Energy storage battery adaptability evaluation method and system under various working conditions
By automatically collecting and evaluating the operating information of energy storage batteries, the problem of low efficiency of energy storage batteries in the existing technology is solved, efficient automatic evaluation is achieved, labor costs are reduced, and the long-term normal operation of energy storage batteries is ensured. and system security.
Patent Information
- Application Number
- CN202311349281.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-18
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2043-10-18
AI Technical Summary
In the prior art, the adaptability evaluation efficiency of energy storage batteries under various operating conditions is low and dependent on labor, resulting in high labor costs and the inability to effectively ensure the long-term normal operation of energy storage batteries, which may lead to system accidents.
By automatically collecting the operation information of the energy storage battery, performing adaptive evaluation based on this information, and visually output evaluation results, reducing manual intervention and improving evaluation efficiency.
It realizes automatic adaptability evaluation of energy storage batteries under various working conditions, reduces labor costs, significantly improves evaluation efficiency, ensures the long-lasting and normal operation of energy storage batteries, and avoids potential system accidents.
Smart Images

Figure CN117573007B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy storage battery adaptability evaluation, and in particular to an energy storage battery adaptability evaluation method and system under various working conditions. Background Art
[0002] Energy storage batteries are the most expensive component in electrochemical energy storage power stations. Each energy storage battery manufacturer has different energy storage battery models, performance and parameters. The charging and discharging current, internal resistance, capacity, etc. of each energy storage battery are different. When forming an energy storage battery group or using it alone, it is necessary to ensure that the parameters of the energy storage battery are within the specified range; after forming an energy storage system, due to the inconsistency of energy storage battery monomers, this inconsistency will be wirelessly amplified during the operation of the power station. After long-term operation, outdated batteries and faulty batteries will appear, affecting the system benefits, and serious catastrophic accidents will occur. Therefore, it is necessary to evaluate the adaptability of energy storage batteries under various working conditions to ensure that the energy storage batteries can operate normally for a long time.
[0003] Generally, when evaluating the adaptability of energy storage batteries under various working conditions, multiple experts are required to perform the evaluation manually, which results in high labor costs and low efficiency of the adaptability evaluation. Therefore, a solution is urgently needed to at least address some of the deficiencies in the prior art. Summary of the invention
[0004] One of the purposes of the present invention is to provide a method for evaluating the adaptability of energy storage batteries under various working conditions, automatically collect operating information of energy storage batteries under various working conditions, and evaluate the adaptability of energy storage batteries based on the operating information. There is no need for experts to manually evaluate the adaptability of energy storage batteries under various working conditions, which reduces labor costs and greatly improves the efficiency of adaptability evaluation.
[0005] The method for evaluating the adaptability of an energy storage battery under various working conditions provided by an embodiment of the present invention includes:
[0006] Step S1: Collecting operating information of the energy storage battery under various working conditions;
[0007] Step S2: Based on the operation information, the adaptability of the energy storage battery is evaluated;
[0008] Step S3: Visually output the evaluation results.
[0009] Preferably, step S1: collecting operating information of the energy storage battery under various working conditions includes:
[0010] Ongoing implementation, including:
[0011] Obtain the current working condition of the energy storage battery;
[0012] Determine whether the current operating conditions meet the entry conditions for operation information collection;
[0013] When it meets the requirements, the current operation information of the energy storage battery is collected;
[0014] Among them, the entry conditions for operation information collection include:
[0015] The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold;
[0016] or,
[0017] The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to multiple working condition characteristics of the current working condition in the preset value library;
[0018] or,
[0019] The current working condition exists in the preset trigger working condition library.
[0020] Preferably, step S2: based on the operation information, evaluating the adaptability of the energy storage battery includes:
[0021] Obtain a preset adaptability evaluation index library;
[0022] Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in turn;
[0023] During each traversal, based on the traversed adaptability evaluation indicators and the operation information, the adaptability of the energy storage battery is evaluated to obtain the evaluation result items;
[0024] After traversing the adaptability evaluation indicators, the evaluation result items obtained during each traversal are integrated to obtain the evaluation results.
[0025] Preferably, step S3: visually outputting the evaluation results, comprises:
[0026] Get the preset visualization model;
[0027] Get the preset model information configuration template;
[0028] Based on the model information configuration template, the model information of the visualization model is configured according to the evaluation results;
[0029] Output the visual model after the model information configuration is completed.
[0030] Preferably, the method for evaluating the adaptability of energy storage batteries under various working conditions further includes:
[0031] When the user browses the visualization model, determining whether the user meets the condition of the existence of the supplementary adaptability evaluation intention;
[0032] When it is in compliance, the setting area is filtered out from the visualization model based on the setting area filtering condition;
[0033] Setting the preset supplementary adaptability evaluation requirement input window in the setting area;
[0034] Acquiring the supplementary adaptability evaluation requirements input by the user based on the supplementary adaptability evaluation requirements input window;
[0035] Respond to supplementary adaptability evaluation requirements and obtain supplementary adaptability evaluation results;
[0036] Based on the model information configuration template, the visualization model is supplemented with model information configuration according to the supplementary adaptability evaluation results;
[0037] Among them, the conditions for the intention to conduct additional adaptability evaluation include:
[0038] The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set contains different browsing dwelling times of multiple visualization information of the same information type in the visualization model that the user browsed within the first time period that was recently preset;
[0039] or,
[0040] The user does not operate the visualization model continuously within a preset second time after the target time; the target time is the time when the total browsing time of the visualization model by the user reaches a preset time threshold, or the time when the operation type of the visualization model operated by the user matches the trigger operation type in the preset trigger operation type library;
[0041] or,
[0042] User input supplemental fitness evaluation request;
[0043] The area screening conditions include:
[0044] Set the region state of the region to idle;
[0045] The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target circle center and the straight line direction from the target circle center to the area center of the set area; the target circle center is the center of the minimum enclosing circle that encloses the operation start position.
[0046] The energy storage battery adaptability evaluation system under various working conditions of the embodiment of the present invention includes:
[0047] Operation information collection module, used to collect operation information of energy storage batteries under various working conditions;
[0048] An adaptability evaluation module is used to evaluate the adaptability of the energy storage battery based on the operation information;
[0049] Visual output module, used to visualize the evaluation results.
[0050] Preferably, the operation information collection module collects the operation information of the energy storage battery under various working conditions, including:
[0051] Ongoing implementation, including:
[0052] Obtain the current working condition of the energy storage battery;
[0053] Determine whether the current operating conditions meet the entry conditions for operation information collection;
[0054] When it meets the requirements, the current operation information of the energy storage battery is collected;
[0055] Among them, the entry conditions for operation information collection include:
[0056] The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold;
[0057] or,
[0058] The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to multiple working condition characteristics of the current working condition in the preset value library;
[0059] or,
[0060] The current working condition exists in the preset trigger working condition library.
[0061] Preferably, the adaptability evaluation module performs adaptability evaluation on the energy storage battery based on the operation information, including:
[0062] Obtain a preset adaptability evaluation index library;
[0063] Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in turn;
[0064] During each traversal, based on the traversed adaptability evaluation indicators and the operation information, the adaptability of the energy storage battery is evaluated to obtain the evaluation result items;
[0065] After traversing the adaptability evaluation indicators, the evaluation result items obtained during each traversal are integrated to obtain the evaluation results.
[0066] Preferably, the visual output module visually outputs the evaluation results, including:
[0067] Get the preset visualization model;
[0068] Get the preset model information configuration template;
[0069] Based on the model information configuration template, the model information of the visualization model is configured according to the evaluation results;
[0070] Output the visual model after the model information configuration is completed.
[0071] Preferably, the energy storage battery adaptability evaluation system under various working conditions further includes:
[0072] Supplementary adaptability assessment modules to include:
[0073] When the user browses the visualization model, determining whether the user meets the condition of the existence of the supplementary adaptability evaluation intention;
[0074] When it is in compliance, the setting area is filtered out from the visualization model based on the setting area filtering condition;
[0075] Setting the preset supplementary adaptability evaluation requirement input window in the setting area;
[0076] Acquiring the supplementary adaptability evaluation requirements input by the user based on the supplementary adaptability evaluation requirements input window;
[0077] Respond to supplementary adaptability evaluation requirements and obtain supplementary adaptability evaluation results;
[0078] Based on the model information configuration template, the visualization model is supplemented with model information configuration according to the supplementary adaptability evaluation results;
[0079] Among them, the conditions for the intention to conduct additional adaptability evaluation include:
[0080] The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set contains different browsing dwelling times of multiple visualization information of the same information type in the visualization model that the user browsed within the first time period that was recently preset;
[0081] or,
[0082] The user does not operate the visualization model continuously within a preset second time after the target time; the target time is the time when the total browsing time of the visualization model by the user reaches a preset time threshold, or the time when the operation type of the visualization model operated by the user matches the trigger operation type in the preset trigger operation type library;
[0083] or,
[0084] User input supplemental fitness evaluation request;
[0085] The area screening conditions include:
[0086] Set the region state of the region to idle;
[0087] The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target circle center and the straight line direction from the target circle center to the area center of the set area; the target circle center is the center of the minimum enclosing circle that encloses the operation start position.
[0088] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.
[0089] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0090] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0091] Figure 1 Schematic diagram of a method for evaluating the adaptability of an energy storage battery under various working conditions in an embodiment of the present invention;
[0092] Figure 2 Schematic diagram of an energy storage battery adaptability evaluation system under various working conditions in an embodiment of the present invention. DETAILED DESCRIPTION
[0093] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0094] The embodiment of the present invention provides a method for evaluating the adaptability of energy storage batteries under various working conditions, such as Figure 1 As shown, including:
[0095] Step S1: Collecting operating information of the energy storage battery under various working conditions;
[0096] Step S2: Based on the operation information, the adaptability of the energy storage battery is evaluated;
[0097] Step S3: Visually output the evaluation results.
[0098] In this embodiment, the operating information includes: charging and discharging process information of the energy storage battery, temperature difference change rate information at adjacent moments, SOC information, SOH information, battery voltage, battery current and chargeable and dischargeable capacity, etc.; based on the operating information, the adaptability of the energy storage battery can be evaluated and the adaptability evaluation result can be output.
[0099] The present invention automatically collects the operating information of the energy storage battery under various working conditions, and performs adaptability evaluation on the energy storage battery based on the operating information. There is no need for experts to manually evaluate the adaptability of the energy storage battery under various working conditions, which reduces labor costs and greatly improves the efficiency of adaptability evaluation.
[0100] In one embodiment, step S1: collecting operating information of the energy storage battery under various working conditions, including:
[0101] Ongoing implementation, including:
[0102] Obtain the current working condition of the energy storage battery;
[0103] Determine whether the current operating conditions meet the entry conditions for operation information collection;
[0104] When it meets the requirements, the current operation information of the energy storage battery is collected;
[0105] Among them, the entry conditions for operation information collection include:
[0106] The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold;
[0107] or,
[0108] The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to multiple working condition characteristics of the current working condition in the preset value library;
[0109] or,
[0110] The current working condition exists in the preset trigger working condition library.
[0111] In this embodiment, the current working condition may be an energy storage task being performed by the energy storage battery, etc.; if the current working condition meets the entry condition for the operation information collection opportunity, it means that it is necessary to collect the operation information of the energy storage battery under the current working condition; reduce collection resources and improve collection efficiency; the number threshold may be, for example: 5; the first similarity threshold may be, for example: 85%; the duration threshold may be, for example: 15 days; the earliest timestamp is the earliest time when the target historical working condition is generated, and the current timestamp is the current time; when the first similarity is larger, it means that the operation information of the energy storage battery under similar target historical working conditions has been collected in history, and it is less meaningful to collect it again. However, the performance of the energy storage battery will change with the increase of the time it is put into use. Therefore, if the time from the earliest timestamp of the target historical working condition to the current timestamp is less than or equal to the duration threshold, it means that the target historical working condition is recently generated, otherwise it is not recently generated and there is a meaning for collection; therefore, setting the first operation information collection opportunity entry condition can effectively and quickly confirm Determine whether the current working condition has the meaning of collection, thereby improving the collection efficiency; the value threshold can be, for example, 75; the working condition characteristics can be, for example, the content characteristics of the energy storage task being performed by the energy storage battery, etc.; there are values corresponding to different working condition characteristics in the value library. The greater the value, the greater the significance of collecting the operating information of the energy storage battery under the current working condition. The value can be set in advance by technical personnel according to actual needs. For example, technical personnel are more inclined to check the adaptability of the energy storage battery under complex energy storage tasks, so the value of the content characteristics of the complex energy storage task can be set to a higher value. Therefore, setting the second entry condition for the operation information collection time further improves the collection efficiency and is more humane; if the current working condition exists in the trigger working condition library, it means that it is more meaningful to directly determine the current working condition to collect the operating information of the energy storage battery. Technical personnel can store the working conditions that urgently need to check the adaptability in the trigger working condition library in advance, which further improves the collection efficiency and is more humane.
[0112] In one embodiment, step S2: based on the operation information, evaluating the adaptability of the energy storage battery includes:
[0113] Obtain a preset adaptability evaluation index library;
[0114] Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in turn;
[0115] During each traversal, based on the traversed adaptability evaluation indicators and the operation information, the adaptability of the energy storage battery is evaluated to obtain the evaluation result items;
[0116] After traversing the adaptability evaluation indicators, the evaluation result items obtained during each traversal are integrated to obtain the evaluation results.
[0117] In this embodiment, the adaptability evaluation indicators include: whether the voltage is too high, whether the temperature is too high, whether the temperature difference between adjacent moments changes too fast, etc. The adaptability evaluation indicators can be extracted and set by technical personnel according to actual needs; the adaptability evaluation indicators are traversed in sequence, and each time the traversal is performed, the adaptability of the energy storage battery is evaluated according to the operating information using the traversed adaptability evaluation indicators to obtain evaluation result items. After the traversal is completed, all evaluation result items are integrated to obtain the evaluation results.
[0118] In one embodiment, step S3: visually outputting the evaluation results includes:
[0119] Get the preset visualization model;
[0120] Get the preset model information configuration template;
[0121] Based on the model information configuration template, the model information of the visualization model is configured according to the evaluation results;
[0122] Output the visual model after the model information configuration is completed.
[0123] In this embodiment, the visualization model is an interface model for displaying the evaluation results, in which there are windows for placing different types of data in the evaluation results, such as: adaptability evaluation score window, etc.; the model information configuration template is a template for the system to configure the model information of the visualization model according to the reference, for example: setting the adaptability evaluation score in the evaluation result in the adaptability evaluation score window; based on the model information configuration template, the visualization model is configured with model information according to the evaluation results, and then the visualization model is output, and the user can view the evaluation results intuitively and clearly through the visualization model.
[0124] In one embodiment, the method for evaluating the adaptability of an energy storage battery under various working conditions further includes:
[0125] When the user browses the visualization model, determining whether the user meets the condition of the existence of the supplementary adaptability evaluation intention;
[0126] When it is in compliance, the setting area is filtered out from the visualization model based on the setting area filtering condition;
[0127] Setting the preset supplementary adaptability evaluation requirement input window in the setting area;
[0128] Acquiring the supplementary adaptability evaluation requirements input by the user based on the supplementary adaptability evaluation requirements input window;
[0129] Respond to supplementary adaptability evaluation requirements and obtain supplementary adaptability evaluation results;
[0130] Based on the model information configuration template, the visualization model is supplemented with model information configuration according to the supplementary adaptability evaluation results;
[0131] Among them, the conditions for the intention to conduct additional adaptability evaluation include:
[0132] The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set contains different browsing dwelling times of multiple visualization information of the same information type in the visualization model that the user browsed within the first time period that was recently preset;
[0133] or,
[0134] The user does not operate the visualization model continuously within a preset second time after the target time; the target time is the time when the total browsing time of the visualization model by the user reaches a preset time threshold, or the time when the operation type of the visualization model operated by the user matches the trigger operation type in the preset trigger operation type library;
[0135] or,
[0136] User input supplemental fitness evaluation request;
[0137] The area screening conditions include:
[0138] Set the region state of the region to idle;
[0139] The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target circle center and the straight line direction from the target circle center to the area center of the set area; the target circle center is the center of the minimum enclosing circle that encloses the operation start position.
[0140] In this embodiment, when the user browses the visualization model, the user may have the intention to conduct a supplementary adaptability evaluation on the energy storage battery, for example, he wants to check the adaptability of the energy storage battery under which working condition, etc.; the embodiment of the present invention introduces the condition of the existence of the intention of supplementary adaptability evaluation, identifies whether the user has the intention of supplementary adaptability evaluation, and when the user meets the condition of the existence of the intention of supplementary adaptability evaluation, the intention exists; when the intention exists, a suitable setting area is selected from the visualization model, and the supplementary adaptability evaluation requirement input window is set in the setting area; the supplementary adaptability evaluation requirement input window is an information input window, and the user can enter the supplementary adaptability evaluation requirement in the window, for example, collect the operation of the energy storage battery under which working condition information, supplement the adaptability evaluation, etc.; when the user inputs the supplementary adaptability evaluation requirements, the system will respond, for example: collect the operating information of the energy storage battery under the corresponding working conditions, and supplement the adaptability evaluation; similarly, based on the model information configuration template, according to the supplementary adaptability evaluation results, the visualization model is supplemented with model information configuration, and the user can view the results of the supplementary adaptability evaluation based on the visualization model; the introduction of the supplementary adaptability evaluation intention condition does not require the user to enter the supplementary adaptability evaluation request by himself, which is very user-friendly and interacts with the user, improving the user experience. In addition, it can meet the user's intention to supplement the adaptability evaluation of the energy storage battery, greatly improving the applicability of the system;
[0141] The first time may be, for example, 8 minutes; the second similarity threshold may be, for example, 70%; if the second similarity between the target duration set and the standard duration set is large, it means that the user may be dissatisfied with the current adaptability evaluation result, for example, the set elements in the standard duration set are 30 seconds, 2 seconds, 3 seconds, 1 second, etc., which means that when the user browses multiple visualization information of the same information type, he quickly glanced at some visualization information, and the different working conditions corresponding to the collected operating information may be relatively close, so the evaluation result is meaningless; the information type may be, for example, the adaptability evaluation score of the energy storage battery under a certain working condition, etc., and the visualization information may be, for example, a window for placing the adaptability evaluation score of the energy storage battery under a certain working condition, etc.; the browsing stay time starts from the time when the user starts to view the visualization information (for example, the user clicks to expand the information) until the user starts to view other information (for example, the user clicks to expand other information) and stops the timing to obtain the timing time; therefore, setting the first condition of the existence of the intention to supplement the adaptability evaluation can accurately identify the user's intention to supplement the adaptability evaluation;
[0142] The second time can be, for example, 3 minutes; the duration threshold can be, for example, 20 minutes; the target moment is the moment representing that the user has basically browsed all the contents in the visualization model, which is divided into two situations: the first is that the total browsing time reaches the duration threshold, indicating that the total browsing time is relatively long; the second is that the operation type of the user's operation on the visualization model matches the trigger operation type, and the trigger operation type is the operation type representing that the user has basically browsed all the contents in the visualization model, such as returning to the information interface viewed for the first time, etc.; when the user continues to not operate the visualization model for a certain period of time after the target moment, it means that the user may be thinking about how to supplement the adaptability evaluation of the energy storage battery, etc.; therefore, setting the second condition of the existence of the intention to supplement the adaptability evaluation can accurately identify that the user has the intention to supplement the adaptability evaluation;
[0143] The third time may be, for example, 100 seconds; the angle threshold may be, for example, 60 degrees; the operation start position and the operation direction may be, for example, when the user drags the visual model to the left, the operation start position is the operation position at the start of the left drag operation (generally, the position where the fingertip first touches the terminal screen for viewing the visual model when the user drags the screen), and the operation direction is to the left; when the user performs an operation, multiple operations may be performed, and multiple sets of one-to-one corresponding operation start positions and operation directions may be generated. Therefore, the target circle center is the center of the minimum enclosing circle enclosing multiple operation start positions; generally, when the user drags the screen to the left, it means that the user first wants to view the screen, information, etc. on the right. Therefore, keeping the vector angle between the first direction vector and the second direction vector less than or equal to the angle threshold can comprehensively ensure that when the input window required by the supplementary adaptability evaluation is set in the set area, it will not block the screen, information, etc. that the user wants to view, thereby improving humanization and improving the user's work efficiency to a certain extent.
[0144] The embodiment of the present invention provides a system for evaluating the adaptability of energy storage batteries under various working conditions, such as Figure 2 As shown, including:
[0145] Operation information collection module 1, used to collect operation information of energy storage batteries under various working conditions;
[0146] Adaptability evaluation module 2, used to evaluate the adaptability of the energy storage battery based on the operation information;
[0147] The visualization output module 3 is used to visualize and output the evaluation results.
[0148] The operation information collection module 1 collects the operation information of the energy storage battery under various working conditions, including:
[0149] Ongoing implementation, including:
[0150] Obtain the current working condition of the energy storage battery;
[0151] Determine whether the current operating conditions meet the entry conditions for operation information collection;
[0152] When it meets the requirements, the current operation information of the energy storage battery is collected;
[0153] Among them, the entry conditions for operation information collection include:
[0154] The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold;
[0155] or,
[0156] The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to multiple working condition characteristics of the current working condition in the preset value library;
[0157] or,
[0158] The current working condition exists in the preset trigger working condition library.
[0159] The adaptability evaluation module 2 performs adaptability evaluation on the energy storage battery based on the operation information, including:
[0160] Obtain a preset adaptability evaluation index library;
[0161] Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in turn;
[0162] During each traversal, based on the traversed adaptability evaluation indicators and the operation information, the adaptability of the energy storage battery is evaluated to obtain the evaluation result items;
[0163] After traversing the adaptability evaluation indicators, the evaluation result items obtained during each traversal are integrated to obtain the evaluation results.
[0164] The visual output module 3 visually outputs the evaluation results, including:
[0165] Get the preset visualization model;
[0166] Get the preset model information configuration template;
[0167] Based on the model information configuration template, the model information of the visualization model is configured according to the evaluation results;
[0168] Output the visual model after the model information configuration is completed.
[0169] The energy storage battery adaptability evaluation system under various working conditions also includes:
[0170] Supplementary adaptability assessment modules to include:
[0171] When the user browses the visualization model, determining whether the user meets the condition of the existence of the supplementary adaptability evaluation intention;
[0172] When it is in compliance, the setting area is filtered out from the visualization model based on the setting area filtering condition;
[0173] Setting the preset supplementary adaptability evaluation requirement input window in the setting area;
[0174] Acquiring the supplementary adaptability evaluation requirements input by the user based on the supplementary adaptability evaluation requirements input window;
[0175] Respond to supplementary adaptability evaluation requirements and obtain supplementary adaptability evaluation results;
[0176] Based on the model information configuration template, the visualization model is supplemented with model information configuration according to the supplementary adaptability evaluation results;
[0177] Among them, the conditions for the intention to conduct additional adaptability evaluation include:
[0178] The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set contains different browsing dwelling times of multiple visualization information of the same information type in the visualization model that the user browsed within the first time period that was recently preset;
[0179] or,
[0180] The user does not operate the visualization model continuously within a preset second time after the target time; the target time is the time when the total browsing time of the visualization model by the user reaches a preset time threshold, or the time when the operation type of the visualization model operated by the user matches the trigger operation type in the preset trigger operation type library;
[0181] or,
[0182] User input supplemental fitness evaluation request;
[0183] The area screening conditions include:
[0184] Set the region state of the region to idle;
[0185] The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target circle center and the straight line direction from the target circle center to the area center of the set area; the target circle center is the center of the minimum enclosing circle that encloses the operation start position.
[0186] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A method for evaluating the adaptability of energy storage batteries under various working conditions, characterized in that: include: Step S1: Collecting operating information of the energy storage battery under various working conditions; Step S2: Based on the operation information, performing adaptability evaluation on the energy storage battery; Step S3: Visually output the evaluation results; The step S3: visually outputting the evaluation results comprises: Get the preset visualization model; Get the preset model information configuration template; Based on the model information configuration template, and according to the evaluation result, performing model information configuration on the visualization model; Output the visualization model after the model information configuration is completed; Also includes: When the user browses the visualization model, determining whether the user meets the condition of having an intention to supplement the adaptability evaluation; When the condition is met, based on the setting area screening condition, the setting area is screened out from the visualization model; Setting a preset supplementary adaptability evaluation requirement input window in the setting area; Acquiring the supplementary adaptability evaluation requirement input by the user based on the supplementary adaptability evaluation requirement input window; Responding to the supplementary adaptability evaluation requirement, obtaining a supplementary adaptability evaluation result; Based on the model information configuration template, and according to the supplementary adaptability evaluation result, supplementing model information configuration for the visualization model; Among them, the conditions for the intention to conduct supplementary adaptability evaluation include: The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set includes different browsing dwelling times of multiple visualization information of the same information type in the visualization model browsed by the user within the first time period preset recently; or, The user continues not to operate the visualization model within a preset second time after the target time; the target time is the time when the total browsing time of the user browsing the visualization model reaches a preset time threshold, or the time when the operation type of the user operating the visualization model matches the trigger operation type in the preset trigger operation type library; or, The user inputs a request for supplementary adaptability evaluation; The setting area screening conditions include: The area status of the setting area is idle; The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the user's operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target center and the straight line direction from the target center to the area center of the set area; the target center is the center of the minimum enclosing circle that encloses the operation start position.
2. The method for evaluating the adaptability of energy storage batteries under various working conditions as claimed in claim 1, characterized in that: The step S1: collecting the operating information of the energy storage battery under various working conditions, including: Ongoing implementation, including: Obtaining the current operating condition of the energy storage battery; Determine whether the current operating condition meets the entry conditions for operation information collection; When the conditions are met, collecting the current operation information of the energy storage battery; The entry conditions for the operation information collection opportunity include: The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold; or, The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to the multiple working condition characteristics of the current working condition in the preset value library; or, The current operating condition exists in a preset triggering operating condition library.
3. The method for evaluating the adaptability of energy storage batteries under various working conditions as claimed in claim 1, characterized in that: The step S2: based on the operation information, evaluating the adaptability of the energy storage battery includes: Obtain a preset adaptability evaluation index library; Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in sequence; During each traversal, based on the traversed adaptability evaluation index and according to the operation information, the adaptability of the energy storage battery is evaluated to obtain an evaluation result item; After the traversal of the adaptability evaluation index is completed, the evaluation result items obtained in each traversal are integrated to obtain the evaluation result.
4. The energy storage battery adaptability evaluation system under various working conditions is characterized by: include: Operation information collection module, used to collect operation information of energy storage batteries under various working conditions; An adaptability evaluation module, used to perform adaptability evaluation on the energy storage battery based on the operation information; Visual output module, used to visualize the evaluation results; The visual output module visually outputs the evaluation results, including: Get the preset visualization model; Get the preset model information configuration template; Based on the model information configuration template, and according to the evaluation result, performing model information configuration on the visualization model; Output the visualization model after the model information configuration is completed; Also includes: Supplementary adaptability assessment modules to include: When the user browses the visualization model, determining whether the user meets the condition of having an intention to supplement the adaptability evaluation; When the condition is met, based on the setting area screening condition, the setting area is screened out from the visualization model; Setting a preset supplementary adaptability evaluation requirement input window in the setting area; Acquiring the supplementary adaptability evaluation requirement input by the user based on the supplementary adaptability evaluation requirement input window; Responding to the supplementary adaptability evaluation requirement, obtaining a supplementary adaptability evaluation result; Based on the model information configuration template, and according to the supplementary adaptability evaluation result, supplementing model information configuration for the visualization model; Among them, the conditions for the intention to conduct supplementary adaptability evaluation include: The second similarity between the target duration set and the standard duration set in the preset standard duration set library is greater than or equal to a preset second similarity threshold; the target duration set includes different browsing dwelling times of multiple visualization information of the same information type in the visualization model browsed by the user within the first time period preset recently; or, The user continues not to operate the visualization model within a preset second time after the target time; the target time is the time when the total browsing time of the user browsing the visualization model reaches a preset time threshold, or the time when the operation type of the user operating the visualization model matches the trigger operation type in the preset trigger operation type library; or, The user inputs a request for supplementary adaptability evaluation; The setting area screening conditions include: The area status of the setting area is idle; The vector angle between the first direction vector and the second direction vector is less than or equal to a preset angle threshold; the first direction vector is constructed based on the operation start position and operation direction of the user's operation on the visualization model within the third time most recently preset by the user; the second direction vector is constructed based on the target center and the straight line direction from the target center to the area center of the set area; the target center is the center of the minimum enclosing circle that encloses the operation start position.
5. The energy storage battery adaptability evaluation system under various working conditions as claimed in claim 4, characterized in that: The operation information collection module collects the operation information of the energy storage battery under various working conditions, including: Ongoing implementation, including: Obtaining the current operating condition of the energy storage battery; Determine whether the current operating condition meets the entry conditions for operation information collection; When the conditions are met, collecting the current operation information of the energy storage battery; The entry conditions for the operation information collection opportunity include: The number of target historical operating conditions in the preset operation information collection record library is less than or equal to the preset number threshold; the first similarity between the target historical operating condition and the current operating condition is greater than or equal to the preset first similarity threshold; the duration from the earliest timestamp of the target historical operating condition to the current timestamp is less than or equal to the preset duration threshold; or, The total value of the current working condition is greater than or equal to a preset value threshold; the total value is the sum of the values corresponding to the multiple working condition characteristics of the current working condition in the preset value library; or, The current operating condition exists in a preset triggering operating condition library.
6. The energy storage battery adaptability evaluation system under various working conditions as claimed in claim 4, characterized in that: The adaptability evaluation module performs adaptability evaluation on the energy storage battery based on the operation information, including: Obtain a preset adaptability evaluation index library; Traversing the adaptability evaluation indicators in the adaptability evaluation indicator library in sequence; During each traversal, based on the traversed adaptability evaluation index and according to the operation information, the adaptability of the energy storage battery is evaluated to obtain an evaluation result item; After the traversal of the adaptability evaluation index is completed, the evaluation result items obtained in each traversal are integrated to obtain the evaluation result.
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