mileage predictor utilizing the effective value of the electrokinetic cell of current power automobile to calculate under current working interval is specially:
According to formula
calculate the interval S of current working
junder course continuation mileage predictor L
j; Wherein, A
sOCfor the effective value of electrokinetic cell, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%, a and b is linear constant.
Preferably, described a+b=1.
From such scheme, a kind of electronlmobil course continuation mileage Forecasting Methodology provided by the invention, in the process of prediction, considered the effective value of electric automobile power battery, 100% specified course continuation mileage corresponding to effecting surplus electricity and the history that calculates electronlmobil on average to continue a journey efficiency, instantaneous continuation of the journey efficiency and the electronlmobil instantaneous expectation continuation of the journey efficiency in next stage, make to predict more accurate and effective to electronlmobil course continuation mileage.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The diagram of circuit of Fig. 1 a kind of electronlmobil course continuation mileage Forecasting Methodology disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, disclosed in the embodiment of the present invention, a kind of electronlmobil course continuation mileage Forecasting Methodology comprises:
S101, calculate the history of electronlmobil and on average to continue a journey efficiency;
S102, calculate the instantaneous continuation of the journey efficiency of electronlmobil;
S103, interval according to the current driving operating mode of instantaneous continuation of the journey efficiency determination electronlmobil;
S104, the operating mode transition probability of calculating electronlmobil in history driving process;
The current driving operating mode interval of S105, foundation electronlmobil and operating mode transition probability calculate the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage;
S106, electronlmobil is carried out linear combination, the course continuation mileage predictor under utilizing effective SOC value of the electrokinetic cell of current power automobile to calculate current working in the instantaneous expectation continuation of the journey efficiency of next stage and the history of electronlmobil efficiency of on average continuing a journey.
Concrete, the working process of above-described embodiment is: when electronlmobil in the process of moving, when needing to predict the course continuation mileage of electronlmobil, according to the history travel situations of electronlmobil, the history calculating electronlmobil is on average continued a journey efficiency; Then according to current travel situations, calculate the instantaneous continuation of the journey efficiency of electronlmobil, according to the instantaneous continuation of the journey efficiency value calculated, determine that the current residing driving cycle of electronlmobil is interval; Then calculate in the history driving process of electronlmobil, the transition probability between different operating mode, probability calculation that is interval according to the driving cycle that electronlmobil is current and the transfer of history operating mode goes out the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage; Finally, the electronlmobil calculated is carried out linear combination, the course continuation mileage predictor under simultaneously utilizing effective SOC value of the electrokinetic cell of current power automobile (effective electricity value) finally to calculate current working in the instantaneous expectation continuation of the journey efficiency one-level history of next stage efficiency of on average continuing a journey.
From such scheme, a kind of electronlmobil course continuation mileage Forecasting Methodology provided by the invention, in the forecasting process of course continuation mileage, considered the effective value of electric automobile power battery, 100% specified course continuation mileage corresponding to effecting surplus electricity and the history that calculates electronlmobil on average to continue a journey efficiency, instantaneous continuation of the journey efficiency and the electronlmobil instantaneous expectation continuation of the journey efficiency in next stage, make to predict more accurate and effective to electronlmobil course continuation mileage.
Concrete, on average continue a journey wherein a kind of implementation of efficiency of the history that step 101 in above-described embodiment calculates electronlmobil is: obtain the frequency n of electronlmobil at nearest preset time period internally-powered deep discharge, wherein the deep discharge of electrokinetic cell refers to that depth of discharge is greater than 80%.Obtain the electricity △ SOC of each deep discharge process medium power battery consumption simultaneously
kand the travelled distance △ L that each deep discharge is corresponding
k, wherein K=1,2 ... n.Then according to formula
calculate the continuation of the journey efficiency E of each deep discharge
k av, wherein, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%; Finally the continuation of the journey efficiency of each deep discharge is averaged, according to formula
the history calculating the first preset time period internally-powered battery n deep discharge is on average continued a journey efficiency E
av.
Concrete, wherein a kind of implementation that step 102 in above-described embodiment calculates the instantaneous continuation of the journey efficiency of electronlmobil is: obtain the electric current I of electronlmobil under steady state ride operating mode and the vehicle velocity V of correspondence, wherein, steady state ride operating mode refers to that electronlmobil is in the process travelled, the stable and running state that speed that is that travel is also stable of the acceleration pedal of vehicle open circuit.Then according to formula
calculate the instantaneous continuation of the journey efficiency of electronlmobil, wherein, C
0for electrokinetic cell ampere-hour capacity, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%.
Concrete, step 103 in above-described embodiment according to wherein a kind of implementation in the current driving operating mode interval of instantaneous continuation of the journey efficiency determination electronlmobil is: according to the size of the instantaneous continuation of the journey efficiency E calculated, and the instantaneous operating mode in electric automobile during traveling process can be divided into 5 driving cycle S
j, be divided into efficient operating mode S1, more efficient operating mode S2, mid-efficiency operating mode S3, comparatively poor efficiency operating mode S4, poor efficiency operating mode S5.Wherein, the scope of efficiency En corresponding between each operating mode is: efficient operating mode: E>1.1, more efficient operating mode: 1.0 < E≤1.1, mid-efficiency operating mode: 0.9<E≤1.0, comparatively poor efficiency operating mode: 0.7<E≤0.9, poor efficiency operating mode: E≤0.7.It should be noted that, can divide according to the actual requirements the division of the instantaneous operating mode in electric automobile during traveling process, be not limited to 5 driving cycles that the present embodiment divides.
Concrete, wherein a kind of implementation that step 104 in above-described embodiment calculates the operating mode transition probability of described electronlmobil in history driving process is: after electronlmobil starts traveling, start the instantaneous continuation of the journey efficiency E calculating electronlmobil, and record operating mode S corresponding to instantaneous continuation of the journey efficiency E
j, obtain in the second preset time period of electric automobile during traveling, the number of times shifted between different operating simultaneously
wherein
represent that operating mode is from S
jtransfer to S
i, as i=j, then the operating mode residing for former and later two stages remains unchanged.Obtain the operating mode sum m of electronlmobil experience in the second preset time period of electric automobile during traveling, be 5 for the operating mode divided simultaneously,
last according to formula
calculate the operating mode transition probability of electronlmobil in history driving process.
Concrete, according to the current driving operating mode of electronlmobil, interval and operating mode transition probability calculates electronlmobil and in wherein a kind of implementation of the instantaneous expectation continuation of the journey efficiency of next stage is the step 105 in above-described embodiment: definition
for electronlmobil is at S
ithe average continuation of the journey efficiency in operating mode interval,
get 1.1,
get 0.7, all the other
get corresponding S
iintermediate point between corresponding efficiency area as the average continuation of the journey efficiency in this operating mode interval, as
get the mid point 1.05 of 1.1 and 1.0.Definition E
j efor electronlmobil is at S
jthe instantaneous continuation of the journey efficiency of expectation of the next stage in operating mode interval, its method of calculating is:
Concrete, electronlmobil is carried out linear combination in the instantaneous expectation continuation of the journey efficiency of next stage and the history of electronlmobil efficiency of on average continuing a journey by the step 106 in above-described embodiment, and wherein a kind of implementation of the course continuation mileage predictor utilizing the effective value of the electrokinetic cell of current power automobile to calculate under current working is: combine and expect instantaneous continuation of the journey efficiency E
j eon average to continue a journey efficiency E with history
av, and both are carried out linear combination, utilize the effective value A of current power automobile power cell
sOCand be the specified course continuation mileage L corresponding to effecting surplus electricity of 100%
0, just can dope current working S
junder course continuation mileage predictor L
j, concrete grammar is:
wherein, A
sOCfor the effective value of electrokinetic cell, a and b is linear constant, a+b=1.The value of a, b can adjust according to practical situations, and one of them specific embodiment is a=0.8, b=0.2.
If the function described in the present embodiment method using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computing equipment read/write memory medium.Based on such understanding, the part of the part that the embodiment of the present invention contributes to prior art or this technical scheme can embody with the form of software product, this software product is stored in a storage medium, comprising some instructions in order to make a computing equipment (can be Personal Computer, server, mobile computing device or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (ROM) (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various can be program code stored medium.
In this specification sheets, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiment, between each embodiment same or similar part mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (8)
1. an electronlmobil course continuation mileage Forecasting Methodology, is characterized in that, comprising:
Calculate the history of electronlmobil on average to continue a journey efficiency;
Calculate the instantaneous continuation of the journey efficiency of electronlmobil;
Current driving operating mode according to described instantaneous continuation of the journey efficiency determination electronlmobil is interval;
Calculate the operating mode transition probability of described electronlmobil in history driving process;
Interval and the described operating mode transition probability of current driving operating mode according to described electronlmobil calculates the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage;
Described electronlmobil is carried out linear combination, the course continuation mileage predictor under utilizing effective SOC value of the electrokinetic cell of current power automobile to calculate current working in the instantaneous expectation continuation of the journey efficiency of next stage and the history of described electronlmobil efficiency of on average continuing a journey.
2. method according to claim 1, is characterized in that, the history of described calculating electronlmobil efficiency of on average continuing a journey comprises:
Obtain the frequency n of the first preset time period internally-powered deep battery discharge, and the electricity △ SOC that each deep discharge consumes
kthe travelled distance △ L corresponding with each deep discharge
k;
According to formula
calculate the continuation of the journey efficiency E of each deep discharge
k av, wherein, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%;
According to formula
the history calculating the first preset time period internally-powered battery n deep discharge is on average continued a journey efficiency E
av.
3. method according to claim 2, is characterized in that, described in calculate electronlmobil instantaneous continuation of the journey efficiency comprise:
Obtain the electric current I under electronlmobil steady state ride operating mode and corresponding vehicle velocity V;
According to formula
calculate the instantaneous continuation of the journey efficiency of electronlmobil, wherein, C
0for electrokinetic cell ampere-hour capacity, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%.
4. method according to claim 3, is characterized in that, the described current driving operating mode interval according to described instantaneous continuation of the journey efficiency determination electronlmobil is specially:
According to instantaneous continuation of the journey efficiency, the instantaneous operating mode in electric automobile during traveling process is divided into: between efficient district S1, more efficient district S2, mid-efficiency district S3, comparatively poor efficiency district S4, poor efficiency district S5,5 efficiency area; Wherein, the scope of each interval corresponding instantaneous continuation of the journey efficiency En is: efficient district: E>1.1, more efficient district: 1.0 < E≤1.1, mid-efficiency district: 0.9<E≤1.0, comparatively poor efficiency district: 0.7<E≤0.9, poor efficiency district: E≤0.7.
5. method according to claim 4, is characterized in that, the operating mode transition probability of the described electronlmobil of described calculating in history driving process comprises:
Obtain the operating mode sum m of electronlmobil experience in the second preset time period;
Obtain the transfer number between the inherent different operating mode of described second preset time period
According to formula
calculate the operating mode transition probability of electronlmobil in history driving process.
6. method according to claim 5, is characterized in that, the described interval of the current driving operating mode according to described electronlmobil and described operating mode transition probability calculate electronlmobil and be specially in the instantaneous expectation continuation of the journey efficiency of next stage:
According to formula
calculate the instantaneous expectation continuation of the journey efficiency of electronlmobil in next stage, wherein, S
jfor current driving operating mode is interval,
for S
iinterval average continuation of the journey efficiency,
get 1.1,
get 0.7, all the other
get corresponding S
iintermediate point between interval efficiency area is as efficiency of on average continuing a journey.
7. method according to claim 6, it is characterized in that, described described electronlmobil is carried out linear combination in the instantaneous expectation continuation of the journey efficiency of next stage and the history of described electronlmobil efficiency of on average continuing a journey, the course continuation mileage predictor utilizing the effective value of the electrokinetic cell of current power automobile to calculate under current working interval is specially:
According to formula
calculate the interval S of current working
junder course continuation mileage predictor L
j; Wherein, A
sOCfor the effective value of electrokinetic cell, L
0be the specified course continuation mileage corresponding to effecting surplus electricity of 100%, a and b is linear constant.
8. method according to claim 7, is characterized in that, described a+b=1.
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| CN108764565A (en) * | 2018-05-25 | 2018-11-06 | 广州有轨电车有限责任公司 | A kind of prediction technique of energy storage type tramcar maximum course continuation mileage |
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