A charging optimization control system and method for electric vehicle charging and battery swapping stations

Abstract

This invention relates to the field of charging optimization control systems. The system described herein includes an electric vehicle charging optimization control system. This system includes a central processing unit (CPU), which is connected to a battery status recording system, a charging rate calculation system, a battery life feedback system, a charging process optimization system, and a battery replacement reminder system. The battery status recording system is connected to the charging rate calculation system, and the charging rate calculation system is connected to the battery life feedback system. This invention allows for the adjustment of charging power through a power tuning module, and then compares the charging speed at different charging power levels through a rate comparison module. Simultaneously, a model comparison module allows for charging tests on different battery models, thereby obtaining the optimal charging power variation corresponding to different battery states based on the comparison.

Description

Technical Field

[0001] This invention relates to the field of charging optimization control system technology, and in particular to a charging optimization control system and method for electric vehicle charging and battery swapping stations. Background Technology

[0002] Electric vehicles, by using renewable energy instead of petroleum as their primary power source, are characterized by low carbon emissions and environmental friendliness, and are gradually becoming a strategic industry direction for major automobile manufacturing countries around the world. Currently, the battery swapping model for electric vehicles adopts a battery leasing approach, and the slow charging method used for centralized battery charging gives the battery swapping model a broad application prospect. However, the existing charging and swapping stations and the power grid often focus on the perspective of the power grid side, which makes this charging model unable to provide a good charging process for many different battery models. This often results in batteries charging at too uniform rates, which affects some batteries. Summary of the Invention

[0003] In view of the aforementioned existing problems, the present invention is proposed.

[0004] Therefore, the present invention provides a charging optimization control system for electric vehicle charging and battery swapping stations, which can provide a good charging process, so that the charging rate of batteries is often consistent during the charging process, and the impact on some batteries is reduced.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a charging optimization control system for an electric vehicle charging and battery swapping station, comprising: a charging optimization control system for an electric vehicle charging and battery swapping station, including an electric vehicle charging optimization control system, wherein the electric vehicle charging optimization control system includes a central processing unit, the central processing unit is connected to a battery status recording system, a charging rate calculation system, a battery life feedback system, a charging process optimization system, and a battery replacement reminder system, the battery status recording system is connected to the charging rate calculation system, the charging rate calculation system is connected to the battery life feedback system, the battery life feedback system is connected to the charging process optimization system, and the charging process optimization system is connected to the battery replacement reminder system.

[0006] As a preferred embodiment of the charging optimization control system for an electric vehicle charging and swapping station according to the present invention, the battery status recording system includes a vehicle-machine charging interaction module, a battery data recording module, and a charging data synchronization module. The vehicle-machine charging interaction module is connected to the battery data recording module, and the battery data recording module is connected to the charging data synchronization module.

[0007] As a preferred embodiment of the charging optimization control system for an electric vehicle charging and swapping station according to the present invention, the charging rate calculation system includes a battery remaining capacity detection module, a charging energy loss calculation module, and a charging rate calculation module. The battery remaining capacity detection module is connected to the charging energy loss calculation module, and the charging energy loss calculation module is connected to the charging rate calculation module.

[0008] As a preferred embodiment of the charging optimization control system for an electric vehicle charging and swapping station according to the present invention, the battery life feedback system includes a battery data acquisition module, a battery life calculation module, and a calculation result feedback module. The battery data acquisition module is connected to the battery life calculation module, and the battery life calculation module is connected to the calculation result feedback module.

[0009] As a preferred embodiment of the charging optimization control system for an electric vehicle charging and swapping station according to the present invention, the charging process optimization system includes a power debugging module, a rate comparison module, a model comparison module, and a mode recording module. The power debugging module is connected to the rate comparison module, the rate comparison module is connected to the model comparison module, and the model comparison module is connected to the mode recording module.

[0010] As a preferred embodiment of the charging optimization control system for an electric vehicle charging and swapping station according to the present invention, the battery replacement reminder system includes a battery life end marking module, a battery replacement warning module, and a damage probability feedback module. The battery life end marking module is connected to the battery replacement warning module, and the battery replacement warning module is connected to the damage probability feedback module.

[0011] Another objective of this invention is to provide a charging optimization control method for electric vehicle charging and battery swapping stations. This method can reduce losses during charging, improve charging efficiency, and thus lower charging costs by optimizing the charging process and control strategies. Based on factors such as the electric vehicle's battery type, battery status, and driving habits, the charging power of each vehicle is rationally allocated to ensure the safety and stability of the charging process.

[0012] As a preferred embodiment of the charging optimization control method for an electric vehicle charging and swapping station according to the present invention, the calculation formula and usage cycle used by the battery life calculation module (142) are as follows:

[0013]

[0014] Usage period =

[0015] in, It is a constant based on battery test data. The current consumed by the device when powered by battery. Depth of discharge is the percentage of the battery's total capacity that has been discharged.

[0016] As a preferred embodiment of the charging optimization control method for an electric vehicle charging and swapping station described in this invention, wherein: the charging power used by the power debugging module (151) With electricity consumption The calculation formula is:

[0017]

[0018]

[0019] in, For charging power, This is the charging current. This is the charging voltage. For charging time, For the battery's rated capacity, This is the ratio of the amount of electricity discharged from the battery to the amount of electricity charged.

[0020] A computer device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of a charging optimization control system for an electric vehicle charging and swapping station.

[0021] A computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of a charging optimization control system for an electric vehicle charging and swapping station.

[0022] The beneficial effects of this invention are as follows: A battery status recording system can record the status of electric vehicle batteries. Through the vehicle-mounted charging interaction module, it can interact with the electric vehicle's infotainment system. The battery data recording module records data, enabling monitoring and recording of the charging status. During charging, the battery remaining capacity detection module monitors the remaining battery capacity, the charging loss calculation module calculates the energy loss during charging, and the damage probability feedback module calculates and provides feedback on the probability of continued battery use, offering further warnings to the driver. The pattern recording module can model and record the optimal charging process for various battery models and states, making subsequent applications more convenient and efficient. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments 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. Wherein:

[0024] Figure 1 This is a schematic diagram of the electric vehicle charging optimization control system architecture for the electric vehicle charging and swapping station of the present invention.

[0025] Figure 2 This is a schematic diagram of the battery status recording system architecture of the charging optimization control system for the electric vehicle charging and swapping station of the present invention.

[0026] Figure 3 This is a schematic diagram of the charging rate calculation system architecture of the charging optimization control system for the electric vehicle charging and swapping station of the present invention.

[0027] Figure 4 This is a schematic diagram of the battery life feedback system architecture of the charging optimization control system for the electric vehicle charging and swapping station of the present invention.

[0028] Figure 5 This is a schematic diagram of the charging process optimization system architecture of the charging optimization control system for the electric vehicle charging and swapping station of the present invention.

[0029] Figure 6 This is a schematic diagram of the battery replacement reminder system architecture of the charging optimization control system for the electric vehicle charging and swapping station of the present invention.

[0030] Figure 7 This is a schematic diagram of the electric vehicle charging and battery swapping optimization control process of the electric vehicle charging and battery swapping station of the present invention.

[0031] In the diagram: 1. Electric vehicle charging optimization control system; 11. Central processing unit; 12. Battery status recording system; 121. Vehicle-machine charging interaction module; 122. Battery data recording module; 123. Charging data synchronization module; 13. Charging rate calculation system; 131. Battery remaining capacity detection module; 132. Charging loss calculation module; 133. Charging rate calculation module; 14. Battery life feedback system; 141. Battery data acquisition module; 142. Battery life calculation module; 143. Calculation result feedback module; 15. Charging process optimization system; 151. Power debugging module; 152. Rate comparison module; 153. Model comparison module; 154. Mode recording module; 16. Battery replacement reminder system; 161. Battery life mark module; 162. Battery replacement warning module; 163. Damage probability feedback module. Detailed Implementation

[0032] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0033] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0034] 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 phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0035] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0036] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0037] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0038] Example 1

[0039] Reference Figures 1-7This is the first embodiment of the present invention, which provides a charging optimization control system for an electric vehicle charging and battery swapping station, comprising:

[0040] Electric vehicle charging optimization control system 1 includes a central processing unit 11. The central processing unit 11 is connected to a battery status recording system 12, a charging rate calculation system 13, a battery life feedback system 14, a charging process optimization system 15, and a battery replacement reminder system 16. The battery status recording system 12 is connected to the charging rate calculation system 13, the charging rate calculation system 13 is connected to the battery life feedback system 14, the battery life feedback system 14 is connected to the charging process optimization system 15, and the charging process optimization system 15 is connected to the battery replacement reminder system 16.

[0041] The battery status recording system 12 includes a vehicle-mounted charging interaction module 121, a battery data recording module 122, and a charging data synchronization module 123. The vehicle-mounted charging interaction module 121 is connected to the battery data recording module 122, and the battery data recording module 122 is connected to the charging data synchronization module 123. Users can use the battery status recording system 12 to record the status of the electric vehicle battery. The vehicle-mounted charging interaction module 121 can interact with the vehicle's infotainment system. The battery data recording module 122 can record the battery data transmitted from the infotainment system. During charging, the charging equipment can synchronize the specific data of the charging parameters with the real-time battery status data in the infotainment system to achieve monitoring and recording of the charging status.

[0042] The charging rate calculation system 13 includes a battery remaining capacity detection module 131, a charging loss calculation module 132, and a charging rate calculation module 133. The battery remaining capacity detection module 131 is connected to the charging loss calculation module 132, and the charging loss calculation module 132 is connected to the charging rate calculation module 133. During charging, the battery remaining capacity can be monitored by the battery remaining capacity detection module 131, and the charging loss calculation module 132 can calculate the energy loss during charging. Thus, the charging rate calculation module 133 can be used to calculate the charging rate of the charging pile for the battery.

[0043] The battery life feedback system 14 includes a battery data acquisition module 141, a battery life calculation module 142, and a calculation result feedback module 143. The battery data acquisition module 141 is connected to the battery life calculation module 142, and the battery life calculation module 142 is connected to the calculation result feedback module 143. The battery data acquisition module 141 can collect and receive data synchronized by the battery status recording system 12. Then, the battery life calculation module 142 can calculate the remaining life of the battery by calculating various battery parameters. The calculation result feedback module 143 can feed back the calculation results to the vehicle system.

[0044] The charging process optimization system 15 includes a power adjustment module 151, a rate comparison module 152, a model comparison module 153, and a mode recording module 154. The power adjustment module 151 is connected to the rate comparison module 152, the rate comparison module 152 is connected to the model comparison module 153, and the model comparison module 153 is connected to the mode recording module 154. The power adjustment module 151 can adjust the charging power. The rate comparison module 152 can compare the charging speed at different charging power levels. The model comparison module 153 can perform charging tests on different battery models, thereby obtaining the optimal charging power change corresponding to different battery states based on the comparison. The mode recording module 154 can model and record the optimal charging process of each battery model and in different states, making it more convenient and faster for subsequent applications.

[0045] The battery replacement reminder system 16 includes a battery lifespan marking module 161, a battery replacement warning module 162, and a damage probability feedback module 163. The battery lifespan marking module 161 is connected to the battery replacement warning module 162, and the battery replacement warning module 162 is connected to the damage probability feedback module 163. When it is calculated that the battery is about to reach its safe service life limit, the battery lifespan marking module 161 can mark the battery and upload it to the vehicle system. The battery replacement warning module 162 will then remind the battery to replace it, and the damage probability feedback module 163 will calculate and provide feedback on the probability of damage to the battery if it continues to be used, thus providing further warning to the driver.

[0046] Example 2

[0047] As one embodiment of the present invention, a charging optimization control system for an electric vehicle charging and swapping station is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0048] In practical use, the battery status recording system 12 can record the status of the electric vehicle battery. The vehicle-mounted charging interaction module 121 interacts with the vehicle's infotainment system. The battery data recording module 122 records the battery data transmitted from the infotainment system. During charging, the charging equipment synchronizes the specific charging parameters with the real-time battery status data in the infotainment system, enabling monitoring and recording of the charging status. During charging, the battery remaining capacity detection module 131 monitors the remaining battery capacity, and the charging loss calculation module 132 calculates the energy loss during charging. The charging rate calculation module 133 calculates the charging rate of the battery from the charging pile. During this process, the battery data acquisition module 141 collects and receives data synchronized by the battery status recording system 12. The battery life calculation module 142 then calculates the remaining battery life based on various battery parameters. The calculation result feedback module 143 can feed the calculation results back to the vehicle system. When it is calculated that the battery is about to reach the safe limit of its service life, the battery life mark module 161 can mark the battery and upload it to the vehicle system. The battery replacement warning module 162 can remind the battery to replace it, and the damage probability feedback module 163 can calculate and feed back the damage probability of the battery if it continues to be used, so as to further warn the driver. During the charging process, the power adjustment module 151 can adjust the charging power. Then, the rate comparison module 152 can compare the charging speed at different charging power. At the same time, the model comparison module 153 can perform charging tests on different models of batteries, so as to obtain the optimal charging power change corresponding to different states of batteries. The mode recording module 154 can model and record the optimal charging process of each model and different states of batteries, making it more convenient and faster in subsequent applications.

[0049] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0050] Example 3

[0051] The third embodiment of the present invention differs from the first two embodiments in that:

[0052] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0053] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0054] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0055] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0056] Example 4

[0057] One embodiment of the present invention provides a charging optimization control system for an electric vehicle charging and swapping station, characterized in that it includes a central processing unit 11, a battery status recording system 12, a charging rate calculation system 13, a battery life feedback system 14, a charging process optimization system 15, and a battery replacement reminder system 16.

[0058] The central processing unit (CPU) 11, as the core of the entire system, is responsible for coordinating and controlling the work of various subsystems. It optimizes and adjusts the charging process based on real-time battery status, charging rate, and battery life information.

[0059] The battery status recording system 12 is used to monitor and record the battery's voltage, current, and capacity parameters in real time. The data is transmitted to the central processing unit 11 for analysis and optimization of the charging process.

[0060] The charging rate calculation system 13 calculates the real-time charging rate based on the data provided by the battery status recording system 12. The central processing unit 11 adjusts the charging strategy according to the changes in the charging rate to ensure the safety and efficiency of the charging process.

[0061] The battery life feedback system 14 monitors the battery life and feeds back relevant information to the central processing unit 11. The central processing unit can adjust the charging parameters according to the changes in battery life to extend the battery life.

[0062] The charging process optimization system 15 optimizes the charging process in real time according to the instructions of the central processing unit 11. During the charging process, it adjusts parameters such as charging power and charging time based on battery status and charging rate information to improve charging efficiency.

[0063] The battery replacement reminder system 16 prompts the user to replace the battery when the battery life drops to a preset threshold. The central processing unit 11 arranges the battery replacement reasonably based on the battery life and the replacement reminder to ensure the user experience.

[0064] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0065] Example 5

[0066] As one embodiment of the present invention, a charging optimization control system for an electric vehicle charging and swapping station is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0067] The calculation formula and usage cycle used by the battery life calculation module (142) are as follows:

[0068]

[0069] Usage period =

[0070] in, It is a constant based on battery test data. The current consumed by the device when powered by battery. Depth of discharge is the percentage of the battery's total capacity that has been discharged.

[0071] The charging power used by the power adjustment module 151 With electricity consumption The calculation formula is:

[0072]

[0073]

[0074] in, For charging power, This is the charging current. This is the charging voltage. For charging time, For the battery's rated capacity, This is the ratio of the amount of electricity discharged from the battery to the amount of electricity charged.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A charging optimization control system for an electric vehicle charging and battery swapping station, comprising an electric vehicle charging optimization control system (1), characterized in that: The electric vehicle charging optimization control system (1) includes a central processing unit (11), which is connected to a battery status recording system (12), a charging rate calculation system (13), a battery life feedback system (14), a charging process optimization system (15), and a battery replacement reminder system (16). The battery status recording system (12) is connected to the charging rate calculation system (13), the charging rate calculation system (13) is connected to the battery life feedback system (14), the battery life feedback system (14) is connected to the charging process optimization system (15), and the charging process optimization system (15) is connected to the battery replacement reminder system (16). The battery status recording system (12) includes a vehicle charging interaction module (121), a battery data recording module (122) and a charging data synchronization module (123). The vehicle charging interaction module (121) is connected to the battery data recording module (122), and the battery data recording module (122) is connected to the charging data synchronization module (123). The charging rate calculation system (13) includes a battery balance detection module (131), a charging loss calculation module (132) and a charging rate calculation module (133). The battery balance detection module (131) is connected to the charging loss calculation module (132), and the charging loss calculation module (132) is connected to the charging rate calculation module (133). The battery life feedback system (14) includes a battery data acquisition module (141), a battery life calculation module (142), and a calculation result feedback module (143). The battery data acquisition module (141) is connected to the battery life calculation module (142), and the battery life calculation module (142) is connected to the calculation result feedback module (143). The calculation formula and usage cycle used by the battery life calculation module (142) are as follows: Usage period = in, It is a constant based on battery test data. The current consumed by the device when powered by battery. Depth of discharge is the percentage of the battery's total capacity that has been discharged. The charging process optimization system (15) includes a power debugging module (151), a rate comparison module (152), a model comparison module (153), and a mode recording module (154). The power debugging module (151) is connected to the rate comparison module (152), the rate comparison module (152) is connected to the model comparison module (153), and the model comparison module (153) is connected to the mode recording module (154). The battery replacement reminder system (16) includes a battery life mark module (161), a battery replacement warning module (162), and a damage probability feedback module (163). The battery life mark module (161) is connected to the battery replacement warning module (162), and the battery replacement warning module (162) is connected to the damage probability feedback module (163).

2. A method for a charging optimization control system for an electric vehicle charging and swapping station as described in claim 1, characterized in that: The charging power used by the power adjustment module (151) With electricity consumption The calculation formula is: in, For charging power, This is the charging current. This is the charging voltage. For charging time, For the battery's rated capacity, This is the ratio of the amount of electricity discharged from the battery to the amount of electricity charged.

3. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in claim 2.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method of claim 2.

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