A method and device for determining battery attenuation based on integrated area characteristics

Abstract

The present invention provides a method and device for determining the degree of battery attenuation based on integral area characteristics, which relates to the technical field of batteries, including: obtaining an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of a specified vehicle model; determining a target SOC interval based on the current charging parameter curve; calculating a first integral area of ​​the current charging parameter curve in the target SOC interval, and a second integral area of ​​the initial charging parameter curve in the target SOC interval; determining a battery attenuation coefficient of the target vehicle based on the first integral area and the second integral area. The method determines the battery attenuation coefficient of the target vehicle with reference to the second integral area of ​​the initial charging parameter curve of the specified vehicle model in the target SOC interval, which can more accurately reflect the actual attenuation of the battery, thereby improving the accuracy of the battery attenuation degree calculation result.

Description

Technical Field

[0001] The present invention relates to the technical field of batteries, and in particular to a method and device for determining the degree of battery attenuation based on integrated area characteristics. Background Art

[0002] In the prior art, the method for determining the degree of battery attenuation is mainly to use the ratio of the current battery capacity to the nominal capacity. However, the method for measuring the current battery capacity is relatively cumbersome, time-consuming, requires a harsh measurement environment, and is costly. In addition, there is a certain error between the nominal capacity and the actual capacity of a new battery. Therefore, the ratio of the current battery capacity to the nominal capacity is difficult to accurately reflect the degree of battery attenuation. Summary of the invention

[0003] The purpose of the present invention is to provide a method and device for determining the degree of battery attenuation based on integrated area characteristics, so as to alleviate the technical problem of low accuracy of calculation results in the existing method for determining the degree of battery attenuation.

[0004] In a first aspect, the present invention provides a method for determining the degree of battery attenuation based on an integral area feature, comprising: obtaining an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of the specified vehicle model; wherein the initial charging parameter curve is a curve determined based on charging log data of valid charging orders of multiple vehicles of the specified vehicle model within a specified time period after registration; the current charging parameter curve is a curve determined based on charging log data of valid charging orders of the target vehicle within a preset time period before the current time point; the target vehicle represents a vehicle having a number of valid charging orders greater than a preset threshold within the preset time period; determining a target SOC interval based on the current charging parameter curve; wherein the target SOC interval represents a SOC interval in which the number of orders participating in the curve calculation is greater than a specified threshold; calculating the integral area of ​​the current charging parameter curve in the target SOC interval to obtain a first integral area, and calculating the integral area of ​​the initial charging parameter curve in the target SOC interval to obtain a second integral area; determining the battery attenuation coefficient of the target vehicle based on the first integral area and the second integral area.

[0005] In an optional embodiment, obtaining an initial charging parameter curve for a specified vehicle model includes: obtaining charging log data of valid charging orders for multiple vehicles of the specified vehicle model within a first time period; wherein the first time period represents a specified time period starting from a vehicle registration date; calculating the charging amount required for each unit increase in SOC in a first target order based on a sliding average algorithm and the charging log data, and obtaining a SOC-Power value pair for the first target order; wherein the first target order represents any valid charging order within the first time period; calculating an average value of the charging amount required for each unit increase in SOC of the specified vehicle model based on the SOC-Power value pairs of all valid charging orders within the first time period; and determining the initial charging parameter curve for the specified vehicle model based on the average value of the charging amount required for each unit increase in SOC of the specified vehicle model.

[0006] In an optional embodiment, obtaining the current charging parameter curve of the target vehicle of the specified vehicle model includes: obtaining charging log data of valid charging orders for the target vehicle within a second time period; wherein the second time period represents a preset time period with the current time point as the end time; calculating the charging amount required for each unit SOC increase in the second target order based on a sliding average algorithm and the charging log data, and obtaining a SOC-Power value pair of the second target order; wherein the second target order represents any order among the valid charging orders within the second time period; calculating the average value of the charging amount required for each unit SOC increase of the target vehicle based on the SOC-Power value pairs of all valid charging orders within the second time period; and determining the current charging parameter curve of the target vehicle based on the average value of the charging amount required for each unit SOC increase of the target vehicle.

[0007] In an optional embodiment, determining the battery attenuation coefficient of the target vehicle based on the first integral area and the second integral area includes: calculating the ratio of the first integral area to the second integral area to obtain a ratio result; and determining the battery attenuation coefficient of the target vehicle based on the ratio result.

[0008] In an optional embodiment, the battery attenuation coefficient of the target vehicle is determined based on the ratio result, including: if the ratio result is less than or equal to 1, then the ratio result is used as the battery attenuation coefficient of the target vehicle; if the ratio result is greater than 1, then the battery attenuation coefficient of the target vehicle is 1.

[0009] In an optional embodiment, the screening conditions for the valid charging order include: the charging time is within a preset time range, the battery SOC increment before and after charging is greater than a first threshold, and the SOC increment per unit time during charging is less than a second threshold.

[0010] In a second aspect, the present invention provides a battery attenuation degree determination device based on an integral area feature, comprising: a first acquisition module, used to acquire an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of the specified vehicle model; wherein the initial charging parameter curve is a curve determined based on charging log data of valid charging orders of multiple vehicles of the specified vehicle model within a specified time period after registration; the current charging parameter curve is a curve determined based on charging log data of valid charging orders of the target vehicle within a preset time period before the current time point; the target vehicle represents a vehicle whose number of valid charging orders within the preset time period is greater than a preset threshold; a first determination module, used to determine a target SOC interval based on the current charging parameter curve; wherein the target SOC interval represents a SOC interval whose number of orders participating in the curve calculation is greater than a specified threshold; a first calculation module, used to calculate the integral area of ​​the current charging parameter curve in the target SOC interval to obtain a first integral area, and to calculate the integral area of ​​the initial charging parameter curve in the target SOC interval to obtain a second integral area; a second determination module, used to determine the battery attenuation coefficient of the target vehicle based on the first integral area and the second integral area.

[0011] In a third aspect, the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the method for determining the degree of battery attenuation based on the integral area feature described in any one of the aforementioned embodiments are implemented.

[0012] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method for determining the degree of battery attenuation based on the integral area feature described in any one of the aforementioned embodiments is implemented.

[0013] The present invention provides a method for determining the degree of battery attenuation based on integral area characteristics. This method no longer relies on the nominal capacity index of the battery when calculating the degree of battery attenuation. The battery attenuation is no longer based on the nominal capacity, but on the second integral area of ​​the initial charging parameter curve of the specified vehicle model in the target soc interval as a reference. The battery attenuation coefficient of the target vehicle is determined based on the first integral area and the second integral area of ​​the current charging parameter curve of the target vehicle in the target soc interval. Therefore, this method can more accurately reflect the actual attenuation of the battery, thereby improving the accuracy of the battery attenuation calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A flowchart of a method for determining the degree of battery attenuation based on integrated area characteristics provided by an embodiment of the present invention;

[0016] Figure 2 A schematic diagram of the soc variation interval of 5 valid charging orders provided in an embodiment of the present invention;

[0017] Figure 3 A schematic diagram of a current charging parameter curve and an initial charging parameter curve provided by an embodiment of the present invention;

[0018] Figure 4 A functional module diagram of a battery attenuation degree determination device based on integrated area characteristics provided by an embodiment of the present invention;

[0019] Figure 5 A schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] In the prior art, the method of using the ratio of the current battery capacity to the nominal capacity to judge the degree of battery attenuation has the disadvantages of cumbersome measurement methods, long time consumption and high cost. In addition, there is a certain error between the nominal capacity and the actual capacity of a new battery, and the ratio of the two is difficult to accurately reflect the degree of battery attenuation. In addition, there is a certain error in the battery capacity assessment based on the model. At the same time, in order to make the assessment result more accurate, the battery needs to have a large number of historical charging orders. In addition, there is a certain error between the nominal capacity and the actual capacity of a new battery, which will also reduce the accuracy of the attenuation calculation.

[0024] In view of this, an embodiment of the present invention proposes a method for determining the degree of battery attenuation based on the integral area feature to ensure the accuracy of the calculation of the degree of battery attenuation while reducing the complexity and cost of the calculation of the degree of battery attenuation.

[0025] Embodiment 1

[0026] Figure 1 A flowchart of a method for determining the degree of battery attenuation based on integrated area characteristics provided by an embodiment of the present invention, such as Figure 1 As shown, the method specifically comprises the following steps:

[0027] Step S102, obtaining an initial charging parameter curve of a specified vehicle type and a current charging parameter curve of a target vehicle of the specified vehicle type.

[0028] Among them, the initial charging parameter curve is a curve determined based on the charging log data of valid charging orders of multiple vehicles of a specified model within a specified time period after registration; the current charging parameter curve is a curve determined based on the charging log data of valid charging orders of the target vehicle within a preset time period before the current time point; the target vehicle represents a vehicle whose number of valid charging orders within the preset time period is greater than a preset threshold.

[0029] In order to determine the battery attenuation degree of the target vehicle, the embodiment of the present invention needs to obtain the initial charging parameter curve of the specified vehicle model to which the target vehicle belongs, as well as the current charging parameter curve of the target vehicle. The charging parameter curve is used to characterize the corresponding relationship between the battery soc change and the required charging power. Optionally, the charging parameter curve includes: soc-power curve.

[0030] In an embodiment of the present invention, in order to ensure the accuracy of the initial charging parameter curve, it is necessary to collect the charging log data of valid charging orders of multiple vehicles of a specified model within a specified time period after registration (the charging log data includes battery soc data and corresponding charging amount data). This is because the valid charging orders within a relatively short period of time after the vehicle leaves the factory can more accurately reflect the actual performance of the vehicle's new battery. The embodiment of the present invention does not specifically limit the specified time period and the number of valid charging orders within the time period. Users can set it according to actual needs. In principle, the shorter the specified time period and the more valid charging orders, the better. For example, select the first 100,000 valid charging orders within 6 months after the vehicle registration date.

[0031] In order to ensure the accuracy of the current charging parameter curve of the target vehicle, it is necessary to collect the charging log data of the valid charging orders of the target vehicle within the preset time period before the current time point, because these charging log data can reflect the actual performance of the current battery of the target vehicle. The embodiment of the present invention does not specifically limit the preset time period, but requires that the number of valid charging orders of the target vehicle within the preset time period is greater than the preset threshold (for example, the number of valid charging orders is greater than 5) to ensure the accuracy of the current charging parameter curve. Optionally, the valid charging orders of the target vehicle in the past 180 days are selected.

[0032] In order to reduce the evaluation capacity error and improve the accuracy of the battery attenuation calculation results, before calculating the charging parameter curve, the embodiment of the present invention needs to screen the vehicle's charging orders, select valid charging orders from them, and use the charging log data of the valid charging orders to calculate the charging parameter curve. Among them, the screening conditions for valid charging orders include: the charging time is within the preset time range, the battery soc increment before and after charging is greater than the first threshold, and the soc increment per unit time during the charging process is less than the second threshold.

[0033] The embodiment of the present invention does not specifically limit the values ​​of the above-mentioned preset time range, unit time, first threshold and second threshold, and the user should set them according to the actual situation. Generally, it is necessary to obtain the relationship between deltasoc and deltasoh, the relationship between difTime and deltasoh, and the relationship between maxsocspeed and deltasoh through a large amount of data calculation and then infer. Optionally, the screening conditions for valid charging orders can be: the charging time is greater than 15 minutes and less than 254 minutes, the battery soc increment before and after charging is greater than 0.23soc (23% of the battery capacity), and the soc increment within one minute during the charging process (that is, soc jump) is less than 0.05soc (5% of the battery capacity). In this case, if the soc increment within one minute is greater than or equal to 0.05soc, the charging process is considered abnormal.

[0034] Step S104, determining a target SOC range based on the current charging parameter curve.

[0035] Among them, the target soc interval represents the soc interval in which the number of orders participating in the curve calculation is greater than the specified threshold.

[0036] After obtaining the current charging parameter curve, it is necessary to intercept the SOC interval in the current charging parameter curve where the order quantity is greater than the specified threshold. That is, the SOC interval in which the order quantity involved in the charging parameter curve calculation is less than the specified threshold by default in the embodiment of the present invention is inaccurate and needs to be discarded.

[0037] For ease of understanding, refer to Figure 2 In the example, Figure 2 The SOC variation range of 5 valid charging orders is provided. If the specified threshold is set to 3, the SOC range with less than 3 orders participating in the charging parameter curve calculation is considered inaccurate. Figure 2 The soc interval outside the middle dashed line has at most two overlapping charging orders, so they need to be discarded. Figure 2 The target SOC range is marked at the bottom.

[0038] Step S106, calculating the integral area of ​​the current charging parameter curve in the target SOC interval to obtain a first integral area, and calculating the integral area of ​​the initial charging parameter curve in the target SOC interval to obtain a second integral area.

[0039] Determining the target SOC range is equivalent to limiting the data range involved in the battery attenuation calculation in the charging parameter curve. Next, the first integral area of ​​the current charging parameter curve in the target SOC range and the second integral area of ​​the initial charging parameter curve in the target SOC range can be calculated. Figure 3 A schematic diagram of the current charging parameter curve and the initial charging parameter curve is shown, and the integral areas of the two curves within the dotted line range are calculated respectively.

[0040] Step S108, determining the battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area.

[0041] After calculating the first integral area S1 and the second integral area S2, the battery attenuation coefficient of the target vehicle can be determined according to the degree of difference between S1 and S2. Obviously, the smaller the difference between S1 and S2, the lower the battery loss of the target vehicle. Therefore, the battery attenuation coefficient of the target vehicle can be determined based on S1 and S2. The embodiment of the present invention does not specifically limit the calculation method of the battery attenuation coefficient, and the user can set it according to actual needs, such as S1 / S2, (S2-S1) / S2, etc., as long as it can correctly reflect the relationship between the difference between the integral areas and the battery loss.

[0042] An embodiment of the present invention provides a method for determining the degree of battery attenuation based on integral area characteristics. This method no longer relies on the nominal capacity index of the battery when calculating the degree of battery attenuation. The battery attenuation is no longer based on the nominal capacity, but on the second integral area of ​​the initial charging parameter curve of the specified vehicle model in the target soc range as a reference. The battery attenuation coefficient of the target vehicle is determined based on the first integral area and the second integral area of ​​the current charging parameter curve of the target vehicle in the target soc range. Therefore, this method can more accurately reflect the actual attenuation of the battery, thereby improving the accuracy of the battery attenuation calculation results.

[0043] In an optional implementation, in the above step S102, obtaining the initial charging parameter curve of the specified vehicle model specifically includes the following steps:

[0044] Step S1021, obtaining charging log data of valid charging orders for multiple vehicles of a specified model within a first time period.

[0045] The first time period represents a specified time period starting from the vehicle registration date.

[0046] Step S1022, based on the sliding average algorithm and the charging log data, calculate the charging amount required for each unit SOC increase in the first target order to obtain the SOC-power value pair of the first target order.

[0047] After acquiring the charging log data of valid charging orders of multiple vehicles in the first time period, the charging amount required for each unit SOC increase of the order is calculated according to the charging log data of the first target order. The smaller the unit SOC, the higher the accuracy of the charging parameter curve. The first target order refers to any order among the valid charging orders in the first time period.

[0048] Generally, the existing charging log data can only accurately calculate the charging amount required for each 0.02soc increase. The embodiment of the present invention uses a sliding average algorithm to process the charging log data, which can accurately calculate the charging amount required for each 0.01soc increase. Optionally, the unit soc is 0.01soc; when calculating the sliding average, the step length is 0.03soc before and after the center position, that is, the size of the sliding window is 0.07soc.

[0049] If the unit soc is 0.01soc, and the battery in the first target order is 0.5soc before charging and 0.9soc after charging, then the calculation can be used to obtain the charging amount required for each increase of 0.01soc during the change from 0.5soc to 0.9soc, that is, the soc-power value pair of the first target order is obtained: {power1|0.5soc→0.51soc, power2|0.51soc→0.52soc, …, power 39 |0.88soc→0.89soc, power 40 |0.89soc→0.9soc}.

[0050] Step S1023, based on the soc-power value pairs of all valid charging orders in the first time period, calculate the average value of the charging amount required for each unit soc increase of the specified vehicle model.

[0051] According to the method in the above step S1022, the soc-power value pairs of all valid charging orders in the first time period can be calculated, and then based on the above multiple groups of soc-power value pairs, the average value of the charging amount required for each unit soc increase in the process of the vehicle battery increasing from 0 soc to 1 soc can be calculated.

[0052] For example, if the unit soc is 0.01soc, then if you want to calculate the average amount of charge required to upgrade from 0.06soc to 0.07soc, you first need to determine all the specified orders that include batteries upgraded from 0.06soc to 0.07soc, and then average the amount of charge required for all specified orders to upgrade from 0.06soc to 0.07soc, and you can get the average amount of charge required for the specified model to upgrade from 0.06soc to 0.07soc. And so on, calculate the average amount of charge required for each 0.01soc upgrade of the specified model.

[0053] Step S1024, determining the initial charging parameter curve of the specified vehicle model based on the average value of the charging amount required for each unit SOC increase of the specified vehicle model.

[0054] In the embodiment of the present invention, the horizontal axis of the charging parameter curve is soc, and the vertical axis is the charging amount power. According to the result obtained in step S1023, the initial charging parameter curve of the specified vehicle model can be fitted.

[0055] In an optional implementation, in the above step S102, obtaining the current charging parameter curve of the target vehicle of the specified vehicle model specifically includes the following steps:

[0056] Step S102a, obtaining charging log data of valid charging orders for the target vehicle within the second time period.

[0057] The second time period represents a preset time period with the current time point as the end time.

[0058] Step S102b, based on the sliding average algorithm and the charging log data, calculate the charging amount required for each unit SOC increase in the second target order to obtain the SOC-power value pair of the second target order.

[0059] The second target order refers to any valid charging order within the second time period.

[0060] Step S102c, based on the soc-power value pairs of all valid charging orders in the second time period, calculate the average value of the charging amount required for each unit soc increase of the target vehicle.

[0061] Step S102d, determining the current charging parameter curve of the target vehicle based on the average value of the charging amount required for each unit SOC increase of the target vehicle.

[0062] The data processing object of steps S1021 to S1024 is the charging log data of valid charging orders generated by multiple vehicles of the specified model in the first time period, while the data processing object in steps S102a to S102d is the charging log data of valid charging orders generated by the target vehicle in the second time period. Although the data belongs to different objects, the data processing method of steps S102b to S102d is the same as the method of steps S1022-S1024 above. For details, please refer to the above and will not be repeated here.

[0063] In an optional implementation, the above step S108, determining the battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area, specifically includes the following steps:

[0064] Step S1081, calculating the ratio of the first integrated area to the second integrated area to obtain a ratio result.

[0065] Step S1082, determining the battery attenuation coefficient of the target vehicle based on the ratio result.

[0066] Optionally, the battery attenuation coefficient of the target vehicle is determined based on the ratio result, specifically including the following contents:

[0067] If the ratio result is less than or equal to 1, the ratio result is used as the battery attenuation coefficient of the target vehicle;

[0068] If the ratio result is greater than 1, the battery attenuation coefficient of the target vehicle is 1.

[0069] Given that the initial charging parameter curve of a specified vehicle model is obtained by averaging the soc-power value pairs of valid charging orders for multiple vehicles under the vehicle model, and the initial battery state of each vehicle is different, if the target vehicle corresponding to the current charging parameter curve is a vehicle with a better battery state (for example, the current time of evaluating battery attenuation is short from the time the vehicle left the factory), then the ratio of S1 / S2 may be greater than 1, and it is assumed that the battery has not been damaged. In the implementation of the present invention, if the ratio of S1 / S2 is used as the battery attenuation coefficient of the target vehicle, the smaller the battery attenuation coefficient, the greater the battery loss.

[0070] To sum up, the battery attenuation degree determination method provided in the embodiment of the present invention adopts the method of using the second integral area of ​​the initial charging parameter curve of the specified vehicle model in the target soc range as a reference, instead of the traditional method of using the nominal capacity as a reference, and determines the battery attenuation coefficient of the target vehicle based on the first integral area and the second integral area of ​​the current charging parameter curve of the target vehicle in the target soc range. Not only is the step simple and direct, it is also more suitable for large-scale generation applications, and it can also more accurately reflect the actual attenuation of the battery, thereby improving the accuracy of the battery attenuation degree calculation results.

[0071] Embodiment 2

[0072] An embodiment of the present invention further provides a device for determining the degree of battery attenuation based on integrated area features. The device is mainly used to execute the method for determining the degree of battery attenuation based on integrated area features provided in the above-mentioned embodiment 1. The device provided in the embodiment of the present invention is specifically introduced below.

[0073] Figure 4 is a functional module diagram of a battery attenuation degree determination device based on integrated area characteristics provided by an embodiment of the present invention, such as Figure 4 As shown, the device mainly includes: a first acquisition module 10, a first determination module 20, a first calculation module 30, and a second determination module 40, wherein:

[0074] The first acquisition module 10 is used to obtain an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of the specified vehicle model; wherein the initial charging parameter curve is a curve determined based on charging log data of valid charging orders of multiple vehicles of the specified vehicle model within a specified time period after registration; the current charging parameter curve is a curve determined based on charging log data of valid charging orders of the target vehicle within a preset time period before a current time point; the target vehicle represents a vehicle whose number of valid charging orders within a preset time period is greater than a preset threshold.

[0075] The first determination module 20 is used to determine a target SOC interval based on the current charging parameter curve; wherein the target SOC interval represents a SOC interval in which the number of orders participating in the curve calculation is greater than a specified threshold.

[0076] The first calculation module 30 is used to calculate the integral area of ​​the current charging parameter curve in the target soc interval to obtain a first integral area, and to calculate the integral area of ​​the initial charging parameter curve in the target soc interval to obtain a second integral area.

[0077] The second determination module 40 is configured to determine a battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area.

[0078] An embodiment of the present invention provides a battery attenuation degree determination device based on integral area characteristics. When calculating the battery attenuation degree, the device no longer relies on the nominal capacity index of the battery. The battery attenuation is no longer based on the nominal capacity, but takes the second integral area of ​​the initial charging parameter curve of the specified vehicle model in the target soc range as a reference. The battery attenuation coefficient of the target vehicle is determined based on the first integral area and the second integral area of ​​the current charging parameter curve of the target vehicle in the target soc range. Therefore, the device can more accurately reflect the actual attenuation of the battery, thereby improving the accuracy of the battery attenuation degree calculation results.

[0079] Optionally, the screening conditions for valid charging orders include: the charging time is within a preset time range, the battery SOC increment before and after charging is greater than a first threshold, and the SOC increment per unit time during the charging process is less than a second threshold.

[0080] Optionally, the first acquisition module 10 includes:

[0081] The first acquisition unit is used to acquire charging log data of valid charging orders of multiple vehicles of a specified model within a first time period; wherein the first time period represents a specified time period starting from the vehicle registration date.

[0082] The first calculation unit is used to calculate the charging amount required for each unit SOC increase in the first target order based on the sliding average algorithm and the charging log data, and obtain the SOC-power value pair of the first target order; wherein the first target order represents any order among the valid charging orders in the first time period.

[0083] The second calculation unit is used to calculate the average value of the charging amount required for each unit SOC increase of the specified vehicle model based on the SOC-power value pairs of all valid charging orders in the first time period.

[0084] The first determination unit is used to determine an initial charging parameter curve of a specified vehicle model based on an average value of a charging amount required for each unit SOC increase of the specified vehicle model.

[0085] Optionally, the first acquisition module 10 further includes:

[0086] The second acquisition unit is used to obtain the charging log data of the valid charging order of the target vehicle within a second time period; wherein the second time period represents a preset time period with the current time point as the end time.

[0087] The third calculation unit is used to calculate the charging amount required for each unit SOC increase in the second target order based on the sliding average algorithm and the charging log data, and obtain the SOC-power value pair of the second target order; wherein the second target order represents any order among the valid charging orders in the second time period.

[0088] The fourth calculation unit is used to calculate the average value of the charging amount required for each unit SOC increase of the target vehicle based on the SOC-power value pairs of all valid charging orders in the second time period.

[0089] The second determination unit is used to determine a current charging parameter curve of the target vehicle based on an average value of the charging amount required for each unit SOC increase of the target vehicle.

[0090] Optionally, the second determining module 40 includes:

[0091] The fifth calculation unit is used to calculate the ratio of the first integrated area to the second integrated area to obtain a ratio result.

[0092] The third determination unit is used to determine the battery attenuation coefficient of the target vehicle based on the ratio result.

[0093] Optionally, the third determining unit is specifically configured to:

[0094] If the ratio result is less than or equal to 1, the ratio result is used as the battery attenuation coefficient of the target vehicle.

[0095] If the ratio result is greater than 1, the battery attenuation coefficient of the target vehicle is 1.

[0096] Embodiment 3

[0097] See also Figure 5 An embodiment of the present invention provides an electronic device, which includes: a processor 60, a memory 61, a bus 62 and a communication interface 63, wherein the processor 60, the communication interface 63 and the memory 61 are connected via the bus 62; the processor 60 is used to execute an executable module stored in the memory 61, such as a computer program.

[0098] The memory 61 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 63 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0099] The bus 62 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0100] Among them, the memory 61 is used to store programs, and the processor 60 executes the program after receiving the execution instruction. The method executed by the device defined by the process disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 60 or implemented by the processor 60.

[0101] The processor 60 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 60. The above processor 60 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 61, and the processor 60 reads the information in the memory 61 and completes the steps of the above method in combination with its hardware.

[0102] A computer program product of a method and apparatus for determining the degree of battery attenuation based on integrated area characteristics provided in an embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. For specific implementation, please refer to the method embodiment, which will not be repeated here.

[0103] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0104] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention, 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. The computer software product is stored in a storage medium, including several instructions for enabling 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 methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0105] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0106] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0107] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0108] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0109] 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 replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining the degree of battery attenuation based on integral area characteristics, characterized in that: include: Obtaining an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of the specified vehicle model; wherein the initial charging parameter curve is a curve determined based on charging log data of valid charging orders of multiple vehicles of the specified vehicle model within a specified time period after registration; the current charging parameter curve is a curve determined based on charging log data of valid charging orders of the target vehicle within a preset time period before a current time point; the target vehicle represents a vehicle having a number of valid charging orders greater than a preset threshold within the preset time period; Determine a target SOC interval based on the current charging parameter curve; wherein the target SOC interval represents a SOC interval in which the number of orders participating in the curve calculation is greater than a specified threshold; Calculating the integral area of ​​the current charging parameter curve in the target SOC interval to obtain a first integral area, and calculating the integral area of ​​the initial charging parameter curve in the target SOC interval to obtain a second integral area; determining a battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area; Wherein, determining the battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area includes: Calculating a ratio of the first integrated area to the second integrated area to obtain a ratio result; A battery attenuation coefficient of the target vehicle is determined based on the ratio result.

2. The method for determining the battery attenuation degree based on the integral area feature according to claim 1, characterized in that: Get the initial charging parameter curve of the specified vehicle model, including: Obtain charging log data of valid charging orders for multiple vehicles of a specified model within a first time period; wherein the first time period represents a specified time period starting from the vehicle registration date; Based on the sliding average algorithm and the charging log data, the charging amount required for each unit SOC increase in the first target order is calculated to obtain a SOC-power value pair of the first target order; wherein the first target order represents any order among the valid charging orders within the first time period; Calculate the average value of the charging amount required for each unit SOC increase of the specified vehicle model based on the SOC-power value pairs of all valid charging orders in the first time period; An initial charging parameter curve of the specified vehicle type is determined based on an average value of the charging amount required for each unit SOC increase of the specified vehicle type.

3. The method for determining the battery attenuation degree based on the integral area feature according to claim 1, characterized in that: Obtaining a current charging parameter curve of the target vehicle of the specified vehicle type, including: Obtaining charging log data of valid charging orders for the target vehicle within a second time period; wherein the second time period represents a preset time period with the current time point as the end time; Based on the sliding average algorithm and the charging log data, the charging amount required for each unit SOC increase in the second target order is calculated to obtain a SOC-power value pair of the second target order; wherein the second target order represents any order among the valid charging orders within the second time period; Based on the soc-power value pairs of all valid charging orders in the second time period, calculating the average value of the charging amount required for each unit soc increase of the target vehicle; The current charging parameter curve of the target vehicle is determined based on the average value of the charging amount required for each unit SOC increase of the target vehicle.

4. The method for determining the battery attenuation degree based on the integrated area feature according to claim 1, characterized in that: Determining a battery attenuation coefficient of the target vehicle based on the ratio result includes: If the ratio result is less than or equal to 1, the ratio result is used as the battery attenuation coefficient of the target vehicle; If the ratio result is greater than 1, the battery attenuation coefficient of the target vehicle is 1.

5. The method for determining the battery attenuation degree based on the integrated area feature according to claim 1, characterized in that: The screening conditions for the valid charging order include: the charging time is within a preset time range, the battery SOC increment before and after charging is greater than a first threshold, and the SOC increment per unit time during the charging process is less than a second threshold.

6. A battery attenuation degree determination device based on integrated area characteristics, characterized in that: include: A first acquisition module is used to acquire an initial charging parameter curve of a specified vehicle model and a current charging parameter curve of a target vehicle of the specified vehicle model; wherein the initial charging parameter curve is a curve determined based on charging log data of valid charging orders of multiple vehicles of the specified vehicle model within a specified time period after registration; the current charging parameter curve is a curve determined based on charging log data of valid charging orders of the target vehicle within a preset time period before a current time point; the target vehicle represents a vehicle having a number of valid charging orders greater than a preset threshold within the preset time period; A first determination module is used to determine a target SOC interval based on the current charging parameter curve; wherein the target SOC interval represents a SOC interval in which the number of orders participating in the curve calculation is greater than a specified threshold; A first calculation module, configured to calculate an integral area of ​​the current charging parameter curve in the target SOC interval to obtain a first integral area, and to calculate an integral area of ​​the initial charging parameter curve in the target SOC interval to obtain a second integral area; A second determination module, configured to determine a battery attenuation coefficient of the target vehicle based on the first integrated area and the second integrated area; Wherein, the second determination module includes: a fifth calculating unit, configured to calculate a ratio of the first integrated area to the second integrated area to obtain a ratio result; A third determination unit is used to determine the battery attenuation coefficient of the target vehicle based on the ratio result.

7. The battery attenuation degree determination device based on the integrated area feature according to claim 6, characterized in that: The screening conditions for the valid charging order include: the charging time is within a preset time range, the battery SOC increment before and after charging is greater than a first threshold, and the SOC increment per unit time during the charging process is less than a second threshold.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method for determining the degree of battery attenuation based on the integrated area feature according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method for determining the degree of battery attenuation based on the integral area feature according to any one of claims 1 to 5 is implemented.

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