Battery SOC correction methods, storage media, systems and vehicles

Abstract

This application provides a battery SOC correction method, storage medium, system, and vehicle. The battery SOC correction method includes: acquiring the current vehicle-side SOC of the power battery; sending the current vehicle-side SOC to the cloud, wherein the cloud is used to provide correction information and a correction command when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference; the correction information includes the current cloud-side SOC; and upon receiving the correction command, correcting the current vehicle-side SOC based on the current cloud-side SOC. In this application, the SOC of the cloud and the vehicle are compared, and an accurate SOC is determined based on the comparison result. Then, the current battery SOC is corrected based on the accurate battery SOC, thereby ensuring that the vehicle displays an accurate vehicle-side battery SOC and avoiding abnormal vehicle operation.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a battery SOC correction method, storage medium, system, and vehicle. Background Technology

[0002] The State of Charge (SOC) of a battery reflects the current remaining charge of the vehicle's power battery, while the State of Health (SOH) reflects the battery's deterioration performance. During battery operation, it is crucial to monitor the accuracy of the SOC in real time. Inaccurate SOC detection can easily lead to vehicle malfunctions. For example, if the battery SOC is too high (indicating insufficient SOC), but the vehicle still perceives a sufficient SOC, this misjudgment can cause the vehicle to malfunction due to insufficient remaining SOC while driving.

[0003] The aforementioned problem of inaccurate battery SOC is usually avoided by correcting the battery SOC. However, in the process of correcting the battery SOC of a vehicle, an accurate battery SOC value is required. If the battery SOC used for correction is an inaccurate value, it is difficult to achieve accurate correction of the battery SOC.

[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this invention is to provide a battery SOC correction method, storage medium, system, and vehicle, aiming to solve the technical problem that it is difficult to accurately correct the battery SOC in the prior art.

[0006] To achieve the above objectives, the present invention proposes a battery SOC correction method, the battery SOC correction method comprising:

[0007] Obtain the current vehicle-side SOC of the power battery;

[0008] The current vehicle-side SOC is sent to the cloud. The cloud is used to provide correction information and correction instructions when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference. The correction information includes the current cloud-side SOC.

[0009] Upon receiving the correction instruction, the current vehicle-side SOC is corrected based on the current cloud-based SOC.

[0010] Optionally, upon receiving the correction instruction, correcting the current vehicle-side SOC based on the current cloud-based SOC includes:

[0011] The current current of the power battery and the duration of the current current are detected.

[0012] When the current current is not greater than a preset current threshold and the duration reaches a preset duration, the current vehicle-side SOC is adjusted to the current cloud-side SOC.

[0013] Optionally, after detecting the current current of the power battery and the duration of the current current, the method further includes:

[0014] When the current current is greater than a preset current threshold or the duration is less than the preset duration, the vehicle operating mode and whether the current cloud SOC are within the SOC limit range are detected.

[0015] When the current cloud SOC is within the SOC limit range, a battery SOC correction coefficient is determined based on the vehicle operating mode, the current cloud SOC, and the current vehicle-side SOC.

[0016] The current vehicle-side SOC is corrected based on the battery SOC correction factor and the current current.

[0017] Optionally, the step of correcting the current vehicle-side SOC based on the battery SOC correction factor and the current current includes:

[0018] Determine the current direction and current value of the current;

[0019] The battery SOC correction factor, the current value, and the current direction determine the corrected SOC within the correction period;

[0020] The current vehicle-side SOC is adjusted based on the adjusted battery SOC during the correction cycle.

[0021] Optionally, after detecting the vehicle operating mode and whether the current cloud-based SOC is within the SOC limitation range, the process includes:

[0022] When the current cloud SOC is not within the SOC limit range, the corrected SOC within the correction period is determined based on the vehicle operating mode and the current vehicle-side SOC;

[0023] The current vehicle-side SOC is adjusted based on the adjusted battery SOC during the correction cycle.

[0024] Optionally, the correction information further includes: battery model parameters; after sending the current vehicle-side SOC to the cloud, and the cloud providing correction information and correction instructions when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference, the method further includes:

[0025] Upon receiving the correction instruction, the correction method for the current vehicle-side SOC is detected;

[0026] When the correction method is the model correction method, the battery model is corrected using the battery model parameters;

[0027] The target vehicle-side SOC is determined based on the revised battery model.

[0028] Optionally, the battery SOC correction method further includes:

[0029] Detect battery storage data within the vehicle;

[0030] When an anomaly is detected in the battery storage data, a flag request is sent to the cloud. The flag request is used to control the cloud to provide cloud storage data. The cloud storage data includes the initial cloud SOC.

[0031] Upon receiving the cloud-stored data, the initial cloud-stored SOC within the cloud-stored data is used as the initial corrected SOC to correct the SOC of the power battery.

[0032] In addition, to achieve the above objectives, this application also provides a storage medium storing a battery SOC correction program, which, when executed by a processor, implements the steps of the battery SOC correction method.

[0033] In addition, to achieve the above objectives, this application also provides a battery SOC correction system, which includes a cloud and a battery management system, wherein the battery management system is used to execute the battery SOC correction method.

[0034] In addition, to achieve the above objectives, this application also provides a vehicle that includes the aforementioned battery SOC correction system.

[0035] This application provides a battery SOC correction method, storage medium, system, and vehicle. The battery SOC correction method includes: acquiring the current vehicle-side SOC of the power battery; sending the current vehicle-side SOC to the cloud, wherein the cloud is used to provide correction information and a correction command when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference; the correction information includes the current cloud-side SOC; and upon receiving the correction command, correcting the current vehicle-side SOC based on the current cloud-side SOC. In this application, the SOC of the cloud and the vehicle are compared, and an accurate SOC is determined based on the comparison result. Then, the current battery SOC is corrected based on the accurate battery SOC, thereby ensuring that the vehicle displays an accurate vehicle-side battery SOC and avoiding abnormal vehicle operation. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating the first embodiment of the battery SOC correction method proposed in this invention.

[0038] Figure 2 This is a schematic diagram of the first process of the second embodiment of the battery SOC correction method proposed in this invention;

[0039] Figure 3 This is a schematic diagram of the second process of the second embodiment of the battery SOC correction method proposed in this invention;

[0040] Figure 4 This is a schematic diagram of the third process of the second embodiment of the battery SOC correction method proposed in this invention;

[0041] Figure 5 This is a flowchart illustrating the third embodiment of the battery SOC correction method proposed in this invention.

[0042] Figure 6 This is a flowchart illustrating the fourth embodiment of the battery SOC correction method proposed in this invention.

[0043] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0044] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0045] 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0046] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0047] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. When the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent and not within the scope of protection claimed by this invention.

[0048] Reference Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the battery SOC correction method proposed in the invention. Based on Figure 1 The first embodiment of the battery SOC correction method of the present invention is presented.

[0049] In the first embodiment, the battery SOC correction method includes:

[0050] Step S10: Obtain the current vehicle-side SOC of the power battery.

[0051] It should be understood that, in this embodiment, the executing entity may be the battery management system of the power battery. The battery management system can monitor information such as the usage status, usage time, and cell temperature of the power battery, and can also interact with the cloud to transmit power battery data to the cloud for storage or processing, and receive data output from the cloud when the vehicle-side data is lost.

[0052] It should be understood that under prolonged use, the vehicle's SOC may become inaccurate, and the vehicle's correction strategy may fail to be triggered or may be inaccurate. In such cases, the battery SOC may be artificially high or low, which may lead to a decline in battery performance, a reduction in vehicle range, or even vehicle breakdown due to large SOC errors, resulting in customer complaints.

[0053] It should be noted that the current vehicle-side SOC is the remaining charge of the battery obtained after the vehicle's internal monitoring system detects the battery during normal operation. If the current vehicle-side SOC is falsely low, users may perceive insufficient remaining SOC and require frequent charging; conversely, if the current vehicle-side SOC is falsely high, users may misjudge the battery's remaining driving range, leading to vehicle breakdowns.

[0054] To avoid the aforementioned problems, it is necessary to estimate the current vehicle-side SOC of the power battery in real time during normal vehicle operation. Specifically, this estimation process can be achieved by collecting the output electrical parameters of the power battery, determining the remaining SOC change based on these parameter changes, and finally determining the current vehicle-side SOC based on the initial and changed values. Of course, other methods can also be used to estimate the current vehicle-side SOC; specific limitations are not specified here.

[0055] Step S20: Send the current vehicle-side SOC to the cloud. The cloud is used to provide feedback correction information and correction instructions when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference.

[0056] It should be noted that the current cloud-based SOC refers to the remaining SOC of the power battery obtained by the cloud through a neural network-based battery SOC estimation model based on real-vehicle data. The preset difference is a pre-set value used to determine whether the current vehicle-side SOC is abnormally high or low. For example, if the preset difference is 5%, and the SOC difference between the current vehicle-side SOC and the current cloud-based SOC reaches 5%, the current vehicle-side SOC is considered abnormal. Correction information refers to the information used in the process of correcting for abnormally high or low vehicle-side SOC. This correction information may include the current cloud-based SOC, the current cloud-based degradation rate, etc. Of course, if the SOC difference between the current vehicle-side SOC and the current cloud-based SOC is very small, such as less than 1%, then the current vehicle-side SOC can be considered not to be abnormally high or low. The correction command is the command used to control the power battery system to initiate the correction of the remaining SOC of the power battery.

[0057] It should be understood that a neural network-based battery SOC estimation model is installed in the cloud, which can obtain a relatively accurate remaining SOC of the power battery. To determine whether the current vehicle-side SOC is artificially high or low, the current vehicle-side SOC needs to be compared with the current cloud-based SOC. The difference between the two and a preset difference is used to determine whether the current vehicle-side SOC is abnormal. If an anomaly is found, correction information and correction instructions can be fed back.

[0058] Step S30: Upon receiving the correction instruction, correct the current vehicle-side SOC based on the current cloud-based SOC.

[0059] It should be understood that upon receiving correction instructions and correction information, the current vehicle-side SOC can be directly corrected based on the current cloud-based SOC. Specifically, the correction process involves adjusting the current vehicle-side SOC to match the current cloud-based SOC. This process can be performed directly within a short timeframe or at a set interval, depending on the actual situation; no specific limitations are specified here.

[0060] This embodiment provides a battery SOC correction method, which includes: acquiring the current vehicle-side SOC of the power battery; sending the current vehicle-side SOC to the cloud, wherein the cloud is used to provide correction information and a correction command when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference; the correction information includes the current cloud-side SOC; and upon receiving the correction command, correcting the current vehicle-side SOC based on the current cloud-side SOC. By comparing the cloud-side SOC with the vehicle-side SOC, an accurate SOC is determined based on the comparison result, and then the current battery SOC is corrected based on the accurate battery SOC, thereby ensuring that the vehicle displays an accurate vehicle-side battery SOC and avoiding abnormal vehicle operation.

[0061] Reference Figure 2 , Figure 2 This is a schematic diagram of the first process of the second embodiment of the battery SOC correction method of this application. Step S30 specifically includes:

[0062] Step S31: Detect the current current of the power battery and the duration of the current current.

[0063] It should be understood that when correcting the current vehicle-side SOC, the specific correction method can be determined based on the battery's output state. For example, if the battery is discharging to power the vehicle, directly correcting the current vehicle-side battery SOC to the current cloud-based SOC might cause a sudden change in the battery's output power, resulting in a poor driving experience for the user. Of course, when the vehicle is not moving and the battery does not need to output significant power, directly adjusting the current vehicle-side SOC to the current cloud-based SOC will not affect the user's driving experience.

[0064] Therefore, when correcting the current State of Charge (SOC) of the vehicle, it is necessary to determine the output state of the power battery. The current current refers to the current output or input of the power battery in its current operating state. The duration is used to accurately determine the power battery's output state. When the current is low, it can be preliminarily determined that the power battery has no high power input or output requirement. To avoid accidental situations, the duration of this current can be used to eliminate such situations and obtain the accurate power battery power output requirement. This duration can be set according to the user's driving habits; for example, it can be set to 1 minute when waiting at a traffic light.

[0065] In practice, the current output by the power battery can be collected and the duration of the current can be recorded at the same time, so as to obtain the current and the duration of the current.

[0066] Step S32: When the current current is not greater than the preset current threshold and the duration reaches the preset duration, adjust the current vehicle-side SOC to the current cloud-side SOC.

[0067] It should be understood that if the current is not greater than the preset current threshold, it can be assumed that the power battery does not require high-power input or output. Similarly, if the duration reaches the preset duration, it can be concluded that the power battery indeed does not require high-power output or input, and the vehicle may be idling. At this point, the current vehicle-side SOC can be directly adjusted to the current cloud-based SOC, allowing for a quick adjustment of the vehicle-side SOC without affecting the user experience.

[0068] Reference Figure 3 , Figure 3 Following step S31, as shown in the second flowchart of the second embodiment of the battery SOC correction method of this application, the method further includes:

[0069] Step S33: When the current current is greater than the preset current threshold or the duration does not reach the preset duration, detect the vehicle operating mode and whether the current cloud SOC is within the SOC limit range.

[0070] It should be noted that the vehicle operating mode refers to the current working state of the vehicle, i.e., the mode corresponding to the input or output power requirements of the power battery. This operating mode can be vehicle driving mode, vehicle charging mode, vehicle off mode, etc. The SOC limit range refers to the range of SOC that the power battery can reach during charging or discharging. For example, if the charging process can charge the power battery to 95% SOC, and the discharging process can release the power battery to 10% SOC, then the SOC limit range is [10%~95%]. When the current cloud-based SOC is within this limit range, it can be assumed that the power battery is not overcharged or over-discharged, and the current cloud-based SOC is not abnormal. The current cloud-based SOC can be directly used to correct the current vehicle-side SOC. Conversely, when the current cloud-based SOC is not within this limit range, there may be overcharging or over-discharging of the power battery, or the current vehicle-side SOC of the power battery may be abnormal. Therefore, it can be determined whether the current vehicle-side SOC needs to be corrected based on the current cloud-based SOC. For example, in vehicle driving mode, if the power battery is over-discharged, the current cloud-based SOC may fall below the lower limit of the SOC limit. In order to avoid the power battery being affected by prolonged over-discharge, the current vehicle-side SOC of the power battery can be adjusted to the lower limit as soon as possible.

[0071] In practice, if it is determined that the current is greater than the preset current threshold or the duration is less than the preset duration, i.e., the power battery has a large power demand, the vehicle operation mode can be detected first. Then, the current cloud SOC can be compared with the upper and lower limits of the SOC limit range to determine the vehicle operation mode and whether the current cloud SOC is within the SOC limit range.

[0072] Step S34: When the current cloud SOC is within the SOC limit range, determine the battery SOC correction coefficient based on the vehicle operating mode, the current cloud SOC, and the current vehicle-side SOC.

[0073] It is understandable that when the current cloud-based SOC is determined to be within the aforementioned SOC limit range, it is assumed that the current cloud-based SOC is not abnormal, and the power battery is neither over-discharged nor over-charged. Considering the power battery's power requirements, the current vehicle-side SOC needs to be adjusted slowly to minimize the impact on the user's driving experience. In this embodiment, a battery SOC correction coefficient is also set. This coefficient controls the current vehicle-side SOC to slowly correct to the current cloud-based SOC over a period of time, thereby avoiding a reduction in the user's driving experience.

[0074] It should be noted that, since the vehicle's operating mode can cause changes in the charging or discharging process of the power battery, the target value for the current cloud-based battery SOC correction process is the current vehicle-side SOC, which is the initial value for the correction process. Therefore, the battery SOC correction coefficient can be directly determined based on the vehicle's operating mode, the current cloud-based SOC, and the current vehicle-side SOC.

[0075] In practical implementation, if the vehicle is in driving mode, then k = (SOC vehicle - SOC lower limit) / (SOC cloud - SOC lower limit), where k is the correction coefficient, SOC vehicle is the current vehicle-side SOC, SOC lower limit is the lower limit of the SOC limit range, and SOC cloud is the current cloud-side SOC; if the vehicle is in charging mode, then k = (SOC upper limit - SOC vehicle) / (SOC upper limit - SOC cloud), where SOC upper limit is the upper limit of the SOC limit range; when the vehicle is in other operating modes (non-idle mode, non-driving mode, and non-charging mode), the battery SOC correction coefficient is considered to be 1.

[0076] Step S35: Correct the current vehicle-side SOC based on the battery SOC correction factor and the current current.

[0077] Understandably, given the battery SOC correction factor and the current current, the current current can be directly corrected using the correction factor over the entire correction period. Then, the current vehicle-side SOC can be determined using ampere-hour integration until the current vehicle-side battery SOC is corrected to the current cloud-side SOC.

[0078] Step S35 specifically includes:

[0079] Step S351: Determine the current direction and current value of the current.

[0080] It should be understood that the method of correcting the current varies depending on the direction of the current under different operating modes. For example, in the vehicle's driving mode, if the current is the discharge current of the power battery, the correction current for correcting the current is k*I; if the current is the charging current of the power battery, the current direction is completely opposite to the discharge current, and the correction current for correcting the current is I / k. That is, when energy recovery occurs during the discharge process, the current can be corrected quickly. For example, if the lower limit is 2% and the upper limit is 100%, and the current vehicle-side SOC is high (50% at the vehicle end and 40% at the cloud end), and the vehicle is in driving mode, then k = (50-2) / (40-2) > 1. At this time, the discharge current is k*I, and the SOC decreases rapidly; the charging current is I / k, and the SOC increases slowly. If the vehicle is in charging mode, then k = (100-50) / (100-40) < 1. At this time, the discharge current is I / k, and the SOC decreases rapidly; the charging current is k... *I, SOC rises slowly; similarly, if the current vehicle-side SOC is low, the current vehicle-side SOC is 30%; the current cloud-side SOC is 40%; when the vehicle is in driving mode, k=(30-2) / (40-2)<1; the discharge current is k*I, SOC decreases slowly; the charging current is I / k, SOC rises rapidly; when the vehicle is in charging mode, k=(100-30) / (100-40)>1; the discharge current is I / k, SOC decreases slowly; the charging current is k*I, SOC rises rapidly.

[0081] Step S352: Determine the corrected SOC within the correction period using the battery SOC correction coefficient, the current value, and the current direction.

[0082] Step S353: During the correction cycle, correct the current vehicle-side SOC based on the corrected battery SOC.

[0083] It should be understood that, given a fixed battery SOC correction factor, current value, and current direction, these parameters can be used directly to calculate the amount of battery SOC correction that can be performed per unit time. With a defined correction period, the corrected battery SOC within that period can be determined. The correction period is a correction time that does not affect the user's driving experience and is related to the specific corrected battery SOC, specifically the difference between the current vehicle-side SOC and the current cloud-based SOC. Correcting the current vehicle-side SOC within this correction period will not affect the user's driving experience.

[0084] In practical implementation: If the vehicle is in driving mode and the current current is the discharge current, then SOC(n+1) = SOC(n) - k*abs(I)*T / Q*100; if the current current is the charging current, then SOC(n+1) = SOC(n) + abs(I)*T / Q / k*100, where abs(I) is the absolute value of the current current; Q is the capacity (i.e., the product of the rated capacity and SOH), SOC(n) is the current vehicle-side SOC, SOC(n+1) is the current vehicle-side SOC corrected for one calculation cycle, and T is the calculation cycle. If the vehicle is in charging mode and the current current is the discharge current, then SOC(n+1) = SOC(n) - abs(I)*T / Q / k*100; if the current current is the charging current, then SOC(n+1) = SOC(n) + k*abs(I)*T / Q*100.

[0085] When the vehicle is in other operating modes (non-idle mode, non-driving mode, and non-charging mode), k is directly identified as 1. The current vehicle-side SOC is corrected according to SOC(n+1) = SOC(n) - I*T / Q*100, where I is the current current, with positive values ​​for discharging and negative values ​​for charging.

[0086] Reference Figure 4 , Figure 4 Following step S33, as shown in the third flowchart of the second embodiment of the battery SOC correction method of this application, the method includes:

[0087] Step S36: When the current cloud SOC is not within the SOC limit range, determine the corrected SOC within the correction period based on the vehicle operating mode and the current vehicle-side SOC;

[0088] Step S37: During the correction cycle, correct the current vehicle-side SOC based on the corrected battery SOC.

[0089] In practical implementation, if the vehicle operation mode is driving mode, when the SOC cloud is greater than the SOC lower limit, then k = (SOC vehicle - SOC lower limit) / (SOC cloud - SOC lower limit). When the SOC cloud is less than or equal to the SOC lower limit, the current vehicle-side SOC is corrected to the SOC lower limit within time T2, with a correction rate k2 = (SOC vehicle - SOC lower limit) / T2, where T2 is the correction period when the SOC cloud is less than or equal to the SOC lower limit. When the current correction period is completed, SOC(n+1) = SOC(n) - k2 * T. If the vehicle is in charging mode, when the SOC cloud is less than the SOC upper limit, then k = (SOC upper limit - SOC vehicle) / (SOC upper limit - SOC cloud). When the SOC cloud is greater than or equal to the SOC upper limit, the current vehicle-side SOC is corrected to the SOC upper limit within time T2, and the correction rate is k2 = (SOC upper limit - SOC vehicle) / T2. Then SOC(n+1) = SOC(n) + k2 * T.

[0090] Based on the first or second embodiment described above, a third embodiment of the battery SOC correction method of this application is proposed.

[0091] Reference Figure 5 , Figure 5 This is a flowchart illustrating the third embodiment of the battery SOC correction method of this application.

[0092] In this embodiment, the correction information further includes: battery model parameters; after step S20, it also includes:

[0093] Step S201: Upon receiving the correction instruction, detect the correction method of the current vehicle-side SOC.

[0094] It should be understood that the process of correcting the current vehicle-side SOC is not limited to ampere-hour integration; other methods can also be used, but the correction process differs depending on the method. Therefore, when it is determined that the current vehicle-side SOC needs to be corrected, the correction method can also be detected. Specifically, this can be done based on the correction method returned by the battery management system after receiving the correction command from the cloud. Battery model parameters can include battery ohmic internal resistance, battery polarization internal resistance, and battery polarization capacitance, etc.

[0095] Step S202: When the correction method is the model correction method, the battery model is corrected using the battery model parameters.

[0096] It is understandable that the model correction method involves adjusting the current vehicle-side SOC using a model stored within the battery management system. This battery model can be a first-order RC model. When the correction method is determined to be model correction, the model parameters within the battery management system can be adjusted using more accurate battery model parameters output from the cloud, thereby obtaining a corrected battery model. If the current vehicle-side SOC appears artificially high or low during vehicle operation, the cloud-based battery model, having undergone extensive training, possesses more accurate battery model parameters. Therefore, using these cloud-based battery model parameters to correct the vehicle-side battery model parameters, and then utilizing the corrected battery model, can effectively improve the accuracy of SOC calculation.

[0097] Given the extremely complex characteristics of lithium batteries, it is difficult to conduct full lifecycle characteristic testing, modeling, and calibration within a limited development cycle. As battery lifespan degrades, the inability to modify battery model parameters leads to decreased accuracy in subsequent SOC calculations. Therefore, after the battery model is corrected, the battery model parameters fed back from the cloud can be used as the vehicle's battery model parameters and stored for further correction of the battery model.

[0098] Step S203: Determine the target vehicle-side SOC based on the modified battery model.

[0099] It should be understood that, given the corrected battery model, the target vehicle SOC can be directly determined based on the corrected battery model and the actual vehicle parameters, thereby correcting the current vehicle battery SOC to the target vehicle SOC and achieving the correction of the current vehicle SOC.

[0100] A fourth embodiment of the battery SOC correction method of this application is proposed based on any one of the first to third embodiments described above.

[0101] Reference Figure 6 , Figure 6 This is a flowchart illustrating the fourth embodiment of the battery SOC correction method of this application.

[0102] Battery SOC management typically includes SOC estimation and SOC correction. The ampere-hour integration method is commonly used to estimate battery SOC. When there is a deviation in battery SOC, methods such as the open-circuit voltage method and Kalman filtering can be used to correct it. However, each method has its limitations, leading to inaccuracies in SOC estimation and correction. For example, the open-circuit voltage method is often dependent on the specific battery type; lithium iron phosphate cells have a voltage plateau region, making real-time SOC correction impossible across the entire range.

[0103] The ampere-hour integration method requires knowledge of the SOC and SOH of the power battery. The SOC and SOH parameters of the power battery are usually stored inside the vehicle. If the data stored inside the vehicle is lost or changed, the current SOC and SOH of the power battery cannot be accurately obtained when the vehicle is powered on, which will make the subsequent ampere-hour integration calculation inaccurate, resulting in a large error in SOC estimation or even the inability to estimate the battery SOC.

[0104] In this embodiment, the battery SOC correction method further includes:

[0105] Step S40: Detect battery storage data in the vehicle.

[0106] It should be noted that battery storage data refers to data stored inside the vehicle that reflects the state of the power battery. This battery storage data may include the battery's SOC, SOH, etc. Whether this battery storage data is normal directly affects whether the battery's state can be determined or adjusted using the aforementioned parameters.

[0107] It is understandable that the SOC estimation using the ampere-hour integration method requires the SOC in the battery storage data as an initial value, and the SOH value also needs to be considered during the charging or discharging process of the power battery. Therefore, in the case of abnormal battery storage data, it may be impossible to accurately estimate the SOC of the power battery.

[0108] In practice, the battery storage data in the vehicle can be extracted. If the data cannot be extracted normally, the battery storage data can be considered abnormal. If the data can be extracted normally, the battery storage data needs to be verified to confirm whether there is any data loss, data error or other abnormality. If the battery storage data verification fails, the battery storage data can be considered abnormal. If the verification passes, the battery storage data is considered normal.

[0109] Step S50: When an abnormality is detected in the battery storage data, a flag request is sent to the cloud. The flag request is used to control the cloud to provide cloud storage data. The cloud storage data includes the initial cloud SOC.

[0110] It's important to note that when battery storage data is abnormal, there are no parameters within the vehicle that can be used as the basis for ampere-hour integration, making accurate SOC estimation impossible. The cloud refers to a server located in cloud space, which can interact with the battery management system. The cloud has a data processing model that can determine the SOC and SOH parameters of the vehicle's power battery in real time during operation. This cloud-based data processing model can be a neural network-based battery SOC estimation model. By training the model using a large amount of vehicle operation data from the backend, the resulting battery SOC estimation model can determine the power battery's SOC during operation. Specifically, the battery SOC estimation model obtains the necessary related data for model building and training through backend services or data collection. Abnormal data within the management data, such as null or erroneous data, is then removed. Feature factors are extracted from the related data, and these features are used to build a neural network-based battery SOC estimation model. These feature factors can include the power battery's current, voltage, temperature, vehicle status, etc. After the neural network-based battery SOC estimation model is built, it is necessary to train the model using a large amount of associated data to obtain a battery SOC estimation model that meets the accuracy requirements. The trained battery SOC estimation model can accurately estimate parameters such as the SOC of the power battery based on data from the vehicle during operation.

[0111] It's understandable that a flag request is a signal that requests the cloud to output relevant parameters of the power battery. When the battery's stored data is abnormal, a flag request can be sent to the cloud, at which point the cloud can interpret the flag request as 1. Conversely, when the battery's stored data is normal, there's no need to send a flag request, and the cloud can interpret the flag request as 0. Cloud-stored data refers to the parameters currently displayed by the power battery, which may include battery SOC, SOH, etc.

[0112] In practice, if the battery storage data is confirmed to be abnormal, a flag request can be sent to the cloud. When the cloud receives the flag request or detects that the flag request is 1, it can determine that the battery storage data is abnormal and return the cloud storage data.

[0113] Step S60: Upon receiving the cloud-stored data, the initial cloud SOC within the cloud-stored data is used as the initial corrected SOC to correct the SOC of the power battery.

[0114] It should be noted that the initial corrected SOC is the initial value used to estimate the SOC of the power battery. For example, if the initial corrected SOC is 50% as displayed on the vehicle, but the actual SOC of the power battery is only 40%, then the initial corrected SOC needs to be adjusted from 50% to 40% to correct the SOC of the power battery.

[0115] It should be understood that upon receiving data stored in the cloud, the SOC and SOH from that cloud-stored data can be directly identified as the currently stored SOC and SOH; then, this SOC can be used to correct the battery SOC in the current state. However, considering the prediction of the battery SOC within the vehicle, in the absence of SOH data, the SOH data will be assumed to be 100%, leading to inaccurate battery SOC estimation and correction. Therefore, the SOH from the cloud-stored data can also be identified as the SOH in the battery's stored data, and this currently stored SOH can be used in conjunction with subsequent battery SOC evaluations.

[0116] In practical implementation, after the vehicle is powered back on, an initial SOC value needs to be calculated first, which serves as the initial corrected SOC in the subsequent ampere-hour integral calculation formula. The ampere-hour integral method estimates the SOC by integrating current and time, and the calculation formula requires an initial corrected SOC. Therefore, this embodiment can directly use the received initial cloud SOC as the initial corrected SOC, and then correct the SOC of the power battery based on this initial corrected SOC. For example, using this initial cloud SOC as input, the initial SOC of the battery can be directly corrected and used as the initial SOC in the ampere-hour integral calculation.

[0117] Furthermore, when the battery storage data is normal, the initial vehicle-side SOC can be extracted, and then the initial vehicle-side SOC can be used as the initial corrected SOC to correct the SOC of the power battery.

[0118] To further ensure the accuracy of the initial corrected SOC, this embodiment can also utilize a relationship table between open-circuit voltage and SOC. By collecting the open-circuit voltage, a lookup table SOC is obtained using the relationship table and the open-circuit voltage. The initial corrected SOC is selected by using the initial vehicle-side SOC stored at the vehicle end and the lookup table SOC obtained from the open-circuit voltage lookup. The open-circuit voltage is an accurate voltage-SOC relationship based on the characteristics of the battery cell itself, and using the lookup table SOC as the initial corrected SOC is considered relatively accurate. The cloud-based initial SOC estimation model can also utilize the relationship between open-circuit voltage and battery SOC, thus combining the advantages of both vehicle-side and cloud-based SOC algorithms, achieving accuracy.

[0119] This embodiment provides a battery SOC correction method, which includes: detecting battery storage data in the vehicle; when an anomaly is detected in the battery storage data, sending a flag request to the cloud, the flag request being used to control the cloud to feed back cloud storage data; the cloud storage data including an initial cloud SOC; and upon receiving the cloud storage data, using the initial cloud SOC in the cloud storage data as an initial correction SOC to correct the SOC of the power battery. When an anomaly in the battery storage data is confirmed, the cloud storage data can be obtained from the cloud, and then the initial cloud SOC in the cloud storage data can be used as an initial correction SOC to correct the SOC of the power battery, thus enabling effective correction of the power battery's SOC even in the event of data loss.

[0120] In addition, to achieve the above objectives, the present invention also provides a storage medium storing a battery SOC correction program, which, when executed by a processor, implements the steps of the battery SOC correction method.

[0121] In addition, to achieve the above objectives, the present invention also provides a battery SOC correction system, which includes a cloud and a battery management system, wherein the battery management system is used to execute the battery SOC correction method described in any of the above embodiments.

[0122] In addition, to achieve the above objectives, the present invention also provides a vehicle including the battery SOC correction system.

[0123] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for correcting battery SOC, characterized in that, Applications in battery management systems; The battery SOC correction method includes: Obtain the current vehicle-side SOC of the power battery; The current vehicle-side SOC is sent to the cloud. The cloud is used to provide correction information and correction instructions when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference. The correction information includes the current cloud-side SOC. Upon receiving the correction instruction, the current vehicle-side SOC is corrected based on the current cloud-based SOC; The step of correcting the current vehicle-side SOC based on the current cloud-based SOC upon receiving the correction instruction includes: The current current of the power battery and the duration of the current current are detected. When the current current is not greater than a preset current threshold and the duration reaches a preset duration, the current vehicle-side SOC is adjusted to the current cloud-side SOC; After detecting the current current of the power battery and the duration of the current current, the method further includes: When the current current is greater than a preset current threshold or the duration is less than the preset duration, the vehicle operating mode and whether the current cloud SOC are within the SOC limit range are detected. When the current cloud SOC is within the SOC limit range, a battery SOC correction coefficient is determined based on the vehicle operating mode, the current cloud SOC, and the current vehicle-side SOC. The current vehicle-side SOC is corrected based on the battery SOC correction factor and the current current.

2. The battery SOC correction method as described in claim 1, characterized in that, The step of correcting the current vehicle-side SOC based on the battery SOC correction factor and the current current includes: Determine the current direction and current value of the current; The battery SOC correction factor, the current value, and the current direction determine the corrected SOC within the correction period; The current vehicle-side SOC is corrected according to the corrected SOC during the correction period.

3. The battery SOC correction method as described in claim 1, characterized in that, After detecting the vehicle operating mode and whether the current cloud-based SOC is within the SOC limitation range, the following is included: When the current cloud SOC is not within the SOC limit range, the corrected SOC within the correction period is determined based on the vehicle operating mode and the current vehicle-side SOC; The current vehicle-side SOC is corrected according to the corrected SOC during the correction period.

4. The battery SOC correction method as described in claim 1, characterized in that, The correction information further includes: battery model parameters; after sending the current vehicle-side SOC to the cloud, whereby the cloud, when the difference between the current vehicle-side SOC and its corresponding current cloud-side SOC reaches a preset difference, feeds back correction information and correction instructions, the system further includes: Upon receiving the correction instruction, the correction method for the current vehicle-side SOC is detected; When the correction method is the model correction method, the battery model is corrected using the battery model parameters; The target vehicle-side SOC is determined based on the revised battery model.

5. The battery SOC correction method as described in claim 1, characterized in that, The battery SOC correction method also includes: Detect battery storage data within the vehicle; When an anomaly is detected in the battery storage data, a flag request is sent to the cloud. The flag request is used to control the cloud to provide cloud storage data. The cloud storage data includes the initial cloud SOC. Upon receiving the cloud-stored data, the initial cloud-stored SOC within the cloud-stored data is used as the initial corrected SOC to correct the SOC of the power battery.

6. A storage medium, characterized in that, The storage medium stores a battery SOC correction program, which, when executed by a processor, implements the steps of the battery SOC correction method as described in any one of claims 1 to 5.

7. A battery SOC correction system, characterized in that, The battery SOC correction system includes a cloud platform and a battery management system, wherein the battery management system is used to execute the battery SOC correction method according to any one of claims 1 to 5.

8. A vehicle, characterized in that, The vehicle includes the battery SOC correction system of claim 7.

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