WO2022178654A1 - Driving method for hybrid vehicle, system, and hybrid vehicle - Google Patents

Abstract

Provided are a driving method for a hybrid vehicle, a system, and a hybrid vehicle. The driving method comprises: acquiring long-range road data and short-range road data (S100); performing road segment classification on a long-range road in the long-range road data (S200); calculating a road segment feature of each road segment of the long-range road, and determining, according to the road segment type of the long-range road or in combination with the road segment type and a corresponding road segment feature, a driving mode of each road segment of the long-range road (S300); performing road segment classification on a short-range road in the short-range road data (S400); and correcting, by using the road segment type of each road segment of the short-range road, the road segment type of a corresponding road segment in the long-range road, or correcting, by using the road segment type of each road segment of the short-range road and the road segment feature of a corresponding road segment, the road segment type of the corresponding road segment in the long-range road and the road segment feature of the corresponding road segment, so as to adjust the driving mode of the corresponding road segment (S500). The driving mode is updated in time according to the latest road state, so as to ensure that the vehicle operates in a high economy region as far as possible.

Description

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

The present invention relates to the technical field of driving control of a hybrid vehicle, in particular to a driving method, a system and a hybrid vehicle for the hybrid vehicle.

Background technique

For hybrid vehicles, people have been looking for the best way to coordinate the engine and the motor to minimize energy consumption. At present, there are the following schemes to estimate vehicle power or energy consumption according to road data in front of the vehicle, and to evaluate the operation strategy of the motor vehicle. Among them, the accuracy of energy consumption pre-estimation is particularly critical.

In the prior art, energy consumption estimation generally adopts a similar physical calculation model, and the calculation method is based on strict physical and kinetic formulas, which is a very scientific and rigorous method to a certain extent. However, during 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 the physical formula. Moreover, in the current plans for many operational strategies, the utilization of geographic potential energy and engine efficiency are not considered, which will result in a waste of energy to a certain extent.

SUMMARY OF THE INVENTION

In view of the above problems, the present invention is proposed to provide a driving method, system and hybrid vehicle for a hybrid vehicle that overcome the above problems or at least partially solve the above problems.

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

A further object of the present invention is to make the estimated energy consumption value as close as possible to the actual energy consumption value, thereby obtaining an accurate SOC consumption value, and then determining the driving mode that saves fuel and uses pure electric drive to the maximum extent.

Another further object of the present invention is to obtain a precise target SOC value during driving charging, so as to adjust the engine torque, so that the engine can perform energy recovery while keeping the engine in a high economic zone as much as possible.

In particular, according to an aspect of the embodiments of the present invention, a driving method for a hybrid vehicle is provided, including:

Obtain long-range road data from the starting position of the vehicle to the first preset distance in front, and short-range road data from the current actual position of the vehicle to the second preset distance in front, where the starting position of the vehicle is To the position of the vehicle when the trigger request for obtaining the long-range road data, the first preset distance is greater than the second preset distance;

classifying the long-range roads covered in the long-range road data according to the traffic flow speed and road gradient information in the long-range road data, to obtain the road segment type of each road segment of the long-range road;

Calculate and obtain the road segment characteristics of each road segment of the long-range road, and when the current battery SOC value cannot meet the full range of driving in the pure electric drive mode, according to the road segment type of each road segment of the long-range road and the preset road segment type and The corresponding relationship of the driving driving modes, or determining the driving driving mode of each section of the long-range road in combination with the section type of each road section, the road section characteristics of the corresponding road section, and the preset corresponding relationship between the road section type, road section characteristics and the driving driving mode;

classifying the short-range roads covered in the short-range road data according to the traffic flow speed and the road gradient information in the short-range road data, to obtain the road segment type of each road segment of the short-range road;

Calculate and obtain the link characteristics of each link of the short-range road, and use the link type of each link of the short-range road to correct the link type of the corresponding link in the long-range road, or use the short-range road The road segment type of each road segment and the road segment characteristics of the corresponding road segment are modified to correct the road segment type and the road segment characteristics of the corresponding road segment in the long-range road, so as to adjust the driving mode of the corresponding road segment.

Optionally, the step of correcting the road segment type of the corresponding road segment in the long-range road by using the road segment type of each road segment of the short-range road, so as to adjust the driving mode of the corresponding road segment, includes:

comparing the road segment types of each road segment of the short-range road with the road segment types of the corresponding road segments in the long-range road, to determine whether the two are consistent,

For a road segment with inconsistent road segment types, update the segment type of the road segment in the long-range road to the segment type of the corresponding road segment in the short-range road, and update the segment type of the road segment in the long-range road according to the updated segment type of the road segment in the long-range road Type determines the driving mode of the road segment.

Optionally, the road segment types include 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 road segment type of the updated road segment in the 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 updated road segment in the long-range road is a special road segment, the road segment adopts the driving driving mode of the pure electric driving mode.

Optionally, using the segment type of each segment of the short-range road and the segment feature of the corresponding segment to correct the segment type of the corresponding segment and the segment feature of the corresponding segment in the long-range road, thereby adjusting the segment type of the corresponding segment. The steps of the driving mode, including:

comparing the road segment types of each road segment of the short-range road with the road segment types of the corresponding road segments in the long-range road, to determine whether the two are consistent,

For the road segments with inconsistent road segment types, update the road segment type and road segment characteristics of the road segment in the long-range road to the road segment type and road segment characteristics of the corresponding road segment in the short-range road, according to the updated long-range road segment. The road segment type and road segment characteristics of the road segment determine the driving mode of the road segment.

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

Optionally, the length of each road segment in the long-range road and the SOC consumption value of each road segment are calculated as follows:

Calculate and obtain the length of each road segment in the long-range road according to the long-range road data;

Obtain the first unit energy consumption value of each road section in the long-range road by querying the first unit mileage energy consumption comparison table;

Multiplying the first unit energy consumption value of each road section by the road section length of the corresponding road section to obtain the first energy consumption value of each road section;

The first energy consumption value of each road section is converted into an SOC consumption value of each road section.

Optionally, the first energy consumption per mileage comparison table is a correspondence table between different road parameters in the long-range road data and the long-range energy consumption per mileage value, and the driving method further includes:

obtaining the actual energy consumption value of the vehicle in each section of the long-range road;

Divide the actual energy consumption value of each road segment by the road segment length of the corresponding road segment to obtain the actual unit energy consumption value of each road segment;

The unit energy consumption value of each road section in the preset first unit mileage energy consumption comparison table is updated to the actual unit energy consumption value of the corresponding road section, thereby updating the first unit mileage energy consumption comparison table.

Optionally, the length of each road segment in the short-range road and the SOC consumption value of each road segment are calculated as follows:

Calculate and obtain the length of each road segment in the short-range road according to the short-range road data;

Obtain the second unit energy consumption value of each road section in the short-range road by querying the second unit mileage energy consumption comparison table;

multiplying the second unit energy consumption value of each road section by the road section length of the corresponding road section to obtain the second energy consumption value of each road section;

The second energy consumption value of each road section is converted into an SOC consumption value of each road section.

Optionally, the second energy consumption per mileage comparison table is a correspondence table between different road parameters in the short-range road data and the short-range energy consumption per mileage value, and the driving method further includes:

obtaining the actual energy consumption value of the vehicle in each section of the short-range road;

Dividing the actual energy consumption value of each road section by the road section length of the corresponding road section to obtain the actual unit energy consumption value of the corresponding road section;

The unit energy consumption value of each road section in the preset second unit mileage energy consumption comparison table is updated to the actual unit energy consumption value of the corresponding road section, thereby updating the second unit mileage energy consumption comparison table.

Optionally, the road segment types include ordinary road segments and special road segments; and

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

When the road segment type of the updated road segment in the long-range road is an ordinary road segment, and the segment length of the ordinary road segment is greater than the preset length, the road segment adopts the driving mode of the hybrid drive mode;

When the road segment type of the updated road segment in the long-range road is 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 the driving driving mode of the pure electric driving mode.

Optionally, when the driving driving mode is the hybrid driving mode, the driving charging strategy is always executed unless the driving charging is terminated in the following situations:

The vehicle's engine load moves up out of the operating economic zone.

Optionally, when executing the driving charging strategy, calculate the SOC consumption value of each section of the long-range road and the short-range road, and use the SOC consumption value of each section of the short-range road to correspond to the long-range road. The SOC consumption value of the road section is corrected to obtain the corrected SOC consumption value of each road section of the long-range road, and the corrected SOC consumption value of each road section is used as the target SOC value of the corresponding road section in the driving charging strategy.

Optionally, the first energy consumption per mileage comparison table is a first unit mileage energy consumption comparison table corresponding to the current driver obtained by matching from a database containing a plurality of drivers one-to-one corresponding energy consumption per mileage table. .

Optionally, the second energy consumption per mileage comparison table is a second energy consumption per mileage comparison table corresponding to the current driver obtained by matching from a database containing a one-to-one correspondence of multiple drivers with energy consumption per unit mileage. .

According to another aspect of the present invention, there is also provided a driving system for a hybrid vehicle, including a control device, the control device including a memory and a processor, the memory stores a control program, and the control program is stored in the memory. When the processor is executed, it is used to implement the aforementioned driving method.

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

According to the solution of the present invention, the driving method determines the driving mode on the driving path of the vehicle according to the road segment type of the long-range road data or in combination with the road segment type and road segment characteristics, and determines the driving mode on the vehicle driving path according to the road segment type of the short-range road data or according to the short-range road data. The type of road section and the characteristics of the road section are constantly revised and adjusted to adjust the driving mode, so that the engine of the vehicle can work in the high economic zone as much as possible. That is to say, the solution of the present invention determines the driving mode in combination with 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, so as to ensure that the vehicle works in the most economical way possible. Area.

Further, by updating the first unit mileage energy consumption comparison table and the second unit mileage energy consumption comparison table, and by looking up the table to obtain the unit mileage energy consumption value of each road section of the long-range road and the short-range road, and finally converted to the corresponding road section. The SOC consumption value of the first mileage energy consumption comparison table and the second mileage energy consumption comparison table are continuously updated to the actual unit energy consumption value, so that the energy consumption comparison table based on the first mileage energy consumption and the energy consumption per unit mileage comparison table and The energy consumption value estimated by the second unit mileage energy consumption comparison table is as close as possible to the actual energy consumption value, so as to obtain the accurate SOC consumption value, and then formulate the driving mode that saves the most fuel and uses the pure electric drive to the maximum extent.

Further, by formulating the driving charging strategy in the hybrid driving mode, and by obtaining the precise SOC consumption value of each road section in the driving charging, and using the precise SOC consumption value as the target SOC value, the engine torque is adjusted to allow the engine While maintaining the high economic zone as much as possible, it can recover energy, save fuel to the greatest extent, improve the fuel thermal efficiency and the fuel economy of the engine, and reduce the fuel consumption of the whole vehicle, so as to achieve the purpose of energy saving and environmental protection and the use of electric motor drive as much as possible.

In addition, the application creatively injects the idea of statistics and big data, and at a level other than physics, the first unit mileage energy consumption comparison table and the second unit mileage energy consumption comparison table are continuously updated and revised. With the increase of SOC, the calculated SOC consumption value will be closer to the actual value, so that the calculated SOC consumption value will be more accurate, and then a driving strategy that minimizes the energy consumption value will be formulated.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

The above and other objects, advantages and features of the present invention will be more apparent to those skilled in the art from the following detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings.

Description of drawings

Hereinafter, some specific embodiments of the present invention will be described in detail by way of example and not limitation with reference to the accompanying drawings. The same reference numbers in the figures designate the same or similar parts or parts. It will be understood by those skilled in the art that the drawings are not necessarily to scale. In the attached picture:

FIG. 1 shows a schematic flowchart of a driving method for a hybrid vehicle according to Embodiment 1 of the present invention;

Figure 2 shows a typical engine universal characteristic curve;

FIG. 3 shows a schematic flowchart of a driving method for a hybrid vehicle according to Embodiment 2 of the present invention;

Fig. 4 shows another schematic flow chart of the driving method for a hybrid vehicle according to the second embodiment of the present invention;

FIG. 5 is a schematic diagram showing the update process of the first unit mileage energy consumption comparison table involved in step S120 in FIG. 4;

Fig. 6 shows the update mechanism diagram of the first unit mileage energy consumption comparison table according to the second embodiment of the present invention;

Fig. 7 shows another schematic flow chart of the driving method for a hybrid vehicle according to the second embodiment of the present invention;

FIG. 8 is a schematic diagram showing the update process of the second energy consumption per mileage comparison table involved in step S220 in FIG. 7 .

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below 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 may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

Example 1:

FIG. 1 shows a schematic flowchart of a driving method for a hybrid vehicle according to an embodiment of the present invention. As shown in FIG. 1 , the driving method may include at least the following steps S100 to S500:

Step S100, obtaining long-range road data from the starting position of the vehicle to the first preset distance in front, and short-range road data starting from the current actual position of the vehicle to the second preset distance in front, where the starting position of the vehicle is The vehicle position when a trigger request for acquiring long-range road data is received, where the first preset distance is greater than the second preset distance.

Step S200 , classify the long-range roads covered by the long-range road data according to the traffic flow speed and road gradient information in the long-range road data, and obtain the road segment type of each road segment of the long-range road.

Step S300: Calculate and obtain the road segment characteristics of each road segment of the long-range road, and when the current battery SOC value cannot meet the full range of driving in the pure electric drive mode, according to the road segment type of each road segment of the long-range road and the preset road segment type and driving. The corresponding relationship of the driving modes determines the driving driving mode of each section of the long-range road.

Step S400, classifying the short-range roads covered in the short-range road data according to the traffic flow speed and road gradient information in the short-range road data, to obtain the road segment type of each road segment of the short-range road.

Step S500: Calculate and obtain the segment features of each segment of the short-range road, and use the segment type of each segment of the short-range road to correct the segment type of the corresponding segment in the long-range road, thereby adjusting the driving mode of the corresponding segment.

For the calculations to be performed in the embodiments of the present invention, including road division, energy consumption calculation, etc., a large amount of computing resources and storage resources are required. The present invention selectively puts the calculation in the cloud or in the vehicle-mounted controller. For hybrid vehicles that are not configured with the cloud, the calculation process is done locally in the onboard controller. For a hybrid vehicle configured with the cloud, the calculation process is selected to be completed in the cloud or in the local vehicle controller according to arbitration conditions such as whether to activate the cloud. Before introducing the above steps in detail, the following systems need to be introduced:

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

VEC subsystem: responsible for receiving map information, making energy consumption predictions and sending control strategy requests.

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

PROPULSION Subsystem: Adjusts the drive mode and torque distribution strategy.

Wherein, 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, receiving The data fields are divided into short-range map information, long-range map information and vehicle current location information. The short-range map information is short-range road data, and the long-range map information is long-range road data.

The short-range road data is map data from the current position of the vehicle to the second preset distance (eg, 2500m) ahead. The long-range road data is map data from the starting position of the vehicle to the first preset distance ahead (eg, 252 km). The short-range road data and the long-range road data include road gradient and traffic flow speed information, and the information transmission policy is changed from near to far. That is, as the vehicle moves forward, in the process of expanding the line-of-sight of the long- and short-range road data, if the traffic flow or slope information jumps on the part of the road segment where the long- and short-range line-of-sight expands, the ADAS subsystem sends the information jump. The position of the change point and the value after the specific jump.

In step S200, before the road division is performed on 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 vehicle speed, slope, weather, road type, road speed limit, and traffic signals. The long-range road data can be divided into ordinary road sections and special road sections according to these attribute characteristics, and the special road sections can be further divided into congested road sections, long uphill sections, long downhill sections and variable distance ahead sections. The number of common road sections and special road sections is uncertain, which is related to the actual road conditions.

Wherein, in step S300, if it is detected that the current battery SOC value can satisfy the full range of driving in the pure electric driving mode, the driving is carried out in the pure electric driving mode for the full range. That is, this step further 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; determining that the mileage corresponding to the current battery SOC value is greater than the remaining mileage , formulate a pure electric drive driving strategy for the vehicle. That is to say, the vehicle calculates the mileage corresponding to the current battery SOC value in real time. When the remaining battery energy is sufficient to complete the entire trip, the vehicle will complete all remaining trips in pure electric drive mode, and will try to drain the battery as much as possible when reaching the destination. available power.

In step S400, the division of the short-range road data is the same as the division of the long-range road data. It is necessary to extract road attribute features of short-range road data. The road attribute features also include road dynamic traffic flow speed, static vehicle speed, slope, weather, road type, road speed limit, traffic signals and other attribute features. According to these attribute features, short-range road data can also be divided into common road sections and special road sections, and special road sections can be further divided into congested road sections, long uphill sections, long downhill sections and variable distance ahead sections.

Similarly, the number of ordinary sections and special sections of short-range roads is also uncertain, which is related to the actual situation of the road. After the long-range road data and the short-range road data are divided, it is necessary to record the starting points, that is, the endpoints of the long-range road data and the short-range road data, or calculate the length data of each road segment, so that in the subsequent step S500, the short Segment Type for Range Roads Modifies the segment types for long range roads.

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 in the long-range road, to judge whether the two are consistent; The segment type of the segment in the road is updated to the segment type of the corresponding segment in the short-range road, and the driving mode of the segment is determined according to the updated segment type of the segment in the long-range road. And, in the step of determining the driving mode of the road segment according to the segment type of the segment in the updated long-range road: when the segment type of the segment in the updated long-range road is an ordinary segment, the road segment adopts a hybrid drive mode. The driving mode of the 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 driving mode of the pure electric driving mode.

When the driving driving mode is the hybrid driving mode, the driving charging strategy is always executed except that the driving charging is terminated in the following situations: the engine load of the vehicle leaves the running economic zone upwards. By monitoring the engine speed and torque of the vehicle during driving charging, it can be judged whether the engine load leaves the operating economic zone upwards. The drive system monitors the speed and torque of the engine in real time, and judges whether to allow the engine to be charged during driving according to the distribution of the speed and torque in the universal characteristic map. At the same time, according to the power and torque request of the whole vehicle and the charging power request, the working state of the engine is adjusted to make the engine run in the economic zone as much as possible, thereby improving the fuel thermal efficiency and the fuel economy of the engine, and reducing the fuel consumption of the whole vehicle.

Figure 2 shows a typical universal characteristic curve of an engine. As shown in Figure 2, the x-axis is the engine speed, the y-axis is the torque provided by the engine, and the contour line in the figure is the consumption required for the engine to emit 1kwh of effective energy The fuel mass in g/kwh. It can be seen from the figure that maintaining the engine speed and providing torque within a certain range can make the engine fuel consumption rate reach the optimal state, even if the engine is in the economical zone. For example, the area in the contour map corresponding to the minimum fuel quality per unit energy consumption (the area marked with 198) is the highest economic area of the engine.

Correspondingly, an embodiment of the present invention also provides a driving system for a hybrid vehicle, including a control device, wherein the control device includes a memory and a processor, the memory stores a control program, and the control program is When the processor is executed, it is used to realize the driving method of the first embodiment.

Correspondingly, an embodiment of the present invention also provides a hybrid vehicle, including the driving system of the first embodiment. According to the solution of the present invention, the driving method determines the driving mode on the driving path of the vehicle according to the road segment type of the long-range road data, and continuously corrects and adjusts the driving driving mode according to the road segment type of the short-range road data, so that the engine of the vehicle can be adjusted. Work in a high economic zone as much as possible. That is to say, the solution of the present invention determines the driving mode in combination with 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, so as to ensure that the vehicle works in the most economical way possible. Area.

Embodiment 2:

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

Step S100, obtaining long-range road data from the starting position of the vehicle to the first preset distance in front, and short-range road data starting from the current actual position of the vehicle to the second preset distance in front, where the starting position of the vehicle is The vehicle position when a trigger request for acquiring long-range road data is received, where the first preset distance is greater than the second preset distance.

Step S200 , classify the long-range roads covered by the long-range road data according to the traffic flow speed and road gradient information in the long-range road data, and obtain the road segment type of each road segment of the long-range road.

Step S300: Calculate and obtain the road segment characteristics of each road segment of the long-range road, and when the current battery SOC value cannot meet the full range of driving in the pure electric drive mode, combine the road segment type of each road segment, the road segment characteristics of the corresponding road segment, and the preset road segment type. . The corresponding relationship between the road section features and the driving mode determines the driving mode of each road section of the long-range road.

Step S400, classifying the short-range roads covered in the short-range road data according to the traffic flow speed and road gradient information in the short-range road data, to obtain the road segment type of each road segment of the short-range road.

Step S500 ′, calculate and obtain the section features of each section of the short-range road, and use the section type of each section of the short-range road and the section feature of the corresponding section to perform the section type of the corresponding section and the section feature of the corresponding section in the long-range road. Correction to adjust the driving mode of the corresponding road section.

The difference between the second embodiment and the first embodiment is that, in the second embodiment, in step S500 ′, the road segment type and The step of correcting the road section characteristics of the corresponding road section, so as to adjust the driving mode of the corresponding road section, includes: 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, to determine whether the two are not. Consistent, for the road segments with inconsistent road segment types, update the road segment type and road segment characteristics of the road segment in the long-range road to the road segment type and road segment characteristics of the corresponding road segment in the short-range road, according to the updated long-range road. The road segment type and road segment characteristics determine the driving mode of the road segment.

Wherein, the road section features include the road section length of each road section, the SOC consumption value of each road section, and the like.

As shown in Figure 4, the length of each section of the long-range road and the SOC consumption value of each section are calculated as follows:

Step S110, calculating the length of each road section in the long-range road according to the long-range road data;

Step S120, obtaining the first unit energy consumption value of each road section in the long-range road by querying the first unit mileage energy consumption comparison table;

Step S130, multiplying the first unit energy consumption value of each road section by the road section length of the corresponding road section to obtain the first energy consumption value of each road section in the long-range road;

In step S140, the first energy consumption value of each road section is converted into the SOC consumption value of each road section, so as to obtain the SOC consumption value of each road section in the long-range road.

In step S120, the first energy consumption per mileage comparison table is a correspondence table between different road parameters in the long-range road data obtained through a large amount of training and learning in the early stage and the energy consumption per mileage value of the long-range road. The road parameters include at least traffic flow speed and road gradient information. At the same time, the first unit mileage energy consumption comparison table is constantly updated and dynamically changes. In order to reflect the dynamic variability of the first energy consumption per mileage comparison table, the driving method may further include an update process of the first unit mileage energy consumption comparison table. As shown in Figure 5, the update process of the first unit mileage energy consumption comparison table specifically includes:

Step S121, obtaining the actual energy consumption value of the vehicle in each section of the long-range road;

Step S122, dividing the actual energy consumption value of each road section by the road section length of the corresponding road section, thereby obtaining the actual unit energy consumption value of each road section;

Step S123: Update the unit energy consumption value of each road section in the preset first unit mileage energy consumption comparison table to the actual unit energy consumption value of the corresponding road section, thereby updating the first unit mileage energy consumption comparison table.

Wherein, the first energy consumption per mileage comparison table is a first unit mileage energy consumption comparison table corresponding to the current driver obtained by matching from a database including a plurality of drivers one-to-one corresponding energy consumption per mileage correspondence tables.

Fig. 6 is a diagram showing an update mechanism of the first energy consumption per mileage comparison table according to the second embodiment of the present invention. As shown in FIG. 6 , the first energy consumption per mileage comparison table is the first energy consumption per mileage comparison table corresponding to the current driver's identity. That is to say, each driver corresponds to a first unit mileage energy consumption comparison table matched with the driver. Therefore, the driving method also needs to include the step of acquiring the current driver's identity. As for how to obtain the driver's identity, there are many existing technologies, which will not be repeated here.

Therefore, before step S120, the following step is further included: selecting the first energy consumption per mileage comparison table corresponding to the current driver from the database including the corresponding tables of energy consumption per mileage corresponding to multiple drivers one-to-one. When the information of the current driver does not exist in the database, the current driver is determined as a new driver, and a separate first unit mileage energy consumption comparison table is established for the new driver at the same time. That is to say, the driver is bound to the ID used to represent the unique identification and the historical energy consumption information of the vehicle, and a corresponding first unit mileage energy consumption comparison table is established for each driver ID, which is used to represent a specific driver. The energy consumption value under a certain weather condition and road condition, meanwhile, the characteristics of the energy consumption data can truly reflect the driving habits of the driver.

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 converted by looking up a table. That is to say, the first energy consumption value of each road section can be converted into the SOC consumption value of each road section by looking up a table.

In the same way, the calculation method of the length of each section of the short-range road and the SOC consumption value of each road section is the same as that of the long-range road, as shown in Figure 7, calculated as follows:

Step S210, calculating and obtaining the length of each road section in the short-range road according to the short-range road data;

Step S220, obtaining the second unit energy consumption value of each road section in the short-range road by querying the second unit mileage energy consumption comparison table;

Step S230, multiplying the second unit energy consumption value of each road section 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;

Step S240, converting the second energy consumption value of each road section into the SOC consumption value of each road section, so as to obtain the SOC consumption value of the corresponding road section in the short-range road.

In step S220, the second energy consumption per mileage comparison table is a correspondence table between different road parameters in the short-range road data obtained through a large amount of training and learning in the early stage and the energy consumption per mileage value of the long-range road. The road parameters include at least traffic flow speed and road gradient information. At the same time, the second unit mileage energy consumption comparison table is constantly updated and dynamically changed. In order to reflect the dynamic variability of the second energy consumption per mileage comparison table, the driving method may further include an update process of the second energy consumption per mileage comparison table. As shown in Figure 8, the update process of the second unit mileage energy consumption comparison table specifically includes:

Step S221, obtaining the actual energy consumption value of the vehicle in each section of the short-range road;

Step S222, dividing the actual energy consumption value of each road section by the road section length of the corresponding road section, so as to obtain the actual unit energy consumption value of each road section in the short-range road;

Step S223: Update the unit energy consumption value of each road section in the preset second unit mileage energy consumption comparison table to the actual unit energy consumption value of the corresponding road section, thereby updating the second unit mileage energy consumption comparison table.

Wherein, the second energy consumption per mileage comparison table is a second energy consumption per mileage comparison table corresponding to the current driver obtained by matching from a database including a plurality of drivers one-to-one corresponding energy consumption per mileage correspondence tables.

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

When the segment type of the segment in the updated long-range road is an ordinary segment, and the segment length of the ordinary segment is greater than the preset length, the segment adopts the driving mode of the hybrid drive mode;

When the road segment type of the road segment in the updated long-range road is 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 the driving driving mode of the pure electric driving mode.

In this embodiment, when the driving charging strategy is executed, the SOC consumption value of each section of the long-range road and the short-range road is calculated, and the SOC consumption value of each section of the short-range road is used to correct the SOC consumption value of the corresponding section of the long-range road , obtain the corrected SOC consumption value of each road section of the long-range road, and use the corrected SOC consumption value of each road section as the target SOC value of the corresponding road section in the driving charging strategy.

Among them, the driving charging strategy includes driving charging by recovering gravitational potential energy when driving downhill. That is to say, the road network data from the ADAS subsystem will inform the relevant controller of the vehicle that the road ahead will experience a significant drop in altitude after a specific coordinate position. At this time, the drive system will reduce the power as much as possible before the road altitude drops The output is distributed to the high-voltage battery. When going downhill, the kinetic energy generated by the drop of gravitational potential energy is recovered through energy recovery, so that the SOC of the power battery increases. Therefore, in the embodiment of the present invention, in the face of a known altitude drop, the vehicle will make preparations for recovering potential energy in advance, and fully recover the gravitational potential energy when the vehicle is running downhill. Therefore, the problem of wasting energy consumption during the downhill process of the vehicle can be solved, and at the same time, the problems of low energy recovery efficiency and insufficient battery remaining during the downhill process can be avoided.

When the vehicle drives forward, the predicted energy consumption value will change, that is, the calculated energy consumption value of each road section will change, so the SOC consumption value will change dynamically with the increase or decrease of the special road section. When there is a long downhill road, the SOC consumption value of the battery may be negative due to coasting energy recovery.

Correspondingly, an embodiment of the present invention also provides a driving system for a hybrid vehicle, including a control device, wherein the control device includes a memory and a processor, the memory stores a control program, and the control program is When the processor is executed, it is used to realize the driving method of the second embodiment.

Correspondingly, the embodiment of the present invention also provides a hybrid vehicle, including the driving system of the second embodiment. In a specific embodiment of the present invention, the driving method sequentially includes:

Step 1), 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 will send a data request to the ADAS subsystem and enter the data receiving state. The data fields are divided into short-range map information, long-range map information, and current position information of the vehicle.

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 section starting from the starting position of the vehicle. The short-range and long-range map information is divided into two independent messages. to send.

Step 3), the VEC subsystem creates two ring registers, which respectively receive the long and short-range map information sent from the ADAS subsystem. At the same time as the data is received, the traffic flow speed and gradient information are quantified and graded. According to the delineated gradient and speed Route classification (special/common) by order of magnitude, calculate the length of the road section, check and store the unit energy consumption and road section number according to the energy consumption per unit mileage comparison table. The data content in the ring register is the distance from the starting position of the vehicle, the traffic flow level, the slope level, the road segment type, the path length, the SOC consumption value and the road segment number, etc.

It is worth noting that while the data is received, the vehicle may have already started to move forward according to the owner's wishes. As the vehicle moves forward, the long- and short-range line-of-sight is updated, and the updated data will be sequentially stored in the ring register.

Step 4), when the long-range map information received by the 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, the VEC subsystem will close the monitoring of the long-range map information message. . At the same time, the VEC subsystem will start monitoring the navigation information update flag and the current position of the vehicle.

Step 5), the VEC subsystem starts to monitor the current vehicle position information, and locates the description of the current road section in the ring register corresponding to the short range according to the current vehicle position information. The vehicle location information update cycle is 1 second.

a) If the reverse lookup location currently belongs to a common road segment and the length of the common road segment exceeds 400m, the VEC subsystem will accumulate the road energy consumption in front of the current actual vehicle position in the long-range and short-range ring registers respectively, and use (long-range road segment - short The cumulative energy consumption of the range road section) + the cumulative energy consumption of the short-range road section to obtain the total energy consumption ahead. Request to set the drive mode to hybrid drive, and send a driving charge request to the EM subsystem to set the expected SOC for driving charging to the calculated total energy consumption. The PROPULSION subsystem receives the driving charging demand torque requested by the EM subsystem, and combines the user's torque request and the working economic state of the engine to perform dynamic torque allocation to ensure that the engine works in the economic zone. target SOC.

b) If the reverse lookup location currently belongs to a special road section, the VEC subsystem will calculate the total energy consumption before the next normal road section according to the information in the two ring registers. If the calculated total energy consumption is greater than 1% SOC, it will be requested to set The drive mode is pure electric drive. In this drive mode, the principle of priority power consumption will be adopted, and the PROPULSION subsystem will give priority to the motor to provide torque according to the torque requested by the user at that time.

Step 6), in the process of energy consumption calculation in step 5), the data of the two ring registers need to be latched. At this time, the information update caused by the expansion of the short-range map line of sight from the ADAS subsystem will be stored in a temporary FIFO register, until the end of the energy consumption calculation, then perform the operation of step 3) to read and write to the ring register corresponding to the short-range information.

Step 7), when in step 6), the data information in the short-range ring register is updated, or in step 5), the type of road segment that is reversely checked by the received current position information of the vehicle jumps, then triggers the step 5) in. a), b) process. This step belongs to the interrupt type operation and has a higher priority than step 8).

During the process of step 8), step 5), 6), and 7), if the VEC subsystem monitors that the navigation information update flag bit is enabled, or the current vehicle position information is more than 51km away from the starting position of the vehicle, the VEC subsystem The system will create an additional ring register for storing long-range information, repeat steps 1), 2), 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 reaches the conditions listed in step 4), and then steps 5) and 6) 7) The calculated benchmark data is migrated to the new ring register, and the old long-range information register is cleared.

According to the solution of the present invention, the driving method passer determines the driving mode on the driving path of the vehicle in combination with the road segment type and road segment characteristics, and continuously corrects and adjusts the driving driving mode according to the road segment type and road segment characteristics of the short-range road data, so that the vehicle The engine works in the high economic zone as much as possible. That is to say, the solution of the present invention determines the driving mode in combination with 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, so as to ensure that the vehicle works in the most economical way possible. Area.

Further, by updating the first unit mileage energy consumption comparison table and the second unit mileage energy consumption comparison table, and by looking up the table to obtain the unit mileage energy consumption value of each road section of the long-range road and the short-range road, and finally converted to the corresponding road section. The SOC consumption value of the first mileage energy consumption comparison table and the second mileage energy consumption comparison table are continuously updated to the actual unit energy consumption value, so that the energy consumption comparison table based on the first mileage energy consumption and the energy consumption per unit mileage comparison table and The energy consumption value estimated by the second unit mileage energy consumption comparison table is as close as possible to the actual energy consumption value, so as to obtain the accurate SOC consumption value, and then formulate the driving mode that saves the most fuel and uses the pure electric drive to the maximum extent.

Further, by formulating the driving charging strategy in the hybrid driving mode, and by obtaining the precise SOC consumption value of each road section in the driving charging, and using the precise SOC consumption value as the target SOC value, the engine torque is adjusted to allow the engine While maintaining the high economic zone as much as possible, it can recover energy, save fuel to the greatest extent, improve the fuel thermal efficiency and the fuel economy of the engine, and reduce the fuel consumption of the whole vehicle, so as to achieve the purpose of energy saving and environmental protection and the use of electric motor drive as much as possible.

In addition, the application creatively injects the idea of statistics and big data, and at a level other than physics, the first unit mileage energy consumption comparison table and the second unit mileage energy consumption comparison table are continuously updated and revised. With the increase of SOC, the calculated SOC consumption value will be closer to the actual value, so that the calculated SOC consumption value will be more accurate, and then a driving strategy that minimizes the energy consumption value will be formulated.

By now, those skilled in the art will recognize that, although exemplary embodiments of the present invention have been illustrated and described in detail herein, it is still possible to directly follow the present disclosure without departing from the spirit and scope of the present invention. Numerous other variations or modifications can be identified or derived consistent with the principles of the present invention. Accordingly, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims (16)

1. A driving method for a hybrid vehicle, comprising:

   Obtain long-range road data from the starting position of the vehicle to the first preset distance in front, and short-range road data from the current actual position of the vehicle to the second preset distance in front, where the starting position of the vehicle is To the position of the vehicle when the trigger request for obtaining the long-range road data, the first preset distance is greater than the second preset distance;

   classifying the long-range roads covered in the long-range road data according to the traffic flow speed and road gradient information in the long-range road data, to obtain the road segment type of each road segment of the long-range road;

   Calculate and obtain the road segment characteristics of each road segment of the long-range road, and when the current battery SOC value cannot meet the full range of driving in the pure electric drive mode, according to the road segment type of each road segment of the long-range road and the preset road segment type and The corresponding relationship of the driving driving modes, or determining the driving driving mode of each section of the long-range road in combination with the section type of each road section, the road section characteristics of the corresponding road section, and the preset corresponding relationship between the road section type, road section characteristics and the driving driving mode;

   classifying the short-range roads covered in the short-range road data according to the traffic flow speed and the road gradient information in the short-range road data, to obtain the road segment type of each road segment of the short-range road;

   Calculate and obtain the link characteristics of each link of the short-range road, and use the link type of each link of the short-range road to correct the link type of the corresponding link in the long-range road, or use the short-range road The road segment type of each road segment and the road segment characteristics of the corresponding road segment are modified to correct the road segment type and the road segment characteristics of the corresponding road segment in the long-range road, so as to adjust the driving mode of the corresponding road segment.
2. The driving method according to claim 1, wherein,

   The step of correcting the road segment type of the corresponding road segment in the long-range road by using the road segment type of each road segment of the short-range road, so as to adjust the driving mode of the corresponding road segment, includes:

   comparing the road segment types of each road segment of the short-range road with the road segment types of the corresponding road segments in the long-range road, to determine whether the two are consistent,

   For a road segment with inconsistent road segment types, update the segment type of the road segment in the long-range road to the segment type of the corresponding road segment in the short-range road, and update the segment type of the road segment in the long-range road according to the updated segment type of the road segment in the long-range road Type determines the driving mode of the road segment.
3. The driving method according to claim 2, wherein the road segment type includes a general road segment and a special road segment; 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 road segment type of the updated road segment in the 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 updated road segment in the long-range road is a special road segment, the road segment adopts the driving driving mode of the pure electric driving mode.
4. The driving method according to claim 1, wherein,

   Using the segment type of each segment of the short-range road and the segment feature of the corresponding segment, the segment type of the corresponding segment and the segment feature of the corresponding segment in the long-range road are corrected, so as to adjust the driving mode of the corresponding segment. steps, including:

   comparing the road segment types of each road segment of the short-range road with the road segment types of the corresponding road segments in the long-range road, to determine whether the two are consistent,

   For the road segments with inconsistent road segment types, update the road segment type and road segment characteristics of the road segment in the long-range road to the road segment type and road segment characteristics of the corresponding road segment in the short-range road, according to the updated long-range road segment. The road segment type and road segment characteristics of the road segment determine the driving mode of the road segment.
5. The driving method according to claim 4, wherein the road section characteristics include the 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 length of each road segment in the long-range road and the SOC consumption value of each road segment are calculated as follows:

   Calculate and obtain the length of each road segment in the long-range road according to the long-range road data;

   Obtain the first unit energy consumption value of each road section in the long-range road by querying the first unit mileage energy consumption comparison table;

   Multiplying the first unit energy consumption value of each road section by the road section length of the corresponding road section to obtain the first energy consumption value of each road section;

   The first energy consumption value of each road section is converted into an SOC consumption value of each road section.
7. The driving method according to claim 6, wherein the first energy consumption per mileage comparison table is a correspondence table between different road parameters in long-range road data and long-range energy consumption per mileage value, and the driving Methods also include:

   obtaining the actual energy consumption value of the vehicle in each section of the long-range road;

   Divide the actual energy consumption value of each road segment by the road segment length of the corresponding road segment to obtain the actual unit energy consumption value of each road segment;

   The unit energy consumption value of each road section in the preset first unit mileage energy consumption comparison table is updated to the actual unit energy consumption value of the corresponding road section, thereby updating the first unit mileage energy consumption comparison table.
8. The driving method according to claim 5, wherein the length of each road segment in the short-range road and the SOC consumption value of each road segment are calculated as follows:

   Calculate and obtain the length of each road segment in the short-range road according to the short-range road data;

   Obtain the second unit energy consumption value of each road section in the short-range road by querying the second unit mileage energy consumption comparison table;

   multiplying the second unit energy consumption value of each road section by the road section length of the corresponding road section to obtain the second energy consumption value of each road section;

   The second energy consumption value of each road section is converted into an SOC consumption value of each road section.
9. The driving method according to claim 8, wherein the second energy consumption per mileage comparison table is a correspondence table between different road parameters in short-range road data and short-range energy consumption per mileage value, and the driving Methods also include:

   obtaining the actual energy consumption value of the vehicle in each section of the short-range road;

   Dividing the actual energy consumption value of each road section by the road section length of the corresponding road section to obtain the actual unit energy consumption value of the corresponding road section;

   The unit energy consumption value of each road section in the preset second unit mileage energy consumption comparison table is updated to the actual unit energy consumption value of the corresponding road section, thereby updating the second unit mileage energy consumption comparison table.
10. The driving method according to claim 5, wherein the road segment types include ordinary road segments and special road segments; and

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

    When the road segment type of the updated road segment in the long-range road is an ordinary road segment, and the segment length of the ordinary road segment is greater than the preset length, the road segment adopts the driving mode of the hybrid drive mode;

    When the road segment type of the updated road segment in the long-range road is 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 the driving driving mode of the pure electric driving mode.
11. The driving method according to any one of claims 1-10, wherein, when the driving driving mode is a hybrid driving mode, the driving charging strategy is always executed unless the driving charging is terminated in the following situations:

    The vehicle's engine load moves up out of the operating economic zone.
12. The driving method according to claim 11, wherein when executing the driving charging strategy, the SOC consumption value of each section of the long-range road and the short-range road is calculated, and the SOC consumption of each section of the short-range road is used. Correct the SOC consumption value of the corresponding section of the long-range road, obtain the revised SOC consumption value of each section of the long-range road, and use the revised SOC consumption value of each section as the driving charging strategy of the corresponding section. target SOC value in .
13. The driving method according to claim 6, wherein the first energy consumption per unit mileage comparison table is a matching table corresponding to the current driver obtained from a database including a one-to-one correspondence table of energy consumption per unit mileage for multiple drivers. The first unit mileage energy consumption comparison table.
14. The driving method according to claim 8, wherein the second energy consumption per mileage comparison table is a matching table corresponding to the current driver obtained from a database including a one-to-one correspondence table of energy consumption per unit mileage for multiple drivers. The second unit mileage energy consumption comparison table.
15. A driving system for a hybrid vehicle includes a control device, the control device includes a memory and a processor, the memory stores a control program, and when the control program is executed by the processor, the The driving method of any one of claims 1-14.
16. A hybrid vehicle comprising the driving system of claim 15 .

Images