New energy power battery protection method and system

Abstract

The invention relates to the technical field of new energy battery protection, in particular to a new energy power battery protection method and system, and the method comprises the steps: obtaining a plurality of parameters related to the operation of a battery through a battery protection system, and determining first weights corresponding to the plurality of parameters; acquiring actual operation data corresponding to the plurality of parameters through a data acquisition module, and comparing the actual operation data with standard data of a database to acquire second weights corresponding to the plurality of parameters; according to the method, priority ranking is carried out according to the size of the second weight, the battery protection system executes the protection strategy according to the priority ranking, and the protection system can accurately position the battery unit needing to be protected by judging the weight factors influencing the battery performance, so that unnecessary maintenance on the whole battery pack is avoided, and the battery protection efficiency is improved. By means of the targeted maintenance mode, the maintenance efficiency is improved, and the maintenance time and cost are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy battery protection, and in particular to a new energy power battery protection method and system. Background Art

[0002] As an important part of the modern energy system, new energy batteries are widely used in electric vehicles, energy storage power stations and various renewable energy power generation systems. However, in the field of battery protection, a significant challenge is that the existing protection strategies are often not targeted and cannot accurately identify the most important factors affecting battery performance. Specifically, when one or some battery cells in the battery pack experience performance degradation or failure, the existing maintenance method is usually to disassemble, inspect and repair the entire battery pack.

[0003] A lot of time and resources are spent on dealing with battery cells that don’t actually have problems or have problems that are so minor that they can be ignored, resulting in inefficiency and high costs, including material replacement, labor costs, and indirect economic losses due to downtime. More importantly, this non-targeted protection strategy may ignore the real cause of battery performance degradation, such as internal battery short circuits, electrolyte imbalance, or active material shedding, and thus cannot fundamentally solve the problem of battery performance degradation. Therefore, the industry urgently needs a new technology that can accurately protect the most important factors affecting battery performance, so as to improve maintenance efficiency, reduce costs, and extend the service life of the battery. Summary of the invention

[0004] To solve the above problems, the present invention provides a new energy power battery protection method and system. By judging the weight factors affecting battery performance, the system can accurately locate the battery cells that need to be protected, thereby avoiding unnecessary maintenance of the entire battery pack. This targeted maintenance method improves maintenance efficiency and reduces maintenance time and cost.

[0005] To achieve the above object, the technical solution adopted by the present invention is:

[0006] A new energy power battery protection method, comprising:

[0007] Acquire multiple parameters involved in battery operation through the battery protection system, and determine first weights corresponding to the multiple parameters;

[0008] Acquire actual operation data corresponding to the plurality of parameters through a data acquisition module, compare the actual operation data with standard data in a database, and acquire second weights corresponding to the plurality of parameters;

[0009] Priority sorting is performed according to the size of the second weight, and the battery protection system executes a protection strategy according to the priority sorting.

[0010] By determining the factors that affect battery performance and assigning different first weights to all factors, and adjusting the first weight according to real-time operating data and standard data to obtain the second weight, the protection system can accurately locate the place that needs protection, thereby avoiding unnecessary protection of the entire battery pack. This targeted maintenance method greatly improves maintenance efficiency and reduces maintenance time and cost.

[0011] Preferably, comparing the actual operation data with standard data in a database to obtain corresponding second weights of the multiple parameters comprises:

[0012] Perform difference processing on the actual operation data of multiple parameters and the standard data in the database to obtain the offsets of multiple parameters;

[0013] The offset is divided by the standard data in the database to obtain the offset rate;

[0014] Multiplying the deviation rate by the risk coefficient of the corresponding parameter to obtain a product result;

[0015] The product result is added to the first weight to obtain second weights corresponding to the multiple parameters.

[0016] Preferably, the deviation rate includes a first threshold and a second threshold, and the risk coefficient = the frequency of failure of the parameter × the proportion of the loss caused by the failure of the parameter to the total loss.

[0017] The introduction of risk factors helps operators to reasonably allocate protection resources according to the risk level. For parameters with higher risks, more maintenance resources and energy can be invested, while for parameters with lower risks, the investment in maintenance resources can be appropriately reduced.

[0018] Preferably, after adding the product result to the first weight to obtain the adjusted second weights corresponding to the plurality of parameters, the method further comprises:

[0019] When the second weight is less than or equal to a first threshold, the protection system executes a first protection strategy;

[0020] When the second weight is greater than the first threshold and less than the second threshold, the protection system executes a second protection strategy;

[0021] When the second weight is greater than or equal to a second threshold, the protection system executes a third protection strategy.

[0022] The second weight is obtained by adjusting the first weight corresponding to the parameter in real time according to the actual operating data of the parameter. Different protection strategies are adopted according to the offset rates of different parameters to perform distributed management and protection of various factors affecting battery operation. This improves the flexibility of the protection system, and the protection system can give priority to protection or replacement.

[0023] Preferably, before obtaining multiple parameters involved in battery operation and determining first weights corresponding to the multiple parameters, the method further includes:

[0024] Collect multiple parameters involved in battery operation, confirm standard data corresponding to the multiple parameters in different situations, and input the standard data into a database.

[0025] By comparing standard working data with actual operating data, abnormal conditions of the battery can be discovered in a timely manner. These data can be used to diagnose and analyze battery failures, find out the cause and location of the failure, provide a scientific basis for protecting the battery, and improve the accuracy of battery performance evaluation.

[0026] Preferably, the method further comprises preprocessing the data after obtaining the corresponding actual operation data of the multiple parameters through a data acquisition module and confirming the corresponding offsets of the multiple parameters according to the actual operation data;

[0027] The preprocessing includes data cleaning, data integration and data conversion.

[0028] Data cleaning can effectively remove noise, missing values, outliers, etc. in the data to make the data more accurate. Data integration unifies data from different sources into one system, improves data consistency and accuracy, and reduces data redundancy and conflicts. The data conversion process converts data in different formats into a unified format for subsequent processing and analysis.

[0029] A new energy power battery protection system, comprising:

[0030] A data acquisition module, which is used to obtain actual operating data of the battery during operation;

[0031] A charge and discharge management module, which is used to obtain the remaining battery capacity and the actual charge and discharge power, and adjust the charge and discharge power according to the remaining battery capacity;

[0032] A cleaning module, which is used to clean and maintain the battery;

[0033] A fault diagnosis module is used to determine whether the battery is in an abnormal state.

[0034] Preferably, the data acquisition module includes a sensor module, the charge and discharge management module includes a charge and discharge tester, the cleaning module includes a cleaning component, and the fault diagnosis module includes a clock unit.

[0035] The data acquisition module can collect key parameters of the battery such as voltage, current, temperature, etc. in real time to help the system understand the working status of the battery in a timely manner. The charge and discharge management module can dynamically adjust the charge and discharge rate of the battery to ensure that the battery works in the best condition and extend the battery life. The cleaning module can regularly clean the battery and its surrounding environment. The fault diagnosis module can monitor various parameters of the battery in real time. Once an abnormality is found, an alarm will be issued immediately to help maintenance personnel find the fault in time.

[0036] The beneficial effects of the present invention are:

[0037] By judging the factors that affect battery performance and assigning different first weights to all factors, the second weight is obtained by adjusting the first weight according to real-time operation data and standard data. Distributed management and protection of various factors affecting battery operation are performed, and the protection system can accurately locate the places that need protection, thereby avoiding unnecessary protection of the entire battery pack. This targeted maintenance method greatly improves maintenance efficiency and reduces maintenance time and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a new energy power battery protection method in a specific embodiment of the present invention;

[0039] Figure 2 To obtain a second weight flow chart in a specific embodiment of the present invention;

[0040] Figure 3 It is a flowchart of the protection strategy executed by the protection system in a specific embodiment of the present invention;

[0041] Figure 4 It is a block diagram of the protection system architecture in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] Example 1

[0044] See also Figure 1As shown, the present invention relates to a new energy power battery protection method. The operator can enter the standard operating data of various battery parameters under different environments according to the application scenarios, wherein the parameters affecting the battery operation include voltage, current, temperature, battery capacity, charge and discharge efficiency, battery cleanliness, etc.

[0045] The operator assigns values ​​to factors that affect the operation of the battery according to the battery usage scenario, obtains the first weights corresponding to different factors, and imports the pre-recorded data into the database of the protection system.

[0046] The data acquisition module in the protection system is used to obtain various data of the battery during operation in real time, and the actual operation data of multiple parameters are subtracted from the standard data in the database to obtain the offsets of the multiple parameters. The offsets are divided from the standard data in the database to obtain the offset rate. In this embodiment, the values ​​of the offset and the offset rate can be positive or negative.

[0047] The deviation rate is multiplied by the risk coefficient of the corresponding parameter to obtain a product result, and the product result is added to the first weight to obtain second weights corresponding to the multiple parameters.

[0048] The specific risk factor = the frequency of failure of the parameter × the proportion of the loss caused by the failure of the parameter to the total loss.

[0049] Furthermore, the present application adjusts the weights of various factors in a timely manner based on the actual operating conditions of the battery, rather than keeping the weights unchanged, thereby ensuring that the battery protection system can be accurately located where protection is needed, thereby avoiding unnecessary protection of the entire battery pack. This targeted maintenance method greatly improves maintenance efficiency and reduces maintenance time and costs.

[0050] In this embodiment, the offset rate includes a first threshold and a second threshold, wherein the first threshold represents that the battery is operating at a power lower than the actual power, and the second threshold represents that the battery is in a normal working range.

[0051] In this embodiment, taking the battery capacity parameter as an example, the battery SOC is monitored in real time through the charge and discharge management module. The SOC represents the percentage of the remaining battery power to the rated capacity of the battery. The first threshold of the SOC is 10%-20%, and the second threshold is 20%-85%.

[0052] When the SOC threshold is at a first threshold, charging should be carried out in time. When the SOC threshold is greater than a second threshold, discharging should be carried out in time to adjust the charging and discharging power.

[0053] Furthermore, taking the charge and discharge power as an example, when the charge and discharge power reaches the first threshold, the discharge current is controlled by the charge and discharge management module to avoid the battery from discharging too quickly or over-discharging, which also helps to reduce battery loss and extend battery life, ensure that the discharge voltage is within an appropriate range, and prevent excessive or low discharge voltage from damaging the battery.

[0054] Furthermore, when the charge and discharge power reaches the second threshold, the charge and discharge management module controls the size of the charge current to avoid overcharging or overcharging the battery, thereby reducing battery loss and extending battery life. The charge voltage is controlled within a suitable range to prevent excessively high or low charge voltages from damaging the battery. When the battery reaches the set SOC, charging is stopped to avoid overcharging.

[0055] Furthermore, factors affecting the charging and discharging power may also include battery temperature. The temperature changes of the battery are obtained in real time through the sensor module of the protection system. In order to reduce the impact of temperature on charging and discharging, temperature compensation is introduced in this embodiment. In order to compensate for the impact of temperature, a temperature compensation control strategy can be introduced during the charging process. By monitoring the temperature of the battery and adjusting the charging parameters in real time during charging control, the charging power can adapt to the battery characteristics under different temperature conditions.

[0056] Furthermore, the charge and discharge management module of the present application includes a clock unit. In this embodiment, the maximum charging time and the normal charging time are set, wherein:

[0057] Maximum charging time (hours) = (target battery capacity (mAh) / charging current (mA)) × 1.5;

[0058] Normal charging time (hours) = target battery capacity (mAh) / charging current (mA);

[0059] 1.5 is an empirical coefficient. In some other embodiments, the value of the empirical coefficient may include any numerical value.

[0060] Specifically, a standard charging current i is preset. When the target battery capacity C is between a first threshold value and a second threshold value, the charging current is the standard charging current i. When the target battery capacity C is less than the first threshold value, the charging current is 1.5i. When the target battery capacity C is greater than the second threshold value, the charging current is 0.5i.

[0061] The battery charge and discharge time is monitored by the clock unit. If the battery capacity cannot reach the preset value within the longest charging time, the fault diagnosis module can conclude that the battery is faulty.

[0062] Furthermore, when the battery capacity is at different thresholds, the maximum charging time and the normal charging time may also be different, and the operator may set different maximum charging times and normal charging times according to different thresholds.

[0063] In some other embodiments, each parameter includes a corresponding first threshold and a second threshold. By setting different thresholds, the fault diagnosis module derives the battery operating status according to different thresholds, analyzes the cause of the fault, and the battery protection system adopts different protection strategies according to the thresholds of different parameters.

[0064] Furthermore, the threshold of the battery parameter can also set an alarm threshold. When the actual operating data of the parameter is greater than the alarm threshold, it can be assumed that the battery has a serious fault, and the protection system will send an alarm signal to remind the staff.

[0065] Example 2

[0066] In this embodiment, taking valve-sealed lead-acid batteries and open tubular lead-acid batteries as examples, the operator can enter standard operating data of various battery parameters under different environments according to the application scenarios, among which the parameters affecting the operation of the valve-sealed lead-acid batteries include electrolyte concentration.

[0067] The electrolyte concentration can be obtained through the data acquisition module, and specifically through the hydrometer. The first threshold value of the electrolyte concentration of the valve-sealed lead-acid battery is 1.30 g / cm 3 , the second threshold is 1.34g / cm 3 The first threshold concentration of electrolyte in open-top tubular lead-acid batteries is 1.28 g / cm 3 The second threshold concentration is 1.34 g / cm 3 .

[0068] Furthermore, when the electrolyte concentration is a first threshold, a proper amount of concentrated sulfuric acid is added; when the electrolyte concentration is greater than a second threshold, pure water is added and the electrolyte is gently stirred to fully mix the pure water with the electrolyte.

[0069] Furthermore, the battery capacity of the lead-acid battery is: Where C represents the standard capacity of the battery (unit: Ah), I represents the standard discharge current (unit: A), and t represents the standard discharge time (unit: h).

[0070] In this embodiment, different thresholds are set for the battery capacity C, and different current i are set according to different battery capacities C.

[0071] Specifically, in this embodiment, the first threshold value of the battery capacity C is 60Ah, and the second threshold value is 100Ah. When the battery capacity is at the first threshold value, the charge and discharge management module controls the discharge current to be 0.5i times. When the battery capacity is between 60Ah and 100Ah, the discharge current is the standard discharge current i. When the battery capacity is greater than 100Ah, the discharge current is 1.5i.

[0072] Furthermore, the first threshold temperature of the lead-acid battery is 20°, and the second threshold temperature is 30°. The battery temperature is monitored in real time by the data acquisition module. When the battery temperature is less than or greater than the threshold temperature, the temperature compensation function can be used to adjust the float charge voltage. Taking 25°C as the benchmark, the adjustment is performed at (2V)-3mV / °C per cell, and negative compensation is adopted, that is, the float charge voltage is reduced when the battery temperature is high, and the voltage is increased when the temperature is low.

[0073] Preferably, the lower alarm temperature is set to -10° and the upper alarm temperature is set to 45°. When the data acquisition module detects that the temperature exceeds the alarm temperature, an alarm signal is issued and the fault diagnosis module determines that the battery is abnormal.

[0074] Example 3

[0075] Preferably, the offset rate described in Example 1 can also be set with an alarm offset rate. By setting a reasonable alarm threshold, an alarm can be issued in time when the battery parameters are abnormal, thereby preventing the occurrence of faults. This helps to avoid potential safety risks and ensure the stable operation of the equipment and system, which helps to improve the overall efficiency of the protection system and reduce energy consumption and costs.

[0076] Furthermore, in order to reduce costs, an alarm offset can also be set for the offset. When the offset is too large, the parameters do not need to be compared with the standard data in the database, and a warning signal is automatically issued through the alarm module to notify the operator.

[0077] Furthermore, the battery protection system is also provided with a cleaning component, which can remove impurities and pollutants that may cause short circuits, such as metal debris, dust, etc. The removal of these substances helps reduce the risk of battery short circuits, thereby improving battery safety.

[0078] The above implementation modes are merely descriptions of the preferred implementation modes of the present invention, and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary engineering and technical personnel in the field shall fall within the protection scope determined by the claims of the present invention.

Claims

1. A new energy power battery protection method, characterized in that: include: Acquire multiple parameters involved in battery operation through the battery protection system, and determine first weights corresponding to the multiple parameters; Acquire actual operation data corresponding to the plurality of parameters through a data acquisition module, compare the actual operation data with standard data in a database, and acquire second weights corresponding to the plurality of parameters; Priority sorting is performed according to the size of the second weight, and the battery protection system executes a protection strategy according to the priority sorting.

2. The new energy power battery protection method according to claim 1, characterized in that: The comparing the actual operation data with the standard data in the database to obtain the corresponding second weights of the multiple parameters includes: Perform difference processing on the actual operation data of multiple parameters and the standard data in the database to obtain the offsets of multiple parameters; The offset is divided by the standard data in the database to obtain the offset rate; Multiplying the deviation rate by the risk coefficient of the corresponding parameter to obtain a product result; The product result is added to the first weight to obtain second weights corresponding to the multiple parameters.

3. The new energy power battery protection method according to claim 2, characterized in that: The deviation rate includes a first threshold and a second threshold, and the risk coefficient=frequency of failure of the parameter×proportion of the loss caused by the failure of the parameter to the total loss.

4. The new energy power battery protection method according to claim 3, characterized in that: The priority ranking is performed according to the size of the second weight, and the battery protection system executes the protection strategy according to the priority ranking, including: When the deviation rate is less than or equal to a first threshold, the protection system executes a first protection strategy; When the offset rate is greater than a first threshold and less than a second threshold, the protection system executes a second protection strategy; When the deviation rate is greater than or equal to the second threshold, the protection system executes a third protection strategy.

5. The new energy power battery protection method according to claim 1, characterized in that: Before acquiring multiple parameters involved in the operation of the battery and determining first weights corresponding to the multiple parameters, the method further includes: Collect multiple parameters involved in battery operation, confirm standard data corresponding to the multiple parameters in different situations, and input the standard data into a database.

6. The new energy power battery protection method according to claim 1, characterized in that: After obtaining the actual operation data corresponding to the plurality of parameters through the data acquisition module, the method further includes preprocessing the data: The preprocessing includes data cleaning, data integration and data conversion.

7. A new energy power battery protection system, characterized in that: include: A data acquisition module, which is used to obtain actual operating data of the battery during operation; A charge and discharge management module, which is used to obtain the remaining battery capacity and the actual charge and discharge power, and adjust the charge and discharge power according to the remaining battery capacity; A cleaning module, which is used to clean and maintain the battery; A fault diagnosis module is used to determine whether the battery is in an abnormal state.

8. The new energy power battery protection system according to claim 7, characterized in that: The data acquisition module includes a sensor module, the charge and discharge management module includes a charge and discharge tester, the cleaning module includes a cleaning component, and the fault diagnosis includes a clock unit.

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