CN117368767A - Lithium battery state of charge estimation method and system based on ampere-hour integration method - Google Patents
Lithium battery state of charge estimation method and system based on ampere-hour integration method Download PDFInfo
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- CN117368767A CN117368767A CN202311289373.0A CN202311289373A CN117368767A CN 117368767 A CN117368767 A CN 117368767A CN 202311289373 A CN202311289373 A CN 202311289373A CN 117368767 A CN117368767 A CN 117368767A
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 170
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 170
- 238000000034 method Methods 0.000 title claims abstract description 102
- 230000010354 integration Effects 0.000 title claims abstract description 40
- XOFYZVNMUHMLCC-ZPOLXVRWSA-N prednisone Chemical compound O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 XOFYZVNMUHMLCC-ZPOLXVRWSA-N 0.000 claims description 13
- 238000007599 discharging Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 11
- 238000004364 calculation method Methods 0.000 description 10
- 238000012545 processing Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 8
- 238000012544 monitoring process Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 238000001914 filtration Methods 0.000 description 4
- 238000009499 grossing Methods 0.000 description 4
- 230000036541 health Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 2
- 230000001364 causal effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000000977 initiatory effect Effects 0.000 description 2
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
Classifications
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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
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/005—Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references
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Abstract
The invention relates to the technical field of lithium battery state of charge estimation, in particular to a lithium battery state of charge estimation method and a system based on an ampere-hour integration method, which are used for acquiring and storing lithium battery data information; estimating the charge state of the current lithium battery by utilizing an ampere-hour integration method and judging whether the current lithium battery is in a normal range or not; for the battery with normal running state, judging whether the requirements of available capacity calibration and residual capacity calibration are met, carrying out available capacity calibration and residual capacity calibration on the battery meeting the calibration requirements, and respectively judging the effectiveness of the available capacity calibration and the residual capacity calibration; the state of charge estimation of the lithium battery has very important significance for the use of the lithium battery, the state of charge estimation is carried out by an ampere-hour integration method, and the state parameters required by the battery operation can be known and the accuracy of the state of charge estimation can be improved by correcting the available capacity calibration and the residual capacity calibration of the battery respectively.
Description
Technical Field
The invention relates to the technical field of lithium battery state of charge estimation, in particular to a lithium battery state of charge estimation method and system based on an ampere-hour integration method.
Background
In recent years, environmental problems and energy problems are becoming serious, and the daily life of people is already affected. Electric vehicles require a safe, efficient battery as a power source. The lithium battery is used as an ideal power source of a new generation of electric vehicles because of the advantages of stable working voltage, high energy density and charging efficiency, low self-discharge rate, no memory, long service life and the like.
At present, the state of charge of a lithium battery is one of important parameters of a battery management system, and in research and development of an electric vehicle, accurately predicting the state of charge of the battery plays a vital role in playing the best performance of the electric vehicle and predicting the driving range of the electric vehicle, and has important significance in improving the service life of the battery and improving the safety performance. However, the state of charge of a lithium battery cannot be directly measured, and is affected by many factors such as the rate of charge and discharge, the aging degree of the battery, the internal resistance of the battery and the like, so that accurate and rapid measurement is difficult. How to realize accurate estimation of the remaining capacity of the battery becomes a difficulty to be overcome in the prior art to improve the maximum utilization rate of the lithium battery and continuously optimize the battery technology.
Therefore, a method and a system for estimating the state of charge of a lithium battery based on an ampere-hour integration method are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a lithium battery state of charge estimation method and system based on an ampere-hour integration method, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a lithium battery state of charge estimation system based on an ampere-hour integration method, the system comprising: the system comprises a data acquisition module, a database, a state of charge estimation module and a calibration module.
The output end of the data acquisition module is connected with the input end of the database; the output end of the database is connected with the input end of the state of charge estimation module; the output end of the state of charge is connected with the input end of the calibration module;
the data acquisition module is used for acquiring data information of the lithium battery;
the database is used for storing and managing all acquired data;
the state of charge estimation module is used for analyzing the running state of the lithium battery according to the acquired information, estimating the state of charge of the lithium battery and judging whether the state of charge of the lithium battery is in a normal range;
the calibration module is used for carrying out available capacity calibration and residual capacity calibration on the lithium battery and judging the effectiveness of the calibration.
Further, the data acquisition module comprises a lithium battery data acquisition unit and a monitoring data acquisition unit; the output ends of the data acquisition unit and the monitoring data acquisition unit are connected with the input end of the database; the lithium battery data acquisition unit is used for acquiring factory information of the lithium battery; the monitoring data acquisition unit is used for acquiring data information of the lithium battery in detection.
Further, the state of charge estimation module comprises a state analysis unit, a state of charge estimation unit and a range judgment unit; the output end of the database is connected with the input end of the state analysis unit; the output end of the state analysis unit is connected with the input end of the state of charge estimation unit; the output end of the charge state estimation unit is connected with the input end of the range judgment unit; the state analysis unit is used for analyzing the running state of the lithium battery according to the detection data and judging the running state of the current lithium battery; the charge state estimating unit is used for estimating the charge state of the current lithium battery by adopting an ampere-hour integration method according to the condition of the lithium battery; the range judging unit is used for analyzing the charge state of the normal lithium battery and judging whether the charge state of the current lithium battery is in the normal range.
Further, the calibration module comprises a lithium battery calibration start judging unit, an available capacity calibration judging unit, a residual capacity calibration judging unit and a residual capacity calibration judging unit; the output end of the range judging unit is connected with the input end of the calibration starting judging unit, and the calibration starting judging unit judges whether available capacity calibration or residual capacity calibration is required to be started or not; for determining whether an available capacity calibration or a remaining capacity calibration needs to be started; the output end of the calibration start judging unit is connected with the input end of the available capacity calibration unit and the input end of the residual capacity calibration unit, and is used for calibrating the available capacity and the residual capacity respectively, the available capacity calibration unit is used for carrying out calibration calculation on the available capacity, and the residual capacity calibration unit is used for carrying out calibration calculation on the residual capacity; the output end of the available capacity calibration unit is connected with the input end of the available capacity calibration judging unit, and the available capacity calibration judging unit is used for judging whether the available capacity calibration is successful or not; the output end of the residual capacity calibration unit is connected with the input end of the residual capacity calibration judging unit, and the residual capacity calibration judging unit is used for judging whether the residual capacity calibration is successful or not.
A lithium battery state of charge estimation method based on an ampere-hour integration method comprises the following steps:
z1: collecting and storing lithium battery data information;
z2: estimating the charge state of the current lithium battery by utilizing an ampere-hour integration method and judging whether the current lithium battery is in a normal range or not;
z3: and judging whether the requirements of the available capacity calibration and the residual capacity calibration are met for the battery which runs normally, carrying out the available capacity calibration and the residual capacity calibration on the battery which meets the requirements of the calibration, and respectively judging the validity of the available capacity calibration and the residual capacity calibration.
Further, step Z2 includes: and electrifying the lithium battery, measuring the voltage to obtain a linear relation between the voltage and time, and judging whether the current operation state of the lithium battery is normal or not based on the linear relation. The method comprises the steps of electrifying a lithium battery and measuring voltage to obtain a line diagram of the voltage and time, wherein if the line diagram has stable trend, the current lithium battery has good running state; if the line graph is in a descending trend, the current lithium battery running state is problematic, and measures such as replacement of the lithium battery are needed. Under the condition that the lithium battery is electrified, the voltage of the lithium battery is monitored in real time, whether the current running state of the lithium battery is good or not is judged through the linear relation between the voltage and time, the health state of the battery can be mastered in real time, and if the problem is found, the lithium battery can be replaced in time, so that the problem of the running state of the lithium battery is prevented from influencing the normal running of equipment.
Further, in step Z2: extracting information in a database, obtaining an initial state B0 of lithium battery charging, and calculating a current state of charge B of the lithium battery according to the following formula:
wherein C is E The method is characterized in that the method comprises the steps of representing rated capacity of a lithium battery, wherein I represents current of the lithium battery (current is negative in charging and current is positive in discharging), eta represents charging efficiency, estimating the state of charge of the current lithium battery by utilizing an ampere-hour integrating method, not considering action mechanism inside the battery, calculating total capacity of the inflow and outflow battery according to certain external characteristics of a system, such as current, time, temperature compensation and the like by integrating time and current and adding certain compensation coefficients, and the ampere-hour integrating method is widely applied to a battery management system at present. The main problem is that accumulated errors cannot be eliminated, such as lack of effective calibration, the more the errors will beTherefore, the invention further provides a method for calibrating the ampere-hour integration method aiming at the defects of the ampere-hour integration method, thereby reducing errors caused by the ampere-hour integration method.
Extracting the charge states of the conventional normal lithium batteries with the same charge and discharge times stored in the database, and obtaining a set D= { D of the charge states of the conventional n-time lithium batteries 1 ,D 2 ,...,D n By comparing to obtain the minimum value D of lithium battery charge state min And maximum value D max The range of the charge states of the conventional normal lithium batteries with the same charge and discharge times stored in the database is [ D ] min ,D max ]The method comprises the steps of carrying out a first treatment on the surface of the If B is [ D ] min ,D max ]Judging that the current state of charge of the lithium battery is normal and the battery state is good within the range; if B is not in [ D ] min ,D max ]And if the current lithium battery charge state is abnormal, reporting the fault to process. And judging whether the current state of charge of the lithium battery is abnormal or not by determining the range of the value of the state of charge of the normal lithium battery with the same condition stored in the previous database, so that the judging result is more effective, the calculation time of the system is reduced, and the running efficiency of the system is improved.
In the present invention, the calibration of the system is divided into two types, namely, remaining capacity calibration and usable capacity calibration, and the calibration is performed with respect to the numerator (remaining capacity) and denominator (usable capacity) in the SOC calculation, respectively.
Two kinds of calibration are performed based on charge and discharge SOC curve inflection points of a lithium iron phosphate system battery cell, and are called as a calibration point A (SOC) A ) And a calibration point B (SOC) B ) Wherein the calibration point a is a point where the SOC is large. The standard for identifying whether the battery reaches two calibration points is the SOC determined by a cell voltage method, and the calibration false start and calibration deviation caused by an ampere-hour integration method error are avoided.
Available capacity and residual capacity calibration initiation determination:
when it is recognized that the battery has completed a complete charge or discharge from calibration point a to calibration point B (or vice versa) (denoted as a standard condition), at the end of the calibration (i.e., at calibration point a or B), the available capacity calibration requirement is deemed satisfied, and the available capacity calibration is initiated; when the battery is in [1, SOC A ]In-interval charging and detection of battery switching from charging to discharging, or when battery is in [ SOC ] B ,0]And when the battery is discharged in the interval and the battery is detected to be converted from discharging to charging, the residual capacity calibration requirement is considered to be met, and the residual capacity calibration is started. In the remaining capacity calibration, the available capacity of the battery is required, but the value is not forced to be a calibrated value, that is, the calibration of the remaining capacity and the available capacity has no causal relationship, and the respective starting requirements are met to perform the respective calibration.
Available capacity calibration:
when the system is in charge-discharge operation between the AB points, the system performs accumulated calculation of the SOC and the charge-discharge capacity based on an ampere-hour integration method due to the flat section of the SOC. When the system SOC completes a complete condition from calibration point A to calibration point B (or vice versa), it is noted as a calibration condition. At the end of the calibration regime (i.e., at calibration points a or B), the available capacity calibration requirement is deemed satisfied, and the available capacity calibration is initiated using the following equation:
wherein E is ch_A 、E disch_A The system accumulated charge capacity and accumulated discharge capacity corresponding to the calibration point A, E ch_B 、E disch_B The system accumulated charge capacity and accumulated discharge capacity corresponding to the calibration point B. This data is accumulated in the BMS for computing system warranty. E (E) avb Is the calculated available capacity for calibration.
Available capacity calibration validity determination:
the calibration difference deltae of the available capacity is calculated using the following formula avb :
ΔE avb =|E avb_0 -E avb |
The calibration threshold deltae for the available capacity is calculated using the following formula avb_eff :
ΔE avb_eff =10%*E avb_0
If delta E avb <ΔE avb_eff Then the calibration is successful, use E avb Replacement of available capacity E before Battery calibration avb_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E avb ≥ΔE avb_eff The calibration fails, the available capacity E before the battery calibration is reserved avb_0 。
Residual capacity calibration:
when the battery is operated to [1, SOC A ]Sum [ SOC ] B ,0]And performing voltage calibration and residual capacity calibration in two intervals. For [1, SOC A ]And in the interval, when the system is charged, a traditional cell voltage calibration mode is adopted, the SOC value obtained by looking up the highest single cell voltage of the battery currently measured and the value integrated at ampere hour are subjected to Kalman filtering to obtain an actual SOC value, and smoothing processing is performed to improve the use experience. In the prior art, a corresponding table of battery voltage and SOC already exists, and specific values of SOC corresponding to battery voltage are slightly different based on different battery factories, and a method of searching for corresponding values of battery voltage and SOC by looking up a table is simply referred to as a table look-up method. When the system is switched from charge to discharge, the SOC value corresponding to the maximum cell voltage of the battery measured at the moment is used for obtaining the actual SOC value SOC of the battery through data processing tabl The method comprises the steps of carrying out a first treatment on the surface of the And under other conditions (such as unchanged charge and discharge working conditions or discharge to charge, and no residual capacity calibration is performed). Similarly, for [ SOC ] B ,0]And in the interval, when the system discharges, a traditional cell voltage calibration mode is adopted, the SOC value obtained by looking up the currently measured lowest single cell voltage of the battery and the value integrated in ampere hour are subjected to Kalman filtering to obtain an actual SOC value, and smoothing processing is performed to improve the use experience. When the system is charged from discharging, the SOC value corresponding to the minimum cell voltage of the battery measured at the moment is used for obtaining the actual SOC value SOC of the battery through data processing ab2 The method comprises the steps of carrying out a first treatment on the surface of the Under other conditions (e.g. constant charge-discharge conditions, or charge-discharge conditionsNo residual capacity calibration is performed). The battery usable capacity E is used by the following formula avb_0 And SOC (System on chip) tabl Calculating the remaining capacity calibration value E rem :
E rem =SOC tab *E avb_0 ;
Wherein SOC is tab The value of (2) is SOC tabl Or SOC (System on chip) tab2 ;SOC tabl The actual SOC value corresponding to the maximum cell voltage of the battery; SOC (State of Charge) tab2 The actual SOC value corresponding to the minimum cell voltage of the battery.
Residual capacity calibration validity determination:
the calibration difference deltae of the available capacity is calculated using the following formula rem :
ΔE rem =|E rem_0 -E rem |
The calibration threshold deltae for the available capacity is calculated using the following formula rem_eff :
ΔE rem_eff =30%*E rem_0
If delta E rem <ΔE rem_eff Then the calibration is successful, use E rem Replacement of residual Capacity E before Battery calibration rem_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E rem ≥ΔE rem_eff The calibration fails, the residual capacity E before the battery calibration is reserved rem_0 。
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the current lithium battery running state is judged through the linear relation between the voltage and time of the lithium battery, the health state of the battery can be mastered in real time, if the problem is found, the battery can be replaced in time, the problem of the state of the lithium battery is prevented from influencing the normal running of the equipment, if the running state is good, the state of charge of the lithium battery is estimated by using an ampere-hour integration method, the range of the state of charge of the normal lithium battery is obtained by using the state of charge of the normal lithium battery with the same charge and discharge times stored in a database, so that the current lithium battery is judged to be not required to be calibrated, the difference between the calibrated system capacity and the system actual capacity is calculated, the difference is compared with a calibration threshold value, and whether the calibration is successful is judged, thereby improving the running efficiency of the system and the utilization rate of the lithium battery.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of estimating the state of charge of a lithium battery based on an ampere-hour integration method;
FIG. 2 is a diagram of a lithium battery state of charge estimation system based on an ampere-hour integration method according to the present invention;
FIG. 3 is a line drawing of a first embodiment of the present invention;
FIG. 4 is a line drawing of a second embodiment of the present invention;
fig. 5 is a line drawing in the fourth embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a lithium battery state of charge estimation system based on an ampere-hour integration method, the system comprising: the system comprises a data acquisition module, a database, a state of charge estimation module and a calibration module.
The output end of the data acquisition module is connected with the input end of the database; the output end of the database is connected with the input end of the state of charge estimation module; the output end of the charge state estimation module is connected with the input end of the calibration module;
the data acquisition module is used for acquiring data information of the lithium battery;
the database is used for storing and managing all acquired data;
the state of charge estimation module is used for analyzing the running state of the lithium battery according to the acquired information, estimating the state of charge of the lithium battery and judging whether the state of charge of the lithium battery is in a normal range;
the calibration module is used for carrying out available capacity calibration and residual capacity calibration on the lithium battery and respectively judging the validity of the available capacity calibration and the residual capacity calibration.
Further, the data acquisition module comprises a lithium battery data acquisition unit and a monitoring data acquisition unit; the output ends of the data acquisition unit and the monitoring data acquisition unit are connected with the input end of the database; the lithium battery data acquisition unit is used for acquiring factory information of the lithium battery; the monitoring data acquisition unit is used for acquiring data information of the lithium battery in detection.
Further, the state of charge estimation module comprises a state analysis unit, a state of charge estimation unit and a range judgment unit; the output end of the database is connected with the input end of the state analysis unit; the output end of the state analysis unit is connected with the input end of the state of charge estimation unit; the output end of the charge state estimation unit is connected with the input end of the range judgment unit; the state analysis unit is used for analyzing the running state of the lithium battery according to the detection data and judging the quality of the current state of the lithium battery; the charge state estimating unit is used for estimating the charge state of the current lithium battery by adopting an ampere-hour integration method according to the condition of the lithium battery; the range judging unit is used for analyzing the charge states of the normal lithium batteries under the same conditions and judging whether the charge states of the current lithium batteries are in the normal range.
Further, the calibration module comprises a lithium battery calibration start judging unit, an available capacity calibration judging unit, a residual capacity calibration judging unit and a residual capacity calibration judging unit; the output end of the range judging unit is connected with the input end of the calibration starting judging unit, and the calibration starting judging unit judges whether available capacity calibration or residual capacity calibration is required to be started or not; for determining whether an available capacity calibration or a remaining capacity calibration needs to be started; the output end of the calibration start judging unit is connected with the input end of the available capacity calibration unit and the input end of the residual capacity calibration unit, and is used for calibrating the available capacity and the residual capacity respectively, the available capacity calibration unit is used for carrying out calibration calculation on the available capacity, and the residual capacity calibration unit is used for carrying out calibration calculation on the residual capacity; the output end of the available capacity calibration unit is connected with the input end of the available capacity calibration judging unit, and the available capacity calibration judging unit is used for judging whether the available capacity calibration is successful or not; the output end of the residual capacity calibration unit is connected with the input end of the residual capacity calibration judging unit, and the residual capacity calibration judging unit is used for judging whether the residual capacity calibration is successful or not.
A lithium battery state of charge estimation method based on an ampere-hour integration method comprises the following steps:
z1: collecting and storing lithium battery data information;
z2: estimating the charge state of the current lithium battery by utilizing an ampere-hour integration method and judging whether the current lithium battery is in a normal range or not;
z3: and judging whether the requirements of the available capacity calibration and the residual capacity calibration are met for the battery which runs normally, carrying out the available capacity calibration and the residual capacity calibration on the battery which meets the requirements of the calibration, and respectively judging the validity of the available capacity calibration and the residual capacity calibration.
Step Z2 comprises: and electrifying the lithium battery, measuring the voltage to obtain a linear relation between the voltage and time, and judging whether the current operation state of the lithium battery is normal or not based on the linear relation. The method comprises the steps of electrifying a lithium battery and measuring voltage to obtain a line diagram of the voltage and time, wherein if the line diagram has stable trend, the current lithium battery is in a good state; if the line diagram is in a descending trend, the current lithium battery running state is indicated to have a problem, the lithium battery needs to be replaced, the voltage of the lithium battery is monitored in real time under the condition that the lithium battery is electrified, whether the current lithium battery running state is good or not is judged through the linear relation between the voltage and time, the health state of the battery can be mastered in real time, and if the problem is found, the lithium battery running state can be replaced in time, so that the normal running of equipment is prevented from being influenced due to the state problem of the lithium battery.
In step Z2: extracting information in the database to obtain the charging start of the lithium batteryInitial state B 0 The current state of charge B of the lithium battery is calculated according to the following formula:
wherein C is E The method is characterized in that the method comprises the steps of representing rated capacity of a lithium battery, wherein I represents charging current of the lithium battery (current is a negative value during charging and current is a positive value during discharging), eta represents charging efficiency, the current state of charge of the lithium battery is estimated by utilizing an ampere-hour integrating method, the ampere-hour integrating method does not consider the action mechanism inside the battery, the total capacity of the inflow and outflow battery is calculated by integrating time and current according to certain external characteristics of a system, such as current, time, temperature compensation and the like, and certain compensation coefficients are added. The main problem is that accumulated errors cannot be eliminated, if effective calibration is lacking, the errors are larger and larger, so the invention further provides a method for calibrating the ampere-hour integration method aiming at the defects of the ampere-hour integration method, thereby reducing the errors brought by the ampere-hour integration method.
Extracting the charge states of the conventional normal lithium batteries with the same charge and discharge times stored in the database, and obtaining a set D= { D of the charge states of the conventional n-time lithium batteries 1 ,D 2 ,...,D n By comparing to obtain the minimum value D of lithium battery charge state min And maximum value D max The range of the charge states of the conventional normal lithium batteries with the same charge and discharge times stored in the database is [ D ] min ,D max ]The method comprises the steps of carrying out a first treatment on the surface of the If B is [ D ] min ,D max ]Judging that the current state of charge of the lithium battery is normal and the battery state is good within the range; if B is not in [ D ] min ,D max ]And if the current lithium battery charge state is abnormal, reporting the fault to process. By having the same conditions as those stored in the previous databaseAnd the value of the charge state of the normal lithium battery determines the range, and judges whether the current charge state of the lithium battery is abnormal or not, so that the judging result is more effective, the calculation time of the system is reduced, and the running efficiency of the system is improved.
In the present invention, the calibration of the system is divided into two types, namely, remaining capacity calibration and usable capacity calibration, and the calibration is performed with respect to the numerator (remaining capacity) and denominator (usable capacity) in the SOC calculation, respectively.
Two kinds of calibration are performed based on charge and discharge SOC curve inflection points of a lithium iron phosphate system battery cell, and are called as a calibration point A (SOC) A ) And a calibration point B (SOC) B ) Wherein the calibration point a is a point where the SOC is large. The standard for identifying whether the battery reaches two calibration points is the SOC determined by a cell voltage method, and the calibration false start and calibration deviation caused by an ampere-hour integration method error are avoided.
Available capacity and residual capacity calibration initiation determination:
when it is recognized that the battery has completed a complete charge or discharge from calibration point a to calibration point B (or vice versa) (denoted as a calibration condition), at the end of the calibration condition (i.e., at calibration point a or B), the available capacity calibration requirement is deemed satisfied, and the available capacity calibration is initiated; when the battery is in [1, SOC A ]In-interval charging and detection of battery switching from charging to discharging, or when battery is in [ SOC ] B ,0]And when the battery is discharged in the interval and the battery is detected to be converted from discharging to charging, the residual capacity calibration requirement is considered to be met, and the residual capacity calibration is started.
Wherein the available capacity is calibrated:
when the system is in charge-discharge operation between the AB points, the system performs accumulated calculation of the SOC and the charge-discharge capacity based on an ampere-hour integration method due to the flat section of the SOC. When the system SOC completes a complete condition from calibration point A to calibration point B (or vice versa), it is noted as a calibration condition. At the end of the calibration regime (i.e., at calibration points a or B), the available capacity calibration requirement is deemed satisfied, and the available capacity calibration is initiated using the following equation:
wherein E is ch_A 、E disch_A The system accumulated charge capacity and accumulated discharge capacity corresponding to the calibration point A, E ch_B 、E disch_B The system accumulated charge capacity and accumulated discharge capacity corresponding to the calibration point B. This data is accumulated in the BMS for computing system warranty. E (E) avb Is the calculated available capacity for calibration.
Available capacity calibration validity determination:
the calibration difference deltae of the available capacity is calculated using the following formula avb :
ΔE avb =|E avb_0 -E avb |
The calibration threshold deltae for the available capacity is calculated using the following formula avb_eff :
ΔE avb_eff =10%*E avb_0
If delta E avb <ΔE avb_eff, Then the calibration is successful, use E avb Replacement of available capacity E before Battery calibration avb_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E avb ≥ΔE avb_eff The calibration fails, the available capacity E before the battery calibration is reserved avb_0 。
Residual capacity calibration:
when the battery is operated to [1, SOC A ]Sum [ SOC ] B ,0]And performing voltage calibration and residual capacity calibration in two intervals. For [1, SOC A ]And in the interval, when the system is charged, a traditional cell voltage calibration mode is adopted, the SOC value obtained by looking up the highest single cell voltage of the battery currently measured and the value integrated at ampere hour are subjected to Kalman filtering to obtain an actual SOC value, and smoothing processing is performed to improve the use experience. In the prior art, there is a corresponding table of battery voltage and SOC, and specific values of SOC corresponding to battery voltage are slightly different based on different battery factoriesThe method of looking up the corresponding values of the battery voltage and the SOC through the lookup table is simply referred to as a lookup table method. When the system is switched from charge to discharge, the SOC value corresponding to the maximum cell voltage of the battery measured at the moment is used for obtaining the actual SOC value SOC of the battery through data processing tab1 The method comprises the steps of carrying out a first treatment on the surface of the And under other conditions (such as unchanged charge and discharge working conditions or discharge to charge, and no residual capacity calibration is performed). Similarly, for [ SOC ] B ,0]And in the interval, when the system discharges, a traditional cell voltage calibration mode is adopted, the SOC value obtained by looking up the currently measured lowest single cell voltage of the battery and the value integrated in ampere hour are subjected to Kalman filtering to obtain an actual SOC value, and smoothing processing is performed to improve the use experience. When the system is charged from discharging, the SOC value corresponding to the minimum cell voltage of the battery measured at the moment is used for obtaining the actual SOC value SOC of the battery through data processing ab2 The method comprises the steps of carrying out a first treatment on the surface of the Under other conditions (such as unchanged charge and discharge conditions or charge-discharge, and no residual capacity calibration). The battery usable capacity E is used by the following formula avb_0 And SOC (System on chip) tab1 Calculating the remaining capacity calibration value E rem :
E rem =SOC tab *E avb_0 ;
Wherein SOC is tab The value of (2) is SOC tab1 Or SOC (System on chip) tab2 ;SOC tab1 The actual SOC value corresponding to the maximum cell voltage of the battery; SOC (State of Charge) tab2 The actual SOC value corresponding to the minimum cell voltage of the battery.
Residual capacity calibration validity determination:
the calibration difference deltae of the available capacity is calculated using the following formula rem :
ΔE rem =|E rem_0 -E rem |
The calibration threshold deltae for the available capacity is calculated using the following formula rem_eff :
ΔE rem_eff =30%*E rem_0
If delta E rem <ΔE rem_eff Then the calibration is successful, use E rem Replacement of residual Capacity E before Battery calibration avb_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E rem ≥ΔE rem_eff The calibration fails, the residual capacity E before the battery calibration is reserved rem_0 。
Embodiment one: the lithium battery is electrified, the voltage is measured, a line diagram of the voltage and the time is obtained, and referring to fig. 3, the line diagram shows a descending trend, and the current lithium battery running state is problematic, so that the lithium battery needs to be replaced.
Embodiment two: electrifying the lithium battery, measuring the voltage to obtain a line diagram of the voltage and the time, referring to fig. 4, if the line diagram has stable trend, the running state of the current lithium battery is good; under the condition that the lithium battery is electrified, the voltage of the lithium battery is monitored in real time, whether the current running state of the lithium battery is good or not is judged through a voltage and time line diagram, the health state of the battery can be mastered in real time, if the problem is found, the lithium battery can be replaced in time, and the problem of the running state of the lithium battery is prevented from influencing the normal running of equipment.
Embodiment III: extracting information in a database to obtain an initial state B of lithium battery charging 0 =48%, lithium battery rated capacity C E 3, the charging current I of the lithium battery is-2, the charging efficiency eta is 0.5, and the charging efficiency eta is according toAnd calculating to obtain the current charge state B of the lithium battery as 81%.
Extracting the charge states of the normal lithium batteries with the same charge and discharge times stored in the database, obtaining a set D= {81.5%,81.53%,81.55%,81.59% and 81.53% } of the charge states of the lithium batteries, and obtaining the minimum value D of the charge states of the lithium batteries through comparison min 81.5%, maximum value D max 81.59%, the state of charge of the conventional normal lithium battery with the same charge and discharge times stored in the database is in the range of [81.5%,81.59%]The method comprises the steps of carrying out a first treatment on the surface of the The current charge state B of the lithium battery is 81 percent and is not (81.5 percent, 81.59 percent)]And in the range, judging that the current state of charge of the lithium battery is abnormal, and reporting the fault for processing.
Embodiment four: electrifying the lithium battery, measuring the voltage, and obtaining the voltage and the timeAfter no fault is found, the charging process of the battery is monitored to pass through 88% and 10% of SOC monitoring points, and is converted into discharging after the battery is fully charged to 100%, and the calibration requirement is met by referring to FIG. 5. The available capacity calibration is started first. By means ofThe available capacity after calibration was calculated to be 197.07Ah by ΔE avb =|E avb_0 -E avb The |= |199, 41-197.07 |=2ah gives the calibration difference Δe avb 2.34Ah by ΔE avb_eff =10%*E avb_0 Calibration threshold Δe is obtained by =10% x 199.41=19.94 Ah avb_eff 19.94Ah: if 2.34Ah is less than 19.94Ah, judging that the calibration is successful, and using 197.07Ah obtained by the calibration to replace the original 199.41Ah as the new available capacity of the battery. Further, it is determined whether or not to perform remaining capacity calibration. Firstly, the charging process of the battery is monitored to exceed the monitoring point 88% of the SOC, and the charging process is switched to the discharging working condition after the charging process is full, so that the requirement for starting the residual capacity calibration is met. Using E rem =SOC tab *E avb_0 The remaining capacity was calculated to be 197.07Ah =100% 197.07 = 197.07Ah. Wherein. The available capacity is calibrated E avb_0 But actual E avb_0 Whether or not the calibration has been performed does not affect the start of the remaining capacity calibration. That is, in the remaining capacity calibration, the available capacity of the battery is required, but the value of the available capacity may be calibrated or not, that is, the remaining capacity and the available capacity may be calibrated without causal relationship, so long as the respective starting requirements are satisfied. By delta E rem =|E rem_0 -E rem The |= |197.07-199.48 |=2.41 Ah gives the calibration difference Δe rem 2.41Ah, by ΔE rem_eff =30%*E rem_0 The calibration threshold Δe is obtained by=30% × 199.48 =59.84 Ah rem_eff 59.84Ah: if 2.41Ah is less than 59.84Ah, judging that the calibration is successful, and using 197.07Ah obtained by the calibration to replace the original 199.48Ah as the new residual capacity of the battery.
The available capacity and the residual capacity of the system are calibrated respectively to obtain a difference value before calibration and a difference value after calibration, a calibration threshold value is calculated according to the actual available capacity and the residual capacity of the current system, the value after calibration is compared with the threshold value to judge whether the calibration is successful, the battery state is calibrated, the durability of the lithium battery is improved, the information of the lithium battery is more accurate, and the fault reason and the degradation degree of the lithium battery are judged.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A lithium battery state of charge estimation method based on an ampere-hour integration method is characterized by comprising the following steps of: the method comprises the following steps:
z1: collecting and storing lithium battery data information;
z2: estimating the charge state of the current lithium battery by utilizing an ampere-hour integration method and judging whether the current lithium battery is in a normal range or not;
z3: and judging whether the requirements of the available capacity calibration and the residual capacity calibration are met for the battery with normal running state, carrying out the available capacity calibration and the residual capacity calibration for the battery meeting the calibration requirements, and respectively judging the validity of the available capacity calibration and the residual capacity calibration.
2. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 1, wherein the method comprises the following steps: step Z2 further comprises: and electrifying the lithium battery, measuring the voltage to obtain a linear relation between the voltage and time, and judging whether the current operation state of the lithium battery is normal or not based on the linear relation.
3. A base according to claim 1The lithium battery state of charge estimation method based on the ampere-hour integration method is characterized in that: in step Z2: extracting information in a database to obtain an initial state B of lithium battery charging 0 The current state of charge B of the lithium battery is calculated according to the following formula:
wherein C is E The rated capacity of the lithium battery is represented, I represents the current of the lithium battery, and η represents the charging efficiency.
4. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 1, wherein the method comprises the following steps: in step Z2: extracting the charge states of the conventional normal lithium batteries with the same charge and discharge times stored in the database, and obtaining a set D= { D of the charge states of the conventional n-time lithium batteries 1 ,D 2 ,...,D n At least one of them D min And maximum value D max As a state of charge range for a normal lithium battery; if B is [ D ] min ,D max ]Judging that the current state of charge of the lithium battery is normal within the range; otherwise, judging that the current state of charge of the lithium battery is abnormal.
5. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 1, wherein the method comprises the following steps: in step Z3: when the battery is identified to finish a standard working condition, at a calibration point A or a calibration point B at the tail end of the calibration working condition, the battery is considered to meet the requirement of available capacity calibration, and the available capacity calibration is started; when the battery is in [1, SOC A ]In-interval charging and detection of battery switching from charging to discharging, or when battery is in [ SOC ] B ,0]And when the battery is discharged in the interval and the battery is detected to be converted from discharging to charging, the battery is considered to meet the requirement of residual capacity calibration, and the residual capacity calibration is started.
6. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 1, wherein the method comprises the following steps: in step Z3, the available capacity calibration is performed using the following formula:
wherein E is ch_A 、E disch_A The system accumulated charge capacity and accumulated discharge capacity corresponding to the calibration point A, E ch_B 、E disch_B The accumulated charge capacity and the accumulated discharge capacity of the system corresponding to the calibration point B; e (E) avb Is the calculated available capacity for calibration.
7. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 6, wherein the method comprises the following steps: the validity of the available capacity calibration is judged as follows:
the calibration difference deltae of the available capacity is calculated using the following formula avb :
ΔE avb =|E avb_0 -E avb |
Wherein E is avb_0 Is the available capacity before calibration;
the calibration threshold deltae for the available capacity is calculated using the following formula avb_eff :
ΔE avb_eff =10%*E avb_0
If delta E avb <ΔE avb_eff Then the calibration is successful, use E avb The value of (2) replaces the available capacity value E before battery calibration avb_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E avb ≥ΔE avb_eff The calibration fails, the available capacity E before the battery calibration is reserved avb_0 。
8. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 1, wherein the method comprises the following steps: in step Z3, the remaining capacity calibration is performed using the following formula:
E rem =SOC tab *E avb_0
wherein SOC is tab The value of (2) is SOC tab1 Or SOC (System on chip) tab2 ;SOC tab1 The actual SOC value corresponding to the maximum cell voltage of the battery; SOC (State of Charge) tab2 The actual SOC value corresponding to the minimum cell voltage of the battery.
9. The method for estimating the state of charge of a lithium battery based on the ampere-hour integration method according to claim 8, wherein the method comprises the following steps: the validity of the remaining capacity calibration is judged as follows:
the calibration difference ΔE of the remaining capacity is calculated using the following formula rem :
ΔE rem =|E ren_0 -E rem |
The calibration threshold deltae for the residual capacity is calculated using the following formula rem_eff :
ΔE rem_eff =30%*E rem_0
If delta E rem <ΔE rem_eff Then the calibration is successful, use E rem Replacement of residual Capacity E before Battery calibration rem_0 The method comprises the steps of carrying out a first treatment on the surface of the If delta E rem ≥ΔE rem_eff The calibration fails, the residual capacity E before the battery calibration is reserved rem_0 。
10. A lithium battery state of charge estimation system based on an ampere-hour integration method is characterized in that: the system comprises: the system comprises a data acquisition module, a database, a state of charge estimation module and a calibration module;
the output end of the data acquisition module is connected with the input end of the database; the output end of the database is connected with the input end of the state of charge estimation module; the output end of the charge state estimation module is connected with the input end of the calibration module;
the data acquisition module is used for acquiring data information of the lithium battery;
the database is used for storing and managing all acquired data;
the state of charge estimation module is used for analyzing the running state of the lithium battery according to the acquired information, estimating the state of charge of the lithium battery and judging whether the state of charge of the lithium battery is in a normal range;
the calibration module is used for carrying out available capacity calibration and residual capacity calibration on the lithium battery and judging the effectiveness of the calibration.
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