Method and system for detecting driving energy efficiency of plug-in hybrid vehicle

Abstract

The invention provides a plug-in hybrid power vehicle driving energy efficiency detection method and system. Motor driving energy conversion data of a target vehicle is determined through first total battery electric energy driving consumption and first total mechanical kinetic energy output in a first electric quantity consumption time section. The fuel engine driving energy conversion data of the target vehicle is determined according to the first total driving fuel consumption and the second total mechanical kinetic energy output data in the electric quantity holding time section, and detection interference of idle fuel consumption on fuel engine driving vehicle running fuel consumption in the fuel engine driving energy conversion data measuring process is reduced. On the basis of the motor driving energy conversion data and the fuel engine driving energy conversion data, the second total battery electric energy driving consumption of the target vehicle in the second electric quantity consumption time section during high-speed running and the second total driving oil consumption of the target vehicle in the fuel engine idling time section are combined; and the total driving energy conversion data of the whole plug-in hybrid power vehicle under the target cycle working condition can be accurately calculated.

Description

Technical Field

[0001] This application belongs to the field of hybrid vehicle engine detection, and particularly relates to a drive energy efficiency detection method and system for plug-in hybrid electric vehicles. Background Art

[0002] Due to reasons such as short driving range, serious attenuation of battery capacity at low temperatures, and difficulty in charging in the wild, pure electric vehicles are difficult to meet the medium- and long-distance travel needs of users. Therefore, hybrid vehicles that can utilize both electric energy and fuel energy have emerged, and plug-in hybrid electric vehicles (PHEVs) have gained the favor of consumers due to their excellent power performance, economy, and convenience.

[0003] Currently, for the drive energy efficiency detection method of plug-in hybrid electric vehicles based on the China Light Vehicle Test Cycle (CLTC) and the World Light Vehicle Test Cycle (WLTC) working conditions, there are significant deviations in the drive energy efficiency data obtained, such as the motor drive energy conversion data and the fuel engine drive energy conversion data. As a result, the accuracy of the total drive energy conversion data obtained using the motor drive energy conversion data and the fuel engine drive energy conversion data is relatively low. Summary of the Invention

[0004] One or more embodiments of this specification describe a drive energy efficiency detection method and system for plug-in hybrid electric vehicles.

[0005] According to a first aspect, a drive energy efficiency detection method for a plug-in hybrid electric vehicle is provided. The method includes: Determine the detection data of the target vehicle in the total working condition detection time period corresponding to the target cycle working condition. The detection data includes the mechanical kinetic energy output power, motor power, fuel consumption power, and vehicle driving parameters of the target vehicle within the total working condition detection time period. The total working condition detection time period includes an electricity consumption time period and an electricity hold time period; Based on the vehicle driving parameters, construct a first curve, a second curve, and a third curve respectively, and align the first curve, the second curve, and the third curve in time. The abscissas of the first curve, the second curve, and the third curve are all time, the ordinate of the first curve is speed, the ordinate of the second curve is battery SOC, and the ordinate of the third curve is the fuel engine start-stop state value; Determine the motor drive energy conversion data within the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the power consumption time period; Determine the fuel engine drive energy conversion data within the power holding time period based on the mechanical kinetic energy output power and the fuel consumption power of the third curve within the power holding time period; Determine the total drive energy conversion data within the total working condition detection time period based on the motor drive energy conversion data and the fuel engine drive energy conversion data.

[0006] Further, the determining the motor drive energy conversion data within the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the power consumption time period includes: Divide the total working condition detection time period into multiple total speed limit time periods with the same time period length, and each total speed limit time period includes multiple consecutive target speed limit time periods with the same quantity; For each total speed limit time period, classify the corresponding target speed limit time periods into n levels in ascending order according to the highest speed within the target speed limit time period; Take the time period in which the battery SOC is higher than the first preset SOC value in the power consumption time period of the second curve as the initial power consumption time period; Take the target speed limit time periods in the initial power consumption time period of the first curve that are lower than level n as the first power consumption time periods; Determine the motor drive energy conversion data within the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the first power consumption time period.

[0007] Further, the determining the motor drive energy conversion data within the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the power consumption time period includes: Determine the first total battery electric energy drive consumption of the target vehicle in each first power consumption time period based on the motor power of each first power consumption time period; Determine the first total mechanical kinetic energy output of the target vehicle in each first power consumption time period based on the mechanical kinetic energy output power of each first power consumption time period; Based on the power consumption of the first total battery electric drive and the output of the first total mechanical kinetic energy, determine the motor drive energy conversion data of the target vehicle within the total working condition detection time period.

[0008] Further, determining the fuel engine drive energy conversion data within the power hold time period based on the mechanical kinetic energy output power and the fuel consumption power of the third curve includes: Taking the time period during which the start-stop state of the fuel engine in the power hold time period of the third curve is characterized as running as the fuel engine drive time period; Based on the fuel consumption power of each fuel engine drive time period, determine the first total drive fuel consumption of the target vehicle within each fuel engine drive time period; Based on the mechanical kinetic energy output power of the power hold time period, determine the second total mechanical kinetic energy output of the target vehicle within the power hold time period; Based on the second total mechanical kinetic energy output and the first total drive fuel consumption, determine the fuel engine drive energy conversion data within the total working condition detection time period.

[0009] Further, determining the total drive energy conversion data within the total working condition detection time period based on the motor drive energy conversion data and the fuel engine drive energy conversion data includes: Based on the power consumption of the first total battery electric drive, determine the target total battery electric drive consumption of the target vehicle within the total working condition detection time period; Based on the first total drive fuel consumption, determine the target total drive fuel consumption within the total working condition detection time period; Based on the first total mechanical kinetic energy output and the second total mechanical kinetic energy output, determine the target total mechanical kinetic energy output within the total working condition detection time period; Based on the target total drive fuel consumption, the target total battery electric drive consumption, and the target total mechanical kinetic energy output, determine the total drive energy conversion data within the total working condition detection time period.

[0010] Further, determining the target total battery electric drive consumption of the target vehicle within the total working condition detection time period based on the power consumption of the first total battery electric drive includes: Taking each target speed limit time period with a level of n within the initial power consumption time period of the first curve as the second power consumption time period; Based on the motor power within each second power consumption time period, determine the second total battery electric drive consumption of the target vehicle; Determine the target total battery power drive consumption based on the first total battery power drive consumption and the second total battery power drive consumption.

[0011] Further, the determining of the target total drive fuel consumption of the target vehicle within the total operating condition detection time period based on the first total drive fuel consumption includes: Use the time period during which the fuel engine start-stop state is characterized as non-operating in the total operating condition detection time period of the third curve as the fuel engine idle time period; Determine the second total drive fuel consumption of the target vehicle within the total operating condition detection time period based on the fuel consumption power of the fuel engine idle time period; Use the time period during which the fuel engine start-stop state is characterized as operating in the power consumption time period of the third curve as the second fuel engine idle time period Determine the third total drive fuel consumption of the target vehicle within the total operating condition detection time period based on the fuel consumption power of the second fuel engine idle time period; Determine the target total drive fuel consumption of the target vehicle within the total operating condition detection time period based on the first total drive fuel consumption, the second total drive fuel consumption, and the third total drive fuel consumption.

[0012] Further, the determining of the target total mechanical kinetic energy output of the target vehicle within the total operating condition detection time period based on the first total mechanical kinetic energy output and the second total mechanical kinetic energy output includes: Determine the third total mechanical kinetic energy output within the second power consumption time period based on the mechanical kinetic energy output power within each second power consumption time period; Determine the target total mechanical kinetic energy output within the total operating condition detection time period based on the first total mechanical kinetic energy output, the second total mechanical kinetic energy output, and the third total mechanical kinetic energy output.

[0013] According to a second aspect, there is provided a plug-in hybrid vehicle drive energy efficiency detection system, including: A first detection module, a second detection module, a third detection module, a fourth detection module, and a processor; The first detection module is used to detect the battery SOC of the target vehicle, the second detection module is used to detect the speed and mechanical kinetic energy output power of the target vehicle, the third detection module is used to detect the fuel consumption power and fuel engine start-stop state of the target vehicle, and the fourth detection module is used to detect the motor power of the target vehicle; The processor is used to implement the steps of the method according to any one of the first aspect when executing the computer program.

[0014] According to a third aspect, there is provided a computer-readable storage medium having stored thereon a computer program, characterized in that the computer-readable storage medium stores instructions which, when run on a computer or a processor, cause the computer or the processor to execute the steps of the method according to any one of the first aspects.

[0015] Beneficial effects: The present application can detect the driving energy efficiency of a plug-in hybrid vehicle based on a target driving cycle. The present application determines the motor drive energy conversion data of the target vehicle through the first total battery power drive consumption and the first total mechanical kinetic energy output in the first power consumption time period. By the first total driving fuel consumption and the second total mechanical kinetic energy output data in the power hold time period, the fuel engine drive energy conversion data of the target vehicle is determined, reducing the detection interference of the idle fuel consumption on the fuel consumption of the fuel engine driving the vehicle during the measurement of the fuel engine drive energy conversion data.

[0016] Through the above method, the energy generated by the fuel engine driving the vehicle to drive the motor to rotate during the power hold time period will not be included in the fuel consumption of the fuel engine driving, improving the detection accuracy of the detected fuel engine drive energy conversion data. At the same time, the speed of the target vehicle when running on the motor in the first power consumption time period is relatively low, and the target vehicle is not at ultra-high speed, resulting in a reduction in the driving performance of the motor, improving the accuracy of the detected motor drive energy conversion data. Furthermore, based on the motor drive energy conversion data and the fuel engine drive energy conversion data, combined with the second total battery power drive consumption in the second power consumption time period of the target vehicle during high-speed driving and the second total driving fuel consumption in the fuel engine idle time period, the total drive energy conversion data of the entire plug-in hybrid vehicle under the target driving cycle can be accurately calculated. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic flow chart of a method for detecting the driving energy efficiency of a plug-in hybrid vehicle provided by an embodiment of the present application; Figure 2 It is a schematic curve diagram of the vehicle driving parameters of a method for detecting the driving energy efficiency of a plug-in hybrid vehicle provided by an embodiment of the present application. Detailed Embodiments

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0020] In the following description, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance. The following description provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, even though such embodiments may not be explicitly described in the following content.

[0021] As Figure 1 , a method for detecting the driving energy efficiency of a plug-in hybrid vehicle provided by an embodiment of the present application includes: S1. Determine the detection data of the target vehicle in the total working condition detection time section corresponding to the target driving cycle. The detection data includes the mechanical kinetic energy output power, motor power, fuel consumption power, and vehicle driving parameters of the target vehicle in the total working condition detection time section. The total working condition detection time section includes an electricity consumption time section and an electricity holding time section.

[0022] The execution subject of the method in this embodiment is the central processor of the vehicle detection device. By calculating the detection data detected by each vehicle detection module through the central processor, the motor drive energy conversion data, fuel engine drive energy conversion data, and total drive energy conversion data can be obtained. In this embodiment, the detection data, fuel consumption power, motor power, and mechanical kinetic energy output power can be detected and obtained by the vehicle detection module. The central processor can be a processor directly locally connected to the vehicle detection device or a cloud controller of a remote control platform. As Figure 2 shown, the total working condition detection time section is the entire detection section of the target driving cycle. The total working condition detection time section includes an electricity consumption time section and an electricity holding time section. The electricity consumption time section corresponds to the time section when the plug-in hybrid vehicle is driven by the electric energy initially stored in the battery, and the electricity holding time section is the time section when the fuel engine drives the target vehicle to run. The battery charge in the battery holding section is maintained within a certain range. The short-term charging of the battery is the feed generated by driving the motor rotor to reverse when the fuel engine drives the mechanical rotor to rotate. All the driving energy of the vehicle in the battery holding section is provided by the fuel engine burning fuel. In this embodiment, the vehicle driving parameters include: the speed of the target vehicle to be detected in the total working condition detection time section, the state of charge (SOC) of the battery, and the fuel engine start-stop state value.

[0023] In the embodiments of this specification, the target cycle condition adopts the World Light Vehicle Test Cycle (WLTC), which constructs a multi-dimensional test environment by dividing the low-speed segment, medium-speed segment, high-speed segment and ultra-high-speed segment. Each speed segment simulates complex driving scenarios including start-stop, cruising, and rapid acceleration by implementing dynamic speed changes within a set range. However, the existing plug-in hybrid vehicle detection method based on the WLTC condition has the problem of over-simplification of modeling in terms of measuring the energy conversion data of the fuel engine and the motor, which is specifically manifested in the total drive parameters being calculated only based on the linear relationship between the total fuel consumption or the total power consumption.

[0024] S2. Construct a first curve, a second curve and a third curve based on the vehicle driving parameters, and align the first curve, the second curve and the third curve in time, wherein the abscissas of the first curve, the second curve and the third curve are all time, the ordinate of the first curve is speed, the ordinate of the second curve is battery SOC, and the ordinate of the third curve is the start-stop state value of the fuel engine.

[0025] In the embodiments of this specification, Figure 2 As shown, the purpose of constructing the first curve, the second curve and the third curve and aligning the first curve, the second curve and the third curve in time is to determine the first power consumption time segment, the fuel engine driving time segment, the power consumption time segment and the power retention time segment according to the speed of the target vehicle, the battery SOC and the fuel engine start-stop state value. In the third curve, when the fuel engine start-stop state value is a constant of 1, the fuel engine is characterized as running, and when the fuel engine start-stop state value is a constant of 0, the fuel engine is characterized as shutting down, wherein the constant of the fuel engine start-stop state value can be any value.

[0026] S3. Determine the motor drive energy conversion data within the power consumption time section based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the power consumption time section.

[0027] In the embodiments of the present specification, the time period in which the battery is used to detect the motor drive energy conversion data and the power consumption in the time period are determined by the changing relationship between the speed and the battery SOC on the first curve and the second curve, and then the mechanical kinetic energy output power and the motor power of the time period can be integrated and calculated respectively, so as to obtain the total mechanical kinetic energy output and the total battery power drive consumption in the time period, and finally the ratio of the total battery power drive consumption to the total mechanical kinetic energy output is calculated to obtain the motor drive energy conversion data.

[0028] In one implementable manner, determining the motor drive energy conversion data in the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve in the power consumption time period includes: Dividing the total working condition detection time period into multiple total speed limit time periods with the same time period length, and each of the total speed limit time periods includes a plurality of consecutive target speed limit time periods with the same quantity; For each of the total speed limit time periods, dividing the corresponding target speed limit time periods into n levels from low to high according to the highest speed within the target speed limit time period; Taking the time period in which the battery SOC in the power consumption time period of the second curve is higher than the first preset SOC value as the initial power consumption time period; Taking the target speed limit time periods in which the first curve is lower than level n in the initial power consumption time period as the first power consumption time period; Determining the motor drive energy conversion data in the power consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve in the first power consumption time period.

[0029] In the embodiments of this specification, as Figure 2 shown, each total speed limit time period corresponds to a test cycle of the WLTC working condition, that is, a time period including a low-speed section, a medium-speed section, a high-speed section and an ultra-high-speed section. And n in the n levels of the target speed limit time period generally corresponds to the classification of the speed sections of the target cycle working condition. If the target cycle working condition in this embodiment is the WLTC working condition, then n in this embodiment is 4.

[0030] As Figure 2 shown, the first preset SOC value is the demarcation point between the power consumption time period and the power holding time period in the total working condition detection time period. When the battery SOC value of the second curve is lower than this data point, it means that the battery power reaches the limit of driving the motor. Even if the subsequent motor drives the target vehicle to run, the energy source is part of the electric energy generated by the reverse rotation of the motor rotor when the fuel engine drives the operation.

[0031] When a plug-in hybrid vehicle is at a super-high speed, its driving efficiency will be severely reduced due to the influence of the motor driving mode. Moreover, in the actual working process of some plug-in hybrid vehicles, they will automatically switch to the fuel engine drive at the super-high speed section. Therefore, directly calculating the motor drive energy conversion data by using the total battery electrical energy drive consumption of the hybrid vehicle in the entire power consumption time section will have a large deviation from the actual value. Therefore, in this implementation, when calculating the motor drive energy conversion efficiency, the first power consumption time section is adopted, that is, each target speed limit time section lower than level n.

[0032] In an implementable manner, determining the motor drive energy conversion data in the power consumption time section based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve in the power consumption time section includes: Based on the motor power of each of the first power consumption time sections, determining the first total battery electrical energy drive consumption of the target vehicle in each of the first power consumption time sections; Based on the mechanical kinetic energy output power of each of the first power consumption time sections, determining the first total mechanical kinetic energy output of the target vehicle in each of the first power consumption time sections; Based on the first total battery electrical energy drive consumption and the first total mechanical kinetic energy output, determining the motor drive energy conversion data of the target vehicle in the total working condition detection time section.

[0033] In the embodiments of this specification, after determining the first power consumption time section, integrating the motor power of the first power consumption time section to obtain the first total battery electrical energy drive consumption, and integrating the mechanical kinetic energy output power in the first power consumption time section to obtain the first total mechanical kinetic energy output, thereby calculating the ratio of the first total battery electrical energy drive consumption to the first total mechanical kinetic energy output to obtain the motor drive energy conversion data.

[0034] The motor drive energy conversion data in this embodiment includes the motor drive energy conversion efficiency, which can be calculated by dividing the first total mechanical kinetic energy output by the first total battery electrical energy drive consumption. The mechanical kinetic energy output power can be calculated through the rotational speed and torque of the rotor connected to the wheel hub of the hybrid vehicle. The calculation formulas for the first total mechanical kinetic energy output and the first total battery electrical energy drive consumption are as follows: ; ; Wherein, represents the k-th total mechanical kinetic energy output, t represents time, represents the mechanical kinetic energy output power corresponding to the k-th total mechanical kinetic energy output, represents the j-th total battery electrical energy drive consumption, and respectively represent the rotor speed and torque connected to the wheel hub corresponding to the power consumption driven by the k-th total battery power, and represent the voltage and current of the motor corresponding to the power consumption driven by the j-th total battery power at time t. k and j are integer constants, represents the summation formula.

[0035] S4. Determining the fuel engine drive energy conversion data in the power holding time period based on the mechanical kinetic energy output power and the fuel consumption power in the power holding time period of the third curve includes: Regarding the time period when the fuel engine start-stop state in the power holding time period of the third curve is characterized as running as the fuel engine drive time period; Based on the fuel consumption power in each fuel engine drive time period, determining the first total drive fuel consumption of the target vehicle in each fuel engine drive time period; Based on the mechanical kinetic energy output power in the power holding time period, determining the second total mechanical kinetic energy output of the target vehicle in the power holding time period; Based on the second total mechanical kinetic energy output and the first total drive fuel consumption, determining the fuel engine drive energy conversion data in the total working condition detection time period.

[0036] In the embodiments of this specification, the fuel consumption in this embodiment is the fuel energy consumption. As Figure 2As shown, within the power retention time period, the fuel engine frequently operates in the idle state and starts up. This is because when the fuel engine drives the vehicle to run, it drives the motor rotor to rotate in reverse to generate a part of the electrical energy. This part of the electrical energy will drive the motor to rotate at low speeds to maintain the power near the first preset SOC value. Essentially, this part of the electrical energy is provided by the fuel consumption of the fuel engine. The time period in which the start-stop state of the fuel engine in the third curve is characterized as the operating time period within the power retention time period is defined as the fuel engine driving time period. That is, the fuel consumption of the fuel engine during the fuel engine driving time period is used to calculate the fuel engine driving energy conversion data. At the same time, the impact of idle fuel consumption is reduced by calculating the fuel consumption of the fuel engine in segments. Since all the driving energy in the power retention time period is provided by the fuel engine, the fuel engine driving energy conversion data can be calculated by calculating the ratio of the first total driving fuel consumption to the second total mechanical kinetic energy output during the fuel engine driving time period. In this embodiment, the fuel engine driving energy conversion data is the fuel engine driving energy conversion efficiency. The mechanical kinetic energy output power can be calculated through the rotational speed and torque of the rotor connected to the wheel hub of the hybrid vehicle. The first total driving fuel consumption during the fuel engine driving time period can be obtained by integrating the fuel consumption power, and the second total mechanical kinetic energy output during the fuel engine driving time period can be obtained by integrating the mechanical kinetic energy output power. Among them, the calculation formula for the first total driving fuel consumption is as follows: ; Among them, represents the i-th total driving fuel consumption, represents the fuel mass consumption corresponding to the i-th total driving fuel consumption at time t, i represents the fuel low calorific value parameter,

[0037]

[0038] S5. Based on the motor driving energy conversion data and the fuel engine driving energy conversion data, determine the total driving energy conversion data within the total working condition detection time period.

[0039] In the embodiments of this specification, the target total battery electrical energy driving consumption can be obtained through the motor driving energy conversion data, and the target total driving fuel consumption can be obtained through the fuel engine driving energy conversion data. Based on the mechanical kinetic energy output power of the target vehicle within the total working condition detection time period, the target total mechanical kinetic energy output within the total working condition detection time period can be determined. Adding the target total driving fuel consumption and the target total battery electrical energy driving consumption, the target total driving energy within the total working condition detection time period can be obtained. Finally, calculating the ratio of the target total driving energy to the total target total mechanical kinetic energy output can determine the total driving energy conversion data within the total working condition detection time period.

[0039] After determining the first power consumption time period, integrate the motor power in the first power consumption time period to obtain the first total battery electric energy driving consumption, and integrate the mechanical kinetic energy output power in the first power consumption time period to obtain the first total mechanical kinetic energy output. Then calculate the ratio of the first total battery electric energy driving consumption to the first total mechanical kinetic energy output to obtain the motor drive energy conversion data. In this embodiment, the motor drive energy conversion data includes the motor drive energy conversion efficiency In an implementable manner, determining the total drive energy conversion data within the total working condition detection time period based on the motor drive energy conversion data and the fuel engine drive energy conversion data includes: Based on the first total battery electric energy driving consumption, determine the target total battery electric energy driving consumption within the total working condition detection time period; Based on the first total driving fuel consumption, determine the target total driving fuel consumption within the total working condition detection time period; Based on the mechanical kinetic energy output power of the target vehicle within the total working condition detection time period, determine the target total mechanical kinetic energy output within the total working condition detection time period; Based on the target total driving fuel consumption, the target total battery electric energy driving consumption, and the target total mechanical kinetic energy output, determine the total drive energy conversion data within the total working condition detection time period.

[0040] In the embodiments of this specification, the first total battery electric energy driving consumption is the sum of the electric energy consumptions of each first power consumption section, and all the electric energy consumed within the power consumption time period is the target total battery electric energy driving consumption. The electric energy consumption during the power holding time period is the electric energy generated by the fuel engine driving the vehicle to drive the motor rotor to reverse. If this part of the electric energy is included in the target total battery electric energy driving consumption, it will reduce the detection accuracy of the total drive energy conversion data. Therefore, this part of the electric energy is not included when calculating the target total battery electric energy driving consumption. Add the target total driving fuel consumption and the target total battery electric energy driving consumption to obtain the target total driving energy within the total working condition detection time period. Finally, calculate the ratio of the target total driving energy to the total target total mechanical kinetic energy output to determine the total drive energy conversion data within the total working condition detection time period.

[0041] In this embodiment, the total drive energy conversion data includes the total drive energy conversion efficiency, and the calculation formula of the total drive energy conversion efficiency is as follows: ; where, represents the total drive energy conversion efficiency, represents the target total driving fuel consumption, represents the target total battery electric energy driving consumption, represents the target total mechanical kinetic energy output, represents the k-th total mechanical kinetic energy output, represents the j-th total battery electric energy drive consumption, represents the summation formula.

[0042] In an implementable manner, determining the target total battery electric energy drive consumption of the target vehicle within the total working condition detection time period based on the first total battery electric energy drive consumption includes: Regarding each target speed limit time period with level n within the initial power consumption time period of the first curve as the second power consumption time period; Determining the second total battery electric energy drive consumption of the target vehicle based on the motor power within each of the second power consumption time periods; Determining the target total battery electric energy drive consumption based on the first total battery electric energy drive consumption and the second total battery electric energy drive consumption.

[0043] In the embodiments of this specification, the target total battery electric energy drive consumption is all the electric energy consumed within the power consumption time period, and at the same time, it also represents the electric energy stored in the battery for driving the motor to rotate. In this embodiment, it is the sum of the first total battery electric energy drive consumption and the second total battery electric energy drive consumption within the power consumption time period. Therefore, by integrating the motor power within the second power consumption time period, the second total battery electric energy drive consumption can be obtained, and by adding the first total battery electric energy drive consumption and the second total battery electric energy drive consumption, the target total battery electric energy drive consumption can be obtained.

[0044] In an implementable manner, determining the target total driving fuel consumption of the target vehicle within the total working condition detection time period based on the first total driving fuel consumption includes: Regarding the time period during which the fuel engine start-stop state is characterized as non-operating in the third curve within the total working condition detection time period as the first fuel engine idle time period; Determining the second total driving fuel consumption of the target vehicle within the total working condition detection time period based on the fuel consumption power of the first fuel engine idle time period; Regarding the time period during which the fuel engine start-stop state is characterized as operating in the third curve within the power consumption time period as the second fuel engine idle time period.

[0045] Determining the third total driving fuel consumption of the target vehicle within the total working condition detection time period based on the fuel consumption power of the second fuel engine idle time period; Determining the target total driving fuel consumption of the target vehicle within the total working condition detection time period based on the first total driving fuel consumption, the second total driving fuel consumption, and the third total driving fuel consumption.

[0046] In the embodiments of the present specification, since the fuel engine participates in the driving of the target hybrid vehicle, the fuel consumption at the engine idle speed is also included when calculating the target total driving fuel consumption. In addition, the second total driving fuel consumption in the first fuel engine idle time period and the third total driving fuel consumption in the second fuel engine idle time period need to be included. Moreover, in the second fuel engine idle time period, although the fuel engine is in the starting state, the role of the fuel engine at this time is to preheat the fuel engine after the end of a total speed limit time period to prevent the fuel engine of the hybrid vehicle from completely stalling. Therefore, the rotor of the fuel engine is in an idling or stopped state in the second fuel engine idle time period and will not interfere with the operation of the motor and the battery. In this embodiment, adding the first total driving fuel consumption, the second total driving fuel consumption, and the third total driving fuel consumption can obtain the target total driving fuel consumption. Among them, integrating the fuel consumption power in the first fuel engine idle time period can obtain the second total driving fuel consumption, and integrating the fuel consumption power in the second fuel engine idle time period can obtain the third total driving fuel consumption.

[0047] To implement the method of this embodiment, this embodiment also provides a plug-in hybrid vehicle drive energy efficiency detection system, including: A first detection module, a second detection module, a third detection module, a fourth detection module, and a processor; The first detection module is used to detect the battery SOC of the target vehicle, the second detection module is used to detect the speed and mechanical kinetic energy output power of the target vehicle, the third detection module is used to detect the fuel consumption power and the start / stop state of the fuel engine of the target vehicle, and the fourth detection module is used to detect the motor power of the target vehicle; The processor is used to implement the steps of any one of the methods in the method of this embodiment when executing the computer program.

[0048] In the embodiments of the present specification, the first detection module can be built with various sensors to real-time monitor parameters such as the voltage, current, and temperature of the battery, and then use algorithms such as the ampere-hour integration method and the Kalman filtering algorithm to accurately calculate the battery SOC. The fourth detection module can be sensors for measuring current and voltage, and the motor power can be obtained through the current and voltage per unit time. The second detection module can be a rotational speed and torque measuring device such as a magnetoelectric rotational speed and torque measuring instrument or an optoelectronic encoder rotational speed and torque measuring instrument. By measuring the rotational speed and torque of the rotor driving the wheel hub, the speed and mechanical kinetic energy output power of the target vehicle can be measured. The third detection module can be a fuel consumption meter with an oil pressure sensor, and the fuel consumption power and the start / stop state of the fuel engine of the target vehicle can be detected by measuring the start and idle oil pressure and the oil quantity change of the fuel engine.

[0049] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "controller" and "memory" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), etc.

[0050] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the method provided in this embodiment are implemented. Among them, the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0051] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0052] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0053] In addition, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. And the foregoing memory includes: USB flash drives, Read-Only Memory (ROM), Random Access Memory (RAM), mobile hard disks, magnetic disks, or optical disks, etc., all kinds of media that can store program codes.

[0054] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, an optical disk, etc.

[0055] The above are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and practicing the present disclosure herein, those skilled in the art will readily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include well-known common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for detecting the driving energy efficiency of a plug-in hybrid vehicle, characterized in that, The method includes: Determining the detection data of the target vehicle in the total working condition detection time period corresponding to the target driving cycle, where the detection data includes the mechanical kinetic energy output power, motor power, fuel consumption power, and vehicle driving parameters of the target vehicle within the total working condition detection time period, and the total working condition detection time period includes an electricity consumption time period and an electricity holding time period; Based on the vehicle driving parameters, respectively constructing a first curve, a second curve, and a third curve, and aligning the first curve, the second curve, and the third curve in time. The abscissas of the first curve, the second curve, and the third curve are all time, the ordinate of the first curve is speed, the ordinate of the second curve is battery SOC, and the ordinate of the third curve is the fuel engine start-stop state value; Based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the electricity consumption time period, determining the motor drive energy conversion data within the electricity consumption time period; Based on the mechanical kinetic energy output power and the fuel consumption power of the third curve within the electricity holding time period, determining the fuel engine drive energy conversion data within the electricity holding time period; Based on the motor drive energy conversion data and the fuel engine drive energy conversion data, determining the total drive energy conversion data within the total working condition detection time period.

2. The method according to claim 1, characterized in that Before determining the motor drive energy conversion data within the electricity consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the electricity consumption time period, it further includes: Dividing the total working condition detection time period into multiple total speed limit time periods with the same time period length, and each total speed limit time period includes multiple consecutive target speed limit time periods with the same quantity; For each total speed limit time period, classifying its corresponding target speed limit time periods into n levels in ascending order according to the highest speed within the target speed limit time periods; Taking the time period in which the battery SOC in the electricity consumption time period of the second curve is higher than the first preset SOC value as the initial electricity consumption time period; Taking the target speed limit time periods in the initial electricity consumption time period of the first curve that are lower than level n as the first electricity consumption time periods; Based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the first electricity consumption time period, determining the motor drive energy conversion data within the electricity consumption time period.

3. The method according to claim 2, characterized in that Determining the motor drive energy conversion data within the electricity consumption time period based on the mechanical kinetic energy output power and the motor power of the first curve and the second curve within the first electricity consumption time period includes: Based on the motor power of each first electricity consumption time period, determining the first total battery electric energy drive consumption of the target vehicle in each first electricity consumption time period; Based on the mechanical kinetic energy output power of each of the first power consumption time intervals, determine the first total mechanical kinetic energy output of the target vehicle in each of the first power consumption time intervals; Based on the first total battery electric energy driving consumption and the first total mechanical kinetic energy output, determine the motor driving energy conversion data of the target vehicle within the total working condition detection time interval.

4. The method according to claim 3, wherein The determining of the fuel engine driving energy conversion data of the target vehicle within the power holding time interval based on the mechanical kinetic energy output power and the fuel consumption power of the third curve within the power holding time interval includes: Regarding the time intervals in the power holding time interval where the fuel engine start-stop state of the third curve is characterized as running as the fuel engine driving time intervals; Based on the fuel consumption power of each of the fuel engine driving time intervals, determine the first total driving fuel consumption of the target vehicle in each of the fuel engine driving time intervals; Based on the mechanical kinetic energy output power of the power holding time interval, determine the second total mechanical kinetic energy output of the target vehicle within the power holding time interval; Based on the second total mechanical kinetic energy output and the first total driving fuel consumption, determine the fuel engine driving energy conversion data within the total working condition detection time interval.

5. The method according to claim 4, characterized in that, The determining of the total driving energy conversion data within the total working condition detection time interval based on the motor driving energy conversion data and the fuel engine driving energy conversion data includes: Based on the first total battery electric energy driving consumption, determine the target total battery electric energy driving consumption of the target vehicle within the total working condition detection time interval; Based on the first total driving fuel consumption, determine the target total driving fuel consumption of the target vehicle within the total working condition detection time interval; Based on the mechanical kinetic energy output power of the target vehicle within the total working condition detection time interval, determine the target total mechanical kinetic energy output within the total working condition detection time interval; Based on the target total driving fuel consumption, the target total battery electric energy driving consumption and the target total mechanical kinetic energy output, determine the total driving energy conversion data within the total working condition detection time interval.

6. The method according to claim 5, characterized in that, The determining of the target total battery electric energy driving consumption of the target vehicle within the total working condition detection time interval based on the first total battery electric energy driving consumption includes: Regarding each target speed limit time interval with a level of n within the initial power consumption time interval of the first curve as the second power consumption time interval; Based on the motor power within each of the second power consumption time intervals, determine the second total battery electric energy driving consumption of the target vehicle; Based on the first total battery electric energy driving consumption and the second total battery electric energy driving consumption, determine the target total battery electric energy driving consumption.

7. The method according to claim 5, characterized in that The determining of the target total driving fuel consumption of the target vehicle within the total working condition detection time interval based on the first total driving fuel consumption includes: Regarding the time intervals in the total working condition detection time interval where the fuel engine start-stop state of the third curve is characterized as non-running as the first fuel engine idling time intervals; Based on the fuel consumption power of the first fuel engine idling time intervals, determine the second total driving fuel consumption of the target vehicle within the total working condition detection time interval; Define the time period during which the start-stop state of the fuel engine in the third curve is characterized as running in the power consumption time period as the second fuel engine idle time period. Based on the fuel consumption power in the second fuel engine idle time period, determine the third total driving fuel consumption of the target vehicle in the total working condition detection time period. Based on the first total driving fuel consumption, the second total driving fuel consumption, and the third total driving fuel consumption, determine the target total driving fuel consumption of the target vehicle in the total working condition detection time period.

8. A plug-in hybrid vehicle drive energy efficiency detection system, characterized in that It includes: A first detection module, a second detection module, a third detection module, a fourth detection module, and a processor; The first detection module is used to detect the battery SOC of the target vehicle, the second detection module is used to detect the speed and mechanical kinetic energy output power of the target vehicle, the third detection module is used to detect the fuel consumption power and the start-stop state of the fuel engine of the target vehicle, and the fourth detection module is used to detect the motor power of the target vehicle. The processor is used to implement the steps of the method according to any one of claims 1-7 when executing the computer program.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, Instructions are stored in the computer-readable storage medium, and when the instructions run on a computer or a processor, the computer or the processor is caused to execute the steps of the method according to any one of claims 1-7.

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