A driving method, system and hybrid vehicle for a hybrid vehicle

Abstract

Provided are a driving method, a system and a hybrid vehicle for the hybrid vehicle. The driving method comprises: acquiring long-range road data and short-range road data (S100); classifying road sections of long-range roads in the long-range road data (S200); calculating road section features of each road section of the long-range roads, and determining driving modes of each road section of the long-range roads according to road section types of the long-range roads or in combination with the road section types and the road section features of the corresponding road sections (S300); classifying road sections of short-range roads in the short-range road data (S400); correcting road section types of corresponding road sections in the long-range roads by using road section types of each road section of the short-range roads, or correcting the road section types of the corresponding road sections in the long-range roads and the road section features of the corresponding road sections by using the road section types of each road section of the short-range roads and the road section features of the corresponding road sections, and adjusting the driving modes of the corresponding road sections (S500). The driving modes are updated in time according to the latest road conditions, so that the vehicle can work in the high economic zone as much as possible.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of driving control of hybrid vehicles, and in particular, to a driving method, system and hybrid vehicle for hybrid vehicles. BACKGROUND

[0002] For hybrid vehicles, people have been looking for the best way to coordinate the engine and the motor in order to minimize energy consumption. At present, there is a scheme to estimate the vehicle power or energy consumption according to the road data in front of the vehicle, and to evaluate the operation strategy of the vehicle. Among them, the accuracy of energy consumption estimation is particularly important.

[0003] In the prior art, energy consumption estimation generally uses a physical calculation model. This calculation method is based on strict physical and dynamic formulas, and is a very scientific and rigorous method to a certain extent. However, in the actual operation of the vehicle, due to the variability of the environment and people, it is difficult to accurately calculate the energy consumption of the vehicle only by relying on physical formulas. Moreover, in many current schemes for formulating operation strategies, the use of geographic potential energy and engine efficiency are not considered, which will cause a certain degree of waste of energy. SUMMARY

[0004] In view of the above problems, the present application is proposed in order to provide a driving method, system and hybrid vehicle for hybrid vehicles which overcomes the above problems or at least partially solves the above problems.

[0005] One object of the present application is to determine the road section type and characteristics by combining long-range road data and short-range road data, and to continuously adjust the driving mode of each road section according to the road section type and characteristics, so as to make the engine of the vehicle work in the high economic zone as much as possible.

[0006] A further object of the present application is to make the estimated energy consumption value as close as possible to the actual energy consumption value, and to obtain an accurate SOC consumption value, and to determine the driving mode of the most fuel-saving and maximum use of pure electric drive.

[0007] Another further object of the present application is to adjust the engine torque by obtaining an accurate target SOC value in driving charging, so that the engine can perform energy recovery while maintaining the high economic zone as much as possible.

[0008] In particular, according to an aspect of an embodiment of the present application, a driving method for a hybrid vehicle is provided, comprising:

[0009] acquire long-range road data starting from a vehicle starting position to a first preset distance in front, and short-range road data starting from a current actual position of the vehicle to a second preset distance in front, the vehicle starting position being a position of the vehicle when a trigger request for acquiring the long-range road data is received, and the first preset distance being greater than the second preset distance;

[0010] perform section classification on a long-range road covered in the long-range road data according to traffic flow speed and road slope information in the long-range road data, to obtain a section type of each section of the long-range road;

[0011] calculate a section feature of each section of the long-range road, and when a current battery SOC value cannot satisfy a complete journey in a pure electric driving mode, determine a driving mode of each section of the long-range road according to a section type of each section of the long-range road and a preset correspondence between section types and driving modes, or in combination with the section type of each section, a section feature of a corresponding section, and the preset correspondence between section types, section features and driving modes;

[0012] perform section classification on a short-range road covered in the short-range road data according to traffic flow speed and road slope information in the short-range road data, to obtain a section type of each section of the short-range road;

[0013] calculate a section feature of each section of the short-range road, and correct a section type of a corresponding section in the long-range road using the section type of each section of the short-range road, or correct the section type of the corresponding section in the long-range road and a section feature of the corresponding section using the section type of each section of the short-range road and the section feature of the corresponding section, so as to adjust the driving mode of the corresponding section.

[0014] Optionally, the step of correcting the section type of the corresponding section in the long-range road using the section type of each section of the short-range road, so as to adjust the driving mode of the corresponding section, comprises:

[0015] comparing the section type of each section of the short-range road with the section type of a corresponding section in the long-range road respectively, and determining whether they are consistent,

[0016] for a section with inconsistent section types, updating the section type of the section in the long-range road to the section type of the corresponding section in the short-range road, and determining the driving mode of the section in the long-range road according to the updated section type of the section in the long-range road.

[0017] Optionally, the road section types include common road sections and special road sections; and

[0018] According to the road section type of the road section in the updated long-range road, the driving mode of the road section is determined.

[0019] When the road section type of the road section in the updated long-range road is a common road section, the road section adopts a hybrid driving mode.

[0020] When the road section type of the road section in the updated long-range road is a special road section, the road section adopts a pure electric driving mode.

[0021] Optionally, the step of adjusting the driving mode of the corresponding road section in the long-range road by correcting the road section type and the road section characteristics of the corresponding road section in the long-range road according to the road section type and the road section characteristics of the corresponding road section in the short-range road comprises:

[0022] The road section type of each road section in the short-range road is compared with the road section type of the corresponding road section in the long-range road respectively to determine whether they are consistent,

[0023] For road sections with inconsistent road section types, the road section type and the road section characteristics of the road section in the long-range road are updated to the road section type and the road section characteristics of the corresponding road section in the short-range road, and the driving mode of the road section is determined according to the road section type and the road section characteristics of the road section in the updated long-range road.

[0024] Optionally, the road section characteristics include the road section length of each road section and / or the SOC consumption value of each road section.

[0025] Optionally, the road section length of each road section in the long-range road and the SOC consumption value of each road section are calculated in the following manner:

[0026] The road section length of each road section in the long-range road is calculated according to the long-range road data;

[0027] The first unit energy consumption value of each road section in the long-range road is obtained by querying a first unit mileage energy consumption table;

[0028] The first unit energy consumption value of each road section is multiplied by the road section length of the corresponding road section to obtain the first energy consumption value of each road section;

[0029] The first energy consumption value of each road section is converted into the SOC consumption value of each road section.

[0030] Optionally, the first unit mileage energy consumption table is a correspondence table between different road parameters in the long-range road data and long-range unit mileage energy consumption values, and the driving method further comprises:

[0031] obtaining actual energy consumption values of the vehicle on each road segment of the long-range road;

[0032] dividing the actual energy consumption value of each road segment by the road segment length of the corresponding road segment to obtain an actual unit energy consumption value of each road segment;

[0033] updating the unit energy consumption value of each road segment in the preset first unit mileage energy consumption table to the actual unit energy consumption value of the corresponding road segment, thereby updating the first unit mileage energy consumption table.

[0034] Optionally, the road segment length of each road segment in the short-range road and the SOC consumption value of each road segment are calculated in the following manner:

[0035] obtaining the road segment length of each road segment in the short-range road according to the short-range road data;

[0036] obtaining a second unit energy consumption value of each road segment in the short-range road by querying the second unit mileage energy consumption table;

[0037] multiplying the second unit energy consumption value of each road segment by the road segment length of the corresponding road segment to obtain a second energy consumption value of each road segment;

[0038] converting the second energy consumption value of each road segment to a SOC consumption value of each road segment.

[0039] Optionally, the second unit mileage energy consumption table is a correspondence table between different road parameters in the short-range road data and short-range unit mileage energy consumption values, and the driving method further comprises:

[0040] obtaining actual energy consumption values of the vehicle on each road segment of the short-range road;

[0041] dividing the actual energy consumption value of each road segment by the road segment length of the corresponding road segment to obtain an actual unit energy consumption value of the corresponding road segment;

[0042] updating the unit energy consumption value of each road segment in the preset second unit mileage energy consumption table to the actual unit energy consumption value of the corresponding road segment, thereby updating the second unit mileage energy consumption table.

[0043] Optionally, the road segment type includes a normal road segment and a special road segment; and

[0044] The step of determining the driving mode of the road segment according to the road segment type and the road segment characteristics of the road segment in the updated long-range road comprises:

[0045] When the road segment in the updated long-range road is classified as a normal road segment and the length of the normal road segment is greater than the preset length, the road segment adopts a hybrid driving mode.

[0046] When a road segment in the updated long-range road is classified as a special road segment, and the SOC consumption value of the special road segment is greater than the preset SOC consumption value, the road segment adopts a pure electric drive mode.

[0047] Optionally, when the driving mode is hybrid driving mode, the driving charging strategy is always executed except in the following situations where driving charging is terminated:

[0048] The vehicle's engine load increases as it moves away from the economic operating zone.

[0049] Optionally, when executing the vehicle charging strategy, the SOC consumption value of each segment of the long-range road and the short-range road is calculated, and the SOC consumption value of the corresponding segment of the long-range road is corrected using the SOC consumption value of each segment of the short-range road to obtain the corrected SOC consumption value of each segment of the long-range road. The corrected SOC consumption value of each segment is then used as the target SOC value of the corresponding segment in the vehicle charging strategy.

[0050] Optionally, the first unit mileage energy consumption lookup table is a first unit mileage energy consumption lookup table corresponding to the current driver obtained by matching from a database containing unit mileage energy consumption lookup tables corresponding to multiple drivers.

[0051] Optionally, the second unit mileage energy consumption lookup table is a second unit mileage energy consumption lookup table corresponding to the current driver obtained by matching from a database containing unit mileage energy consumption lookup tables corresponding to multiple drivers.

[0052] According to another aspect of the present invention, a driving system for a hybrid vehicle is also provided, including a control device, the control device including a memory and a processor, the memory storing a control program, which, when executed by the processor, is used to implement the aforementioned driving method.

[0053] According to another aspect of the present invention, a hybrid vehicle is also provided, including the aforementioned driving system.

[0054] According to the scheme of the present application, the driving method determines the driving mode of the vehicle on the driving path according to the road section type of the long-range road data or in combination with the road section type and the road section characteristics, and continuously corrects and adjusts the driving mode according to the road section type of the short-range road data or according to the road section type and the road section characteristics of the short-range road data, so that the engine of the vehicle works in the high economy zone as much as possible. That is, the scheme of the present application determines the driving mode by combining the long-range road data, and continuously corrects the driving mode by using the short-range road data, so that the driving mode can be updated in time according to the latest road conditions, and the vehicle can work in the high economy zone as much as possible.

[0055] Further, by updating the first unit mileage energy consumption table and the second unit mileage energy consumption table, and obtaining the unit mileage energy consumption value of each road section of the long-range road and the short-range road by table lookup, and finally converting it into the SOC consumption value of the corresponding road section, since the unit mileage energy consumption value in the first mileage energy consumption table and the second mileage energy consumption table is continuously updated to the actual unit energy consumption value, the energy consumption value estimated based on the first unit mileage energy consumption table and the second unit mileage energy consumption table is as close as possible to the actual energy consumption value, and the accurate SOC consumption value is obtained, and the driving mode with the most fuel saving and maximum use of pure electric driving is formulated.

[0056] Further, by formulating the driving charging strategy in the hybrid driving mode, and obtaining the accurate SOC consumption value of each road section in the driving charging, and taking the accurate SOC consumption value as the target SOC value, the engine torque is adjusted, so that the engine can perform energy recovery while maintaining in the high economy zone as much as possible, and the fuel is saved to the maximum, the fuel thermal efficiency and the fuel economy of the engine are improved, and the fuel consumption of the vehicle is reduced, so that the purpose of energy saving and environmental protection and the use of electric motor driving as much as possible is achieved.

[0057] In addition, the present application creatively injects the idea of statistics and big data, continuously updates and corrects the first unit mileage energy consumption table and the second unit mileage energy consumption table in the physical level, and as the number of iterations increases, the calculated SOC consumption value will be more and more close to the actual value, so that the calculated SOC consumption value is more accurate, and the driving strategy with the minimum energy consumption is formulated.

[0058] The above description is only a summary of the technical scheme of the present application, in order to more clearly understand the technical means of the present application, and can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described as follows.

[0059] The above and other objects, advantages and features of the present application will become more apparent from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0060] Some specific embodiments of the present application will now be described in detail by way of example with reference to the drawings. The same reference numbers in different drawings identify the same or similar components or parts. It should be understood that the drawings are not necessarily to scale. In the drawings:

[0061] Figure 1 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown;

[0062] Figure 2 a typical engine map is shown;

[0063] Figure 3 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown;

[0064] Figure 4 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown;

[0065] Figure 5 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown; Figure 4 a schematic diagram of the updating process of the first unit mileage energy consumption table involved in step S120 is shown;

[0066] Figure 6 a schematic diagram of the updating mechanism of the first unit mileage energy consumption table according to an embodiment of the present application is shown;

[0067] Figure 7 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown;

[0068] Figure 8 a schematic flow chart of a driving method for a hybrid vehicle according to an embodiment of the present application is shown; Figure 7 a schematic diagram of the updating process of the second unit mileage energy consumption table involved in step S220 is shown. DETAILED DESCRIPTION

[0069] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be embodied in various forms without being limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.

[0070] Embodiment 1

[0071] Figure 1 A schematic flow chart of a driving method for a hybrid vehicle is shown according to an embodiment of the present application. As shown, the driving method can at least include the following steps S100-S500: Figure 1

[0072] Step S100, obtaining long-range road data starting from a vehicle starting position to a first preset distance ahead, and short-range road data starting from a current actual position of the vehicle to a second preset distance ahead, the vehicle starting position being the vehicle position when a trigger request for obtaining the long-range road data is received, the first preset distance being greater than the second preset distance.

[0073] Step S200, classifying road sections of the long-range road covered in the long-range road data according to traffic flow speed and road slope information in the long-range road data, to obtain road section types of the road sections of the long-range road.

[0074] Step S300, calculating road section features of the road sections of the long-range road, and determining driving modes of the road sections of the long-range road according to the road section types of the road sections of the long-range road and a preset correspondence between road section types and driving modes when the current battery SOC value cannot meet a full journey in the pure electric driving mode.

[0075] Step S400, classifying road sections of the short-range road covered in the short-range road data according to traffic flow speed and road slope information in the short-range road data, to obtain road section types of the road sections of the short-range road.

[0076] Step S500, calculating road section features of the road sections of the short-range road, and correcting road section types of corresponding road sections in the long-range road using the road section types of the road sections of the short-range road, to adjust the driving modes of the corresponding road sections.

[0077] For the calculations required in the embodiments of the present application, including road division, energy consumption calculation, etc., a large amount of computing resources and storage resources are required. The present application selectively places the calculations in the cloud or in the vehicle-mounted controller. For hybrid vehicles that are not configured with a cloud, the calculation process is completed in the local vehicle-mounted controller. For hybrid vehicles that are configured with a cloud, the calculation process is completed in the cloud or in the local vehicle-mounted controller according to whether the cloud is activated or not. Before specifically introducing the above steps, the following systems are introduced:

[0078] ADAS subsystem: responsible for sending map information on the navigation planning path.

[0079] VEC subsystem: responsible for receiving map information, performing energy consumption prediction, and sending control strategy requests. ​

[0080] EM subsystem: responsible for receiving the request of driving charging control strategy, adjusting the charging recovery torque distribution according to the actual operation of the vehicle.

[0081] PROPULSION subsystem: adjusting the driving mode and torque distribution strategy.

[0082] In step S100, the vehicle initiates a navigation request at the starting position of the vehicle and enables the function of energy consumption prediction and optimization of road data, the VEC subsystem sends a data request to the ADAS subsystem, and enters the data receiving state. The received data fields are divided into short-range map information, long-range map information and vehicle current position information. The short-range map information is the short-range road data, and the long-range map information is the long-range road data.

[0083] The short-range road data is the map data from the current position of the vehicle to the second preset distance (such as 2500m) in front. The long-range road data is the map data from the starting position of the vehicle to the first preset distance (such as 252km) in front. The short-range road data and the long-range road data contain road slope and traffic flow speed information, and the information sending strategy complies with the principle of changing from near to far. That is, as the vehicle advances, in the process of expanding the long-range and short-range road data, if the traffic flow or slope information of the part of the road segment expanded by the long-range and short-range range changes, the ADAS subsystem sends the position of the information jump point and the specific jump value.

[0084] In step S200, before dividing the long-range road data, the road attribute features of the long-range road data need to be extracted. The road attribute features include road dynamic traffic flow speed, static speed, slope, weather, road type, road speed limit and traffic signal. According to these attribute features, the long-range road data can be divided into ordinary road segments and special road segments, and the special road segments can be further divided into congestion road segments, long uphill road segments, long downhill road segments and variable distance road segments. The number of ordinary road segments and special road segments is uncertain, which is related to the actual road conditions.

[0085] If it is detected in step S300 that the current battery SOC value can satisfy the entire trip in the pure electric driving mode, the vehicle is driven in the pure electric driving mode for the entire trip. That is, the step also includes: calculating the mileage corresponding to the current battery SOC value of the vehicle in real time; comparing the mileage corresponding to the current battery SOC value with the remaining mileage; and determining the driving strategy of the vehicle in the pure electric driving mode when it is determined that the mileage corresponding to the current battery SOC value is greater than the remaining mileage. That is, the vehicle calculates the mileage corresponding to the current battery SOC value in real time, and when the remaining energy of the battery is sufficient to complete the entire trip, the vehicle will complete the entire trip in the pure electric driving mode and try to consume the available energy of the battery when reaching the destination.

[0086] In step S400, the division of the short-range road data is the same as the division of the long-range road data. Road attribute features need to be extracted for the short-range road data. The road attribute features include road dynamic traffic flow speed, static speed, slope, weather, road type, road speed limit, traffic signal, and the like. According to these attribute features, the short-range road data can also be divided into ordinary road segments and special road segments, wherein the special road segments can be divided into congestion road segments, long uphill road segments, long downhill road segments, and variable distance road segments.

[0087] Similarly, the number of ordinary road segments and special road segments of the short-range road is also uncertain, which is related to the actual situation of the road. After the division of the long-range road data and the short-range road data, the starting point, i.e., the end point, of the long-range road data and the short-range road data needs to be recorded, or the length data of each road segment needs to be calculated, so that in subsequent step S500, the road segment type of the long-range road is corrected by using the road segment type of the short-range road.

[0088] In step S500, the following steps are included: comparing the road segment type of each road segment of the short-range road with the road segment type of the corresponding road segment of the long-range road respectively, determining whether they are consistent, for the road segments with inconsistent road segment types, updating the road segment type of the road segment in the long-range road to the road segment type of the corresponding road segment in the short-range road, and determining the driving mode of the road segment according to the updated road segment type of the road segment in the long-range road. In the step of determining the driving mode of the road segment according to the updated road segment type of the road segment in the long-range road: when the road segment type of the road segment in the updated long-range road is an ordinary road segment, the road segment adopts the driving mode of the hybrid driving mode. When the road segment type of the road segment in the updated long-range road is a special road segment, the road segment adopts the driving mode of the pure electric driving mode.

[0089] When the driving mode is hybrid drive mode, the driving charging strategy is always executed except in the following situation where driving charging is terminated: the vehicle's engine load moves away from the economic operating range. This can be determined by monitoring the vehicle's engine speed and torque during driving charging to determine whether the engine load is moving away from the economic operating range. The drive system monitors the engine speed and torque in real time and determines whether driving charging is permitted based on the distribution of speed and torque on the universal characteristic diagram. Simultaneously, based on the vehicle's power and torque requests and the charging power request, the engine's operating state is adjusted to ensure the engine operates within the economic range as much as possible, thereby improving fuel thermal efficiency and engine fuel economy, and reducing overall vehicle fuel consumption.

[0090] Figure 2 Typical engine universal characteristic curves are shown, such as Figure 2 As shown, the x-axis represents engine speed, the y-axis represents the torque provided by the engine, and the contour lines in the figure represent the mass of fuel consumed by the engine to produce 1 kWh of effective energy, in g / kWh. The figure shows that maintaining engine speed and torque within a certain range can optimize fuel consumption, meaning the engine is operating in its most economical zone. For example, the area in the contour map corresponding to the minimum fuel consumption per unit of energy (marked as 198) represents the engine's highest economic zone.

[0091] Accordingly, this embodiment of the invention also provides a driving system for a hybrid vehicle, including a control device. The control device includes a memory and a processor. The memory stores a control program, which, when executed by the processor, is used to implement the driving method of this embodiment.

[0092] Accordingly, this invention also provides a hybrid vehicle, including the driving system of this embodiment. According to the solution of this invention, the driving method determines the driving mode on the vehicle's travel path based on the road segment type of long-range road data, and continuously adjusts the driving mode based on the road segment type of short-range road data, thereby ensuring that the vehicle's engine operates in the highest economic zone as much as possible. In other words, this invention determines the driving mode by combining long-range road data and continuously adjusts the driving mode using short-range road data, allowing the driving mode to be updated promptly based on the latest road conditions, ensuring that the vehicle operates in the highest economic zone as much as possible.

[0093] Example 2:

[0094] like Figure 3 As shown, the driving method for a hybrid vehicle includes the following steps S100, S200, S300, S400, and S500':

[0095] In step S100, long-range road data starting from a starting position of the vehicle to a first preset distance in front of the vehicle and short-range road data starting from a current actual position of the vehicle to a second preset distance in front of the vehicle are acquired, the starting position of the vehicle is a position of the vehicle when a trigger request for acquiring the long-range road data is received, and the first preset distance is greater than the second preset distance.

[0096] In step S200, road sections of the long-range road covered in the long-range road data are classified according to traffic flow speed and road slope information in the long-range road data, to obtain road section types of the road sections of the long-range road.

[0097] In step S300, road section features of the road sections of the long-range road are calculated, and when the current battery SOC value cannot meet the complete journey in the pure electric driving mode, driving modes of the road sections of the long-range road are determined in combination of the road section types of the road sections, the road section features of the corresponding road sections, and a preset corresponding relationship between the road section types, the road section features and the driving modes.

[0098] In step S400, road sections of the short-range road covered in the short-range road data are classified according to traffic flow speed and road slope information in the short-range road data, to obtain road section types of the road sections of the short-range road.

[0099] In step S500', road section features of the road sections of the short-range road are calculated, and the road section types of the road sections of the long-range road and the road section features of the corresponding road sections are corrected by using the road section types of the road sections of the short-range road and the road section features of the corresponding road sections, so as to adjust the driving modes of the corresponding road sections.

[0100] The embodiment two is different from the embodiment one in that, in the embodiment two, the step of correcting the road section types of the road sections of the long-range road and the road section features of the corresponding road sections in the long-range road by using the road section types of the road sections of the short-range road and the road section features of the corresponding road sections in step S500', so as to adjust the driving modes of the corresponding road sections, includes: comparing the road section types of the road sections of the short-range road with the road section types of the corresponding road sections of the long-range road respectively, judging whether the two are consistent, for a road section with inconsistent road section types, updating the road section types and the road section features of the road section in the long-range road to the road section types and the road section features of the corresponding road section in the short-range road, and determining the driving mode of the road section according to the updated road section types and the road section features of the road section in the long-range road.

[0101] The road section features include road section lengths of the road sections, SOC consumption values of the road sections, and the like.

[0102] As Figure 4As shown, the road segment length of each road segment of the long-range road and the SOC consumption value of each road segment are calculated in the following manner:

[0103] In step S110, the road segment length of each road segment in the long-range road is calculated according to the long-range road data;

[0104] In step S120, the first unit energy consumption value of each road segment in the long-range road is obtained by querying the first unit mileage energy consumption table;

[0105] In step S130, the first unit energy consumption value of each road segment is multiplied by the road segment length of the corresponding road segment to obtain the first energy consumption value of each road segment in the long-range road;

[0106] In step S140, the first energy consumption value of each road segment is converted into the SOC consumption value of each road segment, thereby obtaining the SOC consumption value of each road segment in the long-range road.

[0107] In step S120, the first unit mileage energy consumption table is a corresponding relationship table between different road parameters in the long-range road data obtained through a large amount of training and learning and the unit mileage energy consumption value of the long-range road. The road parameters at least include traffic flow speed and road slope information. Meanwhile, the first unit mileage energy consumption table is constantly updated and dynamically changes. To reflect the dynamic change of the first unit mileage energy consumption table, the driving method can further include an updating process of the first unit mileage energy consumption table. As shown in Figure 5 The updating process of the first unit mileage energy consumption table specifically includes:

[0108] In step S121, the actual energy consumption value of the vehicle on each road segment of the long-range road is obtained;

[0109] In step S122, the actual energy consumption value of each road segment is divided by the road segment length of the corresponding road segment to obtain the actual unit energy consumption value of each road segment;

[0110] In step S123, the unit energy consumption value of each road segment in the preset first unit mileage energy consumption table is updated to the actual unit energy consumption value of the corresponding road segment, thereby updating the first unit mileage energy consumption table.

[0111] The first unit mileage energy consumption table is a first unit mileage energy consumption table corresponding to the current driver matched from a database containing a plurality of driver-to-corresponding unit mileage energy consumption tables.

[0112] Figure 6 The updating mechanism diagram of the first unit mileage energy consumption table according to the second embodiment of the present application is shown. As shown in Figure 6As shown, the first unit mileage energy consumption table is a first unit mileage energy consumption table corresponding to the current driver identity. That is, each driver corresponds to a first unit mileage energy consumption table matched with the driver. Therefore, the driving method further includes a step of obtaining the current driver identity. As for how to obtain the driver identity, there are many prior art, which will not be repeated here.

[0113] Therefore, before step S120, the following step is further included: selecting the first unit mileage energy consumption table corresponding to the current driver from the database containing a plurality of unit mileage energy consumption tables corresponding to drivers. When the database does not contain information of the current driver, it is determined that the current driver is a new driver, and a separate first unit mileage energy consumption table is established for the new driver. That is, the driver is bound with the ID representing the unique identity and the historical energy consumption information of the vehicle, and a corresponding first unit mileage energy consumption table is established for each driver ID to represent the energy consumption value of a specific driver under a certain weather condition and road condition, and the energy consumption data has the feature of truly reflecting the driving habits of the driver.

[0114] In step S140, the SOC is a signal describing the number of charges carried by the power battery, and the SOC consumption value can be calculated by table lookup. That is, the first energy consumption value of each road section can be converted into the SOC consumption value of each road section by table lookup.

[0115] Similarly, the road section length of each road section of the short-range road and the calculation method of the SOC consumption value of each road section are the same as those of the long-range road, such as Figure 7 As shown, the calculation is as follows:

[0116] In step S210, the road section length of each road section in the short-range road is calculated according to the short-range road data;

[0117] In step S220, the second unit energy consumption value of each road section in the short-range road is obtained by querying the second unit mileage energy consumption table;

[0118] In step S230, the second unit energy consumption value of each road section is multiplied by the road section length of the corresponding road section to obtain the second energy consumption value of each road section in the short-range road;

[0119] In step S240, the second energy consumption value of each road section is converted into the SOC consumption value of each road section, thereby obtaining the SOC consumption value of the corresponding road section in the short-range road.

[0120] In step S220, the second unit mileage energy consumption table is a correspondence table between different road parameters in the short-range road data obtained through a large amount of training and learning and the unit mileage energy consumption values of the long-range road. The road parameters at least include traffic flow speed and road slope information. Meanwhile, the second unit mileage energy consumption table is constantly updated and dynamically changed. To reflect the dynamic change of the second unit mileage energy consumption table, the driving method can further include an updating process of the second unit mileage energy consumption table. As shown in FIG. 8, the updating process of the second unit mileage energy consumption table specifically includes: Figure 8

[0121] In step S221, the actual energy consumption values of the vehicle on each road section of the short-range road are obtained.

[0122] In step S222, the actual energy consumption values of each road section are divided by the road section length of the corresponding road section, so as to obtain the actual unit energy consumption values of each road section in the short-range road.

[0123] In step S223, the unit energy consumption values of each road section in the preset second unit mileage energy consumption table are updated to the actual unit energy consumption values of the corresponding road section, so as to update the second unit mileage energy consumption table.

[0124] The second unit mileage energy consumption table is the second unit mileage energy consumption table corresponding to the current driver matched from the database containing a plurality of driver-to-corresponding unit mileage energy consumption tables.

[0125] In this embodiment, the step of determining the driving mode of the road section in the updated long-range road according to the road section type and the road section characteristics of the road section can specifically include:

[0126] When the road section type of the road section in the updated long-range road is an ordinary road section, and the road section length of the ordinary road section is greater than a preset length, the driving mode of the road section adopts the hybrid driving mode;

[0127] When the road section type of the road section in the updated long-range road is a special road section, and the SOC consumption value of the special road section is greater than a preset SOC consumption value, the driving mode of the road section adopts the pure electric driving mode.

[0128] In this embodiment, when the driving charging strategy is executed, the SOC consumption values of each road section of the long-range road and the short-range road are calculated, the SOC consumption values of each road section of the short-range road are used to correct the SOC consumption values of the corresponding road section of the long-range road, the corrected SOC consumption values of each road section of the long-range road are obtained, and the corrected SOC consumption values of each road section are taken as the target SOC values of the corresponding road section in the driving charging strategy.

[0129] ​The strategy of the on-the-go charging includes charging on the go by recovering the gravitational potential energy when driving downhill. That is, the road network data from the ADAS subsystem will inform the vehicle related controller that the road in front of the vehicle will have a large drop in elevation after a certain coordinate position, at which time the drive system will distribute the power output to the high-voltage battery as much as possible before the road elevation drops, and during the downhill driving, the kinetic energy generated by the gravitational potential energy drop is recovered to make the power battery SOC rise. Therefore, the embodiment of the present application can prepare for recovering the potential energy in advance when facing the known elevation drop, and fully recover the gravitational potential energy when the vehicle drives downhill. Thus, the problem of energy waste during the downhill driving of the vehicle can be solved, and the problems of low energy recovery efficiency and insufficient battery capacity during the downhill driving can be avoided.

[0130] When the vehicle drives forward, the predicted energy consumption value changes, that is, the calculated energy consumption value of each road section changes, and therefore the SOC consumption value dynamically changes with the increase or decrease of the special road section. When a long downhill road condition occurs, the SOC consumption value of the battery can be negative due to the coasting energy recovery.

[0131] Correspondingly, the embodiment of the present application also provides an on-the-go system for a hybrid vehicle, which comprises a control device, the control device comprises a memory and a processor, the memory stores a control program, and the control program is executed by the processor to implement the on-the-go method of the second embodiment.

[0132] Correspondingly, the embodiment of the present application also provides a hybrid vehicle comprising the on-the-go system of the second embodiment. In a specific embodiment of the present application, the on-the-go method comprises the following steps in sequence:

[0133] Step 1), the vehicle initiates a navigation request at a vehicle starting position and enables the function of energy consumption prediction and optimization of road data, the VEC subsystem sends a data request to the ADAS subsystem, and enters a data receiving state, the received data fields include short-range map information, long-range map information and current position information of the vehicle.

[0134] Step 2), the ADAS subsystem receives the data request from the VEC subsystem, and starts to send the high-precision map information of the navigation planning road section from the vehicle starting position, the short-range and long-range map information are sent in two independent messages.

[0135] Step 3), VEC subsystem creates two ring registers to receive long and short range map information sent by ADAS subsystem respectively. At the same time of data receiving, traffic flow speed and slope information are quantified and classified. According to the classified slope and speed level, the path is classified (special / ordinary), the length of the road segment is calculated, and the unit energy consumption is retrieved from the unit mileage energy consumption table, and the road segment number is stored. The data content in the ring register includes distance from the starting position of the vehicle, traffic flow speed level, slope level, road segment category, path length, SOC consumption value and road segment number, etc.

[0136] It is worth noting that at the same time of data receiving, the vehicle may have started to move according to the driver's will. During the process of vehicle moving, the long and short range visibility is updated, and the updated data will be stored in the ring register in turn.

[0137] Step 4), when the long range map information received by VEC subsystem exceeds 252km from the starting position of the vehicle or the long range map information has covered the entire navigation planning path range, VEC subsystem will close the listening to long range map information packet. At the same time, VEC subsystem will start listening to the navigation information update flag and the current vehicle position information.

[0138] Step 5), VEC subsystem starts listening to the current vehicle position information, and locates the description of the current road segment in the short range corresponding ring register according to the current vehicle position information. The vehicle position information update period is 1 second.

[0139] a) If the current belongs to ordinary road segment and the length of ordinary road segment exceeds 400m, VEC subsystem will accumulate the road energy consumption in front of the current actual vehicle position in long and short range ring registers respectively. The total energy consumption in front is obtained by the accumulated energy consumption of (long range road segment-short range road segment) + the accumulated energy consumption of short range road segment. The drive mode is requested to be set to hybrid drive, and the driving charge request is sent to EM subsystem, and the driving charge expected SOC is set to the total energy consumption calculated. PROPULSION subsystem receives the driving charge demand torque requested by EM subsystem, combines the user's request torque and the working economic state of the engine, and performs dynamic torque allocation to ensure that the engine works in the economic zone and charges the battery to reach the target SOC.

[0140] b) If the current belongs to special road segment, VEC subsystem will calculate the total energy consumption before the next ordinary road segment according to the information in the two ring registers. If the total energy consumption calculated is greater than 1% SOC, the drive mode is requested to be set to pure electric drive. Under this drive mode, the principle of priority power consumption is adopted, and PROPULSION subsystem allocates motor torque according to the user's request torque at that time.

[0141] Step 6), in the process of energy consumption calculation of step 5), the data of the two ring registers need to be latched, at this time, the information update caused by the short-range map visibility expansion from the ADAS subsystem will be stored in the temporary FIFO register until the energy consumption calculation is completed, then the operation of step 3) is performed to read and write the short-range information corresponding to the ring register.

[0142] Step 7), when the data information in the short-range ring register is updated in step 6), or the road section type retrieved by the current vehicle position information received in step 5) jumps, the processes a) and b) in step 5) are triggered. This step belongs to the interrupt operation and has a higher priority than step 8).

[0143] Step 8), in the process of steps 5), 6), and 7), if the navigation information update flag bit is enabled by the VEC subsystem or the current vehicle position information is more than 51 km away from the starting position of the vehicle, the VEC subsystem will additionally create a ring register for storing long-range information, and repeat steps 1), 2), and 3). In the process of data reception in step 3), the road information data in the old ring register will be used for energy consumption prediction and optimization control, until the new ring register meets the conditions in step 4), then the reference data calculated in steps 5), 6), and 7) is migrated to the new ring register, and the old long-range information register is emptied.

[0144] According to the scheme of the present application, the driving method determines the driving mode of the vehicle driving path by combining the road section type and the road section characteristics, and continuously corrects and adjusts the driving mode according to the road section type and the road section characteristics of the short-range road data, so that the engine of the vehicle works in the high economic zone as much as possible. That is, the scheme of the present application determines the driving mode by combining the long-range road data, and continuously corrects the driving mode by using the short-range road data, so that the driving mode can be updated in time according to the latest road state, and the vehicle can work in the high economic zone as much as possible.

[0145] Further, by updating the first unit mileage energy consumption table and the second unit mileage energy consumption table, and by looking up the unit mileage energy consumption values of each road section of the long-range road and the short-range road, and finally converting the SOC consumption values of the corresponding road sections, since the unit mileage energy consumption values in the first mileage energy consumption table and the second mileage energy consumption table are continuously updated to the actual unit energy consumption values, the energy consumption values estimated based on the first unit mileage energy consumption table and the second unit mileage energy consumption table are as close to the actual energy consumption values as possible, and accurate SOC consumption values are obtained, and the driving mode that saves fuel most and uses pure electric driving most is formulated.

[0146] Further, by formulating a driving charging strategy in the hybrid driving mode, and by obtaining the accurate SOC consumption value of each section in the driving charging, and taking the accurate SOC consumption value as the target SOC value, the engine torque is adjusted, so that the engine can perform energy recovery while maintaining the high economic zone as much as possible, and the fuel is saved to the maximum, the fuel thermal efficiency and the engine fuel economy are improved, the vehicle fuel consumption is reduced, and the purpose of energy saving and environmental protection and driving with electric motor as much as possible is achieved.

[0147] In addition, the application creatively injects the idea of statistics and big data, constantly updates and corrects the first and second unit mileage energy consumption tables in the physical level, and as the number of iterations increases, the calculated SOC consumption value will be more close to the actual value, so that the calculated SOC consumption value is more accurate, and then the driving strategy of minimizing energy consumption is formulated.

[0148] At this point, those skilled in the art should recognize that although the exemplary embodiments of the present application have been shown and described in detail herein, many other variations and modifications can be determined or deduced directly from the disclosure of the present application in accordance with the principles of the present application without departing from the spirit and scope of the present application. Therefore, the scope of the present application should be understood and recognized as covering all these other variations or modifications.

Claims

1. A driving method for a hybrid vehicle, comprising: acquiring long-range road data starting from a vehicle starting position to a first preset distance ahead, and short-range road data starting from a current actual position of the vehicle to a second preset distance ahead, the vehicle starting position being a position of the vehicle when a trigger request for acquiring the long-range road data is received, the first preset distance being greater than the second preset distance; classifying road segments of a long-range road covered in the long-range road data according to traffic flow speed and road slope information in the long-range road data, to obtain road segment types of the road segments of the long-range road; calculating road segment features of the road segments of the long-range road, and when a current battery SOC value cannot satisfy a complete journey in a pure electric driving mode, determining driving modes of the road segments of the long-range road according to the road segment types of the road segments of the long-range road and a preset correspondence between road segment types and driving modes, or in combination with the road segment types of the road segments, road segment features of corresponding road segments, and the preset correspondence between road segment types, road segment features and driving modes; classifying road segments of a short-range road covered in the short-range road data according to traffic flow speed and road slope information in the short-range road data, to obtain road segment types of the road segments of the short-range road; calculating road segment features of the road segments of the short-range road, and correcting road segment types of corresponding road segments in the long-range road using the road segment types of the road segments of the short-range road, or correcting the road segment types of the corresponding road segments in the long-range road and road segment features of the corresponding road segments using the road segment types of the road segments of the short-range road and the road segment features of the corresponding road segments, to adjust the driving modes of the corresponding road segments. 2.The driving method of claim 1, wherein: the step of correcting the road segment types of the corresponding road segments in the long-range road using the road segment types of the road segments of the short-range road to adjust the driving modes of the corresponding road segments comprises: comparing the road segment types of the road segments of the short-range road with the road segment types of the corresponding road segments in the long-range road respectively, to determine whether they are consistent, for a road segment with inconsistent road segment types, updating the road segment type of the road segment in the long-range road to the road segment type of the corresponding road segment in the short-range road, and determining the driving mode of the road segment according to the updated road segment type of the road segment in the long-range road.

3. The driving method according to claim 2, wherein the road segment types comprise ordinary road segments and special road segments; and in the step of determining the driving mode of the road segment according to the updated road segment type of the road segment in the long-range road: when the updated road segment type of the road segment in the long-range road is an ordinary road segment, the road segment adopts a hybrid driving mode as the driving mode; when the updated road segment type of the road segment in the long-range road is a special road segment, the road segment adopts a pure electric driving mode as the driving mode. 4.The driving method of claim 1, wherein: ​ The step of correcting the road section type and the road section feature of the corresponding road section in the long-range road according to the road section type of each road section of the short-range road and the road section feature of the corresponding road section, so as to adjust the driving mode of the corresponding road section, comprises: comparing the road section type of each road section of the short-range road with the road section type of the corresponding road section in the long-range road respectively, and judging whether they are consistent, for the road section whose road section type is inconsistent, updating the road section type and the road section feature of the road section in the long-range road to the road section type and the road section feature of the corresponding road section in the short-range road, and determining the driving mode of the road section according to the updated road section type and the road section feature of the road section in the long-range road.

5. The method of claim 4, wherein, The road section feature comprises the road section length of each road section and / or the SOC consumption value of each road section.

6. The driving method according to claim 5, wherein The road section length of each road section in the long-range road and the SOC consumption value of each road section are calculated in the following manner: the road section length of each road section in the long-range road is calculated according to the long-range road data; the first unit energy consumption value of each road section in the long-range road is obtained by querying the first unit mileage energy consumption table; the first energy consumption value of each road section is obtained by multiplying the first unit energy consumption value of each road section by the road section length of the corresponding road section; the first energy consumption value of each road section is converted into the SOC consumption value of each road section.

7. The driving method according to claim 6, wherein The first unit mileage energy consumption table is a corresponding relationship table between different road parameters in the long-range road data and the long-range unit mileage energy consumption value, and the driving method further comprises: the actual energy consumption value of each road section of the vehicle on the long-range road is obtained; the actual unit energy consumption value of each road section is obtained by dividing the actual energy consumption value of each road section by the road section length of the corresponding road section; the unit energy consumption value of each road section in the preset first unit mileage energy consumption table is updated to the actual unit energy consumption value of the corresponding road section, so as to update the first unit mileage energy consumption table.

8. The driving method according to claim 5, wherein The road section length of each road section in the short-range road and the SOC consumption value of each road section are calculated in the following manner: the road section length of each road section in the short-range road is calculated according to the short-range road data; the second unit energy consumption value of each road section in the short-range road is obtained by querying the second unit mileage energy consumption table; the second energy consumption value of each road section is obtained by multiplying the second unit energy consumption value of each road section by the road section length of the corresponding road section; the second energy consumption value of each road section is converted into the SOC consumption value of each road section.

9. The driving method according to claim 8, wherein, The second unit mileage energy consumption table is a corresponding relationship table between different road parameters in the short-range road data and the short-range unit mileage energy consumption value, and the driving method further comprises: the actual energy consumption value of each road section of the vehicle on the short-range road is obtained; the actual unit energy consumption value of the corresponding road section is obtained by dividing the actual energy consumption value of each road section by the road section length of the corresponding road section; the unit energy consumption value of each road section in the preset second unit mileage energy consumption table is updated to the actual unit energy consumption value of the corresponding road section, so as to update the second unit mileage energy consumption table.

10. The method of claim 5, wherein, The road section type comprises a normal road section and a special road section; and The step of determining the driving mode of the road section according to the road section type and the road section feature of the road section in the updated long-range road comprises: when the road section type of the road section in the updated long-range road is a normal road section, and the road section length of the normal road section is greater than a preset length, the road section adopts a hybrid driving mode as the driving mode; when the road section type of the road section in the updated long-range road is a special road section, and the SOC consumption value of the special road section is greater than a preset SOC consumption value, the road section adopts a pure electric driving mode as the driving mode.

11. The driving method according to any one of claims 1 to 10, wherein, When the driving mode is the hybrid driving mode, the driving charging strategy is always executed except for the following cases: the engine load of the vehicle is upwardly away from the economic operation zone.

12. The method of claim 11, wherein, When the driving charging strategy is executed, the SOC consumption values of the road sections of the long-range road and the short-range road are calculated, the SOC consumption values of the road sections of the short-range road are used to correct the SOC consumption values of the corresponding road sections of the long-range road, the corrected SOC consumption values of the road sections of the long-range road are obtained, and the corrected SOC consumption values of the road sections are taken as the target SOC values of the corresponding road sections in the driving charging strategy.

13. The method of claim 6, wherein, The first unit mileage energy consumption table is a first unit mileage energy consumption table corresponding to the current driver obtained by matching from a database containing a plurality of driver-to-one corresponding unit mileage energy consumption tables.

14. The method of claim 8, wherein, The second unit mileage energy consumption table is a second unit mileage energy consumption table corresponding to the current driver obtained by matching from a database containing a plurality of driver-to-one corresponding unit mileage energy consumption tables.

15. A driving system for a hybrid vehicle, comprising a control device, the control device comprising a memory and a processor, a control program is stored in the memory, and the control program is executed by the processor to implement the driving method according to any one of claims 1-14.

16. A hybrid vehicle comprising the driving system of claim 15.

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