Method, device and equipment for prolonging service life of power battery and storage medium

Abstract

The invention provides a method, device and equipment for prolonging the service life of a power battery and a storage medium, and relates to the technical field of power batteries, and the method comprises the steps: constructing an initial vehicle data set and an initial power battery data set according to the operation data of a vehicle, and the battery replacement data and charging and discharging data of the power battery in a battery replacement station; performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain a vehicle data set and a power battery data set; extracting battery life key features according to the power battery data set to obtain a power battery portrait; vehicle operation features are extracted according to the vehicle data set, and a vehicle portrait is obtained; and performing feature matching according to the power battery portrait and the vehicle portrait to obtain a battery replacement matching result of the power battery and the vehicle to be subjected to battery replacement. By accurately matching the power battery portrait with the vehicle portrait, the overall use efficiency and the service life of the power battery are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power batteries, and in particular to a method, device, equipment and storage medium for improving the service life of a power battery. Background Art

[0002] As a key component of new energy vehicles, power batteries are widely used in pure electric vehicles, hybrid vehicles and fuel cell vehicles. Especially in pure electric vehicles, which are the largest category of new energy vehicles, the cost of power batteries can account for as much as 30% to 50%. Generally speaking, the service life of power batteries is shorter than the service life of the entire new energy vehicle. The main factor affecting the life of power batteries is their capacity decay. This process is affected by many factors, including different driving habits, usage requirements and environmental conditions, resulting in the health status of power batteries showing multi-factor, nonlinear and random changes.

[0003] The energy replenishment methods of power batteries generally include charging mode and battery replacement mode. In charging mode, the operating conditions of the power battery are limited by the vehicle operating conditions. In battery replacement mode, the service life of the power battery is currently extended mainly by adjusting the control strategy of the whole vehicle or the power battery. However, since the attenuation of the power battery is closely related to its operating conditions, when the operating conditions of the power battery remain unchanged, the effect of extending its service life by simply adjusting the control strategy of the whole vehicle or the power battery is relatively limited. Therefore, there is an urgent need to solve the problem of how to effectively extend the service life of the power battery. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method, device, equipment and storage medium for improving the service life of a power battery, which effectively solves the problem of how to effectively extend the service life of a power battery in a battery replacement mode.

[0005] In a first aspect, the present invention provides a method for improving the service life of a power battery, the method comprising:

[0006] Construct an initial vehicle dataset and an initial power battery dataset based on the vehicle's operating data, the power battery swapping data at the power battery swapping station, and the charging and discharging data;

[0007] Performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain a vehicle data set and a power battery data set;

[0008] Extracting key features of battery life according to the power battery data set to obtain a power battery portrait;

[0009] Extracting vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait;

[0010] Feature matching is performed based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0011] In an optional embodiment, extracting key features of battery life according to the power battery data set to obtain a power battery portrait includes:

[0012] Extracting features from the power battery data set to obtain battery feature parameters;

[0013] Performing correlation analysis based on the battery characteristic parameters and the battery health status to obtain key characteristics of battery life;

[0014] A power battery data table is constructed according to the key characteristics of the battery life to obtain the power battery portrait.

[0015] In an optional implementation manner, extracting vehicle operation features according to the vehicle data set to obtain a vehicle portrait includes:

[0016] Extracting features from the vehicle data set to obtain vehicle operation features;

[0017] A vehicle operation data table is constructed according to the vehicle operation characteristics to obtain the vehicle portrait.

[0018] In an optional embodiment, the key characteristics of battery life include at least the average daily mileage of the battery, the proportion of fast charging and replenishment of the battery, and the proportion of the battery's stationary time in a high state of charge, and the vehicle operation characteristics include at least the average daily mileage of the vehicle, the proportion of fast charging and replenishment of the vehicle, and the proportion of the vehicle's stationary time in a high state of charge.

[0019] In an optional embodiment, the performing feature matching according to the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced includes:

[0020] Obtaining a plurality of key battery life characteristics of each target power battery according to the power battery portrait, wherein the target power battery is a power battery that has been fully charged in the battery swap station;

[0021] Obtaining the vehicle operation characteristics of the vehicle to be replaced according to the vehicle portrait;

[0022] Summing the vehicle operation characteristics with the plurality of key battery life characteristics respectively to obtain a plurality of characteristic sums, wherein the characteristic sums include at least the sum of the average daily mileage, the sum of the fast charging and replenishing ratios, and the sum of the high-charge state static time ratios;

[0023] According to the sum of the daily average mileage, the sum of the fast charging energy replenishment ratio, and the sum of the high charge state static time ratio, they are sorted respectively to obtain a sequence of the sum of the daily average mileage, a sequence of the sum of the fast charging energy replenishment ratio, and a sequence of the sum of the high charge state static time ratio;

[0024] If the difference between the maximum value and the minimum value in the daily average mileage sum sequence is greater than a first preset threshold, the target power battery corresponding to the minimum value in the daily average mileage sum sequence is selected as the battery replacement matching result;

[0025] If the difference between the maximum value and the minimum value in the sum sequence of the average daily mileage is not greater than the first set threshold, then compare whether the difference between the maximum value and the minimum value in the sum sequence of the fast charging energy replenishment ratio is greater than the second preset threshold. If it is greater than the second preset threshold, select the target power battery corresponding to the minimum value in the sum sequence of the fast charging energy replenishment ratio as the battery replacement matching result;

[0026] If the difference between the maximum value and the minimum value in the sum sequence of the fast charging energy replenishment ratio is not greater than the second preset threshold, then compare whether the difference between the maximum value and the minimum value in the sum sequence of the high charge state rest time ratio is greater than the third preset threshold; if it is greater than the third preset threshold, select the target power battery corresponding to the minimum value in the sum sequence of the high charge state rest time ratio as the battery replacement matching result;

[0027] If the difference between the maximum and minimum values ​​in the sequence of the sum of the ratios of the high-charge state rest time is not greater than the third preset threshold, an arbitrarily selected target power battery is used as the battery replacement matching result.

[0028] In an optional embodiment, the constructing of the initial vehicle data set and the initial power battery data set according to the vehicle operation data, the power battery replacement data at the power battery replacement station, and the charge and discharge data includes:

[0029] Acquire the operation data of the vehicle and construct the initial vehicle data set according to the vehicle identification number;

[0030] The battery replacement data and the charge and discharge data of the power battery are obtained, and the initial power battery data set is constructed according to the battery coding.

[0031] In an optional implementation manner, the performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain the vehicle data set and the power battery data set includes:

[0032] Performing data cleaning and standardization processing on the initial vehicle data set and the initial power battery data set respectively;

[0033] Dividing the initial vehicle data set into events according to the working state of the vehicle to obtain the vehicle data set;

[0034] The initial power battery data set is divided into events according to the working state of the power battery to obtain the power battery data set.

[0035] In a second aspect, the present invention provides a device for improving the service life of a power battery, the device comprising:

[0036] A data set construction module, used to construct an initial vehicle data set and an initial power battery data set based on the vehicle's operating data, the power battery's battery swapping data at the battery swapping station, and the charging and discharging data;

[0037] A data processing module, used for performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain a vehicle data set and a power battery data set;

[0038] A battery profile building module, used to extract key features of battery life according to the power battery data set to obtain a power battery profile;

[0039] A vehicle portrait construction module, used to extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait;

[0040] The portrait matching module is used to perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0041] In a third aspect, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for improving the service life of a power battery as described in any one of the aforementioned embodiments.

[0042] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for improving the service life of a power battery as described in any one of the aforementioned embodiments is implemented.

[0043] The method, device, equipment and storage medium for improving the service life of power batteries provided by the present invention comprehensively consider the relationship between the power battery capacity attenuation law and the power battery usage conditions, establish a power battery portrait and vehicle portrait matching method, and preferentially match power batteries with less usage to vehicles with more demand, and match power batteries with more usage to vehicles with less demand, so as to achieve the convergence of the overall power battery portrait conditions. By accurately matching the power battery portrait with the vehicle portrait, it is ensured that the power battery usage conditions match its optimal working range, and the rapid capacity attenuation caused by frequent extreme conditions of the power battery is avoided, thereby significantly improving the overall use efficiency and service life of the power battery. Due to the extension of the service life of the power battery, the frequency of replacing the power battery is reduced, which directly reduces the cost of power battery renewal. The optimized power battery use strategy helps to reduce vehicle downtime caused by power battery failure, thereby reducing the cost of repair and maintenance, and improving operational efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 This is a first schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0046] Figure 2 is a second schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0047] Figure 3 is a third schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0048] Figure 4 is a fourth schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0049] Figure 5 is a fifth schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0050] Figure 6 is a sixth schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention;

[0051] Figure 7 is a schematic diagram of the structure of a device for increasing the service life of a power battery provided by an embodiment of the present invention;

[0052] Figure 8 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention.

[0053] Description of main component symbols:

[0054] 700. Device for improving the service life of a power battery; 710. Data set construction module; 720. Data processing module; 730. Battery portrait construction module; 740. Vehicle portrait construction module; 750. Portrait matching module; 800. Electronic device; 810. Processor; 820. Communication interface; 830. Memory; 840. Communication bus. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be further clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It should be noted that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0056] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0058] The energy replenishment methods of power batteries generally include charging mode and battery replacement mode. In charging mode, the operating conditions of power batteries are limited by vehicle operating conditions. In battery replacement mode, the service life of power batteries is currently extended mainly by adjusting the control strategy of the whole vehicle or power battery. For example, the battery life is extended jointly by the formulation of brake energy recovery control strategy and the formulation of composite power supply. Another example is to intelligently adjust the charging current according to the life of the power battery to avoid excessive charging current causing the aging coefficient of the power battery to increase, thereby effectively slowing down the attenuation rate of the battery life during the DC charging process and extending the service life of the power battery. However, since the attenuation of the power battery is closely related to its operating conditions, when the operating conditions of the power battery remain unchanged, the effect of extending its service life by only adjusting the control strategy of the whole vehicle or power battery is relatively limited.

[0059] Example 1

[0060] The embodiment of the present invention provides a method for improving the service life of a power battery, which effectively solves the problem of how to effectively extend the service life of a power battery in a battery replacement mode. Figure 1 is a first schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0061] S100, constructing an initial vehicle data set and an initial power battery data set according to the vehicle's operating data, the power battery's battery replacement data at the battery replacement station, and the charging and discharging data.

[0062] Figure 2 is a second schematic diagram of the method for improving the service life of a power battery provided by an embodiment of the present invention, such as Figure 2 As shown in the figure, the construction of the dataset includes the following steps:

[0063] S110 , obtaining vehicle operation data, and constructing an initial vehicle data set according to the vehicle identification number.

[0064] In the embodiment of the present invention, the vehicle-side operation data of new energy vehicles can be collected according to the GB32960 field, and the operation data includes but is not limited to battery system data, motor and control system data, vehicle controller data, charging system data, etc. The operation data can be collected through the vehicle's on-board diagnostic system or dedicated data acquisition equipment, and a reasonable data transmission protocol can be designed to ensure that the operation data can be safely and efficiently transmitted to the data center.

[0065] The vehicle identification number (VIN) is the unique identifier of each vehicle. A VIN code field is added to the vehicle-side operating data collected from new energy vehicles. The vehicle is matched and associated with its corresponding operating data through the VIN code to form an initial vehicle data set, thereby ensuring the accuracy of the data.

[0066] S120. Obtain the battery replacement data and charge and discharge data of the power battery, and construct an initial power battery data set based on the battery coding in combination with the operation data.

[0067] In an embodiment of the present invention, the battery replacement data of the power battery is collected from the battery replacement station, including but not limited to the battery replacement time, battery code, vehicle VIN code, the remaining power of the battery before and after the battery replacement, the number of battery replacements and other information. At the same time, the charging and discharging data of the power battery during the charging and discharging process can be collected through the on-board battery management system or the data acquisition system of the charging station, including but not limited to the charging current, discharge current, voltage, temperature, time and other information. Each power battery has a unique battery code, and the battery replacement data and the charging and discharging data are matched and integrated according to the battery code, and combined with the vehicle's operating data to obtain the initial power battery data set.

[0068] S200 , performing data preprocessing on an initial vehicle data set and an initial power battery data set to obtain a vehicle data set and a power battery data set.

[0069] Figure 3 A third schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, data preprocessing specifically includes the following steps:

[0070] S210, performing data cleaning and standardization processing on the initial vehicle data set and the initial power battery data set respectively.

[0071] Optionally, data cleaning can use median and mode to fill missing values, delete duplicate records, and use IQR statistics to identify and delete outliers. At the same time, the data format of the day and other data can be unified and the data can be standardized according to the time series.

[0072] S220 . Divide the initial vehicle data set into events according to the working status of the vehicle to obtain a vehicle data set.

[0073] In the embodiment of the present invention, the initial vehicle data set after data cleaning and standardization is divided into events, and the vehicle events can be divided into charging events, discharging events and static events according to the working state of the vehicle. A charging event refers to the process of charging a vehicle by connecting to an external power source, a discharging event refers to the process of using the power in the battery pack to travel or provide other power needs, and a static event refers to the process of the vehicle remaining stationary without charging or discharging.

[0074] S230 . Divide the initial power battery data set into events according to the working status of the power battery to obtain a power battery data set.

[0075] Similarly, the initial power battery data set after data cleaning and standardization can be divided into events according to the working status of the power battery. Battery events also include charging events, discharging events and static events. When the battery is receiving power from an external power source, the battery is in a charging event. When the battery provides power to a vehicle or other equipment, the battery is in a discharging event. When the battery neither receives power from an external power source nor provides power to other equipment, the battery is in a static event.

[0076] S300. Extract key features of battery life according to the power battery data set to obtain a power battery portrait.

[0077] Figure 4 4 is a schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention. Figure 4 As shown in the figure, the construction of the power battery portrait includes the following steps:

[0078] S310: Extract features from the power battery data set to obtain battery feature parameters.

[0079] In the embodiment of the present invention, the power battery data set is feature extracted by statistical and clustering analysis methods to obtain battery characteristic parameters. The battery characteristic parameters include but are not limited to battery code, battery calendar time, battery service time, battery average daily mileage, battery fast charging and replenishment ratio, battery slow charging and replenishment ratio, battery high charge state static time ratio, battery medium charge state static time ratio, battery low charge state static time ratio, main operating area, average charging rate, average charging time and current battery health status.

[0080] Because the GB32960 field collects data according to the vehicle dimension and cannot be directly applied to power batteries, it is necessary to process the data to obtain the battery characteristic parameters related to the power battery, as follows:

[0081] The battery calendar time represents the time difference between the power battery production date and the current date. The battery service time is the time difference between the date when the power battery was first loaded into the vehicle and the current date. The calculation logic of the battery daily average mileage is as follows:

[0082] First, select a power battery and its corresponding target vehicle, and extract the mileage m of the target vehicle before the power battery is replaced with the target vehicle. i_start , and the mileage of the target vehicle when the power battery is replaced from the target vehicle m i_stop , then the mileage of the power battery on the target vehicle is:

[0083] m i =m i_stop -m i_start

[0084] In the above formula, m i Indicates the mileage of the power battery on the target vehicle, m i_start Indicates the mileage of the target vehicle before the power battery is replaced with the target vehicle, m i_stop Indicates the mileage of the target vehicle when the power battery is replaced from the target vehicle.

[0085] Then, the mileage of the power battery on all target vehicles is counted to obtain the total mileage of the power battery. The calculation formula is as follows:

[0086] total_mileage = sum(m i )

[0087] In the above formula, total_mileage represents the total mileage of the power battery.

[0088] Finally, the average daily mileage is calculated based on the total mileage and service time of the power battery. The calculation formula is as follows:

[0089]

[0090] In the above formula, avg_mileage_daily represents the average daily mileage of the power battery, and service_days represents the service time of the power battery.

[0091] In the embodiment of the present invention, a battery charging event in which the maximum charging current is greater than 30A is identified as fast charging, and a battery charging event in which the maximum charging current is less than or equal to 30A is identified as slow charging. The calculation formula for the battery fast charging energy replenishment ratio is:

[0092]

[0093] In the above formula, K1 represents the battery fast charging ratio, C1 represents the total charging capacity of all battery fast charging events, and C represents the total charging capacity.

[0094] The calculation formula for the battery slow charging energy ratio is as follows:

[0095]

[0096] In the above formula, K2 represents the battery slow charging energy replenishment ratio, and C2 represents the total charging capacity of all battery slow charging events.

[0097] In the embodiment of the present invention, a high state of charge is determined as a battery state of charge of 80%-100%, a medium state of charge is determined as a battery state of charge of 30%-80%, and a low state of charge is determined as a battery state of charge of 0%-30%. The battery high state of charge rest time ratio is the ratio of the high state of charge rest time to the total rest time, the battery medium state of charge rest time ratio is the ratio of the medium state of charge rest time to the total rest time, and the battery low state of charge rest time ratio is the ratio of the low state of charge rest time to the total rest time.

[0098] The calculation formula for the average charging rate is:

[0099]

[0100] In the above formula, P represents the average charging rate, H represents the total charging time, and E represents the rated capacity of the power battery.

[0101] The average charging time is calculated as follows:

[0102]

[0103] In the above formula, h represents the average charging time, and Z represents the total charging events.

[0104] In the embodiment of the present invention, the main operation area refers to the area where the battery has the most operation time, which can be accurate to the province. The current battery health status can be estimated based on the machine learning model.

[0105] S320: Perform correlation analysis based on the battery characteristic parameters and the battery health status to obtain key characteristics of the battery life.

[0106] The key characteristics of battery life are important parameters for evaluating the health status of batteries, predicting battery life, and formulating reasonable battery management strategies. The Pearson correlation coefficient method can be used to perform correlation analysis on battery characteristic parameters and battery health status, and extract the top three positively correlated characteristics other than calendar time, service time, and main operating area as key characteristics of battery life. The Pearson correlation coefficient formula is:

[0107]

[0108] In the above formula, x i represents the i-th eigenvalue of a battery characteristic parameter, y i The i-th eigenvalue representing the battery health status, represents the mean eigenvalue of a battery characteristic parameter, y represents the mean eigenvalue of the battery health status, and n represents the number of eigenvalues.

[0109] In the embodiment of the present invention, the average daily mileage, the fast charging ratio and the high state of charge static ratio can be determined as the key characteristics of battery life through correlation analysis.

[0110] S330. Construct a power battery data table according to key characteristics of battery life to obtain a power battery portrait.

[0111] According to the battery characteristic parameters extracted in step S310, a data table including a battery coding field, a battery daily average mileage field, a battery fast charging ratio field, and a battery high-charge state static ratio field is established to obtain a power battery portrait.

[0112] S400: Extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait.

[0113] Figure 5 is a fifth schematic diagram of a method for improving the service life of a power battery provided by an embodiment of the present invention. Figure 5 As shown in the figure, the construction of vehicle portrait includes the following steps:

[0114] S410: Extract features from the vehicle data set to obtain vehicle operation features.

[0115] In the embodiment of the present invention, the vehicle data set can be extracted by the same method as the power battery data set to obtain vehicle operation characteristics. The vehicle operation characteristics include but are not limited to vehicle VIN code, vehicle service time, vehicle main driving area, vehicle average daily mileage, vehicle fast charging and replenishment ratio, vehicle slow charging and replenishment ratio, vehicle high charge state static time ratio and other parameters.

[0116] The vehicle service time represents the time difference between the vehicle's first networking date and the current date. The vehicle's main driving area represents the area where the vehicle has the most running time. This area can be accurate to the province. The calculation formula for the vehicle's average daily mileage is as follows:

[0117]

[0118] In the above formula, A represents the average daily mileage of the vehicle, S represents the total mileage of the vehicle, and D represents the service time of the vehicle.

[0119] In the embodiment of the present invention, a vehicle charging event in which the maximum charging current is greater than 30A is identified as fast charging, a vehicle charging event in which the maximum charging current is less than or equal to 30A is identified as slow charging, the vehicle fast charging energy replenishment ratio represents the ratio of the total charging capacity to the total charging capacity in the vehicle fast charging event, and the vehicle slow charging energy replenishment ratio represents the ratio of the total charging capacity to the total charging capacity in the vehicle slow charging event. The high charge state is identified as the vehicle battery charge state of 80%-100%, and the vehicle high charge state static time ratio represents the ratio of the vehicle battery high charge state static time to the total static time.

[0120] S420: construct a vehicle operation data table according to the vehicle operation characteristics to obtain a vehicle portrait.

[0121] In an embodiment of the present invention, based on the vehicle operation characteristics extracted in step S410, a data table including fields such as the vehicle VIN code, the vehicle's average daily mileage, the vehicle's fast charging ratio, and the vehicle's high-charge state static time ratio is established to obtain a vehicle portrait.

[0122] S500: Perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0123] In an embodiment of the present invention, feature matching is performed based on the power battery portrait and the vehicle portrait, and a suitable power battery is selected for the vehicle to be replaced in the battery swap station to optimize and adjust the operating conditions of the power battery, thereby achieving the purpose of extending the service life of the power battery. Figure 6 6 is a schematic diagram of a method for improving the service life of a power battery according to an embodiment of the present invention. Figure 6 As shown, feature matching specifically includes the following steps:

[0124] S510. Obtain multiple key battery life characteristics of each target power battery according to the power battery portrait, where the target power battery is a power battery that has been fully charged in the battery swap station.

[0125] Optionally, the average daily mileage, fast charging ratio and high state of charge static time ratio of each target power battery in the battery swap station are obtained based on the power battery portrait. The target power battery may be a fully charged power battery in the battery swap station.

[0126] S520. Obtain vehicle operation characteristics of the vehicle to be replaced based on the vehicle portrait.

[0127] Optionally, the average daily mileage of the vehicle to be replaced, the proportion of fast-charging energy replenishment of the vehicle, and the proportion of the vehicle's static time in a high-charge state are obtained based on the vehicle portrait.

[0128] S530: sum the vehicle operation characteristics with the multiple key battery life characteristics to obtain multiple characteristic sums, which at least include the sum of the average daily mileage, the sum of the fast charging proportions, and the sum of the high-charge state static time proportions.

[0129] In an embodiment of the present invention, the average daily mileage of the vehicle to be replaced is summed with the average daily mileage of each target power battery, and multiple sums of average daily mileages can be obtained. Similarly, the vehicle fast charging and replenishment ratio of the vehicle to be replaced is summed with the battery fast charging and replenishment ratio of each target power battery, and multiple sums of average daily mileages can be obtained. The vehicle high-charge state rest time ratio of the vehicle to be replaced is summed with the battery high-charge state rest time ratio of each target power battery, and multiple sums of high-charge state rest time ratios can be obtained.

[0130] S540, sorting the total daily average mileage, the total fast charging energy replenishment ratio, and the total high charge state rest time ratio to obtain a total daily average mileage sequence, a total fast charging energy replenishment ratio sequence, and a total high charge state rest time ratio sequence.

[0131] Optionally, sort the sums of multiple daily average mileages from large to small to obtain a sequence of daily average mileage sums, sort the sums of multiple fast charging replenishment ratios from large to small to obtain a sequence of fast charging replenishment ratio sums, and sort the sums of multiple high-charge state stationary time ratios from large to small to obtain a sequence of high-charge state stationary time ratio sums.

[0132] S550. If the difference between the maximum and minimum values ​​in the daily average mileage total sequence is greater than a first preset threshold, the target power battery corresponding to the minimum value in the daily average mileage total sequence is selected as the battery replacement matching result.

[0133] The first preset threshold can be set according to actual conditions. In the embodiment of the present invention, the first preset threshold is 20% of the average value of the daily average mileage sum sequence. If the difference between the maximum value and the minimum value in the daily average mileage sum sequence is greater than 20% of the average value, the target power battery corresponding to the minimum value in the daily average mileage sum sequence is selected to replace the power battery of the vehicle to be replaced.

[0134] S560. If the difference between the maximum and minimum values ​​in the total sequence of average daily mileage is not greater than the first set threshold, then compare whether the difference between the maximum and minimum values ​​in the total sequence of fast charging and replenishing ratios is greater than the second preset threshold. If it is greater than the second preset threshold, select the target power battery corresponding to the minimum value in the total sequence of fast charging and replenishing ratios as the battery replacement matching result.

[0135] The second preset threshold can also be set according to actual conditions. In the embodiment of the present invention, the second preset threshold can be 10% of the average value of the sum sequence of fast charging and energy replenishment ratios. If the difference between the maximum and minimum values ​​in the sum sequence of daily average mileage is not greater than 20% of the average value, but the difference between the maximum and minimum values ​​in the sum sequence of fast charging and energy replenishment ratios is greater than 10% of the average value, the target power battery corresponding to the minimum value in the sum sequence of fast charging and energy replenishment ratios is selected to replace the power battery of the vehicle to be replaced.

[0136] S570. If the difference between the maximum and minimum values ​​in the total sequence of fast charging energy replenishment ratios is not greater than the second preset threshold, then compare whether the difference between the maximum and minimum values ​​in the total sequence of high charge state rest time ratios is greater than the third preset threshold. If it is greater than the third preset threshold, select the target power battery corresponding to the minimum value in the total sequence of high charge state rest time ratios as the battery replacement matching result.

[0137] The third preset threshold can also be set according to actual conditions. In the embodiment of the present invention, the third preset threshold can be 10% of the average value of the sum of the high state of charge rest time ratio sequence. If the difference between the maximum and minimum values ​​in the sum of the fast charging and energy replenishment ratio sequence is not greater than 10% of the average value, but the difference between the maximum and minimum values ​​in the sum of the high state of charge rest time ratio sequence is greater than 10% of the average value, then the target power battery corresponding to the minimum value in the sum of the high state of charge rest time ratio sequence is selected to replace the power battery of the vehicle to be replaced.

[0138] S580. If the difference between the maximum and minimum values ​​in the sequence of the sum of the ratios of the high-charge state rest time is not greater than the third preset threshold, a target power battery is arbitrarily selected as the battery replacement matching result.

[0139] If the difference between the maximum and minimum values ​​in the sum of the ratios of the high-charge state static time is not greater than 10% of the average value, and no suitable target power battery is found according to the above matching steps, a free matching strategy can be adopted to select any target power battery for battery replacement in the vehicle to be replaced.

[0140] The method for improving the service life of a power battery provided by an embodiment of the present invention comprehensively considers the relationship between the power battery capacity attenuation law and the power battery use conditions, establishes a power battery portrait and a vehicle portrait matching method, and preferentially matches power batteries with less usage to vehicles with more demand, and matches power batteries with more usage to vehicles with less demand, so as to achieve the convergence of the overall power battery portrait conditions. By accurately matching the power battery portrait with the vehicle portrait, it is ensured that the use conditions of the power battery match its optimal working range, avoiding the rapid capacity attenuation caused by the power battery being frequently in extreme conditions, thereby significantly improving the overall use efficiency and service life of the power battery.

[0141] Example 2

[0142] Based on the same technical concept as the above method embodiment 1, the embodiment of the present invention provides a device for improving the service life of a power battery. Figure 7 is a schematic diagram of the structure of a device for improving the service life of a power battery provided by an embodiment of the present invention, such as Figure 7 As shown, the device 700 for improving the service life of a power battery includes:

[0143] The data set construction module 710 is used to construct an initial vehicle data set and an initial power battery data set according to the vehicle operation data, the power battery replacement data and the charge and discharge data at the power battery replacement station;

[0144] The data processing module 720 is used to perform data preprocessing on the initial vehicle data set and the initial power battery data set to obtain the vehicle data set and the power battery data set;

[0145] A battery portrait building module 730 is used to extract key features of battery life according to a power battery data set to obtain a power battery portrait;

[0146] The vehicle portrait construction module 740 is used to extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait;

[0147] The portrait matching module 750 is used to perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0148] The device for improving the service life of a power battery provided in an embodiment of the present invention effectively extends the service life of the power battery, reduces the frequency of replacing the power battery, and directly reduces the cost of updating the power battery. The optimized power battery use strategy helps to reduce vehicle downtime caused by power battery failure, thereby reducing the cost of repair and maintenance, and improving operational efficiency and economic benefits.

[0149] It can be understood that the implementation method of the method for improving the service life of the power battery described in the above-mentioned embodiment 1 is also applicable to this embodiment and can achieve the same technical effect, so it will not be repeated here.

[0150] Example 3

[0151] Based on the same concept, an embodiment of the present invention further provides an electronic device, Figure 8 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 8As shown, the electronic device 800 may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the steps of the method for improving the service life of the power battery as described in the above embodiments. For example, it includes:

[0152] S100, constructing an initial vehicle data set and an initial power battery data set according to the vehicle's operating data, the power battery's battery replacement data at the battery replacement station, and the charging and discharging data.

[0153] S200 , performing data preprocessing on an initial vehicle data set and an initial power battery data set to obtain a vehicle data set and a power battery data set.

[0154] S300. Extract key features of battery life according to the power battery data set to obtain a power battery portrait.

[0155] S400: Extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait.

[0156] S500: Perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0157] The processor 810 may be a central processing unit (CPU). The processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0158] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0159] The memory 830 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0160] Example 4

[0161] Based on the same concept, an embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, and the computer program includes at least one code segment, which can be executed by a main control device to control the main control device to implement the steps of the method for improving the service life of the power battery as described in the above embodiments. For example, it includes:

[0162] S100, constructing an initial vehicle data set and an initial power battery data set according to the vehicle's operating data, the power battery's battery replacement data at the battery replacement station, and the charging and discharging data.

[0163] S200 , performing data preprocessing on an initial vehicle data set and an initial power battery data set to obtain a vehicle data set and a power battery data set.

[0164] S300. Extract key features of battery life according to the power battery data set to obtain a power battery portrait.

[0165] S400: Extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait.

[0166] S500: Perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

[0167] Based on the same technical concept, an embodiment of the present invention further provides a computer program, which is used to implement the above method embodiment when executed by a main control device.

[0168] The computer program may be stored in whole or in part on a computer-readable storage medium packaged with the processor, or may be stored in whole or in part on a memory not packaged with the processor.

[0169] Based on the same technical concept, an embodiment of the present invention further provides a processor, which is used to implement the above method embodiment. The above processor can be a chip.

[0170] In summary, the method, device, equipment and storage medium for improving the service life of power batteries provided by the present invention, by comprehensively considering the relationship between the power battery capacity attenuation law and the power battery usage conditions, establishes a power battery portrait and a vehicle portrait matching method, and preferentially matches power batteries with less usage to vehicles with more demand, and matches power batteries with more usage to vehicles with less demand, so as to achieve the convergence of the overall power battery portrait conditions. By accurately matching the power battery portrait with the vehicle portrait, it is ensured that the power battery usage conditions match its optimal working range, and the rapid capacity attenuation caused by frequent extreme conditions of the power battery is avoided, thereby significantly improving the overall use efficiency and service life of the power battery. Due to the extension of the service life of the power battery, the frequency of replacing the power battery is reduced, which directly reduces the cost of power battery renewal. The optimized power battery use strategy helps to reduce vehicle downtime caused by power battery failure, thereby reducing the cost of repair and maintenance, and improving operational efficiency and economic benefits.

[0171] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0172] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0173] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for increasing the service life of a power battery, characterized in that: The method comprises: Construct an initial vehicle dataset and an initial power battery dataset based on the vehicle's operating data, the power battery swapping data at the power battery swapping station, and the charging and discharging data; Performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain a vehicle data set and a power battery data set; Extracting key features of battery life according to the power battery data set to obtain a power battery portrait; Extracting vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait; Feature matching is performed based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

2. The method for increasing the service life of a power battery according to claim 1, characterized in that: The extracting key features of battery life according to the power battery data set to obtain a power battery portrait includes: Extracting features from the power battery data set to obtain battery feature parameters; Performing correlation analysis based on the battery characteristic parameters and the battery health status to obtain key characteristics of battery life; A power battery data table is constructed according to the key characteristics of the battery life to obtain the power battery portrait.

3. The method for increasing the service life of a power battery according to claim 2, characterized in that: The step of extracting vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait includes: Extracting features from the vehicle data set to obtain vehicle operation features; A vehicle operation data table is constructed according to the vehicle operation characteristics to obtain the vehicle portrait.

4. The method for increasing the service life of a power battery according to claim 3, characterized in that: The key characteristics of battery life include at least the average daily mileage of the battery, the proportion of fast charging and replenishment of the battery, and the proportion of the battery's stationary time in a high state of charge. The vehicle operation characteristics include at least the average daily mileage of the vehicle, the proportion of fast charging and replenishment of the vehicle, and the proportion of the vehicle's stationary time in a high state of charge.

5. The method for increasing the service life of a power battery according to claim 4, characterized in that: The performing feature matching according to the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced includes: Obtaining a plurality of key battery life characteristics of each target power battery according to the power battery portrait, wherein the target power battery is a power battery that has been fully charged in the battery swap station; Obtaining the vehicle operation characteristics of the vehicle to be replaced according to the vehicle portrait; Summing the vehicle operation characteristics with the plurality of key battery life characteristics respectively to obtain a plurality of characteristic sums, wherein the characteristic sums include at least the sum of the average daily mileage, the sum of the fast charging and replenishing ratios, and the sum of the high-charge state static time ratios; According to the sum of the daily average mileage, the sum of the fast charging energy replenishment ratio, and the sum of the high charge state static time ratio, they are sorted respectively to obtain a sequence of the sum of the daily average mileage, a sequence of the sum of the fast charging energy replenishment ratio, and a sequence of the sum of the high charge state static time ratio; If the difference between the maximum value and the minimum value in the daily average mileage sum sequence is greater than a first preset threshold, the target power battery corresponding to the minimum value in the daily average mileage sum sequence is selected as the battery replacement matching result; If the difference between the maximum value and the minimum value in the sum sequence of the average daily mileage is not greater than the first set threshold, then compare whether the difference between the maximum value and the minimum value in the sum sequence of the fast charging energy replenishment ratio is greater than the second preset threshold. If it is greater than the second preset threshold, select the target power battery corresponding to the minimum value in the sum sequence of the fast charging energy replenishment ratio as the battery replacement matching result; If the difference between the maximum value and the minimum value in the sum sequence of the fast charging energy replenishment ratio is not greater than the second preset threshold, then compare whether the difference between the maximum value and the minimum value in the sum sequence of the high charge state rest time ratio is greater than the third preset threshold; if it is greater than the third preset threshold, select the target power battery corresponding to the minimum value in the sum sequence of the high charge state rest time ratio as the battery replacement matching result; If the difference between the maximum and minimum values ​​in the sequence of the sum of the ratios of the high-charge state rest time is not greater than the third preset threshold, an arbitrarily selected target power battery is used as the battery replacement matching result.

6. The method for increasing the service life of a power battery according to claim 1, characterized in that: The initial vehicle data set and the initial power battery data set are constructed according to the vehicle operation data, the power battery replacement data at the power battery replacement station, and the charge and discharge data, including: Acquire the operation data of the vehicle and construct the initial vehicle data set according to the vehicle identification number; The battery replacement data and the charge and discharge data of the power battery are acquired, and the initial power battery data set is constructed according to the battery coding in combination with the operation data.

7. The method for increasing the service life of a power battery according to claim 1, characterized in that: The performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain the vehicle data set and the power battery data set includes: Performing data cleaning and standardization processing on the initial vehicle data set and the initial power battery data set respectively; Dividing the initial vehicle data set into events according to the working state of the vehicle to obtain the vehicle data set; The initial power battery data set is divided into events according to the working state of the power battery to obtain the power battery data set.

8. A device for increasing the service life of a power battery, characterized in that: The device comprises: A data set construction module, used to construct an initial vehicle data set and an initial power battery data set based on the vehicle's operating data, the power battery's battery swapping data at the battery swapping station, and the charging and discharging data; A data processing module, used for performing data preprocessing on the initial vehicle data set and the initial power battery data set to obtain a vehicle data set and a power battery data set; A battery profile building module, used to extract key features of battery life according to the power battery data set to obtain a power battery profile; A vehicle portrait construction module, used to extract vehicle operation characteristics according to the vehicle data set to obtain a vehicle portrait; The portrait matching module is used to perform feature matching based on the power battery portrait and the vehicle portrait to obtain a battery replacement matching result between the power battery and the vehicle to be replaced.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: The processor executes the computer program to implement the method for improving the service life of a power battery as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for improving the service life of a power battery as described in any one of claims 1 to 7 is implemented.

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