A method, system, and device for SOC-assisted correction based on dynamic voltage range bands.

Abstract

This invention discloses a SOC-assisted correction method, system, and device based on dynamic voltage range. The method includes the following steps: S1, establishing a basic OCV-SOC curve for the battery based on battery characteristic test data, and pre-setting an initial voltage range in the voltage plateau region; S2, calculating the dynamic adjustment factor based on the collected current data, temperature data, and battery health status data through a pre-set dynamic adjustment factor calculation model. This invention relates to the field of battery management system technology. This SOC-assisted correction method based on dynamic voltage range achieves real-time calculation of the dynamic adjustment factor composed of current, temperature, and aging coefficient, adaptively expanding the effective judgment range of the voltage plateau region. When the voltage deviates from this range, the OCV method and the ampere-hour integral method are fused to output the corrected SOC, solving the problem of incorrect correction caused by fixed thresholds in traditional methods under dynamic operating conditions, and significantly improving estimation accuracy and robustness.

Description

Technical Field

[0001] This invention relates to the field of battery management systems, and more specifically, to a method, system, and device for SOC-assisted correction based on dynamic voltage range bands. Background Technology

[0002] In the field of battery management systems, accurate estimation of the battery's state of charge (SOC) is crucial for ensuring safe and efficient battery operation and extending battery life. Common SOC estimation methods include the open-circuit voltage method, the ampere-hour integration method, and the Kalman filter method. However, the ampere-hour integration method suffers from accumulated errors, the OCV method requires the battery to be fully rested, and the Kalman filter method is computationally complex and dependent on model accuracy.

[0003] For batteries such as lithium iron phosphate (LFP), there exists a voltage plateau region within the intermediate SOC range (e.g., 30% - 90%). Within this region, small voltage fluctuations correspond to relatively large SOC changes (e.g., ... Figure 3 As shown in the figure, this leads to significant errors in the OCV method.

[0004] To address the aforementioned issues, several correction methods have been proposed in the prior art, with the fixed voltage threshold correction method being a common one. This method sets a fixed voltage threshold, and when the battery voltage reaches these thresholds, the SOC estimation result is corrected. However, under actual dynamic operating conditions, battery performance is affected by various factors such as temperature and aging. These factors can cause changes in battery characteristics, making the fixed voltage threshold correction method prone to failure and unable to guarantee the accuracy and stability of SOC estimation. Summary of the Invention

[0005] 1. Technical problems to be solved

[0006] To address the problem that existing technologies suffer from the influence of various factors such as temperature and aging on battery performance under actual dynamic operating conditions, which can lead to changes in battery characteristics and cause the fixed voltage threshold correction method to fail, thus failing to guarantee the accuracy and stability of SOC estimation, the present invention aims to provide a SOC-assisted correction method based on dynamic voltage range bands. This method can provide a dynamically adjusted voltage range band SOC correction method, solve the problem of ambiguity in the voltage-SOC mapping in the plateau region, and improve the estimation accuracy throughout the entire life cycle and temperature range.

[0007] 2. Technical Solution

[0008] To solve the above problems, the present invention adopts the following technical solution.

[0009] A SOC-assisted correction method based on dynamic voltage range bands, characterized by the following steps:

[0010] S1. Establish the basic OCV-SOC curve of the battery based on the battery characteristic test data, and preset the initial voltage range in the voltage plateau region;

[0011] S2. Based on the collected current data, temperature data, and battery health status data, and combined with the preset dynamic adjustment factor calculation model, determine the dynamic adjustment factor. ;

[0012] The dynamic adjustment factor calculation model includes the following formula:

[0013] ;

[0014] Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ;

[0015] S3. Based on the dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment.

[0016] S4. When the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range, the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method are fused and corrected to output the corrected SOC value.

[0017] Furthermore, the initial voltage range is [range missing]. ,in,

[0018] ;

[0019] ;

[0020] in The initial offset was obtained through experimental calibration. This indicates that the corresponding open-circuit voltage value is obtained by looking up the table using SOC.

[0021] Furthermore, the bandwidth of the dynamic voltage range band Calculated using the following formula:

[0022] ;

[0023] in, This is the initial offset. The expansion factor is used to control the bandwidth as it increases. It expands linearly with the increase of .

[0024] Furthermore, the upper and lower limits of the dynamic voltage range band satisfy:

[0025] ;

[0026] ;

[0027] in, The internal resistance of the battery is obtained by looking up the table using Res(SOC, T, SOH).

[0028] Furthermore, the method also includes: setting a SOC correction trigger condition based on the dynamic voltage range, and determining whether the battery voltage monitoring data meets the trigger condition, including the following steps:

[0029] When real-time voltage The correction is triggered when the following conditions are met:

[0030] or Get corrections ;

[0031] according to exist and The curve is used for SOC reverse lookup; during correction, the SOC reverse lookup strategy is selected based on the charging and discharging state: charging state adopts... Reverse check, discharge status adopted Reverse lookup;

[0032] Correction based on the current charge / discharge state. If it is in a charging state, If it is in a discharge state, .

[0033] Furthermore, the formula for the fusion correction is:

[0034] ;

[0035] in, The SOC value obtained by reverse lookup using the OCV method. The SOC value is estimated using the ampere-hour integration method. As a weighting factor and with Negative correlation.

[0036] Furthermore, within the initial voltage range,

[0037] ;

[0038] ;

[0039] in This is the initial offset, obtained through experimental calibration.

[0040] Furthermore, the aforementioned The absolute value of the maximum permissible charge / discharge current of the battery under current conditions;

[0041] ;

[0042] in:

[0043] Current temperature and battery health Results obtained from table lookup;

[0044] Current temperature and battery health Results obtained from table lookup;

[0045] : Effective range of battery operating temperature range (unit: ℃ or K);

[0046] ;

[0047] in:

[0048] The maximum operating temperature of the battery;

[0049] : The minimum temperature at which the battery is allowed to operate.

[0050] A SOC-assisted correction system based on dynamic voltage band is used in the aforementioned SOC-assisted correction method based on dynamic voltage band, the system comprising:

[0051] The initial voltage range band is preset to establish the basic OCV-SOC curve of the battery based on battery characteristic test data, and to preset the initial voltage range band in the voltage plateau region.

[0052] The dynamic adjustment factor calculation unit is used to determine the dynamic adjustment factor based on the collected current data, temperature data, and battery health status data, combined with a preset dynamic adjustment factor calculation model. ;

[0053] The dynamic adjustment factor calculation model includes the following formula:

[0054] ;

[0055] Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ;

[0056] Dynamic voltage range adjustment unit, used to adjust according to dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment.

[0057] The SOC estimation fusion correction unit is used to perform fusion correction processing based on the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method when the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range data, so as to output the corrected SOC value.

[0058] An electronic device, comprising:

[0059] Processor; memory for storing instructions executable by the processor;

[0060] The processor is configured to execute the instructions to implement the above-described SOC-assisted correction method based on dynamic voltage range bands.

[0061] 3. Beneficial effects

[0062] Compared with the prior art, the advantages of this invention are:

[0063] 1. By establishing a basic OCV-SOC curve for the battery and defining an initial voltage range, a dynamic adjustment factor is calculated based on real-time current, temperature, and health status to adjust the voltage judgment range in real time, forming a dynamic voltage range. This dynamic adjustment mechanism can fully consider the characteristic changes of the battery under different operating conditions. Compared with the traditional fixed voltage range method, it can more accurately reflect the actual state of the battery, effectively reduce the SOC estimation error caused by changes in battery operating conditions, and thus improve the accuracy of SOC estimation.

[0064] 2. The magnitude of the current affects the charging and discharging rate of the battery, temperature has a significant impact on the battery's chemical reaction and internal resistance, and the health status reflects the degree of battery aging. By incorporating these factors into the calculation of the adjustment factor, this method can adapt to different operating conditions such as current, temperature and battery aging, ensuring accurate estimation of SOC in various complex environments and enhancing the system's adaptability to different usage scenarios.

[0065] 3. Lightweight calculation, requiring only simple formula operations, suitable for embedded BMS. Attached Figure Description

[0066] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0067] Figure 1 This is a block diagram of the SOC correction logic of the present invention;

[0068] Figure 2 This is a flowchart of the dynamic voltage range band generation process of the present invention;

[0069] Figure 3 This is a schematic diagram of the OCV-SOC curve and voltage plateau region of an LFP battery.

[0070] Figure 4 A comparison chart of dynamic voltage range band changes under a current multiplier of 0.1C;

[0071] Figure 5 A comparison chart of dynamic voltage band variations under a current multiplier of 0.2C;

[0072] Figure 6 A comparison chart of dynamic voltage band variations under a current multiplier of 0.33C;

[0073] Figure 7 This is a comparison chart of dynamic voltage range changes at a current multiplier of 0.5C. Detailed Implementation

[0074] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0075] Example 1:

[0076] Please see Figure 1-3This invention provides a technical solution: a SOC-assisted correction method based on dynamic voltage range, the method comprising the following steps:

[0077] S1. Establish the basic OCV-SOC curve of the battery based on the battery characteristic test data, and preset the initial voltage range in the voltage plateau region;

[0078] Here, OCV stands for Open Circuit Voltage, which is the battery voltage when there is no load or external current. It forms the basis of the relationship between the battery's SOC (State of Charge) and voltage, and is commonly used to estimate the battery's SOC. The state of charge represents the percentage of electrical energy currently stored in the battery relative to its maximum capacity. SOC describes the remaining charge of the battery, i.e., whether the battery is fully charged or low-charged. The voltage plateau region is a range within which the battery voltage changes relatively little; it is often called the voltage plateau region and is an important reference area for SOC estimation because the battery voltage is less sensitive to changes in SOC within this region.

[0079] S2. Based on the collected current data, temperature data, and battery health status data, and combined with the preset dynamic adjustment factor calculation model, determine the dynamic adjustment factor. ;

[0080] The dynamic adjustment factor calculation model includes the following formula:

[0081] ;

[0082] Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ;

[0083] The dynamic adjustment factor is a factor used to adjust the battery SOC estimation in real time, taking into account the real-time operating conditions of the battery. It is calculated using parameters such as battery current, temperature, and health status, and is used to adjust the battery's voltage range.

[0084] S3. Based on the dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment.

[0085] Among them, the dynamic voltage range refers to the range in which the battery voltage may change based on real-time conditions. In this method, the dynamic voltage range is adjusted according to real-time current, temperature and health status to ensure more accurate SOC estimation.

[0086] S4. When the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range, the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method are fused and corrected to output the corrected SOC value.

[0087] Among them, the open-circuit voltage method is a commonly used method to estimate the state of charge (SOC) by measuring the open-circuit voltage of the battery. This method relies on the established OCV-SOC curve relationship. The ampere-hour integration method is a method to estimate the SOC by using real-time current (usually charging current or discharging current). It is based on the charging and discharging process of the battery and obtains the battery's SOC by integrating the current. SOC estimation correction is achieved by combining the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method, which can improve the accuracy of SOC estimation. When the battery voltage deviates from the dynamic voltage range, the estimation results of the two methods are combined for correction to ensure the accuracy of SOC.

[0088] Specifically, the initial voltage range is as follows: ,in,

[0089] ;

[0090] ;

[0091] in The initial offset was obtained through experimental calibration. This indicates that the corresponding open-circuit voltage value is obtained by looking up the table using SOC.

[0092] Wherein, the bandwidth of the dynamic voltage range band Calculated using the following formula:

[0093] ;

[0094] in, This is the initial offset. The expansion factor is used to control the bandwidth as it increases. It expands linearly with the increase of .

[0095] The upper and lower limits of the dynamic voltage range band satisfy the following:

[0096] ;

[0097] ;

[0098] in, The internal resistance of the battery is obtained by looking up the table using Res(SOC, T, SOH).

[0099] Furthermore, based on the dynamic voltage range, a trigger condition for SOC correction is set, and it is determined whether the battery voltage monitoring data meets the trigger condition, including the following steps:

[0100] When real-time voltage The correction is triggered when the following conditions are met:

[0101] or Get corrections ;

[0102] according to exist and The curve is used for SOC reverse lookup; during correction, the SOC reverse lookup strategy is selected based on the charging and discharging state: charging state adopts... Reverse check, discharge status adopted Reverse lookup;

[0103] Correction based on the current charge / discharge state. If it is in a charging state, If it is in a discharge state, .

[0104] The formula for the fusion correction is as follows:

[0105] ;

[0106] in, The SOC value obtained by reverse lookup using the OCV method. The SOC value is estimated using the ampere-hour integration method. As a weighting factor and with Negative correlation.

[0107] Among them, the The absolute value of the maximum permissible charge / discharge current of the battery under current conditions;

[0108] ;

[0109] in:

[0110] Current temperature and battery health Results obtained from table lookup;

[0111] Current temperature and battery health Results obtained from table lookup;

[0112] : Effective range of battery operating temperature range (unit: ℃ or K);

[0113] ;

[0114] in:

[0115] The maximum operating temperature of the battery;

[0116] : The minimum temperature at which the battery is allowed to operate.

[0117] Example 2

[0118] A SOC-assisted correction system based on dynamic voltage band is provided for executing the aforementioned SOC-assisted correction method based on dynamic voltage band. The system includes:

[0119] The initial voltage range band is preset to establish the basic OCV-SOC curve of the battery based on battery characteristic test data, and to preset the initial voltage range band in the voltage plateau region.

[0120] The dynamic adjustment factor calculation unit is used to determine the dynamic adjustment factor based on the collected current data, temperature data, and battery health status data, combined with a preset dynamic adjustment factor calculation model. ;

[0121] The dynamic adjustment factor calculation model includes the following formula:

[0122] ;

[0123] Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ;

[0124] Dynamic voltage range adjustment unit, used to adjust according to dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment.

[0125] The SOC estimation fusion correction unit is used to perform fusion correction processing based on the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method when the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range data, so as to output the corrected SOC value.

[0126] Example 3

[0127] An electronic device, comprising:

[0128] Processor; memory for storing instructions executable by the processor;

[0129] The processor is configured to execute the instructions to implement the above-described SOC-assisted correction method based on dynamic voltage range bands.

[0130] The electronic device proposed in this invention can be specifically implemented as a battery management system terminal or an intelligent battery monitoring device. This device integrates a current sensor, a temperature sensor, and a battery health status monitoring module, enabling it to collect real-time current data, temperature data, and battery health status data during battery operation. The device's built-in processor executes a SOC-assisted correction method based on a dynamic voltage range band according to a preset algorithm and model.

[0131] In use, the electronic device first establishes a basic OCV-SOC curve for the battery based on battery characteristic test data, and presets an initial voltage range within the voltage plateau region. Next, based on various collected data, a preset dynamic adjustment factor calculation model is used to determine the dynamic adjustment factor. This model comprehensively considers factors such as the real-time absolute current value, the maximum allowable absolute charge / discharge current under current operating conditions, real-time temperature, reference temperature, operating temperature range, and battery health, and calculates the dynamic adjustment factor using a specific formula. Subsequently, the initial voltage judgment range data is dynamically adjusted according to the dynamic adjustment factor to obtain the dynamic voltage range and the real-time adjusted voltage judgment range data.

[0132] During battery operation, the electronic device continuously monitors battery voltage data. When the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range, the device triggers the SOC correction mechanism. At this time, a fusion correction process is performed based on the SOC estimation results from the open-circuit voltage method and the ampere-hour integration method. During the fusion correction process, the triggering conditions for SOC correction are set based on the dynamic range, and it is determined whether the battery voltage monitoring data meets the triggering conditions. The corresponding SOC reverse lookup strategy is selected according to different charge and discharge states, and finally, the corrected SOC value is output according to the fusion correction formula. The fusion correction formula comprehensively considers the SOC value obtained by the OCV method, the SOC value estimated by the ampere-hour integration method, and the negatively correlated weighting factor.

[0133] This electronic device is particularly suitable for scenarios requiring high accuracy in battery SOC estimation, such as electric vehicles and energy storage systems. Through real-time, precise SOC correction, it effectively improves the accuracy and reliability of battery management, extends battery life, and ensures stable equipment operation. The device can synchronize battery status data and corrected SOC values ​​to the cloud or other monitoring platforms via wired interfaces (such as USB and CAN) or wireless transmission methods (such as Bluetooth and Wi-Fi), supporting remote battery monitoring and data analysis, and providing data support for optimized battery use and maintenance.

[0134] To more clearly illustrate the present invention and its advantages, the method provided by the present invention will be further explained below in conjunction with specific experimental data.

[0135] Figure 3 This is experimental data for a battery cell used in a certain project, used here to illustrate the relationship between voltage plateau and SOC. The original data is shown in the table below (SOC: 1%, Voltage: mV):

[0136] Table 1. Cell Experimental Data

[0137] ;

[0138] This data was obtained from a test with a SO₂ content of 100% and the sample left to stand for a sufficient period of time. Figure 3 The data for the plateau period calculation in China and Africa is based on 0-30%, while the data for the plateau period calculation is based on 30-98%. This is due to changes in cell lifespan and charge / discharge current values. Figure 4-7 The dynamic voltage curve will be updated as the internal resistance and real-time current decrease with the decay of SOH.

[0139] Figure 4-7 It is based on Figure 3 And the battery internal resistance corresponding to different current rates (0.1C, 0.2C, 0.33C, 0.5C) and SOC range. (mΩ) Dynamic voltage range construction is performed (data in Table 1 is) Figure 4-7 The construction basis is shown in Table 2, which shows the battery internal resistance corresponding to the SOC range. The purpose is to reflect the dynamic change characteristics of the voltage range between different rates (this is a plot where constant current only controls the SOC change, but in actual use, both current and SOC will change).

[0140] Table 2 Battery internal resistance corresponding to SOC range

[0141] ;

[0142] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0143] The above embodiments provide a detailed description of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A SOC-assisted correction method based on dynamic voltage range bands, characterized in that, The method includes the following steps: S1. Establish the basic OCV-SOC curve of the battery based on the battery characteristic test data, and preset the initial voltage range in the voltage plateau region; S2. Based on the collected current data, temperature data, and battery health status data, and combined with the preset dynamic adjustment factor calculation model, determine the dynamic adjustment factor. ; The dynamic adjustment factor calculation model includes the following formula: ； Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ; S3. Based on the dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment. S4. When the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range, the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method are fused and corrected to output the corrected SOC value.

2. The SOC-assisted correction method based on dynamic voltage range bands according to claim 1, characterized in that: The initial voltage range is: , in, ； ； in The initial offset was obtained through experimental calibration. This indicates that the corresponding open-circuit voltage value is obtained by looking up the table using SOC.

3. The SOC-assisted correction method based on dynamic voltage range bands according to claim 2, characterized in that: The bandwidth of the dynamic voltage range Calculated using the following formula: ； in, This is the initial offset. The expansion factor is used to control the bandwidth as it increases. It expands linearly with the increase of .

4. The SOC-assisted correction method based on dynamic voltage range bands according to claim 3, characterized in that: The upper and lower limits of the dynamic voltage range band satisfy: ； ； in, The internal resistance of the battery is obtained by looking up the table using Res(SOC, T, SOH).

5. The SOC-assisted correction method based on dynamic voltage range according to claim 4, wherein before step S4, the method further includes: Based on the dynamic voltage range, the trigger condition for SOC correction is set, and it is determined whether the battery voltage monitoring data meets the trigger condition, including the following steps: When real-time voltage The correction is triggered when the following conditions are met: or Get corrections ; according to exist and The curve is used for SOC reverse lookup; during correction, the SOC reverse lookup strategy is selected based on the charging and discharging state: charging state adopts... Reverse check, discharge status adopted Reverse lookup; Correction based on the current charge / discharge state. If it is in a charging state, If it is in a discharge state, .

6. The SOC-assisted correction method based on dynamic voltage range bands according to claim 5, characterized in that: The formula for the fusion correction is: ； in, The SOC value obtained by reverse lookup using the OCV method. The SOC value is estimated using the ampere-hour integration method. As a weighting factor and with Negative correlation.

7. The SOC-assisted correction method based on dynamic voltage range bands according to claim 2, characterized in that: The The absolute value of the maximum permissible charge / discharge current of the battery under current conditions; ； in: Current temperature and battery health Results obtained from table lookup; Current temperature and battery health Results obtained from table lookup; : Effective range of battery operating temperature range (unit: ℃ or K); ； in: The maximum operating temperature of the battery; : The minimum temperature at which the battery is allowed to operate.

8. A SOC-assisted correction system based on dynamic voltage range bands, used to execute the SOC-assisted correction method based on dynamic voltage range bands as described in any one of claims 1-7, characterized in that, The system includes: The initial voltage range band is preset to establish the basic OCV-SOC curve of the battery based on battery characteristic test data, and to preset the initial voltage range band in the voltage plateau region. The dynamic adjustment factor calculation unit is used to determine the dynamic adjustment factor based on the collected current data, temperature data, and battery health status data, combined with a preset dynamic adjustment factor calculation model. ; The dynamic adjustment factor calculation model includes the following formula: ； Where I is the absolute value of the real-time current. This represents the absolute value of the maximum permissible charge and discharge current under the current operating conditions. For real-time temperature, For reference temperature, The operating temperature range is defined by the SOH value, which represents the battery health status. , , The weighting coefficients and ; Dynamic voltage range adjustment unit, used to adjust according to dynamic adjustment factor The initial voltage judgment range data is dynamically adjusted to obtain a dynamic voltage interval band, so as to obtain the voltage judgment range data after real-time adjustment. The SOC estimation fusion correction unit is used to perform fusion correction processing based on the SOC estimation results of the open-circuit voltage method and the ampere-hour integration method when the battery voltage monitoring data deviates from the real-time adjusted voltage judgment range data, so as to output the corrected SOC value.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement a SOC-assisted correction method based on a dynamic voltage range band as described in any one of claims 1 to 7.

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