TW201821822A - Battery condition evaluation device and method has the advantages of rapid detection, simple, convenient, and high accuracy - Google Patents

Abstract

The battery condition evaluation method is used for evaluating the condition of a battery. The method for evaluating the condition of the battery comprises a charging step, a static step, a pulse discharge step, an evaluation index calculation step, and an evaluation result generation step. The evaluation index calculation step obtains a continuous voltage data and a continuous current data from the charging process, the static process, and the pulse discharge process, which are used for calculating a plurality of evaluation indexes relating to the conditions of the battery. The evaluation result generation step evaluates the condition of the battery by utilizing the indexes and generates an evaluation result. Therefore, the method for evaluating the battery condition has the advantages of rapid detection, simple, convenient, and high accuracy.

Description

Device and method for evaluating battery health

The present invention discloses a battery health status evaluation device and method, and more particularly, relates to a battery health status evaluation device and method for quickly obtaining a diagnosis result.

Generally, the definition of the current battery health is mainly based on the remaining available capacity and the internal resistance of the DC discharge. However, when the battery is in different operating conditions, ambient temperature, remaining power, deterioration, etc., the DC discharge impedance is not a fixed value. In addition, the remaining available capacity will be significantly different due to differences in charge and discharge current ratio, discharge depth, and ambient temperature.

Therefore, regarding the diagnosis of battery health status, a dynamic and holistic assessment process should be adopted in order to correctly interpret the battery health status.

It is an object of the present invention to provide a battery health assessment device, which has the advantages of rapid detection, simplicity, convenience, and high accuracy.

In order to achieve the above and other objectives, the present invention provides a battery health status evaluation device for evaluating the health status of a battery. The battery health status evaluation device includes a battery data acquisition module, an evaluation index calculation module, and a The evaluation result generates a module.

The battery data acquisition module is connected to the battery through a connection cable to obtain a continuous voltage data and a continuous current data during the battery discharge process; the evaluation index calculation module uses the continuous voltage data and the The continuous current data calculates one or more evaluation indicators; and the evaluation result generating module compares the evaluation indicators with the stored historical data to generate one or more evaluation results about the health status of the battery.

In an embodiment of the battery health assessment device of the present invention, the evaluation index calculation module includes a peak value indicating unit, which indicates three peak voltage values in the continuous voltage data and indicates the values in the continuous current data. Three spike current values.

In an embodiment of the battery health assessment device of the present invention, the evaluation index calculation module further includes an impedance value calculation unit, which calculates three peak resistance values from the peak voltage values and the peak current values.

In one embodiment of the battery health assessment device of the present invention, the historical data includes multiple sets of experimental data of batteries with different health conditions.

In an embodiment of the battery health assessment device of the present invention, the historical data includes a plurality of sets of experimental data of batteries of the same health condition at different ambient temperatures.

In an embodiment of the battery health assessment device of the present invention, it further includes a programmable loader to start the battery.

In an embodiment of the battery health assessment device of the present invention, the evaluation result includes a remaining capacity value, a failure risk value, and a remaining life value.

Thereby, the battery health status evaluation device of the present invention obtains one or more evaluation indicators related to the health status of the battery through the evaluation index calculation module, and further, obtains the health status of the battery through the evaluation result generation module. Results of the assessment of the condition.

It is an object of the present invention to provide a method for evaluating the health of a battery, which has the advantages of rapid detection, simplicity, convenience, and high accuracy.

To achieve the above and other objectives, the present invention provides a battery health assessment method for assessing the health of a battery. The battery health assessment method includes a charging step, a standing step, a pulse discharge step, a An evaluation index calculation step and an evaluation result generation step.

The charging step charges the battery with a fixed current; the resting step stops charging the battery and leaves the battery still; the pulse discharge step starts the battery, causing the battery to perform three consecutive pulse discharges; the evaluation index calculation step is Obtain a continuous voltage data and a continuous current data during the charging process, the standing process and the pulse discharge process, and use them to calculate a plurality of evaluation indicators, which are related to the health status of the battery; and The evaluation result generating step uses these indicators to evaluate the health status of the battery and generates an evaluation result.

In an embodiment of the method for assessing the health of a battery according to the present invention, the charging step is maintained for a first time period, and the resting step is maintained for a second time period.

In an embodiment of the battery health assessment method of the present invention, the evaluation indicators include a remaining capacity estimation indicator, a maximum charge temperature change rate indicator, a maximum charge voltage change rate indicator, and a maximum voltage recovery change rate indicator. , A maximum discharge current value index, a maximum discharge impedance value index, and a pulse discharge impedance value convergence trend index.

In an embodiment of the method for evaluating the health status of a battery of the present invention, in the pulse discharge step, the current value of the second pulse discharge is 0.9 times the current value of the first pulse discharge, and the current value of the third pulse discharge is 0.8 times the current value of the first pulse discharge.

In an embodiment of the method for assessing the health of a battery according to the present invention, the implementation time of the pulse discharge step is less than 1 second.

In an embodiment of the battery health assessment method of the present invention, the evaluation result includes a remaining capacity value, and the evaluation indicators include a remaining capacity estimation indicator.

In an embodiment of the battery health assessment method of the present invention, the evaluation result includes a failure risk value, and the evaluation indicators include a maximum charge temperature change rate indicator, a maximum discharge current value indicator, and a maximum discharge impedance value indicator. And a pulse discharge impedance value convergence trend indicator.

In an embodiment of the battery health assessment method of the present invention, the evaluation result includes a remaining life value, and the evaluation indicators include a remaining capacity estimation indicator, a maximum charging voltage change rate indicator, and a maximum voltage recovery change rate. Indicator and a pulse discharge impedance value convergence trend indicator.

In an embodiment of the method for evaluating the health of a battery according to the present invention, the step of generating the evaluation result further includes a temperature compensation step, which is to perform numerical correction on the evaluation indicators and the sensed ambient temperature based on historical data.

Accordingly, the method for evaluating the health status of the battery of the present invention obtains one or more evaluation indicators related to the health status of the battery through the evaluation index calculation step, and further obtains the health status about the battery through the step of generating the evaluation result. Evaluation results.

In order to fully understand the purpose, features and effects of the present invention, the following specific embodiments are used in conjunction with the accompanying drawings to make a detailed description of the present invention, which will be described later:

Please refer to FIG. 1 and FIG. 2. FIG. 1 is a schematic diagram of a battery health assessment device 100 of the present invention connected to a battery 1000. The battery 1000 is installed in a battery slot of an object 2000 (such as a car), and the object 2000 has an engine. 3000 or other device that can start the battery 1000. FIG. 2 is a schematic diagram of the internal circuit of the battery health assessment device 100 of the present invention. The battery health assessment device 100 includes a connection line L, a switch S, a display screen D and A plurality of interfaces P1-P3. The battery health evaluation device 100 includes a battery data acquisition module 10, an evaluation index calculation module 20, and an evaluation result generation module 30.

The connection line L connects the battery health assessment device 100 and the battery 1000. The switch S determines whether the battery health assessment device 100 is turned on or off. The display screen D can be used to display an operation interface and one of a plurality of evaluation indicators. One or more, and an evaluation result, the interfaces P1-P3 are used to connect the battery health assessment device 100 to other external components. The number of these interfaces P1-P3 is not limited to three, and the interfaces P1- The type of P3 can include USB, SD card, and so on.

The battery data acquisition module 10 obtains a continuous voltage data D1 and a continuous current data D2 during the discharging process of the battery 1000 through the connection of the connection line L and the battery 1000. The possibility of the continuous voltage data D1 The state of the continuous voltage data D2 is shown in FIG. 3, and the possible state of the continuous voltage data D2 is shown in FIG. 4.

In FIG. 3, the voltage V ₀ represents the initial voltage value before the first discharge of the battery 1000, the voltage V ₁ represents the initial voltage value before the second discharge of the battery 1000, and the voltage V ₂ represents the third discharge of the battery 1000 Before the initial voltage value, the voltage V _peak1 represents the peak voltage value of the first discharge of the battery 1000, the voltage V _peak2 represents the peak voltage value of the second discharge of the battery 1000, and the voltage V _peak3 represents the third discharge of the battery 1000. Spike voltage value.

In FIG. 4, the current I ₀ represents the initial current value before the first discharge of the battery 1000, the current I ₁ represents the initial current value before the second discharge of the battery 1000, and the current I ₂ represents the third discharge of the battery 1000 Before the initial current value, the current I _peak1 represents the peak current value of the first discharge of the battery 1000, the current I _peak2 represents the peak current value of the second discharge of the battery 1000, and the current I _peak3 represents the third discharge of the battery 1000 Spike current value.

Figures 3 and 4 show one possible aspect of the test data of the battery 1000 rapidly discharging three times in one second, in which the voltage V _{0 is} greater than the voltage V ₁ and the voltage V ₂ , the voltage V _peak1 , the voltage V _peak2 and The voltage V _peak3 is the lowest voltage value during each discharge, and the current I _peak1 , current I _peak2, and current I _peak3 are the highest current values during each discharge. However, as the actual conditions of the measured batteries are different (such as battery capacity, remaining battery power, battery temperature, and ambient temperature, etc.), the continuous voltage data D1 and the continuous current data D2 are bound to present different patterns .

Please refer to FIG. 2 again, the evaluation index calculation module 20 calculates an evaluation index by using the continuous voltage data D1 and the continuous current data D2. In this embodiment, the evaluation index includes only the maximum discharge resistance index. That is, the number of evaluation indexes in this embodiment is one.

In this embodiment, the evaluation index calculation module 20 includes a spike value indicating unit 21 and an impedance value calculating unit 22. The spike value indicating unit 21 can mark three spike voltage values from the continuous voltage data D1. (That is, the voltage V _peak1 , the voltage V _peak2, and the voltage V _peak3 as shown in FIG. 3). In addition, the spike indication unit 21 may also mark three spike current values from the continuous current data D2 (ie, as shown in FIG. 4). (I _peak1 , I _peak2, and I _peak3 ).

The impedance value calculation unit 22 calculates the three peak impedance values R1, R2, R3 by dividing the peak voltage values by the peak current values, respectively, where R1 = ∣V ₀ －V _peak1 ∣ / ∣ I _peak1 －I ₀ ∣, R2 = ∣V ₁ －V _peak2 ∣ / ∣I _peak2 －I ₁ ∣, R3 = ∣V ₂ －V _peak3 ∣ / ∣I _peak3 －I ₂ ∣, that is, by R = The formula of V / I can find the three peak impedance values R1, R2, R3 corresponding to the three peak voltage values and the three peak current values. These peak impedance values R1, R2, R3 are the maximum discharges. Resistance value index.

It is worth noting that, since the evaluation index of this embodiment only includes the maximum discharge resistance value index, and the maximum discharge resistance value index can be obtained by the operations of the spike identification unit 21 and the impedance value calculation unit 22, The evaluation index calculation module 20 of the embodiment includes the spike identification unit 21 and the impedance value calculation unit 22, however, the method for obtaining the maximum discharge impedance value index is not limited to this, so in other possible embodiments, The spike identification unit 21 and the impedance value calculation unit 22 may be unnecessary components. In addition, in other possible embodiments, the evaluation index may not include the maximum discharge impedance value index.

The evaluation result generating module 30 compares the evaluation index with the stored historical data to generate an evaluation result about the health status of the battery 1000. The historical data may include multiple sets of experimental data of batteries with different health statuses.

For example, as shown in FIG. 5, the historical data includes four sets of experimental data including 100% remaining power, 85% remaining power, 45% remaining power, and 15% remaining power. In the experimental data of 100% remaining power, it is assumed that R1, R2, and R3 are 0.017 micro-ohms, 0.016 micro-ohms, and 0.015 micro-ohms. In the experimental data of 85% residual power, it is assumed that R1, R2, and R3 are 0.027 micro-ohms, 0.026 micro ohms and 0.025 micro ohms. In the experimental data of 45% remaining power, it is assumed that R1, R2, and R3 are 0.050 micro ohms, 0.049 micro ohms, and 0.048 micro ohms. In the experimental data of 15% remaining power, it is assumed that R1 R2 and R3 are 0.057 microohms, 0.056 microohms, and 0.055 microohms.

If the calculated peak impedance values R1, R2, and R3 of the battery 1000 in this embodiment are 0.027 microohms, 0.026 microohms, and 0.025 microohms, it can be known that the remaining capacity of the battery 1000 is 85%, and the evaluation is generated. The result is 85% of the remaining power.

Incidentally, a battery with 100% remaining power may be a new product that has never been used, a battery with 85% remaining power and 45% remaining power may be an old product that has been used many times, and a battery with 15% remaining power may Defined as waste that has no recycling value and should be discarded immediately.

In addition, in other embodiments, other amounts of experimental data may be used, for example, five sets of experimental data such as 100%, 80%, 60%, 40%, and 20% of remaining power may be used, or ten sets, twenty Other quantities of experimental data, such as groups, can be understood by those with ordinary knowledge in the technical field to which the present invention belongs. Using more sets of experimental data as historical data can make the evaluation result more accurate, but requires a larger storage space.

Furthermore, if the calculated peak impedance values R1, R2, and R3 of the battery have no experimental data that exactly match, for example, the calculated peak impedance values R1, R2, and R3 are 0.035 microohms, 0.036 microohms, and 0.037 microohms. , But there is no experimental data with the same peak impedance values R1, R2, R3 in the database storing the historical data, you can obtain close evaluation results by interpolation, for example.

Further, as shown in FIG. 6, when a certain amount of experimental data has been accumulated in the database storing the historical data, a relationship between the remaining capacity of the battery and the impedance value may be calculated. For the experimental data of the same peak impedance values R1, R2, R3, for example, a close evaluation result can be obtained by using the relationship.

It is worth noting that the battery health assessment device 100 of the present invention can complete the evaluation result in one second compared with the operation mode of the conventional detection device. Therefore, the present invention has the effect of rapid detection.

In addition, with this embodiment, a major difference between the battery health assessment device 100 and the conventional detection device of the present invention is that the battery 1000 does not need to be removed from the object 3000 when the battery health assessment device 100 is in operation. That is to say, the battery health assessment device 100 of the present invention can perform a health assessment when the battery 1000 is in use. Compared with the operation mode of a conventional detection device, the present invention has simple and convenient effects.

Next, please refer to FIGS. 7A to 7F. FIG. 7A is a time-voltage relationship diagram showing a battery with 100% remaining power at different battery temperatures, and FIG. 7B is a graph showing the time of a battery with 100% remaining power at different battery temperatures. Current relationship diagram, Figure 7C is a time-voltage relationship diagram showing a battery with 80% remaining capacity at different battery temperatures, and Figure 7D is a time-current relationship diagram showing a battery with 80% remaining capacity at different battery temperatures, Figure 7E It is a time-voltage relationship diagram showing a battery with 60% remaining power at different battery temperatures, and FIG. 7F is a time-current diagram showing a battery with 80% remaining power at different battery temperatures.

7A to 7F, it can be known that the voltage-time relationship and current-time relationship presented by the same battery under different battery temperatures will be very different. Therefore, the measured battery temperature should be used. To modify the evaluation indicators and the evaluation results.

In Figures 7A to 7F, the battery temperatures used are all groups of six different temperatures, such as -20 、 C, -10∘C, 0∘C, 10∘C, 30 及 C, and 50 等 C. The relationship diagrams shown in FIGS. 7A to 7F can be used as a part of the historical data. When the evaluation result of the battery 1000 is generated, the evaluation results can be corrected by referring to the above relationship diagram.

The above-mentioned temperature compensation helps the battery health assessment device 100 to perform health assessment, and in particular, it helps to evaluate the health of the battery in the use state. This is because, compared with the battery in the non-use state, The battery temperature of the battery in the use state is greatly affected by the environment, and the battery temperature may be greatly different, causing the evaluation result to be seriously distorted. The above-mentioned correction method can greatly improve the problem of distortion.

As shown in FIG. 8, in another embodiment, the battery health assessment device 100 may include a programmable loader 40. The programmable loader 40 may be an engine or other component that can simulate the function of the engine to start The battery 1000. In this embodiment, the battery 1000 does not need to be placed in the battery slot of the object 3000, that is, since the battery in a non-use state still needs to be activated to discharge, this embodiment provides a startup non- One of the ways of using the battery in order to evaluate the health of the battery in a non-use state.

In other possible embodiments of the battery health assessment device of the present invention, the evaluation indicators may include a remaining capacity estimation indicator, a maximum charging temperature change rate indicator, a maximum charging voltage change rate indicator, and a maximum voltage recovery change. Rate index, a maximum discharge current value index, a maximum discharge impedance value index, and a pulse discharge impedance value convergence trend index, one or more of which include a remaining capacity value, a failure risk value, and a residual One or more of the health values, the evaluation indicators and the clear definition of the evaluation results will be described in detail in the process of explaining the battery health assessment method.

Please refer to FIG. 9. FIG. 9 is a flowchart of an embodiment of a battery health assessment method S100 according to the present invention. The method S100 is used to evaluate the health of a battery. The method S100 includes a charging step S110 and a standing step S120. A pulse discharge step S130, an evaluation index calculation step S140, and an evaluation result generation step S150.

The charging step S110 is to charge the battery with a fixed current. The charging step can be maintained for a first length of time, the first time length can be about 300 seconds, the size of the fixed current can be 1C, and the standing step S120 The charging of the battery is stopped and the battery is allowed to stand still. The resting step S120 may be maintained for a second length of time, and the second length of time may be about 60 seconds.

The pulse discharge step S130 is to start the battery, so that the battery performs three consecutive pulse discharges in one second. The peak current value I _peak2 of the second pulse discharge may be 0.9 times the current value I _peak1 of the first pulse discharge. The current value of the third pulse discharge I _peak3 may be 0.8 times the current value of the first pulse discharge I _peak1 .

The reason why the pulse discharge step S130 uses three consecutive pulse discharges in a short period of time is that this process is quite close to the actual battery usage situation, that is, in various application systems, a large current needs to be used in a short time after the battery is started. Provide power to start the generator, so the information obtained from this process can be used as an important basis for assessing the health of the battery. The above application systems include at least a fuel-powered vehicle system, a fuel power generation system, and a UPS. If the health of the battery is significantly degraded or aging, its ability to provide rapid release of the instantaneous current value for start-up will inevitably decrease, and the risk of failure associated with failure to start smoothly will increase at the same time.

In addition, the information about obtaining the pulse discharge is explained as follows: After the engine is started smoothly, the generator driven by it will be charged or float-charged (that is, trickle charging), so the startup battery is usually at full voltage In the state (that is, the remaining power SoC 95% ~ 100%), the work of quickly releasing the instantaneous current at startup is performed. According to the inherent characteristics of general electrochemical batteries, in a fully charged state, the DC internal resistance of the start-up battery is the lowest, and the ability to provide large current instantaneous power is the best; as the remaining power SoC decreases, the DC resistance also increases, providing instantaneous high current discharge. At the same time, its capacity will be reduced, which will be more detrimental to starting the generator.

In addition, as shown in FIG. 10, under various temperature environments, the maximum instantaneous discharge current value of the start-up battery (Uniform Industrial Support, model TEV12500) decreases as the remaining power SoC shrinks. In addition, the lower the temperature, the higher the capacity of the battery to start the instantaneous discharge will be significantly reduced.

Incidentally, the starter battery of some embodiments described in this specification is applied to a Toyota Corona Premio 2.0 gasoline vehicle, which requires a starting current of at least 350 amps to start the engine smoothly.

Please refer to FIG. 9 again, the evaluation index calculation step S140 is to obtain a continuous voltage data D1 and a continuous current data D2 during the charging process, the standing process and the pulse discharge process, and the continuous voltage data D1 and the The continuous current data D2 is used to calculate multiple evaluation indicators, which are related to the health status of the battery.

The evaluation indexes may include the remaining capacity estimation index, the maximum charging temperature change rate index, the maximum charging voltage change rate index, the maximum voltage recovery change rate index, the maximum discharge current value index, and the maximum discharge impedance value index. And one or more of the pulse discharge impedance value convergence trend indicators.

The remaining capacity estimation index, the maximum charging temperature change rate index, and the maximum charging voltage change rate index can be obtained from the charging step S110, and the maximum voltage recovery change rate index can be obtained from the standing step S120. The maximum discharge current value index, the maximum discharge impedance value index, and the pulse discharge impedance value convergence trend index may be obtained from the pulse discharge step S130.

Please refer to FIG. 11 and FIG. 12. FIG. 11 is a diagram illustrating a relationship between battery voltage and time in the charging step S110 and the standing step S120 according to an embodiment, and FIG. 12 is an example of the charging step S110 and the static step in the embodiment Set the battery temperature-time relationship in step S120.

In FIGS. 11 and 12, time t1 to time t2 are periods during which the charging step S110 is performed, and time t2 to time t3 are periods during which the standing step S120 is performed. The voltage V _b0 is the initial voltage value of the battery, and the voltage V _b1 Is the transition voltage value with the highest voltage rise rate, voltage V _b2 is the initial voltage value of the standing program, voltage V _b3 is the cut-off voltage value of the standing program, temperature T _b0 is the initial temperature value of the battery, and temperature T _b1 is the temperature The turning temperature value with the highest rising rate, the temperature T _b2 is the initial temperature value of the standing process, and the temperature T _b3 is the cut-off temperature value of the standing process.

The calculation method of the remaining capacity estimation indicator can be (V _upper -V _lower ) / * 1C, where the voltage V _upper is the upper limit voltage of the battery, the voltage V _lower is the lower limit voltage of the battery, and the voltage change rate It is equal to │V _b2 -V _b1 │ / │t2- t1│, and 1C is the electric quantity.

The calculation method of the maximum charge temperature change rate indicator may be (T _b1 -T _b0 ) / t1, and the calculation method of the maximum charge voltage change rate indicator may be (V _b1 -V _b0 ) / t1. The maximum voltage recovery change rate The calculation method of the indicator can be │V _b3 -V _b2 │ / │t3- t2│.

Please refer to FIG. 3 and FIG. 4 again. The calculation method of the maximum discharge current value index may be I _peak1 -I _0. The calculation method of the maximum discharge resistance value index is not repeated, and the calculation method of the pulse discharge impedance value convergence trend index In order to compare the values of R1, R2, and R3, if it meets R1>R2> R3, it means that the electrochemical reaction inside the battery is normal, and the battery can be used normally.

The evaluation result generating step S150 is to use the indicators to evaluate the health status of the battery and generate an evaluation result. The evaluation result may include one or more of the remaining capacity value, the failure risk value, and the remaining life value. The so-called remaining capacity value refers to the estimated value of the remaining capacity of the battery. The so-called failure risk value refers to the probability that the battery cannot be used normally. If the failure risk value is 95%, it means that the battery has a 95% probability that it cannot start normally. The remaining life value refers to the length of time that the battery can be used in the future. If the remaining life value is 180 days, it means that the battery is still available for 180 days.

With the above evaluation results, the user can be informed of the preliminary judgment results of the health status of the battery in a short period of time, so that the user can decide whether to perform a more careful health status test on the battery. Therefore, only some In special cases, there is a large error between the evaluation result and the real situation, for example, an error of 3% to 5% is attributed to the rapid detection function of the present invention, and the present invention still has certain practical value.

If the evaluation indicators include the aforementioned seven indicators, the evaluation results may include the foregoing three, of which the remaining capacity value in the evaluation results can be obtained using only the remaining capacity estimation indicators in the evaluation indicators. The failure risk value in the results can be obtained by using the maximum charge temperature change rate indicator, the maximum discharge current value indicator, the maximum discharge impedance value indicator, and the pulse discharge impedance value convergence trend indicator in the evaluation indicators. The remaining life in the evaluation results The value can be obtained by using the remaining capacity estimation index, the maximum charging voltage change rate index, the maximum voltage recovery change rate index, and the pulse discharge impedance value convergence trend index of these evaluation indexes.

That is, the remaining capacity value, failure risk value, and remaining life value in the evaluation result can be obtained by using one or more of these evaluation indicators. It is worth noting that the remaining capacity value, Some specific algorithms may be used in the process of failure risk value and remaining life value. The specific algorithm may be interpolation method or Curve-fitting method, etc. The interpolation method may be multi-dimensional interpolation Methods, such as polynomial fitting method, artificial neural network method, fuzzy logic method, genetic algorithm method, simulation annealing method, ANFIS method, etc. Either one or a combination to calculate the remaining capacity value, the failure risk value, and the remaining life value by designing a set of estimation models.

In the step S150 of generating the evaluation result, a temperature compensation step S151 may be included. The evaluation index and the sensed ambient temperature are numerically corrected based on historical data. The temperature compensation function is shown in the embodiment of FIGS. 7A to 7F. It will be described in detail, so it will not be repeated here.

In addition, the battery health assessment device and method of the present invention can use each evaluation result as historical data. Therefore, after detecting multiple batteries, the accuracy of the battery health assessment device and method of the present invention can be improved.

Furthermore, the apparatus and method for assessing the health of the battery of the present invention can use multiple evaluation indexes to add calculations, and can add a temperature adjustment function, so the evaluation results have high accuracy.

In summary, the battery health status evaluation device of the present invention obtains one or more evaluation indicators related to the health status of the battery through the evaluation index calculation module, and further obtains the battery status information through the evaluation result generation module. The results of the health assessment. According to the battery health status evaluation method of the present invention, one or more evaluation indicators related to the health status of the battery are obtained through the evaluation index calculation step, and in addition, the evaluation results related to the health status of the battery are obtained through the evaluation result generation step. .

The present invention has been disclosed in the foregoing with a preferred embodiment, but those skilled in the art should understand that this embodiment is only for describing the present invention, and should not be interpreted as limiting the scope of the present invention. It should be noted that all changes and substitutions equivalent to this embodiment should be included in the scope of the present invention. Therefore, the scope of protection of the present invention shall be defined by the scope of the patent application.

10‧‧‧ Battery data acquisition module

20‧‧‧Evaluation indicator calculation module

21‧‧‧ Spike Marking Unit

22‧‧‧Impedance value calculation unit

30‧‧‧ Assessment result generation module

40‧‧‧programmable loader

100‧‧‧Battery health assessment device

1000‧‧‧ battery

2000‧‧‧ objects

3000‧‧‧ engine

D‧‧‧display

D1‧‧‧Continuous voltage data

D2‧‧‧Continuous voltage data

I _peak1 , I _peak2 , I _peak3 ‧‧‧ current

L‧‧‧ cable

P1-P3‧‧‧Interface

R1, R2, R3‧‧‧Spike impedance

S‧‧‧Switch

S110 ~ S150‧‧‧step

t1, t2, t3‧‧‧time

T _b0 , T _b1 , T _b2 , T _b3 ‧‧‧ temperature

V ₀ , V ₁ , V ₂ ‧‧‧ Voltage

V _b0 , V _b1 , V _b2 , V _b3 ‧‧‧ Voltage

V _peak1 , V _peak2 , V _{peak3 ‧‧‧Voltage}

[FIG. 1] It is a schematic diagram of the connection between a battery health assessment device and a battery according to the present invention. [FIG. 2] It is a schematic diagram of the internal circuit of the battery health assessment device of the present invention. [Fig. 3] It is a diagram of a possible aspect of a continuous voltage data of the present invention. [FIG. 4] It is a diagram of a possible aspect of a continuous current data of the present invention. [Fig. 5] An example of historical data. [Fig. 6] A schematic diagram for obtaining an evaluation result by a relational expression. [FIG. 7A to FIG. 7F] It is a voltage-time relationship diagram or a current-time relationship diagram of the same battery at different battery temperatures. FIG. 8 is a schematic diagram of another embodiment of a battery health assessment device according to the present invention. [FIG. 9] A flowchart of an embodiment of a method for evaluating the health of a battery according to the present invention. [FIG. 10] It is a schematic diagram of the change of the maximum instantaneous discharge current value of the start-up battery in an embodiment. FIG. 11 is a diagram showing a relationship between battery voltage and time in the charging step and the standing step in an embodiment. FIG. 12 is a diagram showing a relationship between battery temperature and time in the charging step and the standing step in an embodiment.

Claims (16)

A battery health status evaluation device is used to evaluate the health status of a battery. The battery health status evaluation device includes: a battery data acquisition module, which is connected to the battery by a connection line to obtain the battery discharge process; A continuous voltage data and a continuous current data; an evaluation index calculation module that calculates one or more evaluation indexes from the continuous voltage data and the continuous current data; and an evaluation result generation module that evaluates the evaluation The indicators are compared with the stored historical data to generate one or more evaluation results about the health status of the battery. The battery health evaluation device according to claim 1, wherein the evaluation index calculation module includes a spike indicating unit, which indicates three peak voltage values in the continuous voltage data and indicates Three spike current values. The battery health evaluation device according to claim 2, wherein the evaluation index calculation module further includes an impedance value calculation unit, which calculates three peak resistance values from the peak voltage values and the peak current values. The battery health assessment device according to claim 1, wherein the historical data includes a plurality of sets of experimental data of batteries with different health conditions. The battery health assessment device according to claim 4, wherein the historical data includes a plurality of sets of experimental data of batteries of the same health status at different ambient temperatures. The battery health assessment device according to claim 1, further comprising a programmable loader to activate the battery. The battery health assessment device according to claim 1, wherein the evaluation result includes a remaining capacity value, a failure risk value, and a remaining life value. A method for assessing the health of a battery is used to evaluate the health of a battery. The method for assessing the health of a battery includes: a charging step of charging the battery with a fixed current; a resting step of stopping charging the battery and leaving it to stand The battery; a pulse discharge step, starting the battery, causing the battery to perform three consecutive pulse discharges; an evaluation index calculation step, obtaining a continuous voltage data during the charging process, the standing process and the pulse discharge process, and Continuous current data and use it to calculate multiple evaluation indicators, which are related to the health status of the battery; and an evaluation result generation step, which uses these indicators to evaluate the health status of the battery, and generates an evaluation result. The method for evaluating the health of a battery according to claim 8, wherein the charging step is maintained for a first period of time, and the resting step is maintained for a second period of time. The method for evaluating the health of a battery according to claim 8, wherein the evaluation indicators include a remaining capacity estimation indicator, a maximum charging temperature change rate indicator, a maximum charging voltage change rate indicator, and a maximum voltage recovery change rate indicator. , A maximum discharge current value index, a maximum discharge impedance value index, and a pulse discharge impedance value convergence trend index. The method for evaluating the health of a battery according to claim 8, wherein in the pulse discharge step, the current value of the second pulse discharge is 0.9 times the current value of the first pulse discharge, and the current value of the third pulse discharge is The value is 0.8 times the current value of the first pulse discharge. The method for assessing battery health according to claim 8, wherein the implementation time of the pulse discharge step is less than 1 second. The method for evaluating the health of a battery according to claim 8, wherein the evaluation result includes a remaining capacity value, and the evaluation indicators include a remaining capacity estimation indicator. The method for evaluating the health of a battery according to claim 8, wherein the evaluation result includes a failure risk value, and the evaluation indicators include a maximum charge temperature change rate indicator, a maximum discharge current value indicator, and a maximum discharge impedance value indicator And a pulse discharge impedance value convergence trend indicator. The method for evaluating the health of a battery according to claim 8, wherein the evaluation result includes a remaining life value, and the evaluation indicators include a remaining capacity estimation indicator, a maximum charging voltage change rate indicator, and a maximum voltage recovery change rate Indicator and a pulse discharge impedance value convergence trend indicator. The method for assessing the health of a battery according to claim 8, wherein the step of generating the evaluation result further includes a temperature compensation step, which is to numerically correct the evaluation indicators and the sensed ambient temperature based on historical data.