CN104973068A - Average kilometer energy consumption estimation method and device for battery pack for blade electric vehicle - Google Patents
Average kilometer energy consumption estimation method and device for battery pack for blade electric vehicle Download PDFInfo
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- CN104973068A CN104973068A CN201510404536.4A CN201510404536A CN104973068A CN 104973068 A CN104973068 A CN 104973068A CN 201510404536 A CN201510404536 A CN 201510404536A CN 104973068 A CN104973068 A CN 104973068A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/12—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/24—Energy storage means
- B60W2510/242—Energy storage means for electrical energy
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2710/00—Output or target parameters relating to a particular sub-units
- B60W2710/24—Energy storage means
- B60W2710/242—Energy storage means for electrical energy
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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
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- Life Sciences & Earth Sciences (AREA)
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- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Air-Conditioning For Vehicles (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses an average kilometer energy consumption estimation method and device for a battery pack for a blade electric vehicle. The method comprises the steps that battery voltage Ubatt signals and battery current Ibatt signals sent by a battery controller, vehicle speed v signals sent by an ABS controller, vehicle gear signals sent by a gear shifting mechanism and air conditioner compressor ACCM power PACCM signals, warm air system PTC power PPTC signals and HVAC work state signals sent by an HVAC system are received; the average kilometer driving energy consumption eveh of the blade electric vehicle, the average kilometer energy consumption change value egear caused by gear switching and the average kilometer energy consumption ehvac of the HVAC system are obtained; the average energy consumption of the vehicle is obtained. According to the average kilometer energy consumption estimation method and device for the battery pack for the blade electric vehicle, due to the fact that the energy consumption change caused by switching of on/off and gears of the HVAC system is independently calculated, the effect on the residual mileage can be presented instantly, and accordingly accurate average kilometer energy consumption of the battery pack for the blade electric vehicle can be obtained.
Description
Technical field
The present invention relates to field of automobile control, particularly relate to average kilometer method for estimating power consumption and the device of a kind of pure electric vehicle pond group.
Background technology
Electronlmobil comprises hybrid vehicle and pure electric automobile; Wherein, pure electric automobile using electric power as unique propulsive effort.
In actual applications, the driver of pure electric automobile needs to know remaining mileage, namely, need the distance knowing that pure electric automobile can also travel, thus can charge to pure electric automobile timely, or select more reasonably drive manner and running route, to reduce pure electric automobile because the not enough probability that cannot travel caused of electricity.
In the art, the estimation of remaining mileage is all generally obtain according to the residue useful capacity of battery pack and the average kilometer energy consumption of pure electric automobile, concrete, the remaining mileage that pure electric automobile can also travel is the ratio of the residue useful capacity of battery pack and the average kilometer energy consumption of vehicle.Like this, when calculating remaining mileage, first need the residue useful capacity of estimating battery group and the average kilometer energy consumption of vehicle respectively.
In prior art, the mode that the estimation for the average kilometer energy consumption of battery pack is general is:
Vehicle consumed energy in employing setting-up time (or distance) divided by the operating range in setting-up time, then carries out average value processing or filtering process etc. to the power consumption values of multiple time point (range points).
Contriver finds, owing at least there is following defect in prior art through research:
Because the accuracy of the estimation result of the average kilometer energy consumption of battery pack is not high, thus cause the estimation accuracy of remaining mileage poor.
Summary of the invention
Technical matters to be solved by this invention is the accuracy of the estimation result of the average kilometer energy consumption how improving battery pack, concrete:
Embodiments provide the average kilometer method for estimating power consumption of a kind of pure electric vehicle pond group, comprise step:
The cell pressure U that S11, reception battery controller send
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, air-conditioning compressor (ACCM) power P that HVAC system sends
aCCMsignal, warm air system (PTC) power P
pTCsignal, HVAC working state signal;
S12, the average kilometer obtaining described pure electric automobile travel energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac;
S13, obtain vehicle average energy consumption e according to formula (1)
avrg; Described formula (1) comprising:
e
avrg＝e
veh+e
gear+e
hvac。
Preferably, in embodiments of the present invention, the average kilometer of the described pure electric automobile of described acquisition travels energy consumption e
veh, comprising:
The sampling frequency that S21, basis are preset, setting sampling time point;
S22, calculate accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is for representing the sequence number in multiple sampling time points of present sample time point in the setting mileage preset, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
S23, circulation perform step S22, when described accumulative travelled distance S (k) reaches described setting fare register, calculate the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
e
set(n)＝e
cns(k)/S
set；
Wherein, described n is for representing the sequence number of current setting mileage in multiple setting mileage;
S24, by formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
Preferably, in embodiments of the present invention, the average kilometer energy consumption e of the HVAC system of the described pure electric automobile of described acquisition
hvac, comprising:
According to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system of described pure electric automobile
hvac;
Wherein, described v
avrgfor vehicle average ground speed; Described P
hvacfor the power stage of HVAC system.
Preferably, in embodiments of the present invention, the power stage P of described HVAC system
hvacacquisition methods comprise:
When HVAC working state signal display trouble free, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power;
When HVAC working state signal display fault, the power stage P of HVAC system
hvacbe 0.
Preferably, in embodiments of the present invention, the average kilometer energy consumption changing value e that causes of described acquisition gear switch
gear, comprising:
Preset power shelves switch the zone bit Flg of economic gear
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Obtain described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
At another side of the present invention, additionally provide the average kilometer Estimation of energy consumption device of a kind of pure electric vehicle pond group, comprising:
Parameter acquiring unit, for receiving the cell pressure U that battery controller sends
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, air-conditioning compressor (ACCM) power P that HVAC system sends
aCCMsignal, warm air system (PTC) power P
pTCsignal, HVAC working state signal;
Classification energy consumption acquiring unit, travels energy consumption e for the average kilometer obtaining described pure electric automobile
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac;
Average energy consumption calculating unit, for obtaining the average energy consumption e of vehicle according to formula (1)
avrg; Described formula (1) comprising:
e
avrg＝e
veh+e
gear+e
hvac。
Preferably, in embodiments of the present invention, described classification energy consumption acquiring unit, comprising:
Sampling time point determination module, for according to the sampling frequency preset, sets sampling time point;
Sampling computing module, for calculating accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is for representing the sequence number in multiple sampling time points of present sample time point in the setting mileage preset, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
Segmentation kilometer energy consumption acquisition module, for reaching described setting fare register when described accumulative travelled distance S (k), calculates the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
e
set(n)＝e
cns(k)/S
set；
Wherein, described n is for representing the sequence number of current setting mileage in multiple setting mileage;
Average kilometer travels energy consumption generation module, for passing through formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
Preferably, in embodiments of the present invention, described classification energy consumption acquiring unit, comprising:
The average energy consumption acquisition module of HVAC, for according to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system of described pure electric automobile
hvac;
Wherein, described v
avrgfor vehicle average ground speed; Described P
hvacfor the power stage of HVAC system.
Preferably, in embodiments of the present invention, the average energy consumption acquisition module of described HVAC, comprising:
The power determination assembly of HVAC system, for when HVAC working state signal shows trouble free, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power; When HVAC working state signal display fault, determine the power stage P of HVAC system
hvacbe 0.
Preferably, in embodiments of the present invention, described classification energy consumption acquiring unit, comprising:
Correction setting module, switches the zone bit Flg of economic gear for preset power shelves
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Energy consumption changing value acquisition module, for obtaining described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
In the embodiment of the present invention, at the cell pressure U that reception battery controller sends
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, the air-conditioning compressor ACCM power P that HVAC system sends
aCCMsignal, warm air system PTC power P
pTCafter signal, HVAC working state signal, according to the difference of energy consumption type, calculate the average kilometer energy consumption of dissimilar energy consumption respectively, that is, the average kilometer obtaining electronlmobil respectively travels energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac, like this, just by after dissimilar average kilometer energy consumption addition calculation, the average kilometer energy consumption of pure electric vehicle pond group just can be obtained.Because the embodiment of the present invention calculates separately the energy consumption change caused by the ON/OFF of HVAC system and the switching of gear, so instantaneous embodiment can be given on the impact of remaining mileage, and then the average kilometer energy consumption of accurate pure electric vehicle pond group can be obtained.
Further, in embodiments of the present invention, can be consuming time at the average kilometer of calculating vehicle, kilometer energy consumption in setting distance is carried out to the process of filtering and nonlinear feedback, data weighting far away for distance current time is set to less, the nearer data weighting of distance current time is set to comparatively large, thus solves the energy consumption caused owing to all historical datas to be carried out average value processing in prior art and upgrade slow, the problem of recent motoring condition can not be reflected in time.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application 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, the accompanying drawing that the following describes is only some embodiments recorded in the application, 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.
Fig. 1 is the step schematic diagram of the average kilometer method for estimating power consumption of the pond of pure electric vehicle described in the application group;
Fig. 2 is the structural representation of the control system of pure electric automobile described in the application;
Fig. 3 is the another step schematic diagram of the average kilometer method for estimating power consumption of the pond of pure electric vehicle described in the application group;
The structural representation of the average kilometer Estimation of energy consumption device that Fig. 4 is the pond of pure electric vehicle described in the application group.
Detailed description of the invention
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, 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.
In order to improve the accuracy of the estimation result of the average kilometer energy consumption of battery pack, embodiments providing the average kilometer method for estimating power consumption of a kind of pure electric vehicle pond group, as shown in Figure 1, comprising step:
The cell pressure U that S11, reception battery controller send
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, the air-conditioning compressor ACCM power P that HVAC system sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal;
The application of the average kilometer method for estimating power consumption of the pure electric vehicle pond group in the embodiment of the present invention is based on the control system of pure electric automobile, with reference to the structural representation of the control system of the pure electric automobile shown in figure 2, the major part of control system comprises entire car controller 01, gearshift 02, battery controller 03, abs controller 04, HVAC system 05 and display unit 06 etc.
In embodiments of the present invention, entire car controller 01 can as the data processing equipment realizing various calculating, namely, entire car controller 01 can carry out calculation process by default various formula or algorithm to the various data received, generate corresponding result, that is, entire car controller 01 can perform each step in the embodiment of the present invention as executive agent.
In practical application, entire car controller 01 can also receive the battery status information data (comprising cell pressure, electric current, SOC, temperature etc.) that battery controller 03 sends, and, receive the speed information data that abs controller 04 sends, thus the residue useful capacity of battery pack and average kilometer power consumption values can be calculated;
In addition, abs controller 04 can also receive the automobile gear level information data that gearshift 02 sends, and, the ACCM/PTC power information data that HVAC system 05 sends and working state signal, thus the impact of current vehicle condition for average kilometer energy consumption can be calculated.
Entire car controller 01 can also according to the residue useful capacity of battery pack and average kilometer power consumption values, calculate the remaining mileage of pure electric automobile, and present to chaufeur by display unit 06, thus facilitate chaufeur to make correct judgement, be select suitable travel way and suitable charging opportunity.
In embodiments of the present invention, first, entire car controller 01 obtains the cell pressure U of the battery pack that battery controller 03 sends
battwith battery current I
battsignal; In addition, the automobile gear level signal that entire car controller 01 also obtains speed of a motor vehicle v signal that abs controller 04 sends, gearshift 02 sends, and, the air-conditioning compressor ACCM power P that HVAC system 05 sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal.
The average kilometer of S12, acquisition pure electric automobile travels energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac;
Obtaining cell pressure U
battwith battery current I
battsignal, speed of a motor vehicle v signal, automobile gear level signal, and, ACCM power P
aCCMsignal, warm air system PTC power P
pTCafter signal, HVAC working state signal, just can carry out follow-up calculating according to these parameters, concrete:
In embodiments of the present invention, average kilometer travels energy consumption e
vehrefer to average kilometer energy consumption only for driving vehicle to travel after the various annex consumption of removing; The average kilometer obtaining pure electric automobile travels energy consumption e
veh, can as shown in Figure 3, comprise the following steps:
The sampling frequency that S21, basis are preset, setting sampling time point; ;
In actual applications, sampling time point can be set by the mode of default sampling frequency, can be such as that setting sets a sampling time point by every 10 milliseconds, that is, often cross 10 milliseconds of accumulative travelled distances that just execution is once follow-up and calculate and add up energy consumption calculation.
S22, calculate accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is for representing the sequence number in multiple sampling time points of present sample time point in the setting mileage preset, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
In embodiments of the present invention, accumulative travelled distance calculates and adds up the corresponding calculating that energy consumption calculation specifically refers to the carrying out in a default setting mileage.
Wherein, accumulative travelled distance calculates and may be used for judging whether the operating range of pure electric automobile reaches setting mileage within the average kilometer energy consumption calculation cycle of a default mileage.Pure electric automobile is often travelled 500 meters as the setting mileage preset, that is, when pure electric automobile travels 500 meters, calculate the average kilometer energy consumption calculation that pure electric automobile finally travels 500 meters.Specifically, when reaching 500 meters in the value that a kth sampling time point calculates accumulative travelled distance S (k), average kilometer energy consumption calculation is triggered.Concrete, the mode obtaining accumulative travelled distance S (k) can be, by speed of a motor vehicle v (k) and the travelled distance in sampling time Δ t calculating kth moment in kth moment, sue for peace with the cumulative mileage S (k-1) in k-1 moment simultaneously, be cumulative mileage S (k) in kth moment, computing formula is: S (k)=S (k-1)+v (k) × Δ t.
In this step, while carrying out accumulative travelled distance calculating, also need to obtain the accumulative energy consumption e of pure electric automobile at present sample time point k
cns(k).Optionally, by formula (2), the accumulative energy consumption e of pure electric automobile at present sample time point k can be obtained
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is present sample time point, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
As seen from the above, by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery pack
battk (), deducts the ACCM power P in kth moment
aCCM(k) and PTC power P
pTC(k), then by the horsepower output P of kth moment battery pack
battk () and sampling time Δ t calculate the energy consumption in kth moment, while with the cumulative energy consumption e in k-1 moment
cns(k-1) sue for peace, thus obtain the cumulative energy consumption e in kth moment
cns(k).
S23, circulation perform step S22, when described accumulative travelled distance S (k) reaches described setting fare register, calculate the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
e
set(n)＝e
cns(k)/S
set；
Wherein, described n is for representing the sequence number of current setting mileage in multiple setting mileage;
Owing to generally needing the time through multiple sampling period, the operating range of pure electric automobile just can reach default mileage, so need circulation to perform step S22, to judge whether the operating range of pure electric automobile reaches setting mileage by being calculated accumulative travelled distance by step S22;
When accumulative travelled distance S (k) reaches described setting fare register, need the average kilometer energy consumption e of mileage calculated in current setting mileage n
setn (), that is, just can obtain the average kilometer energy consumption e of mileage of the n-th setting mileage according to formula (3)
set(n);
Due in embodiments of the present invention, k is for representing the sequence number in the multiple sampling time points in each setting mileage, so after the average kilometer energy consumption calculation of mileage of each setting mileage, when carrying out accumulative travelled distance and accumulative energy consumption calculation in next one setting mileage, k is needed to reset, that is, the sequence number of present sample time point needs from zero.
S24, by formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
E in the embodiment of the present invention
correctfor energy consumption correction, its value size and n-th sets the true average kilometer energy consumption e of mileage
set(n) and front n-1 the average kilometer energy consumption e of vehicle setting mileage and export
veh(n-1) difference is relevant, along with e
set(n)-e
veh(n-1) increase of difference, energy consumption correction e
correctalso increase.In the embodiment of the present invention, energy consumption correction e is set
correctobject be: e
setn () is the true average kilometer energy consumption of current setting mileage, embody current energy consumption size, and e
veh(n-1) be that after process front n-1 sets mileage vehicles average kilometer energy consumption, what embody is the size of history energy consumption, when current energy consumption to differ with history energy consumption comparatively large (such as switching between bad working environments and gentle operating mode) time, better can embody the change of current energy consumption by increasing energy consumption correction.
In embodiments of the present invention, can be consuming time at the average kilometer of calculating vehicle, kilometer energy consumption in setting distance is carried out to the process of filtering and nonlinear feedback, will apart from current time comparatively far (namely, (n-1)th setting mileage) data weighting be set to less, will apart from current time comparatively closely (namely, n-th setting mileage) data weighting be set to larger, thus solve in prior art and upgrade slow owing to all historical datas to be carried out the energy consumption that average value processing causes, the problem of recent motoring condition can not be reflected in time.
In addition, in embodiments of the present invention, the average kilometer energy consumption e of the HVAC system obtaining pure electric automobile can also be comprised
hvac, concrete steps, comprising:
According to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system 05 of pure electric automobile
hvac; Wherein, v
avrgfor vehicle average ground speed; P
hvacfor the power stage of HVAC system 05.
Concrete, the average kilometer energy consumption calculation of HVAC system 05 adopts power divided by the mode of the speed of a motor vehicle, and it is equivalent to the mode of energy consumption divided by mileage in theory, and derivation is
the average kilometer energy consumption of HVAC system adopts power to be that the energy consumption that can embody instantaneously, in time caused by subscriber switch HVAC system 05 changes divided by the advantage of speed of a motor vehicle mode, and by the change of present for this variant remaining mileage.
Vehicle average ground speed v
avrgbeing entire car controller 03 carries out according to the vehicle speed signal that abs controller 04 sends the average ground speed that accumulation calculating obtains, and namely total mileage is divided by overall travel time.
Further, the power stage P of HVAC system 05
hvacacquisition methods specifically can comprise: when HVAC system working state signal display trouble free time, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power; When the working state signal display fault of HVAC system, the power stage P of HVAC system 05
hvacbe 0.
In addition, in embodiments of the present invention, the average kilometer energy consumption changing value e obtaining gear switch and cause can also be comprised
gearstep, comprising:
Preset power shelves switch the zone bit Flg of economic gear
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Obtain described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
The change of gear, the average kilometer energy consumption change that can cause, for this reason, the embodiment of the present invention is by obtaining described zone bit Flg
dEvalue, can judge the gear signal that gearshift 02 sends timely, thus the average kilometer energy consumption change due to gear caused change calculates, to obtain energy consumption data more accurately.
S13, obtain vehicle average energy consumption e according to formula (1)
avrg; Described formula (1) comprising:
e
avrg＝e
veh+e
gear+e
hvac。
Energy consumption e is travelled at the average kilometer obtaining pure electric automobile
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvacafter, just can pass through the average kilometer energy consumption of comprehensive statistics pure electric automobile, that is, average kilometer be travelled energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gearphase Calais obtains the average kilometer energy consumption of pure electric automobile.Owing to passing through the embodiment of the present invention, the embodiment of the present invention is by calculating separately the ON/OFF of HVAC system and the change of the energy consumption caused by the switching of gear, so instantaneous embodiment can be given on the impact of remaining mileage, and then the average kilometer energy consumption of accurate pure electric vehicle pond group can be obtained.
In another aspect of this invention, additionally provide the average kilometer Estimation of energy consumption device of a kind of pure electric vehicle pond group, as shown in Figure 4, the average kilometer Estimation of energy consumption device of pure electric vehicle pond group can be located in the entire car controller 01 of Intelligent Control System of Electrical Vehicle, and specifically can comprise parameter acquiring unit 21, classification energy consumption acquiring unit 22 and average energy consumption calculation unit 23, wherein:
Parameter acquiring unit 21, for receiving the cell pressure U that battery controller sends
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, the air-conditioning compressor ACCM power P that HVAC system sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal; Classification energy consumption acquiring unit 22, travels energy consumption e for the average kilometer obtaining described pure electric automobile
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac; Average energy consumption calculating unit 23, for obtaining the average energy consumption e of vehicle according to formula (1)
avrg; Described formula (1) comprising: e
avrg=e
veh+ e
gear+ e
hvac.
The application of the average kilometer method for estimating power consumption of the pure electric vehicle pond group in the embodiment of the present invention is based on the control system of pure electric automobile, with reference to the structural representation of the control system of the pure electric automobile shown in figure 2, the major part of control system comprises entire car controller 01, gearshift 02, battery controller 03, abs controller 04, HVAC system 05 and display unit 06 etc.
In embodiments of the present invention, entire car controller 01 can as the data processing equipment realizing various calculating, namely, entire car controller 01 can carry out calculation process by default various formula or algorithm to the various data received, generate corresponding result, that is, entire car controller 01 can comprise the unit of the average kilometer Estimation of energy consumption device of pure electric vehicle pond group in the embodiment of the present invention
In practical application, entire car controller 01 can also receive the battery status information data (comprising cell pressure, electric current, SOC, temperature etc.) that battery controller 03 sends, and, receive the speed information data that abs controller 04 sends, thus the residue useful capacity of battery pack and average kilometer power consumption values can be calculated;
In addition, abs controller 04 can also receive the automobile gear level information data that gearshift 02 sends, and, the ACCM/PTC power information data that HVAC system 05 sends and working state signal, thus the impact of current vehicle condition for average kilometer energy consumption can be calculated.
Entire car controller 01 can also according to the residue useful capacity of battery pack and average kilometer power consumption values, calculate the remaining mileage of pure electric automobile, and present to chaufeur by display unit 06, thus facilitate chaufeur to make correct judgement, be select suitable travel way and suitable charging opportunity.
In embodiments of the present invention, first, parameter acquiring unit 21 obtains the cell pressure U of the battery pack that battery controller 03 sends
battwith battery current I
battsignal; In addition, the automobile gear level signal that parameter acquiring unit 21 also obtains speed of a motor vehicle v signal that abs controller 04 sends, gearshift 02 sends, and, the air-conditioning compressor ACCM power P that HVAC system 05 sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal.
Obtaining cell pressure U
battwith battery current I
battsignal, speed of a motor vehicle v signal, automobile gear level signal, and, ACCM power P
aCCMsignal, warm air system PTC power P
pTCafter signal, HVAC working state signal, classification energy consumption acquiring unit 22 just just can carry out follow-up calculating according to these parameters, concrete:
In embodiments of the present invention, average kilometer travels energy consumption e
vehrefer to average kilometer energy consumption only for driving vehicle to travel after the various annex consumption of removing; The average kilometer obtaining pure electric automobile travels energy consumption e
veh, classification energy consumption acquiring unit 22 specifically can comprise sampling time point determination module, sampling computing module, segmentation kilometer energy consumption acquisition module and average kilometer and travel energy consumption generation module, wherein,
Sampling time point determination module is used for the sampling frequency according to presetting, setting sampling time point; In actual applications, sampling time point determination module can set sampling time point by the mode of default sampling frequency, can be such as that setting sets a sampling time point by every 10 milliseconds, that is, often cross 10 milliseconds and just perform once accumulative travelled distance calculating and add up energy consumption calculation
Sampling computing module, for calculating accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Accumulative travelled distance calculates and may be used for judging whether the operating range of pure electric automobile reaches setting mileage within the average kilometer energy consumption calculation cycle of a default mileage.Pure electric automobile is often travelled 500 meters as the setting mileage preset, that is, when pure electric automobile travels 500 meters, sampling computing module calculates the average kilometer energy consumption calculation that pure electric automobile finally travels 500 meters.Specifically, when reaching 500 meters in the value that kth sampling time point calculates accumulative travelled distance S (k), triggering sampling computing module and to be averaged a kilometer energy consumption calculation.Concrete, the mode obtaining accumulative travelled distance S (k) can be, by speed of a motor vehicle v (k) and the travelled distance in sampling time Δ t calculating kth moment in kth moment, sue for peace with the cumulative mileage S (k-1) in k-1 moment simultaneously, be cumulative mileage S (k) in kth moment, computing formula is: S (k)=S (k-1)+v (k) × Δ t.
Sampling computing module, while carrying out accumulative travelled distance calculating, also needs to obtain the accumulative energy consumption e of pure electric automobile at present sample time point k
cns(k).Optionally, by formula (2), the accumulative energy consumption e of pure electric automobile at present sample time point k can be obtained
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is present sample time point, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
As seen from the above, by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery pack
battk (), deducts the ACCM power P in kth moment
aCCM(k) and PTC power P
pTC(k), then by the horsepower output P of kth moment battery pack
battk () and sampling time Δ t calculate the energy consumption in kth moment, while with the cumulative energy consumption e in k-1 moment
cns(k-1) sue for peace, thus obtain the cumulative energy consumption e in kth moment
cns(k).
Segmentation kilometer energy consumption acquisition module, for reaching setting fare register when accumulative travelled distance S (k), calculates the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
E
set(n)=e
cns(k)/S
set; Wherein, n is for representing the sequence number of current setting mileage in multiple setting mileage;
Owing to generally needing the time through multiple sampling period, the operating range of pure electric automobile just can reach default mileage, the calculating that computing module carries out repeatedly so need to sample, with judge accumulative travelled distance whether arrive set mileage mode to determine whether the operating range of pure electric automobile reaches setting mileage;
When accumulative travelled distance S (k) reaches described setting fare register, need the average kilometer energy consumption e of mileage calculated in current setting mileage n
setn (), that is, segmentation kilometer energy consumption acquisition module just can obtain the average kilometer energy consumption e of mileage of the n-th setting mileage according to formula (3)
set(n);
Due in embodiments of the present invention, k is for representing the sequence number in the multiple sampling time points in each setting mileage, so after the average kilometer energy consumption calculation of mileage of each setting mileage, in next one setting mileage, k is needed to reset, that is, the sequence number of present sample time point needs from zero.
Average kilometer travels energy consumption generation module, for passing through formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
Average kilometer travels energy consumption generation module, for passing through formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
E in the embodiment of the present invention
correctfor energy consumption correction, its value size and n-th sets the true average kilometer energy consumption e of mileage
set(n) and front n-1 the average kilometer energy consumption e of vehicle setting mileage and export
veh(n-1) difference is relevant, along with e
set(n)-e
veh(n-1) increase of difference, energy consumption correction e
correctalso increase.In the embodiment of the present invention, energy consumption correction e is set
correctobject be: e
setn () is the true average kilometer energy consumption of current setting mileage, embody current energy consumption size, and e
veh(n-1) be that after process front n-1 sets mileage vehicles average kilometer energy consumption, what embody is the size of history energy consumption, when current energy consumption to differ with history energy consumption comparatively large (such as switching between bad working environments and gentle operating mode) time, better can embody the change of current energy consumption by increasing energy consumption correction.
In embodiments of the present invention, can be consuming time at the average kilometer of calculating vehicle, kilometer energy consumption in setting distance is carried out to the process of filtering and nonlinear feedback, will apart from current time comparatively far (namely, (n-1)th setting mileage) data weighting be set to less, will apart from current time comparatively closely (namely, n-th setting mileage) data weighting be set to larger, thus solve in prior art and upgrade slow owing to all historical datas to be carried out the energy consumption that average value processing causes, the problem of recent motoring condition can not be reflected in time.
In addition, in embodiments of the present invention, classification energy consumption acquiring unit 22 can also comprise the average energy consumption acquisition module of HVAC, and the average energy consumption acquisition module of HVAC is used for according to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system of described pure electric automobile
hvac; Wherein, described v
avrgfor vehicle average ground speed; Described P
hvacfor the power stage of HVAC system.Concrete, the average kilometer energy consumption calculation of HVAC system 05 adopts power divided by the mode of the speed of a motor vehicle, and it is equivalent to the mode of energy consumption divided by mileage in theory, and derivation is
the average kilometer energy consumption of HVAC system adopts power to be that the energy consumption that can embody instantaneously, in time caused by subscriber switch HVAC system 05 changes divided by the advantage of speed of a motor vehicle mode, and by the change of present for this variant remaining mileage.
Vehicle average ground speed v
avrgbeing entire car controller 03 carries out according to the vehicle speed signal that abs controller 04 sends the average ground speed that accumulation calculating obtains, and namely total mileage is divided by overall travel time.
Further, the average energy consumption acquisition module of the HVAC in the embodiment of the present invention can also comprise the power determination assembly of HVAC system; When the power determination assembly of HVAC system is used for the working state signal display trouble free when HVAC system, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power; When the working state signal display fault of HVAC system, the power stage P of HVAC system 05
hvacbe 0.
In addition, in embodiments of the present invention, classification energy consumption acquiring unit 22 can comprise correction setting module, and correction setting module is used for the zone bit Flg that preset power shelves switch economic gear
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Energy consumption changing value acquisition module is for obtaining described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
The change of gear, the average kilometer energy consumption change that can cause, for this reason, the embodiment of the present invention is by obtaining described zone bit Flg
dEvalue, can judge the gear signal that gearshift 02 sends timely, thus the average kilometer energy consumption change due to gear caused change calculates, to obtain energy consumption data more accurately.
Average energy consumption calculating unit 23 is for obtaining the average energy consumption e of vehicle according to formula (1)
avrg; Described formula (1) comprising: e
avrg=e
veh+ e
gear+ e
hvac.
Energy consumption e is travelled at the average kilometer obtaining pure electric automobile
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvacafter, just can pass through the average kilometer energy consumption of comprehensive statistics pure electric automobile, that is, average kilometer be travelled energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gearphase Calais obtains the average kilometer energy consumption of pure electric automobile.Owing to passing through the embodiment of the present invention, the embodiment of the present invention is by calculating separately the ON/OFF of HVAC system and the change of the energy consumption caused by the switching of gear, so instantaneous embodiment can be given on the impact of remaining mileage, and then the average kilometer energy consumption of accurate pure electric vehicle pond group can be obtained.
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 embodiments, between each embodiment identical similar portion mutually see.For the device that embodiment provides, the method provided due to itself and embodiment is corresponding, so description is fairly simple, relevant part illustrates see method part.
To the above-mentioned explanation of provided embodiment, 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 provided in this article and features of novelty.
Claims (10)
1. an average kilometer method for estimating power consumption for pure electric vehicle pond group, is characterized in that, comprise step:
The cell pressure U that S11, reception battery controller send
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, the air-conditioning compressor ACCM power P that HVAC system sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal;
S12, the average kilometer obtaining described pure electric automobile travel energy consumption e
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac;
S13, obtain vehicle average energy consumption e according to formula (1)
avrg; Described formula (1) comprising:
e
avrg＝e
veh+e
gear+e
hvac。
2. average kilometer method for estimating power consumption according to claim 1, is characterized in that, the average kilometer of the described pure electric automobile of described acquisition travels energy consumption e
veh, comprising:
The sampling frequency that S21, basis are preset, setting sampling time point;
S22, calculate accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is for representing the sequence number in multiple sampling time points of present sample time point in the setting mileage preset, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
S23, circulation perform step S22, when described accumulative travelled distance S (k) reaches described setting fare register, calculate the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
e
set(n)＝e
cns(k)/S
set；
Wherein, described n is for representing the sequence number of current setting mileage in multiple setting mileage;
S24, by formula (4) to described average kilometer power consumption values e
setn () carries out filtering in conjunction with nonlinear feedback process, the vehicle average kilometer traveling energy consumption e that before obtaining, n setting mileage exports
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
3. average kilometer method for estimating power consumption according to claim 1, is characterized in that, the average kilometer energy consumption e of the HVAC system of the described pure electric automobile of described acquisition
hvac, comprising:
According to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system of described pure electric automobile
hvac;
Wherein, described v
avrgfor vehicle average ground speed; Described P
hvacfor the power stage of HVAC system.
4. average kilometer method for estimating power consumption according to claim 3, is characterized in that, the power stage P of described HVAC system
hvacacquisition methods comprise:
When HVAC working state signal display trouble free, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power;
When HVAC working state signal display fault, the power stage P of HVAC system
hvacbe 0.
5. average kilometer method for estimating power consumption according to claim 4, is characterized in that, the average kilometer energy consumption changing value e that described acquisition gear switch causes
gear, comprising:
Preset power shelves switch the zone bit Flg of economic gear
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Obtain described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
6. an average kilometer Estimation of energy consumption device for pure electric vehicle pond group, is characterized in that, comprising:
Parameter acquiring unit, for receiving the cell pressure U that battery controller sends
battwith battery current I
battsignal, the speed of a motor vehicle v signal that abs controller sends, the automobile gear level signal that gearshift sends, and, the air-conditioning compressor ACCM power P that HVAC system sends
aCCMsignal, warm air system PTC power P
pTCsignal, HVAC working state signal;
Classification energy consumption acquiring unit, travels energy consumption e for the average kilometer obtaining described pure electric automobile
veh, the average kilometer energy consumption changing value e that causes of gear switch
gear, and, the average kilometer energy consumption e of HVAC system
hvac;
Average energy consumption calculating unit, for obtaining the average energy consumption e of vehicle according to formula (1)
avrg; Described formula (1) comprising:
e
avrg＝e
veh+e
gear+e
hvac。
7. average kilometer Estimation of energy consumption device according to claim 6, is characterized in that, described classification energy consumption acquiring unit, comprising:
Sampling time point determination module, for according to the sampling frequency preset, sets sampling time point;
Sampling computing module, for calculating accumulative travelled distance S (k) of described pure electric automobile at present sample time point k at each sampling time point, and obtain the accumulative energy consumption e of described pure electric automobile at present sample time point k according to formula (2)
cns(k); Described formula (2) comprising:
e
cns(k)＝e
cns(k-1)+(P
batt(k)-P
ACCM(k)-P
PTC(k))×Δt；
Wherein, described k is for representing the sequence number in multiple sampling time points of present sample time point in the setting mileage preset, and described k-1 is a upper sampling time point of k time point, and described Δ t is the sampling time section between two sampling time points; Described P
battk () is by the cell pressure U in kth moment
batt(k) and battery current I
battk () calculates the horsepower output P of kth moment battery
batt(k); Described P
aCCMk ACCM power that () is the kth moment; Described P
pTCk PTC power that () is the kth moment;
Segmentation kilometer energy consumption acquisition module, for reaching described setting fare register when described accumulative travelled distance S (k), calculates the average kilometer energy consumption e of mileage in current setting mileage n
set(n); Described formula (3) comprising:
e
set(n)＝e
cns(k)/S
set；
Wherein, described n is for representing the sequence number of current setting mileage in multiple setting mileage;
Average kilometer travels energy consumption generation module, for passing through formula (4) to described average kilometer power consumption values e
setn () carries out " filtering is in conjunction with nonlinear feedback " process, before obtaining, the average kilometer of vehicle of n setting mileage output travels energy consumption e
veh(n); Described formula (4) formula comprises:
e
veh(n)＝e
set(n)×a+e
veh(n-1)×b+e
correct；
Wherein, described a is the true average kilometer energy consumption e of the n-th setting mileage
setthe weight coefficient of (n); Described b is the average kilometer energy consumption e of vehicle that (n-1)th setting mileage exports
veh(n-1) weight coefficient; The span of described a is 0<a≤0.1, and the span of described b is 0.9≤b<1, and the relation of a and b meets a+b=1; Described e
correctfor energy consumption correction, described e
correctaccording to described e
set(n) and described e
veh(n-1) increase and decrease of the difference between and increasing and decreasing accordingly.
8. average kilometer Estimation of energy consumption device according to claim 6, is characterized in that, described classification energy consumption acquiring unit, comprising:
The average energy consumption acquisition module of HVAC, for according to formula (5) e
hvac=P
hvac/ v
avrg, obtain the average kilometer energy consumption e of the HVAC system of described pure electric automobile
hvac;
Wherein, described v
avrgfor vehicle average ground speed; Described P
hvacfor the power stage of HVAC system.
9. average kilometer Estimation of energy consumption device according to claim 8, is characterized in that, the average energy consumption acquisition module of described HVAC, comprising:
The power determination assembly of HVAC system, for when HVAC working state signal shows trouble free, according to formula (6) P
hvac=P
aCCM+ P
pTCcalculate the power stage P of HVAC system
hvac; Wherein, described P
aCCMfor ACCM power; Described P
pTCfor PTC power; When HVAC working state signal display fault, determine the power stage P of HVAC system
hvacbe 0.
10. average kilometer Estimation of energy consumption device according to claim 6, is characterized in that, described classification energy consumption acquiring unit, comprising:
Correction setting module, switches the zone bit Flg of economic gear for preset power shelves
dEwhen being 1, kilometer energy consumption drop-out value is setting value e
drvEco; Preset the zone bit Flg that economic gear switches power gear
eDwhen being 1, kilometer energy consumption rising value is setting value e
ecoDrv;
Energy consumption changing value acquisition module, for obtaining described zone bit Flg
dEvalue, and according to formula (7) e
gear=-e
drvEco* Flg
dE+ e
ecoDrv* Flg
eDcalculate and generate average kilometer energy consumption changing value e
gear.
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