Automobile battery performance evaluation method and built-in working condition management module of direct current charging pile

Abstract

The invention relates to the technical field of electric automobiles, in particular to an automobile battery performance evaluation method and a direct current charging pile built-in working condition management module.The method comprises the steps that in the detection time period, the required current of a vehicle connected with a working condition management module is reset through the working condition management module arranged in the direct current charging pile; the vehicle is charged under the detection working condition; collecting detection data of the vehicle under the detection working condition through a working condition management module; and calculating a battery performance index based on the detection data, the battery performance index being used for evaluating the performance of the battery. Thus, the working condition management module arranged in the direct current charging pile is used for setting the working condition requirement meeting the battery performance detection, the detection data are obtained to calculate comprehensive battery performance indexes, and therefore comprehensive and efficient evaluation of the vehicle-mounted battery performance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to a vehicle battery performance evaluation method and a built-in operating condition management module for a DC charging pile. Background Art

[0002] DC charging piles are an important way to charge electric vehicles and are widely used. Among them, DC working conditions are currently an effective method for quickly evaluating the performance indicators of on-board batteries. However, the existing DC charging pile charging control process can only simply implement the standard charging process based on the national standard. Its control target is to achieve the most efficient charging process based on the demand current of the on-board battery and the supply current of the charging pile. On this basis, it is impossible to fully evaluate the battery performance.

[0003] In the prior art, the performance evaluation of vehicle batteries may include battery capacity evaluation and battery consistency evaluation. In the battery capacity evaluation, a relatively fixed charging rate and battery capacity range are required; in the battery consistency evaluation, a controllable pulse excitation current is required. This process cannot be achieved in the traditional DC charging process, resulting in the inability to fully evaluate the DC charging process. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a vehicle battery performance evaluation method and a DC charging pile built-in working condition management module to overcome the current problem that it is impossible to fully evaluate the vehicle battery during the vehicle DC charging process.

[0005] To achieve the above objectives, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for evaluating the performance of an automobile battery, comprising:

[0007] During the detection period, the operating condition management module disposed in the DC charging pile resets the demand current of the vehicle connected thereto, so that the vehicle is charged under the detection operating condition;

[0008] Collecting detection data of the vehicle under detection conditions through the working condition management module;

[0009] A battery performance index is calculated based on the detection data, and the battery performance index is used to evaluate the performance of the battery.

[0010] Further, in the embodiment of the present application, the detection period includes in sequence: a detection start section, a low SOC end rising pulse section, a first normal charging section, a rate current charging section, a second normal charging section, a high SOC end falling pulse section and a third normal charging section;

[0011] The detection operating condition includes the low SOC end rising pulse section, the rate current charging section and the high SOC end falling pulse section.

[0012] Further, in the embodiment of the present application, in the detection start section, the demand current of the vehicle is reset by the working condition management module so that the vehicle is charged with the initial current;

[0013] In the rising pulse section at the low SOC end, releasing the control of the demand current of the vehicle by the working condition management module, so that the charging current of the vehicle reaches a first current after a first preset time;

[0014] In the first normal charging section, the vehicle is charged with the first current;

[0015] In the rate current charging section, resetting the demand current of the vehicle through the working condition management module so that the vehicle is charged with the target current within a second preset time period;

[0016] In the second normal charging section, releasing the control of the demand current of the vehicle by the operating condition management module, so that the vehicle is charged with the first current;

[0017] In the high SOC end falling pulse section, resetting the vehicle's demand current through the working condition management module so that the charging current of the vehicle reaches the second current after a third preset time;

[0018] In the third normal charging section, releasing the control of the demand current of the vehicle by the working condition management module, so that the vehicle is charged with a normal current;

[0019] The initial current is smaller than the second current, the second current is smaller than the target current, and the target current is smaller than the first current.

[0020] Further, in the embodiment of the present application, when the SOC of the vehicle is greater than 10% and less than 30%, the low SOC end rising pulse section is triggered to enter;

[0021] When the vehicle SOC is greater than 30% and less than 70%, triggering to enter the rate current charging section;

[0022] When the vehicle SOC is greater than 70%, entering the high SOC end falling pulse section is triggered.

[0023] Further, in the embodiment of the present application, the collecting the detection data of the vehicle under the detection condition by the working condition management module includes:

[0024] In the low SOC end rising pulse section, the working condition management module collects the first detection data of the vehicle under the detection working condition at a preset frequency, wherein the first detection data includes: total voltage, total current, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage;

[0025] In the rate current charging section, the operating condition management module collects second detection data of the vehicle under the detection operating condition at a preset frequency, wherein the second detection data includes: total current and SOC data;

[0026] In the high SOC end falling pulse section, the operating condition management module collects third detection data of the vehicle under the detection condition at a preset frequency, wherein the third detection data includes: total voltage, total current data, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage.

[0027] Further, in an embodiment of the present application, the calculating of the battery performance index based on the detection data includes:

[0028] Based on the first detection data, calculating the average value of the detected DC internal resistance, the DC internal resistance value at the voltage extreme point, the cell voltage extreme value, and the extreme temperature for the rising pulse section at the low SOC end;

[0029] Based on the second detection data, calculating the detection charging capacity for the rate current charging section;

[0030] Based on the third detection data, the detected DC internal resistance average value, the DC internal resistance value at the voltage extreme point, the cell voltage extreme value, and the extreme temperature for the falling pulse section at the high SOC end are calculated.

[0031] Furthermore, in the embodiment of the present application, it also includes:

[0032] During the non-detection period, the normal demand current of the vehicle is transmitted through the operating condition management module so that the vehicle can be charged under normal operating conditions.

[0033] In a second aspect, the present application provides a built-in operating condition management module for a DC charging pile, characterized in that it is used to execute at least part of the above-mentioned battery performance evaluation method.

[0034] The present invention relates to the technical field of electric vehicles, and in particular to a method for evaluating the performance of automobile batteries and a working condition management module built into a DC charging pile, the method comprising: during a detection period, resetting the demand current of a vehicle connected thereto by means of a working condition management module arranged in the DC charging pile, so that the vehicle is charged under a detection working condition; collecting detection data of the vehicle under the detection working condition by means of the working condition management module; and calculating a battery performance index based on the detection data, wherein the battery performance index is used to evaluate the performance of the battery. In this way, the working condition management module arranged in the DC charging pile is used to set working condition requirements that meet the battery performance detection, and detection data is obtained to calculate comprehensive battery performance indexes, thereby realizing a comprehensive and efficient evaluation of the performance of the vehicle-mounted battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 is a flow chart of a method for evaluating automobile battery performance provided by an embodiment of the present invention;

[0037] Figure 2 Schematic diagram of the application of the built-in working condition management module of the DC charging pile provided by the embodiment of the present invention;

[0038] Figure 3 It is a charging process curve diagram based on working condition management in the automobile battery performance evaluation method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0040] Figure 1 is a flow chart of the automotive battery performance evaluation method provided by an embodiment of the present invention, please refer to Figure 1 , this embodiment may include the following steps:

[0041] S101. During a detection period, a working condition management module disposed in a DC charging pile resets a demand current of a vehicle connected thereto, so that the vehicle is charged under a detection working condition.

[0042] Specifically, in the present application, the operating condition management module can be built into a charging device such as a DC charging pile, connected to a charging control module in the DC charging pile, and can also be connected to the vehicle through a charging gun, specifically connected to the vehicle's BMS, so that the vehicle's demand current information can be reset so that the vehicle can be charged under detection conditions when it is necessary to detect and evaluate its battery status during the charging process.

[0043] S102. Collecting detection data of the vehicle under detection conditions through a working condition management module.

[0044] S103: Calculate battery performance index based on the detection data, wherein the battery performance index is used to evaluate the performance of the battery.

[0045] The automotive battery performance evaluation method provided by the present application is that during the detection period, the demand current of the vehicle connected thereto is reset by the working condition management module set in the DC charging pile, so that the vehicle is charged under the detection working condition; the detection data of the vehicle under the detection working condition is collected by the working condition management module; the battery performance index is calculated based on the detection data, wherein the battery performance index is used to evaluate the performance of the battery. In this way, the working condition management module set in the DC charging pile is used to set the working condition requirements that meet the battery performance detection, and the detection data is obtained to calculate the comprehensive battery performance index, thereby realizing a comprehensive and efficient evaluation of the vehicle battery performance.

[0046] Figure 2 is an application schematic diagram of a built-in operating condition management module for a DC charging pile provided in an embodiment of the present invention, which is used to execute the automobile battery performance evaluation method provided in this application, such as Figure 2 As shown, the operating condition management module can be connected to the charging device such as the charging control module in the DC charging pile through the CAN bus, and connected to the vehicle BMS through the charging gun, following the standard CAN bus protocol, thereby ensuring smooth data transmission between the charging control module, the operating condition management module and the vehicle BMS.

[0047] In practical applications, the functions of the working condition management module include realizing the detection of working conditions and collecting detection data. And the working condition management module may include a control unit, a data processing unit and a user interaction unit. Among them, the control unit and the data processing unit are used to reset the vehicle's demand current and transmit data. The user interaction unit can be a mobile phone APP application, which connects the working condition management module and the cloud platform through communication methods such as 4G.

[0048] On this basis, when an electric vehicle is charged using a DC charging pile, during the non-detection period, the working condition management module transmits the vehicle demand current, and the vehicle is charged normally, that is, it is charged with a normal current without being controlled by the working condition management module. During the detection period, the working condition management module resets the vehicle demand current, and the vehicle is charged according to the detection working condition, so as to use the working condition management module to set the working condition requirements that meet the battery performance test, and realize efficient evaluation of the vehicle battery performance indicators.

[0049] Furthermore, in the present application, the detection period includes in sequence: a detection start section, a rising pulse section at the low SOC end, a first normal charging section, a rate current charging section, a second normal charging section, a high SOC end falling pulse section and a third normal charging section; wherein the detection operating conditions include a rising pulse section at the low SOC end, a rate current charging section, i.e., a controllable current rate charging section in the middle SOC range, and a falling pulse section at the high SOC end.

[0050] Figure 3 is a charging process curve diagram based on working condition management in the automobile battery performance evaluation method provided by an embodiment of the present invention, that is, the charging process of the electric vehicle including the detection process under the management of the working condition management module, such as Figure 3 As shown, the specific process is:

[0051] In the detection start section, the vehicle's demand current is reset by the working condition management module so that the vehicle is charged with the initial current. Then, in the rising pulse section at the low SOC end, the working condition management module releases the control of the vehicle's demand current so that the vehicle's charging current reaches the first current after the first preset time; then in the first normal charging section, the vehicle is charged with the first current; in the rate current charging section, the vehicle's demand current is reset by the working condition management module so that the vehicle is charged with the target current within the second preset time; in the second normal charging section, the working condition management module releases the control of the vehicle's demand current so that the vehicle is charged with the first current; in the falling pulse section at the high SOC end, the vehicle's demand current is reset by the working condition management module so that the vehicle's charging current reaches the second current after the third preset time; in the third normal charging section, the working condition management module releases the control of the vehicle's demand current so that the vehicle is charged with the normal current; wherein the initial current is less than the second current, the second current is less than the target current, and the target current is less than the first current. And after the falling pulse section at the high SOC end, before the third normal charging section, the current also includes a target current maintained for a period of time, and gradually reaching the normal current from the target current.

[0052] Among them, when the vehicle SOC is greater than 10% and less than 30%, it is triggered to enter the low SOC end rising pulse section; when the vehicle SOC is greater than 30% and less than 70%, it is triggered to enter the rate current charging section; when the vehicle SOC is greater than 70%, it is triggered to enter the high SOC end falling pulse section.

[0053] That is, in the detection starting section, the vehicle is charged at the initial current I0. When 10%<SOC<30%, the working condition management module releases the control of the vehicle demand current, and then enters the low SOC end rising pulse section. After a time Δt1, the vehicle is charged at the normal charging current and enters the normal charging section. In the section of 30%<SOC<70% (in actual application, it can be set to 30%<SOC<80% according to actual conditions), the working condition management module resets the vehicle demand current again, and the vehicle charges at the target current I C The charging lasts for Δt2. The working condition management module releases the control of the vehicle demand current, and the vehicle is charged at the normal charging current and enters the normal charging section. When the SOC is charged to 70%, the working condition management module resets the vehicle demand to I2. At this time, it enters the high SOC end falling pulse section. After the duration of Δt3, the vehicle is charged at the current I2. Subsequently, the working condition management module releases the control of the vehicle demand current, and the vehicle is charged at the normal charging current. Among them, the above detection working condition control conditions are shown in the following table:

[0054] Test working condition control condition table

[0055]

[0056] On this basis, the data in the above-mentioned detection conditions are collected through the working condition management module to obtain the detection data, and then the battery performance index is calculated to evaluate the performance of the electric vehicle battery. Including: in the rising pulse section at the low SOC end, the first detection data of the vehicle under the detection condition is collected at a preset frequency through the working condition management module, wherein the first detection data includes: total voltage, total current, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage; in the rate current charging section, the second detection data of the vehicle under the detection condition is collected at a preset frequency through the working condition management module, wherein the second detection data includes: total current and SOC data; in the falling pulse section at the high SOC end, the third detection data of the vehicle under the detection condition is collected at a preset frequency through the working condition management module, wherein the third detection data includes: total voltage, total current data, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage.

[0057] Based on the first detection data, the average value of the detected DC internal resistance, the DC internal resistance value at the voltage extreme point, the single voltage extreme value, and the extreme temperature for the rising pulse section at the low SOC end are calculated; based on the second detection data, the detection charging capacity for the rate current charging section is calculated; based on the third detection data, the average value of the detected DC internal resistance, the DC internal resistance value at the voltage extreme point, the single voltage extreme value, and the extreme temperature for the falling pulse section at the high SOC end are calculated. The following is a detailed introduction to each indicator of each stage section:

[0058] For the rising pulse section at the low SOC end, performance indicators including the average DC internal resistance, the DC internal resistance value at the voltage extreme point, the single cell voltage extreme (pulse polarization), and the extreme temperature (pulse polarization) are calculated.

[0059] Specifically, the calculation of the mean DC internal resistance and the acquisition of corresponding detection data include: the operating condition management module obtains the total voltage and total current data at a frequency of not less than 250ms, and after data processing such as interpolation fitting, calculates according to Ohm's law. The calculation of the DC internal resistance value at the voltage extreme point and the acquisition of corresponding detection data include: the operating condition management module obtains the extreme point voltage at a frequency of not less than 250ms, and after data processing such as interpolation fitting, calculates according to Ohm's law. The calculation of the single cell voltage extreme value (pulse polarization) and the acquisition of corresponding detection data include: the operating condition management module obtains the extreme point voltage in the polarization stage at a frequency of not less than 250ms, and calculates the voltage extreme value change during the rising pulse process. The calculation of the extreme temperature (pulse polarization) and the acquisition of corresponding detection data include: the operating condition management module obtains the extreme temperature in the polarization stage at a frequency of not less than 250ms, and calculates the temperature extreme value change during the rising pulse process.

[0060] For the controllable current rate charging section in the middle SOC range, the charging capacity is calculated. The calculation of the charging capacity and the acquisition of the corresponding detection data include: the operating condition management module obtains the total current and SOC data at a frequency of not less than 250ms, and after data processing such as interpolation fitting, the battery charging capacity is calculated based on the charged power and SOC change.

[0061] For the falling pulse section at the high SOC end, the average DC internal resistance, the DC internal resistance value at the voltage extreme point, the single cell voltage extreme (pulse polarization), and the extreme temperature (pulse polarization) are calculated.

[0062] Specifically, the calculation of the mean value of the DC internal resistance and the acquisition of the corresponding detection data include: the operating condition management module obtains the total voltage and total current data at a frequency of not less than 250ms, and after data processing such as interpolation fitting, calculates according to Ohm's law. The calculation of the DC internal resistance value at the voltage extreme point and the acquisition of the corresponding detection data include: the operating condition management module obtains the extreme point voltage at a frequency of not less than 250ms, and after data processing such as interpolation fitting, calculates according to Ohm's law. The calculation of the single cell voltage extreme value (pulse polarization) and the acquisition of the corresponding detection data include: the operating condition management module obtains the extreme point voltage in the polarization stage at a frequency of not less than 250ms, and calculates the extreme change of voltage in the falling pulse process. The calculation of the extreme temperature (pulse polarization) and the acquisition of the corresponding detection data include: the operating condition management module obtains the extreme temperature in the polarization stage at a frequency of not less than 250ms, and calculates the extreme change of temperature in the falling pulse process.

[0063] The automobile battery performance evaluation method provided in the present application can automatically set and execute specific detection conditions during the charging process through the built-in working condition management module in the DC charging pile, thereby realizing efficient evaluation of the vehicle battery performance indicators; and the working condition management module transparently transmits the vehicle demand current during the non-detection period to ensure normal charging of the vehicle, and resets the vehicle demand current according to the set detection conditions during the detection period, thereby realizing accurate evaluation of the battery performance indicators, which not only meets the normal charging needs of the vehicle, but also takes into account the requirements of battery performance testing.

[0064] Based on the same inventive concept, the present application also provides a built-in operating condition management module for a DC charging pile. The specific manner in which each module in the module performs operations has been described in detail in the embodiment of the automobile battery performance evaluation method, and will not be elaborated here.

[0065] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0066] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0067] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0070] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0072] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0073] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for evaluating automobile battery performance, characterized in that: include: During the detection period, the operating condition management module disposed in the DC charging pile resets the demand current of the vehicle connected thereto, so that the vehicle is charged under the detection operating condition; Collecting detection data of the vehicle under detection conditions through the working condition management module; A battery performance index is calculated based on the detection data, and the battery performance index is used to evaluate the performance of the battery.

2. The method for evaluating automobile battery performance according to claim 1, characterized in that: The detection period includes in sequence: a detection start section, a low SOC end rising pulse section, a first normal charging section, a rate current charging section, a second normal charging section, a high SOC end falling pulse section and a third normal charging section; The detection operating condition includes the low SOC end rising pulse section, the rate current charging section and the high SOC end falling pulse section.

3. The method for evaluating automobile battery performance according to claim 2, characterized in that: In the detection start section, resetting the vehicle's demand current through the operating condition management module so that the vehicle is charged with an initial current; In the rising pulse section at the low SOC end, releasing the control of the demand current of the vehicle by the working condition management module, so that the charging current of the vehicle reaches a first current after a first preset time; In the first normal charging section, the vehicle is charged with the first current; In the rate current charging section, resetting the demand current of the vehicle through the working condition management module so that the vehicle is charged with the target current within a second preset time period; In the second normal charging section, releasing the control of the demand current of the vehicle by the operating condition management module, so that the vehicle is charged with the first current; In the high SOC end falling pulse section, resetting the vehicle's demand current through the working condition management module so that the vehicle's charging current reaches a second current after a third preset time; In the third normal charging section, releasing the control of the demand current of the vehicle by the working condition management module, so that the vehicle is charged with a normal current; The initial current is smaller than the second current, the second current is smaller than the target current, and the target current is smaller than the first current.

4. The method for evaluating automobile battery performance according to claim 3, characterized in that: When the vehicle SOC is greater than 10% and less than 30%, triggering to enter the low SOC end rising pulse section; When the SOC of the vehicle is greater than 30% and less than 70%, triggering to enter the rate current charging section; When the vehicle SOC is greater than 70%, entering the high SOC end falling pulse section is triggered.

5. The method for evaluating automobile battery performance according to claim 2, characterized in that: The collecting the detection data of the vehicle under the detection condition by the working condition management module includes: In the low SOC end rising pulse section, the working condition management module collects the first detection data of the vehicle under the detection working condition at a preset frequency, wherein the first detection data includes: total voltage, total current, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage; In the rate current charging section, the operating condition management module collects second detection data of the vehicle under the detection operating condition at a preset frequency, wherein the second detection data includes: total current and SOC data; In the high SOC end falling pulse section, the operating condition management module collects third detection data of the vehicle under the detection condition at a preset frequency, wherein the third detection data includes: total voltage, total current data, extreme point voltage, extreme point voltage in the polarization stage, and extreme temperature in the polarization stage.

6. The automotive battery performance evaluation method according to claim 5, characterized in that: The calculating the battery performance index based on the detection data includes: Based on the first detection data, calculating the average value of the detected DC internal resistance, the DC internal resistance value at the voltage extreme point, the cell voltage extreme value, and the extreme temperature for the rising pulse section at the low SOC end; Based on the second detection data, calculating the detection charging capacity for the rate current charging section; Based on the third detection data, the detected DC internal resistance average value, the DC internal resistance value at the voltage extreme point, the cell voltage extreme value, and the extreme temperature for the falling pulse section at the high SOC end are calculated.

7. The automotive battery performance evaluation method according to claim 1, characterized in that: Also includes: During the non-detection period, the normal demand current of the vehicle is transmitted through the operating condition management module so that the vehicle can be charged under normal operating conditions.

8. A built-in working condition management module for a DC charging pile, characterized in that: Used to perform at least part of the battery performance evaluation method according to any one of claims 1 to 7.

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