Energy recovery monitoring method, device, vehicle and storage medium for electric vehicle

Abstract

The present application discloses an energy recovery monitoring method, device, vehicle and storage medium for an electric vehicle. The method includes: collecting the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal and the vehicle weight signal; calculating the actual braking energy conversion efficiency, the actual braking energy recovery rate and the actual proportion of recoverable braking energy of the electric vehicle; and generating energy recovery monitoring data. Thus, the technical problems in the related art are solved, such as being carried out in a specific roller laboratory, resulting in only being able to record limited data during the test process, being unable to ensure the comprehensiveness and effectiveness of the experiment during the experiment process, reducing the real-time nature of problem discovery, making it impossible to make a quick response, being unable to meet the test requirements of electric vehicles, and having low real-time nature and practicality of the test.

Description

Technical Field

[0001] This application relates to the technical field of electric vehicles, and particularly to an energy recovery monitoring method, device, vehicle, and storage medium for an electric vehicle. Background Art

[0002] Currently, compared with traditional vehicles, electric vehicles equipped with a braking energy recovery system can convert some of the braking energy into mechanical and electrical energy during braking, and finally store it in the power battery in the form of chemical energy, thereby improving the energy utilization rate and driving range of electric vehicles.

[0003] In related technologies, the driving range test of electric vehicles is generally carried out in a specific chassis dynamometer laboratory, and some signals such as temperature, current, voltage, and some rotational speeds and motor torques transmitted on the CAN line can be recorded during the test.

[0004] However, related technologies cannot directly read data such as the battery discharge amount and energy recovery during the cycle test of electric vehicles. Specific calibration software needs to be used to collect the required data, and relevant data is analyzed and processed after the driving range experiment ends. This results in the inability to ensure the comprehensiveness and effectiveness of the experiment during the experiment, and the inability to ensure that everything is normal during the experiment process, reducing the real-time discovery of problems, making it impossible to respond quickly, unable to meet the test requirements of electric vehicles, and the real-time and practicality of the test are relatively low, which urgently needs to be improved. Summary of the Invention

[0005] This application provides an energy recovery monitoring method, device, vehicle, and storage medium for an electric vehicle to solve the technical problems such as only being able to record limited data during the test due to being carried out in a specific chassis dynamometer laboratory, being unable to ensure the comprehensiveness and effectiveness of the experiment during the experiment process, reducing the real-time discovery of problems, making it impossible to respond quickly, unable to meet the test requirements of electric vehicles, and the real-time and practicality of the test being relatively low.

[0006] The first aspect embodiment of this application provides an energy recovery monitoring method for an electric vehicle, including the following steps: collecting the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal; calculating the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy of the electric vehicle according to the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal; and generating energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy.

[0007] Optionally, in an embodiment of the present application, the method of the embodiment of the present application further includes: displaying the energy recovery monitoring data on a preset terminal; and / or, detecting whether the energy recovery monitoring data meets an alarm condition, and when it is detected that the alarm condition is met, controlling the preset terminal to perform an abnormal alarm.

[0008] Optionally, in an embodiment of the present application, the method of the embodiment of the present application further includes: generating a current performance report of the electric vehicle according to the energy recovery monitoring data; comparing the current performance report with a preset standard performance report, and determining whether the electric vehicle meets the factory conditions based on the comparison result.

[0009] Optionally, in an embodiment of the present application, the collection of the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal includes: respectively performing a multiplication process on the actual charging voltage and the actual power charging current of the power battery, and performing an integral solution on the corresponding multiplication value to obtain the charging voltage of the power battery and the charging current of the power battery; respectively performing data processing on the actual output torque and the actual output speed of the drive motor according to the mutual relationship between the torque and the speed, and performing an integral solution on the corresponding processed value to obtain the output torque of the drive motor and the output current of the drive motor. According to the mutual relationship between the kinetic energy of the vehicle and the speed and the mass, respectively perform data solution on the vehicle speed signal and the vehicle weight signal, and perform an integral solution on the corresponding solution value to obtain the vehicle speed signal and the vehicle weight signal.

[0010] Optionally, in an embodiment of the present application, the calculation of the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy of the electric vehicle according to the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal includes: performing a secondary solution on the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, and the output current of the drive motor to obtain the braking energy conversion efficiency. The calculation formula of the braking energy conversion efficiency is:

[0011]

[0012] In the formula, U is the charging voltage of the drive battery, and I is the charging current of the drive battery;

[0013] Perform a secondary solution on the charging voltage of the power battery, the charging current of the power battery, the vehicle speed signal, and the vehicle weight signal to obtain the braking energy recovery rate. The calculation formula for the braking energy recovery rate is as follows:

[0014]

[0015] In the formula, U is the charging voltage of the drive battery, I is the charging current of the drive battery, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed;

[0016] Perform a secondary solution on the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal to obtain the proportion of recoverable braking energy. The calculation formula for the proportion of recoverable braking energy is as follows:

[0017]

[0018] In the formula, T is the half - shaft torque, n is the half - shaft speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0019] In the second - aspect embodiment of the present application, an energy recovery monitoring device for an electric vehicle is provided, including: a collection module for collecting the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal; a calculation module for calculating the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy of the electric vehicle according to the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal; and a monitoring module for generating energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy.

[0020] Optionally, in an embodiment of the present application, the acquisition module includes: a first solution unit, configured to perform multiplication processing on the actual charging voltage and the actual dynamic charging current of the power battery respectively, and perform integral solution on the corresponding multiplication values to obtain the charging voltage of the power battery and the charging current of the power battery; a second solution unit, configured to perform data processing on the actual output torque and the actual output speed of the drive motor according to the mutual relationship between torque and speed respectively, and perform integral solution on the corresponding processed values to obtain the output torque of the drive motor and the output current of the drive motor; a third solution unit, configured to perform data solution on the vehicle speed signal and the vehicle weight signal respectively according to the mutual relationship between the vehicle kinetic energy, speed, and mass, and perform integral solution on the corresponding solution values to obtain the vehicle speed signal and the vehicle weight signal.

[0021] Optionally, in an embodiment of the present application, the calculation module includes: a fourth solution unit, configured to perform secondary solution on the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, and the output current of the drive motor to obtain the braking energy conversion efficiency, and the calculation formula of the braking energy conversion efficiency is:

[0022]

[0023] In the formula, U is the charging voltage of the drive battery, and I is the charging current of the drive battery;

[0024] A fifth solution unit, configured to perform secondary solution on the charging voltage of the power battery, the charging current of the power battery, the vehicle speed signal, and the vehicle weight signal to obtain the braking energy recovery rate, and the calculation formula of the braking energy recovery rate is:

[0025]

[0026] In the formula, U is the charging voltage of the drive battery, I is the charging current of the drive battery, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed;

[0027] A sixth solution unit, configured to perform secondary solution on the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal to obtain the proportion of recoverable braking energy, and the calculation formula of the proportion of recoverable braking energy is:

[0028]

[0029] In the formula, T is the half - shaft torque, n is the half - shaft speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0030] Optionally, in an embodiment of the present application, the device in the embodiment of the present application further includes: displaying the energy recovery monitoring data on a preset terminal; and / or, detecting whether the energy recovery monitoring data meets an alarm condition, and when it is detected that the alarm condition is met, controlling the preset terminal to perform an abnormal alarm.

[0031] Optionally, in an embodiment of the present application, the device in the embodiment of the present application further includes: generating a current performance report of the electric vehicle according to the energy recovery monitoring data; comparing the current performance report with a preset standard performance report, and determining whether the electric vehicle meets the factory conditions based on the comparison result.

[0032] An embodiment of the third aspect of the present application provides a vehicle, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the energy recovery monitoring method of the electric vehicle as described in the above embodiment.

[0033] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium, and the computer-readable storage medium stores computer instructions for causing the computer to execute the energy recovery monitoring method of the electric vehicle as described in the above embodiment.

[0034] Therefore, the present application has at least the following beneficial effects:

[0035] In the embodiment of the present application, the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual recoverable proportion of braking energy are calculated from the battery charging voltage, the battery charging current, the drive motor output torque, the drive motor output current, the vehicle speed signal, and the vehicle weight signal, so as to obtain the energy recovery monitoring data, effectively ensuring the comprehensiveness and effectiveness of the experiment during the experiment process, ensuring that everything in the experiment process is normal, improving the real-time detection of problems, making a timely and rapid response, effectively meeting the test requirements of electric vehicles, and enhancing the real-time and practicality of the test. Thus, the technical problems in the related art are solved, such as only being able to record limited data during the test process due to being carried out in a specific roller laboratory, being unable to ensure the comprehensiveness and effectiveness of the experiment during the experiment process, reducing the real-time detection of problems, making it impossible to make a rapid response, being unable to meet the test requirements of electric vehicles, and having low real-time and practicality of the test.

[0036] The additional aspects and advantages of the present application will be partly given in the following description, partly will become obvious from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0038] Figure 1 Flow chart of an energy recovery monitoring method for an electric vehicle provided according to an embodiment of the present application;

[0039] Figure 2 Schematic diagram of the principle of an energy recovery monitoring method for an electric vehicle provided according to an embodiment of the present application;

[0040] Figure 3 Schematic diagram of the principle of an energy recovery monitoring method for an electric vehicle provided according to a specific embodiment of the present application;

[0041] Figure 4 Schematic diagram of the structure of an energy recovery monitoring device for an electric vehicle provided according to an embodiment of the present application;

[0042] Figure 5 Schematic diagram of the structure of an electronic device provided according to an embodiment of the application. Specific Embodiments

[0043] The embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, but should not be construed as a limitation to the present application.

[0044] The energy recovery monitoring method, device, vehicle and storage medium of an electric vehicle according to an embodiment of the present application will be described below with reference to the accompanying drawings. In view of the problems mentioned in the above background art, the present application provides an energy recovery monitoring method for an electric vehicle. In this method, the actual braking energy conversion efficiency, the actual braking energy recovery rate and the actual proportion of recoverable braking energy are calculated from the power battery charging voltage, the power battery charging current, the drive motor output torque, the drive motor output current, the vehicle speed signal and the vehicle weight signal, so as to obtain the energy recovery monitoring data, effectively ensuring the comprehensiveness and effectiveness of the experiment during the experiment process, ensuring that everything is normal during the experiment process, improving the real-time detection of problems, making a timely and rapid response, effectively meeting the test requirements of electric vehicles, and enhancing the real-time and practicality of the test. Thus, the technical problems in the related art are solved, such as being carried out in a specific chassis dynamometer laboratory, resulting in only limited data being recorded during the test process, being unable to ensure the comprehensiveness and effectiveness of the experiment during the experiment process, reducing the real-time detection of problems, making it impossible to make a rapid response, being unable to meet the test requirements of electric vehicles, and having low real-time and practicality of the test.

[0045] Specifically, Figure 1 Flow chart of an energy recovery monitoring method for an electric vehicle provided according to an embodiment of the present application.

[0046] As shown Figure 1 in the figure, the energy recovery monitoring method of the electric vehicle includes the following steps:

[0047] In step S101, the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal are collected.

[0048] In an embodiment of the present application, as Figure 2 shown in the figure, the embodiment of the present application can collect relevant output signals of important power transmission system components on the vehicle shown in the figure through a data acquisition device, such as signal acquisition sensors (voltage sensors, current sensors, torque sensors, speed sensors, weight sensors, etc.) installed in the vehicle, and record but not limited to the power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, vehicle weight signal, etc. obtained by the data acquisition device.

[0049] It should be noted that the above power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal are all actual signal values directly obtained by the acquisition sensors for the following energy recovery monitoring. Different from the data acquisition implemented by a specific calibration software for the required data, the embodiment of the present application does not require the vehicle to additionally increase an acquisition device, does not require additional costs, effectively utilizes the vehicle's own data, and is simple and easy to implement.

[0050] Optionally, in an embodiment of the present application, collecting the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal includes: respectively performing a multiplication process on the actual charging voltage and actual power charging current of the power battery, and performing an integral solution on the corresponding multiplication value to obtain the power battery charging voltage and the power battery charging current; respectively performing data processing on the actual output torque and actual output speed of the drive motor according to the mutual relationship between torque and speed, and performing an integral solution on the corresponding processed value to obtain the drive motor output torque and the drive motor output current; respectively performing a data solution on the vehicle speed signal and the vehicle weight signal according to the mutual relationship between the vehicle kinetic energy and speed, mass, and performing an integral solution on the corresponding solution value to obtain the vehicle speed signal and the vehicle weight signal.

[0051] It can be understood that there are many ways of collection. For example, it can be directly obtained through the corresponding sensors, or after obtaining data such as the actual charging voltage and actual charging current of the power battery of the electric vehicle, other test data information of the vehicle can be further obtained. For example, in the embodiments of the present application, the above data signals are used as initial parameters and subjected to signal conversion through a pre-compiled signal processing program.

[0052] For example, the specific signal conversion can be as follows: during the vehicle driving process, the discharge current of the above power battery is negative, and the charging current is positive. As Figure 3 shown, the processor 1 directly obtains the actual charging voltage and actual charging current data of the power battery through the above sensors, and performs relevant quadrature processing on the data, and then performs integral solution on its value to obtain the charging voltage and charging current of the power battery; similarly, the processor 2 processes the actual output torque and actual output speed of the drive motor transmitted on the above CAN network according to the mutual relationship between torque and speed, and then performs integral solution on its value to obtain the output torque and output current of the drive motor; in addition, the processor 3 collects the vehicle speed signal and vehicle weight signal, and performs data solution according to the mutual relationship between the vehicle kinetic energy, speed, and mass, and performs integral solution on the solution value to obtain the vehicle speed signal and vehicle weight signal.

[0053] In step S102, calculate the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual recoverable proportion of braking energy of the electric vehicle according to the charging voltage of the power battery, charging current of the power battery, output torque of the drive motor, output current of the drive motor, vehicle speed signal, and vehicle weight signal.

[0054] Those skilled in the art can understand that in order to further improve and optimize the energy utilization rate and driving range of electric vehicles, testers need to obtain and analyze experimental data related to energy utilization rate and driving range in real time during the experimental test process, and this part of data cannot be directly obtained from sensors. Therefore, the embodiments of the present application further process the obtained charging voltage of the power battery, charging current of the power battery, output torque of the drive motor, output current of the drive motor, vehicle speed signal, and vehicle weight signal to further obtain experimental data directly related to the vehicle energy utilization rate and driving range.

[0055] Optionally, in an embodiment of the present application, the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual proportion of recoverable braking energy of an electric vehicle are calculated based on the power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal, including: performing a second-order solution on the power battery charging voltage, power battery charging current, drive motor output torque, and drive motor output current to obtain the braking energy conversion efficiency. The calculation formula for the braking energy conversion efficiency is:

[0056]

[0057] In the formula, U is the drive battery charging voltage, and I is the drive battery charging current;

[0058] Performing a second-order solution on the power battery charging voltage, power battery charging current, vehicle speed signal, and vehicle weight signal to obtain the braking energy recovery rate. The calculation formula for the braking energy recovery rate is:

[0059]

[0060] In the formula, U is the drive battery charging voltage, I is the drive battery charging current, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed;

[0061] Performing a second-order solution on the drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal to obtain the proportion of recoverable braking energy. The calculation formula for the proportion of recoverable braking energy is:

[0062]

[0063] In the formula, T is the half-axis torque, n is the half-axis speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0064] In the actual execution process, during the vehicle braking energy recovery process, the embodiments of the present application can focus on relevant data such as the battery discharge amount, recovered power, and energy recovery rate required by the experimenter. Specifically, through a series of digital solutions and signal processing on the initial data such as the actual charging voltage and actual charging current of the power battery, key data such as the energy recovery rate, proportion of recoverable energy, and braking recovery efficiency are obtained, enabling the test personnel to analyze and judge in a timely manner.

[0065] For example, after obtaining the above-mentioned power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal, a secondary solution is performed on the power battery charging voltage, power battery charging current, drive motor output torque, and drive motor output current to obtain the braking energy conversion efficiency.

[0066] Specifically, the calculation of the above-mentioned braking energy conversion efficiency is shown in the following formula:

[0067]

[0068] Where, U is the drive battery charging voltage, and I is the drive battery charging current;

[0069] A secondary solution is performed on the power battery charging voltage, power battery charging current, vehicle speed signal, and vehicle weight signal to obtain the braking energy recovery rate, and its calculation formula is shown as follows:

[0070]

[0071] Where, U is the drive battery charging voltage, I is the drive battery charging current, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed;

[0072] A secondary solution is performed on the drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal, as shown in the following formula, to obtain the proportion of recoverable braking energy:

[0073]

[0074] In the formula, T is the half-axis torque, n is the half-axis speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0075] Among them, the braking energy recovery rate of an electric vehicle is generally reflected by the final recovered electric quantity stored in the drive battery. It takes into account all the influencing factors during the process of braking energy being transmitted from the wheels to the drive battery, and reflects the actual braking energy recovery efficiency of the electric vehicle; the proportion of recoverable energy generally refers to that during the braking process, after the braking force distribution control strategy, in addition to overcoming the rolling friction resistance of the tires and air resistance during the braking process, the remaining braking energy is transmitted from the drive wheels to the half-axis and exists in the form of mechanical energy, and this part of the energy can be recovered and reused; the braking energy conversion efficiency generally refers to the proportion of the mechanical energy on the half-axis being converted into electrical energy efficiency through the transmission system and power generation system.

[0076] In step S103, energy recovery monitoring data is generated based on the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual proportion of recoverable braking energy.

[0077] As an implementable manner, embodiments of the present application can develop a platform system, such as a data analysis and monitoring platform, etc., to perform operations such as collection and processing of the above signals, integral solution, quadratic solution, etc., and finally output three important signals: braking conversion efficiency, energy recovery rate, and the proportion of recoverable energy.

[0078] Specifically, in an embodiment of the present application, on a preset terminal, energy recovery monitoring data is displayed; and / or, it is detected whether the energy recovery monitoring data meets an alarm condition, and when it is detected that the alarm condition is met, the preset terminal is controlled to perform an abnormal alarm.

[0079] After the embodiments of the present application obtain data on the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual proportion of recoverable braking energy, they can respectively display three important parameters, namely the braking energy conversion efficiency, braking energy recovery rate, and proportion of recoverable braking energy, through a preset terminal device such as a monitoring display platform, for test personnel to monitor and perform relevant analysis.

[0080] In addition, the embodiments of the present application can also detect in real time whether the energy recovery monitoring data meets an alarm condition, such as whether the data exceeds a certain threshold or is abnormal, and when it is detected that the alarm condition is met, control the terminal device, etc., to perform an abnormal alarm, so as to ensure that test personnel can promptly discover abnormalities and perform corresponding processing, guarantee the safety and reliability of the vehicle, and guarantee the feasibility of the experiment.

[0081] For example, testers can preset abnormal value thresholds for the braking energy conversion efficiency, braking energy recovery rate, and actual proportion of recoverable braking energy, and set an alarm mechanism. That is, according to the actual situation, it can be set that when any one of the above parameter values is lower than or exceeds the abnormal value threshold and an abnormality occurs, then the embodiments of the present application can control the terminal, such as a monitoring display platform, etc., to perform an alarm, and even stop the test to avoid experimental accidents; in addition, those skilled in the art can also set according to the actual situation that when any two parameter values are lower than the corresponding abnormal value thresholds and an abnormality occurs, the embodiments of the present application can control the terminal to perform an alarm. For example, in the case where when any one of the above parameter values is lower than the abnormal value threshold, the monitoring platform immediately issues an alarm and stops the test, the abnormal value threshold of the braking energy conversion efficiency is set to 70%. If the actually obtained braking energy conversion efficiency is 50%, the monitoring platform can send an alarm signal through a buzzer, etc., and stop the test at the same time. Here, those skilled in the art can set according to the actual situation, and no specific limitation is made here.

[0082] Optionally, in an embodiment of the present application, a current performance report of the electric vehicle is generated according to the energy recovery monitoring data; the current performance report is compared with a preset standard performance report, and based on the comparison result, it is determined whether the electric vehicle meets the factory conditions.

[0083] As an implementable approach, before obtaining key data such as the battery discharge amount, recovered power, and energy recovery rate required by the experimenter and displaying them through the terminal, a preset standard performance report can be formed for various aspects of the tested vehicle, such as the braking energy conversion efficiency and braking energy recovery rate, according to the specific actual situation. And generate the current performance report of the electric vehicle based on the energy recovery monitoring data; compare the current performance report with the preset standard performance report, and determine whether the electric vehicle meets the factory conditions according to the comparison result.

[0084] According to the energy recovery monitoring method of the electric vehicle proposed in the embodiments of the present application, by collecting the battery charging voltage, battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal of the electric vehicle; calculating the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual braking energy recoverable ratio of the electric vehicle according to the battery charging voltage, battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal; generating energy recovery monitoring data based on the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual braking energy recoverable ratio, the embodiments of the present application have functions such as automatic testing, automatic analysis, data processing, and user monitoring management, realizing real-time data collection and analysis processing, so that the test personnel can timely analyze and judge the relevant test data, confirm whether everything is normal during the test process, and ensure the comprehensiveness and effectiveness of the test.

[0085] Secondly, the energy recovery monitoring device of the electric vehicle proposed in the embodiments of the present application is described with reference to the accompanying drawings.

[0086] Figure 4 It is a block diagram of the energy recovery monitoring device of the electric vehicle in the embodiments of the present application.

[0087] As Figure 4 shown, the energy recovery monitoring device 10 of the electric vehicle includes: a collection module 100, a calculation module 200, and a monitoring module 300.

[0088] Specifically, the collection module 100 is used to collect the battery charging voltage, battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal of the electric vehicle;

[0089] The calculation module 200 is used to calculate the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual braking energy recoverable ratio of the electric vehicle according to the battery charging voltage, battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal; and

[0090] The monitoring module 300 is configured to generate energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy.

[0091] Optionally, in an embodiment of the present application, the acquisition module 100 includes: a first solving unit, a second solving unit, and a third solving unit.

[0092] The first solving unit is configured to perform a multiplication process on the actual charging voltage and the actual dynamic charging current of the power battery respectively, and perform an integral solution on the corresponding multiplication value to obtain the charging voltage of the power battery and the charging current of the power battery.

[0093] The second solving unit is configured to perform data processing on the actual output torque and the actual output speed of the drive motor respectively according to the mutual relationship between torque and speed, and perform an integral solution on the corresponding processed value to obtain the output torque of the drive motor and the output current of the drive motor.

[0094] The third solving unit is configured to perform data solving on the vehicle speed signal and the vehicle weight signal respectively according to the mutual relationship between the vehicle kinetic energy, speed, and mass, and perform an integral solution on the corresponding solved value to obtain the vehicle speed signal and the vehicle weight signal.

[0095] Optionally, in an embodiment of the present application, the calculation module 200 includes:

[0096] The fourth solving unit is configured to perform a secondary solution on the charging voltage of the power battery, the charging current of the power battery, the output torque of the drive motor, and the output current of the drive motor to obtain the braking energy conversion efficiency. The calculation formula of the braking energy conversion efficiency is:

[0097]

[0098] In the formula, U is the charging voltage of the drive battery, and I is the charging current of the drive battery.

[0099] The fifth solving unit is configured to perform a secondary solution on the charging voltage of the power battery, the charging current of the power battery, the vehicle speed signal, and the vehicle weight signal to obtain the braking energy recovery rate. The calculation formula of the braking energy recovery rate is:

[0100]

[0101] In the formula, U is the charging voltage of the drive battery, I is the charging current of the drive battery, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0102] The sixth solving unit is used to perform secondary solving on the output torque of the driving motor, the output current of the driving motor, the vehicle speed signal, and the vehicle weight signal to obtain the proportion of recoverable braking energy. The calculation formula for the proportion of recoverable braking energy is as follows:

[0103]

[0104] In the formula, T is the half - shaft torque, n is the half - shaft speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed.

[0105] Optionally, in an embodiment of the present application, the device of the embodiment of the present application further includes: displaying energy recovery monitoring data on a preset terminal; and / or, detecting whether the energy recovery monitoring data meets the alarm condition, and when it is detected that the alarm condition is met, controlling the preset terminal to perform an abnormal alarm.

[0106] Optionally, in an embodiment of the present application, the device of the embodiment of the present application further includes: generating a current performance report of the electric vehicle according to the energy recovery monitoring data; comparing the current performance report with a preset standard performance report, and determining whether the electric vehicle meets the factory - out conditions based on the comparison result.

[0107] It should be noted that the foregoing explanation of the embodiment of the energy recovery monitoring method for electric vehicles also applies to the energy recovery monitoring device for electric vehicles in this embodiment, and will not be elaborated here.

[0108] According to the energy recovery monitoring device for electric vehicles proposed in the embodiment of the present application, by collecting the charging voltage of the power battery of the electric vehicle, the charging current of the power battery, the output torque of the driving motor, the output current of the driving motor, the vehicle speed signal, and the vehicle weight signal; calculating the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy of the electric vehicle according to the charging voltage of the power battery, the charging current of the power battery, the output torque of the driving motor, the output current of the driving motor, the vehicle speed signal, and the vehicle weight signal; generating energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual proportion of recoverable braking energy, the embodiment of the present application has functions such as automatic testing, automatic analysis, data processing, user monitoring and management, etc., realizing real - time data collection and analysis processing, so that the test personnel can timely analyze and judge the relevant test data, confirm whether everything is normal during the test process, and ensure the comprehensiveness and effectiveness of the test.

[0109] Figure 5 It is a schematic structural diagram of the vehicle provided by the embodiment of the present application. The vehicle may include:

[0110] A memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.

[0111] When the processor 502 executes a program, it implements the energy recovery monitoring method for an electric vehicle provided in the above embodiments.

[0112] Furthermore, the vehicle further includes:

[0113] A communication interface 503, which is used for communication between the memory 501 and the processor 502.

[0114] A memory 501, which is used to store a computer program that can run on the processor 502.

[0115] The memory 501 may include a high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.

[0116] If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 can be interconnected through a bus and complete communication with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 5 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0117] Optionally, in specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 can complete communication with each other through an internal interface.

[0118] The processor 502 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0119] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the above energy recovery monitoring method for an electric vehicle.

[0120] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc., mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or N embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0121] In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0122] Any process or method description shown in a flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more N executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in the reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the art of the embodiments of this application.

[0123] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection part (electronic device) having one or N wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0124] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0125] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of implementing the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0126] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist separately as individual physical units, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0127] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for monitoring energy recovery of an electric vehicle, characterized in that: The following steps are involved: Collect the electric vehicle's power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal and vehicle weight signal; Calculate the actual braking energy conversion efficiency, actual braking energy recovery rate, and actual braking energy recoverable ratio of the electric vehicle according to the power battery charging voltage, the power battery charging current, the drive motor output torque, the drive motor output current, the vehicle speed signal, and the vehicle weight signal; as well as generating energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual braking energy recoverable ratio; The method of collecting the electric vehicle's power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal includes: Performing integration processing on the actual charging voltage and the actual power charging current of the power battery respectively, and integrating and solving the corresponding integrated values to obtain the power battery charging voltage and the power battery charging current; Performing data processing on the actual output torque and actual output speed of the drive motor according to the relationship between the torque and the speed, and integrating and solving the corresponding processed values to obtain the output torque and output current of the drive motor; The vehicle speed signal and the vehicle weight signal are respectively solved for data according to the relationship between the kinetic energy, speed, and mass of the vehicle, and the corresponding solution values are integrated and solved to obtain the vehicle speed signal and the vehicle weight signal; The actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual braking energy recoverable ratio of the electric vehicle are calculated according to the power battery charging voltage, the power battery charging current, the drive motor output torque, the drive motor output current, the vehicle speed signal, and the vehicle weight signal, including: performing a secondary solution on the power battery charging voltage, the power battery charging current, the drive motor output torque, and the drive motor output current to obtain the braking energy conversion efficiency. The calculation formula of the braking energy conversion efficiency is: Where U is the driving battery charging voltage, and I is the driving battery charging current; The power battery charging voltage, the power battery charging current, the vehicle speed signal, and the vehicle weight signal are solved twice to obtain the braking energy recovery rate. The calculation formula of the braking energy recovery rate is: Where U is the driving battery charging voltage, I is the driving battery charging current, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed; A secondary solution is performed on the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal to obtain the percentage of recoverable braking energy. The calculation formula for the percentage of recoverable braking energy is: Where T is the half-shaft torque, n is the half-shaft speed, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed; The energy recovery monitoring method of the electric vehicle further comprises: Displaying the energy recovery monitoring data on a preset terminal; and / or detecting whether the energy recovery monitoring data satisfies an alarm condition, and controlling the preset terminal to issue an abnormality alarm when it is detected that the alarm condition is satisfied; The energy recovery monitoring method of the electric vehicle further comprises: generating a current performance report of the electric vehicle based on the energy recovery monitoring data; The current performance report is compared with a preset standard performance report, and based on the comparison result, it is determined whether the electric vehicle meets the factory conditions.

2. An energy recovery monitoring device for an electric vehicle, characterized in that: include: An acquisition module is used to collect the electric vehicle's power battery charging voltage, power battery charging current, drive motor output torque, drive motor output current, vehicle speed signal, and vehicle weight signal; a calculation module, configured to calculate the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual braking energy recoverable ratio of the electric vehicle based on the power battery charging voltage, the power battery charging current, the drive motor output torque, the drive motor output current, the vehicle speed signal, and the vehicle weight signal; as well as a monitoring module, configured to generate energy recovery monitoring data based on the actual braking energy conversion efficiency, the actual braking energy recovery rate, and the actual braking energy recoverable ratio; Wherein, the acquisition module includes: a first solving unit, configured to respectively perform product processing on the actual charging voltage and the actual power charging current of the power battery, and integrate and solve the corresponding product values to obtain the power battery charging voltage and the power battery charging current; a second solving unit, configured to process the actual output torque and the actual output speed of the drive motor according to a relationship between the torque and the speed, and integrate and solve the corresponding processed values to obtain the output torque and the output current of the drive motor; a third solving unit, configured to solve data for the vehicle speed signal and the vehicle weight signal respectively according to the relationship between the kinetic energy, speed, and mass of the vehicle, and integrate and solve the corresponding solved values to obtain the vehicle speed signal and the vehicle weight signal; The calculation module includes: The fourth solving unit is configured to perform a secondary solution on the power battery charging voltage, the power battery charging current, the drive motor output torque, and the drive motor output current to obtain the braking energy conversion efficiency. The calculation formula for the braking energy conversion efficiency is: Where U is the driving battery charging voltage, and I is the driving battery charging current; a fifth solving unit, configured to perform a secondary solution on the power battery charging voltage, the power battery charging current, the vehicle speed signal, and the vehicle weight signal to obtain the braking energy recovery rate, wherein the calculation formula of the braking energy recovery rate is: Where U is the driving battery charging voltage, I is the driving battery charging current, m is the vehicle mass, v0 is the initial braking speed, and v1 is the final braking speed; a sixth solving unit, configured to perform a secondary solution on the output torque of the drive motor, the output current of the drive motor, the vehicle speed signal, and the vehicle weight signal to obtain the percentage of recoverable braking energy, wherein the calculation formula for the percentage of recoverable braking energy is: Where T is the half-shaft torque, n is the half-shaft speed, m is the vehicle mass, v0 is the initial braking velocity, and v1 is the final braking velocity.

3. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the energy recovery monitoring method for an electric vehicle as claimed in claim 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the energy recovery monitoring method for an electric vehicle as claimed in claim 1 .

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