Method for calibrating carbon accumulation amount of gpf of extended-range engine, method for judging, device and vehicle

Abstract

The present application relates to the field of automobile technology, and discloses a kind of GPF carbon accumulation amount calibration method, judging method, device and vehicle of range extending engine, comprising starting target vehicle with range extending engine, every first preset time collects the carbon accumulation amount of GPF, whether the carbon accumulation amount of GPF collected reaches the multiple corresponding carbon load to be collected of preset is judged;If yes, respectively collect multiple groups of range extending engine exhaust flow data value and the differential pressure data value corresponding thereto before and after GPF, based on multiple groups of flow data value and differential pressure data value, obtain the flow-pressure difference characteristic curve under different carbon accumulation states, linear fitting is carried out to flow-pressure difference characteristic curve, obtain the characteristic slope factor and characteristic constant factor after linear fitting, based on multiple groups of characteristic slope factor and characteristic constant factor, obtain the carbon accumulation amount calibration model of GPF, the method does not need to carry out engine's bench carbon accumulation model calibration, shortens the calibration cycle of whole vehicle, and simultaneously improves model precision.

Description

Technical Field

[0001] This invention relates to the field of automotive technology, and in particular to a method, judgment method, device, and vehicle for calibrating the cumulative carbon content of a range-extended engine's GPF (Gas Precipitator). Background Technology

[0002] Most current China VI gasoline vehicle engines are equipped with Gasline Particulate Filters (GPFs) in their exhaust systems to collect particulate matter in the exhaust gases in order to meet the PM / PN limits required by the China VI regulations. During vehicle operation, particulate matter in the exhaust gases gradually accumulates in the GPF, causing its performance to deteriorate. In order to ensure the normal operation of the GPF and reduce particulate matter emissions in vehicle exhaust gases, the GPF needs to be regenerated regularly to remove particulate matter from it.

[0003] In related technologies, for range-extended gasoline engines equipped with particulate filters, the carbon model calibration for the GPF still follows the traditional engine calibration process. However, the traditional GPF calibration process is extremely cumbersome and time-consuming, especially the carbon model calibration process, which includes bench calibration and vehicle-wide carbon model calibration. According to the current mainstream GPF calibration process, the development of the carbon model calibration takes 1-2 months for engine bench calibration and 3-4 months for vehicle calibration (including normal temperature, high altitude, and extremely cold regions). It requires extensive road testing covering various operating conditions. The process takes about 4-6 months and requires a lot of human and material resources. However, for cars equipped with range-extended gasoline engines, the engine is not directly used for driving. The main function of the range-extended gasoline engine is to start and operate in the optimal fuel-efficient range, and then provide power to drive the generator to charge the vehicle's battery module. The engine does not intervene in the vehicle's operating conditions. Therefore, the operating conditions of the range-extended gasoline engine are relatively fixed and do not use too many complex engine operating conditions. Its working condition is stable. In this case, it would be a waste to spend so much human and material resources on GPF carbon emission calibration, and it would also increase the R&D costs and lengthen the testing cycle.

[0004] Therefore, there is an urgent need for a new calibration method for the cumulative carbon content of the GPF in range-extended gasoline engines, as well as a method for judging the cumulative carbon content corresponding to the cumulative carbon content model generated by the new calibration method. Summary of the Invention

[0005] The present invention aims to at least solve the problems of long calibration cycle, excessive consumption of human and material resources, and low accuracy of calibration models for range-extended gasoline engines in the prior art. To this end, this application proposes a calibration strategy and method for the cumulative carbon content model of range-extended gasoline engine GPF.

[0006] In a first aspect, embodiments of this application provide a method for calibrating the cumulative carbon content of a range-extended engine's GPF (Gas Precipitator Power Filter), including:

[0007] Start the target vehicle equipped with a range-extender engine and collect the cumulative carbon content of the GPF at first preset time intervals;

[0008] Determine whether the accumulated carbon content of the collected GPF has reached the preset number of corresponding carbon loadings to be collected.

[0009] If so, collect multiple sets of exhaust flow data values ​​of the range extender engine and the corresponding differential pressure data values ​​before and after the GPF;

[0010] Based on multiple sets of flow rate data values ​​and differential pressure data values, flow rate-differential pressure characteristic curves under different carbon accumulation states are obtained;

[0011] The flow-pressure difference characteristic curve is linearly fitted to obtain the characteristic slope factor and characteristic constant factor after linear fitting.

[0012] Based on multiple sets of characteristic slope factors and characteristic constant factors, a cumulative carbon content calibration model for GPF is obtained.

[0013] According to some embodiments of this application, determining whether the accumulated carbon content of the collected GPF has reached a preset plurality of corresponding carbon loadings to be collected includes:

[0014] Determine the carbon load interval value based on the corresponding model of the range-extender engine equipped in the target vehicle;

[0015] Based on the carbon loading interval value, multiple corresponding carbon loadings to be collected are obtained, wherein the data values ​​of the multiple carbon loadings to be collected are set according to linear arithmetic progression.

[0016] Based on the accumulated carbon content of the collected GPF, it is compared and judged with multiple corresponding carbon loadings to be collected in sequence.

[0017] According to some embodiments of this application, the step of comparing and judging the accumulated carbon content of the collected GPF with multiple corresponding carbon loadings to be collected in sequence further includes:

[0018] If the accumulated carbon content of the collected GPF has not reached the number of corresponding carbon loads to be collected, the carbon content of the GPF will continue to be accumulated, and the accumulated carbon content of the GPF will be collected every second preset time interval.

[0019] According to some embodiments of this application, obtaining the flow-pressure differential characteristic curves under different carbon accumulation states based on multiple sets of the flow rate data values ​​and the differential pressure data values ​​includes:

[0020] Establish a flow-pressure differential coordinate system based on the corresponding model of the range-extended engine installed in the target vehicle;

[0021] Based on the flow-pressure differential coordinate system, multiple sets of the flow data values ​​and the differential pressure data values ​​corresponding to the same cumulative carbon amount are interpolated.

[0022] Based on the interpolated flow rate data and differential pressure data distribution, flow rate-differential pressure characteristic curves under different carbon accumulation states are obtained.

[0023] According to some embodiments of this application, the step of linearly fitting the flow-pressure difference characteristic curve to obtain the characteristic slope factor and characteristic constant factor after linear fitting includes:

[0024] Based on the obtained flow-pressure differential characteristic curve, the curve is linearly fitted so that multiple sets of flow data values ​​and differential pressure data values ​​are close to the fitted slope line, thereby obtaining the characteristic slope factor and characteristic constant factor after linear fitting.

[0025] According to some embodiments of this application, the step of obtaining the cumulative carbon content calibration model of GPF based on multiple sets of characteristic slope factors and characteristic constant factors includes:

[0026] Based on multiple sets of characteristic slope factors and characteristic constant factors corresponding to multiple carbon loading values ​​set in an arithmetic progression, wherein each carbon loading value corresponds to a set of characteristic slope factors and characteristic constant factors, the cumulative carbon content calibration model of GPF is obtained.

[0027] Secondly, embodiments of this application provide a method for determining the cumulative carbon content of a range-extended engine's GPF. The method, based on a cumulative carbon content calibration model generated by the GPF cumulative carbon content calibration method described in any of the embodiments of the first aspect above, achieves cumulative carbon content determination and GPF regeneration, including:

[0028] Every third preset time interval, acquire the exhaust flow rate of the target vehicle's range extender engine and the differential pressure data before and after the GPF.

[0029] The fitting slope value is obtained based on the actual values ​​of exhaust flow and differential pressure obtained before and after the third preset time.

[0030] The pre-stored cumulative carbon calibration model is retrieved, and the corresponding carbon loading data value is obtained based on the cumulative carbon calibration model and the fitting slope value.

[0031] According to some embodiments of this application, the step of retrieving a pre-stored cumulative carbon load calibration model and obtaining the corresponding carbon loading based on the cumulative carbon load calibration model and the fitting slope value further includes:

[0032] Based on the carbon load data value, it is determined whether it is greater than a preset full-load carbon load threshold. If the carbon load data value is greater than the full-load carbon load threshold, the target vehicle issues a threshold alarm and performs GPF regeneration.

[0033] Thirdly, embodiments of this application also provide a device for determining the cumulative carbon content of a range-extended engine's GPF, characterized in that it includes:

[0034] The first acquisition module is configured to acquire the exhaust flow rate of the target vehicle's range extender engine and the differential pressure data value before and after the GPF every first preset time.

[0035] The first determining module is configured to obtain a fitting slope value based on the exhaust flow rate value and differential pressure data value obtained by the first obtaining module twice before and after a first preset time interval.

[0036] The second acquisition module is configured to acquire a pre-stored cumulative carbon calibration model;

[0037] The second determining module is configured to obtain the corresponding carbon loading data value based on the fitting slope value obtained by the first determining module and the cumulative carbon load calibration model obtained by the second obtaining module.

[0038] The judgment module is configured to determine whether to issue a threshold alarm and perform GPF regeneration based on the corresponding carbon loading data value obtained by the second determination module and the preset full-load carbon loading threshold.

[0039] Fourthly, embodiments of this application also provide a vehicle, including:

[0040] At least one processor; and

[0041] A memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the steps of the range-extended engine GPF carbon accumulation determination method described in any of the embodiments of the second aspect above.

[0043] Compared with the prior art, the technical solutions provided by the above embodiments of this application have at least the following beneficial effects:

[0044] This application's technical solution applies to range-extended gasoline engines. Since the range-extended gasoline engine is used to charge the vehicle's battery module and does not intervene in the vehicle's operating conditions, its operating conditions are relatively fixed and its operation is stable. Based on this, when calibrating the GPF carbon accumulation model for vehicles equipped with range-extended gasoline engines, carbon accumulation is continuously performed on the vehicles under different road conditions. According to actual requirements, the accumulated carbon amount is divided into multiple carbon load points to be collected using equal arithmetic progression. When each carbon load point is reached, the exhaust flow rate of the vehicle's range-extended gasoline engine and the differential pressure data before and after the GPF are processed. The method involves arithmetic sequence acquisition, calibrating multiple sets of data to obtain flow-pressure difference characteristic curves under different carbon accumulation states, and then linearly fitting these curves to obtain the fitted characteristic slope factor and characteristic constant factor. This yields the GPF carbon accumulation calibration model. This method eliminates the need for engine bench carbon accumulation model calibration, reducing the vehicle carbon accumulation model calibration time by more than 50%, optimizing the calibration cycle, and providing accurate calculations for small carbon loads (e.g., 3g-6g), minimizing sudden changes in carbon load, thus improving model accuracy and achieving accurate and rapid GPF carbon accumulation model calibration.

[0045] Furthermore, for the cumulative carbon load calibration model of GPF obtained by this method, when the carbon load of the range-extended gasoline engine of the vehicle is detected, it is only necessary to collect the exhaust flow rate of the engine and the differential pressure data before and after the GPF, input them into the cumulative carbon load calibration model of the GPF, and fit them to obtain the accurate carbon load.

[0046] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0047] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a flowchart of a method for calibrating the cumulative carbon content of a range-extended engine's GPF according to an embodiment of this application;

[0049] Figure 2 This is a flowchart of a method for determining the cumulative carbon content of a range-extended engine's GPF according to an embodiment of this application;

[0050] Figure 3 This is a block diagram of a range-extended engine GPF carbon accumulation determination device according to an embodiment of this application;

[0051] Figure 4 This is a functional block diagram of a vehicle according to an embodiment of this application. Detailed Implementation

[0052] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0053] It should be noted that, unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the specification of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0054] Example 1

[0055] Please see Figure 1 This embodiment provides a method for calibrating the cumulative carbon content of a range-extended engine's GPF (Gas Powder Fuel Cell), including:

[0056] Step S100: Start the target vehicle equipped with the range extender engine and collect the cumulative carbon content of the GPF every first preset time interval;

[0057] In this step, it should be noted that a range extender engine is an engine used in electric vehicles. It does not directly drive the vehicle, but acts as a generator to provide additional power to the electric drive system. Its operating state is stable. The target vehicle is a test vehicle or experimental vehicle used for the calibration test of the cumulative carbon content of the range extender engine's GPF (Gasoline Particulate Filter). GPF is a device used to capture particulate matter in the exhaust gas of gasoline vehicles.

[0058] In some embodiments, by driving a target vehicle equipped with a range-extender engine on designated road conditions, the cumulative carbon content of the GPF is collected at first preset time intervals. It is understood that the first preset time can be set according to actual needs, such as time intervals of 1h, 3h, 9h and 12h, etc., without limitation. It is also understood that the GPF cumulative carbon content calibration method of this embodiment is applicable to different GPF models equipped with range-extender engines, and is not limited to one type of gasoline particulate filter.

[0059] Step S200: Determine whether the accumulated carbon content of the collected GPF has reached the preset multiple corresponding carbon loading to be collected;

[0060] In this step, firstly, the carbon load interval value needs to be determined according to the corresponding model of the range-extender engine of the target vehicle. For example, the carbon load interval value can be 0.5g, 1g, 1.5g and 2g, etc. The specific carbon load interval value can be selected according to actual needs and is not restricted here. Of course, it is also necessary to consider the full-load carbon load value of the GPF of the carbon load calibration object, and set its carbon load interval value reasonably according to its full-load carbon load value.

[0061] Furthermore, based on the carbon loading interval value, multiple corresponding carbon loadings to be collected are obtained. The data values ​​of the multiple carbon loadings to be collected are set according to linear arithmetic progression. It should be noted that when multiple corresponding carbon loadings to be collected are obtained, they need to include data with a carbon loading of 0g, and then combine the largest carbon loading to perform linear arithmetic progression.

[0062] For example, if the maximum carbon loading of the GPF is N and its carbon loading interval is 2, then the carbon loading to be collected can be 0g, 2g, 4g, 6g...Ng in sequence. Based on the accumulated carbon content of the collected GPF, it is compared with multiple corresponding carbon loadings to be collected in sequence. If the accumulated carbon content of the collected GPF does not reach multiple corresponding carbon loadings to be collected, then the GPF continues to accumulate carbon, and the accumulated carbon content of the GPF is collected every second preset time. It can be understood that the time interval between the second preset time and the first preset time in step S100 can be the same or different. Preferably, the interval of the second preset time is less than the first preset time. For example, the second preset time can be 0.5h, 1h, 1.5h or 2h, etc., so as to ensure more accurate collection of the accumulated carbon content of the GPF corresponding to the carbon loading to be collected.

[0063] Step S300: If so, collect multiple sets of exhaust flow data values ​​of the range extender engine and the corresponding differential pressure data values ​​before and after the GPF;

[0064] In this step, when it is determined in step S200 that the accumulated carbon content of the GPF reaches one of the carbon loads to be collected, multiple sets of exhaust flow data values ​​of the range extender engine and the corresponding differential pressure data values ​​before and after the GPF are collected by sensors. It should be noted that the multiple sets of flow data values ​​and the differential pressure data values ​​before and after the GPF can be changed by changing the battery pack power distribution data value of the target vehicle, thereby controlling and changing the power of the range extender engine, thus indirectly changing the exhaust flow data value of the range extender engine.

[0065] It should be noted that when measuring multiple sets of exhaust flow data values ​​of the range-extender engine and the corresponding differential pressure data values ​​before and after the GPF, the cumulative carbon content of the GPF may change slightly, but this does not affect the creation of the GPF cumulative carbon content calibration model. In addition, the number of sets of exhaust flow data values ​​of the range-extender engine and the corresponding differential pressure data values ​​before and after the GPF can be selected and set according to actual needs. For example, four, five or six sets can be tested, etc., and there is no limitation here.

[0066] For example, taking a carbon loading of 0g as an example, when the GPF is under no-load (carbon loading = 0g), start the engine, and after the engine is warmed up, stabilize the engine under several fixed operating conditions, and then collect the data of engine exhaust flow and GPF differential pressure. Similarly, when measuring the data when the carbon loading is not 0g, collect the data of engine exhaust flow and GPF differential pressure under several fixed operating conditions.

[0067] Step S400: Based on multiple sets of flow rate data values ​​and differential pressure data values, obtain the flow rate-differential pressure characteristic curves under different carbon accumulation states;

[0068] In this step, based on the multiple sets of flow rate data values ​​and differential pressure data values ​​measured in step S300, and according to the corresponding model of the range-extender engine equipped in the target vehicle, a suitable flow rate-differential pressure coordinate system is established with the GPF differential pressure as the vertical axis and the engine exhaust flow rate as the horizontal axis. Based on the flow rate-differential pressure coordinate system, multiple sets of flow rate data values ​​and differential pressure data values ​​corresponding to the same carbon accumulation amount are interpolated. Based on the distribution of the interpolated flow rate data values ​​and differential pressure data values, flow rate-differential pressure characteristic curves under different carbon accumulation states are obtained.

[0069] Step S500: Perform linear fitting on the flow-pressure difference characteristic curve to obtain the characteristic slope factor and characteristic constant factor after linear fitting;

[0070] In this step, based on the obtained flow-pressure differential characteristic curve, a linear fit is performed on the curve to bring multiple sets of flow data values ​​and differential pressure data values ​​close to the fitted slope. In other words, multiple sets of flow data values ​​and differential pressure data values ​​fall on the fitted slope, thus improving the accuracy of the linear fit on the curve. Through the obtained fitted slope, the characteristic slope factor and characteristic constant factor after linear fitting are obtained. It should be noted that each set of characteristic slope factor and characteristic constant factor corresponds to a carbon loading value.

[0071] Step S600: Based on multiple sets of characteristic slope factors and characteristic constant factors, obtain the cumulative carbon content calibration model of GPF.

[0072] In this step, multiple characteristic slope factors and characteristic constant factors corresponding to multiple carbon loading values ​​set by equal arithmetic progression are used. Specifically, the multiple characteristic slope factors and characteristic constant factors are used to form a data package and imported into the calibration MAP. In this way, the cumulative carbon content calibration model of GPF is obtained.

[0073] Example 2

[0074] Please see Figure 2 This embodiment provides a method for determining the cumulative carbon content of a range-extended engine's GPF. The method, based on the cumulative carbon content calibration model generated by the GPF cumulative carbon content calibration method in the aforementioned embodiment, achieves cumulative carbon content determination and GPF regeneration, including:

[0075] Step S700: Acquire the exhaust flow rate of the target vehicle's range extender engine and the differential pressure data before and after the GPF every third preset time interval;

[0076] In this step, the third preset time can be set according to the target vehicle model and some parameters of the GPF. Specifically, the third preset time can be 1h, 2h, 4h, 6h or 8h, etc., and the specific time interval is not limited. It can be understood that the exhaust flow rate of the range extender engine and the differential pressure data of the GPF can be read by the sensor. At the same time, the collected exhaust flow rate of the range extender engine and the differential pressure data of the GPF can be stored in a stack. That is, when the data is processed, the existing data will be overwritten when the next data is collected and stored. The unit of exhaust flow rate of the range extender engine is kg / h, and the unit of differential pressure data of the GPF is hpa.

[0077] Step S800: Based on the actual values ​​of exhaust flow rate and differential pressure obtained before and after the third preset time, obtain the fitting slope value;

[0078] In this step, based on the actual values ​​of exhaust flow and differential pressure obtained twice consecutively before and after the third preset time interval of the target vehicle in step S700, the pre-stored cumulative carbon calibration model is retrieved. According to the flow-pressure difference coordinate parameters in the model, the fitting slope value corresponding to the two obtained actual values ​​of exhaust flow and differential pressure is obtained. It should be noted that the fitting slope value is actually similar in meaning to the characteristic slope factor in the aforementioned embodiment.

[0079] Step S900: Retrieve the pre-stored cumulative carbon calibration model, and obtain the corresponding carbon loading data value based on the cumulative carbon calibration model and the fitting slope value.

[0080] In this step, by retrieving the cumulative carbon content calibration model pre-stored in the target vehicle's memory and combining it with the fitting slope value obtained in step S800, it is possible to determine the carbon content level of the GPF at this time. For example, assuming the calculated fitting slope value is 0.65, and in the pre-stored cumulative carbon content calibration model, the carbon content with a characteristic slope factor of about 0.6 is between 4g and 6g, it can also be determined by interpolation that its carbon content is about 5g.

[0081] In some embodiments, the carbon load data value is used to determine whether it is greater than a preset full-load carbon load threshold. If the carbon load data value is greater than the full-load carbon load threshold, the target vehicle issues a threshold alarm and performs GPF regeneration. For example, if the full-load carbon load of the GPF is 8g (or the GPF alarm threshold), then once the slope of the relationship between exhaust flow and pressure difference calculated after the engine starts exceeds the characteristic slope factor corresponding to the carbon load of 8g, the electronic control system will issue an alarm exceeding the threshold, thereby reminding the vehicle owner that GPF regeneration is required.

[0082] The above-described method and steps are applicable to range-extended gasoline engines. Since the range-extended gasoline engine is used to charge the vehicle's battery module and does not intervene in the vehicle's operating conditions, its operating conditions are relatively fixed and its operation is stable. Based on this, when calibrating the GPF carbon accumulation model for vehicles equipped with range-extended gasoline engines, carbon accumulation is continuously performed on the vehicles under different road conditions. According to actual requirements, the accumulated carbon amount is divided into multiple carbon load points to be collected using equal arithmetic progression. When each carbon load point is reached, the exhaust flow rate of the vehicle's range-extended gasoline engine and the difference before and after the GPF are measured. The pressure data is collected using an arithmetic progression method. Multiple sets of collected data are calibrated to obtain flow-pressure difference characteristic curves under different carbon accumulation states. Then, the flow-pressure difference characteristic curves are linearly fitted to obtain the fitted characteristic slope factor and characteristic constant factor. In this way, the carbon accumulation calibration model of GPF is obtained. This method does not require bench carbon accumulation model calibration of the engine, reducing the vehicle carbon accumulation model calibration time by more than 50%, optimizing the calibration cycle, and is accurate for small carbon loads (e.g., 3g-6g), and is less prone to sudden changes in carbon load, thus improving model accuracy and achieving accurate and fast GPF carbon accumulation model calibration.

[0083] Furthermore, for the cumulative carbon load calibration model of GPF obtained by this method, when the carbon load of the range-extended gasoline engine of the vehicle is detected, it is only necessary to collect the exhaust flow rate of the engine and the differential pressure data before and after the GPF, input them into the cumulative carbon load calibration model of the GPF, and fit them to obtain the accurate carbon load.

[0084] Example 3

[0085] Please see Figure 3This embodiment provides a range-extended engine GPF cumulative carbon content determination device, the range-extended engine GPF cumulative carbon content determination device 200 includes:

[0086] The first acquisition module 210 is configured to acquire the exhaust flow rate of the target vehicle's range extender engine and the differential pressure data value before and after the GPF every first preset time.

[0087] The first determining module 220 is configured to obtain a fitting slope value based on the exhaust flow rate value and differential pressure data value obtained by the first obtaining module 210 at two times before and after a first preset time interval.

[0088] The second acquisition module 230 is configured to acquire a pre-stored cumulative carbon calibration model;

[0089] The second determining module 240 is configured to obtain the corresponding carbon loading data value based on the fitting slope value obtained by the first determining module 220 and the cumulative carbon content calibration model obtained by the second obtaining module 230.

[0090] The judgment module 250 is configured to determine whether to issue a threshold alarm and perform GPF regeneration based on the corresponding carbon loading data value obtained by the second determination module 240 and the preset full-load carbon loading threshold.

[0091] Example 4

[0092] Please see Figure 4 This embodiment provides a vehicle 600, which may include various subsystems, such as an infotainment system 610, a perception system 620, a decision control system 630, a drive system 640, and a computing platform 650. Optionally, the vehicle 600 may include more or fewer subsystems, and each subsystem may include multiple components. Furthermore, each subsystem and component of the vehicle 600 can be interconnected via wired or wireless means.

[0093] In some embodiments, the infotainment system 610 may include a communication system 611, an entertainment system 612, and a navigation system 613.

[0094] Communication system 611 may include a wireless communication system that can communicate wirelessly with one or more devices, either directly or via a communication network. For example, the wireless communication system may use 3G cellular communication, such as CDMA, EVDO, GSM / GPRS, or 4G cellular communication, such as LTE, or 5G cellular communication. The wireless communication system may utilize WiFi or a wireless local area network (WLAN) to communicate. In some embodiments, the wireless communication system may utilize an infrared link, Bluetooth, or ZigBee to communicate directly with devices. Other wireless protocols, such as various vehicle communication systems, may also be used. For example, the wireless communication system may include one or more dedicated short-range communications (DSRC) devices that can enable public and / or private data communication between vehicles and / or roadside stations.

[0095] The entertainment system 612 may include a display device, a microphone, and speakers, allowing users to listen to the radio and play music in the vehicle; or connect their mobile phones to the vehicle and project their screens onto the display device, which may be touch-sensitive, allowing users to operate the system by touching the screen.

[0096] In some cases, the user's voice signal can be acquired through a microphone, and based on the analysis of the voice signal, the user can control certain aspects of the vehicle 600, such as adjusting the interior temperature. In other cases, music can be played to the user through the audio system.

[0097] The navigation system 613 may include map services provided by a map provider to provide navigation for the vehicle 600. The navigation system 613 can be used in conjunction with the vehicle's global positioning system 621 and inertial measurement unit 622. The map services provided by the map provider can be two-dimensional maps or high-precision maps.

[0098] The perception system 620 may include several sensors for sensing information about the environment surrounding the vehicle 600. For example, the perception system 620 may include a global positioning system 621 (which may be GPS, BeiDou, or other positioning systems), an inertial measurement unit (IMU) 622, a lidar 623, a millimeter-wave radar 624, an ultrasonic radar 625, and a camera device 626. The perception system 620 may also include sensors for the internal systems of the monitored vehicle 600 (e.g., an in-vehicle air quality monitor, fuel gauge, oil temperature gauge, etc.). Sensor data from one or more of these sensors can be used to detect objects and their corresponding characteristics (position, shape, orientation, speed, etc.). This detection and identification is a critical function for the safe operation of the vehicle 600.

[0099] The Global Positioning System 621 is used to estimate the geographical location of vehicle 600.

[0100] The inertial measurement unit 622 is used to sense changes in the pose of the vehicle 600 based on inertial acceleration. In some embodiments, the inertial measurement unit 622 may be a combination of an accelerometer and a gyroscope.

[0101] The lidar 623 uses lasers to sense objects in the environment in which the vehicle 600 is located. In some embodiments, the lidar 623 may include one or more laser sources, a laser scanner, and one or more detectors, as well as other system components.

[0102] The millimeter-wave radar 624 uses radio signals to sense objects in the surrounding environment of the vehicle 600. In some embodiments, in addition to sensing objects, the millimeter-wave radar 624 can also be used to sense the speed and / or direction of travel of objects.

[0103] The ultrasonic radar 625 can use ultrasonic signals to sense objects around the vehicle 600.

[0104] The camera device 626 is used to capture image information of the surrounding environment of the vehicle 600. The camera device 626 may include a monocular camera, a binocular camera, a structured light camera, and a panoramic camera, etc. The image information acquired by the camera device 626 may include still images or video stream information.

[0105] The decision control system 630 includes a computing system 631 that analyzes and makes decisions based on information acquired by the sensing system 620. The decision control system 630 also includes a vehicle controller 632 that controls the power system of the vehicle 600, as well as a steering system 633, a throttle 634, and a braking system 635 for controlling the vehicle 600.

[0106] The computing system 631 is operable to process and analyze various information acquired by the perception system 620 to identify targets, objects, and / or features in the environment surrounding the vehicle 600. Targets may include pedestrians or animals, and objects and / or features may include traffic signals, road boundaries, and obstacles. The computing system 631 may use object recognition algorithms, Structure from Motion (SFM) algorithms, video tracking, and other techniques. In some embodiments, the computing system 631 may be used to map the environment, track objects, estimate object speeds, etc. The computing system 631 can analyze the acquired information and derive a control strategy for the vehicle.

[0107] The vehicle controller 632 can be used to coordinate the control of the vehicle's power battery and engine 641 to improve the power performance of the vehicle 600.

[0108] The steering system 633 is operable to adjust the forward direction of the vehicle 600. For example, in one embodiment, it can be a steering wheel system.

[0109] Throttle 634 is used to control the operating speed of engine 641 and thus the speed of vehicle 600.

[0110] Braking system 635 is used to control the deceleration of vehicle 600. Braking system 635 can use friction to slow down wheel 644. In some embodiments, braking system 635 can convert the kinetic energy of wheel 644 into electric current. Braking system 635 may also take other forms to slow down the rotational speed of wheel 644 to control the speed of vehicle 600.

[0111] The drive system 640 may include components that provide powered motion to the vehicle 600. In one embodiment, the drive system 640 may include an engine 641, an energy source 642, a transmission system 643, and wheels 644. The engine 641 may be an internal combustion engine, an electric motor, an air-compressed engine, or other types of engine combinations, such as a hybrid engine consisting of a gasoline engine and an electric motor, or a hybrid engine consisting of an internal combustion engine and an air-compressed engine. The engine 641 converts the energy source 642 into mechanical energy.

[0112] Examples of energy sources 642 include gasoline, diesel, other petroleum-based fuels, propane, other compressed gas-based fuels, ethanol, solar panels, batteries, and other sources of electricity. Energy source 642 can also provide energy to other systems of vehicle 600.

[0113] The drivetrain 643 transmits mechanical power from the engine 641 to the wheels 644. The drivetrain 643 may include a gearbox, a differential, and a drive shaft. In one embodiment, the drivetrain 643 may also include other components, such as a clutch. The drive shaft may include one or more axles that can be coupled to one or more wheels 644.

[0114] Some or all of the functions of vehicle 600 are controlled by computing platform 650. Computing platform 650 may include at least one processor 651, which can execute instructions 653 stored in a non-transitory computer-readable medium such as memory 652. In some embodiments, computing platform 650 may also be multiple computing devices that control individual components or subsystems of vehicle 600 in a distributed manner.

[0115] Processor 651 can be any conventional processor, such as a commercially available CPU. Alternatively, processor 651 may also include a graphics processing unit (GPU), a field-programmable gate array (FPGA), a system-on-a-chip (SoC), an application-specific integrated circuit (ASIC), or a combination thereof. Although Figure 4 The processor, memory, and other components of the computer in the same block are illustrated functionally, but those skilled in the art will understand that the processor, computer, or memory may actually include multiple processors, computers, or memories that may or may not be stored in the same physical housing.

[0116] For example, memory can be a hard disk drive or other storage media located in a casing different from that of a computer. Therefore, a reference to a processor or computer will be understood to include references to a collection of processors or computers or memories that may or may not operate in parallel. Unlike using a single processor to perform the steps described herein, some components, such as steering and deceleration components, may each have their own processor, which performs calculations only relevant to the component's specific function.

[0117] In this embodiment of the disclosure, the processor 651 can execute the steps of the range-extended engine GPF carbon content determination method in the above embodiments.

[0118] In all aspects described herein, processor 651 may be located remotely from the vehicle and communicate wirelessly with the vehicle. In other aspects, some of the processes described herein are executed on a processor located within the vehicle, while others are executed by a remote processor, including taking the necessary steps to perform a single operation.

[0119] In some embodiments, memory 652 may contain instructions 653 (e.g., program logic) that can be executed by processor 651 to perform various functions of vehicle 600. Memory 652 may also contain additional instructions, including instructions for sending data to, receiving data from, interacting with, and / or controlling one or more of the infotainment system 610, perception system 620, decision control system 630, and drive system 640.

[0120] In addition to instruction 653, memory 652 may also store data such as road maps, route information, vehicle position, direction, speed, and other vehicle data, as well as other information. This information can be used by vehicle 600 and computing platform 650 during operation of vehicle 600 in autonomous, semi-autonomous, and / or manual modes.

[0121] The computing platform 650 can control the functions of the vehicle 600 based on inputs received from various subsystems, such as the drive system 640, the perception system 620, and the decision control system 630. For example, the computing platform 650 can utilize inputs from the decision control system 630 to control the steering system 633 to avoid obstacles detected by the perception system 620. In some embodiments, the computing platform 650 is operable to provide control over many aspects of the vehicle 600 and its subsystems.

[0122] Optionally, one or more of these components may be installed separately from or associated with the vehicle 600. For example, the memory 652 may exist partially or completely separately from the vehicle 600. The components may be communicatively coupled together in a wired and / or wireless manner.

[0123] Optionally, the components described above are merely examples. In actual applications, components in each of the above modules may be added or removed as needed. Figure 4 This should not be construed as a limitation on the embodiments disclosed herein.

[0124] Optionally, vehicle 600 or its associated perception and computing devices (e.g., computing system 631, computing platform 650) can predict the behavior of the identified objects based on the characteristics of the identified objects and the state of the surrounding environment (e.g., traffic, rain, ice on the road, etc.). Optionally, each identified object depends on the behavior of the others, so all identified objects can be considered together to predict the behavior of a single identified object. Vehicle 600 can adjust its speed based on the predicted behavior of the identified objects. In other words, the autonomous vehicle can determine what steady state the vehicle needs to adjust to (e.g., accelerate, decelerate, or stop) based on the predicted behavior of the objects. In this process, other factors can also be considered in determining the speed of vehicle 600, such as the lateral position of vehicle 600 in the road, the curvature of the road, the proximity of static and dynamic objects, etc.

[0125] In addition to providing instructions to adjust the speed of the autonomous vehicle, the computing device can also provide instructions to modify the steering angle of the vehicle 600 so that the autonomous vehicle follows a given trajectory and / or maintains a safe lateral and longitudinal distance from objects near the autonomous vehicle (e.g., vehicles in adjacent lanes on the road).

[0126] The aforementioned vehicle 600 can be a different model of pure electric vehicle, and this disclosure does not impose any particular limitation.

[0127] In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described method for determining the cumulative carbon content of a range-extended engine GPF when executed by the programmable device.

[0128] Example 5

[0129] Based on the same inventive concept, this application also provides a computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the steps of the method for determining the cumulative carbon content of a range-extended engine GPF provided in the above embodiments.

[0130] The terms "first," "second," "third," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects and not to describe a particular order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, it may include a series of steps or units, or optionally, steps or units not listed, or other steps or units inherent to these processes, methods, products, or devices.

[0131] The accompanying drawings show only the portions relevant to this application, not all of them. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations may be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, etc.

[0132] The terms “component,” “module,” “system,” “unit,” etc., used in this specification are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a unit can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, a thread of execution, a program, and / or distributed between two or more computers. Furthermore, these units can be executed from various computer-readable media on which various data structures are stored. Units can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from a second unit interacting with another unit between a local system, a distributed system, and / or a network; for example, the Internet interacting with other systems via signals).

[0133] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0134] Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The reference to "embodiment" herein means that a specific feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily indicate the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0135] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0136] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

Claims

1. A method for calibrating the cumulative carbon content of a range-extended engine's GPF (Gas-Powered Particulate Filter), characterized in that, include: Start the target vehicle equipped with a range-extender engine and collect the cumulative carbon content of the GPF at first preset time intervals; Determine whether the accumulated carbon content of the collected GPF has reached the preset number of corresponding carbon loadings to be collected. If so, collect multiple sets of exhaust flow data values ​​of the range extender engine and the corresponding differential pressure data values ​​before and after the GPF; Based on multiple sets of flow rate data values ​​and differential pressure data values, flow rate-differential pressure characteristic curves under different carbon accumulation states are obtained; The flow-pressure difference characteristic curve is linearly fitted to obtain the characteristic slope factor and characteristic constant factor after linear fitting. Based on multiple sets of characteristic slope factors and characteristic constant factors, a cumulative carbon content calibration model for GPF is obtained. The determination of whether the accumulated carbon content of the collected GPF has reached the preset multiple corresponding carbon loadings to be collected includes: Determine the carbon load interval value based on the corresponding model of the range-extender engine equipped in the target vehicle; Based on the carbon loading interval value, multiple corresponding carbon loadings to be collected are obtained, wherein the data values ​​of the multiple carbon loadings to be collected are set according to linear arithmetic progression. Based on the accumulated carbon content of the collected GPF, it is compared and judged with multiple corresponding carbon loadings to be collected in sequence. The process of obtaining flow-pressure differential characteristic curves under different carbon accumulation states based on multiple sets of flow rate data values ​​and differential pressure data values ​​includes: Establish a flow-pressure differential coordinate system based on the corresponding model of the range-extended engine installed in the target vehicle; Based on the flow-pressure differential coordinate system, multiple sets of the flow data values ​​and the differential pressure data values ​​corresponding to the same cumulative carbon amount are interpolated. Based on the interpolated flow rate data and differential pressure data distribution, flow rate-differential pressure characteristic curves under different carbon accumulation states are obtained; The process of linearly fitting the flow-pressure difference characteristic curve to obtain the characteristic slope factor and characteristic constant factor after linear fitting includes: Based on the obtained flow-pressure differential characteristic curve, linear fitting is performed on the curve to make multiple sets of the flow data values ​​and the differential pressure data values ​​close to the fitting slope line, thereby obtaining the characteristic slope factor and characteristic constant factor after linear fitting. The cumulative carbon content calibration model for GPF, based on multiple sets of characteristic slope factors and characteristic constant factors, includes: Based on multiple sets of characteristic slope factors and characteristic constant factors corresponding to multiple carbon loading values ​​set in an arithmetic progression, wherein each carbon loading value corresponds to a set of characteristic slope factors and characteristic constant factors, the cumulative carbon content calibration model of GPF is obtained.

2. The method for calibrating the cumulative carbon content of a range-extended engine's GPF according to claim 1, characterized in that, The step of comparing the accumulated carbon content of the collected GPF with multiple corresponding carbon loadings to be collected also includes: If the accumulated carbon content of the collected GPF has not reached the number of corresponding carbon loads to be collected, the carbon content of the GPF will continue to be accumulated, and the accumulated carbon content of the GPF will be collected every second preset time interval.

3. A method for determining the cumulative carbon content of a range-extended engine's GPF (Gas-Powered Particulate Filter), characterized in that, The method, based on the cumulative carbon content calibration model generated by the range-extended engine GPF cumulative carbon content calibration method as described in any one of claims 1-2, realizes cumulative carbon content determination and GPF regeneration, including: Every third preset time interval, acquire the exhaust flow rate of the target vehicle's range extender engine and the differential pressure data before and after the GPF. The fitting slope value is obtained based on the actual values ​​of exhaust flow and differential pressure obtained before and after the third preset time. The pre-stored cumulative carbon calibration model is retrieved, and the corresponding carbon loading data value is obtained based on the cumulative carbon calibration model and the fitting slope value.

4. The method for determining the cumulative carbon content of a range-extended engine's GPF according to claim 3, characterized in that, The process of retrieving a pre-stored cumulative carbon load calibration model and obtaining the corresponding carbon loading based on the cumulative carbon load calibration model and the fitting slope value also includes: Based on the carbon load data value, it is determined whether it is greater than a preset full-load carbon load threshold. If the carbon load data value is greater than the full-load carbon load threshold, the target vehicle issues a threshold alarm and performs GPF regeneration.

5. A device for determining the cumulative carbon content of a range-extended engine's GPF (Gas Precipitator Power Filter) for performing the method of claim 1 or 2, characterized in that, include: The first acquisition module is configured to acquire the exhaust flow data value of the target vehicle's range-extender engine and the corresponding differential pressure data value before and after the GPF every first preset time interval. The first determining module is configured to obtain a fitting slope value based on the exhaust flow rate value and differential pressure data value obtained by the first obtaining module twice before and after a first preset time interval. The second acquisition module is configured to acquire a pre-stored cumulative carbon calibration model; The second determining module is configured to obtain the corresponding carbon loading data value based on the fitting slope value obtained by the first determining module and the cumulative carbon load calibration model obtained by the second obtaining module. The judgment module is configured to determine whether to issue a threshold alarm and perform GPF regeneration based on the corresponding carbon loading data value obtained by the second determination module and the preset full-load carbon loading threshold.

6. A vehicle, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the steps of the range-extended engine GPF carbon accumulation determination method according to any one of claims 3-4.

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