CN108279382B - Battery health state detection method and device - Google Patents
Battery health state detection method and device Download PDFInfo
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- CN108279382B CN108279382B CN201710006091.3A CN201710006091A CN108279382B CN 108279382 B CN108279382 B CN 108279382B CN 201710006091 A CN201710006091 A CN 201710006091A CN 108279382 B CN108279382 B CN 108279382B
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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]
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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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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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
Abstract
The invention discloses a method and a device for detecting the health state of a battery, wherein the method comprises the following steps: continuously acquiring the voltage value and the capacity value of the battery to be tested at the same time according to a set sampling period; respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice; determining a ratio of the capacity difference and the voltage difference; and acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient. The invention realizes the on-line detection of the health degree of the battery and effectively reduces the detection time.
Description
Technical Field
The invention relates to the field of battery detection, in particular to a method and a device for detecting the health state of a battery.
Background
The degree of battery aging is also called battery State of Health (SOH), and refers to the ratio of the discharged capacity of a fully charged battery to the nominal capacity, which represents the capacity of the battery to store the capacity. The SOH gradually decreases as the battery ages and is used, as is well established in IEEE standard 1188-.
Measurement of battery SOH is typically done by detecting changes in internal resistance to estimate battery aging or by a full discharge method.
Generally, the aging of the battery and the change of the internal resistance of the battery have a direct relation, but the internal resistance of the battery is very small and has a great relation with the current electric quantity, temperature and charging and discharging conditions, so that the detection of the internal resistance is very difficult, and the relatively accurate internal resistance can be estimated only under the condition of ensuring that various environments are very stable. Therefore, the measurement is generally performed by a complete discharge method in consideration of the accuracy of the measurement result. However, the full discharge method can be tested only off-line and requires a long test time.
Disclosure of Invention
In order to overcome the defects of the prior art, the present invention provides a method and a device for detecting the state of health of a battery, which are used for realizing online detection of the state of health of the battery.
In order to solve the above technical problem, a method for detecting a state of health of a battery according to the present invention includes:
collecting a voltage value and a capacity value of a battery to be tested at the same time;
respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice;
determining a ratio of the capacity difference and the voltage difference;
and acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient.
Optionally, the step of calculating the capacity difference value and the voltage difference value according to the voltage value and the capacity value acquired twice includes:
when the difference value between the voltage value acquired at the nth time and the voltage value acquired at the 1 st time reaches a preset voltage difference threshold value, respectively calculating a capacity difference value and a voltage difference value according to the voltage value acquired at the nth time and the voltage value acquired at the 1 st time; the collection in each battery health state detection is the 1 st collection, and n is a natural number greater than 1.
Optionally, before the step of collecting the voltage value and the capacity value of the battery to be tested at the same time, the method further includes:
when the battery to be tested is in a charging state, stopping collecting the voltage value and the capacity value at the same time, and abandoning the collected voltage value and capacity value;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
Optionally, the manner of presetting the corresponding relationship between the ratio and the aging coefficient includes:
carrying out aging test on a set number of batteries with the same type as the batteries to be tested;
obtaining a typical aging curve according to the aging test; the aging curve is a curve corresponding to the electric quantity change cyclic accumulated value and the aging coefficient;
determining a slope corresponding to each electric quantity change cycle accumulated value according to the aging curve, wherein the slope is the ratio of the capacity difference value to the voltage difference value;
and setting a corresponding relation between the ratio and the aging coefficient according to the slope and the aging curve.
Specifically, the step of obtaining a typical aging curve according to the aging test includes:
recording each electric quantity change cycle accumulated value of each battery and aging coefficient information respectively corresponding to each electric quantity change cycle accumulated value;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting typical aging coefficients corresponding to the same electric quantity change cyclic accumulated values from the corresponding aging coefficient ranges;
and determining a typical aging curve according to the typical aging coefficients respectively corresponding to the same electric quantity change cyclic accumulated values.
Optionally, before the step of collecting the voltage value and the capacity value of the battery to be tested at the same time, the method further includes:
periodically collecting the electric quantity value of the battery to be tested;
determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value;
acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested;
the step of obtaining the aging coefficient corresponding to the determined ratio according to the corresponding relationship between the preset ratio and the aging coefficient includes:
and acquiring the aging coefficient corresponding to the determined ratio within the aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
Specifically, the step of determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value includes:
loading the corresponding electric quantity change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining a cyclic accumulated value of electric quantity change according to the collected electric quantity value;
and determining the determined charge amount change cycle accumulation value as the current charge amount change cycle accumulation when the determined charge amount change cycle accumulation value is increased relative to the loaded charge amount change cycle accumulation value by a set calculation threshold value.
In order to solve the above technical problem, a battery health status detection apparatus according to the present invention includes:
the sampling module is used for acquiring the voltage value and the capacity value of the battery to be tested at the same time;
the parameter calculation module is used for respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice;
a slope determination module for determining a ratio of the capacity difference to the voltage difference;
and the aging determining module is used for acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient.
Optionally, the parameter calculation module is specifically configured to, when a difference between the voltage value acquired at the nth time and the voltage value acquired at the 1 st time reaches a preset voltage difference threshold, respectively calculate the capacity difference value and the voltage difference value according to the voltage value and the capacity value acquired at the nth time and the capacity value acquired at the 1 st time; wherein the collection in each battery health state detection is the 1 st collection, and n is a natural number greater than 1.
Optionally, the sampling module is specifically configured to, when the battery to be tested is in a charging state, stop collecting the voltage value and the capacity value at the same time, and discard the collected voltage value and capacity value;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
Optionally, the apparatus further comprises a loop accumulation module, the loop accumulation module comprising:
the typical curve acquisition module is used for acquiring a typical aging curve according to the aging test; the aging curve is a curve corresponding to the electric quantity change cyclic accumulated value and the aging coefficient;
the slope detection module is used for determining the slope corresponding to each electric quantity change cycle accumulated value according to the aging curve, and the slope is the ratio of the capacity difference value to the voltage difference value;
and the setting module is used for setting the corresponding relation between the ratio and the aging coefficient according to the slope and the aging curve.
Specifically, the typical curve obtaining module is specifically configured to record each electric quantity change cycle accumulated value of each battery and aging coefficient information respectively corresponding to the electric quantity change cycle accumulated value;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting typical aging coefficients corresponding to the same electric quantity change cyclic accumulated values from the corresponding aging coefficient ranges;
and determining a typical aging curve according to the typical aging coefficients respectively corresponding to the same electric quantity change cyclic accumulated values.
Optionally, the sampling module is further configured to periodically acquire an electric quantity value of the battery to be tested;
the aging determination module is specifically used for determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value; acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested; and acquiring the aging coefficient corresponding to the determined ratio within the aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
Specifically, the aging determination module is further configured to load a corresponding electric quantity change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining a cyclic accumulated value of electric quantity change according to the collected electric quantity value;
and determining the determined charge amount change cycle accumulation value as the current charge amount change cycle accumulation when the determined charge amount change cycle accumulation value is increased relative to the loaded charge amount change cycle accumulation value by a set calculation threshold value.
The invention has the following beneficial effects:
the method and the device determine the ratio of the capacity difference value to the voltage difference value; and acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient, thereby realizing the online detection of the health degree of the battery, and effectively reducing the detection time compared with a complete discharge method.
Drawings
FIG. 1 is a flow chart of a battery state of health detection method according to an embodiment of the present invention;
FIG. 2 is a series of N in an embodiment of the present inventionsocA graph corresponding to λ;
FIG. 3 is a schematic diagram of curves α, β, γ of different aging degrees of the same battery after different charge and discharge cycles in the embodiment of the present invention;
FIG. 4 is a flow chart illustrating abort detection in an embodiment of the present invention;
FIG. 5 is a graph showing the aging curve of the same battery after 1000 charge-discharge cycles in the new state according to the embodiment of the present invention;
FIG. 6 is a flowchart illustrating a cyclic accumulation method according to an embodiment of the present invention;
FIG. 7 is a detailed flow chart of a slope method in an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a battery state of health detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to realize the online detection of the battery health degree, the invention provides a battery health state detection method and a battery health state detection device, and the invention is further described in detail below with reference to the accompanying drawings and an embodiment. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
As shown in fig. 1, a first embodiment of the present invention provides a battery state of health detection method, including:
s101, continuously collecting a voltage value and a capacity value of a battery to be detected at the same time according to a set sampling period; the size of the sampling period can be set according to actual conditions.
S102, respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice;
s103, determining the ratio of the capacity difference value to the voltage difference value;
and S104, acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient.
The embodiment of the invention determines the ratio of the capacity difference value to the voltage difference value; and acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient, thereby realizing the online detection of the health degree of the battery.
Further, in the prior art, the measurement is generally performed by a complete discharge method based on the consideration of the accuracy of the measurement result. However, the full discharge method can only perform off-line testing and needs long testing time, and compared with the full discharge method, the embodiment of the invention effectively reduces the detection time and realizes real-time on-line detection.
That is, N obtained by testing in advance in the embodiment of the present inventionsocA series of cell voltages at recording points of λ -available capacity Vbat-Capacity data; further, by actually measuring the slope of delta V-delta C, the slope is compared with the voltage-available capacity V obtained by the previous testbatThe Capacity data is normalized to obtain the N closest to the slopesoc-the recorded point of λ, thus obtaining the corresponding aging factor. Wherein N issocThe method refers to the cyclic accumulated value of the electric quantity change, lambda is the battery aging coefficient, delta V is the voltage difference value, and delta C is the capacitance difference value.
On the basis of the above-mentioned embodiment, a modified embodiment of the above-mentioned embodiment is further proposed, and it is to be noted here that, in order to make the description brief, only the differences from the above-mentioned embodiment are described in each modified embodiment.
In one embodiment of the present invention, the correspondence of the ratio to the aging factor is preset according to the Δ V- Δ C slope method. That is, the way of the corresponding relationship between the preset ratio and the aging coefficient includes:
carrying out aging test on a set number of batteries with the same type as the batteries to be tested;
obtaining a typical aging curve according to the aging test; the aging curve reflects the corresponding relation between the electric quantity change cyclic accumulated value and the aging coefficient; that is to say, the aging curve is specifically a curve of each charge amount change cycle accumulated value and the aging coefficient corresponding to the charge amount change cycle accumulated value.
Determining a slope corresponding to each electric quantity change cycle accumulated value according to the aging curve, wherein the slope is the ratio of the capacity difference value to the voltage difference value;
and setting a corresponding relation between a ratio and an aging coefficient according to the slope and the aging curve.
Further, the aging test of the battery according to the method of accumulating the variation of the electric quantity, that is, the step of obtaining a typical aging curve according to the aging test, according to the embodiment of the present invention, includes:
recording each electric quantity change circulation accumulated value of each battery and corresponding aging coefficient information according to the set accumulated value change step;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting a typical aging coefficient value corresponding to each same electric quantity change cycle accumulated value from a corresponding aging coefficient range;
and determining a typical aging curve according to the typical aging coefficient value corresponding to each same electric quantity change cyclic accumulated value.
In another embodiment of the present invention, before the step of acquiring the voltage value and the capacity value of the battery to be tested at the same time, the method further includes:
periodically collecting the electric quantity value of the battery to be tested;
determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value;
acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested according to the corresponding relation between the preset electric quantity change cyclic accumulated value and the aging coefficient range;
the step of obtaining the aging coefficient corresponding to the determined ratio according to the corresponding relationship between the preset ratio and the aging coefficient includes:
and acquiring the aging coefficient corresponding to the determined ratio within the aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
Further, the step of determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value comprises:
loading a corresponding electric quantity change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining a cyclic accumulated value of electric quantity change according to the collected electric quantity value; the method specifically comprises the following steps: and when the collected electric quantity value reaches a set accumulation threshold value every time, adding 1 to the electric quantity change cyclic accumulation value.
And determining the determined charge amount change cycle accumulation value as the current charge amount change cycle accumulation when the determined charge amount change cycle accumulation value is increased relative to the loaded charge amount change cycle accumulation value by a set calculation threshold value.
Brief description of the invention the implementation principle of the invention is as follows:
and according to the influence of SOC (State of Capacity) change on aging, performing aging detection by a method of accumulating electric quantity change. The effect of the change of the SOC in different voltage or charge stages on the battery aging is different, so that it is necessary to add an aging factor to the change of the voltage or SOC in different stages. According to the theory of the cyclic accumulation method, the following algorithm can be obtained:
λ＝1-a*Nsoc
wherein λ is a battery aging coefficient; n is a radical ofsocRefers to the cyclic accumulated value of the change of electricity, wherein, every 1 percent of the change of electricity, NsocThen 1 is added; a is the proportion of the charge that brings about a certain aging for every 1% change. For example, when the battery in the terminal leaves the factory, NsocThe value is 0. Accumulating after leaving the factory, assuming that the factory electricity quantity is 50%, the user continuously uses the electricity quantity to 10%, and the value is 40; if the user charges to 100% again, the value is accumulatedTo 140 (i.e., 100+ 40).
As can be seen in FIG. 2, a series of N's can be obtainedsoc- λ coordinate, since the aging rate is not linear, the aging at different accumulation amounts is calculated from the charge and discharge SOC accumulation amount. I.e. the accumulated aging factor is continuously updated according to the accumulated amount. Meanwhile, a batch of batteries (set number) are used for aging test, the obtained aging coefficient is high or low, and a series of aging coefficient ranges [ lambda ] are recorded according to the change of the charge and discharge SOC accumulation amountlow，λhigh]Meanwhile, a typical discharge curve is also found to calculate a specific aging coefficient, so that the aging coefficient range and the typical aging value of the battery can be obtained through the cyclic accumulation method. This provides for the next accurate calculation of SOH.
In particular, the aging factor range [ lambda ]low，λhigh]Or taking a coefficient in the interval next to the charging rule of the user as a typical aging coefficient. For example, as shown in FIG. 2, the aging interval is 0.6-0.65, and the current N can be found by calculating the median to obtain 0.625socAnd an aging factor of 0.625, or even an aging value. But in order to further verify the aging coefficient in a dual way by another method, based on the typical curve, the typical aging coefficient is abandoned, and in the aging interval, according to a slope method, a specific value of the corresponding aging coefficient on the typical aging curve is found out. It is noted that this value must also be within the aging interval, possibly the same as the typical aging factor.
By the above method, a more accurate aging range of the SOH can be obtained. The precise value is then further confirmed according to the Δ V- Δ C slope method. That is, the above exemplary curves are used over a series of NsocA series of cell voltages at recording points of λ -available capacity VbatCapacity data, V of a typical curve over the aging range calculated by measuring the slope of Δ V- Δ C and adding the values to the cyclic accumulationbatThe closest N can be obtained by benchmarking the Capacity datasoc-recording point of λ, then the aging factor λ isThe number is the calculated aging factor.
The principle of the Δ V- Δ C slope method is as follows:
the capacity that can be released by a battery is also different according to different aging degrees, and as shown in fig. 3, the battery curves α, β, γ of the same battery are different in aging degrees after different charge and discharge cycles.
The capacity corresponding to different voltage values is also different, and in a certain voltage section, the capacity change value can be detected by using a coulometer or other BMS (Battery Monitor System) technology. The capacity change from the X voltage to the Y voltage is different for the three curves in the figure. Namely:
therefore, it can be concluded that the slope of the capacity change Δ C with respect to the voltage change Δ V is different for several curves from voltage X to voltage Y. Further confirmation of SOH values can be achieved based on this slope. And the larger the taken voltage change quantity Δ V, the more accurate the SOH value will be.
In the case of fig. 3, it can be seen that the Δ V- Δ C slope of the same cell after different degrees of aging:
the cyclic accumulation method can obtain the SOH range, and on the basis of the SOH range, a more specific and accurate SOH value can be calculated by calculating the difference of the slope.
In another embodiment of the present invention, the step of calculating the capacity difference value and the voltage difference value according to the voltage value and the capacity value acquired twice respectively includes:
when the difference value between the voltage value acquired at the nth time and the voltage value acquired at the 1 st time reaches a preset voltage difference threshold value, respectively calculating a capacity difference value and a voltage difference value according to the voltage value acquired at the nth time and the voltage value acquired at the 1 st time; wherein n is a natural number greater than 1, and the acquisition performed when the battery state of health is detected is the 1 st acquisition.
The embodiment of the invention further increases the detection precision of the embodiment of the invention.
In another embodiment of the present invention, before the step of acquiring the voltage value and the capacity value of the battery to be tested at the same time, the method further includes:
when the battery to be tested is in a charging state, stopping collecting the voltage value and the capacity value at the same time, and abandoning the collected voltage value and capacity value;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
Specifically, as shown in fig. 4, in the calculation process of the Δ V- Δ C slope method, if the device is in a charging state, the calculation process is stopped, and the previous sampling data is discarded, because of the charging state, the battery voltage has a rise with different amplitude, which has a great influence on the slope calculation.
Step S401, connecting a charging device for charging;
step S402, stopping the calculation process of the Delta V-Delta C slope method, and abandoning data in the calculation process;
step S403, disconnecting the charging equipment and stopping charging;
in step S404, the recalculation procedure is started.
The implementation process of the present invention is described as a specific application example.
As shown in fig. 5, the aging detection and Δ V- Δ C slope calculation process is performed in advance: the aging coefficient range [ lambda ] is counted after 1000 charge-discharge cycles under several brand-new states of the same battery in the examplelow，λhigh]Is [0.6,0.7]]I.e. an aging factor between 0.6 and 0.7, including 0.6 and 0.7, with a typical value of 0.65.
A series of coordinates (for example, when the number of charge and discharge cycles is an integer) are taken from the discharge curve shown in fig. 5, the aging coefficients after different charge and discharge cycles can be obtained, and thus the aging coefficient range and the typical value corresponding to the accumulated value of the electric quantity change cycle can also be obtained.
As shown in fig. 6, the specific cyclic accumulation method for aging detection includes:
s601, providing power change information by a battery monitoring system BMS, wherein the change amplitude is 1% under the general condition;
and S602, when the electric quantity is changed, turning to S603. Otherwise, go to step S604.
S603, based on S602, accumulating the electric quantity NsocAccordingly, the timer is incremented and reset.
S604, when the timer is triggered, the electric quantity is automatically inquired, then the timer is reset, timing is continued, and the timer is set to be 10 minutes in the example;
s605, when the new accumulated value N of the electric quantitysocAccumulated value N of electric quantity used for last calculation of SOH valuesocStarting the aging coefficient calculation compared with the case that a certain value is added, such as 100;
s606, loading the accumulated value of the electric quantity used for calculating the SOH value last time, and inquiring required data from the electric quantity aging basic data;
s607, calculation of the SOH (i.e. lambda) value interval. According to the new accumulated value N of the electric quantitysocAnd the data N of the battery aging coefficient and the accumulated value of the electric quantity stored in advancesoc-λlowWatch, Nsoc-λhighTable, and NsocTypical λ table, we can look up the table to obtain λlow，λhigh]And typically lambda.
In this example, the accumulated value N of the electric quantitysocThe number of charge and discharge cycles was 200100, that is, 1000.5. Due to the accumulated value N of the electric quantity in the present examplesocThe lambda table only stores the battery aging coefficient under integer number of charging and discharging, so the N is obtained by table look-upsocAt the 1000 and 1001 points, we chose the value of the low number of charge-discharge cycles, i.e. [ lambda ]low，λhigh]Is [0.6,0.7]]Typical aging factor is 0.65.
S608, comparing the new aging coefficient range and the typical aging coefficient with the value calculated last time, if the new aging coefficient range and the typical aging coefficient are smaller than the last time value, the result is valid, and the step is shifted to S610; if the value is larger than the last value, the operation is invalid, and the operation jumps to S609;
s609, if the calculated value is invalid, adding the accumulated value N of the electric quantitysocUpdating and storing, wherein the aging coefficient range and the typical aging coefficient are not updated;
s610, accumulating the electric quantity by an accumulated value NsocUpdating and storing, updating and storing the aging coefficient range and the typical aging coefficient.
As shown in fig. 7, the Δ V- Δ C slope method for the specific aging test includes:
based on the aging SOH interval value of the battery obtained by a cycle accumulation method. In this embodiment, the slope is calculated according to the capacity change of the battery from 4.1V to 3.6V, and the final battery aging factor is obtained by calibrating the stored slope table, as shown in fig. 7, which includes:
s701, the battery monitoring system BMS can provide battery data such as battery voltage, real-time capacity and the like;
s702, after the battery is in the sleep state for a period of time (e.g., ten minutes), the battery voltage tends to be stable. After the voltage has stabilized, the voltage is sampled and recorded. In this example, the sampled battery voltage is 4.1V;
and S703, based on the step S702, synchronously recording the available capacity value of the battery while sampling the voltage. In this example, the available capacity value obtained is 1500 mAh;
s704, as in step S702, after the battery voltage tends to be stable, the voltage is sampled, and if the voltage is compared with the voltage acquired in step S702. After 50 minutes of use and 10 minutes of dormancy in the example, the voltage value of the new battery is 3.6V;
and S705, based on S704, if the differential pressure is greater than 0.4V, turning to S706, otherwise, turning to S704 for continuous detection. In the present example, the pressure difference reaches (4.1-3.6) V, namely 0.5V, the composite requirement;
s706, acquiring an available capacity value of 500mAh based on S705, wherein the variable quantity of the available capacity obtained by twice sampling is (1500-500) mAh, namely 1000 mAh;
s707, based on the previous steps, calculating Δ V — Δ C slope k:
s708, from the voltage-capacity table of the typical curve under different aging degrees, and in combination with the range of the battery aging coefficient interval calculated by the cyclic accumulation method, a plurality of slope values corresponding to the same voltage change in the range can be calculated. In this example, the battery aging factor interval ranges from [0.6,0.7 ]. Within this interval, there are several typical voltage-capacity tables with different aging degrees of the curve, as table one below:
| aging factor | Variation of voltage | Volume change | Slope of |
| 0.6 | 4.1V to 3.6V | 900mAh | 1.8 |
| 0.61 | 4.1V to 3.6V | 920mAh | 1.84 |
| 0.62 | 4.1V to 3.6V | 940mAh | 1.88 |
| 0.63 | 4.1V to 3.6V | 960mAh | 1.92 |
| 0.64 | 4.1V to 3.6V | 980mAh | 1.96 |
| 0.65 | 4.1V to 3.6V | 1000mAh | 2 |
| 0.66 | 4.1V to 3.6V | 1020mAh | 2.04 |
| 0.67 | 4.1V to 3.6V | 1040mAh | 2.08 |
| 0.68 | 4.1V to 3.6V | 1060mAh | 2.12 |
| 0.69 | 4.1V to 3.6V | 1080mAh | 2.16 |
| 0.7 | 4.1V to 3.6V | 1100mAh | 2.2 |
S709, in this example, the battery aging factor interval is in the range of [0.6,0.7 ]. The interval is obtained by a cyclic accumulation method;
in S710, in S707, the slope k is 2 by the Δ V — Δ C slope method. The slope of the table of the calibration standard is compared, and the aging coefficient corresponding to the calibration standard curve is 0.65;
s711, based on S710, obtaining the SOH aging coefficient of 0.65;
s712, the currently stored SOH value is obtained, if the newly calculated SOH value is less than the value, the value is determined to be valid, and the step goes to S714. The invalid tone is tuned to S713, and the SOH value currently stored in this example is also 0.65, so the process jumps to S714;
s713, if the new SOH value is invalid, ending the calculation;
s714, updating and storing the aging coefficient;
and S715, finishing the calculation.
Based on the battery health status detection methods of the above embodiments, the invention further provides a battery health status detection device.
As shown in fig. 8, a battery state of health detection apparatus in an embodiment of the present invention includes:
the sampling module 810 is configured to collect a voltage value and a capacity value of the battery to be tested at the same time;
the parameter calculation module 811 is used for respectively calculating a capacity difference value and a voltage difference value according to the voltage values and the capacity values acquired twice;
a slope determination module 812 for determining a ratio of the capacity difference and the voltage difference;
the aging determining module 813 is configured to obtain an aging coefficient corresponding to the determined ratio according to a preset correspondence between the ratio and the aging coefficient.
The embodiment of the invention determines the ratio of the capacity difference value to the voltage difference value; and acquiring the aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient, thereby realizing the online detection of the health degree of the battery.
Further, in the prior art, the measurement is generally performed by a complete discharge method based on the consideration of the accuracy of the measurement result. However, the full discharge method can only perform off-line testing and needs long testing time, and compared with the full discharge method, the embodiment of the invention effectively reduces the detection time and realizes real-time on-line detection.
In an embodiment of the present invention, the parameter calculation module 811 is specifically configured to, when a difference between a voltage value acquired at the nth time and a voltage value acquired at the 1 st time reaches a preset voltage difference threshold, respectively calculate the voltage difference and the capacity difference according to the voltage value acquired at the nth time and the capacity value acquired at the 1 st time; the collection in each battery health state detection is the first collection, and n is a natural number larger than 1.
In another embodiment of the present invention, the sampling module is specifically configured to, when the battery to be tested is in a charging state, stop collecting the voltage value and the capacity value at the same time, and discard the collected voltage value and capacity value;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
In yet another embodiment of the present invention, the apparatus further comprises a loop accumulation module, the loop accumulation module comprising:
the typical curve acquisition module is used for acquiring a typical aging curve according to the aging test; the aging curve is a curve corresponding to the electric quantity change cyclic accumulated value and the aging coefficient;
the slope detection module is used for determining a slope corresponding to each electric quantity change cyclic accumulated value according to the aging curve, wherein the slope is a ratio of the capacity difference value to the voltage difference value;
and the setting module is used for setting the corresponding relation between the ratio and the aging coefficient according to the slope and the aging curve.
Furthermore, the typical curve acquisition module is specifically configured to record each electric quantity change cycle accumulated value of each battery and aging coefficient information respectively corresponding to the electric quantity change cycle accumulated value;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting typical aging coefficients corresponding to the same electric quantity change cyclic accumulated values from the corresponding aging coefficient ranges;
and determining a typical aging curve according to the typical aging coefficients respectively corresponding to the same electric quantity change cyclic accumulated values.
In a further embodiment of the present invention, the sampling module is further configured to periodically collect an electric quantity value of the battery to be tested;
the aging determination module is specifically used for determining the current electric quantity change cycle accumulation of the battery to be tested according to the collected electric quantity value; acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested; and acquiring the aging coefficient corresponding to the determined ratio within the aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
Furthermore, the aging determination module is further configured to load a corresponding electric quantity change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining a cyclic accumulated value of electric quantity change according to the collected electric quantity value;
and determining the determined charge amount change cycle accumulation value as the current charge amount change cycle accumulation when the determined charge amount change cycle accumulation value is increased relative to the loaded charge amount change cycle accumulation value by a set calculation threshold value.
While this application describes specific examples of the invention, those skilled in the art will appreciate that many modifications are possible in the exemplary embodiments without departing from the inventive concepts herein.
In light of the above teachings, those skilled in the art can make various modifications to the method of the present invention without departing from the scope of the present invention.
Claims (10)
1. A battery state of health detection method, the method comprising:
collecting a voltage value and a capacity value of a battery to be tested at the same time;
respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice;
determining a ratio of the capacity difference and the voltage difference;
acquiring an aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient;
the mode of the corresponding relation between the preset ratio and the aging coefficient comprises the following steps:
carrying out aging test on a set number of batteries with the same type as the batteries to be tested;
obtaining a typical aging curve according to the aging test; the aging curve is a curve corresponding to the electric quantity change cyclic accumulated value and the aging coefficient;
determining a slope corresponding to each electric quantity change cycle accumulated value according to the aging curve, wherein the slope is the ratio of the capacity difference value to the voltage difference value;
setting a corresponding relation between a ratio and an aging coefficient according to the slope and the aging curve;
before the step of collecting the voltage value and the capacity value of the battery to be measured at the same time, the method further comprises the following steps:
periodically collecting the electric quantity value of the battery to be tested;
determining the current electric quantity change cycle accumulated value of the battery to be tested according to the collected electric quantity value;
acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested;
the step of obtaining the aging coefficient corresponding to the determined ratio according to the corresponding relationship between the preset ratio and the aging coefficient includes:
and acquiring an aging coefficient corresponding to the determined ratio in an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
2. The method of claim 1, wherein the step of calculating the capacity difference and the voltage difference from the voltage value and the capacity value of the two acquisitions, respectively, comprises:
when the difference value between the voltage value acquired at the nth time and the voltage value acquired at the 1 st time reaches a preset voltage difference threshold value, respectively calculating a capacity difference value and a voltage difference value according to the voltage value acquired at the nth time and the voltage value acquired at the 1 st time; the collection in each battery health state detection is the first collection, and n is a natural number larger than 1.
3. The method of claim 1, wherein the step of collecting the voltage value and the capacity value of the battery under test at the same time is preceded by the step of:
when the battery to be tested is in a charging state, stopping collecting the voltage value and the capacity value at the same time, and abandoning the collected voltage value and capacity value;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
4. The method of claim 1, wherein said step of obtaining a representative burn-in curve based on said burn-in test comprises:
recording each electric quantity change cycle accumulated value of each battery and aging coefficient information respectively corresponding to each electric quantity change cycle accumulated value;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting typical aging coefficients corresponding to the same electric quantity change cyclic accumulated values from the corresponding aging coefficient ranges;
and determining a typical aging curve according to the typical aging coefficients respectively corresponding to the same electric quantity change cyclic accumulated values.
5. The method of claim 1, wherein the step of determining the current charge change cycle accumulation value of the battery to be tested according to the collected charge values comprises:
loading the corresponding electric quantity change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining a cyclic accumulated value of electric quantity change according to the collected electric quantity value;
and determining the determined charge amount change cycle accumulated value as a current charge amount change cycle accumulated value when the determined charge amount change cycle accumulated value increases relative to the loaded charge amount change cycle accumulated value by a set calculation threshold value.
6. A battery state of health detection apparatus, the apparatus comprising:
the sampling module is used for acquiring the voltage value and the capacity value of the battery to be tested at the same time;
the parameter calculation module is used for respectively calculating a capacity difference value and a voltage difference value according to the voltage value and the capacity value acquired twice;
a slope determination module for determining a ratio of the capacity difference value and the voltage difference value;
the aging determining module is used for acquiring an aging coefficient corresponding to the determined ratio according to the corresponding relation between the preset ratio and the aging coefficient;
a loop accumulation module, the loop accumulation module comprising:
the typical curve acquisition module is used for acquiring a typical aging curve according to the aging test; the aging curve is a curve corresponding to the electric quantity change cyclic accumulated value and the aging coefficient;
the slope detection module is used for determining the slope corresponding to each electric quantity change cycle accumulated value according to the aging curve, and the slope is the ratio of the capacity difference value to the voltage difference value;
the setting module is used for setting the corresponding relation between the ratio and the aging coefficient according to the slope and the aging curve;
the sampling module is also used for periodically collecting the electric quantity value of the battery to be detected;
the aging determination module is specifically used for determining the current electric quantity change cyclic accumulated value of the battery to be tested according to the collected electric quantity value; acquiring an aging coefficient range corresponding to the current electric quantity change cyclic accumulated value of the battery to be tested; and acquiring the aging coefficient corresponding to the determined ratio within the aging coefficient range corresponding to the current electric quantity change cyclic accumulated value according to the corresponding relation between the preset ratio and the aging coefficient.
7. The device according to claim 6, wherein the parameter calculation module is configured to, when a difference between the voltage value acquired at the nth time and the voltage value acquired at the 1 st time reaches a preset voltage difference threshold, calculate the capacity difference value and the voltage difference value according to the voltage value and the capacity value acquired at the nth time and the capacity value acquired at the 1 st time, respectively; the collection in each battery health state detection is the first collection, and n is a natural number larger than 1.
8. The device according to claim 6, wherein the sampling module is specifically configured to, when the battery under test is in a charging state, stop collecting voltage values and capacity values at the same time, and discard the collected voltage values and capacity values;
and when the battery to be tested is in a non-charging state and the voltage of the battery to be tested is in a preset stable state, acquiring the voltage value and the capacity value at the same time.
9. The device of claim 6, wherein the typical curve obtaining module is specifically configured to record each charge-change cycle accumulated value of each battery and the aging coefficient information respectively corresponding to the charge-change cycle accumulated values;
determining the aging coefficient range corresponding to each identical electric quantity change cycle accumulated value of all the batteries according to the recorded information;
selecting typical aging coefficients corresponding to the same electric quantity change cyclic accumulated values from the corresponding aging coefficient ranges;
and determining a typical aging curve according to the typical aging coefficients respectively corresponding to the same electric quantity change cyclic accumulated values.
10. The apparatus of claim 6, wherein the aging determination module is further configured to load a corresponding power change cyclic accumulated value when the aging coefficient range of the battery to be tested is obtained last time;
determining an electric quantity change cyclic accumulated value according to the collected electric quantity value;
and determining the determined charge amount change cycle accumulated value as a current charge amount change cycle accumulated value when the determined charge amount change cycle accumulated value increases relative to the loaded charge amount change cycle accumulated value by a set calculation threshold value.
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| CN201710006091.3A CN108279382B (en) | 2017-01-05 | 2017-01-05 | Battery health state detection method and device |
| PCT/CN2017/117672 WO2018126901A1 (en) | 2017-01-05 | 2017-12-21 | Method and device for testing health status of battery |
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| CN201710006091.3A CN108279382B (en) | 2017-01-05 | 2017-01-05 | Battery health state detection method and device |
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Families Citing this family (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| UA127604C2 (en) | 2017-12-21 | 2023-11-01 | Басф Се | Pesticidal compounds |
| CN109001645B (en) * | 2018-09-03 | 2021-03-05 | 日立楼宇技术（广州）有限公司 | Elevator battery detection method, device, equipment and storage medium |
| CN111426969A (en) * | 2018-12-21 | 2020-07-17 | 中兴通讯股份有限公司 | Method and device for detecting internal resistance of battery and method and device for detecting aging of battery |
| KR20200122111A (en) * | 2019-04-17 | 2020-10-27 | 주식회사 엘지화학 | Apparatus, method and battery pack for determining degradation state of battery |
| CN112444718A (en) * | 2019-08-29 | 2021-03-05 | 上海原动力通信科技有限公司 | Chip aging monitoring method, device and system |
| CN112557932A (en) * | 2019-09-26 | 2021-03-26 | 阿里巴巴集团控股有限公司 | Method and device for determining health condition of energy storage device and power supply system |
| CN111142038A (en) * | 2019-12-31 | 2020-05-12 | 浙江吉利新能源商用车集团有限公司 | Storage battery health state assessment method and device |
| TWI733364B (en) * | 2020-03-10 | 2021-07-11 | 國立臺北科技大學 | Estimation method of aging battery open circuit data |
| CN112305433B (en) | 2020-03-30 | 2023-01-13 | 宁德时代新能源科技股份有限公司 | Method, apparatus, device and medium for estimating battery performance parameters |
| CN111537901B (en) * | 2020-04-09 | 2022-06-17 | 浙江南都电源动力股份有限公司 | Battery power state measuring and calculating method, battery pack and vehicle |
| CN111596222B (en) * | 2020-04-23 | 2022-08-05 | 东软睿驰汽车技术（沈阳）有限公司 | Method and related device for obtaining state of health of vehicle battery |
| CN113740745A (en) * | 2020-05-29 | 2021-12-03 | 北京金风科创风电设备有限公司 | Battery detection method, device, medium and system |
| CN112557933B (en) * | 2020-12-04 | 2023-06-30 | 湖北亿纬动力有限公司 | Method and device for calculating battery health state |
| CN112698217B (en) * | 2020-12-25 | 2023-11-03 | 江苏省特种设备安全监督检验研究院 | Battery monomer capacity estimation method based on particle swarm optimization algorithm |
| CN113030759B (en) * | 2021-03-18 | 2023-10-20 | 厦门金龙联合汽车工业有限公司 | Method for detecting health degree of vehicle-mounted low-voltage storage battery |
| CN113335135A (en) * | 2021-05-18 | 2021-09-03 | 深圳逸驰云动科技有限公司 | Method and device for determining battery health state and charging pile |
| CN113486285A (en) * | 2021-06-01 | 2021-10-08 | 北京海博思创科技股份有限公司 | Method and device for estimating expansion force of battery module |
| CN113567866B (en) * | 2021-07-28 | 2023-06-20 | 蜂巢能源科技有限公司 | Voltage prediction method and device for lithium ion battery |
| CN113815490A (en) * | 2021-08-26 | 2021-12-21 | 上海赢科信息技术有限公司 | Method and system for determining health degree of battery, electronic device and storage medium |
| CN113917343B (en) * | 2021-09-30 | 2023-08-08 | 蜂巢能源科技有限公司 | Battery module state detection method and device, electronic equipment and storage medium |
| CN115629325B (en) * | 2022-10-26 | 2024-01-26 | 上海玫克生储能科技有限公司 | Method, device, medium and equipment for identifying attenuation degree of battery cell |
| CN116224127A (en) * | 2023-04-03 | 2023-06-06 | 杭州科工电子科技有限公司 | Battery state of health estimation method based on big data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206246A (en) * | 2006-12-22 | 2008-06-25 | 明基电通股份有限公司 | Method for preestimating battery residual capacity |
| CN101981750A (en) * | 2008-04-01 | 2011-02-23 | 丰田自动车株式会社 | Secondary cell system |
| CN102119338A (en) * | 2008-08-08 | 2011-07-06 | 株式会社Lg化学 | Apparatus and method for estimating state of health of battery based on battery voltage variation pattern |
| CN102144169A (en) * | 2008-09-02 | 2011-08-03 | 丰田自动车株式会社 | Secondary battery status estimating device |
| CN103823191A (en) * | 2013-12-03 | 2014-05-28 | 天津航空机电有限公司 | Method for calculating available residual capacity of lithium ion battery pack |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004177373A (en) * | 2002-11-29 | 2004-06-24 | Shin Kobe Electric Mach Co Ltd | Method of estimating battery condition, and method of determining engine start |
| RU2010132255A (en) * | 2008-07-02 | 2012-08-10 | Панасоник Корпорэйшн (Jp) | METHOD FOR EVALUATING THE PERIOD OF SERVICE OF LEAD BATTERIES AND POWER SUPPLY SYSTEM |
| JP5682955B2 (en) * | 2010-08-04 | 2015-03-11 | Ｎｅｃエナジーデバイス株式会社 | Lithium secondary battery control system and lithium secondary battery state detection method |
| CN102445663B (en) * | 2011-09-28 | 2014-04-02 | 哈尔滨工业大学 | Method for estimating battery health of electric automobile |
| CN103675702B (en) * | 2013-12-04 | 2016-05-25 | 清华大学 | A kind of method of real-time assessment cell health state |
| US9411019B2 (en) * | 2013-12-16 | 2016-08-09 | Automotive Research & Testing Center | Method and system for estimating state of health of battery set |
| CN105068009B (en) * | 2015-07-14 | 2017-10-20 | 盐城工学院 | Battery cycle life Forecasting Methodology |
-
2017
- 2017-01-05 CN CN201710006091.3A patent/CN108279382B/en active Active
- 2017-12-21 WO PCT/CN2017/117672 patent/WO2018126901A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206246A (en) * | 2006-12-22 | 2008-06-25 | 明基电通股份有限公司 | Method for preestimating battery residual capacity |
| CN101981750A (en) * | 2008-04-01 | 2011-02-23 | 丰田自动车株式会社 | Secondary cell system |
| CN102119338A (en) * | 2008-08-08 | 2011-07-06 | 株式会社Lg化学 | Apparatus and method for estimating state of health of battery based on battery voltage variation pattern |
| CN102144169A (en) * | 2008-09-02 | 2011-08-03 | 丰田自动车株式会社 | Secondary battery status estimating device |
| CN103823191A (en) * | 2013-12-03 | 2014-05-28 | 天津航空机电有限公司 | Method for calculating available residual capacity of lithium ion battery pack |
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