Battery swap station operation and maintenance management system and method based on multi-source data

Abstract

The application discloses a battery replacement station operation and maintenance management system and method based on multi-source data, relates to the technical field of intelligent optimization of replacement strategies, and comprises the following steps: setting an environment influence analysis mechanism to preliminarily judge the influence degree of the environment on the internal resistance of the battery in the battery replacement station; setting a battery internal resistance influence adjustment mechanism to correct the battery internal resistance or adjust the influence weight of the battery internal resistance; setting an idle influence analysis mechanism to finely adjust the influence weight of the idle duration; and setting a battery quality evaluation mechanism to analyze the battery quality evaluation value and grade the battery for scheduling. The application improves the accuracy of battery quality evaluation, solves the problems of poor adaptability and large deviation of the existing evaluation method, clearly defines the use range of different health state batteries through battery grading, avoids the problems of idle high-quality batteries and excessive use of medium and low-quality batteries, and improves the maintenance and repair operation and management efficiency of the battery replacement station.

Description

Technical Field

[0001] This invention relates to the field of intelligent optimization technology for battery swapping strategies, specifically a battery swapping station operation and maintenance management system and method based on multi-source data. Background Technology

[0002] With the popularization of new energy vehicles, community battery swapping stations, as the charging equipment closest to users, are gradually becoming an important carrier for charging new energy vehicles. Community battery swapping stations are characterized by concentrated users, a high correlation between swapping demand and residents' commuting hours, long battery idle times, and complex community environments, such as large temperature differences between day and night, high humidity and dust levels, and local environmental differences caused by building obstructions. These characteristics place higher demands on the maintenance, repair, operation, and management of battery swapping stations, especially the rationality of battery scheduling. Current battery scheduling mostly adopts a unified scheduling model, without scientifically classifying batteries or accurately matching them with different users' swapping cycles, resulting in serious waste of battery resources. Currently, the battery operation and maintenance management of community battery swapping stations largely follows the technical solutions of general battery swapping stations, showing significant shortcomings in scenario-specific adaptation. The core flaws of the current battery quality assessment are as follows: The existing battery quality assessment uses general industry standards but fails to fully consider the unique characteristics of the community environment, such as large day-night temperature differences, high humidity levels, battery resting time (many batteries in communities are often left idle for extended periods), and the degree of wear and tear under different usage conditions (some batteries are used frequently, while others are idle for long periods). This leads to significant deviations in the assessment results, failing to accurately reflect the actual health status of the batteries. Consequently, the battery grading and allocation results are inaccurate, resulting in high-quality batteries being wasted by low-frequency users and medium-to-low-quality batteries being overused by high-frequency users. This leads to low overall efficiency in the maintenance, repair, operation, and management of battery swapping stations, accelerating the overall battery lifespan degradation, increasing battery replacement costs, and causing a serious waste of battery resources. Summary of the Invention

[0003] The purpose of this invention is to provide a battery swapping station operation and maintenance management system and method based on multi-source data to solve the problems raised in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a battery swapping station operation and maintenance management method based on multi-source data, the method comprising: An environmental impact analysis mechanism is set up to analyze the environmental impact coefficient based on environmental change data, and to preliminarily determine the degree of environmental impact on the internal resistance of batteries in the battery swapping station based on the environmental impact coefficient. A battery internal resistance impact adjustment mechanism is set up to analyze the impact of the community environment on battery internal resistance changes by combining the environmental impact coefficient and the idle time of batteries in the battery swapping station. The internal resistance data of the battery is corrected or the weight of the battery internal resistance impact is adjusted according to the environmental impact type. An idle impact analysis mechanism is set up to couple the idle time of the battery with the environmental impact coefficient to obtain the idle impact coefficient, and to fine-tune the impact weight of the idle time using the idle impact coefficient; A battery quality assessment mechanism is set up to analyze battery quality assessment values ​​based on the capacity and electrical characteristics data of batteries in the battery swapping station, classify the batteries in the battery swapping station, and allocate batteries to users with different swapping frequencies according to the class.

[0005] Furthermore, the aforementioned environmental impact analysis mechanism is used to jointly analyze the community environmental impact coefficient based on the collected diurnal temperature range, average relative humidity, and dust concentration. Based on the community environmental impact coefficient obtained from the analysis, the degree of influence of the community environment on the battery internal resistance is preliminarily determined.

[0006] Furthermore, considering the characteristics of the community environment, including diurnal temperature variations, humidity, and dust, short-term temperature and humidity fluctuations can cause a temporary decrease in the ion transport rate within the battery, resulting in a brief increase in internal resistance. Temporary excessive dust concentration can lead to poor contact of the battery tabs, manifesting as a temporary increase in internal resistance. Long-term excessive diurnal temperature variations can accelerate electrolyte aging, irreversibly reducing ion transport capacity and gradually increasing internal resistance. Prolonged high humidity can cause corrosion of the battery's positive and negative electrodes, decreased sealing performance, permanent increase in internal losses, and a continuous increase in internal resistance. Long-term excessively high dust concentrations can cause dust to enter and accumulate at the battery interface, leading to tab oxidation, a permanent increase in contact resistance, and ultimately, an increase in overall internal resistance. A community environmental impact analysis mechanism is established to obtain environmental impact coefficients based on changes in the community environment. Temperature sensors are used to collect the diurnal temperature difference ∆T within the community, humidity sensors are used to collect the average relative humidity S within the community, and airborne dust concentration C is collected. The community environmental impact coefficient is calculated using the following formula: ; Where ρ represents the community environmental impact coefficient; ∆T0 is the critical temperature difference affecting the battery internal resistance; S0 is the critical relative humidity affecting the battery internal resistance; and C0 is the critical dust concentration affecting the battery internal resistance. A threshold value ρ1 for the community environmental impact coefficient was set. The obtained community environmental impact coefficient was compared with the value 1 and the critical value ρ1. The analysis results are as follows: If ρ=1, it means that the environment has no effect on the internal resistance of the battery in the battery swapping station, and no environmental impact correction is applied to the collected battery internal resistance. If 1 < ρ ≤ ρ1, it indicates that the community environment impact coefficient is low, and it is preliminarily judged that the environmental changes have a slight impact on the internal resistance of the batteries in the battery swapping station. If ρ>ρ1, it indicates that the community environment impact coefficient is too high, and it is preliminarily judged that environmental changes have a severe impact on the internal resistance of batteries in the battery swapping station.

[0007] Furthermore, the battery internal resistance influence adjustment mechanism is used to comprehensively analyze the obtained community environment influence coefficient and the idle time of the battery in the battery swapping station, so as to judge the type of influence of the community environment on the battery internal resistance. The types of influence include temporary influence and permanent damage influence. If the community environment has a temporary influence on the battery internal resistance, the collected battery internal resistance is corrected to remove the environmental influence. If the community environment has a permanent damage influence on the battery internal resistance, the influence weight of the battery internal resistance is adjusted.

[0008] Furthermore, the idle time ∆t of the battery in the community environment is collected, and the critical idle time value b for permanent damage caused by severe influence is set. Then, based on the initially determined type of environmental influence and the battery idle time, the final type of influence of the community environment on the battery internal resistance is analyzed: When it is initially determined that the community environment has a mild influence on the battery, the idle time of the battery in this environment is further analyzed. If ∆t < 3b, it means that the idle time of the battery in the environment with mild influence is moderate, and it is finally determined that the community environment has a temporary influence on the battery. If ∆t ≥ 3b, it means that the idle time of the battery in the environment with mild influence is too long, and it is finally determined that the community environment has a permanent damage influence on the battery. When it is initially determined that the community environment has a severe influence on the battery, the idle time of the battery in this environment is further analyzed. If ∆t < b, it means that the idle time of the battery in the environment with severe influence is within the threshold, and it is finally determined that the community environment has a temporary influence on the battery. If ∆t ≥ b, it means that the idle time of the battery in the environment with severe influence exceeds the threshold, and it is finally determined that the community environment has a permanent damage influence on the battery. If the community environment has a temporary influence on the battery, the collected battery internal resistance is corrected to remove the environmental influence. The corrected battery internal resistance after removing the environmental influence is: r' = r / ρ; where r represents the directly collected battery internal resistance, and r' represents the corrected battery internal resistance after removing the environmental influence. For temporary influence, correcting the collected battery internal resistance to remove the environmental influence achieves the effect of eliminating the inaccurate detection of the actual resistance of the battery caused by the environmental influence, thereby avoiding inaccurate battery quality assessment. If the community environment has a permanent damage influence on the battery, since the permanent damage to the battery caused by environmental changes cannot be restored, the collected battery internal resistance is no longer corrected to remove the environmental influence. Instead, the influence weight of the battery internal resistance in the process of calculating the battery quality assessment value is adjusted. The adjusted influence weight of the battery internal resistance is: g 33 = g3 × ρ; where g3 represents the initial influence weight of the battery internal resistance before adjustment, and g 33This indicates the weighting of the adjusted battery internal resistance. Regarding the impact of permanent damage, since permanent damage to the battery caused by environmental changes is irreversible, and an abnormal increase in battery internal resistance has a significant impact on battery quality assessment, the environmental impact coefficient is used to adjust the weighting of the battery internal resistance. This improves the accuracy of battery quality assessment calculations and increases the matching of battery internal resistance detection results with the community scenario.

[0009] Furthermore, the idle impact analysis mechanism is used to couple the battery idle time with the environmental impact coefficient to obtain the idle loss coefficient in the battery, and to adjust the impact weight of the idle time using the idle loss coefficient.

[0010] Furthermore, by combining the battery's idle time in the community environment with the environmental impact coefficient to analyze the idle loss coefficient, the idle loss coefficient can be calculated using the following formula: ; Where φ represents the idle loss coefficient; ∆t0 represents the set idle time threshold; and e represents the natural constant. The influence weight of idle time is dynamically adjusted using the idle loss coefficient. The adjusted influence weight of idle time is: g 22 =g2×φ; where g2 represents the initial influence weight of the idle time before adjustment, g 22 This indicates the weight of the impact of the adjusted idle time. Because the longer the idle time, the more serious the impact of the internal chemical reactions caused by the battery's idleness on the battery quality. Therefore, when the battery idle time increases, the weight of the impact of the idle time is dynamically adjusted using the idle time impact coefficient. Only by adaptively adjusting the weight of the impact of the battery idle time in the analysis of the battery quality assessment value can the accuracy of the assessment value be improved.

[0011] Furthermore, the battery quality assessment mechanism is used to jointly analyze the collected battery capacity, battery idle time and battery internal resistance, weighted and fused to obtain the battery quality assessment value, and to classify and schedule the battery according to the battery quality assessment value.

[0012] Furthermore, the battery's actual capacity u, idle time ∆t, and internal resistance r are obtained using the battery's built-in BMS system. The battery quality assessment value is then calculated using the following formula: ; Among them, H represents the battery quality evaluation value, g1 represents the influence weight of the battery capacity, g2 represents the influence weight of the battery idle duration, g3 represents the influence weight of the battery internal resistance; u0 represents the rated capacity of the battery; ∆t0 represents the set battery idle duration threshold; r0 represents the battery internal resistance threshold; By setting up a battery quality evaluation mechanism, the battery quality evaluation value is obtained by combining the battery capacity change, battery internal resistance and battery idle duration, and by dynamically adjusting the feature weights, the accuracy of battery quality evaluation is improved, which accurately reflects the actual state of community batteries, and solves the problems of poor adaptability and large deviation of existing evaluation methods; Thus, the battery is classified and scheduled according to the battery quality evaluation value. By clarifying the usage range of batteries in different health states through battery classification, and combining with the user's battery replacement cycle for precise matching, the problems of high-quality battery idleness and overuse of medium- and low-quality batteries are avoided; It effectively reduces the loss of batteries caused by community environment and disorderly scheduling, prolongs the overall battery life, and reduces the battery replacement cost and resource waste; Set the battery quality evaluation thresholds H1 and H2; Compare and analyze the actually obtained battery quality evaluation value with the set thresholds, so as to judge the quality grade of the battery: If H≥H2, it is judged that the battery quality evaluation value is high, which means the battery quality is excellent, then record the battery quality grade as first level, and match the first-level battery to high-frequency battery replacement users when performing battery scheduling and matching; If H1≤H<H2, it is judged that the battery quality evaluation value is moderate, which means the battery quality is good, then record the battery quality grade as second level, and match the second-level battery to low-frequency battery replacement users when performing battery scheduling and matching; If H<H1, it is judged that the battery quality evaluation value is too low, which means the battery quality is poor, then record the battery quality grade as third level, and classify it as a retired battery to be recycled, and it will no longer participate in the classification and allocation of batteries.

[0013] A battery swapping station operation and maintenance management system based on multi-source data, the system includes a community environment impact analysis module, a battery internal resistance impact adjustment module, an idle impact analysis module and a battery quality evaluation and scheduling module; The community environment impact analysis module is used to jointly analyze the community environment impact coefficient according to the collected community day-night temperature difference, average relative humidity and dust concentration, and use the environment impact coefficient to initially judge the impact of the environment on the internal resistance of the batteries in the swapping station; The battery internal resistance impact adjustment module is used to analyze the impact type of the community environment on the change of the battery internal resistance in combination with the environment impact coefficient and the idle duration of the batteries in the swapping station, and respectively correct the battery internal resistance data or adjust the battery internal resistance impact weight according to the environment impact type; The idle time impact analysis module is used to couple the battery idle time and environmental impact coefficient to obtain the idle time impact coefficient, and to fine-tune the impact weight of the idle time using the idle time impact coefficient; The battery quality assessment and scheduling module is used to analyze battery quality assessment values ​​based on the capacity and electrical characteristics data of batteries in the battery swapping station, classify the batteries in the battery swapping station, and schedule batteries to users with different swapping frequencies according to the class.

[0014] Compared with the prior art, the beneficial effects of the present invention are: In analyzing battery quality assessment values ​​at battery swapping stations, this invention addresses the unique characteristics of community environments, including diurnal temperature variations, humidity, and dust. It establishes a community environmental impact analysis mechanism to obtain environmental impact coefficients based on changes in the community environment. By combining the environmental impact coefficient with battery idle time, the coupled impact of the environment and idle time on battery internal resistance changes is analyzed, determining whether the impact is temporary or permanent. For temporary impacts, the collected battery internal resistance data is corrected for environmental influences, eliminating inaccurate battery quality assessments caused by environmental factors. For permanent damage, since environmental changes cause irreversible damage to the battery, and abnormal increases in battery internal resistance significantly affect battery quality assessment, the environmental impact coefficient is used to adjust the weighting of battery internal resistance, improving the accuracy of battery quality assessment calculations and increasing the relevance of battery internal resistance detection results to the community scenario. Simultaneously, an idle time impact analysis mechanism couples battery idle time with the environmental impact coefficient to obtain an idle time impact coefficient. The impact weight of the idle time on the idle influence coefficient is dynamically adjusted because the longer the idle time, the more severe the impact of internal chemical reactions caused by the battery's idleness on battery quality. Therefore, when the battery idle time increases, the impact weight of the battery idle time in the analysis of battery quality assessment value needs to be adaptively adjusted to improve the accuracy of the assessment value. This invention improves the accuracy of battery quality assessment by dynamically adjusting the feature weights, accurately reflecting the actual state of community batteries and solving the problems of poor adaptability and large deviation of existing assessment methods. Furthermore, a battery quality assessment mechanism is set up to obtain battery quality assessment values ​​by combining battery capacity changes, battery internal resistance, and battery idle time. Based on the battery quality assessment values, batteries are classified and scheduled. By classifying batteries, the usage range of batteries in different health states is clearly defined, and precise matching is achieved in conjunction with the user's battery swapping cycle. This avoids the problem of high-quality batteries being idle and medium- and low-quality batteries being overused. This not only improves the maintenance, repair, operation, and management efficiency of battery swapping stations, but also effectively reduces the damage to batteries caused by the community environment and disordered scheduling, extends the overall battery life, and reduces battery replacement costs and resource waste. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating a battery swapping station operation and maintenance management method based on multi-source data according to the present invention. Detailed Implementation

[0016] 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 some embodiments of the present invention, and not all embodiments. 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.

[0017] like Figure 1 As shown, this invention provides a technical solution: a battery swapping station operation and maintenance management method based on multi-source data, the method comprising: An environmental impact analysis mechanism is set up to analyze the environmental impact coefficient based on environmental change data, and to preliminarily determine the degree of environmental impact on the internal resistance of batteries in the battery swapping station based on the environmental impact coefficient. A battery internal resistance impact adjustment mechanism is set up to analyze the impact of the community environment on battery internal resistance changes by combining the environmental impact coefficient and the idle time of batteries in the battery swapping station. The internal resistance data of the battery is corrected or the weight of the battery internal resistance impact is adjusted according to the environmental impact type. An idle impact analysis mechanism is set up to couple the idle time of the battery with the environmental impact coefficient to obtain the idle impact coefficient, and to fine-tune the impact weight of the idle time using the idle impact coefficient; A battery quality assessment mechanism is set up to analyze battery quality assessment values ​​based on the capacity and electrical characteristics data of batteries in the battery swapping station, classify the batteries in the battery swapping station, and allocate batteries to users with different swapping frequencies according to the class.

[0018] The environmental impact analysis mechanism is used to jointly analyze the community's environmental impact coefficient based on the collected data on the community's diurnal temperature range, average relative humidity, and dust concentration. Based on the community's environmental impact coefficient obtained from the analysis, the degree of influence of the community environment on the battery's internal resistance can be preliminarily determined.

[0019] The diurnal temperature difference ∆T within the community was collected using a temperature sensor, the average relative humidity S within the community was collected using a humidity sensor, and the airborne dust concentration C was collected; the community environmental impact coefficient was calculated using the following formula: ; Where ρ represents the community environmental impact coefficient; ∆T0 is the critical temperature difference affecting the battery internal resistance; S0 is the critical relative humidity affecting the battery internal resistance; and C0 is the critical dust concentration affecting the battery internal resistance. Set the threshold ρ1 of the community environment impact coefficient, and compare the analyzed community environment impact coefficient with the value 1 and the critical value ρ1. The analysis results are as follows: If ρ = 1, it means that the environment has no impact on the internal resistance of the battery in the battery swapping station, and no environmental impact correction is performed on the collected internal resistance of the battery; If 1 < ρ ≤ ρ1, it means that the community environment impact coefficient is relatively low, and it is initially judged that the environmental change has a slight impact on the internal resistance of the battery in the battery swapping station; If ρ > ρ1, it means that the community environment impact coefficient is too high, and it is initially judged that the environmental change has a severe impact on the internal resistance of the battery in the battery swapping station.

[0020] The battery internal resistance impact adjustment mechanism is used to comprehensively analyze the obtained community environment impact coefficient and the idle time of the battery in the battery swapping station to determine the type of impact of the community environment on the battery internal resistance. The types of impacts include temporary impact and permanent damage impact. If the community environment has a temporary impact on the battery internal resistance, environmental impact correction is performed on the collected battery internal resistance. If the community environment has a permanent damage impact on the battery internal resistance, the impact weight of the battery internal resistance is adjusted.

[0021] Collect the idle time ∆t of the battery in the community environment, and set the idle time critical value b for permanent damage caused by severe impact. Then, analyze the final impact type of the community environment on the battery internal resistance based on the initially determined environmental impact type and the battery idle time: When it is initially judged that the community environment has a slight impact on the battery, further analyze the idle time of the battery in this environment. If ∆t < 3b, it means that the idle time of the battery in the environment with a slight impact is moderate, and it is finally judged that the community environment has a temporary impact on the battery. If ∆t ≥ 3b, it means that the idle time of the battery in the environment with a slight impact is too long, and it is finally judged that the community environment has a permanent damage impact on the battery; When it is initially judged that the community environment has a severe impact on the battery, further analyze the idle time of the battery in this environment. If ∆t < b, it means that the idle time of the battery in the environment with a severe impact is within the threshold, and it is finally judged that the community environment has a temporary impact on the battery. If ∆t ≥ b, it means that the idle time of the battery in the environment with a severe impact exceeds the threshold, and it is finally judged that the community environment has a permanent damage impact on the battery; If the community environment has a temporary impact on the battery, environmental impact correction is performed on the collected battery internal resistance. The corrected battery internal resistance after removing the environmental impact is: r' = r / ρ; where, r represents the directly collected battery internal resistance; r' represents the corrected battery internal resistance after removing the environmental impact; If the community environment causes permanent damage to the battery, and this permanent damage is irreversible due to environmental changes, then the collected battery internal resistance will not be corrected for environmental impact. Instead, the weighting of the battery internal resistance in the calculation of the battery quality assessment value will be adjusted. The adjusted weighting of the battery internal resistance is: g 33 =g3×ρ; where g3 represents the initial influence weight of the battery internal resistance before adjustment, g 33 This indicates the weighting of the impact of the adjusted battery internal resistance.

[0022] The idle impact analysis mechanism is used to couple the analysis of battery idle time and environmental impact coefficient to obtain the idle loss coefficient in the battery, and to adjust the impact weight of idle time using the idle loss coefficient.

[0023] By combining the battery's idle time in the community environment with the environmental impact coefficient, the idle loss coefficient can be calculated using the following formula: ; Where φ represents the idle loss coefficient; ∆t0 represents the set idle time threshold; and e represents the natural constant. The influence weight of idle time is dynamically adjusted using the idle loss coefficient. The adjusted influence weight of idle time is: g 22 =g2×φ; where g2 represents the initial influence weight of the idle time before adjustment, g 22 This indicates the weight of the impact of the adjusted idle time.

[0024] The battery quality assessment mechanism is used to jointly analyze the collected battery capacity, battery idle time and battery internal resistance, weighted and fused to obtain the battery quality assessment value, and to classify and schedule batteries according to the battery quality assessment value.

[0025] Using the battery's built-in BMS system to obtain the battery's actual capacity u, battery idle time ∆t, and battery internal resistance r, the battery quality assessment value is calculated according to the following formula: ; Where H represents the battery quality assessment value, g1 represents the influence weight of battery capacity, g2 represents the influence weight of battery idle time, g3 represents the influence weight of battery internal resistance, u0 represents the rated capacity of the battery, ∆t0 represents the set battery idle time threshold, and r0 represents the battery internal resistance threshold. Set battery quality assessment thresholds H1 and H2; compare and analyze the actual battery quality assessment values ​​with the set thresholds to determine the battery's quality level. If H ≥ H2, it is determined that the battery quality evaluation value is high, indicating that the battery quality is excellent. Then, the battery quality level is recorded as level one, and level-one batteries are matched with high-frequency battery replacement users during battery scheduling and matching; If H1 ≤ H < H2, it is determined that the battery quality evaluation value is moderate, indicating that the battery quality is good. Then, the battery quality level is recorded as level two, and level-two batteries are matched with low-frequency battery replacement users during battery scheduling and matching; If H < H1, it is determined that the battery quality evaluation value is too low, indicating that the battery quality is poor. Then, the battery quality level is recorded as level three, and the batteries are classified as retired batteries awaiting recycling and no longer participate in battery grading and allocation.

[0026] A battery swapping station operation and maintenance management system based on multi-source data, the system includes a community environment impact analysis module, a battery internal resistance impact adjustment module, an idle impact analysis module, and a battery quality evaluation and scheduling module; The community environment impact analysis module is used to jointly analyze the community environment impact coefficient based on the collected community day-night temperature difference, average relative humidity, and dust concentration, and use the environment impact coefficient to preliminarily judge the impact of the environment on the internal resistance of the batteries in the swapping station; The battery internal resistance impact adjustment module is used to analyze the impact type of the community environment on the change of the battery internal resistance in combination with the environment impact coefficient and the idle duration of the batteries in the swapping station, and respectively correct the internal resistance data of the batteries or adjust the internal resistance impact weight according to the environment impact type; The idle impact analysis module is used to perform a coupled analysis on the idle duration of the batteries and the environment impact coefficient to obtain an idle impact coefficient, and use the idle impact coefficient to finely adjust the impact weight of the idle duration; The battery quality evaluation and scheduling module is used to analyze the battery quality evaluation value based on the capacity and electrical characteristic data of the batteries in the swapping station, classify the batteries in the swapping station, and dispatch the batteries to users with different battery replacement frequencies according to the level.

[0027] Embodiment 1: Use a temperature sensor to collect the day-night temperature difference ∆T in the community, use a humidity sensor to collect the average relative humidity S in the community, and collect the dust concentration C in the air; calculate the community environment impact coefficient according to the following formula: ; where ρ represents the community environment impact coefficient; ∆T0 is the critical temperature difference affecting the battery internal resistance; S0 is the critical relative humidity affecting the battery internal resistance; C0 is the critical dust concentration affecting the battery internal resistance; Set the community environment impact coefficient threshold ρ1, and compare the analyzed community environment impact coefficient with the value 1 and the critical value ρ1. The analysis results are as follows: If ρ = 1, it means that the environment has no influence on the internal resistance of the battery in the swapping station, and no environmental influence correction is performed on the collected internal resistance of the battery; If 1 < ρ ≤ ρ1, it means that the community environmental influence coefficient is relatively low, and it is initially judged that the environmental change has a slight influence on the internal resistance of the battery in the swapping station; If ρ > ρ1, it means that the community environmental influence coefficient is too high, and it is initially judged that the environmental change has a severe influence on the internal resistance of the battery in the swapping station; Collect ∆T = 10°C, S = 60%, C = 40 μg / m 3 , set ∆T0 = 8°C, S0 = 50%, C0 = 40 μg / m 3 , then ρ = 1.1688 is calculated, which means that the community environmental influence coefficient is relatively low, and it is initially judged that the environmental change has a slight influence on the internal resistance of the battery; Collect the idle time ∆t of the battery in the community environment, and set the idle time threshold b for permanent damage caused by severe influence; then analyze the final influence type of the community environment on the internal resistance of the battery according to the initially determined environmental influence type and the battery idle time: When it is initially judged that the community environment has a slight influence on the battery, further analyze the idle time of the battery in this environment. If ∆t < 3b, it means that the idle time of the battery in the environment with slight influence is moderate, and it is finally judged that the community environment has a temporary influence on the battery; if ∆t ≥ 3b, it means that the idle time of the battery in the environment with slight influence is too long, and it is finally judged that the community environment has a permanent damage influence on the battery; When it is initially judged that the community environment has a severe influence on the battery, further analyze the idle time of the battery in this environment. If ∆t < b, it means that the idle time of the battery in the environment with severe influence is within the threshold, and it is finally judged that the community environment has a temporary influence on the battery; if ∆t ≥ b, it means that the idle time of the battery in the environment with severe influence exceeds the threshold, and it is finally judged that the community environment has a permanent damage influence on the battery; If the community environment has a temporary influence on the battery, perform environmental influence correction on the collected internal resistance of the battery. The corrected internal resistance of the battery after removing environmental influence is: r' = r / ρ; where, r represents the directly collected internal resistance of the battery; r' represents the corrected internal resistance of the battery after removing environmental influence; If the community environment has a permanent damage influence on the battery, since the permanent damage of the battery caused by environmental change cannot be restored, no environmental influence correction is performed on the collected internal resistance of the battery; instead, adjust the influence weight of the internal resistance of the battery in the process of calculating the battery quality evaluation value. The adjusted influence weight of the internal resistance of the battery is: g 33 = g3×ρ; where, g3 represents the initial influence weight of the internal resistance of the battery before adjustment, and g 33 represents the adjusted influence weight of the internal resistance of the battery; The collected idle duration ∆t = 10 days; b = 5 days; and ∆t < 3b, which indicates that the idle duration of the battery in an environment with a mild impact is moderate, and finally it is judged that the community environment has a temporary impact on the battery; then the environmental impact correction is performed on the collected internal resistance of the battery, and the internal resistance of the battery after environmental impact correction is: r' = r / ρ; Analyze the idle loss coefficient by combining the idle duration of the battery in the community environment with the environmental impact coefficient, and calculate the idle loss coefficient according to the following formula: ; Among them, φ represents the idle loss coefficient; ∆t0 represents the set idle duration threshold; e represents the natural constant; Dynamically adjust the influence weight of the idle duration using the idle loss coefficient, and the adjusted influence weight of the idle duration is: g 22 = g2 × φ; where, g2 represents the initial influence weight of the idle duration before adjustment, and g 22 represents the adjusted influence weight of the idle duration; Set ∆t0 = 15 days, and calculate φ = 0.92; the adjusted influence weight of the idle duration is: g 22 = g2 × φ; Use the BMS system built in the battery to obtain the actual capacity u of the battery, the idle duration ∆t of the battery, and the internal resistance r of the battery, and calculate the battery quality evaluation value according to the following formula: ; Among them, H represents the battery quality evaluation value, g1 represents the influence weight of the battery capacity, g2 represents the influence weight of the battery idle duration; g3 represents the influence weight of the battery internal resistance; u0 represents the rated capacity of the battery; ∆t0 represents the set battery idle duration threshold; r0 represents the internal resistance threshold of the battery; Set the battery quality evaluation thresholds H1 and H2; compare and analyze the actually obtained battery quality evaluation value with the set thresholds to judge the quality grade of the battery: If H ≥ H2, it is judged that the battery quality evaluation value is high, indicating that the quality of the battery is excellent, then record the battery quality grade as first level, and match the first-level battery to high-frequency battery replacement users during battery scheduling and matching; If H1 ≤ H < H2, it is judged that the battery quality evaluation value is moderate, indicating that the quality of the battery is good, then record the battery quality grade as second level, and match the second-level battery to low-frequency battery replacement users during battery scheduling and matching; If H < H1, it is judged that the battery quality evaluation value is too low, indicating that the quality of the battery is poor, then record the battery quality grade as third level, and classify it as a retired battery to be recycled, and it will no longer participate in the classification and allocation of batteries; Data was collected at u=4700mAh, ∆t=10h, r=8mΩ, u0=4800mAh, ∆t0=10h, r0=10mΩ; influence weights were set to g1=0.6, g2=0.2, g3=0.2; H1=0.7, H2=1; after correcting for environmental influences on the collected battery internal resistance, the corrected environmentally unaffected battery internal resistance was obtained as: r'=r / ρ=9.35mΩ; the influence weight of the adjusted idle time was: g 22 =g²×φ=0.184; then g 11 =1-g 22 -g3=0.616; Calculation yields H=1.1; If H≥H2, the battery quality assessment value is high, indicating that the battery quality is excellent. The battery quality level is recorded as Level 1, and Level 1 batteries are matched to high-frequency battery swapping users during battery scheduling and matching.

[0028] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A battery swapping station operation and maintenance management method based on multi-source data, characterized in that: The methods include: An environmental impact analysis mechanism is set up to analyze the environmental impact coefficient based on environmental change data, and to preliminarily determine the degree of environmental impact on the internal resistance of batteries in the battery swapping station based on the environmental impact coefficient. A battery internal resistance impact adjustment mechanism is set up to analyze the impact of the community environment on battery internal resistance changes by combining the environmental impact coefficient and the idle time of batteries in the battery swapping station. The internal resistance data of the battery is corrected or the weight of the battery internal resistance impact is adjusted according to the environmental impact type. An idle impact analysis mechanism is set up to couple the idle time of the battery with the environmental impact coefficient to obtain the idle impact coefficient, and to fine-tune the impact weight of the idle time using the idle impact coefficient; A battery quality assessment mechanism is set up to analyze battery quality assessment values ​​based on the capacity and electrical characteristics data of batteries in the battery swapping station, classify the batteries in the battery swapping station, and allocate batteries to users with different swapping frequencies according to the class.

2. The battery swapping station operation and maintenance management method based on multi-source data according to claim 1, characterized in that: The environmental impact analysis mechanism is used to jointly analyze the community environmental impact coefficient based on the collected diurnal temperature range, average relative humidity, and dust concentration. Based on the community environmental impact coefficient obtained from the analysis, the degree of influence of the community environment on the battery internal resistance is initially determined.

3. The battery swapping station operation and maintenance management method based on multi-source data according to claim 2, characterized in that: The temperature sensor was used to collect the diurnal temperature difference ∆T in the community, the humidity sensor was used to collect the average relative humidity S in the community, and the dust concentration C in the air was collected. The community environmental impact coefficient is calculated using the following formula: ； Where ρ represents the community environmental impact coefficient; ∆T0 is the critical temperature difference affecting the battery internal resistance; S0 is the critical relative humidity affecting the battery internal resistance; and C0 is the critical dust concentration affecting the battery internal resistance. A threshold value ρ1 for the community environmental impact coefficient was set. The obtained community environmental impact coefficient was compared with the value 1 and the critical value ρ1. The analysis results are as follows: If ρ=1, it means that the environment has no effect on the internal resistance of the battery in the battery swapping station, and no environmental impact correction is applied to the collected battery internal resistance. If 1 < ρ ≤ ρ1, it indicates that the community environment impact coefficient is low, and it is preliminarily judged that the environmental changes have a slight impact on the internal resistance of the batteries in the battery swapping station. If ρ>ρ1, it indicates that the community environment impact coefficient is too high, and it is preliminarily judged that environmental changes have a severe impact on the internal resistance of batteries in the battery swapping station.

4. The battery swapping station operation and maintenance management method based on multi-source data according to claim 1, characterized in that: The battery internal resistance impact adjustment mechanism is used to combine the acquired community environmental impact coefficient with the idle time of batteries in the battery swapping station for analysis, thereby determining the type of impact of the community environment on the battery internal resistance. The impact types include temporary impact and permanent damage impact. If the community environment has a temporary impact on the battery internal resistance, the collected battery internal resistance is corrected to remove the environmental impact. If the community environment has a permanent damage impact on the battery internal resistance, the impact weight of the battery internal resistance is adjusted.

5. The battery swapping station operation and maintenance management method based on multi-source data according to claim 4, characterized in that: The idle time ∆t of the battery in the community environment is collected, and a critical value b for the idle time that causes permanent damage due to severe impact is set. Then, based on the initially determined type of environmental impact and the battery idle time, the final impact type of the community environment on the battery internal resistance is analyzed: When it is initially judged that the community environment has a mild impact on the battery, further analyze the idle duration of the battery in this environment. If ∆t < 3b, it means that the idle duration of the battery in the environment with a mild impact is moderate, and finally judge that the community environment has a temporary impact on the battery; if ∆t ≥ 3b, it means that the idle duration of the battery in the environment with a mild impact is too long, and finally judge that the community environment has a permanent damage impact on the battery; When it is initially judged that the community environment has a severe impact on the battery, further analyze the idle duration of the battery in this environment. If ∆t < b, it means that the idle duration of the battery in the environment with a severe impact is within the threshold, and finally judge that the community environment has a temporary impact on the battery; if ∆t ≥ b, it means that the idle duration of the battery in the environment with a severe impact exceeds the threshold, and finally judge that the community environment has a permanent damage impact on the battery; If the community environment has a temporary impact on the battery, perform environmental impact correction on the collected battery internal resistance. The corrected battery internal resistance after removing the environmental impact is: r' = r / ρ; where, r represents the directly collected battery internal resistance; r' represents the corrected battery internal resistance after removing the environmental impact; If the community environment causes permanent damage to the battery, the environmental impact correction for the collected battery internal resistance will not be applied. Instead, the weighting of the battery internal resistance used in the calculation of the battery quality assessment value will be adjusted. The adjusted weighting of the battery internal resistance is: g 33 =g3×ρ; where g3 represents the initial influence weight of the battery internal resistance before adjustment, g 33 This indicates the weighting of the impact of the adjusted battery internal resistance.

6. The battery swapping station operation and maintenance management method based on multi-source data according to claim 1, characterized in that: The idle impact analysis mechanism is used to perform a coupled analysis of the battery idle duration and the environmental impact coefficient to obtain the idle loss coefficient in the battery, and use the idle loss coefficient to adjust the influence weight of the idle duration.

7. The battery swapping station operation and maintenance management method based on multi-source data according to claim 6, characterized in that: Analyze the idle loss coefficient by combining the idle duration of the battery in the community environment with the environmental impact coefficient, and calculate the idle loss coefficient according to the following formula: ； where, φ represents the idle loss coefficient; ∆t0 represents the set idle duration threshold; e represents the natural constant; The influence weight of idle time is dynamically adjusted using the idle loss coefficient. The adjusted influence weight of idle time is: g 22 =g2×φ; where g2 represents the initial influence weight of the idle time before adjustment, g 22 This indicates the weight of the impact of the adjusted idle time.

8. The battery swapping station operation and maintenance management method based on multi-source data according to claim 1, characterized in that: The battery quality assessment mechanism is used to perform a joint analysis of the collected battery capacity, battery idle duration, and battery internal resistance, and obtain the battery quality assessment value through weighted fusion, and perform hierarchical scheduling on the battery according to the battery quality assessment value.

9. A battery swapping station operation and maintenance management method based on multi-source data according to claim 8, characterized in that: Use the BMS system built in the battery to obtain the actual capacity u of the battery, the battery idle duration ∆t, and the battery internal resistance r, and obtain the rated capacity u0 of the battery. Set the idle duration threshold and internal resistance threshold of the battery; and set the influence weight g1 of the battery capacity, set the influence weight g2 of the idle duration, set the influence weight g3 of the battery internal resistance, and perform weighted fusion on the battery capacity, idle duration, and battery internal resistance to obtain the battery quality assessment value H; set the battery quality assessment thresholds H1 and H2; compare and analyze the actually obtained battery quality assessment value with the set thresholds to judge the quality level of the battery: If H ≥ H2, judge that the battery quality assessment value is high, which means that the quality of the battery is excellent, and record the battery quality level as the first level. When performing battery scheduling matching, match the first-level battery to high-frequency battery replacement users; If H1 ≤ H < H2, judge that the battery quality assessment value is moderate, which means that the quality of the battery is good, and record the battery quality level as the second level. When performing battery scheduling matching, match the second-level battery to low-frequency battery replacement users; If H < H1, it is determined that the battery quality evaluation value is too low, indicating a quality deviation of the battery. Then, the quality level of the battery is recorded as level three and classified as a retired battery awaiting recycling, and it will no longer participate in the battery grading and allocation.

10. The battery swapping station operation and maintenance management system based on multi-source data according to claim 1, applied to the battery swapping station operation and maintenance management method based on multi-source data according to any one of claims 1-9, characterized in that: The system includes a community environmental impact analysis module, a battery internal resistance impact adjustment module, an idle impact analysis module, and a battery quality assessment and scheduling module. The community environmental impact analysis module is used to jointly analyze the community environmental impact coefficient based on the collected community day-night temperature difference, average relative humidity, and dust concentration, and preliminarily judge the impact of the environment on the internal resistance of the batteries in the battery swapping station using the environmental impact coefficient. The battery internal resistance impact adjustment module is used to analyze the type of impact of the community environment on the change of the battery internal resistance in combination with the environmental impact coefficient and the idle duration of the batteries in the battery swapping station, and respectively correct the internal resistance data of the batteries or adjust the internal resistance impact weight according to the environmental impact type. The idle impact analysis module is used to perform a coupled analysis of the idle duration of the batteries and the environmental impact coefficient to obtain the idle impact coefficient, and use the idle impact coefficient to finely adjust the impact weight of the idle duration. The battery quality assessment and scheduling module is used to analyze the battery quality assessment value based on the capacity and electrical characteristic data of the batteries in the battery swapping station, grade the batteries in the battery swapping station, and dispatch the batteries to users with different battery swapping frequencies according to the grade.

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