Hybrid vehicle control method and device, hybrid vehicle and storage medium

Abstract

The invention relates to a hybrid power vehicle control method and device, a hybrid power vehicle and a storage medium, and belongs to the technical field of energy management.The hybrid power vehicle control method comprises the steps that historical driving data of the hybrid power vehicle on a target fixed road section is obtained, the historical driving data comprises road condition data of the target fixed road section and power battery data of the hybrid vehicle driving on the target fixed road section; and iteratively optimizing a charging and discharging strategy of the hybrid vehicle when the hybrid vehicle runs on the fixed road section based on the road condition data and the power battery data so as to reduce the oil consumption of the hybrid vehicle when the hybrid vehicle runs on the fixed road section. The method does not need to depend on a high-precision map, the charging and discharging strategy of the hybrid power vehicle is controlled according to the historical driving data of the vehicle, energy-saving control over map-free road sections can be achieved, normal driving of the hybrid power vehicle is guaranteed, and energy is saved.

Description

Technical Field

[0001] The present invention relates to the field of energy management technology, and in particular to a hybrid vehicle control method and device, a hybrid vehicle and a storage medium. Background Art

[0002] With the continuous development of vehicle battery technology, hybrid vehicles have also been widely used in commercial fields.

[0003] Compared with traditional fuel vehicles and pure electric vehicles, hybrid vehicles have extremely complex power transmission systems. They need to switch between fuel, pure electric, and hybrid modes according to the vehicle's power requirements, battery power management, and brake energy recovery conditions, and manage the energy output of multiple power sources to meet the vehicle's power and fuel-saving requirements. Due to layout space and cost constraints, hybrid vehicles have limited battery capacity. If the battery SOC is not properly managed, when encountering long-distance slope driving, the battery will be exhausted when going uphill, and it cannot support the power requirements of the vehicle's hybrid mode; when going downhill, the battery will be quickly filled up through brake energy recovery, and the fuel-saving effect is poor. In the existing hybrid vehicle energy relationship technology, the main method is to manage the charging and discharging of the power battery in advance, adjust the power battery power, optimize the vehicle energy recovery strategy, etc., based on the slope, speed limit and traffic information of the road ahead provided by the high-precision map, as well as the power requirements and speed prediction of the vehicle, to achieve the purpose of energy saving for the whole vehicle. However, it is too dependent on high-precision maps and cannot be implemented on sections without high-precision maps.

[0004] This shows that the existing technology relies too much on high-precision maps in the energy management technology of hybrid vehicles and cannot be applied to roads without high-precision maps. Summary of the invention

[0005] In view of this, it is necessary to provide a hybrid vehicle control method, device, hybrid vehicle and storage medium to solve the problem that the existing technology for hybrid vehicle energy management technology relies too much on high-precision maps and cannot be applied to road sections without high-precision maps.

[0006] In order to solve the above problems, the present invention provides a hybrid vehicle control method, comprising: Acquiring historical driving data of a hybrid vehicle on a target fixed road section, wherein the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle when traveling on the target fixed road section; The charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section is iteratively optimized based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

[0007] In a possible implementation manner, the acquiring historical driving data of the hybrid vehicle on a fixed road section includes: Acquiring road condition data of the target fixed road section based on a vehicle-mounted positioning device and a vehicle-mounted slope sensor, wherein the road condition data includes length and slope information of the target fixed road section; Based on the vehicle battery management system, power battery data of the vehicle traveling on the target fixed section is obtained, and the power battery data includes the remaining battery power of the hybrid vehicle at the starting point and the end point of the target fixed section and the charging and discharging time of the hybrid vehicle while traveling.

[0008] In a possible implementation, the iterative optimization of the charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section based on the road condition data and the power battery data to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section includes: Based on the length and slope information of the target fixed section, the remaining battery power of the hybrid vehicle at the starting point of the target fixed section is adjusted, and the charging and discharging strategy of the hybrid vehicle when traveling on the target fixed section is controlled to reduce the charging time of the hybrid vehicle when traveling on the target fixed section.

[0009] In a possible implementation manner, adjusting the remaining battery power of the hybrid vehicle at the starting point of the target fixed road section includes: Calculating the optimal remaining power of the hybrid vehicle at the starting point of the target fixed road section based on the length and slope information of the target fixed road section and the power demand information of the hybrid vehicle when traveling on the target fixed road section; The hybrid vehicle is charged or discharged in advance to ensure that the remaining power of the hybrid vehicle is the optimal remaining power when it reaches the starting point of the target fixed road section.

[0010] In a possible implementation manner, controlling the charging and discharging strategy of the hybrid vehicle when traveling on the target fixed road section to reduce the charging time of the hybrid vehicle when traveling on the target fixed road section includes: Based on the fuel consumption information of the engine of the hybrid vehicle when traveling on the target fixed road section; The power battery of the hybrid vehicle is controlled to be charged according to the fuel consumption information when the engine is in a low fuel consumption state.

[0011] In a possible implementation manner, controlling the power battery of the hybrid vehicle to charge when the engine is in a low fuel consumption state according to the fuel consumption information includes: When the hybrid vehicle needs to climb a slope, the power battery is controlled to be charged before climbing the slope to ensure that the power battery is in a discharged state when the vehicle climbs the slope.

[0012] In a possible implementation, the method further includes: Based on the historical driving data, a power battery energy management map is created, and the power battery energy management map can indicate the charging and discharging strategy of the vehicle when traveling on the target fixed road section.

[0013] The present invention also provides a hybrid vehicle control device, comprising: A historical data acquisition module, used to acquire historical driving data of the hybrid vehicle on a target fixed road section, wherein the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle when driving on the target fixed road section; A control module is used to iteratively optimize the charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

[0014] The present invention also provides a hybrid vehicle, comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the hybrid vehicle control method described in any one of the above embodiments.

[0015] The present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the hybrid vehicle control method described in any of the above embodiments.

[0016] The beneficial effects of the present invention are as follows: the hybrid vehicle control method provided by the present invention obtains the historical driving data of the vehicle on the target fixed section, the historical driving data includes the road condition data of the target fixed section and the power battery data of the hybrid vehicle driving on the target fixed section, and iteratively optimizes the charging and discharging strategy of the hybrid vehicle when driving on the fixed section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when driving on the fixed section. The present invention does not need to rely on high-precision maps, but controls the charging and discharging strategy of the hybrid vehicle according to the historical driving data of the vehicle, can realize energy-saving control of unmapped sections, ensure the normal driving of the hybrid vehicle, and save energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic flow chart of a hybrid vehicle management method provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of a method for acquiring historical driving data provided by an embodiment of the present invention; Figure 3 A flowchart of a method for determining remaining power provided by an embodiment of the present invention; Figure 4 A schematic diagram of battery power in a downhill condition provided by an embodiment of the present invention; Figure 5 A flowchart of a battery charging control method provided by an embodiment of the present invention; Figure 6 A schematic diagram of battery power in an uphill condition provided by an embodiment of the present invention; Figure 7 A schematic structural diagram of a hybrid vehicle control device provided by an embodiment of the present invention; Figure 8 A schematic structural diagram of a hybrid vehicle provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the present invention and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] A specific embodiment of the present invention, as Figure 1 As shown, a hybrid vehicle control method is disclosed, comprising: S101, acquiring historical driving data of a hybrid vehicle on a target fixed road section, where the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle driving on the target fixed road section; S102, iteratively optimizing the charging and discharging strategy of the hybrid vehicle when traveling on a fixed road section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

[0023] In the embodiment of the present invention, the target fixed road section refers to the fixed road section where the hybrid vehicle travels, and there is no high-precision map for this road section, such as the mine road where the mining car travels, the construction site road when the engineering dump truck travels on the construction site, the field road, etc. For the above roads, the vehicle generally travels back and forth repeatedly according to a fixed route. Based on this, the historical driving data of the hybrid vehicle traveling back and forth on the road section can be obtained, wherein the historical driving data includes the road condition data of the target fixed road section and the power battery data of the hybrid vehicle traveling on the target fixed road section. Specifically, the road condition data may include information such as the length and slope of the target fixed road section, and the power battery data may include information on the remaining battery power, battery charging and discharging data, etc.

[0024] Furthermore, based on the historical driving data of the hybrid vehicle on the target fixed section, the charging and discharging strategy of the power battery of the hybrid vehicle when driving on the target fixed section is iteratively optimized to reduce the fuel consumption of the hybrid vehicle when driving on the fixed section. Specifically, the driving data of the hybrid vehicle on the target fixed section is recorded each time, and compared with the historical driving data of the previous time. According to the charging and discharging time and duration of the power battery during each driving process, the fuel consumption of the vehicle, etc., the charging and discharging strategy of the power battery of the hybrid vehicle in the next driving is optimized to reduce the fuel consumption of the vehicle. The specific optimization method is described in detail later in the present invention.

[0025] The hybrid vehicle control method provided by the present invention obtains the historical driving data of the vehicle on the target fixed section, the historical driving data includes the road condition data of the target fixed section and the power battery data of the hybrid vehicle driving on the target fixed section, and iteratively optimizes the charging and discharging strategy of the hybrid vehicle when driving on the fixed section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when driving on the fixed section. The present invention does not need to rely on high-precision maps, but controls the charging and discharging strategy of the hybrid vehicle according to the historical driving data of the vehicle, can realize energy-saving control of the map-free section, ensure the normal driving of the hybrid vehicle, and save energy.

[0026] As a possible implementation mode of the present invention, in this implementation mode, Figure 2 As shown, historical driving data of a hybrid vehicle on a fixed road section is obtained, including: S201, acquiring road condition data of a target fixed road section based on a vehicle-mounted positioning device and a vehicle-mounted slope sensor, where the road condition data includes length and slope information of the target fixed road section; S202, acquiring power battery data of the vehicle traveling on a target fixed section based on a vehicle battery management system, wherein the power battery data includes the remaining battery power of the hybrid vehicle at the starting point and the end point of the target fixed section and the charging and discharging time of the hybrid vehicle while traveling.

[0027] In an embodiment of the present invention, the road condition data of the target fixed road section includes the length and slope information of the target fixed road section. The driving path of the vehicle on the target fixed road section can be recorded based on the vehicle-mounted positioning device, and the length of the target fixed road section can be calculated; the slope information of the target fixed road section can be collected by the vehicle-mounted slope sensor. For example, for a mine road where a mine car travels, the target fixed road section is generally a mountain road, and it is a continuous uphill when going uphill and a continuous downhill when going downhill. Then, the length and slope of the uphill and downhill can be determined based on each driving data of the hybrid mine car, which is convenient for subsequent energy management.

[0028] Furthermore, the power battery data of the hybrid vehicle includes the remaining battery power of the hybrid vehicle at the starting point and the end point of the target fixed road section and the charging and discharging time of the hybrid vehicle while driving. Specifically, as shown in the above embodiment, when the hybrid mining car needs to go uphill, the remaining battery power of the vehicle at the starting point of the uphill and the remaining battery power after the vehicle climbs to the top of the slope, as well as the charging and discharging time of the vehicle's power battery while driving and the duration of each charging and discharging can be recorded. It should be noted that for the first end and the second end of the target fixed road section, according to the driving direction of the hybrid vehicle, the first end and the second section can be used as the starting point and the end point respectively, for recording the remaining battery power of the hybrid battery.

[0029] The embodiment of the present invention facilitates the subsequent management of the charging and discharging of the power battery of the hybrid vehicle by acquiring the length and slope information of the target fixed section, the remaining battery power of the hybrid vehicle at the starting point and the end point of the target fixed section, and the charging and discharging time of the hybrid vehicle during driving.

[0030] As a possible implementation of the present invention, in this implementation, the charging and discharging strategy of the hybrid vehicle when traveling on a fixed road section is iteratively optimized based on the road condition data and the power battery data to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section, including: Based on the length and slope information of the target fixed section, the remaining battery power of the hybrid vehicle at the starting point of the target fixed section is adjusted, and the charging and discharging strategy of the hybrid vehicle when traveling on the target fixed section is controlled to reduce the charging time of the hybrid vehicle when traveling on the target fixed section.

[0031] In an embodiment of the present invention, following the aforementioned embodiment, since the vehicle is always in a high power demand state when going uphill, the vehicle needs to continuously output power, wherein the power output modes include pure electric mode, fuel mode and hybrid power mode. In the three power output modes, the power battery cannot be charged, so it is necessary to ensure that the vehicle has sufficient power before climbing the hill to prevent the vehicle from consuming too much fuel. However, for engineering vehicles, since the vehicle travels back and forth more frequently, it is impossible to ensure that the vehicle is fully charged before each climbing. Therefore, it is necessary to adjust the remaining battery power of the hybrid vehicle at the starting point of the target fixed section. At the same time, since the target fixed section may also have flat sections or downhill sections, the charging and discharging time and duration of the power battery when the hybrid vehicle is traveling on the target fixed section can also be controlled to further reduce the vehicle's fuel consumption.

[0032] Specifically, Figure 3 As shown, adjusting the remaining battery power of the hybrid vehicle at the starting point of the target fixed road section includes: S301, calculating the optimal remaining power of the hybrid vehicle at the starting point of the target fixed road section based on the length and slope information of the target fixed road section and the power demand information of the hybrid vehicle traveling on the target fixed road section; S302, charging or discharging the hybrid vehicle in advance to ensure that the remaining power of the hybrid vehicle is the optimal remaining power at the starting point of the target fixed road section.

[0033] In the embodiment of the present invention, when the target fixed road section is a road section with a large slope, such as a mine road where a mine car travels, the vehicle's power battery management strategy is different for the vehicle's uphill and downhill conditions, such as Figure 4As shown in the figure, taking a downhill section as an example, the first downhill trip uses the braking energy recovery mode, and the power battery is 65% before the downhill trip; during the downhill trip, the braking energy is recovered to charge the battery, and the battery SOC (super capacitor state of When the power of the supercapacitor reaches 95% of the set maximum power, the braking energy recovery mode is exited, and the vehicle switches to auxiliary braking or emergency mode. Before the second downhill trip, the data collected by the vehicle for the first time (slope, slope length, vehicle speed, power demand, battery SOC power) is compared, and the hybrid or pure electric mode is used for a distance in advance to discharge the power battery, so that the power battery power reaches 45% before the downhill trip; when the battery SOC reaches the bottom of the slope, the power is 85%; because the battery SOC power is not full (85%) when the second downhill trip reaches the bottom of the slope, it is necessary to increase the advance amount of the discharge distance before the second downhill trip. Before the third climb, the data collected by the previous vehicle (slope, slope length, vehicle speed, power demand, battery SOC power) is compared, and the distance for charging the power battery in advance is increased, so that the power battery power reaches 35% before the downhill trip, and the battery SOC power reaches 95% when the downhill trip reaches the bottom; then, continuous optimization is carried out according to the above method to achieve the best energy management strategy for hybrid vehicles.

[0034] Further, such as Figure 5 As shown, the charging and discharging strategy of controlling the hybrid vehicle when traveling on the target fixed road section to reduce the charging time of the hybrid vehicle when traveling on the target fixed road section includes: S501, based on the fuel consumption information of the engine when the hybrid vehicle is traveling on the target fixed road section; S502, controlling the power battery of the hybrid vehicle to charge when the engine is in a low fuel consumption state according to the fuel consumption information.

[0035] In the embodiment of the present invention, the hybrid vehicle can charge the power battery through the fuel generator. Therefore, when charging the power battery, the fuel consumption of the vehicle needs to be considered, and the vehicle should be charged as much as possible under the condition of low fuel consumption. Figure 6As shown in the figure, taking a certain climbing condition as an example, the hybrid mode is used for the first climbing, and the power battery power before climbing is 65%; during the climbing, the battery SOC power reaches the set minimum discharge power of 25%, the hybrid mode is exited, and the engine drives the vehicle alone (or charges the battery at the same time), and the fuel consumption is high; before the second climbing, the power battery is charged a distance in advance based on the data collected by the vehicle for the first time (slope, slope length, vehicle speed, power demand, battery SOC power), and the power battery power reaches 95% before climbing; when climbing to the top of the slope, the battery SOC power is 50%; because the battery SOC power is relatively high (50 %), it is necessary to judge the economic fuel consumption of the engine when charging the battery before the second climb. If the engine runs in the economic range during charging, the energy management strategy of the second vehicle can be maintained; if the engine runs in the high fuel consumption range during charging, before the third climb, compare the data collected by the previous vehicle (slope, slope length, vehicle speed, power demand, battery SOC), shorten the distance for charging the power battery in advance, make the power battery reach 85% before climbing, and the battery SOC is 30% when climbing to the top of the slope; then continuously optimize according to the above method to achieve the best energy management strategy for hybrid vehicles.

[0036] Furthermore, controlling the power battery of the hybrid vehicle to charge when the engine is in a low fuel consumption state according to the fuel consumption information includes: When the hybrid vehicle needs to climb a slope, the power battery is controlled to be charged before climbing the slope to ensure that the power battery is in a discharged state when the vehicle is climbing the slope.

[0037] In order to further reduce the fuel consumption of hybrid vehicles, the power battery of the hybrid vehicle can be charged before the vehicle climbs the slope to ensure that the power battery has sufficient power to climb the slope.

[0038] The embodiment of the present invention does not need to rely on high-precision maps, but controls the charging and discharging strategy of the hybrid vehicle according to the historical driving data of the vehicle, which can achieve energy-saving control on unmapped sections, ensure the normal driving of the hybrid vehicle, and save energy.

[0039] As a possible implementation of the present invention, in this implementation, the method further includes: Based on historical driving data, a power battery energy management map is created. The power battery energy management map can indicate the charging and discharging strategy of the vehicle when driving on a target fixed road section.

[0040] In an embodiment of the present invention, the historical driving data of each time the vehicle travels on a target fixed section can be stored by an on-board storage device and sent to a server through a grid device. The server creates a power battery energy management map for the target fixed section based on multiple historical driving data. The power battery energy management map can be used to indicate the charging and discharging strategy of a hybrid vehicle when traveling on the target fixed section, such as whether the power battery of a hybrid vehicle should be charged or discharged at a certain location in the map, how much battery power should be left in the power battery of a hybrid vehicle at a certain location, etc. The power battery energy management map is used to perform detailed energy management of the hybrid battery to further save energy.

[0041] In order to better implement the hybrid vehicle control method in the embodiment of the present invention, based on the hybrid vehicle control method, correspondingly, Figure 7 As shown, the embodiment of the present invention further provides a hybrid vehicle control device, the hybrid vehicle control device 700 includes: A historical data acquisition module 701 is used to acquire historical driving data of the hybrid vehicle on a target fixed road section, wherein the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle driving on the target fixed road section; The control module 702 is used to iteratively optimize the charging and discharging strategy of the hybrid vehicle when traveling on a fixed road section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

[0042] The hybrid vehicle control device 700 provided in the above embodiment can implement the technical solution described in the above hybrid vehicle control method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above hybrid vehicle control method embodiment, which will not be repeated here.

[0043] The hybrid vehicle control device provided by the present invention obtains the historical driving data of the vehicle on the target fixed section, the historical driving data includes the road condition data of the target fixed section and the power battery data of the hybrid vehicle driving on the target fixed section, and iteratively optimizes the charging and discharging strategy of the hybrid vehicle when driving on the fixed section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when driving on the fixed section. The present invention does not need to rely on high-precision maps, but controls the charging and discharging strategy of the hybrid vehicle according to the historical driving data of the vehicle, can realize energy-saving control of the unmapped section, ensure the normal driving of the hybrid vehicle, and save energy.

[0044] like Figure 8 As shown, the present invention also provides a hybrid vehicle 800. The hybrid vehicle 800 includes a processor 801, a memory 802 and a display 803. Figure 8 Only some of the components of the hybrid vehicle 800 are shown, but it should be understood that implementation of all of the components shown is not a requirement, and more or fewer components may alternatively be implemented.

[0045] In some embodiments, the processor 801 may be a central processing unit (CPU), a microprocessor or other data processing chip, and is used to run program codes or process data stored in the memory 802, such as the hybrid vehicle control method of the present invention.

[0046] In some embodiments, the processor 801 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 801 may be local or remote. In some embodiments, the processor 801 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0047] In some embodiments, the memory 802 may be an internal storage unit of the hybrid vehicle 800, such as a hard disk or memory of the hybrid vehicle 800. In other embodiments, the memory 802 may also be an external storage device of the hybrid vehicle 800, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the hybrid vehicle 800.

[0048] Furthermore, the memory 802 may include both an internal storage unit of the hybrid vehicle 800 and an external storage device. The memory 802 is used to store application software installed in the hybrid vehicle 800 and various data.

[0049] In some embodiments, the display 803 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 803 is used to display information of the hybrid vehicle 800 and to display a visual user interface. The components 801-803 of the hybrid vehicle 800 communicate with each other via a system bus.

[0050] In some embodiments, when the processor 801 executes the hybrid vehicle control program in the memory 802, the following steps may be implemented: Acquire historical driving data of the hybrid vehicle on the target fixed road section, the historical driving data including road condition data of the target fixed road section and power battery data of the hybrid vehicle driving on the target fixed road section; The charging and discharging strategies of hybrid vehicles when traveling on fixed roads are iteratively optimized based on road condition data and power battery data to reduce the fuel consumption of hybrid vehicles when traveling on fixed roads.

[0051] It should be understood that: when the processor 801 executes the hybrid vehicle control program in the memory 802, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0052] Accordingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the hybrid vehicle control method provided in the above-mentioned method embodiments can be implemented.

[0053] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0054] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A hybrid vehicle control method, characterized in that: include: Acquiring historical driving data of a hybrid vehicle on a target fixed road section, wherein the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle when traveling on the target fixed road section; The charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section is iteratively optimized based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

2. The hybrid vehicle control method according to claim 1, characterized in that: The obtaining of historical driving data of the hybrid vehicle on a fixed road section includes: Acquiring road condition data of the target fixed road section based on a vehicle-mounted positioning device and a vehicle-mounted slope sensor, wherein the road condition data includes length and slope information of the target fixed road section; Based on the vehicle battery management system, power battery data of the vehicle traveling on the target fixed section is obtained, and the power battery data includes the remaining battery power of the hybrid vehicle at the starting point and the end point of the target fixed section and the charging and discharging time of the hybrid vehicle while traveling.

3. The hybrid vehicle control method according to claim 2, characterized in that: The iterative optimization of the charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section based on the road condition data and the power battery data to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section includes: Based on the length and slope information of the target fixed section, the remaining battery power of the hybrid vehicle at the starting point of the target fixed section is adjusted, and the charging and discharging strategy of the hybrid vehicle when traveling on the target fixed section is controlled to reduce the charging time of the hybrid vehicle when traveling on the target fixed section.

4. The hybrid vehicle control method according to claim 3, characterized in that: The step of adjusting the remaining battery power of the hybrid vehicle at the starting point of the target fixed road section includes: Calculating the optimal remaining power of the hybrid vehicle at the starting point of the target fixed road section based on the length and slope information of the target fixed road section and the power demand information of the hybrid vehicle when traveling on the target fixed road section; The hybrid vehicle is charged or discharged in advance to ensure that the remaining power of the hybrid vehicle is the optimal remaining power when it reaches the starting point of the target fixed road section.

5. The hybrid vehicle control method according to claim 3, characterized in that: The controlling the charging and discharging strategy of the hybrid vehicle when traveling on the target fixed road section to reduce the charging time of the hybrid vehicle when traveling on the target fixed road section includes: Based on the fuel consumption information of the engine of the hybrid vehicle when traveling on the target fixed road section; The power battery of the hybrid vehicle is controlled to be charged according to the fuel consumption information when the engine is in a low fuel consumption state.

6. The hybrid vehicle control method according to claim 5, characterized in that: The controlling the power battery of the hybrid vehicle to charge when the engine is in a low fuel consumption state according to the fuel consumption information comprises: When the hybrid vehicle needs to climb a slope, the power battery is controlled to be charged before climbing the slope to ensure that the power battery is in a discharged state when the vehicle climbs the slope.

7. The hybrid vehicle control method according to claim 6, characterized in that: The method further comprises: Based on the historical driving data, a power battery energy management map is created, and the power battery energy management map can indicate the charging and discharging strategy of the vehicle when traveling on the target fixed road section.

8. A hybrid vehicle control device, characterized in that: include: A historical data acquisition module, used to acquire historical driving data of the hybrid vehicle on a target fixed road section, wherein the historical driving data includes road condition data of the target fixed road section and power battery data of the hybrid vehicle when driving on the target fixed road section; A control module is used to iteratively optimize the charging and discharging strategy of the hybrid vehicle when traveling on the fixed road section based on the road condition data and the power battery data, so as to reduce the fuel consumption of the hybrid vehicle when traveling on the fixed road section.

9. A hybrid vehicle, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the hybrid vehicle control method described in any one of claims 1 to 7 above.

10. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the hybrid vehicle control method described in any one of claims 1 to 7.

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