CN109471034A - A kind of acquisition methods and device of electric automobile energy efficiency - Google Patents
A kind of acquisition methods and device of electric automobile energy efficiency Download PDFInfo
- Publication number
- CN109471034A CN109471034A CN201710806023.5A CN201710806023A CN109471034A CN 109471034 A CN109471034 A CN 109471034A CN 201710806023 A CN201710806023 A CN 201710806023A CN 109471034 A CN109471034 A CN 109471034A
- Authority
- CN
- China
- Prior art keywords
- value
- charging
- parameter
- discharging
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The embodiment of the present invention provides a kind of acquisition methods of electric automobile energy efficiency, comprising: the charge parameter during successively obtaining a charged state and discharge parameter and the second weighted value during the first weighted value, a discharge condition and discharge condition terminate to next operating condition third weighted value when starting；The weighted value is determined by the time of repose and SOC changing value of a upper operating condition to current working battery；The energy efficiency under present weight is obtained by the discharge parameter and the charge parameter according to the ratio of discharge energy and rechargeable energy under unit SOC changing value, present weight is the average value of the first weighted value, the second weighted value and third weighted value.This method can be more accurate acquisition electric car energy efficiency, be particularly suitable for simultaneously and dynamically reacting the energy efficiency of electric car after electric vehicle use.
Description
Technical Field
The invention relates to the field of electric automobiles, in particular to a method and a device for acquiring energy efficiency of an electric automobile.
Background
With the continuous reduction of traditional energy and the continuous improvement of environmental protection consciousness, new energy vehicles have been developed greatly, and new energy vehicles usually use storage batteries as power sources, and the energy efficiency of the storage batteries can reflect the efficiency of electric vehicles.
The energy efficiency of the electric vehicle, namely the energy efficiency of the storage battery, is the percentage of the discharged electric quantity and the charged electric quantity of the storage battery, and is usually expressed by the ratio of the full discharge quantity and the full charge quantity of the storage battery, and the parameter reflects the energy conversion capability of the storage battery and is an important index of the dynamic performance of the new energy vehicle.
At present, the energy efficiency parameter is mainly calibrated when the energy efficiency parameter leaves a factory, and the calculation methods are different. However, in practical use, the energy efficiency of the electric vehicle is not a constant quantity, and changes with the use of the electric vehicle and the loss of the whole vehicle, and there is no method for accurately representing the energy efficiency of the electric vehicle at present.
Disclosure of Invention
The invention provides a method and a device for acquiring energy efficiency of an electric automobile, which are used for acquiring more accurate energy efficiency.
The invention provides a method for acquiring energy efficiency of an electric automobile, which comprises the following steps:
sequentially obtaining a charging parameter and a first weight value during a primary charging state, a discharging parameter and a second weight value during a primary discharging state, and a third weight value from the end of the discharging state to the beginning of the next working condition; wherein the state of charge comprises one or more consecutive charges, and the charging parameters comprise a charging energy and a SOC variation value; the discharge state comprises one or more times of continuous discharge, the discharge state is finished when the SOC variation value in the discharge period is larger than a preset threshold value, and the discharge parameters comprise discharge energy and the SOC variation value; the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value;
and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the discharge parameter and the charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
Optionally, the method further comprises: and obtaining the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
Optionally, the charging state includes a plurality of times of continuous charging, and the first weight value is a product of weight values at each time of continuous charging; or,
the discharge state includes a plurality of times of continuous discharge, and the second weight value is a product of weight values at each time of continuous discharge.
A method for acquiring energy efficiency of an electric vehicle comprises the following steps:
judging the working state and the state identification of the storage battery each time the BMS is awakened;
when the working state is charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the current time during the charging period, wherein the charging weight value of the current time is the first weight value, the charging parameter of the current time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value;
when the working state is charging and the state identification is a second numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time; superposing the charging parameter and the first charging parameter to obtain an updated first charging parameter, and multiplying the charging weight value and the first weight value to obtain an updated first weight value;
when the working state is discharging and the state identifier is a second numerical value, obtaining a discharging parameter and a discharging weight value during discharging, wherein the discharging parameter comprises discharging energy and a discharging SOC change value, the discharging weight value is the second weight value, the discharging parameter is a first discharging parameter, and the state identifier is set to be a third numerical value;
when the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if so, obtaining a discharging parameter and a discharging weight value in the discharging period, overlapping the discharging parameter and the first discharging parameter to obtain an updated first discharging parameter, and multiplying the discharging weight value and a second weight value to obtain an updated second weight value; if not, acquiring a third weight value, calculating energy efficiency, and setting the state identifier as a first numerical value;
when the working state is charging and the state identifier is a third numerical value, judging whether the SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if not, obtaining a third weight value, calculating energy efficiency, and setting the state identifier as the first numerical value;
the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value; the energy efficiency calculation includes: and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
Optionally, the calculating of the energy efficiency further comprises: and obtaining the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
An electric vehicle energy efficiency acquisition device, comprising:
a charging parameter obtaining unit, configured to obtain a charging parameter during a charging state, where the charging state includes one or more times of continuous charging, and the charging parameter includes charging energy and an SOC variation value;
a discharge parameter obtaining unit, configured to obtain a discharge parameter during a discharge state, where the discharge state includes one or more continuous discharges, and the discharge state ends when an SOC variation value during the discharge state is greater than a predetermined threshold value, and the discharge parameter includes a discharge energy and an SOC variation value;
the weight obtaining unit is used for respectively obtaining a first weight value during the charging state, a second weight value during the discharging state and a third weight value from the end of the discharging state to the beginning of the next working condition, and the weight values are determined by the standing time of the storage battery from the last working condition to the current working condition and the SOC change value;
and the calculating unit is used for obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the discharge parameter and the charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
Optionally, the calculating unit is further configured to obtain the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
Optionally, the charging state includes a plurality of times of continuous charging, and the first weight value is a product of weight values at each time of continuous charging; or,
the discharge state includes a plurality of times of continuous discharge, and the second weight value is a product of weight values at each time of continuous discharge.
An energy efficiency harvesting apparatus for an electric vehicle, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs comprising instructions for:
judging the working state and the state identification of the storage battery each time the BMS is awakened;
when the working state is charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the current time during the charging period, wherein the charging weight value of the current time is the first weight value, the charging parameter of the current time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value;
when the working state is charging and the state identification is a second numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time; superposing the charging parameter and the first charging parameter to obtain an updated first charging parameter, and multiplying the charging weight value and the first weight value to obtain an updated first weight value;
when the working state is discharging and the state identifier is a second numerical value, obtaining a discharging parameter and a discharging weight value during discharging, wherein the discharging parameter comprises discharging energy and a discharging SOC change value, the discharging weight value is the second weight value, the discharging parameter is a first discharging parameter, and the state identifier is set to be a third numerical value;
when the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if so, obtaining a discharging parameter and a discharging weight value in the discharging period, overlapping the discharging parameter and the first discharging parameter to obtain an updated first discharging parameter, and multiplying the discharging weight value and a second weight value to obtain an updated second weight value; if not, acquiring a third weight value, calculating energy efficiency, and setting the state identifier as a first numerical value;
when the working state is charging and the state identifier is a third numerical value, judging whether the SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if not, obtaining a third weight value, calculating energy efficiency, and setting the state identifier as the first numerical value;
the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value; the energy efficiency calculation includes: and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
According to the method and the device for acquiring the energy efficiency of the electric automobile, provided by the embodiment of the invention, the weight value is acquired when the working condition is changed every time, the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value, the standing time of the storage battery and the SOC change value in the standing period can correct the charging parameter or the discharging parameter of the battery, the charging parameter or the discharging parameter is more accurately represented, and further, the energy efficiency under the average weight is acquired according to the ratio of the discharging energy to the charging energy under the unit SOC change value. The method can more accurately acquire the energy efficiency of the electric automobile, and is particularly suitable for dynamically reflecting the energy efficiency of the electric automobile in real time after the electric automobile is used.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flowchart of a method for acquiring energy efficiency of an electric vehicle according to a first embodiment of the invention;
FIG. 2 is a graph illustrating a relationship between weight values and KOT according to an embodiment of the invention;
FIG. 3 is a flowchart illustrating a method for obtaining energy efficiency of an electric vehicle according to a second embodiment of the invention;
fig. 4 is a schematic structural diagram of an apparatus for acquiring energy efficiency of an electric vehicle according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a flowchart of a method for obtaining energy efficiency of an electric vehicle according to an embodiment of the present invention is shown, in which a charging parameter during a primary charging state, a discharging parameter during a primary discharging state, and a weight value from a discharging state to a start of another working condition are sequentially obtained, the weight value is obtained at the start of each working condition, the weight value is determined by a standing time of a storage battery from a previous working condition to a current working condition and an SOC variation value, and the charging state, the discharging state, and another working condition from the discharging state are continuous, so that the weight value can correct the parameter of the previous working condition, more accurately represent a charging or discharging parameter, and further, the energy efficiency under an average weight is obtained according to a ratio of discharging energy to charging energy under a unit SOC variation value.
In addition, in the embodiment of the invention, the working condition refers to the working condition of the storage battery, and can be a charging or discharging working condition.
The method for obtaining the energy efficiency of the electric vehicle will be described in detail below with reference to specific embodiments.
First, in step S01, the charge parameter and the first weight value during the primary state of charge are obtained.
When the electric automobile is charged, the charging can be completed once, or the charging can be interrupted for a period of time after once, and then the charging is continued and completed for multiple times, so that the charging state period can comprise one-time continuous charging or multiple-time continuous charging.
The charging parameters include charging energy obtained by integrating the product of voltage and current at the start of charging and SOC variation value obtained by estimating with a battery modelI.e. △ SOCchg＝SOCE-SOCSWherein, △ SOCchgFor the value of change of SOC during charging, SOCEIs the SOC value at the end of charging, SOCSSOC value at the start of charging. When a plurality of times of continuous charging are included during the state of charge, the charging energy is the sum of the charging energies during each continuous charging, and the SOC variation value is the sum of the SOC variation values during each continuous charging.
The first weight value is determined by the standing time from the last working condition to the current working condition of the storage battery and the SOC change value, for the charging state, the standing time is the time interval from the end of the last working condition of the storage battery to the beginning of the charging state, and the SOC change value is the absolute value of the difference value between the SOC value at the end of the last working condition and the SOC value at the beginning of the charging state. Specifically, the first weight value W01 may be determined by the following formula (1):
wherein KOT is the standing time, SOCEIs the SOC value at the end of the last operating condition, SOCS' is the SOC value at the beginning of the current working condition. For different batteries and empirical values, the parameters among them are: t1, T2, a1, a2, a3 and b1, b2 may all be different.
In a specific embodiment, the expression of the first weighting value W01 is as follows, and the relationship diagram is shown with reference to fig. 2:
in order to better correct the weight value during the charging state when the charging state includes a plurality of times of continuous charging, the weight value during each time of continuous charging may be obtained at the beginning of each time of continuous charging, and the final first weight value is the product of the weight values during each time of continuous charging, and in a specific embodiment, when two times of continuous charging are performed, the weight value at the beginning of the first time of continuous charging is W01-1, and the weight value at the beginning of the second time of continuous charging is W01-2, the final first weight value W01 is W01-1W 01-2.
Next, in step S02, the discharge parameter and the second weight value during the primary discharge state are obtained.
The discharging state of the electric vehicle, that is, the state of the storage battery outputting electric energy, may be outputting electric energy to drive the electric vehicle, or outputting electric energy to drive vehicle-mounted devices, such as an air conditioner.
The discharge parameters comprise discharge energy and SOC variation value △ SOCDchg，△SOCDchgIn synchronization with the description of the charging parameter in step S01, the discharge energy may be obtained by integrating the product of the voltage and the current at the start of discharge, the SOC variation is the difference between the SOC at the end of discharge and the SOC at the start of discharge, and when the discharge state includes a plurality of consecutive discharges, the discharge energy is the sum of the discharge energy during each consecutive discharge, and the SOC variation is the sum of the SOC variation during each consecutive discharge.
After the storage battery is fully charged or charged to a certain electric quantity, the storage battery is usually discharged continuously for multiple times, and the storage battery is in a static state between each continuous discharge. When the SOC variation value is larger than a preset threshold value after one continuous discharge, the discharge is considered as an effective discharge state period, and the discharge parameter of the discharge is the discharge parameter of the discharge state period; and if the SOC change value is smaller than the preset threshold value, continuing to obtain the discharge parameters in the next discharge until the accumulated SOC change value in the multiple continuous discharge periods is larger than the preset threshold value, and considering that the discharge state is finished.
Similarly, the second weight value is determined by the standing time from the last operating condition to the current operating condition of the storage battery and the SOC variation value, wherein for the discharging state, the standing time is the time interval from the end of the last operating condition of the storage battery to the beginning of the discharging state, and the SOC variation value is the absolute value of the difference between the SOC value at the end of the last operating condition and the SOC value at the beginning of the charging state. Specifically, the second weight value W02 may be determined by formula (1) in step S01.
In order to better correct the weight value during the discharge state period when the discharge state period includes a plurality of times of continuous discharges, the weight value during each time of continuous discharge may be obtained at the beginning of each time of continuous discharge, and the final second weight value is the product of the weight values during each time of continuous discharge, and in a specific embodiment, if two times of continuous discharges have elapsed, the weight value at the beginning of the first time of continuous discharge is W02-1, and the weight value at the beginning of the second time of continuous discharge is W02-2, the final second weight value W02 is equal to W02-1 × W02-2.
In step S03, a third weight value is obtained from the end of the discharge state to the start of the next operating condition.
After the discharging state is finished, that is, after the SOC variation value during the discharging state is greater than the predetermined threshold, another operating condition starts again, and the other operating condition may be still in the discharging state or may be in the charging state. Specifically, the second weight value W03 may be determined by formula (1) in step S01.
Then, in step S04, the energy efficiency is calculated.
In the embodiment of the present invention, according to a ratio of discharge energy to charge energy in a unit SOC variation, energy efficiency under a current weight is obtained by the discharge parameter and the charge parameter, and the current weight is an average value of a first weight value, a second weight value, and a third weight value.
For convenience of description, the discharge energy at the unit SOC variation value is referred to as a discharge energy rate △ E1, and the charge energy at the unit SOC variation value is referred to as a charge energy rate △ E2, and the specific formula is expressed as follows:
△E1＝EDchg/△SOCDchg(2)
△E2＝(Echg/△SOCchg)*Ef(3)
wherein E isDchgFor discharge energy during discharge state, △ SOCDchgIs the value of the change in SOC during the discharge state, EchgFor discharge energy during the State of Charge, △ SOCchgIs the value of the change in SOC during the state of charge, EfTo charge the charging efficiency of the motor.
Current weight W ═ (W01+ W02+ W03)/3 (4)
Wherein, W01, W02, W03 are the first weight value, the second weight value and the third weight value respectively.
Then, the energy efficiency under the current weight is:
EngEfy＝△E1/△E2*W (5)
the energy efficiency under the current weight can be used as the energy efficiency of the current time, and the energy efficiency can be further weighted with the energy efficiency of the previous time, the calculation result of the energy efficiency of the previous time is fully considered, and the weighted energy efficiency is used as the energy efficiency of the current time.
Specifically, the weighted energy efficiency may be obtained according to the energy efficiency under the current weight and the previous energy efficiency. In this way, the calculated value of the previous energy efficiency may be considered and weighted, so that the calculation result of the energy efficiency of this time is more accurate, in a specific calculation, the weight of the previous energy efficiency may be set to 1 or other values, in a preferred embodiment, the weight of the previous energy efficiency may be set to 1, and then, the calculation formula of the energy efficiency is specifically as follows:
EngEfy＝(△E1/△E2*W+EngEfy’)/(W+1)
wherein, EngEfy' is the energy efficiency obtained by the previous calculation and is recorded as the previous energy efficiency.
In the method, the weight value is obtained when each working condition is changed, the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value, the standing time of the storage battery and the SOC change value during the standing period can correct the charging parameter or the discharging parameter of the storage battery, the change of the vehicle condition is reflected indirectly, the charging or discharging parameter is represented more accurately, and further the energy efficiency under the average weight is obtained according to the ratio of the discharging energy to the charging energy under the unit SOC change value.
The method can more accurately acquire the energy efficiency of the electric automobile, rather than only defining a fixed energy efficiency value when leaving the factory, can dynamically consider the change of the energy efficiency along with the automobile condition, and is particularly suitable for dynamically reflecting the energy efficiency of the electric automobile in real time after the electric automobile is used. An embodiment in which the method is applied to the driving of an electric vehicle, in which energy efficiency can be dynamically embodied, will be described in detail below. In the following description, the same portions as those in the above-described embodiments will not be described again.
In electric automobile, BMS (Battery Management System) is the core of Battery Management, and various parameters and states of Battery all can be monitored and embodied through BMS, and the operating mode to the Battery is exactly discharge and two kinds of states of charging, then is the dormancy state in other times, and the Battery is out of work promptly and is in the state of stewing, and the Battery is from dormancy to charging or from dormancy to discharging, and BMS then awakens up, and at this moment, can judge the operating condition of Battery through BMS. In the embodiment, the corresponding operation in each working condition is determined through the state identifier and the working state of the storage battery when the BMS wakes up, after one calculation is completed, the state identifier is set to be in an initial state, and one round of data acquisition and calculation is performed again, so that the energy efficiency of the electric automobile is reflected dynamically in real time.
Referring to fig. 3, at S101, the determination of the operating state of the battery and the status flag is performed every time the BMS wakes up.
The state flag is used to represent the state of acquired data in one energy efficiency calculation, and may be represented by a numerical value, and in a specific example, the state flag is sta, and when sta is 0, it represents an initial state, and data acquisition is not performed yet, when sta is 1, it represents that acquisition of charge state data is performed, and when sta is 2, it represents that acquisition of discharge state data is performed, and after all necessary data is acquired, the state flag is reset to the initial state, and acquisition and calculation of energy flag data are performed next time.
S102, after the BMS is awakened, when the working state of the storage battery is judged to be charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time, wherein the charging weight value of the time is the first weight value, the charging parameter of the time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value.
At this moment, the working state is charging, the state identifier is a first numerical value, a new round of data acquisition and energy efficiency calculation are required, the charging parameter during the charging period is acquired, the charging parameter and the charging weight value are respectively recorded as a first charging parameter and a first weight value, the first charging parameter comprises first charging energy and a first charging SOC value, and meanwhile, the state identifier is set to be a second numerical value.
S103, when the BMS is awakened again, if the working state is still charging and the state mark is a second numerical value, acquiring the charging parameter and the charging weight value of the time during the charging period of the time; and multiplying the current charging weight value by the first weight value to obtain the updated first weight value.
At the moment, the storage battery still needs to be charged, then, the charging parameter and the charging weight value in the current charging period are continuously obtained, meanwhile, the first charging parameter and the first weight value are updated, the current charging parameter and the first charging parameter are overlapped, namely the first charging energy is overlapped with the current charging energy, the first charging SOC value is overlapped with the current charging SOC value, and the overlapped first charging energy and the first charging SOC value are used as the first charging energy and the first charging SOC value again; and multiplying the first weight value by the charging weight value, and taking the multiplied value as the first weight value again. And if more times of charging exist, repeating the steps to obtain the final first charging parameter and the first weight value. In this way, the continuity and validity of the acquired data during charging can be ensured.
And S104, when the BMS is awakened, if the working state is discharging and the state identifier is a second numerical value, acquiring a discharging parameter and a discharging weight value of the time during the discharging period of the time, wherein the discharging parameter comprises discharging energy and a discharging SOC (state of charge) change value, the discharging weight value of the time is the second weight value, the discharging parameter of the time is a first discharging parameter, and the state identifier is set to be a third numerical value.
At this time, it is indicated that the working state is converted into discharge, data during discharge needs to be acquired, a discharge parameter during the discharge period is acquired, the discharge parameter and the discharge weight value are respectively recorded as a first discharge parameter and a second weight value, the first discharge parameter includes a first discharge energy and a first discharge SOC value, and meanwhile, the state identifier is set to be a third value.
S105, when the BMS is awakened again, if the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value, if so, acquiring a discharging parameter and a discharging weight value during the discharging period, overlapping the discharging parameter and the first discharging parameter to acquire an updated first discharging parameter, and multiplying the discharging weight value and the second weight value to acquire an updated second weight value; if not, acquiring a third weight value, calculating the energy efficiency, and setting the state identifier as a first numerical value.
Generally, after charging, the electric vehicle travels a plurality of times corresponding to a plurality of discharge states of the storage battery, and in the present embodiment, whether data acquisition during the discharge state of this time has been completed is determined by whether the discharge SOC variation value is greater than a threshold value.
If the discharge SOC variation value is smaller than the threshold value, the first discharge parameter and the second weight value are accumulated again, namely the first discharge energy is superposed with the discharge energy, the first discharge SOC value is superposed with the discharge SOC value, the superposed discharge SOC value is used as the first discharge energy and the first discharge SOC value again until the discharge SOC variation value is larger than the threshold value, and the final first discharge parameter and the final second weight value are obtained. In this way, the continuity and validity of the acquired data during discharge can be ensured.
And S106, if the value is larger than the threshold value, only the third weight value is acquired, so that data required for calculating the energy efficiency are acquired, the state identifier can be set to be the first value, and the next data acquisition and calculation is ready to be performed again. The first, second and third weight values are determined by the standing time of the battery from the previous working condition to the current working condition and the SOC variation value, and the specific description of obtaining the weight values is the same as that of the above embodiment, which is not repeated herein.
And during energy efficiency calculation, according to the ratio of the discharge energy to the charge energy under the unit SOC variation value, obtaining the energy efficiency under the current weight through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
Further, the weighted energy efficiency can be obtained according to the energy efficiency under the current weight and the previous energy efficiency, the weighted energy efficiency is used as the current energy efficiency, and the numerical value of the current energy efficiency can be stored and used as the previous energy efficiency in the next energy efficiency calculation. The specific description of the energy efficiency calculation is the same as that described in the above embodiments, and is not repeated here.
In this embodiment, if there are other determination results, the data acquisition and calculation may be abandoned, the state identifier is set to the first value, that is, the state is returned to the initial state, and the data acquisition and calculation is performed again; the data acquisition may be resumed. For example, when the status flag is the first value and the operating status is discharging, the data may be discarded; for example, when the state flag is the third value and the operating state is charging, and the SOC variation value in the first discharge parameter is smaller than the predetermined threshold, the discharge time is too short, the discharge parameter is not ideal, and if the energy efficiency is calculated, the calculation result is not accurate enough, and at this time, the discharge parameter obtained during the discharge state may be discarded, and the discharge parameter obtained during the next discharge may be obtained. The present invention is not limited to this embodiment, and various processes may be performed according to specific situations.
The above describes in detail the method for acquiring energy efficiency of an electric vehicle according to an embodiment of the present invention, and in addition, the present invention provides a corresponding acquiring device, and referring to fig. 4, the acquiring device for energy efficiency of an electric vehicle includes:
a charging parameter obtaining unit 210 configured to obtain a charging parameter during a charging state, where the charging state includes one or more continuous charging, and the charging parameter includes charging energy and an SOC variation value;
a discharge parameter obtaining unit 220, configured to obtain a discharge parameter during a discharge state, where the discharge state includes one or more continuous discharges, and the discharge state ends when an SOC variation value during the discharge state is greater than a predetermined threshold value, and the discharge parameter includes a discharge energy and an SOC variation value;
a weight obtaining unit 230, configured to obtain a first weight value during the charging state, a second weight value during the discharging state, and a third weight value from the end of the discharging state to the start of a next operating condition, where the weight values are determined by a standing time of the battery from a previous operating condition to a current operating condition and an SOC variation value;
the calculating unit 240 is configured to obtain energy efficiency under a current weight according to a ratio of discharge energy to charge energy under a unit SOC variation value, through the discharge parameter and the charge parameter, where the current weight is an average value of the first weight value, the second weight value, and the third weight value.
Further, the calculating unit 240 is further configured to obtain the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
Further, the charging state includes a plurality of times of continuous charging, and the first weight value is a product of weight values at each time of continuous charging; or,
the discharge state includes a plurality of times of continuous discharge, and the second weight value is a product of weight values at each time of continuous discharge.
In addition, the invention also provides an acquiring device of the energy efficiency of the electric vehicle, which comprises a memory and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs are configured to be executed by one or more processors and comprise instructions for:
judging the working state and the state identification of the storage battery each time the BMS is awakened;
when the working state is charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the current time during the charging period, wherein the charging weight value of the current time is the first weight value, the charging parameter of the current time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value;
when the working state is charging and the state identification is a second numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time; superposing the charging parameter and the first charging parameter to obtain an updated first charging parameter, and multiplying the charging weight value and the first weight value to obtain an updated first weight value;
when the working state is discharging and the state identifier is a second numerical value, obtaining a discharging parameter and a discharging weight value during discharging, wherein the discharging parameter comprises discharging energy and a discharging SOC change value, the discharging weight value is the second weight value, the discharging parameter is a first discharging parameter, and the state identifier is set to be a third numerical value;
when the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if so, obtaining a discharging parameter and a discharging weight value in the discharging period, overlapping the discharging parameter and the first discharging parameter to obtain an updated first discharging parameter, and multiplying the discharging weight value and a second weight value to obtain an updated second weight value; if not, acquiring a third weight value, calculating energy efficiency, and setting the state identifier as a first numerical value;
when the working state is charging and the state identifier is a third numerical value, judging whether the SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if not, obtaining a third weight value, calculating energy efficiency, and setting the state identifier as the first numerical value;
the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value; the energy efficiency calculation includes: and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, they are described in a relatively simple manner, and reference may be made to some descriptions of method embodiments for relevant points. The above-described system embodiments are merely illustrative, wherein the modules or units described as separate parts may or may not be physically separate, and the parts displayed as modules or units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Claims (9)
1. The method for acquiring the energy efficiency of the electric automobile is characterized by comprising the following steps:
sequentially obtaining a charging parameter and a first weight value during a primary charging state, a discharging parameter and a second weight value during a primary discharging state, and a third weight value from the end of the discharging state to the beginning of the next working condition; wherein the state of charge comprises one or more consecutive charges, and the charging parameters comprise a charging energy and a SOC variation value; the discharge state comprises one or more times of continuous discharge, the discharge state is finished when the SOC variation value in the discharge period is larger than a preset threshold value, and the discharge parameters comprise discharge energy and the SOC variation value; the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value;
and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the discharge parameter and the charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
2. The acquisition method according to claim 1, further comprising: and obtaining the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
3. The acquisition method according to claim 1, wherein the charge state includes a plurality of times of continuous charging, and the first weight value is a product of weight values at each time of continuous charging; or,
the discharge state includes a plurality of times of continuous discharge, and the second weight value is a product of weight values at each time of continuous discharge.
4. The method for acquiring the energy efficiency of the electric automobile is characterized by comprising the following steps:
judging the working state and the state identification of the storage battery each time the BMS is awakened;
when the working state is charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the current time during the charging period, wherein the charging weight value of the current time is the first weight value, the charging parameter of the current time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value;
when the working state is charging and the state identification is a second numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time; superposing the charging parameter and the first charging parameter to obtain an updated first charging parameter, and multiplying the charging weight value and the first weight value to obtain an updated first weight value;
when the working state is discharging and the state identifier is a second numerical value, obtaining a discharging parameter and a discharging weight value during discharging, wherein the discharging parameter comprises discharging energy and a discharging SOC change value, the discharging weight value is the second weight value, the discharging parameter is a first discharging parameter, and the state identifier is set to be a third numerical value;
when the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if so, obtaining a discharging parameter and a discharging weight value in the discharging period, overlapping the discharging parameter and the first discharging parameter to obtain an updated first discharging parameter, and multiplying the discharging weight value and a second weight value to obtain an updated second weight value; if not, acquiring a third weight value, calculating energy efficiency, and setting the state identifier as a first numerical value;
when the working state is charging and the state identifier is a third numerical value, judging whether the SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if not, obtaining a third weight value, calculating energy efficiency, and setting the state identifier as the first numerical value;
the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value; the energy efficiency calculation includes: and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
5. The acquisition method according to claim 4, wherein the calculation of the energy efficiency further comprises: and obtaining the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
6. An apparatus for obtaining energy efficiency of an electric vehicle, comprising:
a charging parameter obtaining unit, configured to obtain a charging parameter during a charging state, where the charging state includes one or more times of continuous charging, and the charging parameter includes charging energy and an SOC variation value;
a discharge parameter obtaining unit, configured to obtain a discharge parameter during a discharge state, where the discharge state includes one or more continuous discharges, and the discharge state ends when an SOC variation value during the discharge state is greater than a predetermined threshold value, and the discharge parameter includes a discharge energy and an SOC variation value;
the weight obtaining unit is used for respectively obtaining a first weight value during the charging state, a second weight value during the discharging state and a third weight value from the end of the discharging state to the beginning of the next working condition, and the weight values are determined by the standing time of the storage battery from the last working condition to the current working condition and the SOC change value;
and the calculating unit is used for obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the discharge parameter and the charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
7. The apparatus of claim 6, wherein the computing unit is further configured to obtain the weighted energy efficiency according to the energy efficiency under the current weight and the previous energy efficiency.
8. The apparatus of claim 6, wherein the charge state comprises a plurality of consecutive charges, and wherein a first weight value is a product of weight values for each consecutive charge; or,
the discharge state includes a plurality of times of continuous discharge, and the second weight value is a product of weight values at each time of continuous discharge.
9. An apparatus for obtaining energy efficiency of an electric vehicle, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs configured to be executed by the one or more processors comprise instructions for:
judging the working state and the state identification of the storage battery each time the BMS is awakened;
when the working state is charging and the state identifier is a first numerical value, acquiring a charging parameter and a charging weight value of the current time during the charging period, wherein the charging weight value of the current time is the first weight value, the charging parameter of the current time is the first charging parameter, and the state identifier is set to be a second numerical value, and the charging parameter comprises charging energy and a charging SOC variation value;
when the working state is charging and the state identification is a second numerical value, acquiring a charging parameter and a charging weight value of the time during the charging period of the time; superposing the charging parameter and the first charging parameter to obtain an updated first charging parameter, and multiplying the charging weight value and the first weight value to obtain an updated first weight value;
when the working state is discharging and the state identifier is a second numerical value, obtaining a discharging parameter and a discharging weight value during discharging, wherein the discharging parameter comprises discharging energy and a discharging SOC change value, the discharging weight value is the second weight value, the discharging parameter is a first discharging parameter, and the state identifier is set to be a third numerical value;
when the working state is discharging and the state mark is a third numerical value, judging whether a discharging SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if so, obtaining a discharging parameter and a discharging weight value in the discharging period, overlapping the discharging parameter and the first discharging parameter to obtain an updated first discharging parameter, and multiplying the discharging weight value and a second weight value to obtain an updated second weight value; if not, acquiring a third weight value, calculating energy efficiency, and setting the state identifier as a first numerical value;
when the working state is charging and the state identifier is a third numerical value, judging whether the SOC variation value in the first discharging parameter is smaller than a preset threshold value or not, if not, obtaining a third weight value, calculating energy efficiency, and setting the state identifier as the first numerical value;
the weight value is determined by the standing time of the storage battery from the previous working condition to the current working condition and the SOC change value; the energy efficiency calculation includes: and obtaining the energy efficiency under the current weight according to the ratio of the discharge energy to the charge energy under the unit SOC variation value and through the first discharge parameter and the first charge parameter, wherein the current weight is the average value of the first weight value, the second weight value and the third weight value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710806023.5A CN109471034B (en) | 2017-09-08 | 2017-09-08 | Method and device for acquiring energy efficiency of electric automobile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710806023.5A CN109471034B (en) | 2017-09-08 | 2017-09-08 | Method and device for acquiring energy efficiency of electric automobile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109471034A true CN109471034A (en) | 2019-03-15 |
| CN109471034B CN109471034B (en) | 2020-11-03 |
Family
ID=65657865
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710806023.5A Active CN109471034B (en) | 2017-09-08 | 2017-09-08 | Method and device for acquiring energy efficiency of electric automobile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109471034B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117110903A (en) * | 2023-10-23 | 2023-11-24 | 羿动新能源科技有限公司 | Rationality judging method for SOC of power battery |
| CN117289158A (en) * | 2023-11-22 | 2023-12-26 | 潍柴新能源动力科技有限公司 | Battery SOC determination method and device, storage medium and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130110428A1 (en) * | 2011-10-26 | 2013-05-02 | Industrial Technology Research Institute | Method And System For Estimating A Capacity Of A Battery |
| CN103802675A (en) * | 2014-02-20 | 2014-05-21 | 安徽江淮汽车股份有限公司 | Detecting method and system for remaining mileage of electric automobile |
| CN105406532A (en) * | 2015-11-30 | 2016-03-16 | 北京新能源汽车股份有限公司 | Electric vehicle and method and device for detecting available energy of battery of electric vehicle |
| CN105467323A (en) * | 2015-03-19 | 2016-04-06 | 万向A一二三系统有限公司 | Method for detecting the available traveling distance of electric vehicle power battery |
| CN106405421A (en) * | 2015-07-27 | 2017-02-15 | 中兴通讯股份有限公司 | Battery state-of-charge (SOC) value evaluation method and device |
-
2017
- 2017-09-08 CN CN201710806023.5A patent/CN109471034B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130110428A1 (en) * | 2011-10-26 | 2013-05-02 | Industrial Technology Research Institute | Method And System For Estimating A Capacity Of A Battery |
| CN103802675A (en) * | 2014-02-20 | 2014-05-21 | 安徽江淮汽车股份有限公司 | Detecting method and system for remaining mileage of electric automobile |
| CN105467323A (en) * | 2015-03-19 | 2016-04-06 | 万向A一二三系统有限公司 | Method for detecting the available traveling distance of electric vehicle power battery |
| CN106405421A (en) * | 2015-07-27 | 2017-02-15 | 中兴通讯股份有限公司 | Battery state-of-charge (SOC) value evaluation method and device |
| CN105406532A (en) * | 2015-11-30 | 2016-03-16 | 北京新能源汽车股份有限公司 | Electric vehicle and method and device for detecting available energy of battery of electric vehicle |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117110903A (en) * | 2023-10-23 | 2023-11-24 | 羿动新能源科技有限公司 | Rationality judging method for SOC of power battery |
| CN117110903B (en) * | 2023-10-23 | 2024-01-30 | 羿动新能源科技有限公司 | Rationality judging method for SOC of power battery |
| CN117289158A (en) * | 2023-11-22 | 2023-12-26 | 潍柴新能源动力科技有限公司 | Battery SOC determination method and device, storage medium and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109471034B (en) | 2020-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107271905B (en) | Battery capacity active estimation method for pure electric vehicle | |
| JP6197479B2 (en) | Power storage system and method for estimating full charge capacity of power storage device | |
| CN110549900B (en) | Parameter updating method and device for electric automobile and power battery after standing | |
| EP3944399B1 (en) | Battery management device, battery management method, and electric power storage system | |
| JP3807630B2 (en) | Method and apparatus for reducing memory effect of storage battery | |
| CN103625303B (en) | Electric motor car and the online battery capacity estimation method of electric motor car | |
| CN106814329A (en) | A kind of battery SOC On-line Estimation method based on double Kalman filtering algorithms | |
| CN108072844A (en) | A kind of Vehicular dynamic battery available power evaluation method | |
| JP2008134060A (en) | Storage device abnormality detection device, storage device abnormality detection method, and abnormality detection program thereof | |
| CN104931882A (en) | Power battery capacity correction method and apparatus | |
| DE69936991T2 (en) | Control method for battery charging of an electric vehicle | |
| JP3376832B2 (en) | Battery charge / discharge power calculation method | |
| CN114325432B (en) | Method and device for acquiring battery capacity, storage medium and server | |
| US9499066B2 (en) | Method for determining a charge acceptance, and method for charging a rechargeable battery | |
| US9371006B2 (en) | Method and device for the optimized recharging of an electric battery | |
| CN105406532A (en) | Electric vehicle and method and device for detecting available energy of battery of electric vehicle | |
| CN104656021A (en) | Method and device for predicting remaining capacity of battery | |
| CN106646262A (en) | Power battery capacity estimation method, power battery capacity estimation system, and electric vehicle | |
| US20140217993A1 (en) | Method and device for optimized recharging of an electric battery | |
| CN105353312A (en) | Prediction method of power battery SOC | |
| CN110174623B (en) | SOC calibration method for battery of energy storage power station | |
| CN109471034B (en) | Method and device for acquiring energy efficiency of electric automobile | |
| CN112810600A (en) | Power control method and system, vehicle, and storage medium | |
| CN112630661B (en) | Battery state of charge (SOC) estimation method and device | |
| JP4304923B2 (en) | Secondary battery remaining capacity estimating apparatus and remaining capacity estimating method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |