TW201819944A - State of Health assessment device of battery and method thereof comprising a control module, a correction module, and an estimation processing unit - Google Patents

Abstract

A State of Health (SOH) assessment device of battery comprises: a control module, which outputs a control signal when a battery module is being charged and a charging condition reaches a preset target value, in order to have a current of the battery module changed to a preset current value for a preset period of test time; a correction module, which is provided with a temperature of the battery module in the preset period of test time when receiving the control signal, and acquires, accordingly, a voltage correction value; and an estimation processing unit, which, when receiving the control signal, is provided with a voltage variation amount and a current variation amount of the battery module in the preset period of test time, and acquires a voltage variation correction value by correcting the voltage variation amount according to the voltage correction value, and estimates the State of Health (SOH) according to the voltage variation correction value, the current variation amount, and a rated, completely-charged capacity.

Description

Device and method for estimating battery health

The invention relates to an estimation device and method, in particular to an estimation device and method for battery health.

In recent years, with the rising awareness of environmental protection and energy saving, related technologies of electric vehicles equipped with rechargeable battery modules have flourished. Therefore, how to detect the health status of rechargeable battery modules in electric vehicles has become a research and development focus. . At present, the conventional methods for estimating the health state of a rechargeable battery module by a conventional battery health state estimation device can be roughly divided into a full charge and discharge method and an internal resistance method.

However, the full charge and discharge method needs to fully charge the rechargeable battery module, and then use a specific current to discharge the rechargeable battery module. This method requires a lot of time to discharge before the battery battery module can be estimated. State of charge and health, and random discharge of rechargeable battery modules may cause safety issues. The internal resistance method needs to provide an input voltage to a rechargeable battery module, and measures and calculates the input voltage through a conventional battery health state estimation device, and uses a special one of the conventional battery health state estimation devices. The high-frequency measuring instrument (the cost of this instrument is relatively high) can measure the internal resistance of the rechargeable battery module to estimate the health status of the rechargeable battery module, which leads to the high cost of the conventional battery health estimation device. . In addition, it is very inconvenient for the user to estimate the health status of the conventional battery health state estimation device if the rechargeable battery module is used for the full charge and discharge method or the internal resistance method.

Therefore, an object of the present invention is to provide a battery health state estimation device capable of overcoming the disadvantages of the prior art.

Therefore, the battery health state estimation device of the present invention is suitable for estimating a health state of a battery module. The battery health state estimation device includes a control module, a calibration module, and an estimation processing unit.

The control module outputs a control signal when the battery module is being charged and a charging 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 for a period A preset test time. The preset current value causes the current to change and causes a voltage of the battery module to drop during the preset test time.

The calibration module is electrically connected to the control module to receive the control signal. When receiving the control signal, the calibration module obtains a temperature of the battery module during the preset test time, and obtains the temperature according to the temperature. A voltage correction value.

The estimation processing unit is electrically connected to the calibration module and the control module to receive the voltage correction value and the control signal respectively. When the control signal is received, the estimation processing unit obtains a preset test of the battery module in the section. A voltage change amount and a current change amount in time, and an error generated by the voltage change amount due to the influence of the temperature is corrected according to the voltage correction value to obtain a voltage change correction value, and according to the voltage change correction value The current change amount and a rated full charge capacity of the battery module are used to estimate the health status of the battery module.

Therefore, another object of the present invention is to provide a method for estimating the health of a battery, which can overcome the disadvantages of the prior art.

Therefore, the battery health state estimation method of the present invention is suitable for estimating the health state of a battery module and is executed by a battery health state estimation device. The battery health state estimation method includes the following steps:

(A) Use the battery health state estimation device to determine whether the charging state of the battery module has reached a preset according to a sensing signal indicating a temperature, a current, a voltage, and a charging state of the battery module Target value

(B) When the judgment result of step (A) is yes, the battery health state estimation device outputs a control signal, so that the current of the battery module is changed to a preset current value for a preset test time, and the The preset current value causes the current to change and causes the voltage to drop during the preset test time;

(C) using the battery health state estimation device to obtain a voltage change amount and a current change amount of the battery module during the preset test time according to the sensing signal;

(D) using the battery health state estimation device to obtain a voltage correction value according to the temperature of the battery module during the preset test time indicated by the sensing signal; and

(E) using the battery health state estimation device to correct the error of the voltage change amount due to the influence of the temperature according to the voltage correction value to obtain a voltage change correction value, and according to the voltage change correction value and the current change And a rated full charge capacity of the battery module to estimate the health status of the battery module.

The effect of the invention is that the control module starts the change of the current of the battery module when the battery module is being charged, and does not need to spend a lot of time to discharge the battery module, which can prevent the battery The battery module may cause safety problems caused by discharging, and by using the correction module to correct the error of the voltage change due to the influence of different temperatures, the health status estimated by the estimation processing unit can be accurately Degree effectively improved.

Referring to FIG. 1 and FIG. 2, an embodiment of a battery health state estimation device 1 of the present invention is suitable for being installed in a carrier 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 configured to receive an AC power source, convert the AC power source into a DC power source, and provide the AC power source to the battery module 22 to charge the battery module 22. The charging module 21 is operable to adjust the amount of DC power provided to the battery module 22 to change 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 electric vehicle, and may be in the form of, for example, a locomotive, a car, or a bus.

The battery health state estimation device 1 in this 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 state of the battery module 22 compared to its ideal state, and the unit of the state of health is a percentage (100% = the state of the battery module 22 matches the battery specifications). Generally, the health status of the battery module 22 is ideally 100% when manufactured, and decreases with time and use. In this embodiment, the battery health state estimation device 1 includes a control module 11, a correction 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 (for example, continuously) senses a voltage, a current, a state of charge (SOC), and a temperature of the battery module 22, In order to generate a sensing signal indicating the voltage, the current, the charging state and the temperature of the battery module.

The control module 11 is suitable for electrically connecting the charging module 21 and the sensing module 14, and receiving the sensing signal from the sensing module 14. The control module 11 determines that the battery module 22 is being charged and the charging state of the battery module 22 reaches a preset according to the current and the charging state of the battery module 22 indicated by the sensing signal. At the target value, a control signal is output to the charging module 21, so that the charging module 21 changes the current flowing through the battery module 22 to a preset current value It for a preset test time Tt. The preset current value It causes the current of the battery module 22 to change and causes the voltage of the battery module 22 to drop during the preset test time Tt. It should be noted that the preset target value is preferably in a range from 70% to 80%, and is 70% in this embodiment. In addition, for different examples of the control signal, the preset current value It may be the same or different. For the preset current value It, the preset current value It can be zero, so that the battery module 22 is neither charging nor discharging, that is, the battery module 22 is not in use. Alternatively, the preset current value It can keep the battery module 22 in charging or keep the battery module 22 in discharging.

The calibration module 12 is electrically connected to the control module 11 to receive the control signal, and is adapted to be electrically connected to the sensing module 14 to receive the sensing signal. When receiving the control signal, the calibration module 12 obtains the temperature of the battery module 22 during the preset test time according to the temperature of the battery module 22 indicated by the sensing signal, and according to the temperature A voltage correction value is obtained. It should be noted that the temperature change of the battery module 22 during the preset test time Tt is small, so the temperature of the battery module 22 is sensed at any point in the preset test time Tt. Both can be used to get this voltage correction value.

In this embodiment, the correction module 12 obtains the voltage correction value according to the following equation (1): V _C = a × (T ₁ -T ₀ ) ² -b × (T ₁ -T ₀ ) + c Equation (1), where V _C represents the voltage correction value, a, b, and c each represent a preset constant, T ₁ represents the temperature of the battery module 22 during the preset test period, and T ₀ represents a The preset temperature T _{0 is} related to the preset temperature when the following equation (3) is established, for example, 25 degrees. The predetermined constants a, b, and c are different depending on the state of charge of the battery module 22. For example, when the state of charge is equal to 70%, the preset constant a is equal to 2 × 10 ^-5 , the preset constant b is equal to 0.0022, and the preset constant c is equal to 0.0825, so V _C = 2 × 10 ^-5 × (T ₁ -T ₀ ) ² -0.0022 × (T ₁ -T ₀ ) +0.0825. When the state of charge is equal to 80%, the preset constant a is equal to 3 × 10 ^-5 , the preset constant b is equal to 0.0024, and the preset constant c is equal to 0.0881, so V _C = 3 × 10 ^-5 × (T ₁ -T ₀ ) ² -0.0024 × (T ₁ -T ₀ ) +0.0881.

It is worth noting that, in other embodiments, the equation (1) of the present invention can 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: V _C = -d × (T ₁ -T ₀ ) + e Equation (2), where V _C , T ₁ , and T ₀ are the same as equation (1), d and e each represent a preset constant. When the state of charge is equal to 70% or 80%, the preset constant d is equal to 0.0008, and the preset 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 preset constant e is equal to 0.0629, so V _C = -0.0008 × (T ₁ -T ₀ ) +0.0629. When the state of charge is equal to 80%, the preset constant e is equal to 0.0667, so V _C = -0.0008 × (T ₁ -T ₀ ) +0.0667.

The estimation processing unit 13 is electrically connected to the calibration module 12 and the control module 11 to receive the voltage correction value V _C and the control signal, respectively, and is adapted to be electrically connected to the sensing module 14 to receive the sensing signal. In this 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 to receive the voltage correction value V _C and the control signal, respectively, and is adapted to be electrically connected to the sensing module 14 to receive the sensing signal. When receiving the control signal, the processing module 131 performs the following actions: (1) According to the voltage of the battery module 22 indicated by the sensing signal, obtaining the preset test time of the battery module 22 in the segment A voltage change amount DV in (2) according to the current and the preset current value It of the battery module 22 indicated by the sensing signal to obtain the battery module 22 in the preset test time A current change amount DI; (3) correcting the error of the voltage change amount DV due to the influence of the temperature T1 according to the voltage correction value V _C to obtain a voltage change correction value DV '; and (4) according to a description A preset voltage mapping function for a relationship between a current ratio (C rate) of the battery module 22 and the voltage change correction value DV ′, and mapping the voltage change correction value DV ′ of the battery module 22 into the battery mode This current ratio of the group 22. It should be noted that the voltage change DV is a voltage difference between the voltage V1 of the battery module 22 at a point t1 of the preset test time Tt and the voltage V2 of an end point t2 of the preset test time Tt (that is, , V1-V2). The current change amount DI is between the preset current value It and the current immediately before the change (that is, the current corresponding to the preset test time Tt immediately before the starting point t1). Current difference. The current ratio is used to indicate the ratio of the current when the battery module 22 is charged and discharged.

In this embodiment, the processing module 131 adds the voltage correction value Vc and the voltage change amount DV to obtain the voltage change correction value DV '(that is, DV' = Vc + DV). The preset voltage mapping function is expressed as, for example, CR = a′´DV ’+ b’, where CR represents the current ratio of the battery module 22, and a ′ and b ′ are preset constants. The preset voltage mapping function can be derived from the measurement results associated with the battery module 22.

The estimation module 132 is electrically connected to the processing module 131 to receive the current change amount DI and the current ratio CR, and is suitable for electrically connecting the sensing module 14 to receive the sensing signal, and is suitable for electrically connecting the display. Module 23. The estimation module 132 estimates the health status of the battery module 22 according to the current ratio CR, the current change amount DI, and a rated full charge capacity related to the voltage change correction value DV ′, and outputs the health status To the display module 23 to be displayed on the display module 23.

In this embodiment, the estimation module 132 estimates the health status of the battery module 22 according to the following equation (3): SOH = [(DI / CR) / AH_spec] ´100% ´K ^-1 equation (3 ), Where SOH represents the health status of the battery module 22, AH_spec represents the rated full charge capacity of the battery module 22, and K ^-1 represents a preset offset constant. The rated full charge capacity of the battery module 22 can be obtained from the specifications of the battery module 22.

Referring to FIG. 3A and FIG. 3B, it is illustrated that the battery health state estimation device 1 executes a battery health state estimation method to estimate the health state of the battery module 22. During operation, the sensing module 14 is first used to sense the temperature, current, voltage, and charging status of the battery module 22 to generate the sensing signal (ie, step 30). Then, the battery health state estimation device 1 executes the battery health state estimation method to estimate the health state of the battery module 22. Finally, the display module 23 is used to display the health status (ie, step 36). In this embodiment, the method for estimating a battery health state includes the following steps:

Step 31: Use the control module 11 in the battery health state estimation device 1 to determine whether the charging state of the battery module 22 reaches the preset target value according to the sensing signal. If yes, go to step 32; if no, go to step 30.

Step 32: Use the control module 11 in the battery health estimation device 1 to output the control signal, so that the current of the battery module 22 changes to the preset current value It and the preset test time Tt, and The preset current value It causes the current to change and causes the voltage of the battery module 22 to drop during the preset test time Tt.

Step 33: Use the processing module 131 in the battery health estimation device 1 to obtain the voltage change amount DV and the current change amount of the battery module 22 during the preset test time Tt according to the sensing signal. DI.

Step 34: Use the correction module 12 in the battery health estimation device 1 to obtain the voltage correction value V _C according to the temperature of the battery module 22 indicated in the sensing signal during the preset test time Tt. .

Step 35: Use the estimation processing unit 13 in the battery health estimation device 1 to correct the error of the voltage change amount DV due to the influence of the temperature according to the voltage correction value V _C to obtain the voltage change correction value DV. 'And estimate the health status of the battery module 22 based on the voltage change correction value DV', the current change amount DI, and the rated full charge capacity of the battery module 22.

It should be noted that, in step 35, a detailed process of sub-steps 351 and 352 is further included.

Sub-step 351: Use the processing module 131 in the battery health state estimation device 1 to add the voltage correction value _VC and the voltage change amount DV to obtain the voltage change correction value DV ', and according to the preset The voltage mapping function maps the voltage change correction value DV ′ to the current ratio.

Sub-step 352: Use the estimation module 132 in the battery health state estimation device 1 to estimate the health state according to the current ratio, the current change amount DI, and the rated full charge capacity.

Referring to FIG. 4 and FIG. 5, FIG. 4 illustrates the measurement result after the battery health state estimating device 1 corrects the voltage variation DV due to the influence of the temperature by using the correction module 12. FIG. 5 illustrates that there is no The calibration module 12 is used to correct the measurement result of the voltage variation DV. The health status error rate is defined as the health status (actual measured value) obtained by actually discharging the battery module 22 minus the health status (theoretical value) obtained by the present invention according to equation (3). The definition of one cycle life means that the battery module 22 is discharged from a fully charged battery to a battery cut-off voltage.

It can be seen from FIG. 4 that after the voltage change DV is corrected, the maximum value of the health state error rate is 4.23%, and 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% ( That is, 4.23%-(-0.86%) = 5.09%). In addition, the average error rate is 2.59%. It can be seen from FIG. 5 that after the voltage change DV is not corrected, the maximum value of the health state error rate is 6.44%, and 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% ( That is, 6.44%-(-0.81%) = 7.25%). In addition, the average error rate is 3.66%. That is, when the battery health state estimation device 1 uses the correction module 12 to correct the voltage change amount DV, the estimated health state of the battery module 22 is more accurate, resulting in a health state error rate. The error range, the average error rate, and the maximum and minimum values of the health state error rate will all decrease.

In summary, the above embodiment has the following advantages:

1. Since the battery health state estimation device 1 of the present invention can estimate the health state of the battery module 22 while the battery module 22 is being charged, it is not necessary to disassemble the rechargeable battery module as is known Only after the health state can be estimated, is it convenient for users.

2. Since the battery health state estimation device 1 of the present invention can estimate the health state of the battery module 22 without spending a lot of time discharging the battery module 22, it can prevent the battery module 22 from being arbitrarily Discharge may cause safety issues.

3. As the battery health state estimation device 1 of the present invention, when the battery module 22 is being charged, the charging module 21 is activated to change the current of the battery module 22, so that the voltage of the battery module 22 changes accordingly. Then, the correction module 12 is used to correct the voltage change amount DV of the battery module 22 to further obtain the health status of the battery module 22 according to the above equation (3). Therefore, the battery health status estimation device of the present invention 1 It is not necessary to know the battery health state estimation device. It is necessary to use a special high-frequency measuring instrument to measure the internal resistance of the rechargeable battery module before the health state of the rechargeable battery module can be estimated. Therefore, the battery health state estimation device 1 of the present invention can reduce the manufacturing cost compared with the conventional battery health state estimation device.

4. Because the battery module 22 has different activities under different temperature conditions, it will cause an error in its voltage response, so that the voltage change DV obtained by the processing module 131 will also have an error, which will affect the estimation. Accuracy of the health status of the battery module 22. Therefore, the battery health state estimation device 1 of the present invention can make the estimated battery module 22 by using the correction module 12 to correct the error of the voltage change amount DV due to the influence of different temperatures. The accuracy of the health status is effectively improved.

However, the above are only examples of the present invention. When the scope of implementation of the present invention cannot be limited in this way, any simple equivalent changes and modifications made in accordance with the scope of the patent application and the content of the patent specification of the present invention are still Within the scope of the invention patent.

1‧‧‧Battery health state estimation device

11‧‧‧Control Module

12‧‧‧ Calibration Module

13‧‧‧Estimation processing unit

131‧‧‧Processing Module

132‧‧‧Estimation module

14‧‧‧ Sensor Module

2‧‧‧ Vehicle

21‧‧‧Charging module

22‧‧‧ Battery Module

23‧‧‧Display Module

30 ~ 36‧‧‧step

351‧‧‧Substep

352‧‧‧Sub-step

It‧‧‧Preset current value

DI‧‧‧Current change

t1‧‧‧ starting point

t2‧‧‧ Finish

Tt‧‧‧ preset test time

V1‧‧‧Voltage

V2‧‧‧Voltage

DV‧‧‧Voltage change

Other features and effects of the present invention will be clearly presented in the embodiment with reference to the drawings, in which: FIG. 1 is a block diagram illustrating an embodiment of a battery health state estimation device of the present invention for use with a battery module Figure 2 is a timing chart illustrating the voltage and current of the battery module; Figures 3A and 3B are a flowchart illustrating the battery health state estimation device of this embodiment performing a battery health state estimation method to estimate Measure the health status of one of the battery modules; FIG. 4 is a measurement diagram illustrating the variation of the health status error rate on the cycle life in the embodiment for performing the battery health estimation method; and FIG. 5 is a measurement diagram It shows that the health status error rate of the battery health status estimation method in this embodiment does not implement the change in cycle life.

Claims (13)

A battery health state estimation device is suitable for estimating the health state of a battery module. The battery health state estimation device includes: a control module, in which the battery module is being charged, and one of the battery modules When the charging state reaches a preset target value, a control signal is output, so that a current of the battery module is changed to a preset current value for a preset test time. The preset current value causes the current to change and causes the battery mode A voltage of the group drops during the preset test time; a correction module is electrically connected to the control module to receive the control signal, and when the control signal is received, the correction module obtains the battery module in the A temperature in a preset test time, and a voltage correction value is obtained according to the temperature; and an estimation processing unit, which is electrically connected to the correction module and the control module to receive the voltage correction value and the control signal, respectively, when When the control signal is received, the estimation processing unit obtains a voltage change amount and a current change amount of the battery module during the preset test time, and corrects the voltage according to the voltage. The error of the voltage change amount due to the influence of the temperature is corrected to obtain a voltage change correction value, and the battery is estimated based on the voltage change correction value, the current change amount, and a rated full charge capacity of the battery module. The health status of the module. The battery health state estimation device according to claim 1, wherein the correction module obtains the voltage correction value according to the following equation: V _C = a × (T ₁ -T ₀ ) ² -b × (T _1- T ₀ ) + c, where V _C represents the voltage correction value, a, b, and c each represent a preset constant, T ₁ represents the temperature, and T ₀ represents a preset temperature. The battery health state estimation device according to claim 1, wherein the correction module obtains the voltage correction value according to the following equation: V _C = -d × (T ₁ -T ₀ ) + e, where V _C Represents the voltage correction value, d and e each represent a preset constant, T ₁ represents the temperature, and T ₀ represents a preset temperature. The device for estimating a battery health state according to claim 1, wherein the current change amount is a current difference between the battery module before the preset current value and the current immediately before the change, and the voltage change amount is A voltage difference between a voltage of the battery module at a point of the preset test time and a voltage of an end point of the preset test time. The battery health state estimation device according to claim 1, wherein the estimation processing unit includes: a processing module electrically connected to the correction module and the control module to receive the voltage correction value and the control signal, respectively, When receiving the control signal, the processing module obtains the voltage change amount and the current change amount, and corrects the voltage change amount according to the voltage correction value to obtain the voltage change correction value, and obtains the voltage change correction value according to the voltage change correction value. A current ratio of the battery module; and an estimation module, which is electrically connected to the processing module to receive the current variation and the current ratio, and estimates the current ratio based on the current ratio, the current variation, and the rated full charge capacity health status. The battery health state estimation device according to claim 5, wherein the processing module adds the voltage correction value and the voltage change amount to obtain the voltage change correction value, and describes the current ratio and the voltage according to a description A preset voltage mapping function that changes the relationship between the correction values maps the voltage change correction value to the current ratio. The battery health state estimation device according to claim 5, wherein the estimation module estimates the health state according to the following equation: SOH = [(DI / CR) / AH_spec] ´100% ´K ^-1 , where: SOH represents the health state, DI represents the current change amount, CR represents the current ratio, AH_spec represents the rated full charge capacity, and K ^-1 represents a preset offset constant. The battery health state estimation device according to claim 1, further comprising: a sensing module, which is electrically connected to the battery module, the control module, the calibration module, and the estimation processing unit, and periodically senses A voltage, a current, a state of charge, and a temperature of the battery module to generate a sensing signal indicating the voltage, the current, the state of charge, and the temperature of the battery module, and the sensing module will The sensing signal is output to the control module, the calibration module, and the estimation processing unit. The calibration module obtains the temperature of the battery module in the preset test time according to the sensing signal, and the estimation is performed. The processing unit obtains the voltage change amount and the current change amount of the battery module during the preset test time according to the sensing signal. A 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. The battery health state estimation method includes the following steps: (A) using the battery The health state estimation device determines whether the charging state of the battery module reaches a preset target value according to a sensing signal indicating a temperature, a current, a voltage, and a charging state of the battery module; (B) When the judgment result of step (A) is yes, the battery health state estimation device outputs a control signal, so that the current of the battery module is changed to a preset current value for a preset test time, and the preset current The value changes the current and causes the voltage to drop during the preset test time; (C) using the battery health estimation device to obtain one of the battery modules during the preset test time according to the sensing signal; A voltage change amount and a current change amount; (D) using the battery health state estimation device to obtain a value based on a temperature of the battery module during the preset test time indicated by the sensing signal; A voltage correction value; and (E) using the battery health state estimation device to correct an error of the voltage change amount due to the temperature influence according to the voltage correction value to obtain a voltage change correction value and correcting the voltage change Value, the amount of current change, and a rated full charge capacity of the battery module to estimate the health status of the battery module. The battery health state estimation method according to claim 9, wherein in step (D), the battery health state estimation device obtains the voltage correction value according to the following equation: V _C = a × (T ₁ -T ₀ ) ² -b × (T ₁ -T ₀ ) + c, where V _C represents the voltage correction value, a, b, and c each represent a preset constant, T ₁ represents the temperature, and T ₀ represents a preset Set the temperature. The method for estimating a battery health state according to claim 9, wherein, in step (D), the battery health state estimation device obtains the voltage correction value according to the following equation: V _C = -d × (T _1- T ₀ ) + e, where V _C represents the voltage correction value, d and e each represent a preset constant, T ₁ represents the temperature, and T ₀ represents a preset temperature. The battery health state estimation method according to claim 9, wherein step (E) includes the following sub-steps: (E1) using the battery health state estimation device to obtain the voltage correction value and the voltage change amount by adding The voltage change correction value, and mapping the voltage change correction value into a current ratio according to a preset voltage mapping function; and (E2) using the battery health state estimation device according to the current ratio, the current change amount, and the rating The fully charged capacity estimates this state of health. The battery health state estimation method according to claim 12, wherein in the sub-step (E2), the battery health state estimation device estimates the health state according to the following equation: SOH = [(DI / CR) / AH_spec ] ´100% ´K ^-1 , where SOH represents the health status, DI represents the current change amount, CR represents the current ratio, AH_spec represents the rated full charge capacity, and K ^-1 represents a preset offset constant.