CN116879759A - SOH correction method, battery manager, storage medium and energy storage device - Google Patents
SOH correction method, battery manager, storage medium and energy storage device Download PDFInfo
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- CN116879759A CN116879759A CN202311139834.6A CN202311139834A CN116879759A CN 116879759 A CN116879759 A CN 116879759A CN 202311139834 A CN202311139834 A CN 202311139834A CN 116879759 A CN116879759 A CN 116879759A
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- 238000000034 method Methods 0.000 title claims abstract description 69
- 238000012937 correction Methods 0.000 title claims abstract description 50
- 238000004146 energy storage Methods 0.000 title claims abstract description 21
- 230000015654 memory Effects 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 abstract description 20
- 238000012544 monitoring process Methods 0.000 description 17
- 230000008859 change Effects 0.000 description 9
- 230000036541 health Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 238000007599 discharging Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 4
- 230000005611 electricity Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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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
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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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- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses an SOH correction method, a battery manager, a storage medium and energy storage equipment, wherein the SOH correction method comprises the following steps: determining that the battery is effectively charged for the first time; after the first effective charge is completed, counting the discharge charge quantity of the battery until the battery is subjected to the second effective charge; obtaining an accumulated discharge charge amount of the battery and a battery average temperature value in a period between the first effective charge and the second effective charge; obtaining a current capacity loss value according to the accumulated discharge charge quantity and the battery temperature value; and obtaining the current SOH value of the battery according to the current capacity loss value. The SOH correction method can realize the rapid correction of the SOH value of the battery, saves time, has high efficiency, and does not need to relate to an internal resistance calculation or a cycle life method, thereby improving the accuracy and the reliability of SOH estimation.
Description
Technical Field
The present invention relates to the field of battery management technology, and in particular, to an SOH correction method, a battery manager, a computer readable storage medium, and an energy storage device.
Background
With the increasing global environmental policies and the challenges facing energy supply, the demand in the energy storage industry and in the energy storage area of homes is growing rapidly. In a home energy storage system, it is necessary to properly and reasonably estimate the SOH (State of Health) of a battery. Currently, the energy storage industry is widely adopting lithium iron phosphate battery technology, however, this battery type faces some challenges of SOH estimation over long-term use.
Currently, SOH estimation for lithium batteries generally adopts a full charge capacity-converting method, however, lithium iron phosphate batteries have a long plateau, which results in a need to take a lot of time to accurately measure full charge capacity, and the reliability of this process is not high. In addition, full charge capacity can also be obtained using a cycle life or internal resistance calculation. However, the internal resistance of the lithium iron phosphate battery is difficult to calculate, and the method based on the cycle life is easily affected by various factors in the life cycle of the battery, so that the estimation result is inaccurate.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, an object of the present invention is to provide an SOH correction method that can achieve rapid correction of the SOH value of a battery, save time, be efficient, and eliminate the need for a method involving internal resistance calculation or cycle life, thereby improving the accuracy and reliability of SOH estimation.
A second object of the present invention is to provide a battery manager.
A third object of the present invention is to propose a computer readable storage medium.
A fourth object of the present invention is to propose an energy storage device.
To achieve the above object, an SOH correction method according to an embodiment of the first aspect of the present invention includes: determining that the battery is actively charged once as the first active charge; after the first effective charge is completed, counting the discharge charge quantity of the battery until the battery is subjected to the next effective charge as a second effective charge; obtaining an accumulated discharge charge amount of the battery and a battery average temperature value in a period between the first effective charge and the second effective charge; obtaining a current capacity loss value according to the accumulated discharge charge quantity and the battery temperature value; and obtaining the current SOH value of the battery according to the current capacity loss value.
According to the SOH correction method provided by the embodiment of the invention, the capacity loss of the battery in the time period can be calculated by monitoring the accumulated discharge charge quantity and the average temperature value of the battery in the time period between the first effective charge and the second effective charge, which relates to monitoring the discharge behavior of the battery in normal use, more accurately reflecting the actual performance degradation condition of the battery, and calculating the current SOH value of the battery according to the current capacity loss value, wherein the current SOH value reflects the health condition of the battery in the time period, thereby realizing quick and accurate SOH correction, saving time, having high efficiency, and improving the accuracy and reliability of SOH estimation without a complex method related to internal resistance calculation or cycle life.
In some embodiments, determining that the battery is actively charged for the first time comprises: determining that the battery is in a charging mode; after the battery is charged, acquiring a first SOC variation value of a charging process; if the first SOC variation value is smaller than a preset SOC value, determining that the battery is not subjected to the first effective charging; and if the first SOC variation value is greater than or equal to a preset SOC value, determining that the battery is effectively charged for the first time.
In some embodiments, counting the amount of battery discharge charge after the first active charge is completed until the battery is subjected to a second active charge comprises: counting the amount of discharged charge of the battery after the first effective charge is completed; judging the charge and discharge states of the battery; if the battery is in a non-charging state, continuously counting the discharge charge quantity of the battery; if the battery is in a charging state, acquiring a second SOC variation value of the current charge after the battery is charged; if the second SOC variation value is smaller than a preset SOC value, continuously counting the discharge charge quantity of the battery; and if the second SOC variation value is greater than or equal to a preset SOC value, determining that the battery is effectively charged for the second time.
In some embodiments, obtaining the accumulated discharged charge amount and the average battery temperature value of the battery during the period between the first effective charge and the second effective charge comprises: taking the sum of the discharge charge amounts of the battery counted each time in the period between the first effective charge and the second effective charge as the accumulated discharge charge amount; and counting the temperature value of the battery in a period between the first effective charge and the second effective charge, and calculating the average value of the temperature values of the battery in the period to obtain the average temperature value of the battery.
In some embodiments, obtaining the capacity loss from the accumulated discharged charge amount and the battery temperature value includes: obtaining a battery depth of discharge value according to the accumulated discharge charge quantity; and obtaining the capacity loss according to the battery discharge depth value and the battery average temperature value.
In some embodiments, obtaining the current capacity loss from the battery depth of discharge value and the battery average temperature value comprises: inquiring a capacity loss mapping table according to the battery discharge depth value and the battery average temperature value to obtain the current capacity loss value; the capacity loss mapping table is a mapping table of the battery depth of discharge value, the battery average temperature value and the capacity loss value.
In some embodiments, obtaining the current SOH value of the battery from the current capacity loss value includes: acquiring a previous full charge capacity value of the battery; obtaining a capacity difference value between the previous full capacity value and the current capacity loss value to serve as a current full capacity value; and dividing the current full charge capacity value by a design capacity value of the battery to obtain a current SOH value of the battery.
To achieve the above object, a battery manager according to an embodiment of a second aspect of the present invention includes: a processor; a memory communicatively coupled to the processor; the memory stores therein a computer program executable by the processor, which when executing the computer program implements the SOH correction method described in the above embodiments.
According to the battery manager of the embodiment of the invention, the accumulated discharge charge amount and the average battery temperature value in the time period between the first effective charge and the second effective charge are processed and executed, so that the capacity loss of the battery in the time period can be calculated, the current SOH value of the battery can be calculated according to the capacity loss value, the quick and accurate SOH correction is realized, the time is saved, the efficiency is high, a complex method involving internal resistance calculation or cycle life is not needed, and the accuracy and the reliability of SOH estimation are improved.
In order to achieve the above object, a computer-readable storage medium of an embodiment of a third aspect of the present invention has stored thereon a computer program which, when executed, implements the SOH correction method described in the above embodiment.
According to the computer readable storage medium, the SOH value of the battery can be quickly corrected by storing the computer program for executing the SOH correction method, so that the time is saved, the efficiency is high, and a method related to internal resistance calculation or cycle life is not needed, thereby improving the accuracy and reliability of SOH estimation.
To achieve the above object, an energy storage device according to a fourth aspect of the present invention includes a battery and a battery manager according to the above embodiment, the battery manager being connected to the battery.
According to the energy storage device provided by the embodiment of the invention, the battery manager is connected with the battery and executes the SOH correction method described in the embodiment, so that the current SOH value of the battery can be calculated, the quick and accurate SOH correction is realized, the time is saved, the efficiency is high, a complex method related to internal resistance calculation or cycle life is not needed, the accuracy and the reliability of SOH estimation are improved, and better battery performance management is realized.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a SOH correction method according to one embodiment of the invention;
FIG. 2 is a general flow chart of a SOH correction method according to one embodiment of the invention;
FIG. 3 is a block diagram of a battery manager according to one embodiment of the invention;
fig. 4 is a block diagram of an energy storage device according to one embodiment of the invention.
Reference numerals:
an energy storage device 100;
a battery manager 1; a battery 2;
a memory 10; a processor 20.
Detailed Description
Embodiments of the present invention will be described in detail below, by way of example with reference to the accompanying drawings.
An SOH correction method according to an embodiment of the present invention is described below with reference to fig. 1 to 2.
Fig. 1 is a flowchart of an SOH correction method according to an embodiment of the present invention, and as shown in fig. 1, the SOH correction method at least includes steps S1-S5, specifically as follows.
S1, determining that the battery is subjected to effective charging for the first time as the effective charging for the first time.
Wherein, an effective charge may refer to a battery undergoing a charge cycle to achieve a certain state of charge. This definition may vary from application to application and battery type to battery type. For example, in a home energy storage system, an effective charge may be defined as a state of charge of the battery that reaches 80% or more for the first time after shipment from the factory. This threshold may be adjusted according to the battery manufacturer's specifications or the needs of a particular application. The first effective charge may be any effective charge selected to meet the effective charge condition.
In some embodiments, determining that the battery has been actively charged once may be accomplished by monitoring a change in the state of charge of the battery. Specifically, by monitoring the voltage change of the battery, it can be determined whether the battery is being charged. When the voltage of the battery starts to rise and reaches a certain threshold, the battery can be considered to be effectively charged once. In addition, monitoring the current flow and magnitude of the battery can also be used to determine the state of charge. When the battery absorbs current and starts charging, the current direction may change and the current value may increase. When the battery current reaches a certain threshold, the battery may also be considered to be actively charged once.
In addition, some batteries or charger devices may be equipped with LED indicators that may illuminate red light when the battery is in a charged state to indicate that the battery is being charged. When the battery completes one charging cycle, the indicator lights may illuminate green light for indicating that the battery has completed one active charge.
Thus, depending on the particular application and system requirements, an appropriate manner may be selected to determine whether the battery is actively charged once. These approaches may be used alone or in combination to ensure accurate identification of the state of charge.
And S2, after the first effective charge is completed, counting the discharge charge quantity of the battery until the battery is subjected to the next effective charge, and taking the next effective charge as the second effective charge.
In some embodiments, counting the amount of discharged charge of the battery may be achieved by various methods, such as current integration, voltage, coulomb counting, BMS (Battery Management System ).
The current integration method can be used for monitoring the current flow direction and the current magnitude of the battery by installing a current sensor. To count the amount of discharged charge of the battery, the current value may be integrated by real-time monitoring of the current. The result of the integration will be a discharge charge representing the amount of charge that the battery has discharged during that period. This process may continue to monitor until the battery is actively charged a second time.
The voltage method may be to calculate the amount of charge by installing a voltage sensor to monitor the voltage of the battery. This can be done by measuring the voltage at the battery terminals and then integrating with time. Voltage methods require attention to the voltage drop of the battery and the influence of internal resistance on the voltage.
Coulomb counting can be a current and time based calculation method, typically used to record battery discharge. It calculates the amount of discharged charge based on the magnitude of the current and the discharge time.
Battery Management Systems (BMS) generally include a charge calculation function. The method can monitor the current and the voltage and automatically calculate the discharge charge quantity of the battery. This is an automated method, commonly found in electric vehicles and energy storage systems.
Thus, the method of counting the amount of discharged charge of the battery may vary depending on the system and the type of battery. This step may be performed in a manner selected as appropriate for the particular application and characteristics of the battery to ensure accurate knowledge of the discharge of the battery.
And S3, obtaining the accumulated discharge charge quantity of the battery and the average temperature value of the battery in the period between the first effective charge and the second effective charge.
In particular, a time stamp may be used to record the change in battery status. When the first active charge begins, a time stamp is recorded. When the second active charge begins, another timestamp is recorded. The time period between the two time stamps is the time period between the first effective charge and the second effective charge. During this period, the accumulated discharge charge amount during this period is calculated from the discharge charge amount data obtained in the above step S2. Meanwhile, the temperature of the battery is recorded using a temperature sensor, and an average temperature value is calculated.
And S4, obtaining the current capacity loss value according to the accumulated discharge charge quantity and the battery temperature value.
In some embodiments, the capacity loss value may refer to the capacity loss condition of the battery between two valid charges. Based on the accumulated discharge charge amount and the battery temperature value, the present capacity loss value can be obtained by using a predetermined capacity loss map without performing complicated mathematical calculations or model simulations. The method can quickly and accurately estimate the capacity loss of the battery and provide important data for subsequent SOH calculation.
And S5, obtaining the current SOH value of the battery according to the current capacity loss value.
Specifically, the current SOH value of the battery can be obtained by substituting the current capacity loss value obtained in step S4 into a specific SOH calculation formula. SOH values are typically expressed in percent and reflect the health of the battery between two effective charges. Where 100% indicates that the cell is intact and a lower percentage indicates that the cell performance is degraded.
According to the SOH correction method provided by the embodiment of the invention, the capacity loss of the battery in the time period can be calculated by monitoring the accumulated discharge charge quantity and the average temperature value of the battery in the time period between the first effective charge and the second effective charge, which relates to monitoring the discharge behavior of the battery in normal use, more accurately reflecting the actual performance degradation condition of the battery, and calculating the current SOH value of the battery according to the current capacity loss value, wherein the current SOH value reflects the health condition of the battery in the time period, thereby realizing quick and accurate SOH correction, saving time, having high efficiency, and improving the accuracy and reliability of SOH estimation without a complex method related to internal resistance calculation or cycle life.
In some embodiments, determining that the battery is actively charged for the first time comprises: determining that the battery is in the charging mode may be accomplished by monitoring a signal of the state of charge of the battery. In general, the charging mode may cause a voltage of the battery to rise, and a current flow direction to change. If these signals indicate that the battery is charging, then it may be confirmed that the battery is in a charging mode.
Further, after the battery charging is completed, a first SOC (State of Charge) change value of the charging process needs to be acquired. SOC represents the percentage of the current state of charge of the battery. The change value of the SOC may be calculated by monitoring parameters such as battery voltage, current, charging time, etc. This value reflects the increase in the charge of the battery during charging.
If the first SOC variation value is smaller than the preset SOC value, the battery is determined not to be effectively charged for the first time. The preset SOC value is a preset threshold value, and is used to determine when the battery can be considered to be effectively charged once. If the first SOC variation value is smaller than this preset SOC value, it may be determined that the battery is not completed for the first effective charge because the charged amount of electricity is increased insufficiently to reach the preset threshold value.
If the first SOC variation value is greater than or equal to the preset SOC value, the battery is determined to be effectively charged for the first time. This is because the amount of charge increases to or above a preset threshold.
By monitoring the charging mode, calculating the SOC variation value and comparing with the preset SOC value, it is possible to accurately judge whether the battery has undergone the first effective charging. This helps ensure that the SOH correction method is performed only when necessary, improving efficiency and accuracy.
In some embodiments, after completion of the first active charge, counting the amount of battery discharge charge until the battery is subjected to a second active charge, comprising: after the first effective charge is completed, the amount of discharged charge of the battery is counted. The discharge charge amount is the amount of electricity discharged by the battery upon discharge. By monitoring parameters such as the voltage, current, discharge time and the like of the battery, the electric quantity discharged by the battery during the period of time can be calculated. When the discharging process of the battery is monitored, the charging and discharging states of the battery need to be judged in real time. This can be achieved by monitoring signals of battery voltage, current flow direction, etc.
Further, if the battery is in a non-charged state, i.e., the battery is discharging, it is necessary to continue counting the amount of discharged charge of the battery, which means that the battery is in a discharge phase between the first effective charge and the second effective charge. If the battery is in a charged state, it is indicated that the battery is being actively charged a second time. After the second effective charge is completed, a second SOC variation value of the charging process needs to be acquired.
Further, if the second SOC variation value is smaller than the preset SOC value, it indicates that the state of charge of the battery does not reach the preset threshold, and the amount of discharged charge of the battery needs to be continuously counted. And if the second SOC variation value is larger than or equal to the preset SOC value, determining that the battery is effectively charged for the second time. This is because the amount of charge increases to or above a preset threshold. For example, assume that the preset SOC value is 10%. If the second SOC variation value calculated during the discharge is 5%, the statistics of the amount of discharged charge is continued. However, if the second SOC variation value is 15%, it is indicated that the battery is effectively charged for the second time before discharging.
In some embodiments, obtaining the accumulated discharged charge amount of the battery and the average temperature value of the battery during the period between the first effective charge and the second effective charge includes: the sum of the discharge charge amounts of the battery counted each time in the period between the first effective charge and the second effective charge is taken as the accumulated discharge charge amount. The purpose of this step is to count the amount of charge for all discharge events between the first and second active charges and to accumulate them to obtain the accumulated amount of discharged charge for the battery during that period. The amount of charge per discharge event may be derived by means of current integration, voltage, coulomb counting, or Battery Management System (BMS), among others. These charge amounts may be accumulated in time series, thereby calculating an accumulated discharged charge amount.
In addition, it is also necessary to monitor the temperature values of the battery and to count these temperature values throughout the period between the first and second effective charges. Then, an average value of the temperature values of the battery during the period is calculated to obtain an average temperature value of the battery. This average temperature value reflects the temperature change of the battery over the period of time, which can be used for subsequent capacity loss estimation.
Thus, data concerning the performance and health of the battery between the first and second effective charges can be obtained through the above steps. The accumulated discharged charge amount and the battery average temperature value may be important input parameters for calculating the capacity loss and SOH value. The accuracy and precision of these data is critical to the effectiveness of SOH correction. Therefore, it is necessary to ensure that the battery monitoring and data acquisition process is reliable and accurate when implemented.
In some embodiments, obtaining the capacity loss from the accumulated discharged charge amount and the battery temperature value includes: a battery depth of discharge value is calculated based on an accumulated amount of discharged charge between the first effective charge and the second effective charge. Where the depth of discharge (DOD, depth of Discharge) of the battery indicates the percentage of the battery capacity that has been used over a period of time to total capacity, typically expressed as a percentage, e.g., a DOD of 20% indicates that the battery has discharged 20% of the total capacity. The calculation method may vary depending on the characteristics of the battery and the manufacturer's specifications, and may be generally calculated by dividing the accumulated discharge charge amount by the rated capacity of the battery. The specific formula is as follows:
dod= (accumulated discharge charge amount/rated capacity of battery) ×100%
The accumulated discharge charge amount may be an amount of electricity that the battery has discharged over a period of time, and is typically expressed in ampere hours (Ah) or coulombs (C). The rated capacity of a battery may be the rated charge of the battery, typically expressed in ampere hours (Ah).
For example, if a battery has a rated capacity of 60Ah and an accumulated discharge charge amount over a period of time of 30Ah, the depth of discharge is:
DOD = (30Ah / 60Ah) × 100% = 50%
this means that the battery has discharged 50% of its total capacity. This value is important for battery state of health and performance monitoring because it reflects the extent of use of the battery.
Further, the capacity loss is obtained from the battery depth of discharge value and the battery average temperature value. Specifically, the capacity loss value may be obtained by a table look-up method or other predetermined algorithm or model. The capacity loss value represents the capacity loss of the battery under certain conditions, and is usually expressed in percentage form. This value may vary depending on the different combinations of battery depth of discharge and temperature, and therefore a correspondence table or model needs to be built to calculate the capacity loss.
In some embodiments, obtaining the current capacity loss from the battery depth of discharge value and the battery average temperature value comprises: and inquiring a capacity loss mapping table according to the battery discharge depth value and the battery average temperature value to obtain the current capacity loss value. The capacity loss mapping table is a mapping table of a battery discharge depth value, a battery average temperature value and a capacity loss value.
In some embodiments, the capacity loss map may be a pre-established table or database containing pre-defined relationships of capacity loss values for different depths of discharge and temperature conditions. This mapping table can be built in battery studies or tests to obtain capacity loss values quickly without the need for complex mathematical calculations or model simulations. The capacity loss value can be easily obtained by inquiring the capacity loss mapping table. This value represents the degree of capacity loss of the battery at the current DOD and average temperature conditions.
Thus, a fast and accurate capacity loss value is provided based on a previously established capacity loss map. This approach makes SOH correction more efficient and reliable without the need for complex computational procedures.
In some embodiments, obtaining the current SOH value of the battery from the current capacity loss value includes: the previous full charge capacity value of the battery is obtained. This value is typically measured after the last time the battery was fully charged and represents the maximum capacity of the battery. For example, the previous full charge value of the battery is 50Ah. This means that the battery has a capacity of 50Ah after the last full charge.
Further, a capacity difference between the previous full capacity value and the current capacity loss value is obtained as the current full capacity value. This value reflects the available capacity of the battery after undergoing a charge-discharge cycle. For example, if the previous full charge capacity value is 50Ah and the current capacity loss value is 2Ah, then the capacity difference is:
capacity difference=50 Ah-2 ah=48 Ah
This value may represent a current full capacity value of 48Ah.
Further, the current SOH value of the battery is obtained by dividing the current full charge capacity value by the design capacity value of the battery. SOH is typically expressed in percent and represents the state of health of the battery. The specific calculation formula is as follows:
soh= (current full charge capacity value/design capacity value of battery) ×100%
This SOH value reflects the current state of health of the battery, with 100% indicating that the battery is intact and a lower percentage indicating that the battery performance is degraded.
For example, assume that the design capacity value of the battery is 60Ah, and the current full capacity value is 48Ah. Then the current SOH value is:
SOH = (48Ah / 60Ah) × 100% = 80%
this represents 80% of the current state of health of the battery.
Fig. 2 is a general flow chart of the SOH correction method according to an embodiment of the present invention, and as shown in fig. 2, the general flow of the SOH correction method at least includes steps S10-S23, specifically as follows.
S10, starting.
S11, judging whether the battery is in a charging mode, if so, entering a step S12, and if not, returning to the step S10
S12, waiting for the first effective charge to stop.
S13, judging whether the first SOC variation value is larger than or equal to a preset SOC value (such as 20%), if so, proceeding to step S14, and if not, proceeding to step S23.
S14, after the first effective charge is completed, counting the discharge charge quantity of the battery.
S15, judging the charge and discharge state of the battery, if the battery is in the charge state, proceeding to step S16, and if the battery is in the non-charge state, returning to step S14.
S16, waiting for the second effective charge to stop.
S17, judging whether the second SOC variation value is larger than or equal to a preset SOC value (such as 20%), if so, entering step S18, and if not, returning to step S14.
S18, calculating accumulated discharge charge quantity and average battery temperature value in the period between the first effective charge and the second effective charge.
S19, calculating the discharge depth of the battery according to the accumulated discharge charge quantity.
And S20, inquiring a capacity loss mapping table according to the battery discharge depth value and the battery average temperature value to obtain the current capacity loss value.
S21, subtracting the current capacity loss value from the previous full capacity value to obtain the current full capacity value.
S22, dividing the current full charge capacity value by the design capacity value of the battery to obtain the current SOH value of the battery.
S23, ending.
In summary, by monitoring the accumulated discharge charge amount and the average temperature value of the battery in the time period between the first effective charge and the second effective charge, the capacity loss of the battery in the time period can be calculated, and the current SOH value of the battery can be calculated according to the current capacity loss value, so that the rapid and accurate SOH correction is realized, the time is saved, the efficiency is high, a complex method related to the internal resistance calculation or the cycle life is not needed, and the accuracy and the reliability of the SOH estimation are improved.
Based on the SOH correction method of the above embodiment, a battery manager of an embodiment of the present invention is described below with reference to fig. 3.
Fig. 3 is a block diagram of a battery manager according to an embodiment of the present invention, and as shown in fig. 3, the battery manager 1 includes: a processor 20 and a memory 10.
Wherein the memory 10 is communicatively connected to the processor 20 for storing computer programs and related data. These memories 10 may include Random Access Memory (RAM), read Only Memory (ROM), flash memory, and the like.
The SOH correction method described in the above embodiments may be implemented when the processor 20 is configured to execute instructions in a computer program, and the processor 20 may be a Central Processing Unit (CPU) or other computing device.
According to the battery manager 1 of the embodiment of the present invention, by performing the SOH correction method described in the above embodiment through processing, based on the accumulated discharge charge amount and the average battery temperature value in the period between the first effective charge and the second effective charge, the capacity loss of the battery in this period can be calculated, and the current SOH value of the battery can be calculated from the capacity loss value, thereby realizing rapid and accurate SOH correction, saving time, being efficient, and improving the accuracy and reliability of SOH estimation without requiring a complicated method involving internal resistance calculation or cycle life.
An energy storage device according to an embodiment of the present invention is described below with reference to fig. 4.
Fig. 4 is a block diagram of an energy storage device according to one embodiment of the present invention, as shown in fig. 4, the energy storage device 100 includes: a battery 2 and a battery manager 1.
The battery 2 is a core component of the energy storage device 100, and is used for storing electric energy. The battery 2 may be various types of batteries, such as a lithium ion battery, a lithium iron phosphate battery, etc., for storing electrical energy for later use.
Specifically, the battery manager 1 is connected to the battery 2, and the battery manager 1 continuously monitors the state of the battery 2, including the state of charge, temperature, charge-discharge cycle, and the like of the battery 2. When the battery manager 1 detects that the SOH value of the battery 2 needs correction, the SOH correction method described in the above embodiment may be performed.
According to the energy storage device 100 of the embodiment of the present invention, the battery manager 1 is connected to the battery 2 and executes the SOH correction method described in the above embodiment, so as to calculate the current SOH value of the battery 2, thereby realizing rapid and accurate SOH correction, saving time and having high efficiency, and improving accuracy and reliability of SOH estimation without a complex method involving internal resistance calculation or cycle life, thereby realizing better battery performance management.
In some embodiments of the present invention, a computer-readable storage medium having stored thereon a computer program which, when executed, implements the SOH correction method of any of the above embodiments is also presented.
According to the computer readable storage medium of the embodiment of the present invention, by storing the computer program for executing the SOH correction method, the SOH value of the battery 2 can be quickly corrected, saving time, with high efficiency, and without the need of a method involving internal resistance calculation or cycle life, thereby improving accuracy and reliability of SOH estimation.
The computer readable storage medium according to the embodiments of the present invention may include, but is not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, and will not be described in detail herein.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A SOH correction method, comprising:
determining that the battery is actively charged once as the first active charge;
after the first effective charge is completed, counting the discharge charge quantity of the battery until the battery is subjected to the next effective charge as a second effective charge;
obtaining an accumulated discharge charge amount of the battery and a battery average temperature value in a period between the first effective charge and the second effective charge;
obtaining a current capacity loss value according to the accumulated discharge charge quantity and the battery temperature value;
and obtaining the current SOH value of the battery according to the current capacity loss value.
2. The SOH correction method according to claim 1, characterized in that determining that the battery is actively charged for the first time, comprises:
determining that the battery is in a charging mode;
after the battery is charged, acquiring a first SOC variation value of a charging process;
if the first SOC variation value is smaller than a preset SOC value, determining that the battery is not subjected to the first effective charging; and
and if the first SOC variation value is larger than or equal to a preset SOC value, determining that the battery is effectively charged for the first time.
3. The SOH correction method according to claim 2, characterized in that, after completion of the first effective charge, counting the battery discharge charge amount until the battery is subjected to the second effective charge, comprising:
counting the amount of discharged charge of the battery after the first effective charge is completed;
judging the charge and discharge states of the battery;
if the battery is in a non-charging state, continuously counting the discharge charge quantity of the battery;
if the battery is in a charging state, acquiring a second SOC variation value of the current charge after the battery is charged;
if the second SOC variation value is smaller than a preset SOC value, continuously counting the discharge charge quantity of the battery; and
and if the second SOC variation value is larger than or equal to a preset SOC value, determining that the battery is effectively charged for the second time.
4. The SOH correction method according to claim 1, characterized in that obtaining an accumulated discharged charge amount of the battery and a battery average temperature value in a period between the first effective charge and the second effective charge, comprises:
taking the sum of the discharge charge amounts of the battery counted each time in the period between the first effective charge and the second effective charge as the accumulated discharge charge amount; and
and counting the temperature value of the battery in the period between the first effective charge and the second effective charge, and calculating the average value of the temperature values of the battery in the period to obtain the average temperature value of the battery.
5. The SOH correction method according to claim 1, characterized in that obtaining a capacity loss from the accumulated discharge charge amount and the battery temperature value, comprises:
obtaining a battery depth of discharge value according to the accumulated discharge charge quantity;
and obtaining the capacity loss according to the battery discharge depth value and the battery average temperature value.
6. The SOH correction method according to claim 5, characterized in that obtaining the current capacity loss from the battery depth of discharge value and the battery average temperature value comprises:
inquiring a capacity loss mapping table according to the battery discharge depth value and the battery average temperature value to obtain the current capacity loss value;
the capacity loss mapping table is a mapping table of the battery depth of discharge value, the battery average temperature value and the capacity loss value.
7. The SOH correction method according to claim 1, characterized in that obtaining a current SOH value of the battery from the current capacity loss value comprises:
acquiring a previous full charge capacity value of the battery;
obtaining a capacity difference value between the previous full capacity value and the current capacity loss value to serve as a current full capacity value; and
and dividing the current full charge capacity value by the design capacity value of the battery to obtain the current SOH value of the battery.
8. A battery manager, comprising:
a processor;
a memory communicatively coupled to the processor;
stored in the memory is a computer program executable by the processor, which when executing the computer program implements the SOH correction method of any one of claims 1-7.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, implements the SOH correction method of any one of claims 1-7.
10. An energy storage device comprising a battery and the battery manager of claim 8, the battery manager being coupled to the battery.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5942878A (en) * | 1996-01-26 | 1999-08-24 | Yamaha Hatsudoki Kabushiki Kaisha | Method and device for reducing memory effect of battery |
| CN105425156A (en) * | 2015-11-06 | 2016-03-23 | 安徽江淮汽车股份有限公司 | Cycle life testing method for power battery |
| US20180106868A1 (en) * | 2016-10-19 | 2018-04-19 | Hyundai Motor Company | Method for estimating a battery state of health |
| CN109143099A (en) * | 2018-11-12 | 2019-01-04 | 潍柴动力股份有限公司 | A kind of method and device of preestimating battery system health |
| CN110605980A (en) * | 2019-09-20 | 2019-12-24 | 吉利汽车研究院（宁波）有限公司 | Energy management method and system based on charging habit of plug-in hybrid electric vehicle |
| CN111123136A (en) * | 2019-12-21 | 2020-05-08 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Online measuring device and online measuring method for health state of lithium ion battery |
| CN111308374A (en) * | 2019-10-15 | 2020-06-19 | 江西恒动新能源有限公司 | Estimation method for SOH value of battery pack state of health |
| CN114567042A (en) * | 2021-03-08 | 2022-05-31 | 谷歌有限责任公司 | Cell fault detection in a battery with parallel cells |
| CN115295903A (en) * | 2022-08-05 | 2022-11-04 | 南京航空航天大学 | Multi-objective optimization-based lithium ion battery rapid charging method |
| CN115980592A (en) * | 2023-02-17 | 2023-04-18 | 华北电力大学 | Battery energy storage system reliability assessment method and system considering battery thermal fault |
| CN116203427A (en) * | 2023-01-05 | 2023-06-02 | 上海交通大学 | Method, device, equipment and storage medium for predicting vehicle-mounted battery health state |
| CN116256650A (en) * | 2021-12-10 | 2023-06-13 | 比亚迪股份有限公司 | Vehicle self-discharge abnormality detection method and device, storage medium, and vehicle controller |
| CN116593896A (en) * | 2023-01-30 | 2023-08-15 | 华北电力大学 | State detection method and system of battery energy storage system and electronic equipment |
-
2023
- 2023-09-06 CN CN202311139834.6A patent/CN116879759A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5942878A (en) * | 1996-01-26 | 1999-08-24 | Yamaha Hatsudoki Kabushiki Kaisha | Method and device for reducing memory effect of battery |
| CN105425156A (en) * | 2015-11-06 | 2016-03-23 | 安徽江淮汽车股份有限公司 | Cycle life testing method for power battery |
| US20180106868A1 (en) * | 2016-10-19 | 2018-04-19 | Hyundai Motor Company | Method for estimating a battery state of health |
| CN109143099A (en) * | 2018-11-12 | 2019-01-04 | 潍柴动力股份有限公司 | A kind of method and device of preestimating battery system health |
| CN110605980A (en) * | 2019-09-20 | 2019-12-24 | 吉利汽车研究院（宁波）有限公司 | Energy management method and system based on charging habit of plug-in hybrid electric vehicle |
| CN111308374A (en) * | 2019-10-15 | 2020-06-19 | 江西恒动新能源有限公司 | Estimation method for SOH value of battery pack state of health |
| CN111123136A (en) * | 2019-12-21 | 2020-05-08 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Online measuring device and online measuring method for health state of lithium ion battery |
| CN114567042A (en) * | 2021-03-08 | 2022-05-31 | 谷歌有限责任公司 | Cell fault detection in a battery with parallel cells |
| CN116256650A (en) * | 2021-12-10 | 2023-06-13 | 比亚迪股份有限公司 | Vehicle self-discharge abnormality detection method and device, storage medium, and vehicle controller |
| CN115295903A (en) * | 2022-08-05 | 2022-11-04 | 南京航空航天大学 | Multi-objective optimization-based lithium ion battery rapid charging method |
| CN116203427A (en) * | 2023-01-05 | 2023-06-02 | 上海交通大学 | Method, device, equipment and storage medium for predicting vehicle-mounted battery health state |
| CN116593896A (en) * | 2023-01-30 | 2023-08-15 | 华北电力大学 | State detection method and system of battery energy storage system and electronic equipment |
| CN115980592A (en) * | 2023-02-17 | 2023-04-18 | 华北电力大学 | Battery energy storage system reliability assessment method and system considering battery thermal fault |
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Application publication date: 20231013 |