Vehicle electric cabinet collaborative energy sharing management system

Abstract

The invention relates to the technical field of energy sharing management, and discloses a vehicle electric cabinet collaborative energy sharing management system, which comprises a vehicle electric cabinet management module, an environment monitoring module, a battery charging information module and an analysis unit, and is characterized in that each vehicle electric cabinet in a target area is numbered; acquiring environment information data of each vehicle electric cabinet through an environment monitoring module; acquiring charging information data of each battery in a past preset time period through a battery charging information module; and finally, performing analysis according to the environment monitoring information data and the charging information data through an analysis unit to obtain a state index of each battery, performing state rating on each battery according to the state index of each battery, and judging a charging mode of each battery according to the state rating of each battery. According to the invention, the automatic evaluation of the battery state is realized, and the corresponding charging mode is automatically matched, so that the utilization rate of the vehicle electric cabinet is improved to the greatest extent, the service life of the battery is effectively prolonged, and the potential safety risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy sharing management, and particularly relates to a vehicle-battery cabinet collaborative energy sharing management system. Background Art

[0002] With the booming development of the takeaway industry, charging cabinets (especially battery swapping cabinets), as the core infrastructure for solving the range anxiety problem of riders and optimizing the delivery efficiency, have become increasingly important.

[0003] The charging cabinet integrates multiple charging interfaces and an intelligent management system through a cabinet design, realizing the centralized storage, quick replacement, and efficient charging of batteries; riders only need to put the depleted battery into the cabinet and can quickly take out a fully charged battery through simple operations such as scanning a code or swiping a card to continue the delivery work; the intelligent management system is the "brain" of the charging cabinet, which can monitor information such as the charging status, remaining battery ratio, and usage frequency of the battery in real time, providing accurate data support for operators.

[0004] However, the above technology still has relatively large defects. For example, the batteries in the above technology generally have large capacity specifications, and a long charging cycle is usually required when using the slow charging mode. During the peak period of the delivery business, when a large number of riders concentrate on battery replacement, the limited inventory of fully charged batteries in the charging cabinet will be quickly exhausted; due to the limited slow charging replenishment efficiency of the subsequent batteries, it is difficult to restore the reserve of fully charged batteries in a short time, which may lead to a long battery waiting cycle for riders, thereby having a negative impact on the overall delivery timeliness; if the fast charging mode is adopted, although the single charging duration can be significantly shortened, there are relatively high safety hazards for batteries with low battery health during the fast charging process. Summary of the Invention

[0005] The purpose of the present invention is to provide a vehicle-battery cabinet collaborative energy sharing management system to solve the above technical problems: The purpose of the present invention can be achieved through the following technical solutions: A vehicle-battery cabinet collaborative energy sharing management system, the system includes: A vehicle-battery cabinet management module for numbering each vehicle-battery cabinet in the target area; Multiple environmental monitoring modules, corresponding to the vehicle-battery cabinets one by one, for obtaining environmental information data of each vehicle-battery cabinet; Multiple battery charging information modules, corresponding to the batteries one by one, are arranged in the corresponding batteries for obtaining the charging information data of each battery in the past preset time period; An analysis unit for analyzing according to the environmental monitoring information data and the charging information data to obtain the state index of each battery, rating the state of each battery according to the state index of each battery, and determining the charging mode of each battery according to the state rating of each battery.

[0006] As a further solution of the present invention: the environmental information data includes the real-time environmental temperature and the real-time environmental humidity; the charging information data includes the number of charging times, the charging mode for each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power.

[0007] As a further solution of the present invention: the process of obtaining the state index of any battery is as follows: S1: When the user replaces the battery, electrically connect the battery to the battery replacement cabinet, and obtain the number of charging times of the battery in the past preset time period, the charging mode for each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power; S2: Obtain the environmental information data of each vehicle battery cabinet through the environmental monitoring module according to the vehicle battery cabinet number; S3: Analyze according to the number of charging times of the battery in the past preset time period, the charging mode for each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, the real-time charging power, and the environmental information data to obtain the state index of the battery.

[0008] As a further solution of the present invention: through the formula: ; Calculate the state index of any battery ; Wherein, is any battery; is the number of charging times in the fast charging mode of the battery in the past preset time period, ; is the influence coefficient of the th fast charging mode charging of the battery; is the duration of the remaining power ratio of the th fast charging mode charging of the battery from the first preset power ratio to the second preset power ratio; is the preset duration of the remaining power ratio of the battery in the fast charging mode from the first preset power ratio to the second preset power ratio; is the number of charging times in the slow charging mode of the battery in the past preset time period, ; is the influence coefficient of the th slow charging mode charging of the battery; is the duration of the remaining power ratio of the th slow charging mode charging of the battery from the first preset power ratio to the second preset power ratio; is the preset duration of the remaining power ratio of the battery in the slow charging mode from the first preset power ratio to the second preset power ratio; is the basic state index; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant.

[0009] As a further solution of the present invention: through the formula: ; calculate the influence coefficient of the -th fast charging mode charging of the battery in the past; wherein, is a judgment function. When , ; when , ; is the environmental temperature influence index of the -th fast charging mode charging of the battery in the past; is the environmental humidity influence index of the -th fast charging mode charging of the battery in the past; is the charging power influence index of the -th fast charging mode charging of the battery in the past; is the time for the remaining battery power ratio of the -th fast charging mode charging of the battery to charge to the first preset power ratio; is the time for the remaining battery power ratio of the -th fast charging mode charging of the battery to charge to the second preset power ratio; is the curve of the real-time environmental temperature changing with time during the -th fast charging mode charging of the battery in the past; is the preset environmental temperature; is the preset error value of the environmental temperature; is the curve of the real-time environmental humidity changing with time during the -th fast charging mode charging of the battery in the past; is the preset environmental humidity; is the preset error value of the environmental humidity; is the curve of the real-time charging power changing with time during the -th fast charging mode charging of the battery in the past; is the preset charging power in the fast charging mode; is the environmental temperature influence weight coefficient; is the environmental humidity influence weight coefficient; is the charging power influence weight coefficient; is the first adjustment preset constant; is the second adjustment preset constant; is the third adjustment preset constant.

[0010] As a further solution of the present invention: Through the formula: ; calculate the influence coefficient for the -th slow charge mode charging of the battery in the past; wherein, is the environmental temperature influence index for the -th slow charge mode charging of the battery in the past; is the environmental humidity influence index for the -th slow charge mode charging of the battery in the past; is the charging power influence index for the -th slow charge mode charging of the battery in the past; is the time for the remaining battery power to charge to the first preset power ratio for the -th slow charge mode charging of the battery in the past; is the time for the remaining battery power to charge to the second preset power ratio for the -th slow charge mode charging of the battery in the past; is the curve of the real-time environmental temperature changing with time for the -th slow charge mode charging of the battery in the past; is the curve of the real-time environmental humidity changing with time for the -th slow charge mode charging of the battery in the past; is the curve of the real-time charging power changing with time for the -th slow charge mode charging of the battery in the past; is the preset charging power for the slow charge mode.

[0011] As a further solution of the present invention: The rating process of any battery is as follows: When , the status rating of the battery is excellent; When , the status rating of the battery is aging; When , the status rating of the battery is abnormal; wherein, is the first preset value.

[0012] As a further solution of the present invention: The determination process of any battery charging mode is as follows: When the status rating of the battery is excellent, the charging mode is the fast charge mode; When the status rating of the battery is aging, the charging mode is the slow charge mode; When the status rating of the battery is abnormal, the charging mode is the warning mode.

[0013] The beneficial effects of the present invention: The present invention first numbers each vehicle battery cabinet within the target area; then obtains the environmental information data of each vehicle battery cabinet through the environmental monitoring module; the battery charging information module set within the corresponding battery obtains the charging information data of each battery in the past preset time period; finally, the analysis unit analyzes based on the environmental monitoring information data and the charging information data to obtain the state index of each battery, and conducts a state rating on each battery according to the state index of each battery, and determines the charging mode of each battery according to the state rating of each battery; realizing the automatic evaluation of the battery state and automatically matching the corresponding charging mode, thereby maximizing the utilization rate of the vehicle battery cabinet, effectively prolonging the service life of the battery, and reducing potential safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 It is a system module framework diagram of an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Please refer to Figure 1 As shown, in one embodiment, a vehicle battery cabinet collaborative energy sharing management system is provided, and the system includes: A vehicle battery cabinet management module for numbering each vehicle battery cabinet within the target area; A plurality of environmental monitoring modules, corresponding to the vehicle battery cabinets one by one, for obtaining the environmental information data of each vehicle battery cabinet; A plurality of battery charging information modules, corresponding to the batteries one by one, set within the corresponding battery, for obtaining the charging information data of each battery in the past preset time period; An analysis unit for analyzing based on the environmental monitoring information data and the charging information data to obtain the state index of each battery, and conducting a state rating on each battery according to the state index of each battery, and determining the charging mode of each battery according to the state rating of each battery; Through the above technical solution, in this embodiment, each vehicle battery cabinet in the target area is first numbered; then the environmental information data of each vehicle battery cabinet is obtained through the environmental monitoring module; the charging information data of each battery in the past preset time period is obtained through the battery charging information module arranged in the corresponding battery; finally, the analysis unit analyzes according to the environmental monitoring information data and the charging information data to obtain the state index of each battery, and conducts a state rating on each battery according to the state index of each battery, and determines the charging mode of each battery according to the state rating of each battery; realizing the automatic evaluation of the battery state and automatically matching the corresponding charging mode, thereby maximizing the utilization rate of the vehicle battery cabinet, effectively prolonging the service life of the battery, and reducing potential safety risks.

[0018] As an implementation manner of the present invention, the charging mode includes a warning mode, a fast charging mode, and a slow charging mode.

[0019] As an implementation manner of the present invention, the environmental information data includes the real-time environmental temperature and the real-time environmental humidity; the charging information data includes the number of charging times and the charging mode of each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power.

[0020] As an implementation manner of the present invention, the process of obtaining the state index of any battery is as follows: S1: When the user replaces the battery, the battery is electrically connected to the battery replacement cabinet, and the number of charging times and the charging mode of each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power of the battery in the past preset time period are obtained; S2: According to the vehicle battery cabinet number, the environmental information data of each vehicle battery cabinet is obtained through the environmental monitoring module; S3: Analyze according to the number of charging times and the charging mode of each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power of the battery in the past preset time period and the environmental information data to obtain the state index of the battery; Through the above technical solution, in this embodiment, when the user replaces the battery, the battery is electrically connected to the battery replacement cabinet, and the number of charging times and the charging mode of each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power of the battery in the past preset time period are obtained; then the environmental information data of each vehicle battery cabinet is obtained through the environmental monitoring module according to the vehicle battery cabinet number; finally, analyze according to the number of charging times and the charging mode of each charging, the change curve of the remaining power over time, the vehicle battery cabinet number, and the real-time charging power of the battery in the past preset time period and the environmental information data to obtain the state index of the battery.

[0021] As an implementation manner of the present invention, through the formula: ; Calculate the state index of any battery ; Wherein, is any battery; is the number of fast charging mode charges of the battery within a preset period in the past, ; is the influence coefficient of the th fast charging mode charge of the battery in the past; is the duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during the th fast charging mode charge in the past; is the preset duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during fast charging mode charging; is the number of slow charging mode charges of the battery within a preset period in the past, ; is the influence coefficient of the th slow charging mode charge of the battery in the past; is the duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during the th slow charging mode charge in the past; is the preset duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during slow charging mode charging; is the basic state index; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant; Through the above technical solution, in this embodiment is the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during the th fast charging mode charge under the influence state of external factors (ambient temperature, ambient humidity, and actual charging power) of the battery in the past, and it is the th preset duration; is the difference between the duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during the th fast charging mode charge in the past and the th preset duration; is the average difference between the duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during each fast charging mode charge within a preset period in the past and the corresponding preset duration; when , it indicates that the duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during each fast charging mode charge within a preset period in the past exceeds the corresponding preset duration, the state of the battery is poor, and the state index of the battery Higher than the basic state index ; and the greater the average difference, the worse the state of the battery, and the state index of the battery is greater; when , it indicates that the remaining power ratio of each fast charging mode charging of the battery in the past preset time period from the first preset power ratio to the second preset power ratio does not exceed the corresponding preset duration, the state of the battery is good, and the state index of the battery is lower than the basic state index ; and the greater the absolute value of the average difference, the better the state of the battery, and the state index of the battery is smaller; similarly, is the remaining power ratio of the battery in the past th fast charging mode charging under the influence state of external factors (ambient temperature, ambient humidity and actual charging power) from the first preset power ratio to the second preset power ratio of the th preset duration; is the difference between the duration of the remaining power ratio of the battery in the past th fast charging mode charging from the first preset power ratio to the second preset power ratio and the th preset duration; is the average difference between the duration of the remaining power ratio of each fast charging mode charging of the battery in the past preset time period from the first preset power ratio to the second preset power ratio and the corresponding preset duration; when , it indicates that the duration of the remaining power ratio of each fast charging mode charging of the battery in the past preset time period from the first preset power ratio to the second preset power ratio exceeds the corresponding preset duration, the state of the battery is poor, and the state index of the battery is higher than the basic state index ; and the greater the average difference, the worse the state of the battery, and the state index of the battery is greater; when , it indicates that the duration of the remaining power ratio of each fast charging mode charging of the battery in the past preset time period from the first preset power ratio to the second preset power ratio does not exceed the corresponding preset duration, the state of the battery is good, and the state index of the battery is lower than the basic state index ; and the greater the absolute value of the average difference, the better the state of the battery, and the state index of the battery is smaller; It should be noted that the preset duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during fast charging mode charging , the preset duration of the remaining power ratio of the battery from the first preset power ratio to the second preset power ratio during slow charging mode charging , the basic state index , the first weight coefficient , the second weight coefficient and the first preset constant and the second preset constant are preset values obtained based on experience and will not be elaborated here.

[0022] As an implementation manner of the present invention, through the formula: ; calculate the influence coefficient of the th fast charging mode charging of this battery ; wherein, is a judgment function. When , ; when , ; is the environmental temperature influence index of the th fast charging mode charging of this battery; is the environmental humidity influence index of the th fast charging mode charging of this battery; is the charging power influence index of the th fast charging mode charging of this battery; is the time for the remaining battery power of the th fast charging mode charging of this battery to charge to the first preset battery power ratio; is the time for the remaining battery power of the th fast charging mode charging of this battery to charge to the second preset battery power ratio; is the curve of the real-time environmental temperature changing with time during the th fast charging mode charging of this battery; is the preset environmental temperature; is the preset error value of the environmental temperature; is the curve of the real-time environmental humidity changing with time during the th fast charging mode charging of this battery; is the preset environmental humidity; is the preset error value of the environmental humidity; is the curve of the real-time charging power changing with time during the th fast charging mode charging of this battery; is the preset charging power in the fast charging mode; is the environmental temperature influence weight coefficient; is the environmental humidity influence weight coefficient; is the charging power influence weight coefficient; is the first adjustment preset constant; is the second adjustment preset constant; is the third adjustment preset constant; Through the above technical solution, in this embodiment is the absolute value of the first fast charging temperature difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process of the battery in the past th fast charging mode; is the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process of the battery in the past th fast charging mode, and the second fast charging temperature difference from the preset error value of the ambient temperature; in the formula , the judgment function in refers to , which is used to judge whether the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process of the battery in the past th fast charging mode exceeds the preset error value of the ambient temperature; when , it indicates that the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process of the battery in the past th fast charging mode exceeds the preset error value of the ambient temperature; therefore, the real-time ambient temperature will reduce the charging speed of the battery; and the second fast charging temperature difference is larger, the charging speed is slower, ; when , it indicates that the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process of the battery in the past th fast charging mode does not exceed the preset error value of the ambient temperature; therefore, the real-time ambient temperature will not reduce the charging speed of the battery; ; is the cumulative temperature influence value when the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature during the charging process of the battery in the past th fast charging mode exceeds the preset error value of the ambient temperature. The larger the cumulative temperature influence value, the greater the influence on the charging speed. Therefore, the ambient temperature influence index of the battery's past th fast charging mode is larger, and the influence coefficient of the battery's past th fast charging mode is larger; similarly, is the absolute value of the first fast charging humidity difference between the real-time ambient humidity and the preset ambient humidity at any moment during the charging process of the battery in the past th fast charging mode; is the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity at any moment during the charging process of the battery in the past th fast charging mode, and the second fast charging humidity difference from the preset error value of the ambient humidity; in the formula , the judgment function in refers to and is used to determine whether the absolute value of the difference between the real-time ambient humidity at any moment during the -th fast charging mode charging process of the battery and the preset ambient humidity exceeds the preset ambient humidity error value; when it indicates that the absolute value of the difference between the real-time ambient humidity at any moment during the -th fast charging mode charging process of the battery and the preset ambient humidity exceeds the preset ambient humidity error value; therefore, the real-time ambient humidity will reduce the charging speed of the battery; and the second fast charging humidity difference is larger, the charging speed is slower, ; when it indicates that the absolute value of the difference between the real-time ambient humidity at any moment during the -th fast charging mode charging process of the battery and the preset ambient humidity does not exceed the preset ambient humidity error value; therefore, the real-time ambient humidity will not reduce the charging speed of the battery; ; is the cumulative humidity influence value when the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity during the -th fast charging mode charging process of the battery exceeds the preset ambient humidity error value. The larger the cumulative humidity influence value, the greater the impact on the charging speed. Therefore, the ambient humidity influence index of the -th fast charging mode charging of the battery is larger, and the influence coefficient of the -th fast charging mode charging of the battery is larger; is the actual average charging power during the -th fast charging mode charging process of the battery; is the fast charging power difference between the preset fast charging power and the actual average charging power during the -th fast charging mode charging process of the battery; when it indicates that the preset fast charging power is greater than the actual average charging power during the -th fast charging mode charging process of the battery; therefore, the actual average charging power will reduce the charging speed of the battery; the larger the fast charging power difference , the slower the charging speed. Therefore, the charging power influence index of the -th fast charging mode charging of the battery is larger, and the influence coefficient of the -th fast charging mode charging of the battery is larger; when it indicates that the preset fast charging power is less than the actual average charging power during the The actual average charging power during the fast charging mode; therefore, the actual average charging power will accelerate the charging speed of the battery; the fast charging power difference The larger the absolute value of is, the faster the charging speed. Therefore, the charging power influence index of the battery during the th fast charging mode is The smaller the influence coefficient of the battery during the th fast charging mode; It should be noted that the first preset power ratio, the second preset power ratio, the preset ambient temperature , the preset error value of the ambient temperature , the preset ambient humidity , the preset error value of the ambient humidity , the preset charging power of the fast charging mode , the ambient temperature influence weight coefficient , the ambient humidity influence weight coefficient , the charging power influence weight coefficient , the first adjustment preset constant , the second adjustment preset constant and the third adjustment preset constant are preset values, obtained based on experience and not elaborated here.

[0023] As an implementation manner of the present invention, through the formula: ; Calculate the influence coefficient of the battery during the th slow charging mode ; Among them, is the ambient temperature influence index of the battery during the th slow charging mode; is the ambient humidity influence index of the battery during the th slow charging mode; is the charging power influence index of the battery during the th slow charging mode; is the time for the remaining power ratio of the battery during the th slow charging mode to charge to the first preset power ratio; is the time for the remaining power ratio of the battery during the th slow charging mode to charge to the second preset power ratio; is the curve of the real-time ambient temperature changing with time of the battery during the th slow charging mode; is the battery during the Curve of the real-time ambient humidity varying with time during slow charging mode charging For the th time of slow charging mode charging, curve of the real-time charging power varying with time Is the preset charging power for slow charging mode Through the above technical solution, in this embodiment The th time of slow charging mode charging, absolute value of the first slow charging temperature difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process For the th time of slow charging mode charging, the second slow charging temperature difference between the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the charging process and the preset error value of the ambient temperature; In the formula , the judgment function In Refers to , used to judge whether the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the th time of slow charging mode charging exceeds the preset error value of the ambient temperature; When , it indicates that the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the th time of slow charging mode charging exceeds the preset error value of the ambient temperature; Therefore, the real-time ambient temperature will reduce the charging speed of the battery; And the second slow charging temperature difference The larger it is, the slower the charging speed ， ; When , it indicates that the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature at any moment during the th time of slow charging mode charging does not exceed the preset error value of the ambient temperature; Therefore, the real-time ambient temperature will not reduce the charging speed of the battery; ; For the th time of slow charging mode charging, the temperature influence cumulative value when the absolute value of the difference between the real-time ambient temperature and the preset ambient temperature exceeds the preset error value of the ambient temperature during the charging process. The larger the temperature influence cumulative value, the greater the influence on the charging speed. Therefore, for the th time of slow charging mode charging, the environmental temperature influence index The larger it is, for the th time of slow charging mode charging, the influence coefficient The larger it is; Similarly, For the th time of slow charging mode charging, absolute value of the first slow charging humidity difference between the real-time ambient humidity and the preset ambient humidity at any moment during the charging process is the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity at any moment during the -th slow charging mode charging process of the battery and the second slow charging humidity difference of the ambient humidity preset error value; in the formula , the judgment function in refers to , which is used to judge whether the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity at any moment during the -th slow charging mode charging process of the battery exceeds the ambient humidity preset error value; when , it indicates that the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity at any moment during the -th slow charging mode charging process of the battery exceeds the ambient humidity preset error value; therefore, the real-time ambient humidity will reduce the charging speed of the battery; and the second slow charging humidity difference is larger, the charging speed is slower, ; when , it indicates that the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity at any moment during the -th slow charging mode charging process of the battery does not exceed the ambient humidity preset error value; therefore, the real-time ambient humidity will not reduce the charging speed of the battery; ; is the humidity influence cumulative value when the absolute value of the difference between the real-time ambient humidity and the preset ambient humidity during the -th slow charging mode charging process of the battery exceeds the ambient humidity preset error value. The larger the humidity influence cumulative value, the slower the charging speed. Therefore, the ambient humidity influence index of the -th slow charging mode charging of the battery is larger, and the influence coefficient of the -th slow charging mode charging of the battery is larger; is the actual average charging power during the -th slow charging mode charging process of the battery; is the slow charging power difference between the preset charging power in the slow charging mode and the actual average charging power during the -th slow charging mode charging process of the battery; when , it indicates that the preset charging power in the slow charging mode is greater than the actual average charging power during the -th slow charging mode charging process of the battery; therefore, the actual average charging power will reduce the charging speed of the battery; the slow charging power difference is larger, the charging speed is slower. Therefore, the charging power influence index of the -th slow charging mode charging of the battery is larger, and the influence coefficient of the Influence coefficient of slow charging mode charging The larger; when it indicates that the preset charging power of the slow charging mode is less than the actual average charging power during the previous slow charging mode charging of this battery; therefore, the actual average charging power will accelerate the charging speed of the battery; the absolute value of the slow charging power difference is larger, the charging speed is faster, so the charging power influence index of the previous slow charging mode charging of this battery is smaller, and the influence coefficient of the previous slow charging mode charging of this battery is smaller; It should be noted that the preset charging power of the slow charging mode is a preset value obtained based on experience and will not be elaborated here.

[0024] As an implementation manner of the present invention, the rating process of any battery is as follows: When the state rating of this battery is excellent; When the state rating of this battery is aging; When the state rating of this battery is abnormal; Among them, is the first preset value; Through the above technical solution, in this embodiment, when it indicates that the state index of this battery is smaller and the battery state is better, indicating that the state rating of this battery is excellent; when it indicates that the state index of this battery is larger and the battery state is worse, and the state rating of this battery is aging; when it indicates that the state index of this battery is very large and the battery state is very poor, and the state rating of this battery is abnormal; It should be noted that the first preset value is a preset value obtained based on experience and will not be elaborated here.

[0025] As an implementation manner of the present invention, the determination process of any battery charging mode is as follows: When the state rating of this battery is excellent, the charging mode is the fast charging mode; When the state rating of this battery is aging, the charging mode is the slow charging mode; When the state rating of this battery is abnormal, the charging mode is the warning mode.

[0026] Through the above technical solution, when the status rating of the battery is excellent, the charging mode is the fast charging mode. In this mode, the system will intelligently match the peak tolerance of the battery and adopt a charging strategy with high voltage and large current, which can replenish the battery power above the safety threshold in a short time and significantly shorten the user's waiting time; when the status rating of the battery is aging, the charging mode is the slow charging mode. At this time, the system will start a protective charging protocol, reduce the charging current, and reduce the risk of thermal runaway of the battery during charging, and extend the battery life as much as possible on the premise of ensuring safety; when the status rating of the battery is abnormal, the charging mode is the warning mode, and the system will immediately cut off the conventional charging path and instead start a fault diagnosis program to provide operation and maintenance support for subsequent maintenance.

[0027] The above has described an embodiment of the present invention in detail, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A vehicle-electric cabinet collaborative energy sharing management system, characterized in that: The system comprises: The vehicle electrical cabinet management module is used to number each vehicle electrical cabinet in the target area; Multiple environmental monitoring modules, corresponding to the vehicle electrical cabinets one by one, are used to obtain environmental information data of each vehicle electrical cabinet; A plurality of battery charging information modules, corresponding to each battery one by one, are arranged in the corresponding battery and are used to obtain charging information data of each battery in the past preset time period; The analysis unit is used to analyze the environmental monitoring information data and the charging information data to obtain the state index of each battery, and to rate the state of each battery according to the state index of each battery, and to determine the charging mode of each battery according to the state rating of each battery.

2. The vehicle-electric cabinet collaborative energy sharing management system according to claim 1 is characterized in that: The environmental information data includes real-time environmental temperature and real-time environmental humidity; the charging information data includes the number of charging times and the charging mode of each charging, the curve of the remaining power changing with time, the vehicle power cabinet number and the real-time charging power.

3. The vehicle-electric cabinet collaborative energy sharing management system according to claim 2 is characterized in that: The process of obtaining the state index of any battery is: S1: When the user replaces the battery, the battery is electrically connected to the battery swap cabinet to obtain the number of times the battery has been charged in the past preset time period and the charging mode of each charge, the curve of the remaining power changing over time, the vehicle battery cabinet number and the real-time charging power; S2: Obtain environmental information data of each vehicle electrical cabinet through the environmental monitoring module according to the vehicle electrical cabinet number; S3: Analyze the number of times the battery has been charged in the past preset time period and the charging mode of each charge, the curve of the remaining power changing over time, the vehicle power cabinet number and the real-time charging power and environmental information data to obtain the battery status index.

4. The vehicle-electric cabinet collaborative energy sharing management system according to claim 3 is characterized in that: By formula: ； Calculate the state index of any battery ; in, For any battery; The number of times the battery has been charged in fast charge mode within a preset period of time. ; For the battery Impact coefficient of charging in sub-fast charging mode; For the battery The time taken for the remaining power ratio of the second fast charge mode to change from the first preset power ratio to the second preset power ratio; a preset time for the remaining power ratio of the battery charged in the fast charging mode to change from a first preset power ratio to a second preset power ratio; The number of times the battery has been charged in slow charging mode within a preset period of time. ; For the battery Impact coefficient of charging in sub-slow charging mode; For the battery The time duration for the remaining power ratio of the secondary slow charging mode to change from the first preset power ratio to the second preset power ratio; A preset time for the remaining power ratio of the battery in the slow charging mode to change from a first preset power ratio to a second preset power ratio; is the basic status index; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant.

5. The vehicle-electric cabinet collaborative energy sharing management system according to claim 4 is characterized in that: By formula: ； Calculate the battery's past Influence coefficient of charging in sub-fast charging mode ; in, is the judgment function, when hour, ;when hour, ; For the battery Ambient temperature impact index of charging in sub-fast charging mode; For the battery Environmental humidity impact index for charging in sub-fast charging mode; For the battery Charging power impact index of sub-fast charging mode; For the battery The time for charging the remaining power ratio of the second fast charge mode to a first preset power ratio; For the battery The time for charging the remaining power ratio of the second fast charge mode to a second preset power ratio; For the battery The curve of the real-time ambient temperature changing with time in the sub-fast charging mode; is the preset ambient temperature; Preset error value for ambient temperature; For the battery The curve of real-time ambient humidity changing with time in the sub-fast charging mode; To preset the ambient humidity; Preset error value for ambient humidity; For the battery The curve of real-time charging power changing with time in sub-fast charging mode; Preset charging power for fast charging mode; is the weight coefficient of ambient temperature; is the weight coefficient of environmental humidity; is the charging power impact weight coefficient; Presetting constants for the first adjustment; Presetting constants for the second adjustment; A constant is preset for the third adjustment.

6. The vehicle-electric cabinet collaborative energy sharing management system according to claim 5 is characterized in that: By formula: ； Calculate the battery's past Influence coefficient of charging in sub-slow charging mode ; in, For the battery Ambient temperature impact index of charging in sub-slow charging mode; For the battery Environmental humidity impact index of charging in slow charging mode; For the battery Charging power impact index of slow charging mode; For the battery The time for charging the remaining power ratio of the second slow charging mode to a first preset power ratio; For the battery The time for charging the remaining power ratio of the second slow charging mode to a second preset power ratio; For the battery The curve of the real-time ambient temperature changing with time in the slow charging mode; For the battery The curve of real-time ambient humidity changing with time in the slow charging mode; For the battery The curve of real-time charging power changing with time in the slow charging mode; Preset charging power for slow charging mode.

7. The vehicle-electric cabinet collaborative energy sharing management system according to claim 6 is characterized in that: The process of rating any battery is: when When , the battery's condition rating is excellent; when When the battery is rated as aged; when When the battery is rated as abnormal; in, is the first preset value.

8. The vehicle-electric cabinet collaborative energy sharing management system according to claim 7 is characterized in that: The process of determining any battery charging mode is: When the battery status rating is excellent, the charging mode is fast charging mode; When the battery status rating is aging, the charging mode is slow charging mode; When the status rating of the battery is abnormal, the charging mode is the warning mode.

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