CN115407206A - SOH self-adaptive estimation method based on capacity accumulation - Google Patents
SOH self-adaptive estimation method based on capacity accumulation Download PDFInfo
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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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The invention discloses a SOH self-adaptive estimation method based on capacity accumulation, which belongs to the technical field of automobile batteries and comprises the following steps: acquiring rated capacity of a battery system and total available capacity at the current operation time, calculating the SOH value of the current battery system, and accumulating the charge-discharge accumulated capacity in real time; monitoring the voltage state of the battery system in real time, and judging whether the battery system generates a full charge or full discharge event; continuously accumulating the charging accumulated capacity value in the charging process of the battery system, and continuously accumulating the discharging accumulated capacity value in the discharging process of the battery system; a full charge or full discharge event occurs, and the current charge accumulated capacity, the current discharge accumulated capacity, the current time and the current temperature are recorded; calculating a difference value and judging whether the charging and discharging process is effective or not; determining the total available capacity needing to be corrected at this time; and calculating and updating the SOH value of the battery system. The method can support multiple charging and discharging conversion, match various vehicle application scenes in real time and estimate the SOH more accurately.
Description
Technical Field
The invention relates to the technical field of automobile batteries, in particular to a self-adaptive SOH estimation method based on capacity accumulation.
Background
Along with the popularization of new energy automobiles, the service life problem of an electric automobile battery system is more and more emphasized, and the SOH of the battery represents the current health degree of the electric automobile power battery system. The health degree of a battery system is influenced by many factors, including but not limited to the number of charging and discharging times of a power battery, the service life, different charging and discharging temperatures, different self-discharging rates of the battery, and the like, which cause that the available total capacity of the battery is continuously reduced, namely, the SOH value is continuously reduced, while the estimation of the real-time remaining capacity of the battery is generally expressed by the percentage value (SOC) of the remaining capacity to the available total capacity, if the current available total capacity (SOH) of the battery cannot be accurately estimated, the value of the real-time SOC of the battery becomes inaccurate, which seriously affects the driving experience of a user, and therefore, how to accurately estimate the SOH of the battery in real time is of vital significance. One of the important parameters of an electric vehicle is the driving range, and for a battery system, two key parameters affecting the driving range evaluation are the battery health (SOH) and the current remaining capacity (SOC), so that the accuracy of the estimation of the two parameters directly determines the accuracy of the remaining driving range of the battery. The estimation accuracy of the SOC depends on the accuracy of the SOH, so that the estimation accuracy of the SOH becomes important.
The current common SOH estimation methods include: the method comprises an alternating current internal resistance method, a temperature capacity table look-up method, a model method, a capacity curve method and the like, wherein the capacity curve method is determined by carrying out constant current full-charge discharge on the battery for N times through experiments in a battery delivery stage or a laboratory stage.
The alternating current impedance method can obtain each impedance value in the battery, and the internal resistance of the battery directly reflects the SOH condition of the battery, but the current design scheme of the alternating current impedance method is not mature enough, not only needs a large amount of data support, but also has high precision requirement on the design scheme, so the alternating current impedance method is not suitable for being used in actual vehicles. The temperature capacity table look-up method is mainly based on the test of the battery capacity of the battery at different temperatures, and obtains the capacity change data of the battery at different temperatures, but the data only can represent the influence of the temperature on the SOH of the battery, and cannot represent the change rule of the SOH of the battery in the actual use process, and the estimation result has certain inaccuracy. The model method considers various battery aging factors as input, and has relatively high estimation accuracy, but is mainly limited by the hardware capability of the embedded system, and cannot support real-time accumulation of a large amount of battery data, so that the model method cannot be effectively applied to practice. The capacity curve method is generally obtained by charging and discharging at fixed power in a laboratory through a large amount of test data in a laboratory stage and analyzing SOH changes corresponding to different charging and discharging times, and the use condition of an actual vehicle is not considered, so that the adaptive scene of the scheme is limited.
Disclosure of Invention
1. Technical problem to be solved by the invention
The invention provides a capacity accumulation-based SOH self-adaptive estimation method, which aims to solve the problems that the conventional SOH estimation scheme consumes time and labor due to the fact that a large amount of laboratory test data is needed, or battery data information is single and cannot be matched with an actual vehicle running scene, so that calculation is inaccurate.
2. Technical scheme
In order to achieve the above object, the present invention provides a method for adaptive estimation of SOH based on capacity accumulation, comprising the steps of:
s1, acquiring rated capacity C of battery system Forehead (D) The total available capacity at the current operating time is C General (1) Calculating the SOH value of the current battery system, and accumulating the charge and discharge accumulated capacity in real time according to the charge and discharge current state;
s2, monitoring the voltage state of the battery system in real time, judging whether the battery system generates a full charge or full discharge event, starting an SOH estimation method when the battery system generates the full discharge or full charge event, and recording the current SOH estimation methodCharge accumulation capacity C of Charger 0 Discharge cumulative capacity C Put 0 Current time t 0 And the current temperature T 0 ；
S3, continuously accumulating the accumulated charging capacity value C in the charging process of the battery system Charging device Continuously accumulating the discharge accumulated capacity value C during the discharge of the battery system Placing the During the charging and discharging process, the current temperature and T are calculated and recorded in real time 0 Is measured;
s4, when charging and discharging at a certain time, generating a full charge or full discharge event, and if the battery system passes through a complete process from full charge to full charge or from full charge to full discharge, recording the current charge accumulated capacity C Charger 1 Discharge accumulation capacity C Put 1 Current time t 1 ；
S5, respectively calculating the following parameter values between S2 and S4: charge accumulated capacity difference: delta C Charging device The discharge cumulative capacity difference: delta C Placing the And temperature difference: Δ T, time difference: Δ t;
s6, judging whether the complete charging and discharging process is effective or not, if so, estimating SOH, and if not, returning to the step S2;
s7, calculating the current total available capacity C 'of the battery system' General assembly Further, the total available capacity difference Δ C required to be corrected at this time is calculated, and the total available capacity C required to be corrected at this time is determined Repair the ；
S8, calculating and updating the SOH value of the battery system, wherein the calculation formula is as follows:
further, in the step S1,
according to the charging and discharging current state, the charging and discharging accumulated capacity is accumulated in real time, and the specific calculation formula is as follows:
wherein C is the accumulated capacity, i is the current charge and discharge current valueDt is the task running period for calculating the cumulative capacity, and t is the cumulative time.
Further, the resolution of the accumulation volume is 0.1Ah/bit.
Further, in the step S2, if the battery system discharges to the lower limit of the voltage protection, it is determined that the battery is fully discharged; conversely, if the battery system is charged to the upper voltage protection limit, the battery is considered to be fully charged.
Further, in the step S3, before the next full charge or full discharge is not reached, the switching of the charge-discharge state is supported for many times, and the accumulated capacity in the corresponding state is continuously integrated in real time to meet the switching of the application scenarios of the battery system.
Further, in step S4, if a full charge event occurs during charging and discharging of a certain time and a full discharge event occurs when the SOH estimation method is started, or a full charge event occurs during a full discharge event and a full charge event occurs when the SOH estimation method is started, it is determined that the battery system is used through one or more times of charging and discharging, and a complete process from full charge to full charge or from full charge to full discharge is recorded.
Further, in step S4, if a full charge event occurs when the battery full charge event occurs and the SOH estimation method is started, or a full discharge event occurs when the battery full discharge event occurs and the SOH estimation method is started, the process returns to step S2 to restart the estimation method.
Further, in step S5, the parameters are calculated as follows:
charge accumulated capacity difference: delta C Charging device ＝C Charger 1 -C Charger 0 (3)，
Difference in discharge cumulative capacity: delta C Put ＝C Put 1 -C Put 0 (4)，
Temperature difference: Δ T = real time temperature and T during the whole charging and discharging process 0 The maximum temperature difference value (5) of (c),
time difference: Δ t = t 1 -t 0 (6)。
Further, in the step S6, the determination condition is:
ΔC charging device ≥C Tired min (7) Or Δ C Placing the ≥C Tired min (8)，
ΔT≤T max (9)，
Δt≤t max (10)；
Wherein, C Tired min To allow a minimum effective threshold value for the estimated cumulative capacity difference, T max To allow an estimated maximum temperature difference threshold, t max If the conditions are met, the SOH estimation parameters recorded in the complete charging and discharging process are considered to be effective.
Further, in step S7, the new current total available capacity is: c' General assembly ＝|ΔC Charging device -ΔC Put | (11)，
The total available capacity difference to be corrected at this time is: Δ C = C General assembly -C′ General assembly (12)，
If Δ C.gtoreq.0 Repair the ＝C General assembly -min(|ΔC|,|ΔC max |) (13)，
If Δ C is less than or equal to 0 Repair the ＝C General assembly +min(ΔC,ΔC max ) (14)，
Wherein, is max The maximum value is allowed to be corrected for the total available capacity in a single pass.
3. Advantageous effects
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
(1) According to the SOH self-adaptive estimation method based on the capacity accumulation, the full charge and full discharge events are monitored in real time from S1 to S8, and the requirement of full charge to full discharge or full discharge to full charge is met after multiple charge-discharge conversion, so that the correction of the SOH is triggered, the SOH self-adaptive estimation method is independent of complex battery experimental data, simple in calculation and low in resource consumption.
(2) According to the SOH self-adaptive estimation method based on the capacity accumulation, disclosed by the invention, the fully charged or fully discharged state of the battery is judged according to the protection upper limit value or lower limit value of the charging voltage of the battery system, so that the judgment accuracy can be ensured. And before the battery system does not reach the next full charge or full discharge, the switch of charging and discharging for many times is supported, the accumulated capacity in the corresponding state can be continuously integrated in real time, the switch of application scenes of the battery system is met, various vehicle application scenes can be matched in real time, the practical vehicle service condition is better met, and the practicability is high.
(3) According to the SOH self-adaptive estimation method based on the capacity accumulation, when charging and discharging are carried out for a certain time, if a battery full charge event occurs and a full discharge event occurs when the SOH estimation method is started, or the battery full discharge event occurs and the full charge event occurs when the SOH estimation method is started, the battery system is considered to be used through one or more times of charging and discharging, and the fact that the method supports that full charge-to-full discharge or full discharge-to-full charge conditions can be obtained only through a plurality of times of charging and discharging is proved, the estimation process depends on the actual use condition of the battery system, the actual use condition of the battery system is met, and the estimation accuracy of the SOH under the corresponding use scene is improved.
(4) If a battery full charge event occurs and a full charge event also occurs when the SOH estimation method is started, or a battery full discharge event occurs and a full discharge event also occurs when the SOH estimation method is started, the method returns to S2 and restarts the estimation method. By the method, the battery system can be ensured to generate a full discharge or full charge event, the subsequent SOH estimation of the capacity accumulation is more accurate, and the accuracy of the remaining endurance mileage of the battery is improved.
Drawings
In the drawings, the size and the proportion do not represent the size and the proportion of an actual product. The figures are merely illustrative and certain unnecessary elements or features have been omitted for clarity.
FIG. 1 is a schematic diagram of a full charge to full bleed process of the present invention;
FIG. 2 is a schematic view of a full charge process of the present invention;
FIG. 3 is a schematic diagram of the SOH correction process according to the present invention.
Detailed Description
For a further understanding of the invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples. What has been described herein is merely a preferred embodiment in accordance with the present invention and other ways of practicing the invention will occur to those skilled in the art and are within the scope of the invention.
Example 1
The embodiment provides a SOH self-adaptive estimation method based on capacity accumulation, which comprises the following steps:
s1, assuming factory rated capacity C of a certain battery pack Forehead (D) 100Ah, the total available capacity at the current operating time is C General assembly At 100Ah, the SOH value of the current battery system is substituted into equation (1) to be 100%:
s2, assume on day n 12:00, when the battery system discharges to the lower limit value of voltage protection, the battery is considered to be fully discharged, the SOH estimation method is started, and the current charge accumulated capacity C is recorded Charger 0 500Ah, discharge cumulative capacity C Put 0 500Ah, current time n day 12:00 and the current temperature T 0 The temperature was 30 ℃.
S3, 13, in the nth day of the battery system: 00 to 18:00 charging, the battery capacity is charged from 0% to 80%, this time period and T 0 The maximum temperature difference of (1) is 5 ℃, so that Δ T =5 ℃, and the charge accumulation capacity is determined by
Increasing from 500Ah to 580Ah.
Day n + 18:00 to 11:00 and the battery capacity is discharged from 80% to 30%, this time period is T 0 The maximum temperature difference of (d) is 7 ℃, so Δ T =7 ℃, the discharge cumulative capacity is increased from 500Ah to 550Ah according to equation (2).
Day n +1 14:00 to 17:00 charging, the battery capacity is charged from 30% to 60%, the time period and T 0 The maximum temperature difference of (3) is 5 ℃, so Δ T =7 ℃, and the charge accumulation capacity is increased from 580Ah to 610Ah according to the formula (2).
Day n +1 17:00 to 19:00 discharging, batteryThe electric quantity is discharged from 60% to 40%, and the time period is T 0 The maximum temperature difference of (3) is 6 ℃, so Δ T =7 ℃, and the discharge cumulative capacity is increased from 550Ah to 570Ah according to the formula (2).
Day n +1 19:00 to 24:00, charging the battery to the upper limit value of the battery system protection from 40 percent, the time period and T 0 The maximum temperature difference of (a) is 3 ℃, so Δ T =7 ℃, and the charge accumulation capacity is increased from 610Ah to 669Ah according to the formula (2).
S4, 24, in the n +1 th day of the battery system: 00 full charge events occurred, and a complete process from full charge to full charge was recorded after 2 days of multiple charging and discharging. Recording the current charge accumulation capacity C Charger 1 =669Ah, discharge accumulation capacity C Placing 1 =570Ah, current time t 1 Day n +1 24:00 real time temperature and T in the whole process 0 The maximum temperature difference of (a) is 7 ℃, so Δ T =7 ℃, and S5 is entered.
S5, charge accumulated capacity difference:
according to the formula (3), Δ C Charging device ＝C Charger 1 -C Charger 0 ＝669Ah–500Ah＝169Ah
Difference in discharge cumulative capacity:
according to equation (4), Δ C Put ＝C Put 1 -C Put 0 ＝570Ah–500Ah＝70Ah
Temperature difference:
Δ T =7 ℃ according to equation (5)
Time difference:
Δ t = t according to equation (6) 1 -t 0 24 on day n + 1: 00-nth day 12:00=36 hours
S6, supposing:
C tired min ＝70Ah
T max ＝20℃
t max =5 days
From the result of the data calculation in S5 in this embodiment, compared with the assumed data in S6 in this step, it can be found that:
ΔC charging device ≥C Tired min Equation (7)
ΔC Put ≥C Tired min Equation (8)
ΔT≤T max Equation (9)
Δt≤t max The formula (10),
then, the above conditions are all satisfied, and the process proceeds to step S7.
S7, calculating the new current total available capacity difference of the battery system according to the charging accumulated capacity difference and the discharging accumulated capacity difference as follows: c' General (1) ＝|ΔC Charging (CN) -ΔC Placing the I | =169Ah-70ah =99ah, equation (11), and the total available capacity difference that needs to be corrected this time can be calculated as: Δ C = C General assembly -C′ General assembly =100Ah-99ah =1ah, equation (12). Assuming that the total available capacity rhyme allows for a correction of maximum 2Ah, C Repair the ＝C General assembly -min(|ΔC|,|ΔC max |) =100Ah-1ah =99ah, equation (13).
S8, according to the formula
That is, the present invention detects that the current SOH value of the battery system has a 1% error and corrects it to be more accurate 99%.
Example 2
A SOH self-adaptive estimation method based on capacity accumulation comprises the following steps:
s1, assuming factory rated capacity C of a certain battery pack Forehead (D) 100Ah, the total available capacity at the current operating time is C General (1) At 100Ah, the SOH value of the current battery system is substituted into 100% in equation (1):
s2, on day n 12:00, when the battery system is charged to the upper limit value of the voltage protection, the battery is considered to be fully charged, the SOH estimation method is started, and the current charge accumulated capacity C is recorded Charger 0 500Ah, discharge cumulative capacity C Put 0 Is 500Ah. The current time was day n 12:00 and the current temperature T 0 The temperature was 30 ℃.
S3, 13, in the nth day of the battery system: 00 to 18:00 and the battery capacity is discharged from 100% to 80%, and the time period is T 0 The maximum temperature difference of (1) is 7 ℃, so that Δ T =7 ℃, and the cumulative discharge capacity is determined by
Increasing from 500Ah to 520Ah.
Day n + 18:00 to 11:00 and the battery capacity is discharged from 80% to 30%, this time period is T 0 The maximum temperature difference of (d) is 5 ℃, so Δ T =7 ℃, the discharge cumulative capacity is increased from 520Ah to 570Ah according to equation (2).
Day n +1 14:00 to 17:00 charging, the battery capacity is charged from 30% to 60%, the time period and T 0 The maximum temperature difference of (3) is 6 ℃, so Δ T =7 ℃, and the charge accumulation capacity is increased from 500Ah to 530Ah according to the formula (2).
Day n +1 17:00 to 19:00, the battery capacity is discharged from 60% to 40%, and the discharge cumulative capacity is increased from 570Ah to 590Ah according to the formula (2).
Day n +1 20:00 to 24:00, the battery capacity is put to the lower limit value of the battery system protection from 40 percent, and the time period and the T are 0 The maximum temperature difference of (a) is 5 ℃, so Δ T =7 ℃, the discharge cumulative capacity is increased from 590Ah to 629Ah according to the formula (2).
S4, 24, in the n +1 th day of the battery system: 00 full discharge happens, and a complete process from full charge to full discharge is recorded after 2 days of repeated charge and discharge. Recording the current charge accumulation capacity C Charger 1 =530Ah, discharge accumulation capacity C Put 1 =629Ah, current time t 1 24 on day n + 1:00 real-time temperature and T in the whole charging and discharging process 0 The maximum temperature difference of (2) is 7 ℃ and enters S5.
S5, charge accumulated capacity difference:
according to the formula (3), Δ C Charging device ＝C Charger 1 -C Charger 0 ＝530Ah–500Ah＝30Ah
Difference in discharge cumulative capacity:
according to equation (4), Δ C Put ＝C Put 1 -C Put 0 ＝629Ah–500Ah＝129Ah
Temperature difference:
Δ T =7 ℃ according to equation (5)
Time difference:
Δ t = t according to formula (6) 1 -t 0 24 on day n + 1: 00-nth day 12:00=36 hours
S6, supposing:
C tired min ＝70Ah
T max ＝20℃
t max =5 days
From the result of the data calculation in S5 in this embodiment, compared with the assumed data in S6 in this step, it can be found that:
ΔC charging device ≤C Tired min Does not satisfy Δ C Charging device ≥C Tired min Equation (7)
ΔC Put ≥C Tired min Equation (8)
ΔT≤T max Equation (9)
Δt≤t max The formula (10),
above condition Δ C Charging (CN) ≥C Tired min While equation (7) is not satisfied, Δ C Put ≥C Tired min The condition is satisfied, and therefore, the process may proceed to step S7.
S7, calculating the new current total available capacity difference of the battery system according to the charge accumulated capacity difference and the discharge accumulated capacity difference as follows: c' General assembly ＝|ΔC Charging device -ΔC Placing the I | =129Ah-30ah =99ah, formula (11), and then the total available capacity difference which needs to be corrected at this time can be calculated as: Δ C = C General assembly -C′ General assembly =100Ah-99ah =1ah, equation (12). Assuming that the total available capacity rhyme allows for a correction of maximum 2Ah, C Repair the ＝C General assembly -min(|ΔC|,|ΔC max |) =100Ah-1ah =99ah, equation (13).
S8, according to the formula
That is, the present invention detects that the current SOH value of the battery system has a 1% error and corrects it to be more accurate 99%.
The invention and its embodiments have been described above schematically, without limitation, and the invention can be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The representation in the drawings is only one of the embodiments of the invention, the actual construction is not limited thereto, and any reference signs in the claims shall not limit the claims concerned. Therefore, without departing from the spirit of the present invention, a person of ordinary skill in the art should also understand that the present invention shall not be limited to the embodiments and the similar structural modes of the present invention. Furthermore, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Several of the elements recited in the product claims may also be implemented by one element in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (10)
1. A SOH self-adaptive estimation method based on capacity accumulation is characterized by comprising the following steps:
s1, obtaining rated capacity C of battery system Forehead (forehead) The total available capacity at the current operating time is C General (1) Calculating the SOH value of the current battery system, and accumulating the charge-discharge accumulated capacity in real time according to the charge-discharge current state;
s2, monitoring the voltage state of the battery system in real time, judging whether the battery system generates a full charge or full discharge event, starting an SOH estimation method when the battery system generates the full discharge or full charge event, and recording the current charging accumulated capacity C Charger 0 Discharge accumulation capacity C Put 0 Current time t 0 And the current temperature T 0 ；
S3, continuously accumulating the accumulated charging capacity value C in the charging process of the battery system Charging device Continuously accumulating the discharge accumulated capacity value C during the discharge of the battery system Placing the In the process of charging and discharging, the current temperature and T are calculated and recorded in real time 0 Is measured;
s4, when charging and discharging at a certain time, generating a full charge or full discharge event, and if the battery system passes through a complete process from full charge to full charge or from full charge to full discharge, recording the current charge accumulated capacity C Charger 1 Discharge accumulation capacity C Put 1 Current time t 1 ；
S5, respectively calculating the following parameter values between S2 and S4: charge accumulated capacity difference: delta C Charging (CN) The discharge cumulative capacity difference: delta C Put And temperature difference: Δ T, time difference: Δ t;
s6, judging whether the complete charging and discharging process is effective or not, if so, estimating SOH, and if not, returning to the step S2;
s7, calculating the current total available capacity C 'of the battery system' General assembly Further, the total available capacity difference Δ C required to be corrected at this time is calculated, and the total available capacity C required to be corrected at this time is determined Repair the ；
S8, calculating and updating the SOH value of the battery system, wherein the calculation formula is as follows:
2. the adaptive estimation method for SOH based on capacity accumulation according to claim 1, wherein in the step S1,
according to the charging and discharging current state, the charging and discharging accumulated capacity is accumulated in real time, and the specific calculation formula is as follows:
wherein C is the accumulated capacity, i is the current charge-discharge current value, dt is the task operation period for calculating the accumulated capacity, and t is the accumulated time.
3. The adaptive SOH estimation method based on capacity accumulation according to claim 2, wherein the resolution of the accumulated capacity is 0.1Ah/bit.
4. The adaptive estimation method for SOH based on capacity accumulation according to claim 1, wherein in step S2, if the battery system is discharged to the lower limit of voltage protection, the battery is considered to be fully discharged; conversely, if the battery system is charged to the upper voltage protection limit, the battery is considered to be fully charged.
5. The adaptive estimation method for SOH based on capacity accumulation as claimed in claim 1, wherein in step S3, before the next full charge or full discharge is not reached, the accumulated capacity in the corresponding state is continuously integrated in real time to meet the switching of the application scenarios of the battery system, supporting the switching of the charge and discharge states for many times.
6. The adaptive SOH estimation method based on capacity accumulation as claimed in claim 1, wherein in step S4, if a full charge event occurs when the battery is fully charged and the SOH estimation method is started or a full charge event occurs when the battery is fully discharged and the SOH estimation method is started at a certain time of charging and discharging, the battery system is considered to be used through one or more times of charging and discharging, and a complete process from full charge to full charge or from full charge to full discharge is recorded.
7. The adaptive SOH estimation method based on capacity accumulation according to claim 1, wherein in step S4, if a full charge event occurs when the battery full charge event occurs and the SOH estimation method is started, or a full discharge event occurs when the battery full discharge event occurs and the SOH estimation method is started, the method returns to S2 to restart the estimation method.
8. The adaptive SOH estimation method based on capacity accumulation according to claim 1, wherein in the step S5, the parameters are calculated as follows:
charge accumulated capacity difference: delta C Charging device ＝C Charger 1 -C Charger 0 (3)，
Difference in discharge cumulative capacity: delta C Put ＝C Put 1 -C Put 0 (4)，
Temperature difference: Δ T = real time temperature and T in the whole charging and discharging process 0 The maximum temperature difference value (5) of (c),
time difference: Δ t = t 1 -t 0 (6)。
9. The adaptive estimation method for SOH based on capacity accumulation according to claim 1, wherein in the step S6, the judgment condition is:
ΔC charging (CN) ≥C Tired min (7) Or Δ C Put ≥C Tired min (8)，
ΔT≤T max (9)，
Δt≤t max (10)；
Wherein, C Tired min To allow a minimum effective threshold for the estimated cumulative capacity difference, T max To allow an estimated maximum temperature difference threshold, t max If the conditions are met, the SOH estimation parameters recorded in the complete charging and discharging process are considered to be effective.
10. The adaptive estimation method for SOH based on capacity accumulation according to claim 1, wherein in step S7, the new current total available capacity is: c' General (1) ＝|ΔC Charging (CN) -ΔC Put | (11)，
The total available capacity difference required to be corrected at this time is as follows: Δ C = C General (1) -C′ General (1) (12)，
If Δ C.gtoreq.0 Repair the ＝C General assembly -min(|ΔC|，|ΔC max |) (13)，
If Δ C is less than or equal to 0 Repair the ＝C General assembly +min(ΔC，ΔC max ) (14)，
Wherein, is max The maximum value is allowed to be corrected for the total available capacity in a single pass.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116872791A (en) * | 2023-07-14 | 2023-10-13 | 合肥力高动力科技有限公司 | Estimation method of SOH of power battery |
| CN117471340A (en) * | 2023-12-27 | 2024-01-30 | 中航锂电（洛阳）有限公司 | Method and system for estimating capacity retention rate of battery system |
| CN118011225A (en) * | 2024-04-08 | 2024-05-10 | 瑞浦兰钧能源股份有限公司 | Method and device for correcting chargeable and dischargeable capacity, storage medium and electronic device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116872791A (en) * | 2023-07-14 | 2023-10-13 | 合肥力高动力科技有限公司 | Estimation method of SOH of power battery |
| CN116872791B (en) * | 2023-07-14 | 2024-01-30 | 合肥力高动力科技有限公司 | Estimation method of SOH of power battery |
| CN117471340A (en) * | 2023-12-27 | 2024-01-30 | 中航锂电（洛阳）有限公司 | Method and system for estimating capacity retention rate of battery system |
| CN117471340B (en) * | 2023-12-27 | 2024-04-02 | 中航锂电（洛阳）有限公司 | Method and system for estimating capacity retention rate of battery system |
| CN118011225A (en) * | 2024-04-08 | 2024-05-10 | 瑞浦兰钧能源股份有限公司 | Method and device for correcting chargeable and dischargeable capacity, storage medium and electronic device |
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