Statistical method and device for power recovery rate, electronic equipment and storage medium
Patent Information
- Application Number
- CN202510705149.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-29
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2045-05-29
AI Technical Summary
Existing charging station management solutions lack accurate statistical and evaluation methods for energy recovery rates, resulting in an inability to fully understand the charging efficiency and energy recovery status of charging piles, which affects the evaluation of intelligent charging algorithms and the efficiency of global scheduling of charging resources.
By monitoring the charging process of the target charging station and obtaining the target charging parameters, and by comparing the target and reference charging algorithms, the recovered electricity and electricity recovery rate are calculated, providing a statistical method, device and electronic device for electricity recovery rate.
It enables accurate assessment of the power recovery rate of intelligent charging algorithms, helping charging stations improve power recovery rate and resource management efficiency, and maximize profits.
Smart Images

Figure CN120621125B_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present invention relate to the technical field of charging management, and in particular to a statistical method, apparatus, electronic device and storage medium for energy recovery rate. Background Technology
[0002] With the rapid popularization of electric vehicles and the large-scale construction of charging infrastructure, charging stations generally adopt intelligent charging algorithms to optimize charging strategies, such as dynamic power adjustment based on time-of-use pricing, grid load, or battery status. In existing technologies, charging piles typically operate on an "efficiency-first" basis, meaning that without algorithmic regulation, they employ a plug-and-charge maximum power fast charging method, prioritizing user charging speed needs by real-time allocation of remaining power at the station. Meanwhile, intelligent charging algorithms have been gradually applied to the scheduling and management of charging piles, attempting to balance charging efficiency, operating costs, and equipment wear by dynamically adjusting charging current or power at different times. However, these methods have significant shortcomings: However, current charging station management schemes lack accurate statistical and evaluation methods for energy recovery rates, resulting in an inability to fully understand the charging efficiency and energy recovery status of charging piles. Consequently, it is difficult to effectively evaluate the energy recovery rate of intelligent charging algorithms. Specifically, because real-time charging parameters (such as current and power) in intelligent charging mode and efficiency-first mode are not recorded and compared synchronously, it is impossible to accurately calculate the actual energy saved by algorithm regulation. This makes it difficult for charging station operators to accurately assess the economic benefits of algorithm optimization, and they cannot provide data support for strategy adjustments, thus affecting the overall scheduling efficiency of charging resources. Summary of the Invention
[0003] One objective of this invention is to provide a statistical method, apparatus, electronic device, and storage medium for energy recovery rate, in order to address the problem that the related technologies lack accurate statistical and evaluation methods for energy recovery rate, resulting in an inability to fully understand the charging efficiency and energy recovery status of charging piles.
[0004] In a first aspect, embodiments of the present invention provide a statistical method for energy recovery rate, comprising: Identify a target charging station, wherein the target charging station is at least one charging station used to respond to a target charging algorithm; The charging process of the target charging pile in response to the target charging algorithm is monitored to obtain the target charging parameter set; Based on the target charging parameter set, the recovered power of the target charging pile is determined. The recovered power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. Based on the recovered electricity of the target charging pile, the electricity recovery rate of the target charging pile when responding to the target charging algorithm is determined.
[0005] In conjunction with the first aspect, in one possible implementation, the target charging parameter set includes a first charging parameter set, and the step of monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set includes: Determine the target charging algorithm corresponding to the target charging pile; Based on the target charging algorithm, the target charging plan for the target charging pile is determined; Based on the target charging plan, determine the target charging pile's response to the target charging algorithm for each target charging period; According to the charging period, the charging power of the target charging pile is monitored sequentially in each target charging period to obtain the charging data of the target charging pile corresponding to the charging period. Based on the charging data, the first parameter set is determined.
[0006] In conjunction with the first aspect, in one possible implementation, the target charging set further includes a second charging parameter set, and the step of monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set further includes: Determine the reference charging algorithm corresponding to the target charging pile; Based on the reference charging algorithm, a reference charging plan for the target charging pile is determined; Based on the reference plan and the target charging pile's response to the target charging algorithm during each target charging period, the reference charging data of the target charging pile during each target charging period is determined. The second set of charging parameters is determined based on the reference charging data.
[0007] In conjunction with the first aspect, in one possible implementation, determining the recoverable electricity of the target charging pile based on the target charging parameter set includes: Based on the target charging parameter set, determine each target charging period in which the target charging pile responds to the target charging algorithm; Based on the target charging period, the recovered electricity of the target charging pile is determined by comparing the charging parameters of the target charging pile when responding to the target charging algorithm and when responding to the reference charging algorithm.
[0008] In conjunction with the first aspect, in one possible implementation, determining the recovered electricity of the target charging pile based on the target charging period by comparing the charging parameters of the target charging pile when responding to the target charging algorithm with those when responding to the reference charging algorithm includes: By comparing the charging parameters of the target charging pile under the target charging algorithm and the reference charging algorithm, the first charging amount of the target charging pile in each target charging period when responding to the target charging algorithm, and the second charging amount of the target charging pile in each reference charging period when responding to the reference charging algorithm are determined. The amount of electricity recovered by the target charging pile is determined by comparing the first charging amount and the second charging amount in each target time period.
[0009] In conjunction with the first aspect, in one possible implementation, determining the recovered electricity of the target charging pile by comparing the first charging amount and the second charging amount within each target time period includes: By comparing the first charging amount and the second charging amount in each target time period, a reference charging time period is determined. The difference between the first charging amount of the target charging pile in the reference charging time period and the second charging amount of the target charging pile in the reference time period is greater than a preset value. The sum of the first charging amounts of the target charging pile in each reference time period is determined to obtain the first total charging amount; Determine the sum of the second charging amounts of the target charging pile in each reference time period, and determine the second total charging amount; The difference between the first total charge and the second total charge is determined to obtain the recovered electricity.
[0010] In conjunction with the first aspect, in one possible implementation, the method further includes: Determine the amount of electricity recovered by each target charging pile in the charging station; Based on the recovered electricity of each target charging pile in the charging station, the electricity recovery rate of each target charging pile in the charging station is determined. The electricity recovery rate is the ratio between the recovered electricity of the target charging pile and the total charging amount when the target charging pile responds to the reference charging algorithm. The power recovery rate of the charging station is determined based on the power recovery rate of each target charging pile in the charging station.
[0011] In a second aspect, embodiments of the present invention provide a statistical device for calculating power recovery rate, comprising: A statistical confirmation module is used to determine the target charging pile, wherein the target charging pile is at least one charging pile used to respond to the target charging algorithm; The charging monitoring module is used to monitor the charging process of the target charging pile in response to the target charging algorithm and obtain the target charging parameter set; The first calculation module is used to determine the recovered power of the target charging pile according to the target charging parameter set. The recovered power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. The second calculation module is used to determine the energy recovery rate of the target charging pile when responding to the target charging algorithm, based on the recovered energy of the target charging pile.
[0012] In a third aspect, embodiments of the present invention provide an electronic device, the electronic device including a memory and a processor, the memory being connected to the processor, the processor being configured to execute one or more computer programs stored in the memory, the processor causing the electronic device to implement the power recovery rate statistical method as described in any of the first aspects.
[0013] In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform a statistical method for power recovery rate as described in any one of the first aspects.
[0014] The embodiments of the present invention can achieve the following technical effects: In this embodiment of the invention, after identifying the target charging pile, the charging process of the target charging pile is monitored to obtain its target charging parameter set. Then, based on this set, the total charging amount of the target charging pile in response to the target charging algorithm is determined. The difference between this total charging amount and the total charging amount in response to the reference charging algorithm determines the energy recovery rate of the target charging pile in response to the target charging algorithm. It is evident that, in the statistical process, this embodiment of the invention compares the differences in energy recovery rates between different versions of the algorithm by monitoring the charging of the same use case using different algorithm versions. This difference comparison allows for a direct evaluation of the optimization advantages and disadvantages of each algorithm in terms of energy recovery rate. Furthermore, based on this method, the energy recovery rate can be accurately calculated, thereby evaluating the efficiency of the intelligent charging algorithm. This helps charging stations better manage charging piles, improve energy recovery rates, and maximize profits. Attached Figure Description
[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 A schematic diagram of a charging station provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a statistical method for energy recovery rate provided in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a power recovery rate statistical device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention.
[0018] It should be noted that, unless otherwise specified, the various features in the embodiments of this invention can be combined with each other, all of which are within the protection scope of this invention. Furthermore, although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart. Moreover, the terms "first," "second," and "third" used in this invention do not limit the data or execution order, but only distinguish identical or similar items with essentially the same function and effect.
[0019] For a clearer explanation of this application, please refer to [link / reference]. Figure 1 This invention provides a charging station, such as... Figure 1As shown, the charging station includes a charging management device 200 and a charging group 100. The charging group 100 includes a first charging group 10 and a second charging group 20. It can be understood that the charging station can also include more charging groups, such as three or more. The charging group 100 can be a single-layer charging group or a multi-layer charging group. For example, if the first charging group 10 is a single-layer charging group, there are no subdivided charging groups within the first charging group 10. If the first charging group 10 is a multi-layer charging group, there are subdivided charging groups within the first charging group 10, such as the first charging group 10 including a third charging group and a fourth charging group.
[0020] It should be noted that, for ease of description, unless otherwise specified, all charging groups in the charging stations mentioned below are single-layer charging groups.
[0021] Each charging group includes at least two charging stations, each capable of charging vehicles. For example, such as Figure 1 As shown, the first charging group 10 includes a first charging pile 11, a second charging pile 12 and a third charging pile 13. The first charging pile 11 is charging the first charging vehicle 101, the second charging pile 12 is charging the second charging vehicle 102, and the third charging pile 13 is charging the third charging vehicle 103.
[0022] Charging stations can be divided into charging groups based on actual needs. For example, charging piles using the same power supply point can be grouped into one charging group. Figure 1 As shown, the first charging pile 11, the second charging pile 12, and the third charging pile 13 use the first power supply point, while the fourth charging pile 21, the fifth charging pile 22, and the sixth charging pile 23 use the second power supply point. The first power supply point and the second power supply point are different power supply points. During the charging process, the charging vehicle can report its required power to the charging pile in real time, so that the charging pile can subsequently issue the power to meet the charging needs of the vehicle.
[0023] Furthermore, based on the above Figure 1 The charging station shown is presented with a statistical method for energy recovery rate, which can be applied to the above-mentioned... Figure 1 The charging management device 200 is shown. For details, please refer to... Figure 2 The method includes: Step S10: Determine the target charging pile, wherein the target charging pile is at least one charging pile used to respond to the target charging algorithm; In this embodiment, the target charging pile refers to a charging pile that can be used with the target charging algorithm referred to in this invention. Taking the above-mentioned charging station as an example, a charging station includes multiple charging piles. Based on this, multiple target charging piles can exist simultaneously in a charging station to implement the method of this embodiment. Therefore, this embodiment does not limit the number of target charging piles. When the management equipment of the charging station is feasible, as many charging piles as possible can be used as the above-mentioned target charging piles, so that the final calculated power recovery rate has better universality.
[0024] In this embodiment, the target charging algorithm refers to a pre-set executable algorithm used to manage the charging process of the charging pile (such as its maximum charging power, minimum charging power, charging period, etc.). Similarly, depending on the expected control target, the target charging algorithm can also be integrated from multiple sub-charging algorithms. That is, multiple control strategies can be determined according to multiple control targets, and multiple control strategies can be satisfied simultaneously to manage the charging process of the charging pile without conflict.
[0025] Those skilled in the art will understand that, based on differences in control logic, commonly used target charging algorithms can be divided into intelligent charging algorithms and traditional charging algorithms, among which: Intelligent charging algorithms refer to charging process control algorithms that manage charging through multi-dimensional dynamic optimization. They seek a balance based on multiple objectives such as electricity price, charging pile utilization rate, and user waiting time, rather than solely pursuing charging efficiency.
[0026] For example, regarding electricity prices, charging power or time can be adjusted according to peak and off-peak electricity prices (e.g., higher prices during peak hours and lower prices during off-peak hours) to reduce user charging costs. Regarding charging pile load, the number of charging piles activated can be monitored in real time to avoid power contention when multiple vehicles are charging simultaneously, ensuring balanced charging efficiency across all piles. Charging strategies: Supports strategies such as "off-peak energy storage" and "off-peak charging," for example, prioritizing charging during low-price periods for non-emergency users, or allocating high-power fast charging to emergency users.
[0027] For traditional algorithms, taking the plug-and-charge (traditional fast charging mode) algorithm as an example, it prioritizes efficiency by charging quickly at the maximum available power of the charging pile to shorten the charging time of a single vehicle. Compared with the smart charging algorithm mentioned above, it ignores the difference in electricity prices and immediately charges at the maximum output power of the charging pile (such as 60kW or 120kW) after the user inserts the charging gun until the battery is fully charged or the user manually stops it.
[0028] Step S20: Monitor the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set; In this embodiment, after the target charging pile responds to the above-mentioned target charging algorithm to charge, its charging process is monitored in real time, and charging parameters related to its charging process are continuously collected to obtain the above-mentioned target charging parameter set. The set stores all the charging parameters of the charging pile in this charging process, so that it can be analyzed by reading the set in subsequent steps.
[0029] The charging parameters stored in the target charging parameter set mainly refer to parameters related to the charging process of the charging pile, such as the charging current, voltage, power, etc. at various time points within the charging process. Each type of parameter corresponds to a continuous data acquisition node, and a visual curve of the target charging pile can be constructed based on this, which facilitates manual analysis of the data by the implementers.
[0030] As a feasible implementation method, various sensors (such as current sensors, voltage sensors, power acquisition sensors, etc.) can be built into each charging pile. After the target charging pile in the charging station is determined, a communication connection is established between the management equipment in the charging station and the built-in sensors of the target charging pile, and the data collected by each sensor is uploaded in real time to construct the above-mentioned target charging parameter set.
[0031] As a feasible implementation method, when acquiring the charging parameters of each charging pile, the raw data can be filtered and denoised using a preset filter (such as Kalman filtering) to remove outliers (such as instantaneous voltage jumps) and ensure the reliability of the charging parameters.
[0032] Step S30: Determine the recoverable power of the target charging pile according to the target charging parameter set. The recoverable power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. In this embodiment, the recovered electricity of the target charging pile refers to the additional electricity recovered by the target charging pile during the charging process under the control of the target charging algorithm, compared to the reference charging algorithm.
[0033] Specifically, assuming the total charging amount of the target charging pile responding to the target charging algorithm is A, and the total charging amount of the target charging pile responding to the reference charging algorithm is B, then the recovered electricity is AB. Under normal circumstances, the control strategy adopted by the current charging station tends to improve the overall resource utilization rate as much as possible while satisfying users. Therefore, A > B in normal circumstances, that is, the value of the recovered electricity is the part of A less than B.
[0034] In this embodiment, the reference charging algorithm for the target charging pile response refers to the algorithm that serves as the statistical benchmark for the energy recovery rate of the target charging pile. Generally, it refers to an algorithm that has been maturely applied. Based on this understanding, the algorithm has been applied to the target charging pile before this statistical analysis. Therefore, the implementers can know all the charging parameters of the target charging pile when it responds to the reference charging algorithm and obtain the total charging amount of the target charging pile when it responds to the reference charging algorithm, which can be used as a benchmark for determining the recovered energy.
[0035] It is easy to understand that, in order to ensure that the final statistical power recovery rate has reliable reference and representativeness, the charging algorithm that does not employ a complex charging control strategy is usually used as the reference charging algorithm mentioned above. As mentioned above, the traditional charging algorithm that prioritizes efficiency can be adopted. The control strategy of this algorithm is the simplest, so it can serve as the basis for analyzing various charging algorithms.
[0036] Step S40: Determine the energy recovery rate of the target charging pile when responding to the target charging algorithm based on the recovered energy of the target charging pile.
[0037] In this embodiment, the power recovery rate refers to the ratio of the additional power recovered by the target charging pile to the total charging amount corresponding to the "reference charging algorithm" under the control of the target charging algorithm. It is used to measure the efficiency improvement of the target charging algorithm when reducing the charging amount. The higher the value, the more significant the energy saving effect achieved by the target charging algorithm in suppressing overcharging (such as high-power charging during peak hours).
[0038] In the above embodiments, the target charging parameter set includes a first charging parameter set, and the step of monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set includes: The process involves: determining the target charging algorithm corresponding to the target charging pile; determining the target charging plan for the target charging pile based on the target charging algorithm; determining the target charging period for the target charging pile to respond to the target charging algorithm based on the target charging plan; monitoring the charging power of the target charging pile in each target charging period according to the charging period to obtain target charging data for the target charging pile in each target charging period; and determining the first set of charging parameters based on the target charging data.
[0039] In the above embodiments, the target charging set further includes a second charging parameter set, and the step of monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set further includes: A reference charging algorithm corresponding to the target charging pile is determined; a reference charging plan for the target charging pile is determined based on the reference charging algorithm; reference charging data for the target charging pile in each target charging period is determined based on the reference plan and the target charging pile's response to the target charging algorithm; and a second charging parameter set is determined based on the reference charging data.
[0040] In this embodiment, the first charging parameter set stores the charging data of the target charging pile in response to the target charging algorithm. This data is obtained by real-time monitoring of the current charging process of the target charging pile. The second charging parameter set stores the charging data of the target charging pile in response to the reference charging algorithm. Since the reference charging algorithm generally refers to a mature and applied charging algorithm, it can generally be obtained from the historical charging data of the charging station.
[0041] It should be noted that the concepts of target charging data, reference charging data, first charging set, and second charging set in this embodiment are only used to distinguish between the target charging algorithm and the reference charging algorithm, and do not make any substantial distinction.
[0042] In the above embodiments, determining the recoverable electricity of the target charging pile based on the target charging parameter set includes: Based on the target charging parameter set, each target charging period of the target charging pile in response to the target charging algorithm is determined; based on the target charging period, the recovered electricity of the target charging pile is determined by comparing the charging parameters of the target charging pile in response to the target charging algorithm with those in response to the reference charging algorithm.
[0043] Specifically, based on the target charging period, the recovered electricity of the target charging pile is determined by comparing the charging parameters of the target charging pile when responding to the target charging algorithm and when responding to the reference charging algorithm, including: By comparing the charging parameters of the target charging pile under the target charging algorithm and the reference charging algorithm, the first charging amount of the target charging pile in each target charging period when responding to the target charging algorithm and the second charging amount of the target charging pile in each reference charging period when responding to the reference charging algorithm are determined; by comparing the first charging amount and the second charging amount in each target period, the recovered electricity of the target charging pile is determined.
[0044] More specifically, the recovered electricity of the target charging pile is determined by comparing the first charging amount and the second charging amount within each target time period, including: By comparing the first charging amount and the second charging amount in each target time period, a reference charging time period is determined. The difference between the first charging amount and the second charging amount of the target charging pile in the reference charging time period is greater than a preset value, where the preset value can be 0. The sum of the first charging amounts of the target charging pile in each reference time period is determined to obtain a first total charging amount. The sum of the second charging amounts of the target charging pile in each reference time period is determined to determine a second total charging amount. The difference between the first total charging amount and the second total charging amount is determined to obtain the recovered electricity.
[0045] In this embodiment, the recovery rate and recovered power are calculated by comparing the charging amount in the smart charging mode and the efficiency priority mode. The value of the recovery rate is equal to the recovered power divided by the total charging amount corresponding to the reference charging algorithm. The recovered power refers to the total amount of power recovered in the target charging mode compared to the efficiency priority mode. It will only accumulate when the charging current or power of the smart charging mode is lower than that of the efficiency priority mode.
[0046] For example, the charging current of the target charging pile when responding to the target charging algorithm is determined to be the smart charging current, and the charging current of the target charging pile when responding to the reference charging algorithm is determined to be the efficiency-priority current. Assume that the charging plan of the target charging pile in each target time period is as follows: Plan 1: Time period: 7:00-9:00, intelligent charging current is 12A, efficiency priority current is 16A; Plan 2: Time period: 9:00-12:00, intelligent charging current is 16.8A, efficiency priority current is 22A; Plan 3: Time period: 12:00-14:00, intelligent charging current is 12.8A, efficiency priority current is 22A; Plan 4: Time period: 16:00-18:00, intelligent charging current is 32A, efficiency priority current is 22A; Based on this, the reference time periods are determined to be 7:00-9:00, 9:00-12:00, and 12:00-14:00. Since the efficiency priority current is less than the smart charging current during 14:00-18:00, the requirement that "the difference between the first charging amount of the target charging pile during the reference charging time period and the second charging amount of the target charging pile during the reference charging time period is greater than 0" is not met, therefore it is not considered a reference time period.
[0047] The total charging capacity (kWh) is calculated as follows: = (charging time (hours)) Charging current (Charging station voltage) 1000 yields: Total charging amount without using smart charging algorithm = (9-7) 16 + (12-9) 22 + (14-12) 22+ (18-16) twenty two) 240 / 1000 = 44.64 (kWH); The recovered electricity is the sum of the total electricity in each plan where the difference between the smart charging amount and the efficiency priority charging amount is greater than 0, resulting in a difference greater than 0 for Plan 1 to Plan 3. Based on this, the amount of charge recovered = (9-7) (16-12) + (12-9) (22-16.8) + (14-12) (22-12.8) 240 / 1000 = 10.08 (kWH); Meanwhile, the recovery rate = recovered charging amount / total charging amount without using the smart charging algorithm = 10.08 / 44.64 = 0.2258.
[0048] The algorithm calculated that the recovery rate of this pile was 22.58%.
[0049] Furthermore, in the above embodiments, it also includes: Determine the recovered electricity of each target charging pile in the charging station; determine the electricity recovery rate of each target charging pile in the charging station based on the recovered electricity of each target charging pile in the charging station, wherein the electricity recovery rate is the ratio between the recovered electricity of the target charging pile and the total charging amount when the target charging pile responds to the reference charging algorithm; determine the electricity recovery rate of the charging station based on the electricity recovery rate of each target charging pile in the charging station.
[0050] The power recovery rate of the charging station can be obtained by weighted calculation of the power recovery rates of each target charging pile. The weight value used for each target charging pile in the weighted calculation can be set by the implementers according to the group to which each target charging pile belongs.
[0051] It should be noted that in the above embodiments, there is no necessarily a certain order between the steps. Those skilled in the art can understand from the description of the embodiments of the present invention that the above steps may have different execution orders in different embodiments, that is, they may be executed in parallel or in turn, etc.
[0052] As another aspect of this invention, this embodiment provides a device for calculating power recovery rate. The device for calculating power recovery rate can be a software module, which includes several instructions stored in a memory. A processor can access the memory, call the instructions, and execute them to complete the power recovery rate calculation method described in the above embodiments.
[0053] In some embodiments, the power recovery rate statistical device can also be built from hardware components. For example, the power recovery rate statistical device can be built from one or more chips, which can work together to complete the power recovery rate statistical method described in the various embodiments above. As another example, the power recovery rate statistical device can also be built from various logic devices, such as general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), microcontrollers, ARM (Acorn RISC Machine) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination of these components.
[0054] Please see Figure 3 This invention provides a device for calculating the power recovery rate, comprising: The statistical confirmation module 310 is used to determine the target charging pile, wherein the target charging pile is at least one charging pile used to respond to the target charging algorithm; The charging monitoring module 320 is used to monitor the charging process of the target charging pile in response to the target charging algorithm and obtain the target charging parameter set; The first calculation module 330 is used to determine the recovered power of the target charging pile according to the target charging parameter set. The recovered power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. The second calculation module 340 is used to determine the energy recovery rate of the target charging pile when responding to the target charging algorithm, based on the recovered energy of the target charging pile.
[0055] In one possible implementation, the target charging parameter set includes a first charging parameter set, and the charging monitoring module 320, when monitoring the charging process of the target charging pile in response to the target charging algorithm and obtaining the target charging parameter set, is specifically used for: The process involves: determining the target charging algorithm corresponding to the target charging pile; determining the target charging plan for the target charging pile based on the target charging algorithm; determining the target charging period for the target charging pile to respond to the target charging algorithm based on the target charging plan; monitoring the charging power of the target charging pile in each target charging period according to the charging period to obtain target charging data for the target charging pile in each target charging period; and determining the first set of charging parameters based on the target charging data.
[0056] In one possible implementation, the target charging set further includes a second charging parameter set. The charging monitoring module 320, when monitoring the charging process of the target charging pile in response to the target charging algorithm and obtaining the target charging parameter set, is specifically used for: A reference charging algorithm corresponding to the target charging pile is determined; a reference charging plan for the target charging pile is determined based on the reference charging algorithm; reference charging data for the target charging pile in each target charging period is determined based on the reference plan and the target charging pile's response to the target charging algorithm; and a second charging parameter set is determined based on the reference charging data.
[0057] In one possible implementation, the first calculation module 330, when determining the recoverable electricity of the target charging pile based on the target charging parameter set, specifically performs the following: Based on the target charging parameter set, each target charging period of the target charging pile in response to the target charging algorithm is determined; based on the target charging period, the recovered electricity of the target charging pile is determined by comparing the charging parameters of the target charging pile in response to the target charging algorithm with those in response to the reference charging algorithm.
[0058] In one possible implementation, the first calculation module 330, when determining the recovered electricity of the target charging pile based on the target charging period by comparing the charging parameters of the target charging pile when responding to the target charging algorithm and when responding to the reference charging algorithm, specifically performs the following: By comparing the charging parameters of the target charging pile under the target charging algorithm and the reference charging algorithm, the first charging amount of the target charging pile in each target charging period when responding to the target charging algorithm and the second charging amount of the target charging pile in each reference charging period when responding to the reference charging algorithm are determined; by comparing the first charging amount and the second charging amount in each target period, the recovered electricity of the target charging pile is determined.
[0059] In one possible implementation, the first calculation module 330, when determining the recovered electricity of the target charging pile by comparing the first charging amount and the second charging amount in each target time period, is specifically used for: By comparing the first charging amount and the second charging amount in each target time period, a reference charging time period is determined. The difference between the first charging amount and the second charging amount of the target charging pile in the reference charging time period is greater than 0. The sum of the first charging amounts of the target charging pile in each reference time period is determined to obtain a first total charging amount. The sum of the second charging amounts of the target charging pile in each reference time period is determined to determine a second total charging amount. The difference between the first total charging amount and the second total charging amount is determined to obtain the recovered electricity.
[0060] In one possible implementation, the second calculation module 340, when determining the energy recovery rate of the target charging pile in response to the target charging algorithm based on the recovered energy of the target charging pile, is further configured to: Determine the recovered electricity of each target charging pile in the charging station; determine the electricity recovery rate of each target charging pile in the charging station based on the recovered electricity of each target charging pile in the charging station, wherein the electricity recovery rate is the ratio between the recovered electricity of the target charging pile and the total charging amount when the target charging pile responds to the reference charging algorithm; determine the electricity recovery rate of the charging station based on the electricity recovery rate of each target charging pile in the charging station.
[0061] It should be noted that the aforementioned power recovery rate statistical device can execute the power recovery rate statistical method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects of the method. Technical details not described in detail in the embodiments of this device can be found in the power recovery rate statistical method provided in the embodiments of the present invention.
[0062] See Figure 4 , Figure 4 This is a schematic diagram of an electronic device provided in an embodiment of the present invention, which implements the statistical method for power recovery rate as described in the above embodiment, and has the necessary hardware structure to achieve the data processing capabilities required to implement the above method. The electronic device includes one or more processors 41 and a memory 42. The memory 42 is connected to one or more processors 41, for example, via a bus.
[0063] Processor 41 is configured to support the electronic device in performing the corresponding functions in the methods described in the above method embodiments. Processor 41 may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The aforementioned hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.
[0064] Memory 42 is used to store program code, etc. Memory 42 may include volatile memory (VM), such as random access memory (RAM); memory may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); memory 42 may also include combinations of the above types of memory.
[0065] The memory 42 can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the power recovery rate statistical method in this embodiment of the invention. The processor 41 executes the various functional applications and data processing of the power recovery rate statistical method and the power recovery rate statistical device by running the non-volatile software programs, instructions, and modules stored in the memory 42, thereby realizing the functions of each module or unit of the power recovery rate statistical method and the power recovery rate statistical device provided in the above method embodiments.
[0066] The memory 42 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function. The data storage area may store data created based on the use of the power recovery rate statistics device. In some embodiments, the memory 42 may optionally include memory remotely located relative to the processor 41, which can be connected to the power recovery rate statistics device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
[0067] The one or more modules are stored in the memory 42. When executed by one or more processors 41, they execute the power recovery rate statistical method in any of the above method embodiments. For example, they execute the method steps described in the above method embodiments to realize the functions of the modules described in the above device embodiments.
[0068] This invention also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a computer, cause the computer to perform the method as described in the foregoing embodiments.
[0069] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.
[0070] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims
1. A statistical method for energy recovery rate, characterized in that, The method includes: Identify a target charging station, wherein the target charging station is at least one charging station used to respond to a target charging algorithm; The charging process of the target charging pile in response to the target charging algorithm is monitored to obtain the target charging parameter set; Based on the target charging parameter set, determine each target charging period in which the target charging pile responds to the target charging algorithm; Based on the target charging period, by comparing the charging parameters of the target charging pile when responding to the target charging algorithm and when responding to the reference charging algorithm, the first charging amount of the target charging pile under the target charging algorithm and the second charging amount of the target charging pile under the reference charging algorithm are determined. By comparing the first charging amount and the second charging amount in each of the target charging periods, a reference charging period is determined, and the difference between the first charging amount and the second charging amount of the target charging pile in the reference charging period is greater than a preset value. The sum of the first charging amounts of the target charging pile in each of the reference charging periods is determined to obtain the first total charging amount; The sum of the second charging amounts of the target charging pile in each of the reference charging periods is determined to obtain the second total charging amount; The difference between the first total charging amount and the second total charging amount is determined to obtain the recovered power of the target charging pile. The recovered power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. Based on the recovered electricity of the target charging pile, the electricity recovery rate of the target charging pile when responding to the target charging algorithm is determined.
2. The statistical method for power recovery rate according to claim 1, characterized in that, The target charging parameter set includes a first charging parameter set. Monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set includes: Determine the target charging algorithm corresponding to the target charging pile; Based on the target charging algorithm, the target charging plan for the target charging pile is determined; Based on the target charging plan, determine the target charging pile's response to the target charging algorithm for each target charging period; According to the charging period, the charging power of the target charging pile is monitored sequentially in each target charging period to obtain the target charging data of the target charging pile in each target charging period. Based on the target charging data, the first set of charging parameters is determined.
3. The statistical method for power recovery rate according to claim 1, characterized in that, The target charging parameter set includes a second charging parameter set. The step of monitoring the charging process of the target charging pile in response to the target charging algorithm to obtain the target charging parameter set further includes: Determine the reference charging algorithm corresponding to the target charging pile; Based on the reference charging algorithm, a reference charging plan for the target charging pile is determined; Based on the reference charging plan and the target charging pile's response to the target charging algorithm during each target charging period, the reference charging data of the target charging pile during each target charging period is determined; Based on the reference charging data, the second set of charging parameters is determined.
4. The statistical method for power recovery rate according to claim 1, characterized in that, The method further includes: Determine the amount of electricity recovered by each target charging pile in the charging station; Based on the recovered electricity of each target charging pile in the charging station, the electricity recovery rate of each target charging pile in the charging station is determined. The electricity recovery rate is the ratio between the recovered electricity of the target charging pile and the total charging amount when the target charging pile responds to the reference charging algorithm. The power recovery rate of the charging station is determined based on the power recovery rate of each target charging pile in the charging station.
5. A statistical device for calculating power recovery rate, characterized in that, The device includes: A statistical confirmation module is used to determine the target charging pile, wherein the target charging pile is at least one charging pile used to respond to the target charging algorithm; The charging monitoring module is used to monitor the charging process of the target charging pile in response to the target charging algorithm and obtain the target charging parameter set; A first calculation module is configured to: determine, based on the target charging parameter set, various target charging periods in which the target charging pile responds to the target charging algorithm; based on the target charging periods, determine, by comparing the charging parameters of the target charging pile when responding to the target charging algorithm with those when responding to a reference charging algorithm, a first charging amount of the target charging pile under the target charging algorithm and a second charging amount of the target charging pile under the reference charging algorithm; determine, by comparing the first charging amount and the second charging amount in each target charging period, a reference charging period is determined, wherein the difference between the first charging amount and the second charging amount of the target charging pile in the reference charging period is greater than a preset value; determine the sum of the first charging amounts of the target charging pile in each reference charging period to obtain a first total charging amount; determine the sum of the second charging amounts of the target charging pile in each reference charging period to obtain a second total charging amount; and determine the difference between the first total charging amount and the second total charging amount to obtain the recovered power of the target charging pile, wherein the recovered power is used to indicate the difference between the total charging amount of the target charging pile when responding to the target charging algorithm and the total charging amount when responding to the reference charging algorithm. The second calculation module is used to determine the energy recovery rate of the target charging pile when responding to the target charging algorithm, based on the recovered energy of the target charging pile.
6. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory being connected to the processor, the processor being configured to execute one or more computer programs stored in the memory, the processor causing the electronic device to implement the statistical method for power recovery rate as described in any one of claims 1-4 when executing the one or more computer programs.
7. A storage medium, characterized in that, The storage medium stores a computer program, which includes program instructions that, when executed by a processor, cause the processor to perform the statistical method for energy recovery rate as described in any one of claims 1-4.
Citation Information
Patent Citations
Charging pile detection management system based on Internet of Things
CN118478730A
