CN111890986B - Method for estimating residual charging time of power battery based on self-updatable data interpolation - Google Patents
Method for estimating residual charging time of power battery based on self-updatable data interpolation Download PDFInfo
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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
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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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
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
A method for estimating the residual charging time of a power battery based on self-updatable data interpolation is characterized in that the residual charging time with the environment temperature Te and the residual electric quantity SOC as dimensions is obtained through experiments and is used as an original data table A; meanwhile, a three-dimensional data table with dimensions of residual electric quantity SOC, environment temperature Te and battery pack characteristic temperature Tc is used as a battery internal temperature compensation data table B, and error compensation values are obtained and updated in an experiment or actual use process; and in the actual use process, data reading interpolation calculation is carried out according to the current working condition, the time required by full charge of the battery is estimated, and countdown is the remaining charging time of the battery. The invention bypasses complex theoretical calculation, obtains the charging remaining time from the historical empirical value, and carries out compensation updating on the historical empirical value according to the actual charging time, thereby gradually eliminating errors, improving the estimation precision, and having simple and reliable method.
Description
Technical Field
The invention belongs to a charging technology of a power battery of a new energy automobile.
Background
Estimation of the remaining charging time of the power battery is an important function of a power battery management system, and how to provide the charging time required by the electric vehicle to a user more accurately becomes an important issue to be solved by the battery management system. However, due to the complexity of the working conditions of the power battery and the complexity of the chemical and physical characteristics of the power battery, it is very troublesome to summarize and construct an accurate and simple model to calculate the charging remaining time, and even if the unexpected situations occurring in the charging process are not considered, such as the charging pile cannot respond to the charging current request, the theoretical model is difficult to accurately estimate the charging time, because the changes of temperature rise, battery polarization and the like in the charging process, especially the quick charging process, of the power battery are difficult to estimate, or extremely complicated theoretical model calculation is required.
Disclosure of Invention
The invention aims to provide a method for estimating the residual charging time of a power battery based on self-updating data interpolation, which can bypass complicated theoretical calculation and realize accurate estimation of the charging time by acquiring and recording the empirical value of historical charging time and then finding out the required charging time by searching the empirical value corresponding to the current temperature and the charge capacity of the battery in a specific environment.
When the same battery is left standing for a long enough time (the polarization inside the battery is eliminated) under the condition of the same residual capacity, the same external temperature and the same internal temperature, the time for fully charging the battery is fixed or the change is small. Therefore, only through experiments or historical data, an empirical data table is obtained, when data reading interpolation calculation is carried out according to the current working condition in the actual use process, the time required by full charge of the battery can be accurately estimated, and the countdown is the time for residual charge of the battery. Certainly, in actual use, the customer does not use the electric vehicle (battery) to stand for a period of time and then charge the electric vehicle, so an error compensation value is needed, and the error compensation value can be obtained and updated through experiments or in the actual use process.
Based on the above consideration, the present invention proposes the following method for estimating the remaining charge time of a power battery based on self-updatable data interpolation, which obtains the remaining charge time (two dimensions) with the environmental temperature Te and the remaining capacity SOC as dimensions through experiments, as an original data table a; meanwhile, a temperature compensation data table B in the battery is designed, and error compensation values can be obtained and updated in the experimental or actual use process; in the actual use process, data reading interpolation calculation is carried out according to the current working condition, the time required by full charge of the battery can be accurately estimated, and countdown is the time for residual charge of the battery. The method can realize accurate estimation of the charging time.
The method comprises the following steps:
(1) Acquiring the residual capacity SOC, the ambient temperature Te and the characteristic temperature Tc of the battery pack of the power battery and the used charging time t C ；
(2) Calculating the residual charging time t at the initial test moment R
t R ＝t A +t B -t C
Wherein t is A For the table lookup value, t, of the original data table A B For the table value, t, of the temperature-compensated data table B C Time used for charging;
the original data table A is a residual charging time original data table which is obtained through experiments and takes the environmental temperature Te and the residual charge SOC as dimensions;
the temperature compensation data table B is a three-dimensional data table with dimensions of residual capacity SOC, ambient temperature Te and battery pack characteristic temperature Tc, the battery pack characteristic temperature Tc = monomer highest temperature (1-k) + k multiplied by monomer lowest temperature, wherein k is a characteristic temperature weighting coefficient;
(3) Calculating the error err of the remaining charge time
When the charging is completed, the error err of the remaining charging time is calculated as the time at which the actual charging is finished (i.e., fully charged), which is the charging time theoretically required minus the charging time taken when the actual charging is completed
Error err = t of remaining charging time R (charging end time) ＝t A +t B -t C
(4) Calculating the actual temperature compensation value t under the error err B ’
t B ’＝t B -p*err，
Wherein p is a filter coefficient, the smaller the 0-yarn-woven p < =1, the smaller p is, the more the error elimination needs to be updated, but the smaller the influence of accidental errors is;
(5) Updating t in the temperature compensation data table B B Value of the neighborhood
With q = t B ’/t B Calculating in equal proportion, and updating t in the temperature compensation data table B B Nearby values, i.e. multiplied by a factor q.
The above method is further described below:
remaining charging time t Rs Is a time-varying value, and the remaining charging time t is calculated by a formula and interpolation at the initial test time (SOC =30, tc =12.5, te = -12.5), for example R At 8.5 minutes, then t after 2 minutes R At 6.5 min, after 8.5 min t R At 0, we actually took 9 minutes to fill, and estimated 8.5 minutes at the beginning, then t was calculated according to (2.1) at this time R And 8.5-9= -0.5 minutes, which is the estimation error err, (2.2) is the calculation error. In practice this may be the compensation table t B If the value in the error is not reasonable, the customer may turn on an air conditioner or the charging pile may have a fault during charging, and the error is multiplied by a coefficient p (e.g. 0.1), and the error is considered to be only 0.5 × 0.1 minutes, and tB' =8.5- (-0.5) =8.55 minutes is used for charging. Table t considered for compensating interpolation B Should be scaled by a factor q = tB'/tB, i.e. multiplied by q =8.55/8.5. If 9 minutes are used for about 10 consecutive charges under the same conditions, the initial result of the interpolation calculation becomes 9 minutes, and if 8.5 minutes is recovered, the calculation result is recovered for 8.5 minutes after about 10 charges, thereby compensating for the error. The interpolation is a method commonly used in the engineering field and is not described in detail here.
It can be seen from the above method that the invention bypasses the complex theoretical calculation, obtains the charging remaining time from the historical empirical value, and performs compensation updating on the historical empirical value according to the actual charging time, thereby gradually eliminating the error, improving the estimation precision, and having simple and reliable method.
Drawings
FIG. 1 raw data Table A;
FIG. 2 temperature compensation data Table B;
fig. 3 updated temperature compensation data table B'.
Detailed Description
The method of the invention is described in the following in conjunction with the drawings only in a non-detailed manner:
a method for estimating the residual charge time of a power battery based on self-updatable data interpolation. Specifically, the remaining charging time (two-dimensional) with the environmental temperature Te and the remaining capacity SOC as dimensions is obtained through experiments and is used as an original data table a; there is also a battery internal temperature compensation data table B, which takes the remaining power SOC, the ambient temperature Te, and the battery pack characteristic temperature Tc (characteristic temperature = cell highest temperature (1-k) + k × cell lowest temperature) as dimensions (three dimensions). Then the
Remaining charging time t R ＝t A +t B -t C
Wherein t is A For the table lookup value of Table A, t B Is a look-up table value of Table B, t C The time used for charging.
When the charging is finished (full-charged),
remaining charging time t R ＝t A +t B -t C = err, err is estimation error
Then calculate
t B ’＝t B -p*err，
Where p is a filter coefficient (0 < -p < =1, the smaller p is, the more error elimination needs to be updated, but the smaller p is affected by accidental errors).
Then q = t B ’/t B Calculating in equal proportion, and updating t in the temperature compensation data table B B Nearby values, i.e. multiplied by a factor q.
Example 1:
for ease of understanding, the following examples are given.
Initial conditions are obtained when a certain charge is started, with:
the current capacity of the battery is SOC =25, the ambient temperature is Te = -12.5 ℃, the highest monomer temperature is 18 ℃, the lowest monomer temperature is 12 ℃, and the characteristic temperature of the battery pack is Tc =18 × 0.5+12 × 0.5= -15 ℃ (k = 0.5).
Linear interpolation from the raw data table a (see figure 1),
t A ＝((50+10×0.75)-(40+4×0.75))×0.5+(40+4×0.75)＝50.25
linear interpolation from the raw data table B (see figure 2),
t B (Tc＝10)＝((9+1×0.75)-(8+2×0.75))×0.5+(8+2×0.75)＝9.625
t B (Tc＝15)＝((6+2×0.75)-(7+2×0.75))×0.5+(7+2×0.75)＝8
t B ＝[t B (Tc＝10)-t B (Tc＝15)]×0.5+t B (Tc＝15)＝8.8125
the total charging time (unit: minute)
t＝t A +t B ＝50.25+8.8125＝58.8375min
When charging is carried out for 30 minutes, the charging time is remained
t R ＝t A +t B -t C ＝58.8375-30＝28.8375min
When the charging is finished after 55 minutes, the error is estimated
err＝58.8375-55＝3.8375min
Taking the filter coefficient p =1,
q＝t B ’/t B ＝(t B -p×err)/t B ＝(t B -p×err)/t B ＝(8.8125-3.8375)/8.8125
≈0.56
then the temperature is compensated for t in the data table B B The nearby values (the values of the non-asterisk portions) are multiplied by the coefficient q to be updated, resulting in an updated temperature compensation data table B', as shown in fig. 3.
It should be noted that any data in the above embodiments are only for illustrating the implementation process of the method, and the contents in the data table are not specifically specified in this patent.
Claims (1)
1. A method for estimating the residual charging time of a power battery based on self-updatable data interpolation is characterized in that the method is used for obtaining the residual charging time with the dimensions of environmental temperature Te and residual capacity SOC through experiments to serve as an original data table A; meanwhile, a three-dimensional data table with dimensions of the residual electric quantity SOC, the environment temperature Te and the battery pack characteristic temperature Tc is used as a battery internal temperature compensation data table B, and error compensation values are obtained and updated in the experiment or actual use process; in the actual use process, data reading interpolation calculation is carried out according to the current working condition, the time required by full charge of the battery is estimated, and countdown is the remaining charging time of the battery;
the method comprises the following steps:
(1) Acquiring the residual capacity SOC, the ambient temperature Te and the characteristic temperature Tc of the battery pack of the power battery and the used charging time t C ；
(2) Calculating the residual charging time t at the initial test moment R
t R ＝t A +t B -t C
Wherein t is A For the table value, t, of the table A of the original data B For the table value, t, of the temperature-compensated data table B C Time used for charging;
the original data table A is a residual charging time original data table which is obtained through experiments and takes the environmental temperature Te and the residual charge SOC as dimensions;
the temperature compensation data table B is a three-dimensional data table with dimensions of residual capacity SOC, ambient temperature Te and battery pack characteristic temperature Tc, the battery pack characteristic temperature Tc = the highest temperature (1-k) of the single body and k multiplied by the lowest temperature of the single body, wherein k is a characteristic temperature weighting coefficient;
(3) Calculating the error err of the remaining charging time
When the charging is completed, an error err of the remaining charging time is calculated as the time at the end of actual charging (i.e., full charge), which is the charging time theoretically required minus the charging time taken at the end of actual charging, which means full charge;
error err = t of remaining charging time R (charging end time) ＝t A +t B -t C ；
(4) Calculating the actual temperature compensation value t under the error err B ’
t B ’＝t B -p*err，
Wherein p is a filter coefficient, the smaller p < = 10, the more error elimination needs updating times, but the smaller the influence of accidental errors is;
(5) UpdatingT in temperature compensation data table B B Value of the neighborhood
With q = t B ’/t B Calculating in equal proportion, and updating t in the temperature compensation data table B B The nearby values are multiplied by a factor q.
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| CN112356737B (en) * | 2020-11-18 | 2022-05-27 | 上海英恒电子有限公司 | Battery charging management method and battery management system |
| CN113147507B (en) * | 2021-04-25 | 2022-03-25 | 北京新能源汽车股份有限公司 | Method and device for estimating residual charging time and electric vehicle |
| CN113484779B (en) * | 2021-06-28 | 2023-09-01 | 浙江吉利控股集团有限公司 | Method and device for estimating remaining charging time of battery |
| CN113777509B (en) * | 2021-08-31 | 2023-03-10 | 北汽福田汽车股份有限公司 | Method and device for estimating residual charging time of vehicle and vehicle |
| CN114019386B (en) * | 2021-11-03 | 2022-12-06 | 四川野马汽车股份有限公司 | Method and system for estimating charging remaining time of electric automobile |
| JP2023069401A (en) * | 2021-11-05 | 2023-05-18 | Fdk株式会社 | Battery bank unit, charging residual time calculation method and charging residual time calculation program |
| CN114355998B (en) * | 2021-12-17 | 2023-05-12 | 西安北方华创微电子装备有限公司 | Compensation parameter acquisition method and equipment for semiconductor heat treatment equipment |
| CN117465291B (en) * | 2023-12-27 | 2024-04-02 | 中航锂电（洛阳）有限公司 | Method for estimating electric quantity SOC of lithium iron phosphate battery hybrid vehicle and vehicle |
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