Dynamic charging management system and state adjusting method thereof

Abstract

The invention relates to the technical field of electric vehicle charging management, and discloses a dynamic charging management system and a state adjusting method thereof, battery data is adaptively monitored through a state monitoring module, the state of a battery is found in time, and the battery state is continuously monitored, so that the battery can be prevented from being overcharged or discharged, and the service life of the battery is prolonged; the charging management module generates a charging strategy according to the battery data and the remaining journey, so that the energy cost can be reduced; the dynamic adjustment module dynamically adjusts the charging parameters according to the charging strategy; the interactive display module displays charging parameters and battery data, provides interactive operation and generates feedback information, so that user experience is improved, a user can adjust charging setting according to personal requirements, the feedback information is generated according to the interactive operation of the user, and the system is helped to better understand the user requirements; the feedback optimization module dynamically adjusts the charging strategy according to the feedback information, and the system can learn the behavior pattern of the user and automatically optimize the charging strategy to improve the efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging management, and in particular to a dynamic charging management system and a state adjustment method thereof. Background Art

[0002] Dynamic charging management systems are currently an important area of ​​research in charging technology. Most of them are intelligent charging of motor vehicles. By precisely controlling the charging process, energy utilization can be maximized and energy waste can be reduced. At the same time, users do not need to worry about battery power and can use electric vehicles or tricycles more conveniently. Due to the ability to charge continuously, electric vehicles or tricycles can use smaller batteries, thereby reducing vehicle weight and improving energy efficiency. However, most of them have not solved how to monitor battery data in real time, generate charging strategies based on preset itineraries and environmental data, and dynamically adjust charging parameters according to charging strategies, while displaying charging parameters and battery data, providing interactive operations to generate feedback information, and dynamically adjusting charging strategies based on feedback information.

[0003] For example, a Chinese patent application with publication number CN106849220A discloses an energy-saving and safe charging management system that changes the traditional charging of electric motorcycles, including a CPU unit, an AC output control unit, a background control unit, a WeChat charging signal transmission unit and a PC output management unit. The energy-saving and safe charging management system that changes the traditional charging of electric motorcycles can centrally manage and charge the electric vehicles in a certain area, eliminating the phenomenon of wire drawing and random connection, and has an automatic power-off function when fully charged, avoiding the chance of fire. In addition, it is equipped with an electronic lock to prevent the electric vehicle from being stolen.

[0004] For example, a Chinese patent with the authorization announcement number CN102110994B discloses an electric vehicle charging station management system including: a charger and a central computer control system, the charger includes a charger computer control system, the charger computer control system is connected to the central computer control system, and the central computer control system controls the charger to charge the electric vehicle battery according to the charging parameters stored in itself that match the electric vehicle battery; and also discloses a method for charging an electric vehicle, before charging, the charger communicates data with the vehicle, the central computer control system obtains the vehicle identification code, the battery identification code and the owner identification code and determines whether to register, and charging can be performed only if it is registered, and the fee can be deducted from the automatic payment account. The advantage is that it can charge batteries of different specifications, and use the charging management system to confirm the identity of the electric vehicle and the owner, and it provides a good solution and management platform for charging charging stations, which also brings a lot of convenience to the owner's payment.

[0005] The above patents have the problems raised by this background technology: the above energy-saving and safe charging management system centrally manages and charges electric vehicles in a certain area through a CPU unit, an AC output control unit, a background control unit, a WeChat charging signal transmission unit and a PC output management unit, eliminating the phenomenon of wire drawing and random connection; the above electric vehicle charging station management system is connected to the central computer control system through the charger computer control system in the charger, and controls the charger to charge the electric vehicle battery according to the charging parameters stored in itself that match the electric vehicle battery. The above two patents do not solve the problem of how to generate a charging strategy by real-time monitoring of battery data, combining preset itinerary and environmental data, and dynamically adjust the charging parameters according to the charging strategy, while displaying the charging parameters and battery data, providing interactive operations to generate feedback information, and dynamically adjusting the charging strategy according to the feedback information. To solve this problem, the present invention proposes a dynamic charging management system and a state adjustment method thereof. Summary of the invention

[0006] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0007] In view of the problems existing in the above-mentioned existing dynamic charging management system and its state adjustment method, the present invention is proposed.

[0008] Therefore, an object of the present invention is to provide a dynamic charging management system and a state adjustment method thereof.

[0009] In order to solve the above technical problems, the present invention provides a dynamic charging management system, including: a state monitoring module, a charging management module, a dynamic adjustment module, an interactive display module and a feedback optimization module;

[0010] The state monitoring module is used to adaptively monitor battery data;

[0011] The charging management module is used to generate a charging strategy based on battery data and remaining range;

[0012] The dynamic adjustment module is used to dynamically adjust the charging parameters according to the charging strategy;

[0013] The interactive display module is used to display charging parameters and battery data, provide interactive operations, and generate feedback information;

[0014] The feedback optimization module is used to dynamically adjust the charging strategy according to the feedback information.

[0015] As a preferred solution of the dynamic charging management system of the present invention, the charging strategy includes:

[0016] Monitor the battery power, battery temperature, battery health status and remaining range and generate the charging logic of the charging pile, the charging logic of the charging pile includes:

[0017] Configure the target power and power base value. If the battery power is less than or equal to the power base value, increase the charging rate of the charging pile until the battery power reaches the target power.

[0018] If the battery power is greater than the base power value and less than the extreme power value, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power;

[0019] If the battery power is greater than or equal to the power limit, the charging pile stops delivering charging energy;

[0020] Configure the target temperature. If the battery temperature is less than or equal to the base temperature, increase the charging rate of the charging pile and continuously monitor the battery temperature.

[0021] If the battery temperature is greater than the base temperature and less than the extreme temperature, the charging rate of the charging pile is reduced until the battery temperature returns to the target temperature;

[0022] If the battery temperature is greater than or equal to the temperature limit, the charging pile stops delivering charging energy until the battery temperature returns to the target temperature.

[0023] As a preferred solution of the dynamic charging management system of the present invention, the charging logic of the charging pile further includes:

[0024] If the battery health status is greater than or equal to the status extreme value, the charging rate of the charging pile is increased and the battery health status is continuously monitored;

[0025] If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the charging rate of the charging pile is kept unchanged and the battery health state is continuously monitored;

[0026] If the battery health status is less than or equal to the status base value, the charging rate of the charging pile is reduced;

[0027] Monitor the remaining range that the battery can support and configure a preset range. If the remaining range is less than or equal to the preset range, increase the charging rate of the charging pile until the battery power can support the preset range or reaches the target power;

[0028] If the remaining distance is greater than the preset distance, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power.

[0029] As a preferred solution of the dynamic charging management system of the present invention, the charging logic of the charging pile is integrated to obtain the charging energy that needs to be allocated to the charging pile, and the formula of the charging strategy is generated. The formula expression of the charging strategy is as follows:

[0030]

[0031] Where E(t) represents the charging energy that the charging pile needs to allocate at time point t, c0(t) represents the target power at time point t, c(t) represents the battery power at time point t, e represents a constant, b0(t) represents the target temperature at time point t, b(t) represents the battery temperature at time point t, h(t) represents the battery health status at time point t, d(t) represents the preset trip at time point t, d0(t) represents the remaining trip at time point t, and λ represents the time adjustment factor.

[0032] As a preferred solution of the dynamic charging management system of the present invention, the logic of dynamically adjusting the charging strategy includes:

[0033] According to the feedback information of the battery charging progress, the charging rate of the charging pile is adjusted. When the battery power is close to the target power, the charging rate of the charging pile is reduced;

[0034] Adjust the target power according to the feedback information of the battery health status. If the battery health status is greater than or equal to the state extreme value, increase the target power.

[0035] If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the target power remains unchanged;

[0036] If the battery health status is less than or equal to the status base value, the target power is reduced.

[0037] As a preferred solution of the dynamic charging management system of the present invention, wherein: the battery data includes battery power, battery temperature and battery health status;

[0038] The adaptive monitoring battery data specifically includes:

[0039] The threshold value of configuring the battery power includes the power extreme value, the threshold value of the battery temperature includes the temperature base value and the temperature extreme value, the threshold value of the battery health state includes the state base value and the state extreme value, the monitored battery power is compared with the power extreme value to obtain the power factor, the monitored battery temperature is processed with the temperature base value and the temperature extreme value to obtain the temperature factor, the monitored battery health state is processed with the state base value and the state extreme value to obtain the state factor, and the power factor, the temperature factor and the state factor are processed to obtain the monitoring frequency of the battery data;

[0040] The function expression for adaptive monitoring of battery data is as follows:

[0041]

[0042] In the formula, f(t) represents the monitoring frequency of battery data at time point t, f0 represents the basic monitoring frequency of battery data, c(t) represents the battery power at time point t, and c max Indicates the extreme value of charge, b max represents the temperature extreme value, b(t) represents the battery temperature at time point t, and b min Indicates the base temperature value, h max represents the state extreme value, h(t) represents the battery health state at time point t, and h min Indicates the status base value.

[0043] As a preferred solution of the dynamic charging management system of the present invention, the battery health status judgment logic includes:

[0044] Obtain battery capacity, battery internal resistance and number of charging cycles, configure standard capacity and standard internal resistance, calculate the ratio of battery capacity to standard capacity to obtain capacity factor, calculate the ratio of battery internal resistance to standard internal resistance to obtain internal resistance factor, process the number of charging cycles to obtain cycle factor, and comprehensively process capacity factor, internal resistance factor and cycle factor to obtain battery health status.

[0045] The dynamic charging state adjustment method includes: S1, adaptively monitoring battery data;

[0046] S2, generating a charging strategy based on battery data and remaining range;

[0047] S3, dynamically adjust charging parameters according to charging strategy;

[0048] S4, display charging parameters and battery data, provide interactive operations, and generate feedback information;

[0049] S5. Dynamically adjust the charging strategy according to the feedback information.

[0050] A computer device includes a memory for storing instructions and a processor for executing the instructions, so that the computer device implements a dynamic charging state adjustment method.

[0051] A computer-readable storage medium stores a computer program, which, when executed, implements a dynamic charging state adjustment method.

[0052] Beneficial effects of the present invention: The present invention monitors battery data adaptively through the state monitoring module, discovers the state of the battery in time, and through continuous monitoring of the battery state, can prevent the battery from overcharging or discharging, extend the battery life, and ensure that the battery operates within a safe range; the charging management module generates a charging strategy based on the battery data and the remaining travel, which can reduce energy costs, optimize the grid load, and reduce dependence on traditional power sources; the dynamic adjustment module dynamically adjusts the charging parameters according to the charging strategy, so that the system can adapt to changing conditions, thereby optimizing charging efficiency and reducing energy waste; the interactive display module displays the charging parameters and battery data, and provides interactive operations, generates feedback information, improves user experience, enables users to adjust charging settings according to personal needs, generates feedback information according to the user's interactive operations, and helps the system better understand user needs; the feedback optimization module dynamically adjusts the charging strategy according to the feedback information, and the system can learn the user's behavior pattern, automatically optimize the charging strategy to improve efficiency, reduce costs, and improve user satisfaction. At the same time, the system can prevent unsafe charging conditions, such as avoiding battery overheating or overcharging, thereby improving the safety of the entire charging process. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0054] Figure 1 This is a system structure diagram of the dynamic charging management system of the present invention;

[0055] Figure 2 This is a flow chart of adaptive monitoring battery data of the dynamic charging management system of the present invention;

[0056] Figure 3 It is a battery health status judgment logic diagram of the dynamic charging management system of the present invention;

[0057] Figure 4 The present invention is a method flow chart of the dynamic charging state adjustment method. DETAILED DESCRIPTION

[0058] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0059] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0060] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0061] Example 1

[0062] In this embodiment, a system structure diagram of a dynamic charging management system is provided, such as Figure 1 As shown, the dynamic charging management system includes a state monitoring module, a charging management module, a dynamic adjustment module, an interactive display module and a feedback optimization module.

[0063] The status monitoring module is used to adaptively monitor battery data.

[0064] Battery data includes battery charge, battery temperature, and battery health status.

[0065] Adaptive monitoring of battery data such as Figure 2 As shown, specifically including:

[0066] The thresholds for configuring the battery power include the power extreme value, the thresholds for the battery temperature include the temperature base value and the temperature extreme value, the thresholds for the battery health status include the status base value and the status extreme value, the monitored battery power is compared with the power extreme value to obtain the power factor, the monitored battery temperature is processed with the temperature base value and the temperature extreme value to obtain the temperature factor, the monitored battery health status is processed with the status base value and the status extreme value to obtain the status factor, and the power factor, temperature factor and status factor are processed to obtain the monitoring frequency of the battery data.

[0067] The function expression for adaptive monitoring of battery data is as follows:

[0068]

[0069] In the formula, f(t) represents the monitoring frequency of battery data at time point t, f0 represents the basic monitoring frequency of battery data, c(t) represents the battery power at time point t, and c max Indicates the extreme value of charge, b max represents the temperature extreme value, b(t) represents the battery temperature at time point t, and b min Indicates the base temperature value, h maxrepresents the state extreme value, h(t) represents the battery health state at time point t, and h min Indicates the status base value.

[0070] What needs to be explained is that the temperature factor refers to the battery temperature difference The health factor refers to the poor health of the battery.

[0071] The monitoring frequency of battery data is comprehensively judged by the battery power, battery temperature and battery health status to optimize resource allocation and reduce unnecessary energy consumption. When the battery power is close to the power extreme value, the monitoring frequency of battery data is low because the battery power is stable and the battery power does not change much. When the battery power is far away from the power extreme value, the monitoring frequency of battery data increases to monitor the change of battery power more frequently. When the battery temperature is close to the temperature extreme value, the temperature factor is small, indicating that the battery temperature changes slowly, and the monitoring frequency of battery data is reduced. When the battery temperature is close to the temperature base value, the monitoring frequency of battery data is increased. When the battery health status is close to the state extreme value, the health factor is small, indicating that the battery health status is good, and the monitoring frequency of battery data is reduced. When the battery health status is close to the state base value, the monitoring frequency of battery data is increased. Then, the power factor, temperature factor and state factor are multiplied and then multiplied with the basic monitoring frequency of battery data to obtain the monitoring frequency of battery data at different time points. The above formula evenly considers the impact of different parameters on the monitoring frequency, thereby dynamically adjusting the monitoring frequency to adapt to the real-time situation.

[0072] Among them, the judgment logic of battery health status is as follows Figure 3 As shown, specifically including:

[0073] Obtain battery capacity, battery internal resistance and number of charging cycles, configure standard capacity and standard internal resistance, calculate the ratio of battery capacity to standard capacity to obtain capacity factor, calculate the ratio of battery internal resistance to standard internal resistance to obtain internal resistance factor, process the number of charging cycles to obtain cycle factor, and comprehensively process capacity factor, internal resistance factor and cycle factor to obtain battery health status.

[0074] The function expression of battery health status is as follows:

[0075]

[0076] In the formula, w v represents the weight coefficient of battery capacity, v(t) represents the battery capacity at time point t, v0 represents the standard capacity, and w r represents the weight coefficient of the battery internal resistance, r0 represents the standard internal resistance, r(t) represents the battery internal resistance at time point t, and w irepresents the weight coefficient of the number of charging cycles, k represents the decay coefficient of the number of charging cycles of the battery, and i represents the number of charging cycles of the battery.

[0077] What needs to be explained is: the weight coefficient w of battery capacity v Used to adjust the impact of capacity factor on battery health status, the weight coefficient w of battery internal resistance r Used to adjust the impact of internal resistance factor on battery health status and the weight coefficient w of charging cycle number i It is used to adjust the impact of the cycle factor on the battery health status, and the range is between 0 and 1. The decay coefficient k of the number of battery charging cycles is used to indicate the impact of each charging cycle on the battery health.

[0078] The battery health status is mainly related to the battery capacity, battery internal resistance and the number of battery charging cycles. When the battery capacity is compared with the standard capacity, a decrease in capacity indicates that the battery is aging and there is a problem with the battery health status. An increase in the battery internal resistance will affect the battery's charging and discharging efficiency. Usually, an increase in the battery internal resistance is also a sign of a decrease in the battery health status. At the same time, the battery will gradually lose its original performance after a certain number of cycles. Therefore, it is necessary to focus on monitoring the battery capacity, battery internal resistance and the number of battery charging cycles. If the capacity factor is high, it means that the battery capacity is good. If the internal resistance factor is high, it means that the battery internal resistance is low and the battery health status is good. A decrease in the cycle factor indicates a decrease in the battery health status. The above formula comprehensively considers the effects of battery capacity, battery internal resistance and the number of battery charging cycles on the battery health status, thereby providing a comprehensive assessment of the battery health status.

[0079] The charging management module is used to generate a charging strategy based on battery data and remaining range.

[0080] Charging strategies include:

[0081] Monitor the battery power, battery temperature, battery health status and remaining range and generate the charging logic of the charging pile. The charging logic of the charging pile includes:

[0082] Configure the target power and power base value. If the battery power is less than or equal to the power base value, increase the charging rate of the charging pile until the battery power reaches the target power.

[0083] If the battery power is greater than the base power value and less than the extreme power value, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power;

[0084] If the battery power is greater than or equal to the power limit, the charging pile stops delivering charging energy.

[0085] Configure the target temperature. If the battery temperature is less than or equal to the base temperature, increase the charging rate of the charging pile and continuously monitor the battery temperature.

[0086] If the battery temperature is greater than the base temperature and less than the extreme temperature, the charging rate of the charging pile is reduced until the battery temperature returns to the target temperature;

[0087] If the battery temperature is greater than or equal to the temperature limit, the charging pile stops delivering charging energy until the battery temperature returns to the target temperature.

[0088] If the battery health status is greater than or equal to the status extreme value, the charging rate of the charging pile is increased and the battery health status is continuously monitored;

[0089] If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the charging rate of the charging pile is kept unchanged and the battery health state is continuously monitored;

[0090] If the battery health status is less than or equal to the status base value, the charging rate of the charging pile is reduced.

[0091] Monitor the remaining range that the battery can support and configure a preset range. If the remaining range is less than or equal to the preset range, increase the charging rate of the charging pile until the battery power can support the preset range or reaches the target power;

[0092] If the remaining distance is greater than the preset distance, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power.

[0093] In actual operation, priority must be given to ensuring that the battery charge reaches the target charge, monitoring the battery temperature, and controlling the battery temperature below the target temperature by adjusting the charging rate of the charging pile. The charging rate of the charging pile should be adjusted according to the battery health status to protect the battery life and slow down battery aging. At the same time, it is also necessary to consider whether the battery charge can meet the preset itinerary to ensure the itinerary requirements.

[0094] Based on the charging logic of the above charging piles, the charging energy that needs to be allocated to the charging piles is obtained, and the formula of the charging strategy is generated. The formula expression of the charging strategy is as follows:

[0095]

[0096] Where E(t) represents the charging energy that needs to be allocated by the charging pile at time point t, c0(t) represents the target power at time point t, e represents a constant, b0(t) represents the target temperature at time point t, d(t) represents the preset trip at time point t, d0(t) represents the remaining trip at time point t, and λ represents the time adjustment factor.

[0097] It needs to be explained that the time adjustment factor λ is used to dynamically adjust the charging energy of the charging pile over time to avoid overcharging in the initial stage, which may cause damage to the battery life.

[0098] The above formula combines battery power, target power, battery temperature, battery health status, travel requirements and time factors to dynamically adjust the charging energy demand of the charging pile. While ensuring that the battery reaches the target power, it ensures temperature safety during the charging process and protects the battery life. The charging rate of the charging pile is adjusted based on the comparison between the preset travel that needs to be met and the remaining travel, so as to achieve the charging energy that the charging pile needs to allocate in the end, so as to achieve the best charging strategy.

[0099] The dynamic adjustment module is used to dynamically adjust the charging parameters according to the charging strategy.

[0100] Monitor the battery power, battery temperature, battery health status and remaining mileage, and dynamically adjust the charging parameters according to the above charging strategy. The charging parameters here are expressed as the charging rate of the charging pile, which are adjusted in sequence according to the charging logic of the charging pile. Taking into account the priority of the battery power, the charging rate of the charging pile is adjusted according to the comparison result of the battery power with the target power, and the charging rate of the charging pile is adjusted according to the comparison result of the remaining mileage with the preset mileage. At the same time, consider whether the adjustment of the charging rate of the charging pile will affect the battery temperature and battery health status, and dynamically adjust the charging rate of the charging pile to ensure efficiency and safety during the charging process.

[0101] The interactive display module is used to display charging parameters and battery data, provide interactive operations, and generate feedback information.

[0102] The battery power, battery temperature, battery health status and charging rate are displayed through charts and progress bars, and real-time curve graphs of the battery power and battery temperature are displayed to facilitate observation of the changing trends of the battery power and battery temperature. At the same time, the user is allowed to manually adjust the parameters of the target power, target temperature, power base value, power extreme value, temperature base value and temperature extreme value. A button is provided to start or stop the charging pile to charge the battery, and a reset function is provided to allow the user to restore the charging parameters to the default settings or the last saved state. The function of viewing historical charging records and historical battery data is provided to allow users to understand the charging status and battery health trends.

[0103] When the user manually adjusts the parameters, confirmation information is displayed, such as the target power has been set to 80%. If the battery temperature is greater than or equal to the temperature limit, the charging pile stops delivering charging energy and displays a warning message, such as the battery temperature is too high, the charging pile has stopped delivering charging energy, please check the battery status; the battery charging progress is updated in real time, such as the battery power has been charged to 60%, and a prompt is given that the battery charging is complete; if there is a problem with the battery health status, an abnormal information prompt is given, such as the battery health is abnormal, please repair it.

[0104] The feedback optimization module is used to dynamically adjust the charging strategy based on feedback information.

[0105] The logic for dynamically adjusting the charging strategy includes:

[0106] According to the feedback information of the battery charging progress, the charging rate of the charging pile is adjusted. When the battery power is close to the target power, the charging rate of the charging pile is reduced.

[0107] Adjust the target power according to the feedback information of the battery health status. If the battery health status is greater than or equal to the state extreme value, increase the target power.

[0108] If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the target power remains unchanged;

[0109] If the battery health status is less than or equal to the status base value, the target power is reduced.

[0110] In actual applications, the charging rate of the charging pile is dynamically adjusted according to the feedback information of the battery charging progress. At the beginning of charging, a higher charging rate of the charging pile is used for fast charging. At the same time, it is necessary to avoid the high charging rate of the charging pile causing a decrease in the health of the battery. When the battery power is close to the target power, the charging rate of the charging pile is reduced to protect the battery and avoid overcharging. When the battery health is not good, the target power needs to be reduced to extend the battery life. When the battery health is good, a higher target power can be set, but it must be within the safe operating range of the battery.

[0111] Example 2

[0112] In this embodiment, a method flow chart of a dynamic charging state adjustment method is provided, such as Figure 4 As shown, the dynamic charging state adjustment method includes:

[0113] S1, adaptive monitoring of battery data;

[0114] S2, generating a charging strategy based on battery data and remaining range;

[0115] S3, dynamically adjust charging parameters according to charging strategy;

[0116] S4, display charging parameters and battery data, provide interactive operations, and generate feedback information;

[0117] S5. Dynamically adjust the charging strategy according to the feedback information;

[0118] For the specific content of the dynamic charging state adjustment method, please refer to the dynamic charging management system, which will not be repeated here.

[0119] Example 3

[0120] In this embodiment, a computer device is provided, including a memory and a processor, the memory is used to store instructions, and the processor is used to execute the instructions, so that the computer device executes the steps of implementing the above-mentioned dynamic charging state adjustment method.

[0121] Example 4

[0122] In this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the steps of the above-mentioned dynamic charging state adjustment method are implemented.

[0123] The computer-readable storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and other media for storing program codes.

[0124] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. Dynamic charging management system, characterized by: include: Status monitoring module, charging management module, dynamic adjustment module, interactive display module and feedback optimization module; The state monitoring module is used to adaptively monitor battery data; The charging management module is used to generate a charging strategy based on battery data and remaining range; The dynamic adjustment module is used to dynamically adjust the charging parameters according to the charging strategy; The interactive display module is used to display charging parameters and battery data, provide interactive operations, and generate feedback information; The feedback optimization module is used to dynamically adjust the charging strategy according to the feedback information.

2. The dynamic charging management system according to claim 1, characterized in that: The charging strategy includes: Monitor the battery power, battery temperature, battery health status and remaining range and generate the charging logic of the charging pile, the charging logic of the charging pile includes: Configure the target power and power base value. If the battery power is less than or equal to the power base value, increase the charging rate of the charging pile until the battery power reaches the target power. If the battery power is greater than the base power value and less than the extreme power value, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power; If the battery power is greater than or equal to the power limit, the charging pile stops delivering charging energy; Configure the target temperature. If the battery temperature is less than or equal to the base temperature, increase the charging rate of the charging pile and continuously monitor the battery temperature. If the battery temperature is greater than the base temperature and less than the extreme temperature, the charging rate of the charging pile is reduced until the battery temperature returns to the target temperature; If the battery temperature is greater than or equal to the temperature limit, the charging pile stops delivering charging energy until the battery temperature returns to the target temperature.

3. The dynamic charging management system according to claim 2, characterized in that: The charging logic of the charging pile also includes: If the battery health status is greater than or equal to the status extreme value, the charging rate of the charging pile is increased and the battery health status is continuously monitored; If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the charging rate of the charging pile is kept unchanged and the battery health state is continuously monitored; If the battery health status is less than or equal to the status base value, the charging rate of the charging pile is reduced; Monitor the remaining range that the battery can support and configure a preset range. If the remaining range is less than or equal to the preset range, increase the charging rate of the charging pile until the battery power can support the preset range or reaches the target power; If the remaining distance is greater than the preset distance, the charging rate of the charging pile is kept unchanged until the battery power reaches the target power.

4. The dynamic charging management system according to claim 3, characterized in that: The charging energy that needs to be allocated to the charging pile is obtained by integrating the charging logic of the charging pile, and the formula of the charging strategy is generated. The formula expression of the charging strategy is as follows: Where E(t) represents the charging energy that the charging pile needs to allocate at time point t, c0(t) represents the target power at time point t, c(t) represents the battery power at time point t, e represents a constant, b0(t) represents the target temperature at time point t, b(t) represents the battery temperature at time point t, h(t) represents the battery health status at time point t, d(t) represents the preset trip at time point t, d0(t) represents the remaining trip at time point t, and λ represents the time adjustment factor.

5. The dynamic charging management system according to claim 4, characterized in that: The logic of dynamically adjusting the charging strategy includes: According to the feedback information of the battery charging progress, the charging rate of the charging pile is adjusted. When the battery power is close to the target power, the charging rate of the charging pile is reduced; Adjust the target power according to the feedback information of the battery health status. If the battery health status is greater than or equal to the state extreme value, increase the target power. If the battery health state is greater than the state base value and the battery health state is less than the state extreme value, the target power remains unchanged; If the battery health status is less than or equal to the status base value, the target power is reduced.

6. The dynamic charging management system according to claim 5, characterized in that: The battery data includes battery power, battery temperature and battery health status; The adaptive monitoring battery data specifically includes: The threshold value of configuring the battery power includes the power extreme value, the threshold value of the battery temperature includes the temperature base value and the temperature extreme value, the threshold value of the battery health state includes the state base value and the state extreme value, the monitored battery power is compared with the power extreme value to obtain the power factor, the monitored battery temperature is processed with the temperature base value and the temperature extreme value to obtain the temperature factor, the monitored battery health state is processed with the state base value and the state extreme value to obtain the state factor, and the power factor, the temperature factor and the state factor are processed to obtain the monitoring frequency of the battery data; The function expression for adaptive monitoring of battery data is as follows: In the formula, f(t) represents the monitoring frequency of battery data at time point t, f0 represents the basic monitoring frequency of battery data, c(t) represents the battery power at time point t, and c max Indicates the extreme value of charge, b max represents the temperature extreme value, b(t) represents the battery temperature at time point t, and b min Indicates the base temperature value, h max represents the state extreme value, h(t) represents the battery health state at time point t, and h min Indicates the status base value.

7. The dynamic charging management system according to claim 6, characterized in that: The battery health status judgment logic includes: Obtain battery capacity, battery internal resistance and number of charging cycles, configure standard capacity and standard internal resistance, calculate the ratio of battery capacity to standard capacity to obtain capacity factor, calculate the ratio of battery internal resistance to standard internal resistance to obtain internal resistance factor, process the number of charging cycles to obtain cycle factor, and comprehensively process capacity factor, internal resistance factor and cycle factor to obtain battery health status.

8. A dynamic charging state adjustment method, implemented based on the dynamic charging management system according to any one of claims 1 to 7, characterized in that: include: S1, adaptive monitoring of battery data; S2, generating a charging strategy based on battery data and remaining range; S3, dynamically adjust charging parameters according to charging strategy; S4, display charging parameters and battery data, provide interactive operations, and generate feedback information; S5. Dynamically adjust the charging strategy according to the feedback information.

9. A computer device, characterized in that: include: A memory for storing instructions; The processor is used to execute the instructions so that the computer device implements the dynamic charging state adjustment method as claimed in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the dynamic charging state adjustment method as claimed in claim 8 is implemented.

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