System and method for collecting and analyzing alternating current charging data of electric vehicle

Abstract

The invention provides an electric vehicle alternating current charging data acquisition and analysis system and method. Wherein the alternating current charging pile, the vehicle charging interface, the vehicle-mounted charger and the high-voltage distribution box are sequentially connected in series; the high-voltage distribution box is respectively connected with the high-voltage load, the power battery and the direct-current converter; the direct-current converter is connected with a low-voltage load; the on-board OBD diagnosis interface is connected with the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter and the low-voltage load. A plurality of data acquisition points are arranged among the devices, and the plurality of data acquisition points are respectively connected with the multi-channel power analyzer. According to the invention, data acquisition points on an electric quantity transmission loop are added, and redundancy check is carried out on the acquired data in combination with monitoring data of each device to ensure data accuracy, so that alternating current charging efficiency and influence factors thereof are quantified, and a direction is provided for subsequent engineering optimization.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle charging, and in particular, relates to a system and method for collecting and analyzing electric vehicle AC charging data. Background Art

[0002] AC charging is a common way for electric vehicles to replenish their power. Electric vehicles obtain 220V AC power from the power grid through AC charging piles, which is transmitted to the on-board charger through the wiring harness for conversion and then input into the power battery. In this process, higher transmission and conversion efficiency helps reduce power consumption on the grid side, save charging costs, and improve user experience.

[0003] In the existing related technologies, usually only the power at the output end of the AC charging pile and the input end of the power battery is measured to calculate the AC charging efficiency of the electric vehicle. For example, the public document with the publication number 115616326A, the publication date 2023-01-17, and the patent name "Electric Vehicle Charging Efficiency Test Method, Device, Equipment and Medium" is as follows: This application relates to the field of new energy vehicle technology, and in particular to an electric vehicle charging efficiency test method, device, equipment and medium, wherein the method includes: obtaining a test request of an electric vehicle; controlling the charging pile to start charging the power battery of the electric vehicle according to the test request, and simultaneously collecting the current and voltage at the output end of the charging pile and the input end of the power battery during the charging process; calculating the first energy entering the whole vehicle and the second energy entering the power battery according to the current and voltage at the output end of the charging pile and the input end of the power battery, respectively, and calculating the charging efficiency of the electric vehicle according to the first energy and the second energy.

[0004] However, due to the complex electromagnetic environment of electric vehicles, when using sensors to collect data at measurement points, the test results are often affected by the accuracy of the data collection. At the same time, due to the small number of data collection points, it is not conducive to locking in the subsequent engineering optimization direction.

[0005] To this end, the present invention proposes a system and method for collecting and analyzing electric vehicle AC charging data. Summary of the invention

[0006] The present invention aims to overcome the deficiencies of the prior art and proposes an electric vehicle AC charging data acquisition and analysis system and method to achieve the following objectives: combining the analysis of the electric vehicle AC charging architecture, increasing the data acquisition points on the power transmission loop, and combining the monitoring data of each device itself, performing redundancy check on the collected data to ensure data accuracy, so that the factors affecting the AC charging efficiency can be quantified based on the collected data, providing direction for subsequent engineering optimization.

[0007] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: an electric vehicle AC charging data acquisition and analysis system, the system includes the following equipment: an AC charging pile, a vehicle charging interface, an on-board charger, a high-voltage distribution box, a high-voltage load, a power battery, a DC converter, a low-voltage load, a multi-channel power analyzer, and an on-board OBD diagnostic interface, wherein: the AC charging pile, the vehicle charging interface, the on-board charger, and the high-voltage distribution box are connected in series in sequence; the high-voltage distribution box is also respectively connected to the high-voltage load, the power battery, and the DC converter; the DC converter is connected to the low-voltage load; the on-board OBD diagnostic interface is respectively connected to the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load; a plurality of data acquisition points are arranged between each device, and the plurality of data acquisition points are respectively connected to the multi-channel power analyzer.

[0008] Preferably, the AC charging pile, vehicle charging interface, on-board charger, high-voltage distribution box, high-voltage load, power battery, DC converter, and low-voltage load are all integrated with corresponding ECUs. The ECU of each device is used to monitor its own working status data, which includes input or output voltage and current parameters.

[0009] Preferably, the vehicle-mounted OBD diagnostic interface is connected to the ECU of each device.

[0010] Preferably, the ECU of each device is connected to the vehicle-mounted OBD diagnostic interface via a CAN bus.

[0011] Preferably, the vehicle-mounted OBD diagnostic interface reads the working status data monitored by each device itself based on the UDS diagnostic protocol.

[0012] Preferably, the first collection point is set at the output side of the AC charging pile, and is used to collect the voltage and current parameters output by the AC charging pile;

[0013] The second collection point is set at the output side of the vehicle charging interface, and is used to collect the voltage and current parameters output by the vehicle charging interface;

[0014] The third collection point is set at the output side of the vehicle charger, and is used to collect the voltage and current parameters output by the vehicle charger;

[0015] The fourth collection point is set at the high-voltage load input side, and is used to collect voltage and current parameters of the high-voltage load input;

[0016] The fifth collection point is set at the power battery input side, and is used to collect the voltage and current parameters of the power battery input;

[0017] The sixth collection point is set at the input side of the DC converter, and is used to collect voltage and current parameters of the DC converter input;

[0018] The seventh collection point is set at the output side of the DC converter, and is used to collect the voltage and current parameters output by the DC converter;

[0019] The eighth collection point is set on the vehicle-mounted OBD diagnostic interface and is used to collect the working status data of each device's own monitoring.

[0020] At the same time, the present application also proposes an electric vehicle AC charging data collection and analysis method based on the above electric vehicle AC charging data collection and analysis system, the method comprising the following steps:

[0021] Step S1, setting a plurality of data collection points on the transmission loop between the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load; setting a data collection point on the on-board OBD diagnostic interface;

[0022] Step S2, collecting data from each data collection point through a multi-channel power analyzer and performing analysis and processing;

[0023] Step S3: According to the processing result of step S2, the factors affecting the AC charging efficiency are quantified, and the factors affecting the AC charging efficiency include high-voltage circuit transmission loss, low-voltage load loss, high-voltage load loss, vehicle charger conversion efficiency, and DC converter conversion efficiency.

[0024] Preferably, step S2 includes: the multi-channel power analyzer compares the data collected from each collection point with the working status data of each device obtained from the on-board OBD diagnostic interface, wherein the data whose error exceeds a preset error threshold during the comparison process is eliminated as abnormal data.

[0025] Preferably, step S2 includes: the multi-channel power analyzer integrates the voltage and current parameters collected at each collection point to obtain the input or output power of the corresponding device.

[0026] Preferably, step S3 comprises:

[0027] The charging efficiency of electric vehicles is quantified as the quotient of the power input of the power battery and the power output of the AC charging pile;

[0028] The high-voltage circuit transmission loss is quantified as: the difference between the output power of the on-board charger and the input power of the power battery, plus the difference between the output power of the AC charging pile and the output power of the vehicle charging interface;

[0029] The low voltage load loss is quantified as: the output power of the DC converter;

[0030] The high voltage load loss is quantified as: the input power of the high voltage load.

[0031] The conversion efficiency of the on-board charger is quantified as: the quotient of the output power of the on-board charger and the output power of the vehicle charging interface;

[0032] The conversion efficiency of the DC converter is quantified as the quotient of the DC converter output power and the DC converter input power.

[0033] The technical effects of the present invention are:

[0034] (1) By setting up multiple data collection points at key nodes such as AC charging piles, vehicle charging interfaces, on-board chargers, high-voltage distribution boxes, high-voltage loads, power batteries, DC converters, and low-voltage loads, the system can fully cover all key links in the AC charging process of electric vehicles and ensure the integrity and accuracy of the data.

[0035] (2) The working status data of each device’s own monitoring is collected through the vehicle’s OBD diagnostic interface and compared with the data collected externally to form a redundant verification mechanism, effectively eliminate abnormal data, and improve data reliability and accuracy.

[0036] (3) The present invention can quantify the charging efficiency of electric vehicles as well as influencing factors such as high-voltage circuit transmission loss, low-voltage load loss, high-voltage load loss, on-board charger conversion efficiency, and DC converter conversion efficiency, providing direction for subsequent engineering optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 The present invention is a schematic diagram of data collection point distribution of an electric vehicle AC charging data collection and analysis system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The following is a further detailed description of the specific implementation of the present invention through the description of the embodiments with reference to the accompanying drawings, with the purpose of helping those skilled in the art to have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention, and to facilitate its implementation. It should be noted that the words "first", "second" and the like in this application are only used to facilitate the description of the technical solution to distinguish different components, and are not used to limit this application. In order to make the technical solution of the present invention clearer, the present invention is explained through the following embodiments.

[0039] This embodiment discloses a data collection and analysis system for AC charging of electric vehicles. Figure 1As shown, the system includes the following equipment: an AC charging pile, a vehicle charging interface, an on-board charger, a high-voltage distribution box, a high-voltage load, a power battery, a DC converter, a low-voltage load, a multi-channel power analyzer, and an on-board OBD diagnostic interface, wherein: the AC charging pile, the vehicle charging interface, the on-board charger, and the high-voltage distribution box are connected in series in sequence; the high-voltage distribution box is also connected to the high-voltage load, the power battery, and the DC converter respectively; the DC converter is connected to the low-voltage load; the on-board OBD diagnostic interface is connected to the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load respectively; multiple data collection points are set between each device, and the multiple data collection points are respectively connected to the multi-channel power analyzer.

[0040] During the AC charging process of the whole vehicle, the current output by the AC charging pile passes through the vehicle charging interface and the on-board charger in turn and reaches the high-voltage distribution box, and is distributed by the high-voltage distribution box to form three branches. Among them, the output current of the high-voltage distribution box passes through the first branch to supply power to the high-voltage load; passes through the second branch to charge the power battery; passes through the third branch and is stepped down by the DC converter to supply power to the low-voltage load.

[0041] In this embodiment, the AC charging pile, vehicle charging interface, on-board charger, high-voltage distribution box, high-voltage load, power battery, DC converter, and low-voltage load are all integrated with corresponding ECUs (electronic control units). During the AC charging process, the ECU of each device is used to monitor its own working status data, which includes input or output voltage and current parameters and other data.

[0042] The on-board OBD diagnostic interface is connected to the ECU of each device through the CAN bus, so as to collect the working status data monitored by the ECU of each device. During the AC charging process, the on-board OBD diagnostic interface generates a diagnostic command based on the UDS diagnostic protocol and sends it to the ECU of each device through the CAN bus. After receiving the diagnostic command, the ECU starts self-checking to obtain its own working status data and feeds it back to the on-board OBD diagnostic interface. In this embodiment, the use of the CAN bus enables the on-board OBD diagnostic interface and the ECU of each device to be in parallel in the CAN network, which is convenient for the transmission of data signals and the data transmission speed is stable, ensuring that the data is not lost during the transmission process, thereby improving the accuracy of data collection. The UDS protocol is widely used in the field of vehicle fault diagnosis, has strong compatibility, and supports custom diagnostic services. Users can collect different data and verify them as needed, thereby improving the accuracy of collected data.

[0043] According to the above data collection and analysis system configuration and the analysis of the flow of vehicle power during AC charging, the multiple data collection points set between the various devices in this embodiment are as follows:

[0044] The first collection point is set at the output side of the AC charging pile, and is used to collect the voltage and current parameters output by the AC charging pile;

[0045] The second collection point is set at the output side of the vehicle charging interface, and is used to collect the voltage and current parameters output by the vehicle charging interface;

[0046] The third collection point is set at the output side of the vehicle charger, and is used to collect the voltage and current parameters output by the vehicle charger;

[0047] The fourth collection point is set at the high-voltage load input side, and is used to collect voltage and current parameters of the high-voltage load input;

[0048] The fifth collection point is set at the power battery input side, and is used to collect the voltage and current parameters of the power battery input;

[0049] The sixth collection point is set at the input side of the DC converter, and is used to collect voltage and current parameters of the DC converter input;

[0050] The seventh collection point is set at the output side of the DC converter, and is used to collect the voltage and current parameters output by the DC converter;

[0051] The eighth collection point is set on the vehicle OBD diagnostic interface to collect the working status data of each device's own monitoring. Each collection point occupies a channel respectively, and data is collected through a multi-channel power analyzer.

[0052] During the AC charging process of electric vehicles, the setting of multiple data collection points can cover different areas or objects, so as to obtain more comprehensive and complete data. Based on these data, the potential relationship between different factors can be more easily reflected. Especially for this embodiment, based on the input or output power of each device, the factors affecting the AC charging efficiency can be further analyzed while analyzing the AC charging efficiency.

[0053] At the same time, this embodiment also proposes an electric vehicle AC charging data collection and analysis method based on the above-mentioned electric vehicle AC charging data collection and analysis system, and the method includes the following steps:

[0054] Step S1, setting a plurality of data collection points on the transmission loop between the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load; setting a data collection point on the on-board OBD diagnostic interface;

[0055] Step S2, collecting data from each data collection point through a multi-channel power analyzer and performing analysis and processing;

[0056] Step S3: According to the processing result of step S2, the factors affecting the AC charging efficiency are quantified, and the factors affecting the AC charging efficiency include high-voltage circuit transmission loss, low-voltage load loss, high-voltage load loss, vehicle charger conversion efficiency, and DC converter conversion efficiency.

[0057] Specifically, in step S1 of this embodiment, the collection point arrangement of the system of this embodiment is referred to. The first to seventh collection points are set to respectively obtain the voltage and current parameters of the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load; at the same time, in order to improve the accuracy and reliability of the collected data, the eighth collection point is set to obtain the voltage and current parameters monitored by each device itself through the on-board OBD interface by communicating with each device of the vehicle.

[0058] For the data collected at the eighth collection point, step S2 of this embodiment includes: the multi-channel power analyzer compares the data collected from each collection point (i.e., the data collected from the first to the seventh collection points) with the working status data of each device obtained from the vehicle-mounted OBD diagnostic interface (the data collected from the eighth collection point). In the actual process, the error between the data collected by each device from the outside and the data monitored by itself will not be too large. Therefore, in this embodiment, the data collected from the first to the seventh collection points and the data collected from the eighth collection point form a redundant comparison relationship with each other, wherein the data whose error exceeds the preset error threshold during the comparison process is eliminated as abnormal data. The error threshold can be flexibly selected according to the actual situation during the specific implementation, and the present invention does not limit this. Finally, the accuracy of the data is improved by comparing and screening the data, thereby ensuring the reliability of the subsequent test results such as the charging efficiency calculation.

[0059] Furthermore, after screening the collected data from the first to seventh collection points, step S2 of this embodiment also includes: the multi-channel power analyzer integrates the voltage and current parameters collected from each collection point to obtain the input or output power of the corresponding device. The data obtained from the first to seventh collection points are integrated to obtain the following data: AC charging pile output power Q1, vehicle charging interface output power Q2, vehicle charger output power Q3, high-voltage load input power Q4, power battery input power Q5, DC converter input power Q6, DC converter output power Q7.

[0060] In step S of this embodiment, after the above data collection and calculation processing, quantitative data of the AC charging efficiency of the electric vehicle and the corresponding influencing factors can be obtained. Specifically, step S3 includes:

[0061] The charging efficiency of electric vehicles is quantified as: the quotient of the power battery input power Q5 and the AC charging pile output power Q1;

[0062] The high-voltage circuit transmission loss is quantified as: the difference between the on-board charger output power Q3 and the power battery input power Q5, plus the difference between the AC charging pile output power Q1 and the vehicle charging interface output power Q2;

[0063] The low voltage load loss is quantified as: the output power of the DC converter Q7;

[0064] The high-voltage load loss is quantified as: the input power of the high-voltage load Q4;

[0065] The conversion efficiency of the on-board charger is quantified as: the quotient of the on-board charger output power Q3 and the vehicle charging interface output power Q2;

[0066] The conversion efficiency of the DC converter is quantified as the quotient of the DC converter output power Q7 and the DC converter input power Q6.

[0067] After obtaining the quantitative data of the efficiency of the electric vehicle AC charging line and the corresponding influencing factors, we can fully understand the distribution of power loss of this model during the AC charging process, and provide guidance for subsequent performance optimization work such as efficiency improvement.

[0068] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. An electric vehicle AC charging data acquisition and analysis system, characterized in that: The system includes the following equipment: AC charging pile, vehicle charging interface, on-board charger, high-voltage distribution box, high-voltage load, power battery, DC converter, low-voltage load, multi-channel power analyzer, and on-board OBD diagnostic interface, among which: AC charging pile, vehicle charging interface, on-board charger, and high-voltage distribution box are connected in series in sequence; the high-voltage distribution box is also connected to the high-voltage load, power battery, and DC converter respectively; the DC converter is connected to the low-voltage load; the on-board OBD diagnostic interface is connected to the AC charging pile, vehicle charging interface, on-board charger, high-voltage distribution box, high-voltage load, power battery, DC converter, and low-voltage load respectively; multiple data collection points are set between each device, and multiple data collection points are respectively connected to the multi-channel power analyzer.

2. An electric vehicle AC charging data acquisition and analysis system according to claim 1, characterized in that: The AC charging pile, vehicle charging interface, on-board charger, high-voltage distribution box, high-voltage load, power battery, DC converter, and low-voltage load are all integrated with corresponding ECUs. The ECU of each device is used to monitor its own working status data, which includes input or output voltage and current parameters.

3. An electric vehicle AC charging data acquisition and analysis system according to claim 2, characterized in that: The vehicle OBD diagnostic interface is connected to the ECU of each device.

4. An electric vehicle AC charging data acquisition and analysis system according to claim 3, characterized in that: The ECU of each device is connected to the vehicle OBD diagnostic interface through the CAN bus.

5. An electric vehicle AC charging data acquisition and analysis system according to claim 4, characterized in that: The vehicle-mounted OBD diagnostic interface reads the working status data of each device's own monitoring based on the UDS diagnostic protocol.

6. An electric vehicle AC charging data acquisition and analysis system according to any one of claims 1 to 5, characterized in that: The first collection point is set at the output side of the AC charging pile, and is used to collect the voltage and current parameters output by the AC charging pile; The second collection point is set at the output side of the vehicle charging interface, and is used to collect the voltage and current parameters output by the vehicle charging interface; The third collection point is set at the output side of the vehicle charger, and is used to collect the voltage and current parameters output by the vehicle charger; The fourth collection point is set at the high-voltage load input side, and is used to collect voltage and current parameters of the high-voltage load input; The fifth collection point is set at the power battery input side, and is used to collect the voltage and current parameters of the power battery input; The sixth collection point is set at the input side of the DC converter, and is used to collect voltage and current parameters of the DC converter input; The seventh collection point is set at the output side of the DC converter, and is used to collect the voltage and current parameters output by the DC converter; The eighth collection point is set on the vehicle-mounted OBD diagnostic interface and is used to collect the working status data of each device's own monitoring.

7. An electric vehicle AC charging data acquisition and analysis method according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: Step S1, setting a plurality of data collection points on the transmission loop between the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter, and the low-voltage load; setting a data collection point on the on-board OBD diagnostic interface; Step S2, collecting data from each data collection point through a multi-channel power analyzer and performing analysis and processing; Step S3: According to the processing result of step S2, the factors affecting the AC charging efficiency are quantified, and the factors affecting the AC charging efficiency include high-voltage circuit transmission loss, low-voltage load loss, high-voltage load loss, vehicle charger conversion efficiency, and DC converter conversion efficiency.

8. A method for collecting and analyzing electric vehicle AC charging data according to claim 7, characterized in that: Step S2 includes: the multi-channel power analyzer compares the data collected from each collection point with the working status data of each device obtained from the vehicle-mounted OBD diagnostic interface, wherein the data whose error exceeds a preset error threshold during the comparison process is removed as abnormal data.

9. A method for collecting and analyzing electric vehicle AC charging data according to claim 8, characterized in that: Step S2 includes: the multi-channel power analyzer integrates the voltage and current parameters collected at each collection point to obtain the input or output power of the corresponding device.

10. A method for collecting and analyzing electric vehicle AC charging data according to claim 9, characterized in that: Step S3 includes: The charging efficiency of electric vehicles is quantified as the quotient of the power input of the power battery and the power output of the AC charging pile; The high-voltage circuit transmission loss is quantified as: the difference between the output power of the on-board charger and the input power of the power battery, plus the difference between the output power of the AC charging pile and the output power of the vehicle charging interface; The low voltage load loss is quantified as: the output power of the DC converter; The high voltage load loss is quantified as: the input power of the high voltage load. The conversion efficiency of the on-board charger is quantified as: the quotient of the output power of the on-board charger and the output power of the vehicle charging interface; The conversion efficiency of the DC converter is quantified as the quotient of the DC converter output power and the DC converter input power.

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