Method, device, equipment and medium for intelligent driving vehicle testing

Abstract

The invention relates to the technical field of vehicle testing, and discloses an intelligent driving vehicle testing method, device, equipment and medium, and the method comprises the steps: simulating a testing weather environment condition, and obtaining the voltage information, current information and testing time information of a power battery of a tested intelligent driving vehicle under the testing weather environment condition; on the basis of the voltage information, the current information and the test time information, determining the actual electricity consumption power and the average electricity consumption power of the tested intelligent driving vehicle, and on the basis of the actual electricity consumption power and the average electricity consumption power, determining the electricity consumption index of the power battery; and obtaining a test result of the power battery based on the power utilization index. According to the invention, the voltage information, the current information and the test time information are analyzed and judged, the performance of the power battery of the tested intelligent driving vehicle under the test weather environment condition is obtained, and the test accuracy of the tested intelligent driving vehicle can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle testing technology, and in particular to a method, device, equipment and medium for intelligent driving vehicle testing. Background Art

[0002] With the progress of information and intelligence in human society, the application of intelligent driving cars has become one of the important indicators of a country's social civilization and scientific and technological progress. However, the current complex traffic conditions, vehicle congestion and frequent traffic accidents have brought great challenges to the application of vehicle intelligent driving technology and the development of the smart car industry.

[0003] Smart driving vehicles are emerging. The time cost of road testing, the tolerance of laws and regulations of various countries for autonomous driving, the safety of testing in extreme scenarios and dangerous conditions, and the different road traffic environments and habits in various countries all bring many difficulties to the development and testing of autonomous driving systems. The smart driving vehicle testing system in related technologies often focuses on testing in clear weather and lacks data analysis for extreme weather scenarios such as rain and snow, resulting in unknown performance of the smart driving vehicle testing system in extreme weather scenarios, which in turn affects the accuracy of the smart driving vehicle testing system. Summary of the invention

[0004] In view of this, the present invention provides a method, device, equipment and medium for intelligent driving vehicle testing to solve the problem that the intelligent driving vehicle testing system in the related art lacks data analysis for extreme weather scenarios such as rain and snow, resulting in unknown performance of the intelligent driving vehicle testing system in extreme weather scenarios, thereby affecting the accuracy of the intelligent driving vehicle testing system.

[0005] In a first aspect, the present invention provides a method for testing an intelligent driving vehicle, the method comprising: simulating test weather environment conditions, and obtaining voltage information, current information and test time information of a power battery of the intelligent driving vehicle under test under the test weather environment conditions; determining the actual power consumption and average power consumption of the intelligent driving vehicle under test based on the voltage information, the current information and the test time information, and determining a power consumption index of the power battery based on the actual power consumption and the average power consumption; and obtaining a test result of the power battery based on the power consumption index.

[0006] In an optional implementation, the method further includes: obtaining temperature information and humidity information of the environment in which the tested intelligent driving vehicle is located under the test weather environment conditions; and determining the environmental impact coefficient α by the following formula:

[0007]

[0008] Among them, t is the test duration, T i is the temperature of the test environment at the ith second during the test of the intelligent driving vehicle under test; T max is the maximum temperature of the test environment during the test of the intelligent driving vehicle under test; T min is the minimum temperature of the test environment during the test of the intelligent driving vehicle under test; T e is the preset temperature value; wet i wet is the humidity of the test environment at the ith second during the test of the intelligent driving vehicle under test; max The maximum humidity of the test environment during the test of the intelligent driving vehicle under test; wet e is a preset humidity value; based on the environmental impact coefficient and the electricity consumption index, the test result is determined.

[0009] In an optional implementation, determining the actual power consumption and the average power consumption of the tested intelligent driving vehicle based on the voltage information, the current information, and the test time information, and determining the power consumption index of the power battery based on the actual power consumption and the average power consumption, includes: determining the power consumption index β by the following formula:

[0010]

[0011] Among them, t is the test duration, is the voltage value of the power battery at the ith second during the test of the intelligent driving vehicle under test; is the current value of the power battery at the i-th second during the test of the intelligent driving vehicle under test; The maximum voltage of the power battery during the test of the intelligent driving vehicle under test; The maximum current value of the power battery during the test of the intelligent driving vehicle under test; The minimum voltage value of the power battery during the test of the intelligent driving vehicle under test; is the minimum current value of the power battery during the test of the intelligent driving vehicle under test; P e is the rated power of the power battery.

[0012] In an optional implementation, obtaining the test result of the power battery based on the power usage index includes: if the power usage index is within a preset range, the power battery is discharged normally.

[0013] In an optional implementation, the method further includes: obtaining gravity information and tire width information of the tested intelligent driving vehicle under the test weather environment conditions; and determining a driving safety index safe by the following formula:

[0014]

[0015] Wherein, β is the electricity consumption index; F N is the gravity value of the intelligent driving vehicle under test; Q is the preset driving road friction coefficient collection years; μ j is the minimum value of the friction coefficient of the driving road surface in the jth year; R is the tire width of the tire of the intelligent driving vehicle under test; is a preset conversion coefficient; based on the driving safety index, a driving safety test result of the tested intelligent driving vehicle is obtained.

[0016] In a second aspect, the present invention provides a device for testing an intelligent driving vehicle, the device comprising: a scenario simulation module, used to simulate test weather environment conditions; a data acquisition module, used to obtain voltage information, current information and test time information of a power battery of a tested intelligent driving vehicle under the test weather environment conditions; a data processing module, used to obtain the voltage information, current information and test time information from the data acquisition module, determine the actual power consumption and average power consumption of the tested intelligent driving vehicle, and determine the power consumption index of the power battery based on the actual power consumption and the average power consumption; and obtain the test result of the power battery based on the power consumption index.

[0017] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for intelligent driving vehicle testing of the above-mentioned first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for intelligent driving vehicle testing of the above-mentioned first aspect or any corresponding embodiment thereof.

[0019] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions, wherein the computer instructions are used to enable a computer to execute the method for intelligent driving vehicle testing according to the first aspect or any corresponding embodiment thereof.

[0020] By simulating the test weather and environmental conditions, the smart driving vehicle under test is placed in the test weather and environmental conditions, the voltage information, current information and test time information of the power battery of the smart driving vehicle under test are collected during the test, and the aforementioned voltage information, current information and test time information are analyzed and judged to obtain the performance of the power battery of the smart driving vehicle under test under the test weather and environmental conditions, which can effectively improve the accuracy of the test of the smart driving vehicle under test. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the related technologies, the drawings required for use in the specific embodiments or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A schematic diagram of a process for testing an intelligent driving vehicle provided by an embodiment of the present invention is shown;

[0023] Figure 2 A schematic diagram of the structure of a device for intelligent driving vehicle testing provided by an embodiment of the present invention is shown;

[0024] Figure 3 shows a structural schematic diagram of a data acquisition unit;

[0025] Figure 4 Another structural schematic diagram of a device for intelligent driving vehicle testing provided by an embodiment of the present invention is shown;

[0026] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0028] According to an embodiment of the present invention, a method embodiment for intelligent driving vehicle testing is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0029] In this embodiment, a method for testing an intelligent driving vehicle is provided, which can be used in a terminal, such as a mobile phone or a tablet computer, Figure 1 A schematic diagram of a process for testing an intelligent driving vehicle provided by an embodiment of the present invention is shown, such as Figure 1 As shown, the process includes the following steps:

[0030] Step S101, simulating test weather environment conditions, and obtaining voltage information, current information and test time information of the power battery of the tested intelligent driving vehicle under the test weather environment conditions.

[0031] In this step, the weather environment conditions are simulated and tested. Through a specific rain and fog simulation system, different rainfall levels from light rain to heavy rain, as well as artificial fog with different visibility such as medium fog, dense fog, and extra dense fog can be accurately simulated. By adjusting the illumination, angle, and position of the light source and using augmented reality technology, a variety of weather environments can be simulated. Snowfall conditions of different intensities can be simulated through specific snowmaking equipment or spray systems.

[0032] Under the test weather and environment conditions, the voltage information of the power battery in the tested intelligent driving vehicle can be obtained. By measuring the voltage, it can be understood whether the power battery in the tested intelligent driving vehicle is in the normal working range, and whether there is overcharging or over-discharging. By measuring the current, the battery usage, such as charging speed or discharge rate, can be analyzed to determine the performance of the power battery. By recording the test time information, the performance changes of the battery at different time points can be analyzed to provide data support for the subsequent power battery performance evaluation.

[0033] Step S102, based on the voltage information, current information and test time information, determine the actual power consumption and average power consumption of the tested intelligent driving vehicle, and based on the actual power consumption and the average power consumption, determine the power consumption index of the power battery.

[0034] In this step, the actual power consumption at each time point can be calculated based on the voltage and current information recorded during the test. The average power consumption can be obtained by dividing the total energy output by the battery during the test period by the test time. The total energy can be obtained by integrating the actual power consumption during the test time. The test time can also be divided into multiple small segments, and the average power of each small segment is multiplied by the corresponding time period, and then the sum is obtained to obtain the total energy.

[0035] Step S103: obtaining a test result of the power battery based on the power consumption index.

[0036] In this step, by comparing the actual power consumption and the average power consumption, the power consumption index can be obtained. The closer the power consumption index is to 1, the higher the power consumption efficiency of the power battery in the tested intelligent driving vehicle and the more stable the performance. The power consumption index can also reflect the stability of the power battery performance. If the power consumption index fluctuates little during the test, it means that the power battery performance is stable and not prone to failure. If the power consumption index is significantly low, it indicates that the power battery may have a fault or performance degradation. Based on the power supply index, the test results of the power battery can be comprehensively and accurately evaluated.

[0037] The method for testing an intelligent driving vehicle provided in this embodiment simulates test weather and environmental conditions, places the intelligent driving vehicle under test in the test weather and environmental conditions, collects voltage information, current information, and test time information of the power battery of the intelligent driving vehicle under test during the test, analyzes and judges the aforementioned voltage information, current information, and test time information, and obtains the performance of the power battery of the intelligent driving vehicle under test under the test weather and environmental conditions, thereby effectively improving the accuracy of the test of the intelligent driving vehicle under test.

[0038] In some optional implementations, the aforementioned method for testing an intelligent driving vehicle further includes: obtaining temperature information and humidity information of an environment in which the intelligent driving vehicle under test is located under test weather environment conditions;

[0039] The environmental impact coefficient α is determined by the following formula:

[0040]

[0041] Among them, t is the test duration, T i is the temperature of the test environment at the ith second during the test of the intelligent driving vehicle under test; T max is the maximum temperature of the test environment during the test of the intelligent driving vehicle under test; T min is the minimum temperature of the test environment during the test of the intelligent driving vehicle under test; T e is the preset temperature value; wet iwet is the humidity of the test environment at the ith second during the test of the intelligent driving vehicle under test; max The maximum humidity of the test environment during the test of the intelligent driving vehicle under test; wet e The humidity value is preset; the test result is determined based on the environmental impact coefficient and the electricity consumption index.

[0042] In this embodiment, T e is the preset temperature value, specifically, T e T is the optimal operating temperature of the power battery inside the tested intelligent driving vehicle. It can be determined based on the power battery performance and operating environment of the tested vehicle. e , for example, T e Can be set to 23℃. e is the preset humidity value, specifically, wet e The optimal operating humidity of the power battery in the tested intelligent driving vehicle can be determined based on the performance and operating environment of the power battery of the tested vehicle. e , for example, wet e Can be set to 50%.

[0043] The environmental impact coefficient calculated by the above formula can comprehensively consider the impact of environmental information such as temperature and humidity on the performance of power batteries. Temperature may affect the chemical reaction rate and internal resistance of power batteries, and humidity may affect the insulation performance and external corrosion of power batteries. The environmental impact coefficient can quantify the impact of ambient temperature and humidity on power battery performance.

[0044] The test results of the power battery based on the power consumption index can be corrected by multiplying the environmental impact coefficient by the power consumption index. The performance of the power battery will vary under different environmental conditions. By introducing the environmental impact coefficient, the test results of the power battery can be corrected to make the test results closer to the actual usage, thereby improving the accuracy of the test, which is particularly important for evaluating the performance of power batteries in different regions or seasons.

[0045] In some optional implementations, based on the voltage information, the current information and the test time information, the actual power consumption and the average power consumption of the tested intelligent driving vehicle are determined, and based on the actual power consumption and the average power consumption, the power consumption index of the power battery is determined, including: determining the power consumption index β by the following formula:

[0046]

[0047] Among them, t is the test duration, is the voltage value of the power battery at the ith second during the test of the intelligent driving vehicle under test; is the current value of the power battery at the i-th second during the test of the intelligent driving vehicle under test; The maximum voltage of the power battery during the test of the intelligent driving vehicle under test; The maximum current of the power battery during the test of the intelligent driving vehicle under test; The minimum voltage of the power battery during the test of the intelligent driving vehicle under test; is the minimum current value of the power battery during the test of the intelligent driving vehicle under test; P e is the rated power of the power battery.

[0048] In this embodiment, during the test of the intelligent driving vehicle, the product of the power battery voltage and current directly reflects the output power of the power battery at a certain moment. By summing these instantaneous powers, the total energy output of the power battery over a period of time can be obtained. The actual power consumption of the tested vehicle can be obtained more accurately, which is closer to the actual working state of the battery.

[0049] Comparing the total energy of a power battery with the product of average power consumption and time can comprehensively consider the power output stability and durability of the battery, and can more comprehensively evaluate the performance of the battery.

[0050] In this way, the power consumption index of the tested vehicle can be obtained more scientifically and accurately, which can effectively improve the accuracy of intelligent driving vehicle testing.

[0051] In some optional implementations, based on the power usage index, a test result of the power battery is obtained, including: if the power usage index is within a preset range, the power battery discharges normally.

[0052] In this embodiment, the power consumption index β can be evaluated by the following formula:

[0053] β∈[1-δ,1n

[0054] Wherein, δ is a preset threshold parameter, which can be set to 0.5 to 1. For example, δ can be set to 0.7. If δ is within the preset range, it indicates that the power battery in the tested intelligent driving vehicle is discharged normally, and the vehicle can continue to be tested and analyzed. It indicates that the power battery in the tested intelligent driving vehicle is discharging abnormally, and an alarm can be sent to the test terminal, so that the power battery of the vehicle can be repaired based on the vehicle maintenance unit.

[0055] In this way, the power consumption index within the preset range indicates that the power battery has stable performance during the discharge process and can continuously and reliably provide electrical energy. The test results of the power battery can be obtained under different test conditions.

[0056] In some alternative embodiments, the aforementioned method for testing intelligent driving vehicles further includes: under test weather environmental conditions, acquiring the gravity information and tire width information of the intelligent driving vehicle to be tested; determining the driving safety index safe through the following formula:

[0057]

[0058] where β is the power consumption index; F N is the gravity value of the intelligent driving vehicle to be tested; Q is the preset acquisition period of the driving road surface friction coefficient; μ j is the minimum value of the friction coefficient of the driving road surface in the j-th year; R is the tire width of the tire of the intelligent driving vehicle to be tested; is the preset conversion coefficient; based on the driving safety index, obtaining the driving safety test result of the intelligent driving vehicle to be tested.

[0059] In this embodiment, F N = mg, where m is the mass of the intelligent driving vehicle to be tested, g is the acceleration due to gravity, and g≈9.8m / s 2 , and Q collects the friction coefficient from the current test time to the past time, with the time in years. The preset conversion coefficient can be set to 1000.

[0060] Obtaining the driving safety test result of the intelligent driving vehicle to be tested based on the driving safety index includes: if the driving safety index is less than the preset safety threshold, i.e., safe < a, obtaining the test result that the driving safety of the intelligent driving vehicle to be tested is high under the test weather environmental conditions; if the driving safety index is greater than or equal to the preset safety threshold, i.e., safe ≥ a, obtaining the test result that there are driving safety hazards for the intelligent driving vehicle to be tested under the test weather environmental conditions.

[0061] In this way, by simulating the test weather environmental conditions and allowing the vehicle to be tested to be in the real test weather environmental conditions, comprehensively and in real time collecting key data such as the temperature and humidity of the external environment during the test of the intelligent driving vehicle, the voltage and current of the power battery, the friction coefficient of the driving road surface in rainy and snowy weather, and the gravity and tire width of the vehicle, and analyzing and judging the data, the performance of the intelligent driving vehicle in extreme weather scenarios can be obtained scientifically and accurately, effectively improving the accuracy of the intelligent driving vehicle test.

[0062] In this embodiment, a device for testing intelligent driving vehicles is also provided. This device is used to implement the above embodiments and preferred embodiments, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0063] This embodiment provides a device for testing an intelligent driving vehicle. Figure 2 FIG. 1 shows a schematic diagram of a structure of a device for testing an intelligent driving vehicle provided by an embodiment of the present invention, such as Figure 2 As shown, including:

[0064] The scene simulation module 201 is used to simulate and test weather environment conditions.

[0065] The data acquisition module 202 is used to obtain voltage information, current information and test time information of the power battery of the tested intelligent driving vehicle under test weather environment conditions.

[0066] The data processing module 203 is used to obtain the voltage information, current information and test time information from the data acquisition module, determine the actual power consumption and average power consumption of the intelligent driving vehicle under test, and determine the power consumption index of the power battery based on the actual power consumption and the average power consumption; based on the power consumption index, obtain the test result of the power battery.

[0067] In some optional embodiments, the data acquisition module is also used to obtain temperature information, humidity information of the environment in which the tested intelligent driving vehicle is located, as well as gravity information and tire width information of the tested intelligent driving vehicle; the data processing module is also used to obtain temperature information, humidity information, gravity information and tire width information from the data acquisition module, and obtain an environmental impact coefficient based on the temperature information and humidity information, and obtain a driving safety index based on the gravity information, tire width information, power consumption index and environmental impact coefficient; based on the driving safety index, obtain a driving safety test result of the tested intelligent driving vehicle.

[0068] In this embodiment, Figure 3 The structural diagram of the data acquisition unit is shown in FIG. Figure 3 As shown, the data acquisition module 202 includes: a voltage acquisition unit 2021 , a current acquisition unit 2022 , an environment information acquisition unit 2023 , a vehicle information acquisition unit 2024 and a road friction coefficient acquisition unit 2025 .

[0069] Among them, the environmental information acquisition unit 2023 is used to collect the temperature information and humidity information of the environment in which the intelligent driving vehicle under test is located. The voltage acquisition unit 2021 is used to collect the voltage information of the internal power battery of the intelligent driving vehicle under test during the discharge test. The current acquisition unit 2022 is used to collect the current information of the internal power battery of the intelligent driving vehicle under test during the discharge test. The road friction coefficient acquisition unit 2025 is used to collect the friction coefficient of the driving road surface. The vehicle information acquisition unit 2024 is used to collect the gravity and tire width information of the intelligent driving vehicle under test.

[0070] Figure 4 Another schematic diagram of the structure of the device for intelligent driving vehicle testing provided by an embodiment of the present invention is shown. Figure 4 As shown, in some optional embodiments, the aforementioned device for intelligent driving vehicle testing further includes: a data transmission module 204 and a data storage module 205, and the data transmission module 204 is used to transmit the data from the data acquisition unit 202 to the data storage module 205 in real time.

[0071] In some optional implementations, the data processing module 203 includes: a data acquisition unit 2031, a data analysis unit 2032, a report generation unit 2033 and a result forwarding unit 2034. The aforementioned device for intelligent driving vehicle testing also includes: a remote monitoring module 206. The remote monitoring module 206 includes: a data receiving unit 2063, an abnormal alarm unit 2061 and a data display module 2062 provided in the remote monitoring module 206. The report generation unit 2033 is used to generate a test report based on the test results of the data layer analysis unit 2032. The result forwarding unit 2034 is used to forward the test results to a specified terminal.

[0072] The data receiving unit 2063 can receive in real time the information data stored in the data storage module 205 and the test results of the data analysis unit 2032. The data display module 2062 displays the received information data on the display screen of the test terminal.

[0073] The test data can be obtained from the data storage module 205 based on the data acquisition unit 2031. The power consumption index, environmental impact coefficient and driving safety index are calculated based on the data analysis unit 2032. The data analysis unit 2032 sends the calculated test results to the data display unit 2062, and displays the test results on the data display unit 2062. In the case that the data analysis unit 2032 obtains an abnormal test result of the vehicle, an abnormal alarm is issued to the test terminal, and the test result is sent to the abnormal alarm unit 2061.

[0074] In some optional embodiments, the aforementioned device for testing intelligent driving vehicles also includes: a data display module 2062, which is used to obtain voltage information, current information, test time information and test results of the power battery from the data acquisition module, and display the voltage information, current information, test time information and test results of the power battery.

[0075] The remote monitoring module 206 can receive the information data stored in the data storage module 205 and the test results of the data analysis unit 2032 in real time, and display them on the display screen through the data display module 2062, so that the tester can understand the test progress and vehicle status anytime and anywhere, providing strong support for decision-making.

[0076] In some optional embodiments, the aforementioned apparatus for intelligent driving vehicle testing further includes a vehicle maintenance module 207, which is used to perform maintenance on the vehicle's power battery through the vehicle maintenance module 207 if an abnormal vehicle test result is obtained. It is also used to perform maintenance on vehicle components based on the vehicle maintenance module when the driving safety index indicates that the vehicle has a driving safety hazard.

[0077] In some optional embodiments, the aforementioned device for testing an intelligent driving vehicle further includes an environmental coefficient determination module, which is used to obtain temperature information and humidity information of the environment in which the tested intelligent driving vehicle is located under test weather environment conditions; and determine the environmental impact coefficient α by the following formula:

[0078]

[0079] Among them, t is the test duration, T i is the temperature of the test environment at the ith second during the test of the intelligent driving vehicle under test; T max is the maximum temperature of the test environment during the test of the intelligent driving vehicle under test; T min is the minimum temperature of the test environment during the test of the intelligent driving vehicle under test; T e is the preset temperature value; wet i wet is the humidity of the test environment at the ith second during the test of the intelligent driving vehicle under test; max The maximum humidity of the test environment during the test of the intelligent driving vehicle under test; wet e The humidity value is preset; the test result is determined based on the environmental impact coefficient and the electricity consumption index.

[0080] In some optional embodiments, the aforementioned device for testing an intelligent driving vehicle further includes a power consumption index determination module, which is used to determine the actual power consumption and average power consumption of the intelligent driving vehicle under test based on voltage information, current information, and test time information, and determine the power consumption index of the power battery based on the actual power consumption and the average power consumption, including: determining the power consumption index β by the following formula:

[0081]

[0082] Among them, t is the test duration, is the voltage value of the power battery at the ith second during the test of the intelligent driving vehicle under test; is the current value of the power battery at the i-th second during the test of the intelligent driving vehicle under test; The maximum voltage of the power battery during the test of the intelligent driving vehicle under test; The maximum current of the power battery during the test of the intelligent driving vehicle under test; The minimum voltage of the power battery during the test of the intelligent driving vehicle under test; is the minimum current value of the power battery during the test of the intelligent driving vehicle under test; P e is the rated power of the power battery.

[0083] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0084] The device for intelligent driving vehicle testing in this embodiment is presented in the form of a functional unit, where the unit refers to an application specific integrated circuit (ASIC) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0085] The device for testing an intelligent driving vehicle provided by an embodiment of the present invention simulates test weather environment conditions, places the intelligent driving vehicle under test in the test weather environment conditions, collects voltage information, current information and test time information of the power battery of the intelligent driving vehicle under test during the test, analyzes and judges the aforementioned voltage information, current information and test time information, and obtains the performance of the power battery of the intelligent driving vehicle under test under the test weather environment conditions, thereby effectively improving the accuracy of the test of the intelligent driving vehicle under test.

[0086] The embodiment of the present invention also provides a computer device having the above Figure 4 The device shown is used for testing intelligent driving vehicles.

[0087] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 5As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display graphical information of a graphical user interface on an external input / output device (such as a display device coupled to an interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0088] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0089] The aforementioned memory 20 stores instructions executable by at least one processor 10, so that the aforementioned at least one processor 10 executes the method shown in the above embodiment.

[0090] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0091] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0092] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0093] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator rod, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (such as a light emitting diode) and a tactile feedback device (such as a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0094] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0095] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0096] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for testing an intelligent driving vehicle, characterized in that: The method comprises: Simulating test weather and environmental conditions, and obtaining voltage information, current information, and test time information of a power battery of a tested intelligent driving vehicle under the test weather and environmental conditions; Based on the voltage information, the current information and the test time information, determine the actual power consumption and the average power consumption of the tested intelligent driving vehicle, and based on the actual power consumption and the average power consumption, determine the power consumption index of the power battery; Based on the power consumption index, a test result of the power battery is obtained.

2. The method according to claim 1, characterized in that The method further comprises: Under the test weather environment conditions, obtaining temperature information and humidity information of the environment in which the tested intelligent driving vehicle is located; The environmental impact coefficient α is determined by the following formula: t>2 Among them, t is the test duration, T i is the temperature of the test environment at the ith second during the test of the intelligent driving vehicle under test; T max is the maximum temperature of the test environment during the test of the intelligent driving vehicle under test; T min is the minimum temperature of the test environment during the test of the intelligent driving vehicle under test; T e is the preset temperature value; wet i wet is the humidity of the test environment at the ith second during the test of the intelligent driving vehicle under test; max The maximum humidity of the test environment during the test of the intelligent driving vehicle under test; wet e is the preset humidity value; The test result is determined based on the environmental impact coefficient and the electricity consumption index.

3. The method according to claim 1 or 2, characterized in that: The determining, based on the voltage information, the current information and the test time information, the actual power consumption and the average power consumption of the tested intelligent driving vehicle, and determining the power consumption index of the power battery based on the actual power consumption and the average power consumption, includes: The electricity consumption index β is determined by the following formula: Among them, t is the test duration, is the voltage value of the power battery at the ith second during the test of the intelligent driving vehicle under test; is the current value of the power battery at the i-th second during the test of the intelligent driving vehicle under test; The maximum voltage of the power battery during the test of the intelligent driving vehicle under test; The maximum current value of the power battery during the test of the intelligent driving vehicle under test; The minimum voltage value of the power battery during the test of the intelligent driving vehicle under test; is the minimum current value of the power battery during the test of the intelligent driving vehicle under test; P e is the rated power of the power battery.

4. The method according to claim 1, characterized in that: The obtaining the test result of the power battery based on the power consumption index includes: If the power consumption index is within a preset range, the power battery is discharged normally.

5. The method according to claim 2, characterized in that: The method further comprises: Under the test weather environment conditions, obtaining gravity information and tire width information of the tested intelligent driving vehicle; The driving safety index safe is determined by the following formula: Wherein, β is the electricity consumption index; F N is the gravity value of the intelligent driving vehicle under test; Q is the preset driving road friction coefficient collection years; μ j is the minimum value of the friction coefficient of the driving road surface in the jth year; R is the tire width of the tire of the intelligent driving vehicle under test; is the preset conversion factor; Based on the driving safety index, a driving safety test result of the tested intelligent driving vehicle is obtained.

6. A device for testing an intelligent driving vehicle, characterized in that: The device comprises: Scenario simulation module, used to simulate and test weather and environmental conditions; A data acquisition module, used to obtain voltage information, current information and test time information of the power battery of the tested intelligent driving vehicle under the test weather environment conditions; A data processing module is used to obtain the voltage information, the current information and the test time information from the data acquisition module, determine the actual power consumption and the average power consumption of the intelligent driving vehicle under test, and determine the power consumption index of the power battery based on the actual power consumption and the average power consumption; based on the power consumption index, obtain the test result of the power battery.

7. The device according to claim 6, characterized in that The data acquisition module is further used to obtain temperature information and humidity information of the environment in which the intelligent driving vehicle under test is located, as well as gravity information and tire width information of the intelligent driving vehicle under test; The data processing module is also used to obtain the temperature information, the humidity information, the gravity information and the tire width information from the data acquisition module, obtain an environmental impact coefficient based on the temperature information and the humidity information, obtain a driving safety index based on the gravity information, the tire width information, the power consumption index and the environmental impact coefficient, and obtain a driving safety test result of the tested intelligent driving vehicle based on the driving safety index.

8. The device according to claim 6, characterized in that The device also includes: The data display module is used to obtain the voltage information, the current information, the test time information and the test result of the power battery from the data acquisition module, and display the voltage information, the current information, the test time information and the test result of the power battery.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for intelligent driving vehicle testing according to any one of claims 1 to 5 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for intelligent driving vehicle testing according to any one of claims 1 to 5.

Images