CN108614216B - Battery health state estimation device and method - Google Patents
Battery health state estimation device and method Download PDFInfo
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- CN108614216B CN108614216B CN201611137322.6A CN201611137322A CN108614216B CN 108614216 B CN108614216 B CN 108614216B CN 201611137322 A CN201611137322 A CN 201611137322A CN 108614216 B CN108614216 B CN 108614216B
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Abstract
A battery state of health estimation device comprises: a control module for outputting a control signal when a battery module is being charged and the charging state reaches a preset target value, so that the current of the battery module changes to a preset current value and maintains for a preset test time; the correction module obtains the temperature of the battery module in the preset test time when receiving the control signal, and obtains a voltage correction value according to the temperature; and the estimation processing unit is used for obtaining a voltage variation and a current variation of the battery module in the preset test time when receiving the control signal, correcting the voltage variation according to the voltage correction value to obtain a voltage variation correction value, and estimating a health state according to the voltage variation correction value, the current variation and a rated full charge capacity.
Description
Technical Field
The present invention relates to an estimation device and method, and more particularly, to a battery health status estimation device and method.
Background
In recent years, with the rising of environmental protection and energy saving awareness, the related art of the electric vehicle equipped with the rechargeable battery module is developed vigorously, and therefore, how to detect the health status of the rechargeable battery module in the electric vehicle is a key research and development point. The current estimation methods of the battery health state estimation device for the health state of the rechargeable battery module are roughly classified into a full charge-discharge method and an internal resistance method.
However, the full charge and discharge method requires that the rechargeable battery module is fully charged and then the specific current is used to discharge the rechargeable battery module, which consumes a lot of time to discharge to estimate the charge state and the health state of the rechargeable battery module, and the safety problem may be caused by discharging the rechargeable battery module at will. The internal resistance method needs to provide an input voltage to the rechargeable battery module, measure and calculate the input voltage through the existing battery health status estimation device, and measure the internal resistance of the rechargeable battery module by using a special high-frequency measurement instrument (which has higher cost) in the existing battery health status estimation device to estimate the health status of the rechargeable battery module, so that the existing battery health status estimation device needs to cost higher. In addition, the conventional battery health state estimation device can estimate the health state only after the rechargeable battery module is disassembled by using the full charge and discharge method or the internal resistance method, which is very inconvenient for the user.
Disclosure of Invention
A first objective of the present invention is to provide a battery health status estimation device that can overcome the drawbacks of the prior art.
The battery health state estimation device is suitable for estimating the health state of a battery module and comprises a control module, a correction module and an estimation processing unit.
The control module outputs a control signal when the battery module is in charge and a charge state of the battery module reaches a preset target value, so that a current of the battery module is changed to a preset current value and is maintained for a preset test time, and a voltage of the battery module is reduced in the preset test time.
The correction module is electrically connected with the control module to receive the control signal, and when the control signal is received, the correction module obtains a temperature of the battery module in the preset test time and obtains a voltage correction value according to the temperature.
The estimation processing unit is electrically connected with the correction module and the control module to respectively receive the voltage correction value and the control signal, when the control signal is received, the estimation processing unit obtains a voltage variation and a current variation of the battery module in the preset test time, corrects an error of the voltage variation caused by the influence of the temperature according to the voltage correction value to obtain a voltage variation correction value, and estimates the health state of the battery module according to the voltage variation correction value, the current variation and a rated full charge capacity of the battery module.
Battery of the inventionThe health state estimation device, the correction module obtains the voltage correction value according to the following equation: vC＝a×(T1-T0)2-b×(T1-T0)+c，VCRepresenting the voltage correction value, a, b, c each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
In the battery health status estimation apparatus of the present invention, the correction module obtains the voltage correction value according to the following equation: vC＝-d×(T1-T0)+e，VCRepresenting the voltage correction value, d, e each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
In the battery health status estimation apparatus of the present invention, the current variation is a current difference between the preset current value and the current immediately before the change, and the voltage variation is a voltage difference between a voltage of the battery module at a start point of the preset test time and a voltage at an end point of the preset test time.
The battery state of health estimation device of the invention, the estimation processing unit includes: the processing module is electrically connected with the correction module and the control module to respectively receive the voltage correction value and the control signal, and when the control signal is received, the processing module obtains the voltage variation and the current variation, corrects the voltage variation according to the voltage correction value to obtain the voltage variation correction value, and obtains a current ratio of the battery module according to the voltage variation correction value; and an estimation module electrically connected with the processing module to receive the current variation and the current ratio and estimate the health state according to the current ratio, the current variation and the rated full charge capacity.
The processing module adds the voltage correction value and the voltage variation to obtain the voltage variation correction value, and maps the voltage variation correction value to the current ratio according to a preset voltage mapping function describing the relationship between the current ratio and the voltage variation correction value.
In the battery health state estimation device of the present invention, the estimation module estimates the health state according to the following equation: SOH ═ [ (Delta I/CR)/AH _ spec]×100％×K-1SOH represents the state of health, Δ I represents the amount of change in current, CR represents the current ratio, AH _ spec represents the rated full charge capacity, and K-1Representing a predetermined offset constant.
The battery health state estimating device of the present invention further comprises: the sensing module is electrically connected with the battery module, the control module, the correction module and the estimation processing unit and is used for periodically sensing a voltage, a current, a charging state and a temperature of the battery module so as to generate a sensing signal indicating the voltage, the current, the charging state and the temperature of the battery module, the sensing module outputs the sensing signal to the control module, the correction module and the estimation processing unit, the correction module obtains the temperature of the battery module in the preset testing time according to the sensing signal, and the estimation processing unit obtains the voltage variation and the current variation of the battery module in the preset testing time according to the sensing signal.
A second objective of the present invention is to provide a method for estimating the state of health of a battery, which can overcome the drawbacks of the prior art.
The battery health state estimation method is suitable for estimating the health state of a battery module and is executed by a battery health state estimation device, and the battery health state estimation method comprises the following steps:
(A) judging whether the charging state of the battery module reaches a preset target value or not by using the battery health state estimation device according to a sensing signal indicating the temperature, the current, the voltage and the charging state of the battery module;
(B) if the judgment result in the step (A) is yes, outputting a control signal by using the battery health state estimation device, so that the current of the battery module is changed to a preset current value and is maintained for a preset test time, and the voltage is reduced in the preset test time;
(C) obtaining a voltage variation and a current variation of the battery module in the preset testing time by using the battery health state estimation device according to the sensing signal;
(D) obtaining a voltage correction value by using the battery health state estimation device according to the temperature of the battery module in the preset test time indicated by the sensing signal; and
(E) and correcting the error of the voltage variation caused by the temperature influence by using the battery health state estimation device according to the voltage correction value to obtain a voltage variation correction value, and estimating the health state of the battery module according to the voltage variation correction value, the current variation and a rated full charge capacity of the battery module.
In step (D), the battery state of health estimation device obtains the voltage correction value according to the following equation: vC＝a×(T1-T0)2-b×(T1-T0)+c，VCRepresenting the voltage correction value, a, b, c each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
In step (D), the battery state of health estimation device obtains the voltage correction value according to the following equation: vC＝-d×(T1-T0)+e，VCRepresenting the voltage correction value, d, e each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
The battery state of health estimation method of the invention, step (E) includes the following substeps: (E1) adding the voltage correction value and the voltage variation by using the battery health state estimation device to obtain the voltage variation correction value, and mapping the voltage variation correction value into a current ratio according to a preset voltage mapping function; and (E2) estimating the state of health based on the current ratio, the amount of current variation, and the rated full charge capacity using the battery state of health estimation means.
In the sub-step (E2), the battery state of health estimation device estimates the state of health according to the following equation: SOH ═ [ (Delta I/CR)/AH _ spec]×100％×K-1SOH represents the state of health, Δ I represents the amount of change in current, CR represents the current ratio, AH _ spec represents the rated full charge capacity, and K-1Representing a predetermined offset constant.
The invention has the beneficial effects that: the control module starts the change of the current of the battery module when the battery module is charged, and does not need to consume a large amount of time to discharge the battery module, so that the safety problem possibly caused by discharging the battery module at will can be prevented, and the accuracy of the health state estimated by the estimation processing unit can be effectively improved after the correction module is used for correcting the error of the voltage variation caused by the influence of different temperatures.
Drawings
Fig. 1 is a block diagram illustrating a battery state of health estimation apparatus according to an embodiment of the present invention used with a battery module;
fig. 2 is a timing diagram illustrating the voltage and current of the battery module;
fig. 3 and 4 are flowcharts illustrating the battery health estimation apparatus of the embodiment executing a battery health estimation method to estimate a health status of the battery module;
FIG. 5 is a measurement diagram illustrating the variation of the state of health error rate versus cycle life for the embodiment in which the battery state of health estimation method is performed; and
fig. 6 is a measurement diagram illustrating the variation of the state of health error rate versus cycle life for the embodiment without performing the battery state of health estimation method.
Detailed Description
Referring to fig. 1 and 2, the battery health status estimation device 1 according to the present invention is suitable for being installed in a vehicle 2. The vehicle 2 includes a charging module 21, a battery module 22, a display module 23 and other necessary components (not shown). The battery module 22 is electrically connected to the charging module 21. The charging module 21 is used for receiving an ac power, converting the ac power into a dc power and providing the dc power to the battery module 22 for charging the battery module 22. The charging module 21 is operable to adjust the amount of power of the dc power supplied to the battery module 22 to vary the current flowing through the battery module 22. It should be noted that the vehicle 2 may be a pure electric vehicle or a hybrid (hybrid) electric vehicle, and may be in the form of a locomotive, an automobile, or a bus, for example.
The battery state of health estimation device 1 of the present embodiment is adapted to estimate a state of health (SOH) of the battery module 22. It should be noted that the state of health is a figure of merit of the condition of the battery module 22 compared to its ideal condition, and the unit of the state of health is a percentage (100% ═ the condition of the battery module 22 matches the battery specification). Generally, since the state of health of the battery module 22 is ideally 100% at the time of manufacture and decreases with time and use. In the present embodiment, the battery health status estimation apparatus 1 includes a control module 11, a calibration module 12, an estimation processing unit 13 and a sensing module 14.
The sensing module 14 is electrically connected to the battery module 22 and periodically (e.g., continuously) senses a voltage, a current, a state of charge (SOC) and a temperature of the battery module 22 to generate a sensing signal indicating the voltage, the current, the SOC and the temperature of the battery module.
The control module 11 is adapted to electrically connect the charging module 21 and the sensing module 14, and receive the sensing signal from the sensing module 14. When the control module 11 determines that the battery module 22 is charging according to the current and the charging state of the battery module 22 indicated by the sensing signal and the charging state of the battery module 22 reaches a predetermined target value, It outputs a control signal to the charging module 21, so that the charging module 21 changes the current flowing through the battery module 22 to a predetermined current value It and maintains the predetermined current value It for a predetermined test time Tt. The current flowing through the battery module 22 is changed to the preset current value It, so that the current of the battery module 22 is changed and the voltage of the battery module 22 is caused to drop in the preset test time Tt. It should be noted that the preset target value is preferably in a range from 70% to 80%, and in the present embodiment is 70%. In addition, the preset current value It may be the same or different for different examples of the control signal. For the preset current value It, the preset current value It may be zero, so that the battery module 22 is neither in charge nor in discharge, i.e., the battery module 22 is not in use. Alternatively, the preset current value It may maintain the battery module 22 in charging or maintain the battery module 22 in discharging.
The calibration module 12 is electrically connected to the control module 11 for receiving the control signal, and is adapted to be electrically connected to the sensing module 14 for receiving the sensing signal. When receiving the control signal, the calibration module 12 obtains the temperature of the battery module 22 in the preset test time according to the temperature of the battery module 22 indicated by the sensing signal, and obtains a voltage calibration value according to the temperature. It should be noted that the temperature variation of the battery module 22 during the preset test time Tt is very small, so the temperature sensed by the battery module 22 at any time point during the preset test time Tt can be used to obtain the voltage correction value.
In the present embodiment, the calibration module 12 obtains the voltage calibration value according to the following equation (1):
VC＝a×(T1-T0)2-b×(T1-T0) + c the equation (1),
VCrepresenting the voltage correction value, a, b, c each representing a predetermined constant, T1Represents the temperature of the battery module 22 during the predetermined testing time, and T0Represents a predetermined temperature T0With respect to a predetermined temperature, e.g., 25 degrees, when equation (3) below is established. The predetermined constants a, b, c are influenced by the charging state of the battery module 22The same is true. For example, when the state of charge is equal to 70%, the predetermined constant a is equal to 2 × 10-5The predetermined constant b is equal to 0.0022 and the predetermined constant c is equal to 0.0825, so VC＝2×10-5×(T1-T0)2-0.0022×(T1-T0)+0.0825. When the state of charge is equal to 80%, the predetermined constant a is equal to 3 × 10-5The predetermined constant b is equal to 0.0024 and the predetermined constant c is equal to 0.0881, so VC＝3×10-5×(T1-T0)2-0.0024×(T1-T0)+0.0881。
It is noted that, in other embodiments, the equation (1) of the present invention may be replaced by the equation (2) to obtain the voltage correction value, but the voltage correction value obtained by the equation (1) is more accurate. In this case, equation (2) is as follows:
VC＝-d×(T1-T0) + e the equation (2),
VC、T1、T0the definition of (d) is the same as that of equation (1), and d and e each represent a predetermined constant. When the state of charge is equal to 70% or 80%, the predetermined constant d is equal to 0.0008, and the predetermined constant e is different depending on the state of charge of the battery module 22. For example, when the state of charge is equal to 70%, the predetermined constant e is equal to 0.0629, so VC＝-0.0008×(T1-T0)+0.0629. When the state of charge is equal to 80%, the preset constant e is equal to 0.0667, so VC＝-0.0008×(T1-T0)+0.0667。
The estimation processing unit 13 is electrically connected to the calibration module 12 and the control module 11 for receiving the voltage calibration value VCAnd the control signal, and is adapted to be electrically connected to the sensing module 14 to receive the sensing signal. In the present embodiment, the estimation processing unit 13 includes a processing module 131 and an estimation module 132.
The processing module 131 is electrically connected to the calibration module 12 and the control module 11 for receiving the voltage calibration value VCAnd the control signal, and is adapted to be electrically connected to the sensing module 14Receiving the sensing signal. When receiving the control signal, the processing module 131 performs the following operations: (1) obtaining a voltage variation Δ V of the battery module 22 in the preset testing time according to the voltage of the battery module 22 indicated by the sensing signal; (2) obtaining a current variation Δ I of the battery module 22 in the preset test time according to the current of the battery module 22 indicated by the sensing signal and the preset current value It; (3) according to the voltage correction value VCCorrecting the voltage variation Δ V for an error caused by the temperature T1 to obtain a voltage variation correction value Δ V'; and (4) mapping the voltage variation correction value Δ V 'of the battery module 22 to the current ratio of the battery module 22 according to a preset voltage mapping function describing a relationship between a current ratio (C rate) of the battery module 22 and the voltage variation correction value Δ V'. It should be noted that the voltage variation Δ V is a voltage difference (i.e., V1-V2) between the voltage V1 of the battery module 22 at a start point t1 of the preset test time Tt and the voltage V2 at an end point t2 of the preset test time Tt. The current variation Δ I is a current difference between the preset current value It and the current immediately before the change (i.e., the current corresponding to the current immediately before the start point t1 of the preset test time Tt) of the battery module 22. The current ratio is used to indicate the ratio of the magnitude of the current when the battery module 22 is charged and discharged.
In this embodiment, the processing module 131 corrects the voltage correction value VCAnd the voltage change amount Δ V is added to obtain the voltage change correction value Δ V' (i.e., Δ V ═ VC+ Δ V). The predetermined voltage mapping function is expressed, for example, as CR ═ a ' × Δ V ' + b ', CR represents the current ratio of the battery module 22, and a ' and b ' are predetermined constants. The predetermined voltage mapping function may be derived from the measurement results associated with the battery module 22.
The estimation module 132 is electrically connected to the processing module 131 for receiving the current variation Δ I and the current ratio CR, and is adapted to be electrically connected to the sensing module 14 for receiving the sensing signal and to be electrically connected to the display module 23. The estimation module 132 estimates the state of health of the battery module 22 according to the current ratio CR related to the voltage variation correction value Δ V', the current variation Δ I, and a rated full charge capacity, and outputs the state of health to the display module 23 to be displayed on the display module 23.
In the present embodiment, the estimation module 132 estimates the state of health of the battery module 22 according to the following equation (3):
SOH＝[(ΔI/CR)/AH_spec]×100％×K-1in the formula (3),
SOH represents the state of health of the battery module 22, AH _ spec represents the rated full charge capacity of the battery module 22, and K-1Representing a predetermined offset constant. The rated full charge capacity of the battery module 22 can be known from the specification of the battery module 22.
Referring to fig. 3 and 4, it is described that the battery health estimation apparatus 1 performs a battery health estimation method to estimate the health of the battery module 22. In operation, the sensing module 14 senses the temperature, current, voltage and state of charge of the battery module 22 to generate the sensing signal (step 30). Then, the battery health estimation device 1 performs the battery health estimation method to estimate the health status of the battery module 22. Finally, the health status is displayed by the display module 23 (i.e., step 36). In this embodiment, the method for estimating the state of health of a battery includes the following steps:
step 31: the control module 11 of the battery health status estimation apparatus 1 is utilized to determine whether the charging status of the battery module 22 reaches the predetermined target value according to the sensing signal. If yes, go to step 32; if not, go to step 30.
Step 32: the control module 11 in the battery health status estimation apparatus 1 outputs the control signal, so that the current of the battery module 22 changes to the preset current value It and maintains the preset test time Tt, and the current of the battery module 22 changes to the preset current value It, which not only causes the current to change and causes the voltage of the battery module 22 to drop in the preset test time Tt.
Step 33: the processing module 131 in the battery health status estimation apparatus 1 obtains the voltage variation Δ V and the current variation Δ I of the battery module 22 in the preset test time Tt according to the sensing signal.
Step 34: obtaining the voltage correction value V by the correction module 12 in the battery health status estimation device 1 according to the temperature of the battery module 22 indicated by the sensing signal during the predetermined test time TtC。
Step 35: using the estimation processing unit 13 in the battery health estimation device 1 to correct the voltage correction value VCThe error of the voltage variation Δ V due to the temperature influence is corrected to obtain the voltage variation correction value Δ V ', and the state of health of the battery module 22 is estimated according to the voltage variation correction value Δ V', the current variation Δ I, and the rated full charge capacity of the battery module 22.
It should be noted that, in step 35, the detailed flow of the sub-steps 351 and 352 is further included.
Substep 351: using the processing module 131 in the battery health status estimation device 1 to correct the voltage correction value VCAnd adding the voltage variation Δ V to obtain the voltage variation correction value Δ V ', and mapping the voltage variation correction value Δ V' into the current ratio according to the preset voltage mapping function.
Substep 352: the state of health is estimated by the estimation module 132 in the battery state of health estimation apparatus 1 according to the current ratio, the current variation Δ I and the rated full charge capacity.
Referring to fig. 5 and 6, fig. 5 illustrates the measurement result of the battery health estimation apparatus 1 after using the calibration module 12 to calibrate the error of the voltage variation Δ V caused by the temperature, and fig. 6 illustrates the measurement result of the voltage variation Δ V without using the calibration module 12. The health error rate is defined as the health (measured value) obtained by actually discharging the battery module 22 minus the health (theoretical value) obtained according to equation (3) of the present invention. Cycle life is defined as the time the battery module 22 discharges from a fully charged battery to a battery cutoff voltage.
As can be seen from fig. 5, when the voltage variation Δ V is corrected, the maximum value of the health state error rate is 4.23%, the minimum value of the health state error rate is-0.86%, and the error range of the health state error rate is 5.09% (i.e., 4.23% - (-0.86%) -5.09%). In addition, the average error rate was 2.59%. As can be seen from fig. 6, when the voltage variation Δ V is not corrected, the maximum value of the health state error rate is 6.44%, the minimum value of the health state error rate is-0.81%, and the error range of the health state error rate is 7.25% (i.e., 6.44% - (-0.81%) -7.25%). Further, the average error rate was 3.66%. That is, when the battery health estimation apparatus 1 utilizes the correction module 12 to correct the voltage variation Δ V, the estimated health of the battery module 22 is more accurate, so that the error range of the health error rate, the average error rate, the maximum value and the minimum value of the health error rate are all reduced.
In summary, the embodiment described above has the following advantages:
1. since the battery health estimation device 1 of the present invention can estimate the health of the battery module 22 during the charging of the battery module 22, the estimation of the health is not required to be performed after the rechargeable battery module is disassembled, which is convenient for users.
2. Since the battery health status estimation device 1 of the present invention can estimate the health status of the battery module 22 without consuming a lot of time to discharge the battery module 22, it is able to prevent the safety problem that may be caused by discharging the battery module 22 at will.
3. Since the battery health status estimation device 1 of the present invention starts the charging module 21 to change the current of the battery module 22 when the battery module 22 is charged, so that the voltage of the battery module 22 changes, and then the correction module 12 is used to correct the voltage variation Δ V of the battery module 22 to further obtain the health status of the battery module 22 according to the above equation (3), the battery health status estimation device 1 of the present invention can estimate the health status of the rechargeable battery module without using a special high frequency measurement instrument to measure the internal resistance of the rechargeable battery module as in the conventional battery health status estimation device. Therefore, the battery health state estimation device 1 of the present invention can reduce the manufacturing cost compared to the conventional battery health state estimation device.
4. Since the battery module 22 has different activities under different temperature conditions, the voltage response thereof has an error, so that the voltage variation Δ V obtained by the processing module 131 has an error, thereby affecting the accuracy of the state of health of the battery module 22. Therefore, the battery health status estimation device 1 of the present invention can effectively improve the accuracy of the estimated health status of the battery module 22 by using the correction module 12 to correct the error of the voltage variation Δ V caused by different temperature influences.
The above description is only an example of the present invention, and the scope of the present invention should not be limited thereby, and the invention is still within the scope of the present invention by simple equivalent changes and modifications made according to the claims and the contents of the specification.
Claims (13)
1. A battery state of health estimation device is applicable to estimating a state of health of a battery module, and is characterized in that: the battery health state estimation device comprises:
a control module, outputting a control signal when the battery module is in charge and a charge state of the battery module reaches a preset target value, so that a current of the battery module changes to a preset current value and maintains for a preset test time, and a voltage of the battery module is reduced in the preset test time;
the correction module is electrically connected with the control module to receive the control signal, and when the control signal is received, the correction module obtains a temperature of the battery module in the preset test time and obtains a voltage correction value according to the temperature; and
and the estimation processing unit is electrically connected with the correction module and the control module to respectively receive the voltage correction value and the control signal, when the control signal is received, the estimation processing unit obtains a voltage variation and a current variation of the battery module in the preset test time, corrects an error of the voltage variation caused by the influence of the temperature according to the voltage correction value to obtain a voltage variation correction value, and estimates the health state of the battery module according to the voltage variation correction value, the current variation and a rated full charge capacity of the battery module.
2. The battery state of health estimation device of claim 1, wherein: the correction module obtains the voltage correction value according to the following equation:
VC＝a×(T1-T0)2-b×(T1-T0)+c，
VCrepresenting the voltage correction value, a, b, c each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
3. The battery state of health estimation device of claim 1, wherein: the correction module obtains the voltage correction value according to the following equation:
VC＝-d×(T1-T0)+e，
VCrepresenting the voltage correction value, d, e each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
4. The battery state of health estimation device of claim 1, wherein: the current variation is a current difference between the preset current value and the current immediately before the change, and the voltage variation is a voltage difference between a voltage of the battery module at a starting point of the preset test time and a voltage at an end point of the preset test time.
5. The battery state of health estimation device of claim 1, wherein: the estimation processing unit includes:
the processing module is electrically connected with the correction module and the control module to respectively receive the voltage correction value and the control signal, and when the control signal is received, the processing module obtains the voltage variation and the current variation, corrects the voltage variation according to the voltage correction value to obtain the voltage variation correction value, and obtains a current ratio of the battery module according to the voltage variation correction value; and
and the estimation module is electrically connected with the processing module to receive the current variation and the current ratio and estimate the health state according to the current ratio, the current variation and the rated full charge capacity.
6. The battery state of health estimation device of claim 5, wherein: the processing module adds the voltage correction value and the voltage variation to obtain the voltage variation correction value, and maps the voltage variation correction value to the current ratio according to a preset voltage mapping function describing the relationship between the current ratio and the voltage variation correction value.
7. The battery state of health estimation device of claim 5, wherein: the estimation module estimates the health state according to the following equation:
SOH＝[(ΔI/CR)/AH_spec]×100％×K-1，
SOH represents the state of health, Δ I represents the amount of change in the current, CR represents the current ratio, AH _ spec represents the rated full charge capacity, and K-1Representing a predetermined offset constant.
8. The battery state of health estimation device of claim 1, wherein: the battery health state estimation device further comprises:
the sensing module is electrically connected with the battery module, the control module, the correction module and the estimation processing unit and is used for periodically sensing a voltage, a current, a charging state and a temperature of the battery module so as to generate a sensing signal indicating the voltage, the current, the charging state and the temperature of the battery module, the sensing module outputs the sensing signal to the control module, the correction module and the estimation processing unit, the correction module obtains the temperature of the battery module in the preset testing time according to the sensing signal, and the estimation processing unit obtains the voltage variation and the current variation of the battery module in the preset testing time according to the sensing signal.
9. A battery health state estimation method is suitable for estimating a health state of a battery module and is executed by a battery health state estimation device, and is characterized in that: the battery health state estimation method comprises the following steps:
(A) judging whether the charging state of the battery module reaches a preset target value or not by using the battery health state estimation device according to a sensing signal indicating the temperature, the current, the voltage and the charging state of the battery module;
(B) if the judgment result in the step (A) is yes, outputting a control signal by using the battery health state estimation device, so that the current of the battery module is changed to a preset current value and is maintained for a preset test time, and the voltage is reduced in the preset test time;
(C) obtaining a voltage variation and a current variation of the battery module in the preset testing time by using the battery health state estimation device according to the sensing signal;
(D) obtaining a voltage correction value by using the battery health state estimation device according to the temperature of the battery module in the preset test time indicated by the sensing signal; and
(E) and correcting the error of the voltage variation caused by the temperature influence by using the battery health state estimation device according to the voltage correction value to obtain a voltage variation correction value, and estimating the health state of the battery module according to the voltage variation correction value, the current variation and a rated full charge capacity of the battery module.
10. The battery state of health estimation method of claim 9, wherein: in step (D), the battery state of health estimation device obtains the voltage correction value according to the following equation:
VC＝a×(T1-T0)2-b×(T1-T0)+c，
VCrepresenting the voltage correction value, a, b, c each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
11. The battery state of health estimation method of claim 9, wherein: in step (D), the battery state of health estimation device obtains the voltage correction value according to the following equation:
VC＝-d×(T1-T0)+e，
VCrepresenting the voltage correction value, d, e each representing a predetermined constant, T1Represents the temperature, and T0Representing a preset temperature.
12. The battery state of health estimation method of claim 9, wherein: step (E) comprises the sub-steps of:
(E1) adding the voltage correction value and the voltage variation by using the battery health state estimation device to obtain the voltage variation correction value, and mapping the voltage variation correction value into a current ratio according to a preset voltage mapping function; and
(E2) and estimating the state of health by using the battery state of health estimation device according to the current ratio, the current variation and the rated full charge capacity.
13. The battery state of health estimation method of claim 12, wherein: in sub-step (E2), the battery state of health estimation device estimates the state of health according to the following equation:
SOH＝[(ΔI/CR)/AH_spec]×100％×K-1，
SOH represents the state of health, Δ I represents the amount of change in the current, CR represents the current ratio, AH _ spec represents the rated full charge capacity, and K-1Representing a predetermined offset constant.
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