DC charging data analysis method, device and system

Abstract

The embodiment of the invention provides a direct current charging data analysis method, device and system, applied to a direct current charging data analysis device, and the method comprises the steps: obtaining a first auxiliary source electrical parameter before charging; if the first auxiliary source electrical parameter meets a preset charging connection condition, determining charging start time, and acquiring charging process data sampled by a sampling unit in a charging process; and if the second auxiliary source electrical parameter meets a preset charging disconnection condition or a communication message is not received within a preset time period, determining charging ending time, and performing analysis and diagnosis according to the charging process data before the charging ending time and the communication message to obtain a direct current analysis and diagnosis result in the charging process. According to the method and the device, data which do not conform to the preset standard are filtered, so that the DC analysis and diagnosis result in the charging process is ensured to conform to the international standard, the fault condition corresponding to the DC analysis and diagnosis result is positioned based on the DC analysis and diagnosis result, and response measures and fault reasons of the fault condition are given.

Description

Technical Field

[0001] The present application relates to the field of charging technology, and in particular to a direct current charging data analysis method, a direct current charging data analysis device and a direct current charging data analysis system. Background Art

[0002] With the rapid development of the electric vehicle industry, the demand for charging piles has gradually increased. However, many problems have also arisen, especially the problems that arise during the charging and discharging process of charging piles for electric vehicles.

[0003] At present, in order to solve many problems that arise during the charging and discharging process of electric vehicles with charging piles, most of the methods used are to detect the voltage or current status in the charging piles.

[0004] However, this method does not take into account the problems that exist in the charging and discharging process of electric vehicles, has certain limitations, and only detects the voltage or current status of the charging pile, and cannot guarantee that the diagnosed problems meet international standards. Summary of the invention

[0005] In view of this, the purpose of this application is to provide a DC charging data analysis method, a DC charging data analysis device and a DC charging data analysis system. The data during the charging process can be analyzed to filter out data that does not meet international standards, thereby ensuring that the DC analysis and diagnosis results obtained during the charging process meet international standards, and based on the DC analysis and diagnosis results, locate the fault conditions corresponding to the DC analysis and diagnosis results, and provide countermeasures and fault causes for the fault conditions through local historical abnormal records or cloud databases.

[0006] In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0007] In a first aspect, an embodiment of the present application provides a DC charging data analysis method, which is applied to a DC charging data analysis device, and the method includes:

[0008] Acquiring electrical parameters of the first auxiliary source before charging;

[0009] If the first auxiliary source electrical parameter meets the preset charging connection condition, determine the charging start time, and obtain the charging process data sampled by the sampling unit during the charging process, wherein the charging process data includes: power electrical parameters, second auxiliary source electrical parameters, connection confirmation electrical parameters and communication messages;

[0010] If the electrical parameters of the second auxiliary source meet the preset charging disconnection conditions, or no communication message is received within a preset time period, the charging end time is determined, and analysis and diagnosis are performed based on the charging process data before the charging end time and the communication message to obtain a DC analysis and diagnosis result during the charging process.

[0011] Optionally, performing analysis and diagnosis according to the charging process data and the communication message before the charging is completed to obtain a DC analysis and diagnosis result during the charging process includes:

[0012] Parsing data content of a first communication message in the communication messages to obtain a transmission charging parameter of the charging process;

[0013] An analysis and diagnosis is performed based on the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process.

[0014] Optionally, the transmission charging parameters include at least: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging device, and the maximum allowable temperature parameters of the energy storage battery in the electric vehicle;

[0015] The performing analysis and diagnosis according to the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process includes:

[0016] Determining whether the transmitted charging parameters match corresponding parameters in the charging process data;

[0017] If they match, generating first DC charging analysis indication information to indicate that the charging process is a normal charging process;

[0018] If there is no match, second DC analysis indication information is generated to indicate that the charging process is an abnormal charging process, and the DC analysis diagnosis result at least includes: the first DC charging analysis indication information or the second DC analysis indication information.

[0019] Optionally, if the DC analysis diagnosis result includes: the second DC analysis indication information, the DC analysis diagnosis result also includes: a charging shutdown reason; the DC analysis diagnosis result obtained by analyzing and diagnosing according to the charging process data and the transmitted charging parameters during the charging process also includes:

[0020] The data content of the second communication message in the communication message is parsed to obtain the charging shutdown reason of the charging process.

[0021] Optionally, the performing analysis and diagnosis according to the power electrical parameter, the auxiliary source electrical parameter, the connection confirmation electrical parameter and the communication message to obtain a DC analysis and diagnosis result during the charging process further includes:

[0022] Performing data statistics on various communication messages to obtain sending cycle information and message quantity information of various communication messages during the charging process;

[0023] The communication compliance diagnostic information of the charging process is generated according to the sending cycle information of the various communication messages and the message quantity information, and the DC analysis diagnostic result also includes: the communication compliance diagnostic information.

[0024] Optionally, the charging process data further includes: a socket temperature of a DC socket and a gun tip temperature of a DC gun tip; and the performing analysis and diagnosis according to the charging process data and the communication message to obtain a DC analysis and diagnosis result during the charging process further includes:

[0025] According to the power electrical parameter, the auxiliary source electrical parameter, and the connection confirmation electrical parameter, respectively record the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, and the minimum connection confirmation electrical parameter during the charging process;

[0026] According to the socket temperature of the DC socket and the gun tip temperature of the DC gun tip, the maximum socket temperature, the minimum socket temperature, the maximum gun tip temperature and the minimum gun tip temperature are recorded as gun tip and gun seat temperature information;

[0027] Charging statistical information of the charging process is generated according to the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, the minimum connection confirmation electrical parameter and the gun head and gun seat temperature information; the DC analysis diagnosis result includes: the charging statistical information.

[0028] Optionally, the transmission charging parameter further includes: a state of charge parameter of the energy storage battery at the end of charging;

[0029] The performing analysis and diagnosis according to the charging process data and the communication message to obtain a DC analysis and diagnosis result during the charging process further includes:

[0030] Determining charging time information of the charging process according to the charging start time and the charging end time;

[0031] The charging profile information of the charging process is generated according to the charging time information, the information of the DC charging device and the charge state parameter, and the DC analysis diagnosis result also includes: the charging profile information.

[0032] In a second aspect, an embodiment of the present application provides a DC charging data analysis device, the device comprising: a DC socket, a DC gun head, a processing unit, a sampling unit, a communication interface, and a plurality of electrical parameter sensors;

[0033] The DC socket is used to connect a DC charging device, and the DC gun head is used to connect an electric vehicle. The DC power pins of the DC socket are connected to the DC power pins of the DC gun head through corresponding power lines; the communication pin of the DC socket is connected to the communication pin of the DC gun head through a first signal line, the auxiliary source pin of the DC socket is connected to the auxiliary source pin of the DC gun head through a second signal line, and the connection confirmation pin of the DC socket is connected to the connection confirmation pin of the DC gun head through a third signal line;

[0034] Wherein, corresponding electrical parameter sensors are respectively arranged on the power line, the second signal line and the third signal line, and the plurality of electrical parameter sensors are all connected to the sampling unit, and the sampling unit is connected to the processing unit to respectively sample the power electrical parameter on the power line, the auxiliary source electrical parameter on the second signal line and the connection confirmation electrical parameter on the third signal line;

[0035] The first signal line is connected to the processing unit through the communication interface to sample the communication message transmitted on the first signal line;

[0036] The processing unit is used to execute the DC charging data analysis method described in any one of the first aspects above.

[0037] Optionally, the DC charging data analysis device also includes: multiple temperature sensors, at least one temperature sensor is arranged on the DC socket, and at least one temperature sensor is also arranged on the DC gun head, and the multiple temperature sensors are connected to the sampling unit to sample the socket temperature of the DC socket and the gun tip temperature of the DC gun head.

[0038] In a third aspect, an embodiment of the present application provides a DC charging data analysis system, including: a DC charging data analysis device, a DC charging device, and an electric vehicle according to any one of the second aspects above;

[0039] Wherein, the charging gun head of the DC charging device is connected to the DC socket of the DC charging data analysis device; the DC gun head of the DC charging data analysis device is connected to the charging socket of the electric vehicle;

[0040] The DC charging data analysis device is used to execute the DC charging data analysis method described in any one of the first aspects above.

[0041] Compared with the prior art, the DC charging data analysis method, DC charging data analysis device and DC charging data analysis system provided in the embodiments of the present application have the following beneficial effects:

[0042] The embodiment of the present application proposes a DC charging data analysis method, device and system, which are applied to a DC charging data analysis device. The method includes: first obtaining the first auxiliary source electrical parameter before charging; if the first auxiliary source electrical parameter meets the preset charging connection condition, then determining the charging start time, and obtaining the charging process data sampled by the sampling unit during the charging process, wherein the charging process data includes: power electrical parameter, second auxiliary source electrical parameter, connection confirmation electrical parameter and communication message; if the second auxiliary source electrical parameter meets the preset charging disconnection condition, or the communication message is not received within the preset time period, then determining the charging end time, and analyzing and diagnosing the charging process data and the communication message before the charging end time, and obtaining the DC analysis diagnosis result during the charging process. That is, the present application obtains the DC analysis diagnosis result during the charging process by collecting and analyzing the DC charging process data, so as to locate the fault situation corresponding to the DC analysis diagnosis result according to the DC analysis diagnosis result, and provide the countermeasures for the fault situation through the local historical records or the cloud database. Therefore, the DC charging data analysis method provided in this application can be used by car companies or charging pile companies in the R&D stage or road testing to obtain charging data of electric vehicles and DC charging piles and DC analysis and diagnosis results without destroying the existing charging environment, and finally generate a DC analysis and diagnosis report for reference by R&D or after-sales personnel to help them quickly locate faults and solve problems. Improve the stability, efficiency, safety and reliability of the DC charging data analysis system during the charging and discharging operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 A schematic diagram of the structure of a DC charging data analysis system provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of a DC charging data analysis device provided in an embodiment of the present application Figure 1 ;

[0046] Figure 3 A schematic diagram of a DC charging data analysis device provided in an embodiment of the present application Figure 2 ;

[0047] Figure 4 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 1 ;

[0048] Figure 5 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 2 ;

[0049] Figure 6 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 3 ;

[0050] Figure 7 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 4 ;

[0051] Figure 8 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 5 ;

[0052] Fig. 9 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 6 ;

[0053] Fig.10 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 7 ;

[0054] Fig.11 A schematic diagram of the structure of a DC charging data analysis device provided in an embodiment of the present application;

[0055] Fig.12 A schematic diagram of the structure of a processing unit provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. The described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0057] In order to clearly describe a DC charging data analysis method, a DC charging data analysis device and a DC charging data analysis system provided in an embodiment of the present application, the DC charging data analysis system is first described in detail in conjunction with the accompanying drawings. Figure 1 This is a schematic diagram of the structure of a DC charging data analysis system provided in an embodiment of the present application. Figure 1 As shown, the DC charging data analysis 200 may include: a DC charging data analysis device 100 , a DC charging device 210 and an electric vehicle 220 .

[0058] Among them, the charging gun head of the DC charging device 210 is connected to the DC socket of the DC charging data analysis device 100; the DC gun head of the DC charging data analysis device 100 is connected to the charging socket (such as an EV socket) of the electric vehicle 220; and the DC charging device 210 is used to charge and discharge the electric vehicle 220 through the DC charging data analysis device 100.

[0059] The DC charging data analysis device 100 is used to execute the DC charging data analysis method.

[0060] The DC charging device 210 is used to provide a DC power supply, and can output electric energy through the charging gun head of the DC charging device 210. The DC charging device 210 can be selected according to actual conditions, for example, the DC charging device 210 can be selected as a DC charging pile. The electric vehicle 220 can also be selected according to actual conditions, which is not limited here.

[0061] It should be noted that the DC charging data analysis device 100 can be an independent DC charging device 210 and a device of the electric vehicle 220; the DC charging data analysis device 100 can also be a device integrated on the DC charging device 210, and there is no limitation here.

[0062] The DC charging data analysis system provided by the present application can be composed of a DC charging data analysis device, a DC charging device and an electric vehicle; wherein the charging gun head of the DC charging device is connected to the DC socket of the DC charging data analysis device; the DC gun head of the DC charging data analysis device is connected to the charging socket of the electric vehicle; and the DC charging data analysis device is used to execute the DC charging data analysis method. Therefore, the DC charging device in the present application provides electric energy, which is transmitted to the electric vehicle through the DC charging data analysis device to charge and discharge the electric vehicle, thereby ensuring the stability, efficiency, safety and reliability of the DC charging data analysis system during the charging and discharging operation process.

[0063] Furthermore, the present application also provides a schematic diagram of a DC charging data analysis device 100 . Figure 2 A schematic diagram of a DC charging data analysis device provided in an embodiment of the present application Figure 1 .like Figure 2 As shown, the DC charging data analysis device 100 may include: a DC socket 110 , a DC gun head 120 , a processing unit 130 , a sampling unit 140 , a communication interface 150 and a plurality of electrical parameter sensors 160 .

[0064] Among them, the DC socket 110 is used to connect the DC charging device 210, the DC gun head 120 is used to connect the electric vehicle 220, the DC power pins (such as DC+ / DC- / PE) of the DC socket 110 are respectively connected to the DC power pins of the DC gun head 120 through corresponding power lines for transmitting power electrical signals; the communication pins (such as S+ / S-) of the DC socket 110 are connected to the communication pins of the DC gun head 120 through the first signal line for transmitting communication signals; the auxiliary source pins (such as A+ / A-) of the DC socket 110 are connected to the auxiliary source pins of the DC gun head 120 through the second signal line for transmitting auxiliary source electrical signals; the connection confirmation pins (such as CC1 / CC2) of the DC socket 110 are connected to the connection confirmation pins of the DC gun head 120 through the third signal line for transmitting connection confirmation electrical signals.

[0065] Among them, corresponding electrical parameter sensors 160 are respectively arranged on the power line, the second signal line and the third signal line, and the plurality of electrical parameter sensors 160 are all connected to the sampling unit 140 for collecting electrical signals on the power line, the second signal line and the third signal line; the sampling unit 140 is connected to the processing unit 130 to respectively sample the power electrical parameters on the power line, the auxiliary source electrical parameters on the second signal line and the connection confirmation electrical parameters on the third signal line, and based on these data, control the charging and discharging operation of the DC charging device 210 on the electric vehicle 220. The first signal line is connected to the processing unit 130 through the communication interface 150 to sample the communication message transmitted on the first signal line.

[0066] Among them, the processing unit 130 is used to execute the DC charging data analysis method. The processing unit 130 can be selected according to actual conditions, for example, the processing unit 130 can be selected as an MCU (Microcontroller Unit). The sampling unit 140 can be selected according to actual conditions, for example, the sampling unit 140 can be selected as a high-speed sampling chip. The communication interface 150 can be selected according to actual conditions, for example, the communication interface 150 can be selected as a CAN (Controller Area Network) communication interface. Multiple electrical parameter sensors 160 can also be selected according to actual conditions, for example, the electrical parameter sensor 160 can be a voltage sensor or a current sensor.

[0067] It should be noted that the sampling unit 140 is divided into a high-voltage acquisition module and a low-voltage acquisition module, wherein the high-voltage acquisition module is used to collect the DC charging voltage signals DC+ and DC- output by the DC charging device 210; the low-voltage acquisition module is used to collect low-voltage signals such as the DC charging current, CC1, CC2 and other voltages output by the DC charging device 210.

[0068] In one possible implementation, the DC charging data analysis device 100 is a dual-core Cortex-A9 processor plus FPGA logic design based on the ZYNQ7010 platform, which realizes the synchronous acquisition of multiple A / D conversion signals by simulating multiple SPI (Serial Peripheral Interface) controller interfaces, and performs storage, analysis and external communication. The DC charging data analysis device 100 connects the power and signal acquisition circuits to the charging and discharging circuit to obtain the voltage, current, CAN communication signal, etc. of the charging and discharging circuit, and outputs the diagnostic results of this charging to the user at the end of charging by analyzing and recording the data during charging.

[0069] The DC charging data analysis device provided in the present application can be composed of a DC socket, a DC gun head, a processing unit, a sampling unit, a communication interface and multiple electrical parameter sensors; the DC socket is used to connect the DC charging device, the DC gun head is used to connect the electric vehicle, and the DC power pins of the DC socket are connected to the DC power pins of the DC gun head through corresponding power lines; the communication pin of the DC socket is connected to the communication pin of the DC gun head through a first signal line, the auxiliary source pin of the DC socket is connected to the auxiliary source pin of the DC gun head through a second signal line, and the connection confirmation pin of the DC socket is connected to the connection confirmation pin of the DC gun head through a third signal line; wherein corresponding electrical parameter sensors are respectively arranged on the power line, the second signal line and the third signal line, and the multiple electrical parameter sensors are all connected to the sampling unit, and the sampling unit is connected to the processing unit to respectively sample the power electrical parameters on the power line, the auxiliary source electrical parameters on the second signal line and the connection confirmation electrical parameters on the third signal line; the first signal line is connected to the processing unit through the communication interface to sample the communication message transmitted on the first signal line; the processing unit is used to execute the DC charging data analysis method. Therefore, the present application can collect current signals, voltage signals, etc. through the sampling unit for analysis and recording, and output the diagnostic results of this charging to the user at the end of charging, thereby improving the reliability of the DC charging data analysis equipment.

[0070] Optionally, the present application also provides a schematic diagram of a DC charging data analysis device 100 . Figure 3 A schematic diagram of a DC charging data analysis device provided in an embodiment of the present application Figure 2 .like Figure 3As shown, the DC charging data analysis device 100 may further include: a plurality of temperature sensors T.

[0071] Among them, at least one temperature sensor T is arranged on the DC socket 110 , and at least one temperature sensor T is also arranged on the DC gun head 120 . The multiple temperature sensors T are connected to the sampling unit 140 to sample the socket temperature of the DC socket 110 and the gun head temperature of the DC gun head 120 .

[0072] For example, Figure 3 As shown, four temperature sensors T are arranged in the DC charging data analysis device 100, two temperature sensors T are arranged on the DC+ / DC- line of the DC gun head 120, such as temperature sensor T1 and temperature sensor T2; two temperature sensors T are arranged on the DC+ / DC- line of the DC socket 110, such as temperature sensor T3 and temperature sensor T4; all temperature sampling signals are input into the sampling unit 140 through the analog multi-channel SPI controller interface, and the sampling unit 140 outputs the temperature sampling signal to the processing unit 130, and the temperatures of the power terminals at the DC gun head and the DC gun base are obtained respectively, so as to realize the temperature monitoring function of the power terminals at the DC gun head and the DC gun base.

[0073] The DC charging data analysis device provided by the present application can also be composed of multiple temperature sensors, at least one temperature sensor is provided on the DC socket, and at least one temperature sensor is also provided on the DC gun head. The multiple temperature sensors are connected to the sampling unit to sample the socket temperature of the DC socket and the gun head temperature of the DC gun head. Therefore, the DC charging data analysis device provided by the present application can realize the temperature monitoring function of the power terminal at the DC gun head and the DC gun seat. It provides a data basis for subsequent data analysis.

[0074] The DC charging data analysis method provided in the above embodiment of the present application is explained and illustrated in detail as follows in conjunction with the accompanying drawings. Figure 4 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 1 .like Figure 4 As shown, the processing unit applied to the DC charging data analysis device may include:

[0075] S301, obtaining electrical parameters of a first auxiliary power source before charging.

[0076] In a possible implementation, the electrical parameters of the first auxiliary source before charging are acquired by a sampling unit, such as voltage signals on the A+ and A- lines.

[0077] S302: If the electrical parameters of the first auxiliary power source meet the preset charging connection conditions, determine the charging start time, and obtain charging process data sampled by the sampling unit during the charging process.

[0078] The preset charging connection condition may be selected according to actual conditions. For example, the preset charging connection condition is that the electrical parameter of the first auxiliary source reaches 12V±0.8V.

[0079] In one possible implementation, if the electrical parameters of the first auxiliary source (such as the voltage signals on the A+ and A- lines) meet the preset charging connection conditions (12V±0.8V), it is used to determine whether the connection between the charging gun head and the charging gun holder is complete, which serves as a condition for starting the charging process, and then determines the charging start time, and obtains the charging process data sampled by the sampling unit during the charging process.

[0080] Among them, the charging process data may include: power electrical parameters, second auxiliary source electrical parameters, connection confirmation electrical parameters and communication messages. Among them, the power electrical parameters are the electrical parameters on the power line during the charging process, such as the electrical parameters collected on DC+ and DC- (such as current signals and voltage signals); the second auxiliary source electrical parameters are the auxiliary source electrical parameters collected on the second signal line (A+ and A-) during the charging process (such as auxiliary source current signals and auxiliary source voltage signals); the connection confirmation electrical parameters are the connection confirmation electrical parameters collected on the third signal line (CC1 and CC2) during the charging process (such as connection confirmation voltage signals); the communication message is the CAN communication message transmitted on the first signal line (S+ and S-) during the charging process for the interaction between the electric vehicle and the DC charging device.

[0081] S303: If the electrical parameters of the second auxiliary source meet the preset charging disconnection conditions, or if no communication message is received within the preset time period, the charging end time is determined, and analysis and diagnosis are performed based on the charging process data before the charging end time and the communication message to obtain a DC analysis and diagnosis result during the charging process.

[0082] The preset charging disconnection condition is that if the electrical parameter of the second auxiliary source during charging is less than 12V±0.8V, the charging process is determined to be finished. The preset time period can be selected according to actual conditions, for example, the preset time period can be selected as 3S.

[0083] In one possible implementation, if the electrical parameters of the second auxiliary source (such as the electrical parameters on A+ and A-) meet the preset charging disconnection conditions, that is, the electrical parameters of the second auxiliary source during the charging process are no longer 12V±0.8V, for example, the electrical parameters of the second auxiliary source are 9V or 0V, then it is confirmed that the charging process is over; or if no communication message is received within a preset time period (such as 3S), that is, during the charging process, the processing unit does not receive a communication message sent by the DC charging device or the electric vehicle within a preset time period (such as 3S), then it is determined that the charging process is over; and then the end time of this charging is determined; and analysis and diagnosis are performed based on the charging process data and the communication message before the charging end time to obtain the DC analysis and diagnosis results during the charging process.

[0084] The embodiment of the present application provides a DC charging data analysis method, firstly obtaining the first auxiliary source electrical parameter before charging; if the first auxiliary source electrical parameter meets the preset charging connection condition, then determining the charging start time, and obtaining the charging process data sampled by the sampling unit during the charging process, wherein the charging process data includes: power electrical parameter, second auxiliary source electrical parameter, connection confirmation electrical parameter, and communication message; if the second auxiliary source electrical parameter meets the preset charging disconnection condition, or the communication message is not received within the preset time period, then determining the charging end time, and analyzing and diagnosing the charging process data and the communication message before the charging end time, and obtaining the DC analysis diagnosis result during the charging process. That is, the present application obtains the DC analysis diagnosis result during the charging process by collecting and analyzing the DC charging process data, so as to locate the fault situation corresponding to the DC analysis diagnosis result according to the DC analysis diagnosis result, and provide the countermeasures and fault causes of the fault situation through the local historical abnormal records or the cloud database. Therefore, the DC charging data analysis method provided in this application can be used by car companies or charging pile companies in the R&D stage or road testing to obtain charging data of electric vehicles and DC charging piles and DC analysis and diagnosis results without destroying the existing charging environment, and finally generate a DC analysis and diagnosis report for reference by R&D or after-sales personnel to help them quickly locate faults and solve problems. Improve the stability, efficiency, safety and reliability of the DC charging data analysis system during the charging and discharging operation process.

[0085] The DC charging data analysis method provided in the above embodiment of the present application is explained and illustrated in detail as follows in conjunction with the accompanying drawings. Figure 5 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 2 .like Figure 5 As shown, in the above method, the analysis and diagnosis are performed according to the charging process data and the communication message before the end of charging to obtain the DC analysis and diagnosis result during the charging process, which may include:

[0086] S401. Parse data content of a first communication message in the communication messages to obtain transmission charging parameters of a charging process.

[0087] S402: Analyze and diagnose the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process.

[0088] Among them, the first communication message in the communication message can be selected according to actual conditions. For example, the first communication message may include: a charging handshake message, a charging parameter configuration message, a charging stage message and a charging end message, etc., and no limitation is made here.

[0089] In one possible implementation, the data content of the first communication message in the received communication message is parsed according to the preset charging standard to obtain the transmission charging parameters of the charging process. Then, analysis and diagnosis are performed based on the charging process data and the transmission charging parameters, and the data whose charging process data and transmission charging parameters meet the preset charging standards are screened out. Abnormality detection is performed based on the data that meets the preset charging standards, and the possible fault type and error cause are determined in combination with the local historical abnormal records (such as the abnormal case library of electric vehicle charging) or the cases in the cloud database, so as to obtain the DC analysis and diagnosis results during the charging process. Among them, the preset charging standard can be selected according to the actual situation, and there is no restriction here.

[0090] For example, after receiving the data content of the first communication message in the communication message, first determine whether the format of the first communication message is correct, then filter out the communication messages corresponding to the preset charging standard (such as BHM (BMS error message) and CHM (charger error message), etc.) through PGN (Parameter Group Number Filtering), and parse the data content of the filtered first communication message according to the preset charging standard to obtain the transmission charging parameters of the charging process. Then, analyze and diagnose according to the charging process data and the transmission charging parameters, filter out the data whose charging process data and transmission charging parameters meet the preset charging standards, and perform anomaly detection based on the data that meets the preset charging standards, and determine the possible fault type and error cause in combination with the local historical anomaly records (such as the abnormal case library of electric vehicle charging) or the cases in the cloud database, and then obtain the DC analysis and diagnosis results during the charging process.

[0091] The DC charging data analysis method provided in the embodiment of the present application parses the data content of the first communication message in the communication message to obtain the transmission charging parameters of the charging process; analyzes and diagnoses the charging process data and the transmission charging parameters to obtain the DC analysis and diagnosis results during the charging process. Therefore, the present application can analyze and diagnose the charging process data and the transmission charging parameters based on the communication message content specified by the preset charging standard, obtain the abnormal detection results, and then combine the accumulated local historical abnormal records or the cases in the cloud database to determine the possible fault type and error cause, and obtain the DC analysis and diagnosis results during the charging process for reference by the staff, helping them to quickly locate the fault and solve the problem, thereby improving the stability, efficiency, safety and reliability of the DC charging data analysis system during the charging and discharging operation process.

[0092] Optionally, the above-mentioned transmission charging parameters are electrical parameters obtained by parsing the data content of the first communication message, and the transmission charging parameters may at least include: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging device, and the maximum allowable temperature parameters of the energy storage battery in the electric vehicle.

[0093] In one possible implementation, Figure 6 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 3 .like Figure 6 As shown, in the above method, analysis and diagnosis are performed according to the charging process data and the transmitted charging parameters to obtain the DC analysis and diagnosis results during the charging process, including:

[0094] S501, determining whether the transmitted charging parameters match the corresponding parameters in the charging process data.

[0095] In a possible implementation, it is determined whether the transmitted charging parameters match the corresponding parameters in the charging process data. If so, step S502 is executed, and if not, step S503 is executed.

[0096] S502: If matched, generate first DC charging analysis indication information to indicate that the charging process is a normal charging process.

[0097] In one possible implementation, if the transmitted charging parameter matches the corresponding parameter in the charging process data, it means that the current charging process is normal, and the first DC charging analysis indication information can be generated to indicate that the charging process is a normal charging process. For example, if the sampled value in the charging process data matches the data of the transmitted charging parameter in the communication message, that is, the sampled value in the charging process data is equal to the transmitted charging parameter, then it is determined that the current charging process is normal.

[0098] S503: If there is no match, generate second DC analysis indication information to indicate that the charging process is an abnormal charging process.

[0099] The DC analysis diagnosis result includes at least: first DC charging analysis indication information or second DC analysis indication information. The first DC charging analysis indication information is used to indicate that the charging process is normal; the second DC analysis indication information is used to indicate that the charging process is abnormal.

[0100] In one possible implementation, if the transmitted charging parameters do not match the corresponding parameters in the charging process data, it means that the charging process is abnormal, and the first DC charging analysis indication information can be generated to indicate that the charging process is a normal charging process. For example, if the sampled value in the charging process data does not match the data of the transmitted charging parameters in the communication message, it means that the charging process is abnormal. For example, if the sampled value in the charging process data is greater than the transmitted charging parameter, it is determined that the charging process has an electrical parameter over-limit problem; or if the sampled value in the charging process data is less than the transmitted charging parameter, it is determined that the charging process has an electrical parameter under-voltage or under-current problem.

[0101] The DC charging data analysis method provided in the embodiment of the present application, the transmission charging parameters at least include: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging device, and the maximum allowable temperature parameters of the energy storage battery in the electric vehicle; determining whether the transmission charging parameters match the corresponding parameters in the charging process data is of great significance for improving charging efficiency, ensuring safety and stability of the DC charging data analysis device. In practical applications, regular inspection and maintenance are required to ensure the normal operation and efficient charging of the DC charging data analysis system; if the transmission charging parameters match the charging process data, a first DC charging analysis indication information is generated to indicate that the charging process is a normal charging process, which helps to maintain the stability of the DC charging data analysis system; if they do not match, a second DC analysis indication information is generated to indicate that the charging process is an abnormal charging process, which is conducive to analyzing the problems of the DC charging data analysis system in the charging process and ensuring the stability of the DC charging data analysis system. The DC analysis diagnosis result includes at least: the first DC charging analysis indication information or the second DC analysis indication information. Therefore, the present application improves the safety and stability of the DC charging data analysis system by comparing the parameters of the transmission charging parameters and the charging process data, prevents safety accidents during the charging process, and protects the safety of personnel and equipment.

[0102] Optionally, if the DC analysis diagnosis result may include: second DC analysis indication information, the DC analysis diagnosis result may also include: a charging shutdown reason.

[0103] In one possible implementation, if the DC analysis diagnosis result may include: the second DC analysis indication information, it means that the charging process is abnormal. The possible fault type and error cause can be determined based on the local historical abnormal records (such as the abnormal case library of electric vehicle charging) or the cases in the cloud database, and then the DC analysis diagnosis result of the charging process is obtained. The DC analysis diagnosis result may also include: the reason for the charging shutdown.

[0104] In a possible implementation, the above method performs analysis and diagnosis based on the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process, and may further include:

[0105] The data content of the second communication message in the communication message is parsed to obtain the charging shutdown reason of the charging process.

[0106] Among them, the second communication message can be selected according to actual conditions. For example, the second communication message can be a BST (BMS stop charging message), a CST (charger stop charging message), a BEM (BMS error message), a CEM (charger error message) message, etc.

[0107] In one possible implementation, the data content of the second communication message (such as BST message, CST message, BEM message, CEM) in the communication message is parsed to obtain the abnormal charging reason of this charging process, and then obtain the charging shutdown reason. For example, by parsing the data content of the BST message, it can be obtained that the shutdown reasons of this charging process include three aspects: the reason for terminating charging, the reason for charging failure, and the reason for charging error.

[0108] In the DC charging data analysis method provided in the embodiment of the present application, if the DC analysis diagnosis result is composed of the second DC analysis indication information, then the DC analysis diagnosis result must include the charging shutdown reason; that is, the data content of the second communication message in the communication message is parsed to obtain the charging shutdown reason of the charging process, and the root cause of the problem corresponding to the second DC analysis indication information can be quickly located according to the second communication message, thereby improving the safety and reliability of the charging process and providing data support for the maintenance and optimization of each device in the DC charging data analysis system.

[0109] The DC charging data analysis method provided in the above embodiment of the present application is explained and illustrated in detail as follows in conjunction with the accompanying drawings. Figure 7 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 4 .like Figure 7 As shown, the above method performs analysis and diagnosis according to power electrical parameters, auxiliary source electrical parameters, connection confirmation electrical parameters and communication messages to obtain DC analysis and diagnosis results during the charging process, and may also include:

[0110] S601. Perform data statistics on various communication messages to obtain the sending cycle information and message quantity information of various communication messages during the charging process.

[0111] In one possible implementation, the data content of each type of communication message is parsed according to the preset charging standard, and data statistics are performed on each type of communication message, that is, the maximum and minimum sending period information of each type of communication message and the number of messages sent are obtained, and then the sending period information and the number of messages of each type of communication message during the charging process are obtained.

[0112] It should be noted that in the process of collecting data statistics on various communication messages, the average sending cycle information of various communication messages can also be collected to reflect the communication efficiency of the DC charging data analysis equipment, improve the reliability of the DC charging data analysis equipment, and enhance the user experience.

[0113] S602: Generate communication compliance diagnostic information of the charging process according to the sending cycle information and message quantity information of various communication messages.

[0114] In one possible implementation, based on the transmission cycle information and message quantity information of various communication messages, the types of each communication message are identified according to the acquired PGN, and then based on the types of each communication message, the communication compliance diagnostic information of the charging process is generated. Among them, the DC analysis diagnosis result also includes: communication compliance diagnostic information. That is, the communication compliance diagnostic information may include: message quantity information, maximum and minimum cycle information in the transmission cycle information of various communication messages, and average cycle information of various communication messages.

[0115] The DC charging data analysis method provided in the embodiment of the present application performs data statistics on various communication messages to obtain the sending cycle information and message quantity information of various communication messages during the charging process; the sending cycle of various communication messages is analyzed through the sending cycle information of various communication messages. For example, if the sending cycle of the communication message exceeds the preset cycle length (such as 200ms), it means that the data of the communication message is incorrect and requires subsequent analysis; the statistics of the message quantity information are to evaluate the performance and resource allocation of the DC charging data analysis equipment; then, according to the sending cycle information and message quantity information of various communication messages, the communication compliance diagnostic information of the charging process is generated, and the DC analysis diagnostic results also include: communication compliance diagnostic information. Therefore, this application provides the basic conditions for the subsequent performance evaluation and maintenance of the DC charging data analysis equipment through the communication compliance diagnostic information.

[0116] Optionally, the charging process data may further include: a socket temperature of a DC socket and a gun tip temperature of a DC gun tip.

[0117] In one possible implementation, by Figure 3 The temperature sensor T1 and the temperature sensor T2 in the apparatus obtain the gun tip temperature of the DC gun tip; the temperature sensor T3 and the temperature sensor T4 obtain the socket temperature of the DC socket.

[0118] In one possible implementation, Figure 8 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 5 .like Figure 8 As shown, the above method performs analysis and diagnosis according to the charging process data and the communication message to obtain the DC analysis and diagnosis result during the charging process, and may also include:

[0119] S701. Record the maximum power electrical parameter, minimum power electrical parameter, maximum auxiliary source electrical parameter, minimum auxiliary source electrical parameter, maximum connection confirmation electrical parameter and minimum connection confirmation electrical parameter during the charging process according to the power electrical parameter, auxiliary source electrical parameter and connection confirmation electrical parameter.

[0120] In one possible implementation method, based on the power electrical parameters, auxiliary source electrical parameters, and connection confirmation electrical parameters during the charging process, the maximum power electrical parameters, minimum power electrical parameters, maximum auxiliary source electrical parameters, minimum auxiliary source electrical parameters, maximum connection confirmation electrical parameters, and minimum connection confirmation electrical parameters during the charging process are respectively counted to ensure the charging efficiency of the charging process and the safety of the DC charging data analysis equipment during the charging process.

[0121] S702. According to the socket temperature of the DC socket and the gun tip temperature of the DC gun tip, the maximum socket temperature, the minimum socket temperature, the maximum gun tip temperature and the minimum gun tip temperature are respectively recorded as gun tip and gun seat temperature information.

[0122] In one possible implementation, based on the socket temperature of the DC socket and the gun tip temperature of the DC gun head, the maximum socket temperature, the minimum socket temperature, the maximum gun tip temperature and the minimum gun tip temperature are recorded as the gun tip and gun seat temperature information respectively, so that the DC charging data analysis device has the function of detecting the socket temperature of the DC socket and the gun tip temperature of the DC gun head.

[0123] S703, generating charging statistics of the charging process according to the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, the minimum connection confirmation electrical parameter and the gun head and gun seat temperature information.

[0124] The DC analysis and diagnosis results include: charging statistics information.

[0125] In one possible implementation, based on the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, the minimum connection confirmation electrical parameter, and the gun tip and gun seat temperature information, the charging statistics of the charging process are generated, so that the DC analysis diagnosis result includes the charging statistics. The charging statistics may include: the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, the minimum connection confirmation electrical parameter, and the gun tip and gun seat temperature information.

[0126] The DC charging data analysis method provided in the embodiment of the present application, the charging process data also includes: the socket temperature of the DC socket and the gun tip temperature of the DC gun tip; the analysis and diagnosis are performed according to the charging process data and the communication message to obtain the DC analysis diagnosis result of the charging process, and also includes: according to the power electrical parameters, the auxiliary source electrical parameters, and the connection confirmation electrical parameters, the maximum power electrical parameters of the charging process are recorded respectively, so as to shorten the charging time according to the maximum power electrical parameters and improve the charging efficiency; the minimum power electrical parameters, so as to protect the battery according to the minimum power electrical parameters and improve the stability of the DC charging data analysis equipment; the maximum auxiliary source electrical parameters, so as to ensure the stable operation of the DC charging data analysis equipment according to the maximum auxiliary source electrical parameters; the minimum auxiliary source electrical parameters, so as to save energy and reduce consumption according to the minimum auxiliary source electrical parameters, improve the stability of the DC charging data analysis equipment, the maximum connection confirmation electrical parameters and the minimum connection confirmation electrical parameters, so as to ensure the safety of the DC charging data analysis system according to the maximum connection confirmation electrical parameters and the minimum connection confirmation electrical parameters; according to the direct The socket temperature of the DC socket and the gun tip temperature of the DC gun tip record the maximum socket temperature and the minimum socket temperature respectively, so as to confirm the safety and fault conditions of the DC charging data analysis equipment according to the maximum socket temperature and the minimum socket temperature; the maximum gun tip temperature and the minimum gun tip temperature are used as the gun tip and gun seat temperature information, so as to confirm the safety and fault conditions of the DC charging data analysis equipment according to the maximum gun tip temperature and the minimum gun tip temperature; then, according to the maximum power electrical parameters, the minimum power electrical parameters, the maximum auxiliary source electrical parameters, the minimum auxiliary source electrical parameters, the maximum connection confirmation electrical parameters, the minimum connection confirmation electrical parameters and the gun tip and gun seat temperature information, the charging statistical information of the charging process is generated, so that the DC analysis diagnosis result contains the charging statistical information, so that the user can intuitively see the charging statistical information during the charging process, and also provide a basis for the subsequent confirmation of abnormal conditions and the provision of countermeasures according to the charging statistical information, which not only improves the user experience, but also improves the reliability and safety of the DC charging data analysis system.

[0127] Optionally, the transmission charging parameter may further include: a state of charge parameter SOC of the energy storage battery at the end of charging, so as to determine the charging progress of the electric vehicle by the state of charge parameter SOC at the end of charging, thereby improving the user experience.

[0128] In one possible implementation, Fig. 9 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 6 .like Fig. 9 As shown, the above method performs analysis and diagnosis according to the charging process data and the communication message to obtain the DC analysis and diagnosis result during the charging process, and may also include:

[0129] S801. Determine charging time information of a charging process according to a charging start time and a charging end time.

[0130] In one possible implementation, the charging time information of the charging process is determined according to the charging start time and the charging end time, so that the user can accurately grasp the charging progress of the electric vehicle and improve the user experience.

[0131] S802: Generate charging overview information of the charging process according to the charging time information, the information of the DC charging device, and the state of charge parameter.

[0132] The DC analysis diagnostic results also include: charging profile information.

[0133] In a possible implementation, charging profile information of the charging process is generated based on the charging time information, the information of the DC charging device, and the state of charge parameter, so that the DC analysis diagnosis result may include the charging profile information. The charging profile information may include: charging time information, the information of the DC charging device, and the state of charge parameter SOC. The information of the DC charging device is used to characterize the identification information such as the model of the DC charging device used for this charging.

[0134] The DC charging data analysis method provided in the embodiment of the present application can also transmit charging parameters composed of the charge state parameters of the energy storage battery at the end of charging; then determine the charging time information of the charging process based on the charging start time and the charging end time; and generate the charging profile information of the charging process based on the charging time information, the information of the DC charging device and the charge state parameters, so that the DC analysis diagnosis result also includes the charging profile information, thereby improving the user experience.

[0135] To facilitate understanding of the above DC charging data analysis method, the present application embodiment further provides an example of a process of a DC charging data analysis method, which is described below in conjunction with the accompanying drawings. Fig.10 A flow chart of a DC charging data analysis method provided in an embodiment of the present application Figure 7 .like Fig.10 As shown, the schematic diagram provided by the embodiment of the present application Figure 7 This may include:

[0136] S901. Perform a self-check according to the electrical parameters of the first auxiliary source before charging.

[0137] Specifically, the sampling unit obtains the electrical parameters of the first auxiliary source before charging, such as the voltage signals on the A+ and A- lines, to see whether the electrical parameters of the first auxiliary source have reached the preset charging connection conditions (such as 12V±0.8V), so as to judge whether the charging gun head and the charging gun holder are connected, which is then used as the condition for starting the charging process. That is, the electrical parameters of the first auxiliary source have reached the preset charging connection conditions (such as 12V±0.8V), so as to judge that the charging gun head and the charging gun holder have been connected, indicating that the charging process has started. At this time, the charging start time can be recorded.

[0138] S902: Acquire charging process data sampled by a sampling unit during the charging process.

[0139] Specifically, the charging process data sampled by the sampling unit during the charging process are obtained through multiple electrical parameter sensors and multiple temperature sensors in the DC charging data analysis device. For example, electrical parameters (such as current signals and voltage signals) collected on DC+ and DC-, auxiliary source electrical parameters (such as auxiliary source current signals and auxiliary source voltage signals) collected on the second signal lines (A+ and A-), connection confirmation electrical parameters (such as connection confirmation voltage signals) collected on the third signal lines (CC1 and CC2), CAN communication messages transmitted on the first signal lines (S+ and S-) between the electric vehicle and the DC charging device, and the socket temperature of the DC socket and the gun head temperature of the DC gun head.

[0140] S903: parse the data content of the first message in the communication message to obtain the transmission charging parameters of the charging process.

[0141] Specifically, the received first message is parsed to determine whether the format of the first message is correct, and then the charging messages belonging to the preset charging standard are filtered out through the PGN, and the data content of the first message is parsed according to the content of the preset charging standard, and the maximum and minimum sending period information and the sending quantity information of each type of communication message are counted, and then the type of the first message is identified according to the PGN of the acquired message, and then the transmission charging parameters of the charging process are obtained, and the transmission charging parameters of the charging process may include: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging equipment, the maximum allowable temperature parameters of the energy storage battery in the electric vehicle and other data.

[0142] S904: Perform analysis and diagnosis based on the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process.

[0143] Specifically, if the electrical parameters of the second auxiliary source (such as the electrical parameters on A+ and A-) meet the preset charging disconnection condition, that is, the electrical parameters of the second auxiliary source during the charging process are no longer 12V±0.8V, for example, the electrical parameters of the second auxiliary source are 9V or 0V, then it is confirmed that the charging process is over; or if no communication message is received within a preset time period (such as 3S), that is, during the charging process, the processing unit does not receive a communication message sent by the DC charging device or the electric vehicle within a preset time period (such as 3S), then it is determined that the charging process is over; and then the end time of this charging is determined; and the charging process data before the end time of the charging and the communication message are analyzed and diagnosed, for example, to determine whether the transmission charging parameters and the corresponding parameters in the charging process data match. If the transmission charging parameters and the corresponding parameters in the charging process data match, it means that the charging process is normal, and the first DC charging analysis indication information can be generated to indicate that the charging process is a normal charging process; if the transmission charging parameters and the corresponding parameters in the charging process data do not match, it means that the charging process is abnormal, and the first DC charging analysis indication information can be generated to indicate that the charging process is a normal charging process. Then, according to the data content of the second communication message (such as BST message, CST message, BEM message, CEM) in the communication message, the abnormal charging cause of this charging process is obtained, and then the charging shutdown cause is obtained, and finally the DC analysis diagnosis result of the charging process is obtained.

[0144] Among them, the DC analysis and diagnosis results during the charging process include four major categories: charging overview information, charging shutdown reasons, communication compliance diagnosis information, and charging statistics information.

[0145] The charging profile information includes: charging time information, DC charging equipment information and charge status parameters; charging shutdown reasons include: reasons for charging termination, charging failure reasons and charging errors; communication compliance diagnostic information includes: sending cycle information of various communication messages and message quantity information; charging statistical information includes: maximum power electrical parameters, minimum power electrical parameters, maximum auxiliary source electrical parameters, minimum auxiliary source electrical parameters, maximum connection confirmation electrical parameters, minimum connection confirmation electrical parameters and gun head and gun seat temperature information.

[0146] The DC charging data analysis method provided in the embodiment of the present application performs self-checking according to the first auxiliary source electrical parameter before charging; obtains the charging process data sampled by the sampling unit during the charging process; parses the data content of the first message in the communication message to obtain the transmission charging parameters of the charging process; analyzes and diagnoses according to the charging process data and the transmission charging parameters to obtain the DC analysis diagnosis results during the charging process. Therefore, the present application can locate the fault situation corresponding to the DC analysis diagnosis results based on the DC analysis diagnosis results, and provide the countermeasures and fault causes of the fault conditions through local historical abnormal records or cloud databases. In addition, the DC charging data analysis method provided in the present application can be used by car companies or pile companies in the research and development stage or road testing to obtain the charging data of electric vehicles and DC charging piles and the DC analysis diagnosis results without destroying the existing charging environment, and finally generate a DC analysis diagnosis report for reference by R&D or after-sales personnel to help them quickly locate faults and solve problems. Improve the stability, efficiency, safety and reliability of the DC charging data analysis system during the charging and discharging operation process.

[0147] Based on the same inventive concept, a DC charging data analysis device is also provided in the embodiment of the present application. Since the principle of solving the problem by the device in the embodiment of the present application is similar to the above-mentioned DC charging data analysis method in the embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0148] Fig.11 This is a schematic diagram of the structure of a DC charging data analysis device provided in an embodiment of the present application. Fig.11 As shown, the DC charging data analysis device 1000 is applied to a DC charging data analysis device, and the DC charging data analysis device 1000 may include:

[0149] A first acquisition module 1001, used to acquire electrical parameters of a first auxiliary source before charging;

[0150] The second acquisition module 1002 is used to determine the charging start time if the first auxiliary source electrical parameter meets the preset charging connection condition, and obtain the charging process data sampled by the sampling unit during the charging process, wherein the charging process data includes: power electrical parameters, second auxiliary source electrical parameters, connection confirmation electrical parameters and communication messages;

[0151] The analysis module 1003 is used to determine the charging end time if the second auxiliary source electrical parameters meet the preset charging disconnection conditions or no communication message is received within the preset time period, and to perform analysis and diagnosis based on the charging process data before the charging end time and the communication message to obtain the DC analysis and diagnosis results during the charging process.

[0152] In an optional implementation, the analysis module 1003 is specifically used to: parse the data content of the first communication message in the communication message to obtain the transmission charging parameters of the charging process; perform analysis and diagnosis based on the charging process data and the transmission charging parameters to obtain the DC analysis and diagnosis results of the charging process.

[0153] In an optional embodiment, the transmitted charging parameters include at least: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging device, and the maximum allowable temperature parameters of the energy storage battery in the electric vehicle; the analysis module 1003 is specifically used to: determine whether the transmitted charging parameters and the corresponding parameters in the charging process data match; if they match, generate a first DC charging analysis indication information to indicate that the charging process is a normal charging process; if they do not match, generate a second DC analysis indication information to indicate that the charging process is an abnormal charging process, and the DC analysis diagnosis result includes at least: the first DC charging analysis indication information or the second DC analysis indication information.

[0154] In an optional implementation, if the DC analysis diagnosis result includes: second DC analysis indication information, the DC analysis diagnosis result also includes: the reason for charging shutdown; the analysis module 1003 is also used to: parse the data content of the second communication message in the communication message to obtain the reason for charging shutdown of the charging process.

[0155] In an optional implementation, the analysis module 1003 is also used to: perform data statistics on various communication messages to obtain the sending cycle information and message quantity information of various communication messages during the charging process; generate communication compliance diagnostic information of the charging process based on the sending cycle information and message quantity information of various communication messages, and the DC analysis diagnostic results also include: communication compliance diagnostic information.

[0156] In an optional embodiment, the charging process data also includes: the socket temperature of the DC socket and the gun tip temperature of the DC gun head; the analysis module 1003 is also used to: record the maximum power electrical parameters, minimum power electrical parameters, maximum auxiliary source electrical parameters, minimum auxiliary source electrical parameters, maximum connection confirmation electrical parameters and minimum connection confirmation electrical parameters in the charging process according to the power electrical parameters, auxiliary source electrical parameters and connection confirmation electrical parameters; record the maximum socket temperature, minimum socket temperature, maximum gun tip temperature and minimum gun tip temperature as gun tip and gun seat temperature information according to the socket temperature of the DC socket and the gun tip temperature of the DC gun head; generate charging statistical information of the charging process according to the maximum power electrical parameters, minimum power electrical parameters, maximum auxiliary source electrical parameters, minimum auxiliary source electrical parameters, maximum connection confirmation electrical parameters, minimum connection confirmation electrical parameters and gun tip and gun seat temperature information; the DC analysis diagnosis results include: charging statistical information.

[0157] In an optional implementation, the transmitted charging parameters also include: the state of charge parameters of the energy storage battery at the end of charging; the analysis module 1003 is also used to: determine the charging time information of the charging process based on the charging start time and the charging end time; generate the charging profile information of the charging process based on the charging time information, the information of the DC charging device and the state of charge parameters, and the DC analysis diagnosis result also includes: charging profile information.

[0158] Optionally, the embodiment of the present application also provides a processing unit. Fig.12 A schematic diagram of the structure of a processing unit provided in an embodiment of the present application. Fig.12 As shown, the processing unit 130 may include: a processor 131 and a memory 132 .

[0159] The memory 132 stores machine executable instructions that can be executed by the processor 131, that is, when the DC charging data analysis device 100 is running, the above machine readable instructions are executed, and the processor 131 communicates with the memory 132 via a bus. The processor 131 can execute the machine executable instructions to implement the DC charging data analysis method.

[0160] Among them, the memory 132, the processor 131 and the bus elements are directly or indirectly electrically connected to each other to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The mobile storage device includes at least one software function module that can be stored in the memory 132 in the form of software or firmware or solidified in the operating system (OS) of the electronic device. The processor 131 is used to execute the executable modules stored in the memory 132, such as the software function modules and computer programs included in the DC charging data analysis method of the mobile storage medium.

[0161] Optionally, the embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the processor executes the steps of the DC charging data analysis method for a mobile storage medium in the above embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0162] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A DC charging data analysis method, characterized in that: Applied to a DC charging data analysis device, the method comprises: Acquiring electrical parameters of the first auxiliary source before charging; If the first auxiliary source electrical parameter meets the preset charging connection condition, determine the charging start time, and obtain the charging process data sampled by the sampling unit during the charging process, wherein the charging process data includes: power electrical parameters, second auxiliary source electrical parameters, connection confirmation electrical parameters and communication messages; If the electrical parameters of the second auxiliary source meet the preset charging disconnection conditions, or no communication message is received within a preset time period, the charging end time is determined, and analysis and diagnosis are performed based on the charging process data before the charging end time and the communication message to obtain a DC analysis and diagnosis result during the charging process.

2. The DC charging data analysis method according to claim 1, characterized in that: The analyzing and diagnosing according to the charging process data and the communication message before the charging is completed to obtain the DC analysis and diagnosis result during the charging process includes: Parsing data content of a first communication message in the communication messages to obtain a transmission charging parameter of the charging process; An analysis and diagnosis is performed based on the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process.

3. The DC charging data analysis method according to claim 2, characterized in that: The transmission charging parameters include at least: the maximum allowable electrical parameters of the electric vehicle, the output electrical parameters of the DC charging device, and the maximum allowable temperature parameters of the energy storage battery in the electric vehicle; The performing analysis and diagnosis according to the charging process data and the transmitted charging parameters to obtain a DC analysis and diagnosis result during the charging process includes: Determining whether the transmitted charging parameters match corresponding parameters in the charging process data; If they match, generating first DC charging analysis indication information to indicate that the charging process is a normal charging process; If there is no match, second DC analysis indication information is generated to indicate that the charging process is an abnormal charging process, and the DC analysis diagnosis result at least includes: the first DC charging analysis indication information or the second DC analysis indication information.

4. The DC charging data analysis method according to claim 3, characterized in that: If the DC analysis diagnosis result includes: the second DC analysis indication information, the DC analysis diagnosis result also includes: the charging shutdown reason; the DC analysis diagnosis result obtained by analyzing and diagnosing according to the charging process data and the transmitted charging parameters during the charging process also includes: The data content of the second communication message in the communication message is parsed to obtain the charging shutdown reason of the charging process.

5. The DC charging data analysis method according to claim 2, characterized in that: The performing analysis and diagnosis according to the power electrical parameter, the auxiliary source electrical parameter, the connection confirmation electrical parameter and the communication message to obtain a DC analysis and diagnosis result during the charging process also includes: Performing data statistics on various communication messages to obtain sending cycle information and message quantity information of various communication messages during the charging process; The communication compliance diagnostic information of the charging process is generated according to the sending cycle information of the various communication messages and the message quantity information, and the DC analysis diagnostic result also includes: the communication compliance diagnostic information.

6. The DC charging data analysis method according to claim 1, characterized in that: The charging process data also includes: the socket temperature of the DC socket and the tip temperature of the DC gun tip; the analysis and diagnosis based on the charging process data and the communication message to obtain the DC analysis and diagnosis result during the charging process also includes: According to the power electrical parameter, the auxiliary source electrical parameter, and the connection confirmation electrical parameter, respectively record the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, and the minimum connection confirmation electrical parameter during the charging process; According to the socket temperature of the DC socket and the gun tip temperature of the DC gun tip, the maximum socket temperature, the minimum socket temperature, the maximum gun tip temperature and the minimum gun tip temperature are recorded as gun tip and gun seat temperature information; Charging statistical information of the charging process is generated according to the maximum power electrical parameter, the minimum power electrical parameter, the maximum auxiliary source electrical parameter, the minimum auxiliary source electrical parameter, the maximum connection confirmation electrical parameter, the minimum connection confirmation electrical parameter and the gun head and gun seat temperature information; the DC analysis diagnosis result includes: the charging statistical information.

7. The DC charging data analysis method according to claim 3, characterized in that: The transmission charging parameters also include: the state of charge parameters of the energy storage battery at the end of charging; The performing analysis and diagnosis according to the charging process data and the communication message to obtain a DC analysis and diagnosis result during the charging process further includes: Determining charging time information of the charging process according to the charging start time and the charging end time; The charging profile information of the charging process is generated according to the charging time information, the information of the DC charging device and the charge state parameter, and the DC analysis diagnosis result also includes: the charging profile information.

8. A DC charging data analysis device, characterized in that: The device comprises: a DC socket, a DC gun head, a processing unit, a sampling unit, a communication interface and a plurality of electrical parameter sensors; The DC socket is used to connect a DC charging device, and the DC gun head is used to connect an electric vehicle. The DC power pins of the DC socket are connected to the DC power pins of the DC gun head through corresponding power lines; the communication pin of the DC socket is connected to the communication pin of the DC gun head through a first signal line, the auxiliary source pin of the DC socket is connected to the auxiliary source pin of the DC gun head through a second signal line, and the connection confirmation pin of the DC socket is connected to the connection confirmation pin of the DC gun head through a third signal line; Wherein, corresponding electrical parameter sensors are respectively arranged on the power line, the second signal line and the third signal line, and the plurality of electrical parameter sensors are all connected to the sampling unit, and the sampling unit is connected to the processing unit to respectively sample the power electrical parameter on the power line, the auxiliary source electrical parameter on the second signal line and the connection confirmation electrical parameter on the third signal line; The first signal line is connected to the processing unit through the communication interface to sample the communication message transmitted on the first signal line; The processing unit is used to execute the DC charging data analysis method according to any one of claims 1 to 7.

9. The DC charging data analysis device according to claim 8, characterized in that: The DC charging data analysis device also includes: multiple temperature sensors, at least one temperature sensor is arranged on the DC socket, and the at least one temperature sensor is also arranged on the DC gun head. The multiple temperature sensors are connected to the sampling unit to sample the socket temperature of the DC socket and the gun head temperature of the DC gun head.

10. A DC charging data analysis system, characterized in that: include: The DC charging data analysis device, DC charging device and electric vehicle according to any one of claims 8 to 9; Wherein, the charging gun head of the DC charging device is connected to the DC socket of the DC charging data analysis device; the DC gun head of the DC charging data analysis device is connected to the charging socket of the electric vehicle; The DC charging data analysis device is used to execute the DC charging data analysis method described in any one of claims 1 to 8 above.

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