A vehicle control method, device, medium and vehicle

Abstract

The application provides a vehicle control method, device, medium and vehicle. The method first determines the intelligent driving habit type and the power generation adjustment parameter of the user according to historical data; wherein the intelligent driving habit type is used to represent the use preference type of the user to the intelligent driving system, and the power generation adjustment parameter is used to adjust the initial target electric quantity of the control of the range extender start-stop. Then, according to the intelligent driving habit type, the on-off state of the intelligent driving system and the power generation adjustment parameter, the start-stop control condition of the range extender under the intelligent driving habit type is determined, and finally, the range extender is controlled to start or stop under the condition that the vehicle speed and / or the residual electric quantity meet the start-stop control condition. Thus, by analyzing the intelligent driving habit of the user, the range extender control strategy meeting the high-order intelligent driving requirements of the user is formulated, so as to accurately and effectively control the start and stop of the range extender, thereby charging the vehicle battery at the appropriate time, prolonging the cruising range of the vehicle and improving the intelligent driving experience of the user.

Description

Technical Field

[0001] This application relates to the field of vehicle range extender control technology, and in particular to a vehicle control method, device, medium, and vehicle. Background Technology

[0002] In recent years, with the continuous development of society and the continuous improvement of people's living standards, the demand for automobiles has been increasing. Due to energy shortages and the increasingly serious environmental pollution caused by traditional automobiles, electric vehicles powered by electricity have emerged. Although pure electric vehicles have the characteristics of zero emissions and zero pollution, the current inability to effectively increase the energy density of power batteries results in a driving range that cannot meet people's needs. The emergence of range extenders has solved this problem to some extent: when the remaining power battery charge is insufficient, the range extender in the car can generate electricity by burning fuel to charge the power battery or power the drive motor, thereby effectively increasing the driving range of range-extended electric vehicles.

[0003] However, frequent starting and stopping of the range extender will increase wear and tear on it, thus affecting its service life. Therefore, how to control the range extender in a timely and effective manner has become an urgent problem to be solved. Summary of the Invention

[0004] This application provides a vehicle control method, device, medium, and vehicle that can precisely and effectively control the start and stop of a range extender to extend the vehicle's driving range and enhance the user's intelligent driving experience.

[0005] The first aspect of this application provides a vehicle control method, the method comprising:

[0006] The system acquires the intelligent driving mileage and average intelligent driving speed, and determines the user's intelligent driving habit type based on the intelligent driving mileage and average intelligent driving speed; wherein, the intelligent driving habit type is used to characterize the user's usage preference type for the intelligent driving system;

[0007] The cumulative mileage of the vehicle under high power conditions is obtained, and the power generation adjustment parameters are determined based on the cumulative mileage; wherein, under the high power conditions, the difference between the vehicle's total power consumption and the vehicle's maximum power limit is less than a first preset difference; the power generation adjustment parameters are used to adjust the initial target power for controlling the start and stop of the range extender;

[0008] The start-stop control conditions of the range extender are determined based on the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters; the start-stop control conditions include start-stop speed conditions and / or start-stop power conditions.

[0009] When the vehicle speed and / or remaining battery power meet the start-stop control conditions, the range extender is controlled to start or stop.

[0010] Optionally, the intelligent driving habit type includes non-preferred intelligent driving type, preferred urban intelligent driving type, and preferred highway intelligent driving type. The user's intelligent driving habit type is determined based on the intelligent driving mileage and the average intelligent driving speed, including:

[0011] Determine the first percentage of the intelligent driving mileage to the first total mileage; the first total mileage refers to the total distance traveled by the vehicle within a first historical period.

[0012] If the first proportion is lower than the first preset proportion, the user's intelligent driving habit type is determined to be non-preferred intelligent driving type;

[0013] If the first proportion is higher than or equal to the first preset proportion, and the average speed of intelligent driving is lower than the first preset speed, the user's intelligent driving habit type is determined to be the urban intelligent driving type.

[0014] If the first proportion is higher than or equal to the first preset proportion, and the average speed of intelligent driving is higher than or equal to the first preset speed, the user's intelligent driving habit type is determined to be a preference for high-speed intelligent driving.

[0015] Optionally, the power generation adjustment parameters are determined based on the cumulative mileage, including:

[0016] Determine the second percentage of the cumulative mileage to the second total mileage; the second total mileage refers to the total distance traveled by the vehicle within the second historical period.

[0017] When the second proportion is higher than the second preset proportion and less than or equal to the third preset proportion, the power generation adjustment parameter is determined to be the first adjustment value;

[0018] When the second proportion is higher than the third preset proportion and less than or equal to the fourth preset proportion, the power generation adjustment parameter is determined to be the second adjustment value;

[0019] If the second proportion is higher than the fourth preset proportion, the power generation adjustment parameter is determined to be the third adjustment value;

[0020] The first adjustment value, the second adjustment value, and the third adjustment value increase sequentially.

[0021] Optionally, the start-stop control conditions of the range extender are determined based on the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters, including:

[0022] Based on the on / off state of the intelligent driving system, the initial target battery level for controlling the start and stop of the range extender under the intelligent driving habit type is determined; the initial target battery level corresponding to the non-preferred intelligent driving type, the preferred urban intelligent driving type, and the preferred highway intelligent driving type increases sequentially;

[0023] Based on the initial target power and the power generation adjustment parameters, the start-stop control conditions of the range extender under the intelligent driving habit type are determined.

[0024] Optionally, based on the on / off state of the intelligent driving system, determining the initial target battery level for controlling the start / stop of the range extender under the intelligent driving habit type includes:

[0025] If the intelligent driving habit type is non-preferred intelligent driving type, or if the intelligent driving habit type is preferred urban intelligent driving type and the intelligent driving system is in the off state, the initial target battery level is determined to be the first battery level;

[0026] If the intelligent driving habit type is preferred urban intelligent driving and the intelligent driving system is in the on state, the initial target battery level is determined to be the second battery level.

[0027] If the intelligent driving habit type is a preference for high-speed intelligent driving, then the initial target battery level is determined to be the third battery level.

[0028] The first charge, the second charge, and the third charge increase sequentially.

[0029] Optionally, the method further includes: determining the vehicle state, the vehicle state including a stationary state and / or an idling state; when the vehicle state is a stationary state or an idling state, the start-stop control conditions include start-stop power conditions.

[0030] Based on the initial target power level and the power generation adjustment parameters, the start-stop control conditions of the range extender under the intelligent driving habit type are determined, including:

[0031] Based on the initial target power and the power generation adjustment parameters, the actual target power for controlling the start and stop of the range extender is determined;

[0032] The actual target power level is determined as the start / stop power level condition.

[0033] Optionally, the vehicle status also includes driving status; when the vehicle status is driving status, the start-stop control conditions include start-stop speed conditions and start-stop power conditions.

[0034] Based on the initial target power level and the power generation adjustment parameters, the start-stop control conditions of the range extender under the intelligent driving habit type are determined, including:

[0035] Determine the target vehicle speed for controlling the start and stop of the range extender under the intelligent driving habit, and determine the target vehicle speed as the start and stop speed condition;

[0036] Based on the initial target power and the power generation adjustment parameters, the actual target power for controlling the start and stop of the range extender is determined, and the actual target power is determined as the start and stop power condition.

[0037] Based on the same inventive concept, a second aspect of this application provides a vehicle control device, the device comprising:

[0038] The intelligent driving habit determination module is used to acquire intelligent driving mileage and intelligent driving average speed, and determine the user's intelligent driving habit type based on the intelligent driving mileage and intelligent driving average speed; wherein, the intelligent driving habit type is used to characterize the user's usage preference type of the intelligent driving system;

[0039] The power generation adjustment parameter determination module is used to acquire the cumulative mileage of the vehicle when it is in a high-power state, and to determine the power generation adjustment parameters based on the cumulative mileage; wherein, in the high-power state, the difference between the vehicle's total power consumption and the vehicle's maximum power limit is less than a first preset difference; the power generation adjustment parameters are used to adjust the initial target power for controlling the start and stop of the range extender;

[0040] The start-stop condition generation module is used to determine the start-stop control conditions of the range extender based on the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters; the start-stop control conditions include start-stop speed conditions and / or start-stop power conditions.

[0041] The start-stop control module is used to control the range extender to start or stop when the vehicle speed and / or remaining battery power meet the start-stop control conditions.

[0042] Based on the same inventive concept, a third aspect of the present application provides a storage medium storing machine-executable instructions, which, when executed by a processor, implement the vehicle control method proposed in the first aspect of the present application.

[0043] Based on the same inventive concept, a fourth aspect of this application provides a vehicle including a processor and a memory; the memory stores machine-executable instructions that can be executed by the processor, and the processor is used to execute the machine-executable instructions to implement the vehicle control method proposed in the first aspect of this application.

[0044] Optionally, the memory includes: a first storage unit, a second storage unit, and a third storage unit; wherein,

[0045] The first storage unit is used to store the total mileage of this trip when the vehicle is powered off;

[0046] The second storage unit is used to store the intelligent driving mileage traveled during this trip while the intelligent driving system is activated, when the vehicle is powered off;

[0047] The third storage unit is used to store the average speed of intelligent driving under the intelligent driving mileage when the vehicle is powered off.

[0048] Compared with the prior art, this application has the following advantages:

[0049] This application provides a vehicle control method that first acquires the intelligent driving mileage and average intelligent driving speed, and determines the user's intelligent driving habit type based on these data. It then acquires the cumulative mileage of the vehicle under high-power conditions and determines power generation adjustment parameters based on this cumulative mileage. The intelligent driving habit type characterizes the user's preference for the intelligent driving system, and the power generation adjustment parameters adjust the initial target battery level for controlling the start-stop of the range extender. Next, based on the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters, the start-stop control conditions for the range extender under the intelligent driving habit type are determined. These start-stop control conditions include start-stop speed conditions and / or start-stop battery level conditions. Finally, when the vehicle speed and / or remaining battery level meet the start-stop control conditions, the range extender is controlled to start or stop. Thus, by analyzing the user's intelligent driving habits, a range extender control strategy that meets the user's advanced intelligent driving requirements is formulated to precisely and effectively control the start and stop of the range extender, thereby charging the vehicle battery at appropriate times, extending the vehicle's range, and improving the user's intelligent driving experience. Attached Figure Description

[0050] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of a vehicle control method according to an embodiment of this application;

[0052] Figure 2 This is a flowchart illustrating the process of determining a user's intelligent driving habit type in one embodiment of this application;

[0053] Figure 3 This is a schematic diagram of the functional modules of a vehicle control device according to an embodiment of this application;

[0054] Figure 4This is a structural schematic diagram of a vehicle according to one embodiment of this application. Detailed Implementation

[0055] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0056] Parallel hybrid electric vehicles (PHEVs) use an electric motor and an internal combustion engine to drive the vehicle. The electric motor and internal combustion engine can operate independently or simultaneously in different modes to provide power to the wheels. When using electric motor drive, if the vehicle's battery charge drops to a certain level, the range extender detects the insufficient voltage and then starts the internal combustion engine or gas turbine. This generator converts mechanical energy into electrical energy to charge the battery, thereby powering the vehicle's electric motor and enabling the vehicle to travel a longer distance. However, frequent starting and stopping of the range extender will increase wear and tear on it, thus affecting its lifespan.

[0057] In view of this, this application proposes a vehicle control method that can be applied to parallel hybrid electric vehicles. This method analyzes the user's intelligent driving habits and formulates a range extender control strategy that meets the user's advanced intelligent driving requirements. This allows for precise and effective control of the range extender's start-up and shutdown, thereby charging the vehicle battery at appropriate times, extending the vehicle's driving range, and enhancing the user's intelligent driving experience.

[0058] Please refer to Figure 1 , Figure 1 This is a flowchart of a vehicle control method proposed in one embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0059] S101: Obtain intelligent driving mileage and average intelligent driving speed, and determine the user's intelligent driving habit type based on intelligent driving mileage and average intelligent driving speed.

[0060] Among them, intelligent driving mileage refers to the distance traveled by the vehicle in intelligent driving mode during the user's historical travel history. Intelligent driving average speed refers to the average speed of the vehicle in intelligent driving mode. Intelligent driving mode, also known as intelligent driving state, refers to a working state exhibited by the vehicle's automated driving technology. In this state, the vehicle can achieve partial or fully automated driving by utilizing integrated hardware devices such as various sensors, control systems, and actuators, as well as corresponding algorithms and software. Intelligent driving habit type is used to characterize the user's usage preferences for the intelligent driving system. The intelligent driving system refers to the technology that uses sensors, computer systems, and artificial intelligence algorithms to achieve autonomous vehicle operation, including functions such as network navigation and autonomous driving.

[0061] In this embodiment, by statistically analyzing the intelligent driving mileage and average speed during recent or recent vehicle use, we can understand how users use the intelligent driving system and thus determine the user's intelligent driving habit type.

[0062] For example, if a user uses the intelligent driving function infrequently, it suggests they may not enjoy using it. From this perspective, users' intelligent driving habits can be categorized into those who prefer intelligent driving and those who don't. Secondly, even if a user enjoys using the intelligent driving function, a higher average speed suggests they may prefer using it on highways, while a lower average speed suggests they may prefer using it in low-speed conditions like urban areas. From this perspective, users' intelligent driving habits can be further categorized into those who prefer urban intelligent driving and those who prefer highway intelligent driving.

[0063] S102: Obtain the cumulative mileage of the vehicle when it is in high-power mode, and determine the power generation adjustment parameters based on the cumulative mileage.

[0064] Specifically, under high-power conditions, the difference between the vehicle's total power consumption and its maximum power limit is less than a first preset difference. The power generation adjustment parameters are used to adjust the initial target charge for controlling the start-stop of the range extender, thereby adjusting the target charge required to trigger the range extender's start-stop function, achieving effective control of the range extender, and avoiding frequent start-stop operations that could affect its lifespan.

[0065] The initial target battery level refers to the battery level required to trigger the range extender to start or stop. For example, the initial target battery level to trigger the range extender to start is 18 Ah, and the initial target battery level to trigger the range extender to stop is 20 Ah. During operation, if the vehicle's current remaining battery level is detected to be less than or equal to 18 Ah, the range extender will be activated to charge the battery and provide more power to the electric motor. The range extender will stop once the remaining battery level reaches 20 Ah.

[0066] In one feasible implementation, historical vehicle usage data, such as intelligent driving mileage, average intelligent driving speed, and cumulative mileage driven at high power, can be used to analyze the user's intelligent driving habits. For example, cluster analysis and neural network model prediction can be used to classify the user's intelligent driving habits. Secondly, when determining the power generation adjustment parameters based on historical usage data, the overall vehicle energy demand during user operation can be analyzed. If the overall vehicle energy demand is low, the power generation adjustment parameters can be set relatively small, such as 2 amp-hours; if the overall vehicle energy demand is high, the power generation adjustment parameters can be set relatively large, such as 5 amp-hours. Thus, by setting appropriate power generation adjustment parameters according to different usage conditions, the target power required to trigger the range extender's start-stop function can be better adjusted.

[0067] S103: Determine the start-stop control conditions of the range extender based on the intelligent driving habit type, the on / off status of the intelligent driving system, and the power generation adjustment parameters.

[0068] In this embodiment, the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters all affect the start-stop control conditions of the range extender. Specifically, the power generation adjustment parameters are used to adjust the initial target charge for controlling the start-stop of the range extender, thereby affecting the target charge required to ultimately trigger the range extender's start-stop. The determination of the initial target charge is related to the intelligent driving habit type and the on / off state of the intelligent driving system.

[0069] Specifically, the on / off state of the intelligent driving system affects the vehicle's driving mode, and consequently, the initial target battery level. When the intelligent driving system is off, i.e., the vehicle is in non-intelligent driving mode, the engine direct drive mode can be used when the vehicle speed reaches a certain level, directly driving the vehicle without the need for electric motor drive. Therefore, the energy consumption demand for the entire vehicle's electrical system is lower in non-intelligent driving mode, and the initial target battery level can be set lower. However, when the intelligent driving system is on, i.e., the vehicle is in intelligent driving mode, the intelligent driving system has higher real-time requirements for the vehicle's response. The engine direct drive mode cannot meet the real-time requirements under intelligent driving conditions. Therefore, the engine direct drive mode is prohibited in intelligent driving mode. Only pure electric drive mode (using the electric motor to directly drive the vehicle) or engine series drive mode (the engine generates electricity to power the electric motor to drive the vehicle) is allowed. In other words, the vehicle can only be driven by the electric motor in intelligent driving mode. Therefore, the energy consumption demand of the vehicle's electrical power is relatively high in intelligent driving mode. At this time, the initial target power can be set higher to increase the target power that triggers the start and stop of the range extender, start the range extender charging in advance, and ensure sufficient power.

[0070] Secondly, different intelligent driving habits result in different energy consumption demands on the vehicle's electrical system, thus requiring different initial target battery levels. For example, users who don't prefer intelligent driving rarely activate it, so their energy consumption demand is lower. In this case, the initial target battery level can be set lower, such as 18 Ah for starting and 20 Ah for stopping. Conversely, users who prefer high-speed intelligent driving frequently use the system and experience high drive power demands at high speeds, resulting in high energy consumption demands. In this case, the initial target battery level can be set higher, such as 23 Ah for starting and 25 Ah for stopping.

[0071] In this embodiment, the start-stop control conditions include start-stop speed conditions and / or start-stop power conditions. The start-stop speed conditions refer to the actual target power required to trigger the range extender's start and stop, while the start-stop power conditions refer to the target vehicle speed required to trigger the range extender's start and stop. The actual target power can be determined comprehensively by considering the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters. The target vehicle speed corresponds to the intelligent driving habit type; different intelligent driving habit types correspond to different target vehicle speeds. Therefore, by comprehensively considering the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters, start-stop control strategies for the range extender under different intelligent driving habit types are designed to meet the power consumption requirements of advanced intelligent driving.

[0072] S104: Control the range extender to start or stop when the vehicle speed and / or remaining battery power meet the start-stop control conditions.

[0073] In this embodiment, during the vehicle use process, the current vehicle speed and / or the remaining battery power are collected in real time. When the vehicle speed reaches the target speed in the start-stop control conditions, and / or the remaining battery power reaches the actual target power in the start-stop control conditions, the range extender is controlled to start or stop accordingly.

[0074] Specifically, if the vehicle is stationary during this use, it only needs to check whether the remaining battery charge meets the start-stop control conditions. For example, if the current remaining charge is detected to be lower than the actual target charge required to start the range extender, the range extender will be started to charge the battery, and when the current remaining charge is detected to be higher than the actual target charge required to stop the range extender, the range extender will be shut down.

[0075] If the vehicle is in normal driving condition during this trip, it is necessary to check whether the current vehicle speed and the remaining battery charge simultaneously meet the start-stop control conditions. For example, if it is detected that the current vehicle speed has reached the target speed required to start the range extender, and the current remaining battery charge is lower than the actual target charge required to start the range extender, then the range extender will start to charge the battery. When it is detected that the current vehicle speed is lower than the target speed required to stop the range extender, or the current remaining battery charge is higher than the actual target charge required to stop the range extender, the range extender will be shut down.

[0076] This embodiment analyzes users' intelligent driving habits and formulates a range extender control strategy that meets users' advanced intelligent driving requirements. This strategy enables precise and effective control over the start and stop of the range extender, thereby charging the vehicle battery at the appropriate time, extending the vehicle's driving range, and enhancing the user's intelligent driving experience.

[0077] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating the determination of a user's intelligent driving habit type in one embodiment of this application. For example... Figure 2 As shown, based on historical vehicle usage data, the user's intelligent driving habit type is determined, including:

[0078] S201: Determine the first percentage of intelligent driving mileage to the first total mileage; the first total mileage refers to the total distance traveled by the vehicle within the first historical period.

[0079] In this embodiment, historical vehicle usage data is generated by recording the mileage of each user's vehicle use, the mileage of intelligent driving in intelligent driving mode, and the average vehicle speed in intelligent driving mode. Furthermore, considering the timeliness of the data, only the most recent usage data can be recorded and stored, such as storing the last 10 usage data, so as to analyze the user's intelligent driving habits based on the last 10 usage data.

[0080] In one feasible implementation, the first total mileage and intelligent driving mileage can be determined based on the most recent 10 historical vehicle usage data within the past month. The first total mileage is the sum of the mileage from these 10 trips, and the intelligent driving mileage is the sum of the mileage driven in intelligent driving mode during these 10 trips. Then, the first percentage of intelligent driving mileage to the first total mileage is calculated. The larger the first percentage, the more the user prefers using the intelligent driving system functions. Simultaneously, the overall intelligent driving average speed is calculated based on the intelligent driving mileage and average speed in each intelligent driving mode. For example, a weighted average based on intelligent driving mileage and average speed can be used to obtain the intelligent driving average speed. Alternatively, the intelligent driving average speed can be obtained by averaging the average speed from multiple intelligent driving modes.

[0081] Furthermore, vehicle usage data can be recorded in the following ways:

[0082] 1. Instantaneous driving distance x (in meters) = (v / 3.6) * 0.01;

[0083] By integrating the instantaneous driving distance x using the integration module 1, the integration result L is obtained. m (km) represents the total distance traveled, L m =∑(x / 1000), meaning that for each cycle the controller runs, L m Increase by x / 1000, resetting the condition to vehicle hibernation. For example, L m L1 represents the total mileage driven from the most recent m-th vehicle power-on to the most recent (m-1)-th vehicle power-on, and L1 represents the total mileage driven from the most recent vehicle power-on to the present.

[0084] 2. Instantaneous driving distance y (in meters) = (v / 3.6) * 0.01 * k; where k = 1 when intelligent driving is enabled and k = 0 when intelligent driving is disabled.

[0085] By integrating the instantaneous driving distance y using the integration module 2, the integration result S is obtained. m (km) represents the total mileage traveled in this intelligent driving mode, S m =∑(y / 1000), which means the controller operates for one cycle S. m Increase y / 1000, and reset the condition to vehicle hibernation. For example, S m S1 represents the intelligent driving mileage from the most recent m-th vehicle power-on to the most recent (m-1)-th vehicle power-on, and S1 represents the intelligent driving mileage from the most recent vehicle power-on to the present.

[0086] 3. Similarly, the intelligent driving time T after the most recent m-th vehicle power-on... m (Unit h) = ∑[k*(0.01) / 3600], where k=1 when intelligent driving is enabled and k=0 when intelligent driving is disabled.

[0087] Based on this, the average speed of intelligent driving V m =S m / T m V m V1 represents the average speed of intelligent driving from the most recent m-th vehicle power-on to the most recent (m-1)-th vehicle power-on, and V1 represents the average speed of intelligent driving from the most recent vehicle power-on to the current time.

[0088] S202: If the first proportion is lower than the first preset proportion, determine that the user's intelligent driving habit type is non-preferred intelligent driving type.

[0089] In this embodiment, the first preset percentage can be set according to the market penetration and usage of intelligent driving systems, for example, set to 20%. When the first percentage is lower than the first preset percentage, it indicates that the user rarely activates intelligent driving mode during recent vehicle use, suggesting that the user likely does not like using the intelligent driving system functions and prefers autonomous driving. Therefore, the user's intelligent driving habit type is determined to be non-preferred intelligent driving type. When the first percentage is higher than or equal to the first preset percentage, it indicates that the user frequently activates intelligent driving mode during recent vehicle use, suggesting that the user likely likes using the intelligent driving system functions.

[0090] For example, the first preset ratio can be set to 20%. When ∑Sm / ∑Lm < 20%, the user's intelligent driving usage habit is determined to be a non-preferred intelligent driving type. Here, ∑Sm represents the total intelligent driving mileage of the most recent trips, and ∑Lm represents the total driving mileage of the most recent trips.

[0091] S203: If the first proportion is higher than or equal to the first preset proportion and the average speed of intelligent driving is lower than the first preset speed, the user's intelligent driving habit type is determined to be the urban intelligent driving type.

[0092] In this embodiment, the first preset speed can be set according to industry safe driving standards to ensure that the road conditions and speed range that the intelligent driving system can handle safely are within the range to avoid potential safety hazards.

[0093] Secondly, if the average speed of the recent intelligent driving tests is lower than the first preset speed, it indicates that the user is using the intelligent driving system functions at a lower speed, typically in an urban environment. Therefore, when the first percentage is higher than or equal to the first preset percentage, and the average speed of intelligent driving is lower than the first preset speed, the user's intelligent driving habit type is determined to be urban-preferred intelligent driving.

[0094] For example, the first preset ratio can be set to 20%, and the first preset speed can be set to 80 km / h. When ∑Sm / ∑Lm≥20%&∑(Sm*Vm) / ∑Sm≥80, the user's intelligent driving habit is determined to be a preference for high-speed intelligent driving. The intelligent driving average speed is obtained by weighting and averaging the intelligent driving mileage Sm and the average speed Vm under intelligent driving conditions from the most recent trips.

[0095] S204: If the first proportion is higher than or equal to the first preset proportion and the average speed of intelligent driving is higher than or equal to the first preset speed, determine that the user's intelligent driving habit type is the high-speed intelligent driving type.

[0096] In this embodiment, when the first proportion is higher than or equal to the first preset proportion and the average speed of intelligent driving is higher than or equal to the first preset speed, it indicates that the user is using the intelligent driving system function at a higher vehicle speed. At this time, the vehicle is usually driving in a high-speed environment. Therefore, the user's intelligent driving habit type is determined to be the high-speed intelligent driving type.

[0097] For example, when ∑Sm / ∑Lm≥20%&∑(Sm*Vm) / ∑Sm<80, the user's intelligent driving usage habit is determined to be a preference for high-speed intelligent driving.

[0098] This embodiment categorizes users' intelligent driving habits by statistically analyzing the percentage of total intelligent driving mileage in recent trips to the total mileage, as well as the average speed while in intelligent driving mode. This provides a data foundation for subsequent range extender control and facilitates the development of more accurate and effective range-extending power generation strategies. It should be noted that steps S202-S204 above are not sequential; they simply represent three different categories of intelligent driving habits.

[0099] Optionally, power generation adjustment parameters are determined based on cumulative mileage, including:

[0100] S301: Determine the second percentage of the cumulative mileage to the second total mileage.

[0101] In this embodiment, the second total mileage refers to the total distance traveled by the vehicle within the second historical period. The second total mileage may be the same as or different from the first total mileage. For example, the first total mileage is the total mileage of the most recent 10 trips, and the second total mileage is the total mileage of the most recent 8 trips. Furthermore, for ease of calculation, the second total mileage must be greater than or equal to 100 km.

[0102] Under high power conditions, the difference between the vehicle's total operating power and its maximum limited power is less than a first preset difference. Here, total operating power refers to the real-time power used by the vehicle during this usage period, and maximum limited power refers to the maximum power the vehicle can provide during this usage period.

[0103] Specifically, the power consumption of the entire vehicle can be calculated as follows: P = (I BMS *U BMS +I GCU *U GCU ), where P represents the total power used by the vehicle, and I BMS U represents the current of the vehicle battery. BMS I represents the voltage of the vehicle battery. GCU U represents the range extender current. GCU This indicates the voltage of the range extender.

[0104] The maximum power limit for the entire vehicle can be determined based on the vehicle's battery state of charge (SOC) and vehicle speed. When SOC ≤ 20%, P MAX =P BMSMAX +P GCUMAX -Min(10, V / SOC), where P MAX P represents the maximum power limit of the entire vehicle. BMSMAX P represents the maximum discharge power of the vehicle battery. GCUMAX This represents the maximum generating power of the range extender, and V represents the vehicle speed. If V / SOC is greater than 10, then P... MAX =P BMSMAX +P GCUMAX -V / SOC; if V / SOC is less than 10, then P MAX =P BMSMAX +P GCUMAX -10.

[0105] When SOC > 20, P MAX =P BMSMAX +P GCUMAX In other words, the maximum power a vehicle can provide when the battery charge is low is less than the maximum power it can provide when the battery charge is normal. Therefore, when the battery charge is low, the vehicle's operation is limited based on the State of Charge (SOC) and vehicle speed, with reserved power from the range extender being used to charge the battery to ensure normal vehicle operation.

[0106] When the difference between the vehicle's total power consumption and its maximum power limit is less than a first preset difference, it indicates that the vehicle's energy consumption is very high, and the vehicle is operating at almost its maximum power, in a high-power state. For example, the first preset difference can be set to 10kW. MAX - When P≤10kw, the vehicle is determined to be in a high-power state.

[0107] Furthermore, by statistically analyzing the cumulative mileage driven by the vehicle in high-power mode within the second total mileage period, we can understand the vehicle's recent energy consumption. A larger cumulative mileage driven in high-power mode indicates a higher electricity demand, while a smaller cumulative mileage driven in high-power mode indicates a lower electricity demand.

[0108] S302: Determine the power generation adjustment parameters based on the second percentage of the cumulative mileage to the second total driving mileage.

[0109] In this embodiment, the larger the proportion of the cumulative mileage driven by the vehicle in high power mode to the second total mileage, the more likely the vehicle is to be in a high energy consumption state for a long time. In this case, the power generation adjustment parameters should be set to a larger value to increase the target power required to trigger the start and stop of the range extender. In turn, by raising the lower limit of charging, the range extender can be started in advance to charge the battery and ensure the vehicle's driving needs.

[0110] Specifically, the process of determining the power generation adjustment parameters includes: when the second proportion is higher than the second preset proportion and less than or equal to the third preset proportion, determining the power generation adjustment parameter as the first adjustment value; when the second proportion is higher than the third preset proportion and less than or equal to the fourth preset proportion, determining the power generation adjustment parameter as the second adjustment value; and when the second proportion is higher than the fourth preset proportion, determining the power generation adjustment parameter as the third adjustment value.

[0111] When setting the second, third, and fourth preset ratios, as well as the first, second, and third adjustment values, it is necessary to consider the balance between vehicle fuel economy and power performance in order to achieve a better driving experience and economic benefits.

[0112] The first, second, and third adjustment values ​​increase sequentially. For example, the first adjustment value can be set to 1, the second adjustment value to 3, and the third adjustment value to 5.

[0113] For example, assuming that the cumulative mileage driven by the vehicle in high-power mode accounts for a second percentage of the total second mileage, and the second preset percentage is 10%, the third preset percentage is 30%, and the fourth preset percentage is 60%, then the power generation adjustment parameter K can be determined as follows:

[0114] 10%<N≤30% indicates that the vehicle is less likely to enter a high-power state, and the vehicle consumes less energy. At this time, the energy of the whole vehicle can basically meet the usage needs, and the power generation adjustment parameter K=1.

[0115] 30%<N≤60% indicates that the vehicle is likely to enter a high-power state, consuming more energy. At this time, the energy of the entire vehicle may not be able to fully meet the usage requirements, so the power generation adjustment parameter K=3.

[0116] If N>60%, it indicates that the vehicle is frequently in a high-power state and consumes a lot of energy. At this time, the energy of the whole vehicle cannot meet the usage requirements, and the power generation adjustment parameter K=5.

[0117] In addition, when N≤10%, it means that the vehicle will basically not enter a high-power state and the vehicle consumes very little energy. At this time, the energy of the whole vehicle can fully meet the usage needs. Therefore, the power generation adjustment parameter K=0, that is, there is no need to adjust the target power required to trigger the start and stop of the range extender.

[0118] Therefore, based on the proportion of the cumulative mileage of the vehicle in high-power mode to the second total mileage, the power generation adjustment parameters are set in stages to determine a more suitable start-stop control strategy for the range extender for different vehicle usage conditions, thereby achieving effective control of the range extender.

[0119] Optionally, the start-stop control conditions for the range extender are determined based on the intelligent driving habit type, the on / off state of the intelligent driving system, and the power generation adjustment parameters, including:

[0120] S401: Based on the on / off status of the intelligent driving system, determine the initial target battery level for controlling the start / stop of the range extender under the intelligent driving habit type.

[0121] In this embodiment, as described in the first aspect above, the on / off state of the intelligent driving system and the user's intelligent driving habits both affect the determination of the initial target battery level. Specifically, the initial target battery level increases sequentially for non-preferred intelligent driving, urban-preferred intelligent driving, and highway-preferred intelligent driving. It is easy to understand that under a highway-preferred intelligent driving habit, since the intelligent driving system is typically used in highway scenarios, the vehicle's energy consumption is higher, therefore the corresponding initial target battery level is also higher, in order to activate the range extender as early as possible to charge the battery and ensure smooth vehicle operation.

[0122] Specifically, the process mainly includes:

[0123] If the intelligent driving habit type is non-preferred intelligent driving, or if the intelligent driving habit type is preferred urban intelligent driving and the intelligent driving system is off, the initial target battery level is determined as the first battery level; if the intelligent driving habit type is preferred urban intelligent driving and the intelligent driving system is on, the initial target battery level is determined as the second battery level; if the intelligent driving habit type is preferred highway intelligent driving, the initial target battery level is determined as the third battery level.

[0124] The first, second, and third charge levels can be set according to factors such as vehicle type, battery performance and lifespan, and vehicle safety design requirements to ensure normal vehicle operation and battery lifespan.

[0125] The first, second, and third battery levels increase sequentially. It should be noted that the initial target battery level includes the initial target battery level required to control the range extender to start and stop. Therefore, the first, second, and third battery levels all include the starting battery level and the stopping battery level.

[0126] In this embodiment, for users who do not prefer intelligent driving and have low overall vehicle energy consumption requirements, the start and stop of the range extender can be controlled by setting a relatively low initial target battery level. In this case, in one feasible embodiment, the first battery level includes: 18 Ah for starting and 20 Ah for stopping.

[0127] For users who prefer urban intelligent driving, if the intelligent driving system is on (i.e., the vehicle is in intelligent driving mode), the power demand for intelligent driving in urban areas is low, and the battery can be maintained solely in intelligent driving mode without the need for pre-generation. Therefore, the initial target battery level can be set similarly to that of users who do not prefer intelligent driving, with a lower initial target battery level to control the start and stop of the range extender. However, if the intelligent driving system is off (i.e., the vehicle is not in intelligent driving mode), since users still need to use intelligent driving in urban areas and there is a certain probability of using it on highways, the initial target battery level needs to be higher than that of users who do not prefer intelligent driving. This is to control the range extender to generate electricity in advance and prepare for subsequent intelligent driving scenarios. In this case, in one feasible implementation, the second battery level includes: a starting battery level of 20 amp-hours and a stopping battery level of 22 amp-hours.

[0128] For users who prefer high-speed intelligent driving, since they are accustomed to using intelligent driving in high-speed scenarios, which consume a lot of energy, a high battery level is required when driving in pure electric mode or range-extended electric mode; otherwise, power will decrease. Therefore, compared to users who prefer urban intelligent driving, the initial target battery level needs to be further increased. In this case, in one feasible implementation, the third battery level includes: 23 Ah of starting battery level and 25 Ah of stopping battery level.

[0129] This implementation method takes into account the type of intelligent driving habits and the on / off state of the intelligent driving system, and reasonably sets the initial target power of the range extender start-stop control under different intelligent driving habit types, so as to meet the power consumption requirements of advanced intelligent driving, while better conforming to the user's intelligent driving habits and helping to improve the user experience.

[0130] S402: Based on the initial target power and power generation adjustment parameters, determine the start-stop control conditions of the range extender under the intelligent driving habit type.

[0131] In this embodiment, the start-stop control conditions of the range extender include start-stop speed conditions and / or start-stop power conditions, which can be determined according to the vehicle status in specific applications.

[0132] Specifically, vehicle status includes a stationary state and / or an idling state. When the vehicle is stationary or idling, the process for determining the start-stop control conditions of the range extender includes:

[0133] Based on the initial target power and power generation adjustment parameters, the actual target power for controlling the start and stop of the range extender is determined; the actual target power is then used as the start and stop power condition.

[0134] In this embodiment, when the vehicle is stationary or idling, only the battery level needs to be considered. Specifically, the sum of the initial target battery level and the power generation adjustment parameters can be determined as the actual target battery level for controlling the start and stop of the range extender, and this actual target battery level can be used as the final start and stop control condition for the range extender under this intelligent driving habit.

[0135] For example, for a non-preferred intelligent driving type, assuming that the initial target charge for starting the range extender is 18 amp-hours when the vehicle is stationary or idling, and the initial target charge for stopping the range extender is 20 amp-hours, and the power generation adjustment parameter is determined to be K through historical data analysis, then when the vehicle is stationary or idling, the final start-stop control conditions for the range extender are: starting charge is (18+K) amp-hours, and stopping charge is (20+K) amp-hours.

[0136] Based on this, when the vehicle speed and / or remaining battery power meet the start-stop control conditions, the range extender is controlled to start or stop, including: when the remaining battery power reaches the actual target battery power, determining that the remaining battery power meets the start-stop control conditions, and controlling the range extender to start or stop.

[0137] For example, when the remaining battery charge is detected to be ≤ (18+K) amps, it is determined that the remaining charge meets the start control condition, triggering the range extender to start charging the battery. This continues until the remaining battery charge is detected to be ≥ (20+K) amps, at which point it is determined that the remaining charge meets the stop control condition, the range extender is shut down, and charging stops.

[0138] In addition, vehicle status also includes driving status. When the vehicle status is driving, the process for determining the start-stop control conditions of the range extender includes:

[0139] Determine the target vehicle speed for controlling the start and stop of the range extender under intelligent driving habits, and set the target vehicle speed as the start and stop speed condition; based on the initial target battery level and power generation adjustment parameters, determine the actual target battery level for controlling the start and stop of the range extender, and set the actual target battery level as the start and stop battery level condition.

[0140] In this embodiment, when the vehicle is in motion, both battery level and vehicle speed conditions must be considered simultaneously. Specifically, the sum of the initial target battery level and the power generation adjustment parameters can be determined as the actual target battery level for controlling the start-stop of the range extender. Simultaneously, based on the type of intelligent driving habit, the target vehicle speed for controlling the start-stop of the range extender under that intelligent driving habit is determined. Then, the actual target battery level is used as the battery level condition in the final start-stop control conditions for the range extender under that intelligent driving habit type, and the target vehicle speed is used as the vehicle speed condition in the final start-stop control conditions for the range extender under that intelligent driving habit type.

[0141] For example, for a non-preferred intelligent driving type, assuming the vehicle is in driving mode, the initial target charge for starting the range extender is 20 Ah, and the initial target charge for stopping the range extender is 30 Ah. And the power generation adjustment parameter is determined to be K through historical data analysis. Then, when the vehicle is in driving mode, the final start-stop control conditions of the range extender are: starting charge is (20+K) Ah, stopping charge is (30+K) Ah, starting speed is 30km / h, and stopping speed is 10km / h.

[0142] Based on this, when the vehicle speed and / or remaining battery power meet the start-stop control conditions, the range extender is controlled to start or stop, including: when the vehicle speed reaches the target speed and the remaining battery power reaches the actual target battery power, determining that the vehicle speed and remaining battery power meet the start-stop control conditions, and controlling the range extender to start or stop.

[0143] For example, when the remaining battery charge is detected to be ≤ (20+K) amps and the vehicle speed is ≥ 30 km / h, it is determined that the remaining charge and vehicle speed meet the start control conditions, triggering the range extender to start charging the battery. The range extender will continue charging until the remaining battery charge is detected to be ≥ (30+K) amps, or the vehicle speed is ≤ 10 km / h, at which point it is determined that the remaining charge and vehicle speed meet the stop control conditions, shutting down the range extender and stopping charging.

[0144] It should be noted that, for any intelligent driving habit type, the actual target battery level (or initial target battery level) when the vehicle is stationary or idling will always be lower than the actual target battery level (or initial target battery level) when the vehicle is driving. This is because energy consumption is higher when driving, and it is more necessary to start the range extender earlier to generate electricity to ensure smooth driving.

[0145] For example, for a vehicle with a preference for urban intelligent driving, when the vehicle is stationary or idling, its start-stop control conditions can be set as follows: starting battery level is (20+K) Ah, and stopping battery level is (22+K) Ah. When the vehicle is in motion, its start-stop control conditions can be set as follows: starting battery level is (25+K) Ah, stopping battery level is (35+K) Ah; starting speed is 30 km / h, and stopping speed is 10 km / h.

[0146] For vehicles with a preference for high-speed intelligent driving, when the vehicle is stationary or idling, the start-stop control conditions can be set as follows: starting battery level of (23+K) AH and stopping battery level of (25+K) AH. When the vehicle is in motion, the start-stop control conditions can be set as follows: starting battery level of (70+K) AH and stopping battery level of (85+K) AH, to avoid repeated start-stop of the range extender; the starting speed is 20km / h, the stopping speed is 5km / h, and the motor does not stop when decelerating and turning, thus improving the battery reserve capability.

[0147] Therefore, on the one hand, for the three intelligent driving habit types, the actual target energy required to control the start and stop of the range extender increases sequentially to adapt to different power demand scenarios. On the other hand, for any intelligent driving habit type, the actual target energy when the vehicle is stationary or idling is necessarily lower than the actual target energy when the vehicle is driving, to adapt to different driving conditions. Furthermore, based on the intelligent driving habit type, driving condition, and other factors (such as the on / off status of the intelligent driving system mentioned above, and the power generation adjustment parameters analyzed from historical driving data), a comprehensive range extender control strategy is formulated for the current user habits and vehicle condition. This allows for accurate and effective control of the range extender, avoiding repeated start and stop cycles, extending the range extender's lifespan, and improving the user's intelligent driving experience.

[0148] Please refer to Figure 3 Based on the same inventive concept, a second aspect of this application provides a vehicle control device, the vehicle control device 300 comprising:

[0149] The intelligent driving habit determination module 301 is used to obtain the intelligent driving mileage and the intelligent driving average speed, and to determine the user's intelligent driving habit type based on the intelligent driving mileage and the intelligent driving average speed; wherein, the intelligent driving habit type is used to characterize the user's usage preference type of the intelligent driving system;

[0150] The power generation adjustment parameter determination module 302 is used to obtain the cumulative mileage of the vehicle when it is in high power mode, and determine the power generation adjustment parameters based on the cumulative mileage; wherein, in high power mode, the difference between the vehicle's total power consumption and the vehicle's maximum power limit is less than a first preset difference; the power generation adjustment parameters are used to adjust the initial target power for controlling the start and stop of the range extender;

[0151] The start-stop condition generation module 303 is used to determine the start-stop control conditions of the range extender based on the intelligent driving habit type, the on / off status of the intelligent driving system, and the power generation adjustment parameters; the start-stop control conditions include start-stop speed conditions and / or start-stop power conditions.

[0152] The start-stop control module 304 is used to control the range extender to start or stop when the vehicle speed and / or remaining battery power meet the start-stop control conditions.

[0153] Optionally, the intelligent driving habit determination module 301 includes:

[0154] The data analysis submodule is used to determine the first percentage of intelligent driving mileage to the first total mileage; the first total mileage refers to the total distance traveled by the vehicle within the first historical period.

[0155] The first judgment submodule is used to determine that the user's intelligent driving habit type is non-preferred intelligent driving type when the first proportion is lower than the first preset proportion;

[0156] The second judgment submodule is used to determine that the user's intelligent driving habit type is the preferred urban intelligent driving type when the first proportion is higher than or equal to the first preset proportion and the average speed of intelligent driving is lower than the first preset speed.

[0157] The third judgment submodule is used to determine that the user's intelligent driving habit type is a preference for high-speed intelligent driving when the first proportion is higher than or equal to the first preset proportion and the average speed of intelligent driving is higher than or equal to the first preset speed.

[0158] Optionally, the power generation adjustment parameter determination module 302 includes:

[0159] The data analysis submodule is used to determine the second percentage of the cumulative mileage to the second total mileage; the second total mileage refers to the total distance traveled by the vehicle during the second historical period.

[0160] The first adjustment submodule is used to determine the power generation adjustment parameter as the first adjustment value when the second proportion is higher than the second preset proportion and less than or equal to the third preset proportion.

[0161] The second adjustment submodule is used to determine the power generation adjustment parameter as the second adjustment value when the second proportion is higher than the third preset proportion and less than or equal to the fourth preset proportion.

[0162] The third adjustment submodule is used to determine the power generation adjustment parameter as the third adjustment value when the second proportion is higher than the fourth preset proportion;

[0163] The first, second, and third adjustment values ​​increase sequentially.

[0164] Optionally, the start / stop condition generation module 303 includes:

[0165] The initial value determination submodule is used to determine the initial target battery level for controlling the start and stop of the range extender under the intelligent driving habit type based on the on / off state of the intelligent driving system; the initial target battery level increases sequentially for non-preferred intelligent driving type, preferred urban intelligent driving type, and preferred highway intelligent driving type.

[0166] The condition generation submodule is used to determine the start-stop control conditions of the range extender under the intelligent driving habit type based on the initial target power and power generation adjustment parameters.

[0167] Optionally, the initial value determination submodule includes:

[0168] The first setting unit is used to determine the initial target battery level as the first battery level when the intelligent driving habit type is non-preferred intelligent driving type, or when the intelligent driving habit type is preferred urban intelligent driving type and the intelligent driving system is in the off state;

[0169] The second setting unit is used to determine the initial target battery level as the second battery level when the intelligent driving habit type is preferred urban intelligent driving type and the intelligent driving system is in the on state.

[0170] The third setting unit is used to determine the initial target battery level as the third battery level when the intelligent driving habit type is preferred to be high-speed intelligent driving.

[0171] The first, second, and third battery levels increase sequentially.

[0172] Optionally, the above device further includes: a vehicle state determination module, used to determine the vehicle state, which includes a stationary state and / or an idling state; when the vehicle state is stationary or idling, the start-stop control conditions include start-stop power conditions.

[0173] The aforementioned start / stop condition generation module 303 is specifically used for:

[0174] Based on the initial target power and power generation adjustment parameters, determine the actual target power for controlling the start and stop of the range extender;

[0175] The actual target power is determined as the start-stop power condition.

[0176] Optionally, the above vehicle status also includes driving status; when the vehicle status is driving status, the start-stop control conditions include start-stop speed conditions and start-stop power conditions.

[0177] The aforementioned start / stop condition generation module 303 is specifically used for:

[0178] Determine the target vehicle speed for controlling the start and stop of the range extender under intelligent driving habits, and set the target vehicle speed as the start and stop speed condition;

[0179] Based on the initial target power and power generation adjustment parameters, the actual target power for controlling the start and stop of the range extender is determined, and the actual target power is set as the start and stop power condition.

[0180] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0181] Thirdly, based on the same inventive concept, embodiments of this application provide a storage medium storing machine-executable instructions, which, when executed by a processor, implement the vehicle control method proposed in the first aspect of this application.

[0182] It should be noted that the specific implementation of the storage medium in the embodiments of this application refers to the specific implementation of the vehicle control method proposed in the first aspect of the embodiments of this application, and will not be repeated here.

[0183] Fourthly, based on the same inventive concept, referring to Figure 4 This application provides a vehicle 400, including a processor 401 and a memory 402; the memory 402 stores machine-executable instructions that can be executed by the processor 401, and the processor 401 is used to execute the machine-executable instructions to implement the vehicle control method proposed in the first aspect of this application.

[0184] Optionally, the memory includes: a first memory cell, a second memory cell, and a third memory cell; wherein,

[0185] The first storage unit is used to store the total mileage of this trip when the vehicle is powered off;

[0186] The second storage unit is used to store the intelligent driving mileage traveled during this trip while the intelligent driving system is activated, when the vehicle is powered off.

[0187] The third storage unit is used to store the average speed of intelligent driving during the intelligent driving mileage when the vehicle is powered off.

[0188] It should be noted that the specific implementation of the vehicle 400 in this application embodiment refers to the specific implementation of the vehicle control method proposed in the first aspect of the above-mentioned application embodiment, and will not be repeated here.

[0189] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0190] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, embodiments of this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0191] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0192] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0193] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0194] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0195] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0196] The above provides a detailed description of a vehicle control method, device, medium, and vehicle provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A vehicle control method characterized by, The method comprises: obtaining intelligent driving mileage and intelligent driving average speed, and determining an intelligent driving habit type of a user according to the intelligent driving mileage and the intelligent driving average speed; wherein the intelligent driving habit type is used to represent a use preference type of the user for an intelligent driving system; obtaining a cumulative mileage of the vehicle running in a high-power state, and determining a power generation adjustment parameter according to the cumulative mileage; wherein, in the high-power state, a difference between a whole vehicle use power and a whole vehicle maximum limit power of the vehicle is less than a first preset difference; the power generation adjustment parameter is used to adjust an initial target electric quantity for controlling start-stop of a range extender, wherein the initial target electric quantity is related to the intelligent driving habit type and a switch state of the intelligent driving system; determining a start-stop control condition of the range extender according to the intelligent driving habit type, the switch state of the intelligent driving system and the power generation adjustment parameter; the start-stop control condition comprises a start-stop vehicle speed condition and / or a start-stop electric quantity condition; controlling the range extender to start or stop in a case where a vehicle speed and / or a residual electric quantity meet the start-stop control condition.

2. The method of claim 1, wherein, The intelligent driving habit type comprises a non-preference intelligent driving type, a preference urban intelligent driving type and a preference highway intelligent driving type, and determining an intelligent driving habit type of a user according to the intelligent driving mileage and the intelligent driving average speed comprises: determining a first proportion of the intelligent driving mileage in a first total mileage; the first total mileage refers to a total distance of the vehicle running in a first historical period; in a case where the first proportion is lower than a first preset proportion, determining that the intelligent driving habit type of the user is the non-preference intelligent driving type; in a case where the first proportion is higher than or equal to the first preset proportion and the intelligent driving average speed is lower than a first preset speed, determining that the intelligent driving habit type of the user is the preference urban intelligent driving type; in a case where the first proportion is higher than or equal to the first preset proportion and the intelligent driving average speed is higher than or equal to the first preset speed, determining that the intelligent driving habit type of the user is the preference highway intelligent driving type.

3. The method of claim 1, wherein, Determining a power generation adjustment parameter according to the cumulative mileage comprises: determining a second proportion of the cumulative mileage in a second total mileage; the second total mileage refers to a total distance of the vehicle running in a second historical period; in a case where the second proportion is higher than a second preset proportion and less than or equal to a third preset proportion, determining that the power generation adjustment parameter is a first adjustment value; in a case where the second proportion is higher than the third preset proportion and less than or equal to a fourth preset proportion, determining that the power generation adjustment parameter is a second adjustment value; in a case where the second proportion is higher than the fourth preset proportion, determining that the power generation adjustment parameter is a third adjustment value; wherein the first adjustment value, the second adjustment value and the third adjustment value increase in turn.

4. The method of claim 2, wherein, Determining a start-stop control condition of the range extender according to the intelligent driving habit type, the switch state of the intelligent driving system and the power generation adjustment parameter comprises: determine the initial target electric quantity for controlling the range extender to start and stop under the intelligent driving habit type based on the switch state of the intelligent driving system, the initial target electric quantity corresponding to the non-preferred intelligent driving type, the preferred urban intelligent driving type, and the preferred highway intelligent driving type increasing in turn; determine the start and stop control condition of the range extender under the intelligent driving habit type based on the initial target electric quantity and the power generation adjustment parameter.

5. The method of claim 4, wherein, determine the initial target electric quantity for controlling the range extender to start and stop under the intelligent driving habit type based on the switch state of the intelligent driving system, including: in a case where the intelligent driving habit type is the non-preferred intelligent driving type, or the intelligent driving habit type is the preferred urban intelligent driving type and the switch state of the intelligent driving system is the off state, determine the initial target electric quantity as a first electric quantity; in a case where the intelligent driving habit type is the preferred urban intelligent driving type and the switch state of the intelligent driving system is the on state, determine the initial target electric quantity as a second electric quantity; in a case where the intelligent driving habit type is the preferred highway intelligent driving type, determine the initial target electric quantity as a third electric quantity; wherein the first electric quantity, the second electric quantity, and the third electric quantity increase in turn.

6. The method of claim 4, wherein, The method further includes: determining a vehicle state, the vehicle state including a static state and / or an idling state; in a case where the vehicle state is the static state or the idling state, the start and stop control condition includes a start and stop electric quantity condition; determine the start and stop control condition of the range extender under the intelligent driving habit type based on the initial target electric quantity and the power generation adjustment parameter, including: determine an actual target electric quantity for controlling the range extender to start and stop based on the initial target electric quantity and the power generation adjustment parameter; determine the actual target electric quantity as the start and stop electric quantity condition.

7. The method of claim 4, wherein, The vehicle state further includes a driving state; in a case where the vehicle state is the driving state, the start and stop control condition includes a start and stop vehicle speed condition and a start and stop electric quantity condition; determine the start and stop control condition of the range extender under the intelligent driving habit type based on the initial target electric quantity and the power generation adjustment parameter, including: determine a target vehicle speed for controlling the range extender to start and stop under the intelligent driving habit, and determine the target vehicle speed as the start and stop vehicle speed condition; determine an actual target electric quantity for controlling the range extender to start and stop based on the initial target electric quantity and the power generation adjustment parameter, and determine the actual target electric quantity as the start and stop electric quantity condition.

8. A vehicle control device characterized by comprising: The device includes: an intelligent driving habit determination module configured to acquire an intelligent driving mileage and an intelligent driving average speed, and determine an intelligent driving habit type of a user according to the intelligent driving mileage and the intelligent driving average speed; wherein the intelligent driving habit type is used to represent a use preference type of the user for an intelligent driving system; The power generation adjustment parameter determination module is configured to acquire a cumulative mileage of the vehicle in a high-power state, and determine a power generation adjustment parameter according to the cumulative mileage; wherein, in the high-power state, a difference between a total vehicle usage power and a total vehicle maximum limit power of the vehicle is less than a first preset difference; the power generation adjustment parameter is used to adjust an initial target electric quantity for controlling start-stop of the range extender, wherein the initial target electric quantity is related to the intelligent driving habit type and a switch state of the intelligent driving system; The start-stop condition generation module is configured to determine a start-stop control condition of the range extender according to the intelligent driving habit type, the switch state of the intelligent driving system and the power generation adjustment parameter; the start-stop control condition includes a start-stop vehicle speed condition and / or a start-stop electric quantity condition; The start-stop control module is configured to control the range extender to start or stop when a vehicle speed and / or a residual electric quantity meet the start-stop control condition.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the vehicle control method of any one of claims 1 to 7.

10. A vehicle characterized by comprising: The vehicle is a parallel hybrid electric vehicle, and the vehicle includes a processor and a memory; the memory stores machine executable instructions capable of being executed by the processor, and the processor is configured to execute the machine executable instructions to implement the vehicle control method of any one of claims 1 to 7.

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