Charging efficiency calculation apparatus and method based on charging pile and BMS, terminal and medium

Abstract

Provided in the present application are a charging efficiency calculation apparatus and method based on a charging pile and a BMS, a terminal and a medium. In the apparatus, during a vehicle charging process, a data acquisition module acquires, in real time, charging pile input electrical signal data of an input end and charging pile output electrical signal data of an output end of a charging pile to be monitored; a battery management system interface module acquires battery BMS data from a battery management system of a vehicle in real time; and a data processing and calculation module calculates the real-time charging efficiency of said charging pile by means of using a power integration algorithm and on the basis of the data acquired by the data acquisition module and the battery management system interface module. The present application implements real-time calculation of charging efficiency by using an architecture for collaboratively monitoring a charging pile and a battery management system, and fully considers losses of charging processes, thereby improving the accuracy of efficiency calculation. The present application can adapt to different types of charging piles and electric vehicles, and has good universality and extensibility.

Description

Charging efficiency calculation device, method, terminal and medium based on charging pile and BMS Technical Field

[0001] This application relates to the field of new energy vehicle charging technology, and in particular to a charging efficiency calculation device, method, terminal and medium based on charging piles and BMS. Background Technology

[0002] With the widespread adoption of electric vehicles, charging stations, as crucial infrastructure for replenishing electric vehicle energy, directly impact energy economy and the environment through their charging and discharging efficiency. However, current charging stations lack effective methods for real-time monitoring of energy conversion efficiency during charging, making it difficult to accurately assess the energy efficiency ratio and hindering optimized operation and maintenance. Existing technologies estimate charging efficiency by calculating the ratio of input power to output power. However, this direct calculation method ignores various losses during charging, leading to significant discrepancies between the calculated results and reality. Furthermore, the charging process is dynamic; battery capacity and charging strategies change over time. The direct calculation method, being static, cannot adjust its calculation based on real-time changes, resulting in delayed or inaccurate efficiency calculations that fail to reflect actual efficiency changes. Finally, the direct calculation method is ill-suited to different types of charging stations and electric vehicles, as well as the dynamic changes during charging, limiting the generalization ability of the calculation results. Summary of the Invention

[0003] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a charging efficiency calculation device, method, terminal and medium based on charging piles and BMS, so as to solve the problem of inaccurate efficiency calculation results of the direct calculation method in the prior art.

[0004] To achieve the above and other related objectives, a first aspect of this application provides a charging efficiency calculation device based on a charging pile and a battery management system (BMS), connected to a vehicle charging system. The vehicle charging system includes a charging pile under test and a vehicle being charged by the charging pile. The device includes a data acquisition module, a battery management system interface module, and a data processing and calculation module. The data acquisition module is located at the charging pile under test. The battery management system interface module is connected to the battery management system of the vehicle being charged by the charging pile under test. The data processing and calculation module is connected to both the data acquisition module and the battery management system interface module. During vehicle charging, the data acquisition module collects real-time charging pile input electrical signal data at the input end of the charging pile under test and charging pile output electrical signal data at the output end of the charging pile under test. The battery management system interface module obtains real-time battery BMS data from the vehicle's battery management system. The data processing and calculation module uses a power integral algorithm to calculate the real-time charging efficiency of the charging pile under test based on the charging pile input electrical signal data, the charging pile output electrical signal data, and the battery BMS data.

[0005] In some embodiments of the first aspect of this application, the data acquisition module includes: an input current sensor and an input voltage sensor disposed at the input end of the charging pile under test; wherein, the input current sensor is used to acquire input current data of the input end of the charging pile under test in real time during vehicle charging; the input voltage sensor is used to acquire input voltage data of the input end of the charging pile under test in real time during vehicle charging; the input current data and the input voltage data of the input end of the charging pile under test constitute the charging pile input electrical signal data of the input end of the charging pile under test.

[0006] In some embodiments of the first aspect of this application, the data acquisition module further includes: an output current sensor and an output voltage sensor disposed at the output end of the charging pile under test; wherein, the output current sensor is used to collect output current data of the output end of the charging pile under test in real time during vehicle charging; the output voltage sensor is used to collect output voltage data of the output end of the charging pile under test in real time during vehicle charging; the output current data and the output voltage data of the output end of the charging pile under test constitute the charging pile output electrical signal data of the output end of the charging pile under test.

[0007] In some embodiments of the first aspect of this application, the battery BMS data includes: input current data and input voltage data of the vehicle battery.

[0008] In some embodiments of the first aspect of this application, the data processing and calculation module includes: a power calculation unit, used to calculate the charging pile input power, the charging pile output power, and the battery charging power using a power integral algorithm based on the input current data of the charging pile input terminal, the input voltage data of the charging pile input terminal, the output current data of the charging pile output terminal, the output voltage data of the charging pile output terminal, the input current data of the vehicle battery, and the output current data of the vehicle battery; and a charging efficiency calculation unit, used to calculate the real-time charging efficiency of the charging pile under test based on the charging pile input power, the charging pile output power, and the battery charging power.

[0009] In some embodiments of the first aspect of this application, the power integration algorithm includes: a charging pile input power integration algorithm, a charging pile output power integration algorithm, and a battery charging power integration algorithm; wherein, based on the input current data and input voltage data of the charging pile input terminal, the charging pile input power integration algorithm is used to calculate the charging pile input power; based on the output current data and output voltage data of the charging pile output terminal, the charging pile output power integration algorithm is used to calculate the charging pile output power; and based on the input current data and input voltage data of the vehicle battery, the battery charging power integration algorithm is used to calculate the battery charging power.

[0010] In some embodiments of the first aspect of this application, the charging efficiency calculation unit includes: a first charging efficiency calculation subunit, configured to calculate a first charging efficiency based on the input power of the charging pile and the output power of the charging pile; and calculate a second charging efficiency based on the charging power of the battery and the output power of the charging pile; and a second charging efficiency calculation subunit, configured to multiply the first charging efficiency and the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test.

[0011] To achieve the above and other related objectives, a second aspect of this application provides a method for calculating charging efficiency based on a charging pile and a battery management system (BMS), applied to a vehicle charging system. The vehicle charging system includes a charging pile under test and a vehicle being charged by the charging pile. The method includes: during vehicle charging, real-time acquisition of charging pile input electrical signal data at the input end of the charging pile under test and charging pile output electrical signal data at the output end of the charging pile under test, and real-time acquisition of battery BMS data from the vehicle's battery management system; and using a power integral algorithm, calculating the real-time charging efficiency of the charging pile under test based on the charging pile input electrical signal data, the charging pile output electrical signal data, and the battery BMS data.

[0012] To achieve the above and other related objectives, a third aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the charging efficiency calculation method based on a charging pile and a BMS.

[0013] To achieve the above and other related objectives, a fourth aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the charging efficiency calculation method based on a charging pile and a BMS.

[0014] As described above, the charging efficiency calculation device, method, terminal, and medium based on charging piles and BMS of this application have the following beneficial effects:

[0015] (1) This application ensures seamless integration of data acquisition, processing and charging efficiency calculation by adopting an architecture that coordinates the monitoring of charging piles and battery management systems;

[0016] (2) This application realizes real-time calculation of charging efficiency and fully considers the loss during the charging process, thus improving the accuracy of charging efficiency calculation.

[0017] (3) This application can adapt to different types of charging piles and electric vehicles, and has good versatility and expandability. Attached Figure Description

[0018] Figure 1 shows a schematic block diagram of a charging efficiency calculation device based on a charging pile and BMS in one embodiment of this application.

[0019] Figure 2 shows a schematic diagram of the charging efficiency calculation process in one embodiment of this application.

[0020] Figure 3 shows a flowchart of a charging efficiency calculation method based on a charging pile and BMS in one embodiment of this application.

[0021] Figure 4 shows a schematic diagram of the structure of an electronic terminal in one embodiment of this application. Detailed Implementation

[0022] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0023] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0024] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0025] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0026] To facilitate understanding of the embodiments of this application, a detailed description will first be provided with reference to FIG1. ​​FIG1 shows a schematic block diagram of a charging efficiency calculation device based on a charging pile and BMS according to an embodiment of the present invention. The charging efficiency calculation device 1 based on a charging pile and BMS in this embodiment is connected to a vehicle charging system 2. The vehicle charging system 2 includes: a charging pile 21 to be tested and a vehicle 22 charged by the charging pile 21 to be tested. The device 1 includes:

[0027] Data acquisition module 11, battery management system interface module 12, and data processing and calculation module 13;

[0028] The data acquisition module 11 is installed on the charging pile under test; the battery management system interface module 12 is connected to the battery management system of the vehicle 22 being charged by the charging pile 21 under test; and the data processing and calculation module 13 is connected to the data acquisition module 11 and the battery management system interface module 12 respectively.

[0029] During the vehicle charging process, the data acquisition module 11 collects the charging pile input electrical signal data at the input end of the charging pile under test and the charging pile output electrical signal data at the output end of the charging pile under test in real time, and the battery management system interface module 12 obtains the battery BMS data from the battery management system of the vehicle 22 in real time.

[0030] The data processing and calculation module 13 uses a power integral algorithm to calculate the real-time charging efficiency of the charging pile under test based on the input electrical signal data of the charging pile, the output electrical signal data of the charging pile, and the battery BMS data.

[0031] It should be understood that the module division in the embodiments of this application is illustrative and only represents a logical functional division. In actual implementation, there may be other division methods. Furthermore, the functional modules in the various embodiments of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0032] It should be noted that the vehicle charging process refers to the process of the charging station charging the electric vehicle after the charging pile is connected to the electric vehicle and charging is initiated. A Battery Management System (BMS) is an electronic system used to monitor and manage the battery energy storage units of an electric vehicle, and is crucial for battery packs in applications such as electric vehicles. The main functions of a BMS include, but are not limited to, monitoring battery operating status, battery charge and discharge management, equalization between individual cells, fault diagnosis and protection, etc.

[0033] It should also be noted that this invention combines battery-side data provided by the battery management system (BMS) with electrical signal data from the charging pile to achieve refined charging efficiency calculation. The integration of battery BMS data not only improves calculation accuracy but also more accurately reflects the actual amount of charge deposited into the battery. This invention, by employing an architecture that collaboratively monitors the charging pile and the BMS, ensures seamless integration of data acquisition, processing, and charging efficiency calculation. The device design of this invention ensures real-time charging efficiency calculation, is adaptable to different types of charging piles and electric vehicles, and possesses good versatility and scalability. Utilizing battery BMS data, charging strategies can be further optimized, improving charging process safety and battery life.

[0034] In one embodiment, as shown in Figure 2, the specific process of calculating the charging efficiency includes: the data acquisition module collects the charging pile input electrical signal data at the input end of the charging pile under test and the charging pile output electrical signal data at the output end of the charging pile under test in real time, and obtains the battery BMS data in real time; using the power integration algorithm, the real-time charging efficiency of the charging pile under test is calculated based on the charging pile input electrical signal data, the charging pile output electrical signal data and the battery BMS data.

[0035] In one embodiment, the data acquisition module includes: an input current sensor and an input voltage sensor disposed at the input end of the charging pile under test; wherein, the input current sensor is used to acquire the input current data of the input end of the charging pile under test in real time during the vehicle charging process; the input voltage sensor is used to acquire the input voltage data of the input end of the charging pile under test in real time during the vehicle charging process; the input current data and the input voltage data of the input end of the charging pile under test constitute the charging pile input electrical signal data of the input end of the charging pile under test.

[0036] It should be noted that current measurement can be performed using commonly used current sensors, and voltage measurement can be performed using commonly used voltage sensors; this invention does not limit the scope of the invention.

[0037] In one embodiment, the data acquisition module further includes: an output current sensor and an output voltage sensor disposed at the output end of the charging pile under test; wherein, the output current sensor is used to collect the output current data of the output end of the charging pile under test in real time during the vehicle charging process; the output voltage sensor is used to collect the output voltage data of the output end of the charging pile under test in real time during the vehicle charging process; the output current data and the output voltage data of the output end of the charging pile under test constitute the charging pile output electrical signal data of the output end of the charging pile under test.

[0038] It should be noted that current measurement can be performed using commonly used current sensors, and voltage measurement can be performed using commonly used voltage sensors; this invention does not limit the scope of the invention.

[0039] In one embodiment, the battery managed by the battery management system of the vehicle being charged by the charging pile under test is the vehicle battery of the vehicle being charged by the charging pile under test; the battery BMS data of the vehicle battery managed by the battery management system can be obtained from the battery management system of the vehicle being charged by the charging pile under test through the BMS (Battery Management System) interface.

[0040] In one embodiment, the battery BMS data includes: input current data and input voltage data of the vehicle battery.

[0041] In one embodiment, the data processing and calculation module includes: a power calculation unit, used to calculate the charging pile input power, charging pile output power, and battery charging power using a power integral algorithm based on the input current data of the charging pile input terminal, the input voltage data of the charging pile input terminal, the output current data of the charging pile output terminal, the output voltage data of the charging pile output terminal, the input current data of the vehicle battery, and the output current data of the vehicle battery; and a charging efficiency calculation unit, used to calculate the real-time charging efficiency of the charging pile under test based on the charging pile input power, the charging pile output power, and the battery charging power.

[0042] In one embodiment, the power integration algorithm includes: a charging pile input power integration algorithm, a charging pile output power integration algorithm, and a battery charging power integration algorithm.

[0043] In one embodiment, the specific process of calculating the charging pile input power, the charging pile output power, and the battery charging power using a power integral algorithm includes:

[0044] Based on the input current and input voltage data of the charging pile under test, the input power of the charging pile is calculated using the integrated algorithm of the charging pile input power.

[0045] The calculation formula for the charging pile input power integral algorithm is as follows: Formula 1: Q in =∫I in U in d t ; (Formula 1)

[0046] And among them, Q in Input power to the charging station, I in d represents the input current data at the charging pile's input terminal. t The input voltage data at the charging pile input terminal, ∫d t For integration;

[0047] Based on the output current and output voltage data of the charging pile under test, the output power of the charging pile is calculated using the integrated algorithm of the charging pile output power.

[0048] The calculation formula for the integral algorithm of the charging pile output power is as follows: Formula 2: Q out =∫I out U out d t ; (Formula 2)

[0049] And among them, Q out To output power to the charging station, I out U represents the output current data at the charging pile's output terminal. outThe output voltage data at the charging pile's output terminal, ∫d t For integration;

[0050] Based on the input current and input voltage data of the vehicle battery, the battery charge amount is calculated using the battery charge integral algorithm.

[0051] The calculation formula for the battery charge integral algorithm is shown in Formula 3 below: Q BMS =∫I BMS U BMS d t ; (Formula 3)

[0052] And among them, Q BMS To charge the battery, I BMS For the input current data of the vehicle battery, U BMS For the input voltage data of the vehicle battery, ∫d t For integration.

[0053] It should be noted that the charging pile's own losses can be calculated based on the changes in electrical signals at its input and output ends. Furthermore, charging losses such as cable and battery internal resistance can be calculated based on the electrical signal data at the charging pile's output end and the battery's BMS data. By coordinating the monitoring of the charging pile and the battery management system, charging losses such as cable and battery internal resistance can be calculated, reducing calculation errors, improving the accuracy of charging efficiency calculations, and contributing to optimized scheduling and fault diagnosis of charging piles.

[0054] In one embodiment, the charging efficiency calculation unit includes: a first charging efficiency calculation subunit, used to calculate a first charging efficiency based on the input power of the charging pile and the output power of the charging pile; and to calculate a second charging efficiency based on the charging power of the battery and the output power of the charging pile; and a second charging efficiency calculation subunit, used to multiply the first charging efficiency and the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test.

[0055] Specifically, based on the input and output power of the charging station, refer to Formula 4 below to calculate the first charging efficiency:

[0056] Where EFF1 is the first charging efficiency, Q out Q outputs power to the charging station in Input power to the charging station.

[0057] Furthermore, based on the battery charge and the charging station output, the second charging efficiency is calculated using the following formula 5:

[0058] Where EFF2 is the first charging efficiency, Qout Q outputs power to the charging station BMS Charge the battery.

[0059] Furthermore, referring to Formula 6 below, the first charging efficiency is multiplied by the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test: EFF=EFF1×EFF2; (Formula 6)

[0060] Wherein, EFF represents the real-time charging efficiency of the charging pile under test, EFF1 is the first charging efficiency, and EFF2 is the second charging efficiency. It should be noted that this invention can calculate charging efficiency in real time and can quickly respond to dynamic changes during the charging process.

[0061] In one embodiment, the data processing and computing module can be a chip, including but not limited to CPUs, MCUs, etc. Other devices with data processing and computing functions can also be used, and the present invention does not limit them.

[0062] In one embodiment, the charging efficiency calculation device based on the charging pile and BMS is also connected to a user terminal or monitoring center. The user terminal or monitoring center receives and displays the real-time charging efficiency of the charging pile under test, thereby facilitating monitoring by users and maintenance personnel. It should be noted that the user terminal includes, but is not limited to, computers, mobile phones, etc., and the present invention does not limit it.

[0063] Figure 3 is a flowchart illustrating the charging efficiency calculation method based on charging piles and BMS provided in this application embodiment. As shown in Figure 3, this charging efficiency calculation method based on charging piles and BMS is applied to a vehicle charging system, which includes: a charging pile to be tested and a vehicle being charged by the charging pile to be tested. The method includes:

[0064] Step S31: During the vehicle charging process, the charging pile input electrical signal data at the input end of the charging pile under test and the charging pile output electrical signal data at the output end of the charging pile under test are collected in real time, and the battery BMS data is obtained in real time from the vehicle's battery management system.

[0065] Step S32: Using the power integral algorithm, calculate the real-time charging efficiency of the charging pile under test based on the input electrical signal data of the charging pile, the output electrical signal data of the charging pile, and the battery BMS data.

[0066] It should be understood that the specific implementation methods and steps described above have been described in detail in the above device embodiments, and will not be repeated here for the sake of brevity.

[0067] In one embodiment, the charging pile input electrical signal data includes: input current data and input voltage data of the charging pile input terminal under test; the charging pile input electrical signal data is collected by an input current sensor and an input voltage sensor disposed at the input terminal of the charging pile under test; the input current sensor is used to collect the input current data of the charging pile input terminal under test in real time during vehicle charging; the input voltage sensor is used to collect the input voltage data of the charging pile input terminal under test in real time during vehicle charging.

[0068] In one embodiment, the charging pile output electrical signal data includes: output current data and output voltage data of the charging pile output terminal; the charging pile output electrical signal data is collected by an output current sensor and an output voltage sensor disposed at the output terminal of the charging pile under test; the output current sensor is used to collect the output current data of the charging pile output terminal in real time during vehicle charging; the output voltage sensor is used to collect the output voltage data of the charging pile output terminal in real time during vehicle charging.

[0069] In one embodiment, the battery managed by the battery management system of the vehicle being charged by the charging pile under test is the vehicle battery of the vehicle being charged by the charging pile under test; the battery BMS data of the vehicle battery managed by the battery management system can be obtained from the battery management system of the vehicle being charged by the charging pile under test through the BMS (Battery Management System) interface module.

[0070] In one embodiment, the battery BMS data includes: input current data and input voltage data of the vehicle battery.

[0071] In one embodiment, a power integral algorithm is used to calculate the real-time charging efficiency of the charging pile under test based on the input electrical signal data, output electrical signal data, and battery BMS data. This includes: using the power integral algorithm to calculate the charging pile input power, charging pile output power, and battery charging power based on the input current data, input voltage data, output current data, output voltage data, vehicle battery input current data, and vehicle battery output current data; and calculating the real-time charging efficiency of the charging pile under test based on the charging pile input power, charging pile output power, and battery charging power.

[0072] In one embodiment, the power integration algorithm includes: a charging pile input power integration algorithm, a charging pile output power integration algorithm, and a battery charging power integration algorithm;

[0073] Based on the input current and input voltage data of the charging pile under test, the input power of the charging pile is calculated using the integrated algorithm of the charging pile input power.

[0074] Based on the output current and output voltage data of the charging pile under test, the output power of the charging pile is calculated using the integrated algorithm of the charging pile output power.

[0075] Based on the input current and input voltage data of the vehicle battery, the battery charge amount is calculated using the battery charge integral algorithm.

[0076] In one embodiment, the specific process of calculating the real-time charging efficiency of the charging pile under test based on the input power of the charging pile, the output power of the charging pile, and the charging power of the battery includes: calculating a first charging efficiency based on the input power of the charging pile and the output power of the charging pile; calculating a second charging efficiency based on the charging power of the battery and the output power of the charging pile; and multiplying the first charging efficiency and the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test.

[0077] In one embodiment, the charging efficiency calculation device based on the charging pile and BMS further includes a communication module, used to send the calculated real-time charging efficiency of the charging pile under test to a user terminal or monitoring center, so that the user terminal or monitoring center can receive and display the real-time charging efficiency of the charging pile under test, thereby facilitating monitoring by users and maintenance personnel. It should be noted that the user terminal includes, but is not limited to, computers, mobile phones, etc., and this invention does not limit it.

[0078] Figure 4 is a schematic block diagram of an electronic terminal provided in an embodiment of this application. As shown in Figure 4, the electronic terminal includes at least one processor 401, a memory 402, at least one network interface 403, and a user interface 405. The various components in the device are coupled together via a bus system 404. It is understood that the bus system 404 is used to implement communication between these components. In addition to a data bus, the bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for clarity, all buses are labeled as a bus system in Figure 4.

[0079] The user interface 405 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0080] It is understood that memory 402 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0081] In this embodiment of the invention, the memory 402 is used to store various types of data to support the operation of the electronic terminal 400. Examples of this data include: any executable program for operation on the electronic terminal 400, such as the operating system 4021 and application program 4022; the operating system 4021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 4022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The charging efficiency calculation method based on charging piles and BMS provided in this embodiment of the invention can be included in the application program 4022.

[0082] The methods disclosed in the above embodiments of the present invention can be applied to processor 401, or implemented by processor 401. Processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 401 or by instructions in the form of software. The processor 401 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 401 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 401 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in a memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0083] In an exemplary embodiment, the electronic terminal 400 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs) to perform the aforementioned method.

[0084] According to the method provided in the embodiments of this application, this application also provides a computer program product, which includes: computer program code, which, when run on a computer, causes the computer to execute the charging efficiency calculation method based on charging pile and BMS in the embodiment shown in FIG3.

[0085] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code. When the program code is run on a computer, the computer executes the charging efficiency calculation method based on charging pile and BMS in the embodiment shown in FIG3.

[0086] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0087] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0088] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0089] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0090] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0092] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs, DVDs), or semiconductor media (e.g., solid-state disks, SSDs, etc.).

[0093] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part 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 of the various embodiments of this application. 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.

[0094] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0095] In summary, this application provides a charging efficiency calculation device, method, terminal, and medium based on a charging pile and a Battery Management System (BMS). During vehicle charging, the device's data acquisition module collects real-time input and output electrical signal data from the charging pile at both the input and output ends. The battery management system interface module obtains real-time BMS data from the vehicle's battery management system. The data processing and calculation module uses a power integral algorithm to calculate the real-time charging efficiency of the charging pile under test based on the data collected by the data acquisition module and the battery management system interface module. This application achieves real-time charging efficiency calculation by employing a collaborative monitoring architecture for the charging pile and battery management system, and fully considers losses during the charging process, thus improving the accuracy of efficiency calculation. This application is adaptable to different types of charging piles and electric vehicles, exhibiting good versatility and scalability. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0096] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A charging efficiency calculation device based on a charging pile and a BMS, characterized in that, A device for connecting a vehicle charging system, the vehicle charging system comprising: a charging pile to be tested and a vehicle being charged by the charging pile to be tested, the device comprising: Data acquisition module, battery management system interface module, and data processing and calculation module; The data acquisition module is installed at the charging pile under test; the battery management system interface module is connected to the battery management system of the vehicle being charged by the charging pile under test; and the data processing and calculation module is connected to both the data acquisition module and the battery management system interface module. During vehicle charging, the data acquisition module collects the charging pile input electrical signal data at the input end of the charging pile under test and the charging pile output electrical signal data at the output end of the charging pile under test in real time, and the battery management system interface module obtains the battery BMS data from the vehicle's battery management system in real time. The data acquisition module includes: an input current sensor and an input voltage sensor disposed at the input end of the charging pile under test; Furthermore, the input current sensor is used to collect the input current data of the charging pile under test in real time during the vehicle charging process; the input voltage sensor is used to collect the input voltage data of the charging pile under test in real time during the vehicle charging process; the input current data and the input voltage data of the charging pile under test constitute the charging pile input electrical signal data of the charging pile under test. The data acquisition module also includes: an output current sensor and an output voltage sensor disposed at the output end of the charging pile under test; Furthermore, the output current sensor is used to collect the output current data of the charging pile under test in real time during the vehicle charging process; the output voltage sensor is used to collect the output voltage data of the charging pile under test in real time during the vehicle charging process; the output current data and the output voltage data of the charging pile under test constitute the charging pile output electrical signal data of the charging pile under test. The battery BMS data includes: input current data and input voltage data of the vehicle battery; The data processing and calculation module uses a power integral algorithm to calculate the real-time charging efficiency of the charging pile under test based on the input electrical signal data of the charging pile, the output electrical signal data of the charging pile, and the battery BMS data. The data processing and calculation module includes: The power calculation unit is used to calculate the charging pile input power, charging pile output power, and battery charging power using a power integral algorithm, based on the input current data, input voltage data, output current data, output voltage data, vehicle battery input current data, and vehicle battery output current data. The charging efficiency calculation unit is used to calculate the real-time charging efficiency of the charging pile under test based on the input power of the charging pile, the output power of the charging pile, and the charging power of the battery. The power integration algorithm includes: a charging pile input power integration algorithm, a charging pile output power integration algorithm, and a battery charging power integration algorithm. Furthermore, based on the input current data and input voltage data of the charging pile input terminal, the charging pile input power integration algorithm is used to calculate the charging pile input power. Based on the output current and output voltage data of the charging pile under test, the output power of the charging pile is calculated using the integrated algorithm for output power. Based on the input current and input voltage data of the vehicle battery, the battery charge capacity is calculated using the battery charge capacity integration algorithm. The charging efficiency calculation unit includes: The first charging efficiency calculation subunit is used to calculate a first charging efficiency based on the input power of the charging pile and the output power of the charging pile; and to calculate a second charging efficiency based on the charging power of the battery and the output power of the charging pile. The second charging efficiency calculation subunit is used to multiply the first charging efficiency by the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test.

2. A method for calculating charging efficiency based on charging piles and BMS, characterized in that, The method is applied to a vehicle charging system, the vehicle charging system comprising: a charging pile to be tested and a vehicle being charged by the charging pile to be tested, the method comprising: During vehicle charging, the system collects real-time input electrical signal data from the input terminal and output electrical signal data from the output terminal of the charging pile under test, and obtains real-time battery BMS data from the vehicle's battery management system. The input electrical signal data includes the input current and input voltage data of the charging pile under test; the output electrical signal data includes the output current and output voltage data of the charging pile under test; and the battery BMS data includes the input current and input voltage data of the vehicle battery. Using a power integral algorithm, the real-time charging efficiency of the charging pile under test is calculated based on the input electrical signal data of the charging pile, the output electrical signal data of the charging pile, and the battery BMS data. Specifically, the real-time charging efficiency of the charging pile under test is calculated using a power integral algorithm based on the input electrical signal data, output electrical signal data, and battery BMS data. This includes: using the power integral algorithm to calculate the input power, output power, and battery charge based on the input current data, input voltage data, output current data, output voltage data, vehicle battery input current data, and vehicle battery output current data; and then calculating the real-time charging efficiency of the charging pile under test based on these parameters. The power integration algorithm includes: a charging pile input power integration algorithm, a charging pile output power integration algorithm, and a battery charging power integration algorithm. Based on the input current and input voltage data of the charging pile under test, the input power of the charging pile is calculated using the integrated algorithm of the charging pile input power. Based on the output current and output voltage data of the charging pile under test, the output power of the charging pile is calculated using the integrated algorithm of the charging pile output power. Based on the input current and input voltage data of the vehicle battery, the battery charge capacity is calculated using the battery charge capacity integration algorithm. The specific process of calculating the real-time charging efficiency of the charging pile under test based on the input power, output power, and battery charge includes: calculating a first charging efficiency based on the input power and output power of the charging pile; calculating a second charging efficiency based on the battery charge and output power of the charging pile; and multiplying the first charging efficiency and the second charging efficiency to obtain the real-time charging efficiency of the charging pile under test.

3. 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 method of claim 2.

4. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method of claim 2.

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