TWI597510B - Battery Life Cycle Prediction System and Method - Google Patents

Description

Battery life cycle prediction system and method thereof

The invention provides a battery life cycle prediction system and a method thereof, in particular to a battery sample with less demand, a shorter test speed, lower cost, accurate estimation of battery life, high application flexibility, and quick introduction into various application scenarios. Battery life cycle prediction system and method thereof.

According to the gradual depletion of petrochemical energy and the improvement of power battery technology, the state of the battery is detected and replaced, and it is actively concerned with environmental issues such as energy conservation, carbon reduction and green energy. In particular, electric motor vehicles and electric buses have gradually emerged with the support of governments. It is expected that the electric vehicle market will become more mature and popular in the next few years, so the power battery will also become the main source.

In terms of monitoring the battery status function, the function of dividing the State Of Charge (SOC) and the State of Health (SOH) estimation are two of the more frequently discussed issues, due to the electric motor. The variable load during driving and the characteristics and differences of each unit battery cause the estimated error of battery residual capacity to reach 5%~10%.

Although the detection of residual power has gradually matured, it is generally only used to measure the ratio of the maximum battery capacity to the current residual amount. The representation of the capacity is used for the user to judge and the battery life cannot be estimated. As for the known battery cycle life estimation technology, including battery cycle life function establishment, and function correspondence battery parameters and system state determination, the former technology must rely on a large number of laboratory and battery work measurement data for analysis and induction, There are currently no clear criteria and cannot be accurately assessed. The latter technology must be measured or estimated according to the unique parameters required by the former technology, and the utility is not practical.

In particular, the above battery cycle life estimation technology has to be improved in order to ensure that the following problems and defects are still needed: time cost and equipment cost are high, and each parameter has significance for life estimation, and cannot be used as a sole indicator, and is not based on Future use scenarios give a reasonable life expectancy.

Therefore, how to solve the above-mentioned problems and deficiencies of the above-mentioned applications is the applicant who is interested in researching and improving the direction of the applicants and related manufacturers engaged in the industry.

Therefore, in view of the above-mentioned deficiencies, the applicant of the present invention has collected relevant materials, evaluated and considered through various parties, and has accumulated many years of experience in the industry, and has continuously designed and modified such battery samples. Invented patents with shorter test speeds, lower cost, and accurate estimation of battery life, high application flexibility, and battery life cycle prediction systems and methods that can be quickly introduced into various application scenarios.

The main purpose of the invention is to establish an accurate battery health state model by testing a small amount of batteries, which has the advantages of high efficiency, low cost and high accuracy.

Another main object of the present invention is to comprehensively evaluate the elements of the future application habit of the battery, and to have higher practicability, and the number of times of remaining battery life can be calculated.

To achieve the above objective, the structure of the present invention comprises: a test system for charging and discharging at least one battery, and measuring a plurality of battery parameters from the middle, the test system is electrically connected to an integrated analysis system, and the system is combined with the batteries The parameter generates a performance indicator model, and the integrated analysis system information link has a model calculation unit for comparing the battery parameters and the performance indicator model, and the calculation generates a battery health state, and the integrated analysis system information link has a situation The evaluation unit is for selecting the application habit of inputting the battery, and the situation evaluation unit information is linked with a processing unit for calculating the life cycle state of the battery to predict the number of remaining cycles of use; when the user uses the invention to perform the battery In the prediction of the life cycle, the test system is used to charge and discharge at least one battery, and the plurality of battery parameters are measured from the middle, and then the integrated analysis system integrates the battery parameters to generate a performance index model, and then compares the battery parameters. Performance indicator model and calculation, resulting in a battery Kang state. Finally the battery of the future application used to conduct a comprehensive assessment, calculated to produce the life cycle status of the battery to predict remaining period of the frequency of use.

With the above technology, it can be used to solve the problems of the conventional battery cycle life estimation technology, such as long modeling time, high equipment cost, and failure to evaluate the life according to the future use situation, the use elasticity is poor, and the accuracy is low. To achieve the practical advancement of the above advantages.

1, 1a‧‧‧ test system

11‧‧‧Battery parameters

2‧‧‧Integrated Analysis System

21‧‧‧Performance indicator model

3‧‧‧Model calculation unit

31‧‧‧Performance indicator model

32‧‧‧Battery Reference Model

4‧‧‧Scenario Evaluation Unit

5‧‧‧Processing unit

6, 6a‧‧‧ battery

61‧‧‧sample battery

62‧‧‧Test battery

7a‧‧‧Battery data capture module

8a‧‧‧Cloud detection platform

The first figure is a block diagram of a preferred embodiment of the invention.

The second drawing is a block flow diagram of a preferred embodiment of the invention.

The third drawing is a schematic diagram (I) of the preferred embodiment of the present invention.

The fourth figure is a schematic diagram (2) of the implementation of the preferred embodiment of the present invention.

The fifth drawing is a schematic diagram (3) of the implementation of the preferred embodiment of the present invention.

Figure 6 is a schematic view showing the implementation of still another embodiment of the present invention.

In order to achieve the above objects and effects, the technical means and the structure of the present invention will be described in detail with reference to the preferred embodiments of the present invention.

Referring to the first and second figures, which are a block diagram and a block diagram of a preferred embodiment of the present invention, it is apparent that the present invention includes: a test system 1 with at least one The battery 6 is charged and discharged, and the plurality of battery parameters are measured from the middle; the integrated analysis system 2 electrically connected to the test system 1 is combined with the battery parameters to generate a performance index model; and the information is connected to the integrated analysis system 2 The model calculation unit 3 is configured to calculate a battery health state by comparing the battery parameters and the performance indicator model, and the model calculation unit 3 includes at least one battery reference model 32; an information link to the integrated analysis system The situation evaluation unit 4 of FIG. 2 is an application habit for selectively inputting the battery 6; and a processing unit 5 that links the situation evaluation unit 4 to calculate the life cycle state of the battery 6 to predict the number of remaining cycles. .

The battery 6 includes at least one sample battery 61 for measurement by the test system 1 and at least one test battery 62 for comparison by the model calculation unit 3.

The battery life cycle prediction method of the present invention comprises: (a) charging and discharging at least one battery by using a test system, and measuring a plurality of battery parameters from the middle, and the battery system comprises at least the same battery; The integrated analysis system integrates the battery parameters to generate a performance indicator model; (c) using a model calculation unit to compare the battery parameter of the battery to the performance indicator model to generate a battery health state, and the system includes At least one test battery; (d) utilizing a situation assessment unit to comprehensively evaluate the battery health status in conjunction with the future application habits of the battery; (e) Calculating the life cycle state of the battery by a processing unit to predict the number of remaining cycles of use.

With the above description, the structure of the present technology can be understood, and according to the corresponding cooperation of the structure, the battery 6 has less sample demand, the test speed is shortened, the cost is low, and the battery life and application can be accurately estimated. The flexibility is high, and the advantages of various application scenarios can be quickly introduced, and the detailed explanation will be described below.

Please refer to the first to fifth figures, which are structural block diagram, block flow diagram, implementation diagram (1), implementation diagram (2) and implementation diagram (3) of the preferred embodiment of the present invention. When the above components are assembled, it can be clearly seen from the figure that the test system 1 of the present invention can be a physical device or an application, and the integrated analysis system 2, the model calculation unit 3, the situation evaluation unit 4, and the processing unit 5 of the latter stage. The utility model can be an independent device or a program, or a function belonging to a calculation platform. When the battery 6 test and life estimation are performed by using the invention, the test system 1 is used to charge and discharge at least one battery 6 and The plurality of battery parameters 11 are measured, and then the integrated analysis system 2 integrates the battery parameters 11 to generate a performance index model 31, which selects a state of charge, temperature, current, load voltage, open circuit voltage, and voltage rebound rate. At least three battery parameters 11 such as internal impedance, power capacity, and capacitance capacity are expressed in a three-dimensional space, so the battery parameter 11 is compared using the model calculation unit 3. When the index model 31 performs the calculation, in order to simultaneously reference a plurality of battery parameters 11 and cooperate with the battery reference model 32 for various battery 6 state comparisons, the current state of the battery 6 can be accurately captured after the comparison to the performance index model. The drop position of 31 produces a battery health status 31. In this embodiment, the battery 6 is represented by a six-power diagram. The battery health status 31 is finally comprehensively evaluated by the situation evaluation unit 4 and the processing unit 5 in combination with the future application habit of the battery 6, and the battery is calculated and generated. The life cycle state of 6 to predict the number of times the remaining cycles are used. In this embodiment, after calculating the battery health state 31 of a certain battery 6, the life cycle state is evaluated by the conditions of different application scenarios such as electric vehicles, electric bicycles, and energy storage, and the use of the three scenarios is used. Habitual differences produce different results.

In the above embodiment, after the same or the same battery 6 is tested and modeled, the battery health state 31 is compared, and the battery 6 can be divided into the sample battery 61 and the test battery 62. For example, when the model is built from scratch, for the operation mode of the above embodiment, if the client has provided the parameters of the partial battery 6, or provides the model of the old and new battery 6 (sample battery 61), the user only needs to be simple. Test, which can be used to compare and correct the correct performance indicator model 31, and provide subsequent actual needs estimation. The test battery 62 is used as a basis. In this way, the user's test method is more flexible and more practical.

Please refer to the sixth embodiment at the same time, which is a schematic diagram of the implementation of another embodiment of the present invention. It can be clearly seen from the figure that the test system 1a of the embodiment includes an instant capture of the battery parameters and storage. The battery data capture module 7a of the performance indicator model and a cloud viewing platform 8a for instantly receiving the battery parameters of the remote end. With the above structure, the user can synchronously monitor the use state and usage habits of the battery 6a through the battery data capture module 7a when using the battery 6a, and can transmit to the cloud detection platform 8a through the network while simultaneously recording. The cloud detection platform 8a can store a plurality of performance indicator models of the battery 6a, so that the user only needs to transmit the monitoring content of the battery data capture module 7a to the cloud detection platform 8a, and can quickly compare in a few minutes. The current battery health status. The integrity of the performance indicator model stored in the module 7a can be retrieved according to the battery data, and corresponding to different processing conditions. For example, if the battery information capture module 7a does not contain any battery parameters, the battery information source data is directly transmitted to the cloud detection platform 8a for health evaluation after the measurement; if the battery information capture module 7a contains the portion The health status assessment function can transmit the pre-processed calculation data to the cloud detection platform 8a for health status assessment; if the battery information acquisition module 7a includes a complete health assessment function, the battery health status can be directly predicted, and The result is transmitted to the cloud detection platform 8a. In addition, the battery data capture module 7a can be installed in a smart phone, an in-vehicle system, a home router, etc., so that it can be instantly fed back according to user needs.

However, the above description is only the preferred embodiment of the present invention, and thus it is not intended to limit the scope of the present invention. Therefore, the simple modification and equivalent structural changes of the present specification and the drawings should be treated similarly. It is included in the scope of the patent of the present invention and is combined with Chen Ming.

Therefore, referring to all the drawings, when using the present invention, compared with the conventional technology, the following advantages exist:

First, the modeling speed is fast, using a comprehensive evaluation of a variety of battery parameters 11, the complete distribution model can be completed in a few days.

Second, the test efficiency is high, and the procedure of fully charging or completely discharging the battery 6 is not required, and the life of the battery 6 can be measured within a few minutes.

Third, the number of batteries required for the sample 6 is small, and the cost required for provincial modeling can be seen.

Fourth, the flexible evaluation of the conditions of various application scenarios, widely applicable to the life expectancy of various batteries 6, prediction of the number of uses, and higher accuracy.

In summary, the battery life cycle prediction system and method of the present invention are used when To achieve its efficacy and purpose, the invention is an invention with excellent practicability, in order to meet the application requirements of the invention patent, and to apply in accordance with the law, and hope that the trial committee will grant the invention as soon as possible to protect the applicant's hard invention, if The bureau's review committee has any doubts. Please do not hesitate to give instructions. The creators will try their best to cooperate with them.

1‧‧‧Test system

2‧‧‧Integrated Analysis System

3‧‧‧Model calculation unit

32‧‧‧Battery Reference Model

4‧‧‧Scenario Evaluation Unit

5‧‧‧Processing unit

6‧‧‧Battery

61‧‧‧sample battery

62‧‧‧Test battery

Claims (10)

A battery life cycle prediction system includes: a test system for charging and discharging at least one battery, and measuring a plurality of battery parameters from a medium quantity; an integrated analysis system electrically connected to the test system, the system is combined with the batteries The parameter generates a performance indicator model; a model is coupled to the model calculation unit of the integrated analysis system for comparing the battery parameters and the performance indicator model, and calculating a battery health state; and the information is linked to the situation of the integrated analysis system The evaluation unit is an application habit for selecting or inputting the battery; and an information processing unit connected to the situation evaluation unit is configured to calculate a life cycle state of the battery to predict the number of remaining periods of use. The battery life cycle prediction system of claim 1, wherein the battery system comprises at least one sample battery for measurement by the test system, and at least one test battery for comparison by the model calculation unit. The battery life cycle prediction system of claim 1, wherein the test system comprises a battery information capture module for instantly capturing the battery parameters and storing the performance indicator model. The battery life cycle prediction system according to claim 3, wherein the test system comprises a cloud detection platform for immediately receiving battery parameters of the remote end. The battery life cycle prediction system of claim 1, wherein the model calculation unit comprises at least one battery reference model. A battery life cycle prediction method includes: (a) charging and discharging at least one battery by using a test system, and measuring a plurality of battery parameters from the middle; (b) integrating the analysis system to integrate the battery parameters to generate a performance index a model; (c) using a model calculation unit to compare the battery parameter of the battery to the performance indicator model to generate a battery health state; (d) using a context evaluation unit to combine the battery health status with the battery future a comprehensive assessment of the application habits; and (e) Calculating the life cycle state of the battery by a processing unit to predict the number of remaining cycles of use. The battery life cycle prediction method according to claim 6, wherein the battery of the step (a) comprises at least the same battery, and the battery of the step (c) comprises at least one test battery. The method for predicting the life cycle of a battery as described in claim 6 wherein the test system comprises a battery information capture module for instantly capturing the battery parameters and storing the performance indicator model. The method for predicting the life cycle of a battery as described in claim 8 wherein the test system comprises a cloud detection platform for immediately receiving battery parameters of the remote end. The battery life cycle prediction method according to claim 6, wherein the model calculation unit includes at least one battery reference model.