Battery consumption evaluation system and method

Abstract

The present invention discloses a battery consumption evaluation system and method, and relates to the technical field of battery consumption evaluation, including: analyzing the power consumption data of a battery to obtain a battery consumption curve; extracting the consumption characteristics and pre-characteristics of the battery under different temperature environments based on the battery consumption curve; analyzing the power consumption data of a running battery, and obtaining the consumption trend of the battery based on the consumption characteristics and pre-characteristics, and evaluating the consumption of the battery; the present invention is used to solve the problem that there is a lack of improvement in the prior art in terms of battery consumption evaluation based on the ambient temperature of the battery, and when the battery is charged and discharged at different temperatures, the battery consumption will be unstable due to the influence of temperature, resulting in the inability to control the power consumption of the battery.

Description

Technical Field

[0001] The present invention relates to the technical field of battery consumption evaluation, and in particular to a battery consumption evaluation system and method. Background Art

[0002] Battery consumption can be understood from multiple perspectives, including the capacity loss of the battery during use, the power consumption of the battery in electronic products, and the resource consumption during the battery production process; battery consumption is not only reflected in the capacity loss and power consumption during use, but also includes the resource consumption during the production process; understanding these different levels of consumption will help to more comprehensively understand the use and management of batteries.

[0003] Existing improvements in battery consumption assessment are usually based on monitoring the status of the battery during charging and evaluating the battery's consumption health status. For example, in the patent with publication number CN112505567A, a battery health status assessment system is disclosed. This solution simplifies the battery health assessment process by completing the battery health status assessment during the charging process of the battery to be tested. Other improvements in battery assessment are usually improvements in battery status assessment. However, in the prior art, there is a lack of effective assessment methods for improvements in battery consumption assessment based on the ambient temperature of the battery. When the battery is charged and discharged at different temperatures, the battery consumption will be unstable due to temperature influence, and the battery power may be consumed in full or consumed slowly, resulting in the inability to control the power consumption in the battery, and thus the inability to predict abnormal conditions of the battery in advance. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent. By proposing a battery consumption evaluation system and method, it is used to solve the problem that in the prior art, there is a lack of an effective evaluation method in the improvement of battery consumption evaluation based on the ambient temperature of the battery. When the battery is charged and discharged at different temperatures, the battery consumption will be unstable due to the influence of temperature, and the power in the battery will be completely consumed in advance or consumed slowly, resulting in the inability to control the power consumption in the battery, and further the inability to predict in advance the abnormal conditions that may occur in the battery.

[0005] To achieve the above-mentioned purpose, in a first aspect, the present invention provides a battery consumption evaluation system, comprising a battery consumption analysis module, a battery consumption prediction module and a battery consumption evaluation module; the battery consumption analysis module is data-connected with the battery consumption prediction module, and the battery consumption prediction module is data-connected with the battery consumption evaluation module;

[0006] The battery consumption analysis module is used to analyze the battery power consumption data and obtain the battery consumption curve under different temperature environments based on the analysis results;

[0007] The battery consumption prediction module is used to extract the battery consumption characteristics and pre-characteristics under different temperature environments based on the battery consumption curve;

[0008] The battery consumption evaluation module is used to analyze the power consumption data of the running battery and evaluate the battery consumption based on the consumption characteristics and the pre-characteristics.

[0009] Furthermore, the battery consumption analysis module is configured with a battery consumption analysis strategy, and the battery consumption analysis strategy includes:

[0010] Obtain the highest temperature and the lowest temperature of the environment when the battery is consumed, record them as the highest ambient temperature and the lowest ambient temperature respectively, and record the closed interval formed by the highest ambient temperature and the lowest ambient temperature as the consumption temperature interval;

[0011] The consumption temperature interval is evenly divided into K parts, and the temperature in each part is recorded from low to high as temperature consumption sub-interval 1 to temperature consumption sub-interval K, wherein the lowest temperature in temperature consumption sub-interval 1 is the lowest ambient temperature, and the highest temperature in temperature consumption sub-interval K is the highest ambient temperature;

[0012] For any temperature consumption sub-interval K1 from the temperature consumption sub-interval 1 to the temperature consumption sub-interval K; establish a temperature simulation environment, and adjust the temperature in the temperature simulation environment to any temperature in the temperature consumption sub-interval K1;

[0013] Place a fully charged battery in a temperature simulation environment for consumption, and record the time when consumption starts as the analysis start time; the time when the battery power reaches 0 is recorded as the analysis end time;

[0014] Establish a plane rectangular coordinate system, recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis of the power consumption analysis coordinate system is the battery power percentage;

[0015] Obtain the battery power consumption data between the analysis start time and the analysis end time, and represent the battery power consumption in a curve in the power consumption analysis coordinate system, and record the curve as the battery consumption curve, wherein the coordinates corresponding to the leftmost point of the battery consumption curve are (0, 100%), and the coordinates corresponding to the rightmost point of the battery consumption curve are (J, 0%), and J is the time difference between the analysis start time and the analysis end time;

[0016] The battery consumption curves corresponding to all temperature consumption sub-intervals are obtained and recorded as battery consumption curve 1 to battery consumption curve K in sequence.

[0017] Furthermore, the battery consumption prediction module is configured with a consumption feature extraction strategy, and the consumption feature extraction strategy includes:

[0018] For any battery consumption curve K1 from the battery consumption curve 1 to the battery consumption curve K, the battery consumption curve K1 is evenly divided into L small curves in the power consumption analysis coordinate system, and they are recorded as consumption sub-curve 1 to consumption sub-curve L from left to right; the ordinates corresponding to the midpoints of the consumption sub-curve 1 to the consumption sub-curve L are obtained in sequence, recorded as sub-percentage 1 to sub-percentage L, and the value of 100% minus sub-percentage 1 is recorded as the consumption reduction rate of sub-percentage 1, and the value of sub-percentage 1 minus sub-percentage 2 is recorded as the consumption reduction rate of sub-percentage 2;

[0019] Based on the method of obtaining the consumption reduction rate of sub-percentage 2, the consumption reduction rates corresponding to sub-percentage 3 to sub-percentage L are obtained; the value of 100% divided by L is recorded as the standard consumption percentage; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is less than the standard consumption percentage is marked as a decreasing speed reduction rate; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is greater than the standard consumption percentage is marked as an increasing speed reduction rate; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is equal to the standard consumption percentage is marked as a uniform speed reduction rate.

[0020] Furthermore, the consumption feature extraction strategy also includes:

[0021] The minimum value of the consumption reduction rate from the sub-percentage 2 to the sub-percentage L is recorded as the slowest reduction rate; the maximum value of the consumption reduction rate from the sub-percentage 2 to the sub-percentage L is recorded as the fastest reduction rate; the sub-percentage corresponding to the slowest reduction rate is recorded as the slowest reduction rate percentage; the sub-percentage corresponding to the fastest reduction rate is recorded as the fastest reduction rate percentage; the horizontal coordinate of the midpoint of the curve corresponding to the slowest reduction rate percentage is marked as the slow reduction feature point; the horizontal coordinate of the midpoint of the curve corresponding to the fastest reduction rate percentage is marked as the fast reduction feature point;

[0022] The slow-drop feature points and the fast-drop feature points are recorded as consumption features of the battery consumption curve K1 .

[0023] Furthermore, the battery consumption prediction module is also configured with a feature pre-extraction strategy, which includes:

[0024] Get the Q curve midpoints closer to the left side of the slow-drop feature point, and record them as slow-drop leading point 1 to slow-drop leading point Q from left to right. For any slow-drop leading point Q1 among the slow-drop leading point 1 to the slow-drop leading point Q, record the name marked with the consumption reduction rate of the sub-center percentage corresponding to the slow-drop leading point Q1 as the leading name Q1 of the slow-drop leading point Q1; wherein the marked names include the deceleration reduction rate, the acceleration reduction rate and the uniform speed reduction rate; get the leading names corresponding to the slow-drop leading point 1 to the slow-drop leading point Q and record them as leading name 1 to leading name Q in sequence; record leading name 1 to leading name Q as the leading features of the slow-drop feature point, and K, K1, L, L1, Q and Q1 are positive integers;

[0025] Based on the method of obtaining the preceding features of the slow-drop feature points, the preceding features of the fast-drop feature points are obtained;

[0026] Obtain consumption characteristics and pre-characteristics corresponding to all battery consumption curves.

[0027] Furthermore, the battery consumption assessment module is configured with a line-reaching assessment strategy, which includes:

[0028] When the battery is fully charged and starts running, the battery power status is obtained in real time, and a plane rectangular coordinate system is established as a real-time evaluation coordinate system, wherein the unit of the X-axis of the real-time evaluation coordinate system is time, and the unit of the Y-axis of the real-time evaluation coordinate system is the battery power percentage;

[0029] Obtaining the temperature of the operating environment of the battery, recording it as the real-time operating temperature, recording the temperature consumption sub-interval where the real-time operating temperature is located as the real-time consumption sub-interval; recording the consumption characteristics of the battery consumption curve corresponding to the real-time consumption sub-interval as the comparison consumption characteristics;

[0030] The horizontal coordinate of the rightmost point of the battery consumption curve corresponding to the real-time consumption sub-interval is marked as the consumption end duration, and the value of the consumption end duration divided by L is recorded as the detection sub-time;

[0031] After the battery starts running, the real-time battery power status is represented by a curve in the real-time evaluation coordinate system and recorded as a real-time analysis curve; after the real-time analysis curve starts to be generated, the real-time analysis curve is divided at each detection sub-time, and the divided real-time analysis curves are recorded from left to right as real-time sub-curve 1 to real-time sub-curve L1, where L1 is less than or equal to L.

[0032] Furthermore, the line assessment strategy also includes:

[0033] Whenever a real-time sub-curve is obtained, the Q most recently obtained real-time sub-curves from real-time sub-curve 1 to real-time sub-curve L1 are recorded as the sub-curve group to be compared, and the consumption reduction rates of all real-time sub-curves in the sub-curve group to be compared are obtained based on the consumption feature extraction strategy, and are recorded as reduction rates 1 to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared. The reduction rates 1 to be compared to be compared to be compared to be compared to be compared to be compared to be compared are marked as the speed reduction rate, the speed increase rate or the uniform speed reduction rate;

[0034] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring any real-time sub-curve are equal to the preceding features of the slow drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next acquired real-time sub-curve are marked as the real-time slow point coordinates, and the horizontal coordinates of the slow drop feature points in the comparison consumption features are marked as the comparison slow point coordinates. When the comparison slow point coordinates are greater than the real-time slow point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are less than the real-time slow point coordinates, the battery consumption is evaluated as fast consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption.

[0035] Furthermore, the line assessment strategy also includes:

[0036] When the marked names of the drop rates 1 to Q to be compared obtained after obtaining any real-time sub-curve are equal to the preceding features of the fast drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next obtained real-time sub-curve are marked as the real-time fast point coordinates, and the horizontal coordinates of the fast drop feature points in the comparison consumption features are marked as the comparison fast point coordinates. When the comparison fast point coordinates are greater than the real-time fast point coordinates, the battery consumption is evaluated as fast consumption; when the comparison fast point coordinates are less than the real-time fast point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption;

[0037] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring all the real-time sub-curves are not equal to the slow drop feature point or the fast drop feature point in the compared consumption feature, the battery consumption is evaluated as unstable consumption.

[0038] Furthermore, the battery consumption evaluation module is also configured with a ruling evaluation strategy, which includes:

[0039] When the consumption of the battery in the line-reaching evaluation strategy is unstable, the battery consumption evaluation is recorded as unstable;

[0040] When only fast consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as fast consumption; when only slow consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as slow consumption; when only stable consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as stable consumption;

[0041] For other situations of the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as unstable.

[0042] In a second aspect, the present invention also provides a battery consumption evaluation method, comprising:

[0043] Step S1: Analyze the power consumption data of the battery, and obtain the battery consumption curve of the battery under different temperature environments based on the analysis results;

[0044] Step S2, extracting the battery consumption characteristics and pre-characteristics under different temperature environments based on the battery consumption curve;

[0045] Step S3, analyzing the power consumption data of the running battery, and evaluating the battery consumption based on the consumption characteristics and the pre-characteristics.

[0046] Beneficial effects of the present invention: The present invention first analyzes the battery power consumption data, and obtains the battery consumption curve of the battery under different temperature environments based on the analysis results, then extracts the consumption characteristics and pre-characteristics of the battery under different temperature environments based on the battery consumption curve, and finally analyzes the power consumption data of the running battery, and evaluates the battery consumption based on the consumption characteristics and pre-characteristics. The advantage of this is that by obtaining the battery consumption curves under different temperature environments, the battery power consumption of the battery system under different temperature environments can be obtained, so that in subsequent analysis, the battery can be effectively analyzed when it is in a variety of temperature environments. By obtaining the consumption characteristics and pre-characteristics, the points where the battery is consumed faster and the pre-characteristics for identifying the points where the battery is consumed faster can be obtained, so that in actual analysis, the actual consumption of the battery can be evaluated based on the consumption characteristics and pre-characteristics, and then the power consumption in the battery can be grasped, and abnormal conditions that may occur in the battery can be predicted.

[0047] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the steps of the method of the present invention;

[0049] Figure 2 is a functional block diagram of the system of the present invention;

[0050] Figure 3 is a schematic diagram of a battery consumption curve of the present invention;

[0051] Figure 4 It is a schematic diagram of the real-time sub-curve of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, 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 creative work are within the scope of protection of the present invention.

[0053] Example 1

[0054] See also Figure 1 As shown, the present application provides a battery consumption evaluation method, including: step S1, analyzing the power consumption data of the battery, and obtaining the battery consumption curve of the battery under different temperature environments based on the analysis results.

[0055] Step S1 includes: Step S101, obtaining the highest temperature and the lowest temperature of the environment when the battery is consumed, which are recorded as the highest ambient temperature and the lowest ambient temperature respectively, and recording the closed interval formed by the highest ambient temperature and the lowest ambient temperature as the consumption temperature interval; for example, if the ambient temperature of the battery when it is consumed is between 20°C and 30°C, 20°C to 30°C is recorded as the consumption temperature interval.

[0056] Step S102, divide the consumption temperature interval into K parts on average, and record them from low to high as temperature consumption sub-interval 1 to temperature consumption sub-interval K based on the temperature in each part, wherein the lowest temperature in temperature consumption sub-interval 1 is the lowest ambient temperature, and the highest temperature in temperature consumption sub-interval K is the highest ambient temperature; the value of K can be set according to the size of the consumption temperature interval in actual conditions. When the consumption temperature interval is large, such as -10°C to 50°C, the value of K can be increased to perform a more detailed analysis. When the consumption temperature interval is small, such as 30°C to 35°C, the value of K can be reduced to reduce the actual data processing amount without affecting the analysis results. In this embodiment, the value of K is set to 5.

[0057] Step S103 : for any temperature consumption sub-interval K1 from the temperature consumption sub-interval 1 to the temperature consumption sub-interval K; a temperature simulation environment is established, and the temperature in the temperature simulation environment is adjusted to any temperature in the temperature consumption sub-interval K1 .

[0058] Step S104, placing the fully charged battery in a temperature simulation environment for consumption, and recording the time when consumption starts as the analysis start time; and recording the time when the battery power reaches 0 as the analysis end time.

[0059] Step S105 , establishing a plane rectangular coordinate system, recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis of the power consumption analysis coordinate system is the battery power percentage.

[0060] Step S106, obtain the battery power consumption data between the analysis start time and the analysis end time, and represent the battery power consumption with a curve in the power consumption analysis coordinate system, and record the curve as the battery consumption curve, wherein the coordinates corresponding to the leftmost point of the battery consumption curve are (0, 100%), and the coordinates corresponding to the rightmost point of the battery consumption curve are (J, 0%), and J is the time difference between the analysis start time and the analysis end time.

[0061] See also Figure 3 As shown, the point corresponding to FF1 is the point with coordinates (0, 100%), the point corresponding to F←3 is the point with coordinates (J, 0%), and the curve corresponding to FF2 is the battery consumption curve.

[0062] Step S107, obtaining battery consumption curves corresponding to all temperature consumption sub-intervals, and recording them as battery consumption curve 1 to battery consumption curve K in sequence.

[0063] Step S2, extracting the consumption characteristics and pre-characteristics of the battery under different temperature environments based on the battery consumption curve; Step S2 includes: Step S201, for any battery consumption curve K1 from the battery consumption curve 1 to the battery consumption curve K, evenly dividing the battery consumption curve K1 into L small curves in the power consumption analysis coordinate system, and recording them from left to right as consumption sub-curve 1 to consumption sub-curve L; obtaining the vertical coordinates corresponding to the midpoints of the consumption sub-curve 1 to the consumption sub-curve L in turn, recording them as sub-percentage 1 to sub-percentage L, recording the value of 100% minus sub-percentage 1 as the consumption reduction rate of sub-percentage 1, and recording the value of sub-percentage 1 minus sub-percentage 2 as the consumption reduction rate of sub-percentage 2.

[0064] In the specific implementation process, the value of L can be set according to the actual battery consumption curve. When the battery consumption curve is relatively smooth, the value of L can be lowered to reduce the amount of data processing while meeting the actual analysis needs. When the battery consumption curve is relatively bumpy, the value of L can be increased to capture all the features of the battery consumption curve K; for example, if the sub-percentage 1 is 95% and the sub-percentage 2 is 85%, then it can be calculated that the consumption reduction rate of the sub-percentage 1 is 5%, and the consumption reduction rate of the sub-percentage 2 is 10%.

[0065] Step S202, based on the method of obtaining the consumption reduction rate of sub-percentage 2, obtain the consumption reduction rate corresponding to sub-percentage 3 to sub-percentage L; record the value of 100% divided by L as the standard consumption percentage; mark the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is less than the standard consumption percentage as a decreasing speed reduction rate; mark the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is greater than the standard consumption percentage as an increasing speed reduction rate; mark the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is equal to the standard consumption percentage as a uniform speed reduction rate.

[0066] Step S203, record the minimum value of the consumption reduction rate from the sub-percentage 2 to the consumption reduction rate of the sub-percentage L as the slowest reduction rate; record the maximum value of the consumption reduction rate from the sub-percentage 2 to the consumption reduction rate of the sub-percentage L as the fastest reduction rate; record the sub-percentage corresponding to the slowest reduction rate as the slowest reduction rate percentage; record the sub-percentage corresponding to the fastest reduction rate as the fastest reduction rate percentage; mark the horizontal coordinate of the midpoint of the curve corresponding to the slowest reduction rate percentage as a slow reduction feature point; mark the horizontal coordinate of the midpoint of the curve corresponding to the fastest reduction rate percentage as a fast reduction feature point.

[0067] The slow-drop feature points and the fast-drop feature points are recorded as consumption features of the battery consumption curve K1 .

[0068] Step S2 also includes: step S204, obtaining Q curve midpoints closer to the left side of the slow-descent feature point, and recording them from left to right as slow-descent leading point 1 to slow-descent leading point Q, for any slow-descent leading point Q1 from the slow-descent leading point 1 to the slow-descent leading point Q, recording the name marked with the consumption reduction rate of the sub-percentage corresponding to the slow-descent leading point Q1 as the leading name Q1 of the slow-descent leading point Q1, wherein the marked name includes the deceleration reduction rate, the acceleration reduction rate and the uniform speed reduction rate; obtaining the leading names corresponding to the slow-descent leading point 1 to the slow-descent leading point Q and recording them as leading name 1 to leading name Q in sequence; recording the leading name 1 to leading name Q as the leading features of the slow-descent feature point.

[0069] In the specific implementation process, by obtaining Q curve midpoints, the marked situation of the consumption reduction rate of the sub-center percentage before obtaining the slow-drop feature point can be obtained, so that the slow-drop feature point can be identified in the actual analysis; the value of Q can be set according to the value of L. When the value of L is large, the value of Q can be appropriately increased. When the value of L is small, the value of Q can be appropriately reduced. In this embodiment, the value of L is set to 8 and the value of Q is set to 3; when the number of curve midpoints on the left side of the slow-drop feature point is less than Q, all the midpoints of the intervals on the left side of the slow-drop feature point can be recorded as slow-drop pre-points.

[0070] Step S205: acquiring the preceding features of the fast-dropping feature points based on the method for acquiring the preceding features of the slow-dropping feature points.

[0071] Step S206, obtaining consumption characteristics and pre-characteristics corresponding to all battery consumption curves.

[0072] Step S3, analyzing the power consumption data of the running battery, and evaluating the battery consumption based on the consumption characteristics and the pre-characteristics.

[0073] Step S3 includes: Step S301, when the battery is fully charged and starts running, the battery power status is obtained in real time, and a plane rectangular coordinate system is established as a real-time evaluation coordinate system, wherein the unit of the X-axis of the real-time evaluation coordinate system is time, and the unit of the Y-axis of the real-time evaluation coordinate system is the battery power percentage.

[0074] Step S302, obtaining the temperature of the operating environment of the battery, recording it as the real-time operating temperature, recording the temperature consumption sub-interval where the real-time operating temperature is located as the real-time consumption sub-interval; recording the consumption characteristics of the battery consumption curve corresponding to the real-time consumption sub-interval as the comparison consumption characteristics.

[0075] The horizontal coordinate of the rightmost point of the battery consumption curve corresponding to the real-time consumption sub-interval is marked as the consumption end duration, and the value of the consumption end duration divided by L is recorded as the detection sub-time.

[0076] After the battery starts running, the real-time battery power status is represented by a curve in the real-time evaluation coordinate system and recorded as a real-time analysis curve; after the real-time analysis curve starts to be generated, the real-time analysis curve is segmented at each detection sub-time, and the segmented real-time analysis curves are recorded from left to right as real-time sub-curve 1 to real-time sub-curve L1, where L1 is less than or equal to L; the purpose of setting L1 is that before the last analysis, each time a real-time sub-curve is obtained and real-time sub-curve 1 to real-time sub-curve L1 are obtained, the curve corresponding to real-time sub-curve 1 to real-time sub-curve L1 should be a part of the real-time analysis curve, so at this time L1 is less than L, and only in the last analysis, the obtained real-time sub-curve 1 to real-time sub-curve L1 are equal to the real-time analysis curve, and L1 at this time is equal to L, so the value of L1 should be less than or equal to L.

[0077] See also Figure 4 As shown, Figure 4 The coordinate system in is the real-time evaluation coordinate system, the point corresponding to GG1 is the point corresponding to the consumption end time, and GG2 to GG8 are real-time sub-curves 1 to 7;

[0078] Step S303, whenever a real-time sub-curve is obtained, the Q real-time sub-curves most recently obtained from the real-time sub-curve 1 to the real-time sub-curve L1 are recorded as the sub-curve group to be compared, and based on step S2, the consumption reduction rates of all real-time sub-curves in the sub-curve group to be compared are obtained, and are recorded in sequence as reduction rates 1 to Q to be compared, and the reduction rates 1 to Q to be compared are marked as deceleration rates, acceleration rates or uniform reduction rates; when the number of the real-time sub-curves most recently obtained from the real-time sub-curve 1 to the real-time sub-curve L1 is less than Q, the real-time sub-curve 1 to the real-time sub-curve L1 are recorded as the sub-curve group to be compared.

[0079] For example, in a data processing, the coordinate of the slow point is compared for 10 minutes, and the preceding features of the slow drop feature point in the consumption feature are the uniform drop rate, the deceleration drop rate and the deceleration drop rate. After obtaining a real-time sub-curve, the marks corresponding to the consumption drop rates of all real-time sub-curves in the sub-curve group to be compared are the uniform drop rate, the deceleration drop rate and the deceleration drop rate, respectively. The horizontal coordinate corresponding to the midpoint of the next real-time sub-curve obtained is marked as the real-time slow coordinate. The real-time slow coordinate is 15 minutes through detection, and the battery consumption is evaluated as faster. K, K1, L, L1, Q and Q1 are positive integers.

[0080] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring any real-time sub-curve are equal to the preceding features of the slow drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next acquired real-time sub-curve are marked as the real-time slow point coordinates, and the horizontal coordinates of the slow drop feature points in the comparison consumption features are marked as the comparison slow point coordinates. When the comparison slow point coordinates are greater than the real-time slow point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are less than the real-time slow point coordinates, the battery consumption is evaluated as fast consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption.

[0081] When the comparison slow point coordinates are greater than the real-time slow point coordinates, it means that under the same temperature conditions, the actual battery consumption slows down less than the normal battery consumption slows down during analysis, that is, at the actual slow point coordinates, the actual battery consumption is less than the normal battery consumption during analysis, so the battery consumption is slower; based on the above analysis, when the comparison slow point coordinates are less than the real-time slow point coordinates, the battery consumption is faster; and when the comparison slow point coordinates are equal to the real-time slow point coordinates, it means that the battery consumption is consistent with the normal battery consumption during analysis, so it is evaluated as stable consumption.

[0082] Step S304, when the marked names of the drop rates 1 to Q to be compared obtained after acquiring any real-time sub-curve are equal to the preceding features of the fast drop feature points in the compared consumption features, the horizontal coordinates corresponding to the midpoints of the next acquired real-time sub-curve are marked as the real-time fast point coordinates, and the horizontal coordinates of the fast drop feature points in the compared consumption features are marked as the compared fast point coordinates. When the compared fast point coordinates are greater than the real-time fast point coordinates, the battery consumption is evaluated as fast consumption; when the compared fast point coordinates are less than the real-time fast point coordinates, the battery consumption is evaluated as slow consumption; when the compared slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption.

[0083] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring all the real-time sub-curves are not equal to the slow drop feature point or the fast drop feature point in the compared consumption feature, the battery consumption is evaluated as unstable consumption.

[0084] Step S3 also includes: Step S305, when the consumption of the battery is unstable, the battery consumption evaluation is recorded as unstable.

[0085] When only fast consumption appears in the evaluation of the battery consumption, the battery consumption assessment is recorded as fast consumption; when only slow consumption appears in the evaluation of the battery consumption, the battery consumption assessment is recorded as slow consumption; when only stable consumption appears in the evaluation of the battery consumption, the battery consumption assessment is recorded as stable consumption.

[0086] For other situations of the battery consumption assessment, the battery consumption assessment is recorded as unstable; for example, when the battery consumption is assessed as slow consumption, fast consumption, slow consumption, and stable consumption, the battery consumption assessment is recorded as unstable.

[0087] Example 2

[0088] See also Figure 2 As shown, the present invention provides a battery consumption evaluation system, including a battery consumption analysis module, a battery consumption prediction module and a battery consumption evaluation module; the battery consumption analysis module is data-connected to the battery consumption prediction module, and the battery consumption prediction module is data-connected to the battery consumption evaluation module.

[0089] The battery consumption analysis module is used to analyze the battery power consumption data and obtain the battery consumption curve under different temperature environments based on the analysis results.

[0090] The battery consumption analysis module is configured with a battery consumption analysis strategy, which includes:

[0091] The highest temperature and the lowest temperature of the environment when the battery is consumed are obtained, which are recorded as the highest ambient temperature and the lowest ambient temperature respectively, and the closed interval formed by the highest ambient temperature and the lowest ambient temperature is recorded as the consumption temperature interval.

[0092] The consumption temperature interval is divided into K parts on average, and based on the temperature in each part, they are recorded from low to high as temperature consumption sub-interval 1 to temperature consumption sub-interval K, where the lowest temperature in temperature consumption sub-interval 1 is the lowest ambient temperature, and the highest temperature in temperature consumption sub-interval K is the highest ambient temperature.

[0093] For any temperature consumption sub-interval K1 from the temperature consumption sub-interval 1 to the temperature consumption sub-interval K; a temperature simulation environment is established, and the temperature in the temperature simulation environment is adjusted to any temperature in the temperature consumption sub-interval K1.

[0094] A fully charged battery is placed in a temperature simulation environment for consumption, and the time when consumption starts is recorded as the analysis start time; the time when the battery power reaches 0 is recorded as the analysis end time.

[0095] A plane rectangular coordinate system is established, which is recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis of the power consumption analysis coordinate system is the battery power percentage.

[0096] Obtain the battery power consumption data between the analysis start time and the analysis end time, and represent the battery power consumption with a curve in the power consumption analysis coordinate system, and record the curve as the battery consumption curve, wherein the coordinates corresponding to the leftmost point of the battery consumption curve are (0, 100%), and the coordinates corresponding to the rightmost point of the battery consumption curve are (J, 0%), and J is the time difference between the analysis start time and the analysis end time.

[0097] The battery consumption curves corresponding to all temperature consumption sub-intervals are obtained and recorded as battery consumption curve 1 to battery consumption curve K in sequence.

[0098] The battery consumption prediction module is used to extract the battery consumption characteristics and pre-characteristics under different temperature environments based on the battery consumption curve.

[0099] The battery consumption prediction module is configured with a consumption feature extraction strategy, which includes:

[0100] For any battery consumption curve K1 from battery consumption curve 1 to battery consumption curve K, the battery consumption curve K1 is evenly divided into L small curves in the power consumption analysis coordinate system, and recorded as consumption sub-curve 1 to consumption sub-curve L from left to right; the vertical coordinates corresponding to the midpoints of the consumption sub-curve 1 to consumption sub-curve L are obtained in turn, recorded as sub-percentage 1 to sub-percentage L, and the value of 100% minus sub-percentage 1 is recorded as the consumption reduction rate of sub-percentage 1, and the value of sub-percentage 1 minus sub-percentage 2 is recorded as the consumption reduction rate of sub-percentage 2.

[0101] Based on the method of obtaining the consumption reduction rate of sub-percentage 2, the consumption reduction rates corresponding to sub-percentage 3 to sub-percentage L are obtained; the value of 100% divided by L is recorded as the standard consumption percentage; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is less than the standard consumption percentage is marked as a decreasing speed reduction rate; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is greater than the standard consumption percentage is marked as an increasing speed reduction rate; the consumption reduction rate from the consumption reduction rate of sub-percentage 1 to the consumption reduction rate of sub-percentage L that is equal to the standard consumption percentage is marked as a uniform speed reduction rate.

[0102] The consumption feature extraction strategy also includes: recording the minimum value of the consumption reduction rate from the sub-percentage 2 to the consumption reduction rate of the sub-percentage L as the slowest reduction rate; recording the maximum value of the consumption reduction rate from the sub-percentage 2 to the consumption reduction rate of the sub-percentage L as the fastest reduction rate; recording the sub-percentage corresponding to the slowest reduction rate as the slowest reduction rate percentage; recording the sub-percentage corresponding to the fastest reduction rate as the fastest reduction rate percentage; marking the horizontal coordinate of the midpoint of the curve corresponding to the slowest reduction rate percentage as a slow reduction feature point; marking the horizontal coordinate of the midpoint of the curve corresponding to the fastest reduction rate percentage as a fast reduction feature point.

[0103] The slow-drop feature points and the fast-drop feature points are recorded as consumption features of the battery consumption curve K1 .

[0104] The battery consumption prediction module is also configured with a feature pre-extraction strategy, which includes: obtaining Q curve midpoints closer to the left side of the slow-drop feature point, and recording them from left to right as slow-drop pre-point 1 to slow-drop pre-point Q, for any slow-drop pre-point Q1 from the slow-drop pre-point 1 to the slow-drop pre-point Q, the name marked with the consumption drop rate of the percentage of the sub-center corresponding to the slow-drop pre-point Q1 is recorded as the pre-name Q1 of the slow-drop pre-point Q1, wherein the marked names include the deceleration drop rate, the acceleration drop rate and the uniform speed drop rate; obtaining the pre-names corresponding to the slow-drop pre-point 1 to the slow-drop pre-point Q and recording them as pre-name 1 to pre-name Q in sequence; recording the pre-name 1 to the pre-name Q as the pre-features of the slow-drop feature point.

[0105] Based on the method for obtaining the preceding features of the slow-drop feature points, the preceding features of the fast-drop feature points are obtained.

[0106] Obtain consumption characteristics and pre-characteristics corresponding to all battery consumption curves.

[0107] The battery consumption evaluation module is used to analyze the power consumption data of the running battery and evaluate the battery consumption based on the consumption characteristics and the pre-characteristics. The battery consumption evaluation module is configured with a reach-line evaluation strategy. The reach-line evaluation strategy includes: when the battery is fully charged and starts running, the battery power status is obtained in real time, and a plane rectangular coordinate system is established as the real-time evaluation coordinate system, wherein the unit of the X-axis of the real-time evaluation coordinate system is time, and the unit of the Y-axis of the real-time evaluation coordinate system is the percentage of battery power.

[0108] The temperature of the operating environment of the battery is obtained and recorded as the real-time operating temperature. The temperature consumption sub-interval where the real-time operating temperature is located is recorded as the real-time consumption sub-interval. The consumption characteristics of the battery consumption curve corresponding to the real-time consumption sub-interval are recorded as the comparison consumption characteristics.

[0109] The horizontal coordinate of the rightmost point of the battery consumption curve corresponding to the real-time consumption sub-interval is marked as the consumption end duration, and the value of the consumption end duration divided by L is recorded as the detection sub-time.

[0110] After the battery starts running, the real-time battery power status is represented by a curve in the real-time evaluation coordinate system and recorded as a real-time analysis curve; after the real-time analysis curve starts to be generated, the real-time analysis curve is divided at each detection sub-time, and the divided real-time analysis curves are recorded from left to right as real-time sub-curve 1 to real-time sub-curve L1, where L1 is less than or equal to L.

[0111] The line-reaching evaluation strategy also includes: whenever a real-time sub-curve is obtained, the Q most recently obtained real-time sub-curves from real-time sub-curve 1 to real-time sub-curve L1 are recorded as the sub-curve group to be compared, and based on the consumption feature extraction strategy, the consumption reduction rate of all real-time sub-curves in the sub-curve group to be compared is obtained, and recorded as reduction rate 1 to reduction rate Q to be compared in turn, and the reduction rate 1 to reduction rate Q to be compared is marked as a deceleration rate, an increasing rate or a uniform rate.

[0112] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring any real-time sub-curve are equal to the preceding features of the slow drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next acquired real-time sub-curve are marked as the real-time slow point coordinates, and the horizontal coordinates of the slow drop feature points in the comparison consumption features are marked as the comparison slow point coordinates. When the comparison slow point coordinates are greater than the real-time slow point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are less than the real-time slow point coordinates, the battery consumption is evaluated as fast consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption.

[0113] The line-reaching evaluation strategy also includes: when the marked names of the drop rates 1 to Q to be compared obtained after acquiring any real-time sub-curve are equal to the preceding features of the fast-drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next acquired real-time sub-curve are marked as the real-time fast point coordinates, and the horizontal coordinates of the fast-drop feature points in the comparison consumption features are marked as the comparison fast point coordinates. When the comparison fast point coordinates are greater than the real-time fast point coordinates, the battery consumption is evaluated as faster consumption; when the comparison fast point coordinates are less than the real-time fast point coordinates, the battery consumption is evaluated as slower consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption.

[0114] When the marked names of the drop rates 1 to Q to be compared obtained after acquiring all the real-time sub-curves are not equal to the slow drop feature point or the fast drop feature point in the compared consumption feature, the battery consumption is evaluated as unstable consumption.

[0115] The battery consumption evaluation module is also configured with a ruling evaluation strategy, which includes: when unstable consumption occurs in the evaluation of the battery consumption in the line evaluation strategy, the battery consumption evaluation is recorded as unstable.

[0116] When only fast consumption appears in the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as fast consumption; when only slow consumption appears in the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as slow consumption; when only stable consumption appears in the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as stable consumption.

[0117] For other situations of the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as unstable.

[0118] Working principle: The present invention first analyzes the battery power consumption data, and obtains the battery consumption curve of the battery under different temperature environments based on the analysis results, and then extracts the consumption characteristics and pre-characteristics of the battery under different temperature environments based on the battery consumption curve. Finally, the power consumption data of the running battery is analyzed, and the battery consumption is evaluated based on the consumption characteristics and pre-characteristics.

[0119] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0120] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can be in the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-0nly Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0121] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

Claims

1. A battery consumption evaluation system, characterized in that It includes a battery consumption analysis module, a battery consumption prediction module and a battery consumption evaluation module; the battery consumption analysis module is data-connected with the battery consumption prediction module, and the battery consumption prediction module is data-connected with the battery consumption evaluation module; The battery consumption analysis module is used to analyze the battery power consumption data and obtain the battery consumption curve under different temperature environments based on the analysis results; The battery consumption prediction module is used to extract the battery consumption characteristics and pre-characteristics under different temperature environments based on the battery consumption curve; The battery consumption evaluation module is used to analyze the power consumption data of the running battery and evaluate the battery consumption based on the consumption characteristics and the pre-characteristics; The battery consumption analysis module is configured with a battery consumption analysis strategy, which includes: Obtain the highest temperature and the lowest temperature of the environment when the battery is consumed, record them as the highest ambient temperature and the lowest ambient temperature respectively, and record the closed interval formed by the highest ambient temperature and the lowest ambient temperature as the consumption temperature interval; The consumption temperature interval is evenly divided into K parts, and the temperature in each part is recorded from low to high as temperature consumption sub-interval 1 to temperature consumption sub-interval K, wherein the lowest temperature in temperature consumption sub-interval 1 is the lowest ambient temperature, and the highest temperature in temperature consumption sub-interval K is the highest ambient temperature; For any temperature consumption sub-interval K1 from the temperature consumption sub-interval 1 to the temperature consumption sub-interval K; establish a temperature simulation environment, and adjust the temperature in the temperature simulation environment to any temperature in the temperature consumption sub-interval K1; Place a fully charged battery in a temperature simulation environment for consumption, and record the time when consumption starts as the analysis start time; the time when the battery power reaches 0 is recorded as the analysis end time; Establish a plane rectangular coordinate system, recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis of the power consumption analysis coordinate system is the battery power percentage; Obtain the battery power consumption data between the analysis start time and the analysis end time, and represent the battery power consumption data with a curve in the power consumption analysis coordinate system, and record the curve as the battery consumption curve, wherein the coordinates corresponding to the leftmost point of the battery consumption curve are (0, 100%), and the coordinates corresponding to the rightmost point of the battery consumption curve are (J, 0%), and J is the time difference between the analysis start time and the analysis end time; Obtaining battery consumption curves corresponding to all temperature consumption sub-intervals, and recording them as battery consumption curve 1 to battery consumption curve K in sequence; The battery consumption prediction module is configured with a consumption feature extraction strategy, which includes: For any battery consumption curve K1 from the battery consumption curve 1 to the battery consumption curve K, the battery consumption curve K1 is evenly divided into L small curves in the power consumption analysis coordinate system, and they are recorded as consumption sub-curve 1 to consumption sub-curve L from left to right; the ordinates corresponding to the midpoints of the consumption sub-curve 1 to the consumption sub-curve L are obtained in sequence, recorded as sub-percentage 1 to sub-percentage L, and the value of 100% minus sub-percentage 1 is recorded as the consumption reduction rate of sub-percentage 1, and the value of sub-percentage 1 minus sub-percentage 2 is recorded as the consumption reduction rate of sub-percentage 2; Based on the acquisition of the consumption reduction rate of the sub-percentage 2, the consumption reduction rate corresponding to the sub-percentage 3 to the sub-percentage L is obtained; the value of 100% divided by L is recorded as the standard consumption percentage; the consumption reduction rate from the sub-percentage 1 to the sub-percentage L that is less than the standard consumption percentage is marked as the speed reduction rate; the consumption reduction rate from the sub-percentage 1 to the sub-percentage L that is greater than the standard consumption percentage is marked as the increasing speed reduction rate; the consumption reduction rate from the sub-percentage 1 to the sub-percentage L that is equal to the standard consumption percentage is marked as the uniform speed reduction rate; The consumption feature extraction strategy also includes: The minimum value of the consumption reduction rate from the sub-percentage 2 to the sub-percentage L is recorded as the slowest reduction rate; the maximum value of the consumption reduction rate from the sub-percentage 2 to the sub-percentage L is recorded as the fastest reduction rate; the sub-percentage corresponding to the slowest reduction rate is recorded as the slowest reduction rate percentage; the sub-percentage corresponding to the fastest reduction rate is recorded as the fastest reduction rate percentage; the horizontal coordinate of the midpoint of the curve corresponding to the slowest reduction rate percentage is marked as the slow reduction feature point; the horizontal coordinate of the midpoint of the curve corresponding to the fastest reduction rate percentage is marked as the fast reduction feature point; The slow-drop feature point and the fast-drop feature point are recorded as consumption features of the battery consumption curve K1; The battery consumption prediction module is also configured with a feature pre-extraction strategy, which includes: Get the Q curve midpoints closer to the left side of the slow-drop feature point, and record them from left to right as slow-drop leading point 1 to slow-drop leading point Q. For any slow-drop leading point Q1 among the slow-drop leading point 1 to the slow-drop leading point Q, record the name marked with the consumption reduction rate of the sub-center percentage corresponding to the slow-drop leading point Q1 as the leading name Q1 of the slow-drop leading point Q1, wherein the marked name includes the deceleration reduction rate, the acceleration reduction rate and the uniform speed reduction rate; get the leading names corresponding to the slow-drop leading point 1 to the slow-drop leading point Q and record them as leading name 1 to leading name Q in sequence; record leading name 1 to leading name Q as the leading features of the slow-drop feature point; Based on the acquisition of the preceding features of the slow-drop feature points, the preceding features of the fast-drop feature points are acquired; Obtain consumption characteristics and pre-characteristics corresponding to all battery consumption curves; The battery consumption assessment module is configured with a reach line assessment strategy, which includes: When the battery is fully charged and starts running, the battery power status is obtained in real time, and a plane rectangular coordinate system is established as a real-time evaluation coordinate system, wherein the unit of the X-axis of the real-time evaluation coordinate system is time, and the unit of the Y-axis of the real-time evaluation coordinate system is the battery power percentage; Obtaining the temperature of the operating environment of the battery, recording it as the real-time operating temperature, recording the temperature consumption sub-interval where the real-time operating temperature is located as the real-time consumption sub-interval; recording the consumption characteristics of the battery consumption curve corresponding to the real-time consumption sub-interval as the comparison consumption characteristics; The horizontal coordinate of the rightmost point of the battery consumption curve corresponding to the real-time consumption sub-interval is marked as the consumption end duration, and the value of the consumption end duration divided by L is recorded as the detection sub-time; After the battery starts running, the battery power status acquired in real time is represented by a curve in the real-time evaluation coordinate system and recorded as a real-time analysis curve; after the real-time analysis curve starts to be generated, the real-time analysis curve is segmented at every detection sub-time, and the segmented real-time analysis curves are sequentially recorded from left to right as real-time sub-curve 1 to real-time sub-curve L1, where L1 is less than or equal to L, and K, K1, L, L1, Q and Q1 are positive integers; The assessment strategy also includes: Whenever a real-time sub-curve is obtained, the Q most recently obtained real-time sub-curves from real-time sub-curve 1 to real-time sub-curve L1 are recorded as the sub-curve group to be compared, and the consumption reduction rates of all real-time sub-curves in the sub-curve group to be compared are obtained based on the consumption feature extraction strategy, and are recorded as reduction rates 1 to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared to be compared. The reduction rates 1 to be compared to be compared to be compared to be compared to be compared to be compared to be compared are marked as the speed reduction rate, the speed increase rate or the uniform speed reduction rate; When the marked names of the drop rates 1 to Q to be compared obtained after obtaining any real-time sub-curve are equal to the preceding features of the slow drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next obtained real-time sub-curve are marked as the real-time slow point coordinates, and the horizontal coordinates of the slow drop feature points in the comparison consumption features are marked as the comparison slow point coordinates. When the comparison slow point coordinates are greater than the real-time slow point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are less than the real-time slow point coordinates, the battery consumption is evaluated as fast consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption; The assessment strategy also includes: When the marked names of the drop rates 1 to Q to be compared obtained after obtaining any real-time sub-curve are equal to the preceding features of the fast drop feature points in the comparison consumption features, the horizontal coordinates corresponding to the midpoints of the next obtained real-time sub-curve are marked as the real-time fast point coordinates, and the horizontal coordinates of the fast drop feature points in the comparison consumption features are marked as the comparison fast point coordinates. When the comparison fast point coordinates are greater than the real-time fast point coordinates, the battery consumption is evaluated as fast consumption; when the comparison fast point coordinates are less than the real-time fast point coordinates, the battery consumption is evaluated as slow consumption; when the comparison slow point coordinates are equal to the real-time slow point coordinates, the battery consumption is evaluated as stable consumption; When the marked names of the drop rates 1 to Q to be compared obtained after acquiring all the real-time sub-curves are not equal to the slow drop feature point or the fast drop feature point in the compared consumption feature, the battery consumption is evaluated as unstable consumption.

2. The battery consumption evaluation system according to claim 1, characterized in that: The battery consumption evaluation module is also configured with a ruling evaluation strategy, which includes: When the consumption of the battery in the line-reaching evaluation strategy is unstable, the battery consumption evaluation is recorded as unstable; When only fast consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as fast consumption; when only slow consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as slow consumption; when only stable consumption appears in the evaluation of battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as stable consumption; For other situations of the evaluation of the battery consumption in the line-reaching evaluation strategy, the battery consumption evaluation is recorded as unstable.

3. A battery consumption evaluation method, implemented based on the battery consumption evaluation system according to claim 1 or 2, characterized in that: include: Step S1, analyzing the power consumption data of the battery, and obtaining a battery consumption curve of the battery under different temperature environments based on the analysis result; Step S2, extracting the battery consumption characteristics and pre-characteristics under different temperature environments based on the battery consumption curve; Step S3, analyzing the power consumption data of the running battery, and evaluating the battery consumption based on the consumption characteristics and the pre-characteristics.

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