Range extender control method and device, vehicle end control equipment and readable storage medium

Abstract

The application relates to a range extender control method and device, a vehicle end control device and a readable storage medium, and relates to the technical field of vehicles.The method comprises the following steps: acquiring current trip data, vehicle position data and vehicle state data of a vehicle; determining a use type of the vehicle based on the current trip data, historical trip data of the vehicle and pre-determined characteristic information of different use types; determining a driving environment type of the vehicle and a driving behavior type of a driver based on the vehicle position data and the vehicle state data, and pre-determined characteristic information corresponding to different environment types and driving behavior types respectively; determining a target control strategy from a pre-set range extender control strategy library based on the use type and at least one of the driving environment type and the driving behavior type; and controlling the range extender based on the target control strategy; the range extender outputs electric energy that is more in line with requirements, which is beneficial to improving energy utilization efficiency and improving the driving experience of the vehicle driver.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a range extender control method, apparatus, vehicle-side control equipment, and computer-readable storage medium. Background Technology

[0002] With the continuous development of automotive technology, range-extended electric vehicles (REEVs), as an emerging type of new energy vehicle, have received widespread attention. As a special type of electric vehicle, REEVs have both a pure electric drive mode and a range-extending mode, alleviating range anxiety to some extent. However, existing range extenders typically operate according to a preset mode and cannot adjust in real time based on the driver's actual driving behavior and road conditions. This can lead to situations where the range extender's power generation may not meet the vehicle's electric motor's needs, or there may be excess power generation, resulting in low energy efficiency. Summary of the Invention

[0003] Therefore, it is necessary to provide a range extender control method, device, vehicle-side control equipment, computer-readable storage medium, and computer program product that can adjust the specific control mode of the vehicle range extender based on data such as the driver's actual driving behavior and changes in road conditions, in order to address the above-mentioned technical problems.

[0004] In a first aspect, this application provides a range extender control method, the method comprising:

[0005] Obtain the vehicle's current trip data, vehicle location data, and vehicle status data;

[0006] Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, the vehicle's use type is determined; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, the vehicle's driving environment type and the driver's driving behavior type are determined.

[0007] Based on the application type, and at least one of the driving environment type and the driving behavior type, a corresponding target control strategy is determined from a pre-set range extender control strategy library;

[0008] The range extender is controlled based on the target control strategy.

[0009] In one embodiment, determining a corresponding target control strategy from a pre-set range extender control strategy library based on at least one of the usage type, the driving environment type, and the driving behavior type includes:

[0010] Based on the intended use type, and at least one of the driving environment type and the driving behavior type, a target driving strategy for the vehicle is determined from a pre-set driving strategy library, and the vehicle is driven based on the target driving strategy; the target driving strategy includes pure electric drive, hybrid electric drive, and fuel-powered drive.

[0011] Based on the target-driven strategy, the corresponding target control strategy is determined from the pre-set range extender control strategy library.

[0012] In one embodiment, it further includes:

[0013] Obtain the preset power threshold corresponding to the target control strategy, and control the vehicle's range extender to start when the vehicle's battery power is less than the preset power threshold.

[0014] In one embodiment, it further includes:

[0015] When the target driving strategy of the vehicle is determined to be pure electric drive or hybrid drive, the vehicle's battery is charged based on the range extender after startup, and / or the vehicle's drive motor is powered based on the range extender after startup.

[0016] In one embodiment, it further includes:

[0017] When the target drive strategy of the vehicle is determined to be fuel-driven, power is supplied to the vehicle's drive motor based on the range extender after startup.

[0018] In one embodiment, it further includes:

[0019] While a portion of the electrical energy output by the range extender meets the power supply requirements of the vehicle's drive motor, another portion of the electrical energy charges the vehicle's battery.

[0020] In one embodiment, the usage type includes commuting type and operational type;

[0021] The step of determining the target driving strategy for the vehicle from a pre-set driving strategy library based on at least one of the usage type, the driving environment type, and the driving behavior type includes:

[0022] When the usage type is the operational type, the target driving strategy of the vehicle is determined from the preset vehicle driving strategy library based on the driving environment type as either pure electric drive or hybrid drive.

[0023] When the usage type is the commuting type, based on the driving environment type and the driving behavior type, the target driving strategy of the vehicle is determined from a preset vehicle driving strategy library to be one of the pure electric drive, the hybrid drive, and the fuel drive.

[0024] Secondly, this application also provides a range extender control device, the device comprising:

[0025] The data acquisition module is used to acquire the vehicle's current trip data, vehicle location data, and vehicle status data;

[0026] The data processing module is used to determine the vehicle's purpose type based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined purpose types; and to determine the vehicle's driving environment type and the driver's driving behavior type based on the vehicle's location data and the vehicle's status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types.

[0027] The control strategy determination module is used to determine a corresponding target control strategy from a pre-set range extender control strategy library based on the purpose type, the driving environment type, and the driving behavior type.

[0028] The range extender control module is used to control the range extender based on the target control strategy.

[0029] Thirdly, this application also provides a vehicle-side control device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0030] Obtain the vehicle's current trip data, vehicle location data, and vehicle status data;

[0031] Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, the vehicle's use type is determined; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, the vehicle's driving environment type and the driver's driving behavior type are determined.

[0032] Based on the application type, and at least one of the driving environment type and the driving behavior type, a corresponding target control strategy is determined from a pre-set range extender control strategy library;

[0033] The range extender is controlled based on the target control strategy.

[0034] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0035] Obtain the vehicle's current trip data, vehicle location data, and vehicle status data;

[0036] Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, the vehicle's use type is determined; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, the vehicle's driving environment type and the driver's driving behavior type are determined.

[0037] Based on the application type, and at least one of the driving environment type and the driving behavior type, a corresponding target control strategy is determined from a pre-set range extender control strategy library;

[0038] The range extender is controlled based on the target control strategy.

[0039] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0040] Obtain the vehicle's current trip data, vehicle location data, and vehicle status data;

[0041] Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, the vehicle's use type is determined; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, the vehicle's driving environment type and the driver's driving behavior type are determined.

[0042] Based on the application type, and at least one of the driving environment type and the driving behavior type, a corresponding target control strategy is determined from a pre-set range extender control strategy library;

[0043] The range extender is controlled based on the target control strategy.

[0044] This application provides a range extender control method, apparatus, vehicle-side control device, computer-readable storage medium, and computer program product. The range extender control method involves acquiring current travel data, vehicle location data, and vehicle status data of the vehicle; determining the vehicle's usage type based on the current travel data, historical travel data, and pre-determined feature information corresponding to different usage types; determining the vehicle's driving environment type and driver's driving behavior type based on the vehicle location data, vehicle status data, and pre-determined feature information corresponding to different environment types and driving behavior types; determining a corresponding target control strategy from a pre-set range extender control strategy library based on the usage type and at least one of the driving environment type and driving behavior type; and controlling the range extender based on the target control strategy. Therefore, by using the vehicle's current travel data, historical travel data, and feature information associated with the vehicle's usage type, the system controls the vehicle's... Accurate identification of the vehicle's current usage type is achieved by using vehicle location data, vehicle status data, and feature information related to the vehicle's environment to accurately identify the current driving environment type. Furthermore, by using the same data, the driver's current driving behavior type is identified. This allows for real-time and accurate identification of the vehicle's current usage type, driving environment type, and driver's driving behavior type. This, in turn, improves the accuracy of the target control strategy for the range extender determined based on these factors. Ultimately, this reduces wear and tear on the range extender and the risk of failure, extends the vehicle's lifespan, and optimizes the vehicle's power performance. This results in the range extender outputting electrical energy that better meets the driver's power needs, improving energy efficiency and enhancing the driving experience for vehicle users. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating a range extender control method in one embodiment;

[0047] Figure 2 This is a flowchart illustrating the range extender control method in another embodiment;

[0048] Figure 3 This is an architecture diagram of the range extender control system in one embodiment;

[0049] Figure 4 This is a structural block diagram of the range extender control device in one embodiment;

[0050] Figure 5 This is an internal structural diagram of the vehicle-side control device in one embodiment. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] In related technologies, vehicle range extender control methods are typically based on fixed rules or simple operating condition judgments, failing to fully consider the user's personalized driving behavior. This results in low energy efficiency and room for improvement in vehicle performance and user experience. Specifically, the problems with range extender control methods in related technologies include at least: low energy efficiency, noise and vibration issues, high fuel consumption, and poor driving experience.

[0053] The specific reasons for low energy utilization efficiency may be that the range extender adopts a fixed operating mode and there are energy conversion losses, among which:

[0054] In a fixed operating mode, specifically, the range extender typically operates according to a preset mode and cannot adjust in real time based on the driver's actual driving behavior and changes in road conditions. This can lead to situations where the range extender's power generation may not meet the vehicle's electric motor's needs, or may be excessive, thus reducing energy utilization efficiency.

[0055] Energy conversion losses occur because range extenders undergo multiple energy conversions during operation, such as converting fuel into mechanical energy and then into electrical energy; this process results in some energy loss. This energy loss may be more pronounced when the range extender's operating mode is mismatched with driving behavior.

[0056] The specific reasons for the noise and vibration problems may be that the range extender operates at a fixed speed and cannot be dynamically adjusted, including:

[0057] Fixed-speed operation, specifically, means that the range extender may operate at a fixed speed when not engaged in driving to maintain a stable power generation. However, this fixed-speed operation can generate significant noise and vibration, negatively impacting the driver's experience.

[0058] The inability to dynamically adjust means that the driver's driving behavior, such as acceleration, deceleration, and turning, causes changes in the vehicle's power demand. If the range extender cannot dynamically adjust to these changes, it may generate unnecessary noise and vibration during periods of low demand, or fail to meet power requirements during periods of high demand.

[0059] The high fuel consumption may be due to the range extender operating under suboptimal conditions and the inability to perform predictive control of the range extender.

[0060] Non-optimal operating conditions refer specifically to situations where the range extender may operate under suboptimal conditions when not in conjunction with driving behavior. For example, if the range extender continues to generate electricity at high power when the vehicle is decelerating or braking, this electrical energy may be wasted, while also increasing fuel consumption.

[0061] Unpredictable control, specifically, is due to the uncertainty of the driver's driving behavior. If the range extender cannot predictively control based on the driver's behavior, it may not be able to adjust its operating status in advance to cope with upcoming changes in energy demand, resulting in higher fuel consumption.

[0062] The specific reasons for the poor driving experience may include sluggish power response and reduced driving comfort, among which:

[0063] Lagging power response means that if the range extender cannot adjust in real time according to the driver's driving behavior, it may not be able to respond to changes in the driver's power demand in a timely manner, resulting in a lag in power response.

[0064] Decreased comfort, specifically, noise and vibration issues not only affect the driver's driving experience but can also negatively impact vehicle comfort. For example, excessive noise can distract the driver, while vibrations can be transmitted to the driver through the seat and steering wheel.

[0065] To address the aforementioned technical problems, this application provides a range extender control method that can adjust the specific control mode of the vehicle range extender in real time based on data such as the driver's actual driving behavior and changes in road conditions.

[0066] The range extender control method provided in this application acquires the vehicle's current trip data, historical trip data, and feature information related to the vehicle's usage type to accurately identify the vehicle's current usage type; acquires the vehicle's location data and vehicle status data, and acquires feature information related to the vehicle's environment to accurately identify the vehicle's current driving environment type; and acquires the vehicle's location data and vehicle status data, and acquires feature information related to the vehicle's driving behavior to accurately identify the driver's current driving behavior type. This improves the accuracy of the target control strategy for the range extender determined based on the current vehicle usage type, driving environment type, and driving behavior type. The range extender is then activated based on the target control strategy, which improves energy efficiency and enhances the driver's driving experience.

[0067] In one exemplary embodiment, such as Figure 1 As shown, a range extender control method is provided. Taking the application of this method to vehicle equipment as an example, the method includes the following steps 101 to 104. Wherein:

[0068] Step 101: Obtain the vehicle's current trip data, vehicle location data, and vehicle status data.

[0069] The vehicle's current trip data refers to its real-time trip data. This trip data should include at least the trip's travel time, mileage, origin province, origin city, origin AOI (Area of ​​Interest) type, destination province, destination city, and destination AOI ID. The ID is also the AOI's encoding. The origin AOI type can be obtained by converting map data from the GPS (Global Positioning System) at the start of the data collection, and the destination AOI ID can be obtained by converting map data from the GPS at the end of the data collection.

[0070] Vehicle location data, also known as vehicle location information, can include at least the province where the vehicle is located, the city within that province, the region within that city, and whether the region is mountainous or urban.

[0071] Vehicle status data, also known as the vehicle's current state data, can include at least speed data, braking data, throttle data, steering data, following data, and lane departure data. Specifically, speed data can include real-time speed, maximum speed over a period of time, average speed over a period of time, maximum acceleration over a period of time, maximum deceleration over a period of time, number of rapid decelerations over a period of time, and number of rapid accelerations over a period of time. Braking data can include the number or frequency of braking over a period of time, maximum braking force over a period of time, average braking force over a period of time, and braking duration over a period of time. Throttle data can include changes in pedal depth over a period of time and the number or frequency of accelerator pedal presses over a period of time. Steering data includes the vehicle's steering angle, steering effort, and maximum steering speed. Following data includes the minimum following distance. Lane departure data includes the maximum lane departure data and the number of lane departures over a period of time.

[0072] It should be added that the examples of vehicle trip data, location data and status data mentioned above are only optional embodiments provided by this application, but this application is not limited thereto, and may further include other vehicle-related data not shown above when required.

[0073] For example, in order to determine the range extender control strategy for a vehicle, it is necessary to first obtain some data information about the vehicle, such as the vehicle's current trip data, vehicle location data, and vehicle status data, so as to analyze the current situation of the vehicle and improve the matching degree of the subsequently selected range extender control strategy.

[0074] The acquisition of vehicle trip data, vehicle location data, and vehicle status data can be achieved based on multiple sensors on the vehicle and the vehicle's information system.

[0075] Step 102: Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, determine the vehicle's use type; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, determine the vehicle's driving environment type and the driver's driving behavior type.

[0076] Among them, the vehicle's historical travel data is the vehicle's previous travel data.

[0077] The characteristic information of the purpose type refers to the characteristic data information that a vehicle needs to meet when determining the purpose type of the vehicle. For example, if you want to determine that the purpose type of the vehicle is a commuter vehicle, it needs to meet the characteristics of frequent start-stop, short-distance driving, and high driving comfort. If you want to determine that the purpose of the vehicle is a ride-hailing vehicle or a taxi, it needs to meet the characteristics of long-term operation, high mileage requirements, and a range extender with fast response capability.

[0078] The characteristic information of the environment type refers to the characteristic data information that a vehicle needs to meet when determining the type of environment it is in. For example, if you want to determine that the vehicle is in a city, it needs to meet the characteristics that the vehicle's location is inside the city and that there are many vehicles and tall buildings around the vehicle. If you want to determine that the vehicle is in a mountainous area, it needs to meet the characteristics that the vehicle's location is in a mountainous area and that there are few vehicles and tall buildings around the vehicle.

[0079] Driving behavior type characteristics refer to the characteristic data information that needs to be met when determining the type of driving behavior of a vehicle driver. For example, to determine if a driver is a mild driver, characteristics such as maintaining a moderate speed, not frequently speeding or accelerating suddenly, taking a smooth operating method when accelerating, decelerating or turning, avoiding sudden braking and sharp turns, and not frequently running the engine under high load are required. To determine if a driver is an aggressive driver, characteristics such as pursuing high speeds, frequently speeding, frequently changing lanes, and frequently accelerating and overtaking are required. To determine if a driver is an economical driver, characteristics such as focusing on cost savings, prioritizing the use of electricity over gasoline to enable the vehicle to travel a longer distance while consuming less fuel are required.

[0080] It should be added that the examples of the vehicle's usage type, environment type, and driving behavior type characteristics mentioned above are only optional embodiments provided by this application, but this application is not limited thereto, and may further include other data characteristics not shown above when required.

[0081] It should also be added that in the process of determining the current use type, environment type and driving behavior type of a vehicle, at least some sub-data from the vehicle's current trip data, vehicle location data, vehicle status data and historical trip data are compared with the feature information corresponding to the use type, environment type and driving behavior type respectively. For the determination of the final related type, it is not required that the comparison result is 100% identical. It is also possible to set the comparison result to be obtained when the similarity is greater than a set value based on the needs.

[0082] For example, after acquiring the vehicle's current trip data, vehicle location data, and vehicle status data, further usage type feature information for identifying the vehicle's purpose can be extracted. This allows for comparative analysis based on the current vehicle-related data and the usage type feature information. If the current vehicle-related data meets the feature information required for a preset usage type, then the current vehicle's usage type can be determined as the usage type corresponding to the feature information. For instance, if the current vehicle meets the aforementioned feature information such as frequent starts and stops, short-distance driving, and high driving comfort, then the current vehicle's usage type can be determined as a commuter vehicle.

[0083] It should be added that the technical solution provided in this application, in the process of identifying the vehicle's purpose, at least refers to the vehicle's current trip data and historical trip data. That is, it does not solely rely on the vehicle's historical trip data to determine the vehicle's current purpose type. This is because in real life, some company or organization vehicles may be used for commuting at certain times, and at other times they may be used more like taxis. Therefore, judging the purpose type solely based on the vehicle's historical trip data may lead to errors. Furthermore, some vehicles commonly used for commuting may also be used as ride-hailing vehicles at certain times. Therefore, combining the vehicle's current trip data and historical trip data to determine the current purpose type of the vehicle helps improve the accuracy of identifying the vehicle's current purpose type.

[0084] After acquiring the vehicle's current trip data, vehicle location data, and vehicle status data, further feature information for identifying the vehicle's environment type can be extracted. This allows for comparative analysis between the current vehicle-related data and the environment type feature information. If the current vehicle-related data meets the feature information required for a preset environment type, then the current vehicle's environment type can be determined as the environment type corresponding to the feature information. For example, if the current vehicle meets the aforementioned characteristics of being located within a city, and having a large number of vehicles and tall buildings around it, then the current vehicle's environment type can be determined as urban.

[0085] It should be added that, in the technical solution provided in this application, when identifying and determining the type of environment in which the vehicle is located, at least the current vehicle location data and vehicle status data of the vehicle will be referenced, so as to improve the accuracy of identifying the type of environment in which the vehicle is located.

[0086] After acquiring the vehicle's current trip data, vehicle location data, and vehicle status data, further feature information for identifying the driver's driving behavior type can be extracted. This is done by comparing and analyzing the current vehicle-related data with the feature information of the driving behavior type. If the current vehicle-related data meets the feature information required for a preset driving behavior type, then the driver's driving behavior type can be determined to be the driving behavior type corresponding to the feature information. For example, if the current vehicle meets the characteristics mentioned above, such as maintaining a moderate speed, not frequently speeding or accelerating suddenly, using a smooth operating method when accelerating, decelerating, or turning, avoiding sudden braking and sharp turns, and the engine not frequently operating under high load, then the driver's driving behavior type can be determined to be mild.

[0087] It should be added that, in the technical solution provided in this application, when identifying the driving behavior type of a vehicle driver, at least the current vehicle location data and vehicle status data are referenced to improve the accuracy of identifying the driving behavior type of the vehicle driver.

[0088] Step 103: Based on the application type, and at least one of the driving environment type and driving behavior type, determine the corresponding target control strategy from the pre-set range extender control strategy library.

[0089] The pre-set range extender control strategy library includes a variety of different control strategies for the range extender; different range extender control strategies can be adapted from the pre-set range extender control strategy library based on the different current conditions of the vehicle.

[0090] For example, given the current vehicle usage type, driving environment type, and driver behavior type, data that needs to be combined and referenced can be selected from both the driving environment type and the driving behavior type based on the different usage types; in order to determine the vehicle's target control strategy through the usage type and at least one of the driving environment type and the driving behavior type.

[0091] In other words, for vehicles with different uses, the following scenarios are possible: for a certain use type, the target control strategy of the range extender can be determined based on the use type, driving environment type, and driver's driving behavior type; for a certain use type, the target control strategy of the range extender can be determined based on the use type and driving environment type; and for a certain use type, the target control strategy of the range extender can be determined based on the use type and driver's driving behavior type.

[0092] Step 104: Control the range extender based on the target control strategy.

[0093] For example, after determining the target control strategy for the vehicle based on at least one of the usage type, driving environment type, and driving behavior type, the target control strategy can be used to turn the range extender on or off.

[0094] In the range extender control method provided in this application, the current usage type of the vehicle is accurately identified by using the vehicle's current trip data, historical trip data, and feature information related to the vehicle's usage type. The current driving environment type of the vehicle is accurately identified by using the vehicle's location data, vehicle status data, and feature information related to the vehicle's environment. The current driving behavior type of the driver is accurately identified by using the vehicle's location data, vehicle status data, and feature information related to the driver's driving behavior. This facilitates real-time and accurate identification of the vehicle's current usage type, driving environment type, and driver's driving behavior type, thereby improving the accuracy of the target control strategy for the range extender determined based on the usage type, driving environment type, and driving behavior type. This helps reduce the wear and tear and failure risk of the range extender, extends the vehicle's service life, and optimizes the vehicle's power performance, enabling the range extender to output electrical energy that better meets the driver's power needs. This improves energy utilization efficiency and enhances the driving experience for vehicle users.

[0095] In an exemplary embodiment, step 103, which involves determining a corresponding target control strategy from a pre-set range extender control strategy library based on the usage type, driving environment type, and driving behavior type, can be specifically implemented by executing steps 131 and 132, wherein:

[0096] Step 131: Based on the purpose type, and at least one of the driving environment type and driving behavior type, determine the target driving strategy of the vehicle from the pre-set driving strategy library, and drive the vehicle based on the target driving strategy; the target driving strategy includes pure electric drive, hybrid drive and fuel drive.

[0097] Step 132: Determine the corresponding target control strategy from the pre-set range extender control strategy library based on the target-driven strategy.

[0098] For example, after determining the vehicle's current usage type, driving environment type, and driver's driving behavior type, a suitable current driving strategy for the vehicle can be determined based on the usage type and at least one of the driving environment type and driving behavior type. The relevant driving strategy can be determined by comparing the vehicle's current usage type, driving environment type, and driving behavior type with the various types of driving strategies in a pre-set driving strategy library that require matching usage type, driving environment type, and driving behavior type, thereby determining the target driving strategy currently suitable for the vehicle based on the comparison results. Furthermore, after determining the target driving strategy suitable for the vehicle's current situation, the vehicle can be driven based on this target strategy.

[0099] Then, from a pre-set range extender control strategy library, a range extender control strategy adapted to the vehicle's current driving strategy is determined to achieve the most suitable range extender control strategy for the current vehicle situation. Controlling the range extender with this determined control strategy enables the range extender to output electrical energy that better matches the driver's power requirements under the current driving conditions, thus improving energy efficiency and enhancing the driving experience for vehicle users.

[0100] It should be added that the target-driven strategy is only a recommended driving method provided to vehicle users. It does not mean that the vehicle can only be driven based on this target-driven strategy. Users can choose to adopt or not adopt the target-driven strategy to drive the vehicle based on their own needs.

[0101] In an exemplary embodiment, the range extender control method provided in this application further includes:

[0102] Obtain the preset battery level threshold corresponding to the target control strategy, and control the vehicle's range extender to start when the vehicle's battery level is less than the preset battery level threshold.

[0103] For example, regarding the start-up control method of the range extender during vehicle operation, this application provides an optional implementation method that controls the start-up time of the range extender based on the battery pack charge level of the vehicle. For instance, in a pre-set range extender control strategy library, different control strategies correspond to different battery pack charge level matching thresholds. Therefore, when the vehicle is matched with different target control strategies, there are different battery pack charge level thresholds for starting the range extender.

[0104] Therefore, after determining the target control strategy adapted to the vehicle range extender by executing step 103, and before starting the range extender, the vehicle's battery pack charge level can be monitored in real time. If the vehicle's battery charge level is less than the preset charge threshold for starting the range extender, the vehicle's range extender can be started.

[0105] The embodiment provided in this application can dynamically control the activation of the vehicle's range extender in real time based on the vehicle's usage type, driving environment type, and driving behavior type, and by determining a target control strategy adapted to the vehicle's current situation, combined with a preset battery threshold corresponding to the target control strategy. Correspondingly, if the vehicle's current condition does not meet the requirements for activating the range extender, the range extender will be deactivated until the requirements for activating the range extender are met again.

[0106] When the range extender is not needed, turning it off helps reduce the noise generated during its startup, thus improving the user experience.

[0107] In an exemplary embodiment, the range extender control method provided in this application further includes:

[0108] When the target driving strategy of the vehicle is determined to be pure electric drive or hybrid drive, the vehicle's battery is charged based on the range extender after startup, and / or the vehicle's drive motor is powered based on the range extender after startup.

[0109] For example, if the target driving strategy for the vehicle is determined to be pure electric drive based on the vehicle's purpose type, driving environment type, and driver's driving behavior type, then the vehicle will be driven in pure electric mode. During pure electric driving, if the range extender's activation conditions are met and it is activated, the range extender can be used to charge the vehicle's battery pack to improve the vehicle's range; alternatively, it can be used to supply power to the vehicle's drive motor to improve the vehicle's driving capability. Furthermore, if the range extender outputs sufficient energy, it can also be used to charge the vehicle's battery and simultaneously supply power to the vehicle's drive motor, thereby ensuring the driver's required driving capability while also charging the battery, thus improving energy efficiency while enhancing the user's driving experience.

[0110] This application also provides an alternative implementation method where, when the target driving strategy for the vehicle is determined to be hybrid electric drive based on the vehicle's purpose type, driving environment type, and driver's driving behavior type, the vehicle is driven using hybrid electric drive. During hybrid electric drive, if the range extender's activation conditions are met and it is activated, the range extender can be used to charge the vehicle's battery pack to improve the vehicle's range; alternatively, it can be used to supply power to the vehicle's drive motor to improve the vehicle's driving capability. Furthermore, if the range extender outputs sufficient energy, it can be used to simultaneously charge the vehicle's battery and drive motor, thereby ensuring the driver's required driving capability while also charging the battery, thus improving energy efficiency while enhancing the user's driving experience.

[0111] In an exemplary embodiment, the range extender control method provided in this application further includes:

[0112] When the vehicle's target driving strategy is determined to be fuel-powered, the range extender supplies power to the vehicle's drive motor after startup.

[0113] For example, this application also provides an alternative implementation method in which, when the target driving strategy of the vehicle is determined to be fuel-driven based on the vehicle's purpose type, driving environment type, and the driver's driving behavior type, the vehicle is driven in a fuel-driven manner. During the process of the vehicle driving in a fuel-driven manner, if the start-up conditions of the range extender are met and the range extender is started, the range extender can be selected to supply power to the vehicle's drive motor to improve the vehicle's driving capability, ensure the driving capability required by the driver, and improve the driving experience of the vehicle user.

[0114] In an exemplary embodiment, the range extender control method provided in this application further includes:

[0115] While some of the electrical energy output from the range extender meets the power supply requirements of the vehicle's drive motor, the remaining electrical energy charges the vehicle's battery.

[0116] For example, when the vehicle is driving on fuel, and the range extender starts when the start-up conditions are met, the range extender can be selected to use the electrical energy output by the range extender to power the vehicle's drive motor. However, if the range extender has improved the vehicle's driving capability and achieved the driving capability required by the driver, and if the range extender has additional electrical energy output, the excess electrical energy can be used to charge the vehicle's battery. This ensures the driving capability required by the driver while also charging the battery, thereby improving energy efficiency while enhancing the driving experience for vehicle users.

[0117] Vehicle usage types can include commuter and commercial types. Commuter vehicles have relatively stable starting and ending points, fixed routes, and stable start and end times. Commercial vehicles do not have stable starting and ending points, fixed routes, or stable start and end times.

[0118] In an exemplary embodiment, the step 131 described above, which determines the vehicle's target driving strategy from a pre-set driving strategy library based on the purpose type, driving environment type, and driving behavior type, can be specifically implemented by executing steps 311 and 312, wherein:

[0119] Step 311: When the usage type is operation type, determine the target driving strategy of the vehicle as pure electric drive or hybrid drive from the pre-set vehicle driving strategy library based on the driving environment type.

[0120] Step 312: When the purpose type is commuting, based on the driving environment type and driving behavior type, determine the vehicle's target driving strategy from the pre-set vehicle driving strategy library as one of pure electric drive, hybrid drive, and fuel drive.

[0121] For example, if the current use type of the vehicle is determined to be commercial, the determination of the target driving strategy suitable for the current vehicle can be based on the vehicle's driving environment type, determining whether the commercial vehicle is currently suitable for pure electric drive or hybrid drive.

[0122] For example, if the current use type of the vehicle is determined to be commuting, the determination of the target driving strategy suitable for the current vehicle can be based on the vehicle's driving environment type and the driver's driving behavior type, to determine whether the commuting vehicle is currently suitable for pure electric drive, hybrid drive, or fuel drive.

[0123] Regarding the acquisition of vehicle trip data, vehicle location data, and vehicle status data, this application provides an optional implementation method in which trip data is recorded according to each trip of the vehicle. An optional embodiment of the single trip data collection field provided by this application is shown in Table 1 below.

[0124] Table 1

[0125]

[0126] The inclusion of high and medium priorities for the trip data collection fields is merely one possible embodiment provided in this application, and is not intended to limit the application. The relevant data in Table 1 can be added, deleted, or modified based on requirements. Regarding the high and medium priorities for the trip data collection fields, one possible embodiment is that, for example, when the vehicle's data collection and processing capabilities are limited, the high-priority data in Table 1 can be collected and processed first, and then, if there is sufficient capacity, the medium-priority data in Table 1 can be collected and processed.

[0127] Different vehicle applications have significantly different requirements for the operating strategy of range extenders, which mainly depend on factors such as vehicle driving conditions, power requirements, fuel economy, and emission requirements.

[0128] The characteristics of commuter vehicles include frequent starts and stops, short-distance travel, and comfort. The requirements for range extenders in commuter vehicles include intelligent start-stop control and power smoothness optimization. Intelligent start-stop control means that the range extender can automatically shut down to reduce fuel consumption and noise emissions when the vehicle is idling or waiting at traffic lights; and when the vehicle needs to restart, the range extender can quickly respond and restore power. Power smoothness optimization refers to achieving smooth power output by precisely controlling the output power of the range extender and the discharge rate of the battery, reducing jerking and improving the passenger riding experience.

[0129] The characteristics of commercial vehicles such as ride-hailing vehicles and taxis include long-term operation, high mileage requirements, and rapid response. The requirements of commercial vehicles for range extenders include efficient operating modes, dynamic power distribution, and rapid response capabilities. Efficient operating modes refer to maintaining high thermal efficiency and power output efficiency under different operating conditions. Dynamic power distribution refers to dynamically adjusting the output power of the range extender and the discharge rate of the power battery according to the actual power demand of the vehicle and the state of charge (SOC) of the power battery. Rapid response capability means that the range extender should have a rapid response capability to meet the frequent acceleration and deceleration needs of taxis.

[0130] Regarding the identification and determination of vehicle usage types, this application provides an optional implementation method, which includes analyzing vehicle travel patterns. For example, commuter vehicles have relatively fixed daily routes and usage times, frequently traveling between urban commercial and residential areas during weekday morning and evening rush hours; ride-hailing vehicles or taxis, on the other hand, have irregular usage times and routes, travel for extended periods, and have a large average number of trips and average daily mileage. The K-Means clustering algorithm can be used to group vehicles with similar driving patterns into one category based on characteristics such as driving time, routes, stops, average daily mileage, and average daily driving duration, thereby inferring their usage purpose.

[0131] Different environments, such as cities, towns, and mountainous areas, have different requirements for range extenders. These requirements are mainly affected by factors such as road conditions, driving distance, distribution of charging facilities, and user habits.

[0132] Specifically, when the vehicle is driven in an urban environment, the characteristics are: relatively complete charging facilities in cities, but high vehicle usage frequency; the requirements for the range extender are: planned charging time and charging power for different operating conditions. When the vehicle is driven in a rural area, the characteristics are: relatively few charging facilities in rural areas; the requirements for the range extender are: more efficient operation to provide sufficient power support to the battery to ensure the vehicle can travel to the next charging point. When the vehicle is driven in a mountainous area, the characteristics are: steep roads and complex road conditions; the vehicle needs more power to cope with uphill driving and rapid acceleration; the requirements for the range extender are: high power output and continuous power supply.

[0133] Regarding the identification of vehicle driving environment types, this application provides an alternative implementation method: analysis can be performed on the type of vehicle parking location; the GPS point of the vehicle's trip end point is used to call a map interface to obtain the corresponding AOI ID; then, the AOI IDs are grouped and aggregated to calculate the most frequent AOI ID, and the address corresponding to the AOI ID is recorded, specifically including the address in the form of province, city, and district / county. The vehicle's driving environment can be identified through this address. After identifying the vehicle's driving environment, a tag is assigned to the corresponding vehicle, such as city, town, or mountainous area.

[0134] Regarding the identification of the driving behavior type of a vehicle driver, this application provides an alternative implementation method, which can utilize machine learning and data analysis techniques to identify and classify the user's driving behavior, such as mild driving, aggressive driving, and economical driving.

[0135] The characteristics of gentle driving include: gentle drivers typically maintain a moderate speed, avoiding frequent speeding or sudden acceleration; they operate smoothly during acceleration, deceleration, and cornering, avoiding sudden braking and sharp turns; and the engine is not frequently subjected to high load.

[0136] Aggressive driving is characterized by a preference for high speeds and frequent speeding. During driving, aggressive drivers will frequently change lanes, accelerate, and overtake.

[0137] Economic driving is characterized by a greater focus on cost savings, prioritizing the use of electricity over gasoline, enabling vehicles to travel longer distances while consuming less fuel.

[0138] For example, driving behavior recognition can be performed using a decision tree algorithm based on at least a portion of the data collected in Table 1.

[0139] Furthermore, regarding the range extender control method provided in this application, this application also provides an alternative implementation method, such as... Figure 2 As shown, the vehicle's intended use is first identified to determine if it is a commuter vehicle. If the intended use is identified as commercial (ride-hailing or taxi), the driving environment type, i.e., the commuting type, is further identified. If the commuting type is identified as non-urban (township or mountainous), a hybrid electric powertrain can be used. If the commuting type is identified as urban, a pure electric-first powertrain can be used. Furthermore, when a commercial vehicle is driving in urban areas, battery power is prioritized. When the battery level drops to a certain threshold (e.g., around 10%), the range extender activates to charge the battery and assist in driving. When a commercial vehicle is driving in non-urban areas, a hybrid electric powertrain is used. When the battery level drops to a certain threshold (e.g., around 40%), the range extender activates to charge the battery and assist in driving.

[0140] After identifying the vehicle's usage type, if it is determined to be commuting, the vehicle's driving environment type is further identified, i.e., the commuting type. If the commuting type is identified as urban, the driver's driving behavior type can be further identified to determine the driving behavior label. If the driving behavior label is determined to be economical, battery power can be used first. When the battery level drops to a certain threshold (e.g., around 10%), the range extender starts to charge the battery and assist in driving. If the driving behavior label is determined to be mild, a hybrid electric drive can be used. When the battery level drops to a certain threshold (e.g., around 20%), the range extender starts to charge the battery and assist in driving. If the driving behavior label is determined to be aggressive, fuel power can be used first. When the battery level drops to a certain level (e.g., below 40%), the range extender starts and prioritizes providing power to the vehicle, with the excess power used for charging.

[0141] After identifying the vehicle's usage type as commuting, the vehicle's driving environment type is further identified, i.e., the commuting type. If the commuting type is identified as non-urban (mountainous or rural), the driver's driving behavior type can be further identified to determine the driving behavior label. If the driving behavior label is determined to be economical, a hybrid electric drive can be used. When the battery level drops to a certain threshold (e.g., around 30%), the range extender starts to charge the battery and assist in driving. If the driving behavior label is determined to be mild, a hybrid electric drive can also be used. When the battery level drops to a certain threshold (e.g., around 40%), the range extender starts to charge the battery and assist in driving. If the driving behavior label is determined to be aggressive, fuel drive can be prioritized. When the battery level drops to a certain level (e.g., below 50%), the range extender starts and prioritizes providing power to the vehicle, with excess power used for charging.

[0142] It is evident that different driving strategies and range extender operating strategies can be applied to vehicles with different uses, driving environments, and driving behaviors. Different range extender operating strategies involve different battery pack charge levels and activation conditions. Furthermore, different range extender activation strategies can be developed for different driving behaviors; for example, for aggressive driving, early range extender activation can meet potentially high power demands; for economical driving, delayed range extender activation can fully utilize battery energy.

[0143] Furthermore, the range extender's output power can be dynamically adjusted based on real-time changes in driving behavior. For example, the range extender's power output can be increased instantaneously during rapid acceleration, while decreasing during smooth driving. Additionally, by combining vehicle battery charge, speed, load, and other status information with relevant driving data as input parameters for range extender control, more precise control can be achieved.

[0144] Based on the range extender control method provided in this application, energy utilization efficiency can be improved, vehicle range can be extended, vehicle power performance can be optimized, and power output that better meets the needs of drivers can be provided, wear and failure risk of the range extender can be reduced, and service life can be extended, thereby enhancing the user's driving experience and strengthening the market competitiveness of range-extended electric vehicles.

[0145] Based on the same inventive concept, this application also provides a control system for a range extender, the overall architecture of which can be shown in the figure below. Figure 3 As shown, the system includes a data acquisition unit, a vehicle usage identification unit, a commuting environment identification unit, a driving style identification unit, and a control decision unit. The data acquisition unit can collect data such as acceleration data, braking data, throttle data, steering data, following data, speed data, turning data, overtaking data, lane departure data, etc. The vehicle usage identification unit can identify whether a vehicle is a commuter vehicle or a ride-hailing vehicle based on data such as vehicle usage time, route, mileage, and duration, using a clustering algorithm. The commuting environment identification unit can identify whether the vehicle's driving environment is urban, mountainous, or rural based on GPS start and end points of the trip, using an AOI-type clustering algorithm. The driving style identification unit can identify the driver's driving behavior type based on vehicle speed, braking, and throttle data, using appropriate identification algorithms, resulting in mild driving, aggressive driving, and economical driving. The control decision unit includes input signal processing, power generation management, operating mode control, engine mode management, generator mode management, and output signal processing. Specifically, the control decision unit can formulate control commands for the range extender based on the analysis results and vehicle status; the control system of the range extender also includes an execution unit, which is responsible for executing the control commands and performing corresponding control operations on the range extender.

[0146] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0147] Based on the same inventive concept, this application also provides a range extender control device for implementing the range extender control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more range extender control device embodiments provided below can be found in the limitations of the range extender control method described above, and will not be repeated here.

[0148] In one exemplary embodiment, such as Figure 4 As shown, a range extender control device 40 is provided, including: a data acquisition module 41, a data processing module 42, a control strategy determination module 43, and a range extender control module 44, wherein:

[0149] The data acquisition module 41 is used to acquire the vehicle's current trip data, vehicle location data, and vehicle status data;

[0150] The data processing module 42 is used to determine the vehicle's purpose type based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined purpose types; and to determine the vehicle's driving environment type and the driver's driving behavior type based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types.

[0151] The control strategy determination module 43 is used to determine the corresponding target control strategy from a pre-set range extender control strategy library based on the purpose type, driving environment type and driving behavior type.

[0152] The range extender control module 44 is used to control the range extender based on the target control strategy.

[0153] In an exemplary embodiment, the control strategy determination module 43 is used to determine a corresponding target control strategy from a pre-set range extender control strategy library based on at least one of the usage type, driving environment type, and driving behavior type. Specifically, it can be used to: determine a target driving strategy for the vehicle from a pre-set driving strategy library based on at least one of the usage type, driving environment type, and driving behavior type, and drive the vehicle based on the target driving strategy; the target driving strategy includes pure electric drive, hybrid electric drive, and fuel drive; and determine the corresponding target control strategy from the pre-set range extender control strategy library based on the target driving strategy.

[0154] In an exemplary embodiment, the range extender control module 44 is further configured to obtain a preset power threshold corresponding to the target control strategy, and control the vehicle's range extender to start when the vehicle's battery power is less than the preset power threshold.

[0155] In an exemplary embodiment, the range extender control module 44 is further configured to, when determining that the target driving strategy of the vehicle is pure electric drive or hybrid drive, charge the vehicle's battery based on the started range extender, and / or supply power to the vehicle's drive motor based on the started range extender.

[0156] In an exemplary embodiment, the range extender control module 44 is further configured to supply power to the vehicle's drive motor based on the activated range extender when the target driving strategy of the vehicle is determined to be fuel-driven.

[0157] In an exemplary embodiment, the range extender control module 44 is further configured to charge the vehicle's battery with a portion of the electrical energy output from the range extender, provided that a portion of the electrical energy meets the power supply requirements of the vehicle's drive motor.

[0158] In an exemplary embodiment, the usage type includes commuting type and operational type; the control strategy determination module 43 is used to determine the target driving strategy of the vehicle from a preset driving strategy library based on the usage type, and at least one of driving environment type and driving behavior type, specifically: when the usage type is operational type, the target driving strategy of the vehicle is determined to be pure electric drive or hybrid drive based on the driving environment type from the preset vehicle driving strategy library; when the usage type is commuting type, the target driving strategy of the vehicle is determined to be one of pure electric drive, hybrid drive and fuel drive based on the driving environment type and driving behavior type from the preset vehicle driving strategy library.

[0159] Each module in the aforementioned range extender control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the vehicle-side control device in hardware form or independent of it, or stored in the memory of the vehicle-side control device in software form, so that the processor can call and execute the corresponding operations of each module.

[0160] Figure 5 This is an internal structural diagram of a vehicle-side control device in one embodiment. In an exemplary embodiment, a vehicle-side control device is provided, and the internal structural diagram of this vehicle-side control device can be as follows: Figure 5 As shown, the vehicle-mounted control device includes a processor and a memory. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium storing a computer program. When executed by the processor, the computer program implements a range extender control method.

[0161] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the vehicle-side control device to which the present application is applied. The specific vehicle-side control device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0162] Based on the same inventive concept, this application also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the aforementioned range extender control method. The range extender control method is any of the range extender control methods mentioned in the embodiments of this application. For related embodiments, please refer to the above.

[0163] Based on the same inventive concept, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned range extender control method. The range extender control method is any of the range extender control methods mentioned in the embodiments of this application, and related embodiments can be found above.

[0164] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0165] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0166] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0167] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A range extender control method, characterized in that, The method includes: Obtain the vehicle's current trip data, vehicle location data, and vehicle status data; Based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined use types, the vehicle's use type is determined; and based on the vehicle's location data and vehicle status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types, the vehicle's driving environment type and the driver's driving behavior type are determined. Based on the application type, and at least one of the driving environment type and the driving behavior type, a corresponding target control strategy is determined from a pre-set range extender control strategy library; The range extender is controlled based on the target control strategy.

2. The method according to claim 1, characterized in that, The step of determining a corresponding target control strategy from a pre-set range extender control strategy library based on at least one of the usage type, the driving environment type, and the driving behavior type includes: Based on the intended use type, and at least one of the driving environment type and the driving behavior type, a target driving strategy for the vehicle is determined from a pre-set driving strategy library, and the vehicle is driven based on the target driving strategy; the target driving strategy includes pure electric drive, hybrid electric drive, and fuel-powered drive. Based on the target-driven strategy, the corresponding target control strategy is determined from the pre-set range extender control strategy library.

3. The method according to claim 2, characterized in that, Also includes: Obtain the preset power threshold corresponding to the target control strategy, and control the vehicle's range extender to start when the vehicle's battery power is less than the preset power threshold.

4. The method according to claim 3, characterized in that, Also includes: When the target driving strategy of the vehicle is determined to be pure electric drive or hybrid drive, the vehicle's battery is charged based on the range extender after startup, and / or the vehicle's drive motor is powered based on the range extender after startup.

5. The method according to claim 3, characterized in that, Also includes: When the target drive strategy of the vehicle is determined to be fuel-driven, power is supplied to the vehicle's drive motor based on the range extender after startup.

6. The method according to claim 5, characterized in that, Also includes: While a portion of the electrical energy output by the range extender meets the power supply requirements of the vehicle's drive motor, another portion of the electrical energy charges the vehicle's battery.

7. The method according to claim 2, characterized in that, The usage types include commuter type and operational type; The step of determining the target driving strategy for the vehicle from a pre-set driving strategy library based on at least one of the usage type, the driving environment type, and the driving behavior type includes: When the usage type is the operational type, the target driving strategy of the vehicle is determined from the preset vehicle driving strategy library based on the driving environment type as either pure electric drive or hybrid drive. When the usage type is the commuting type, based on the driving environment type and the driving behavior type, the target driving strategy of the vehicle is determined from a preset vehicle driving strategy library to be one of the pure electric drive, the hybrid drive, and the fuel drive.

8. A range extender control device, characterized in that, The device includes: The data acquisition module is used to acquire the vehicle's current trip data, vehicle location data, and vehicle status data; The data processing module is used to determine the vehicle's purpose type based on the current trip data and the vehicle's historical trip data, as well as the feature information corresponding to different pre-determined purpose types; and to determine the vehicle's driving environment type and the driver's driving behavior type based on the vehicle's location data and the vehicle's status data, as well as the feature information corresponding to different pre-determined environment types and driving behavior types. The control strategy determination module is used to determine a corresponding target control strategy from a pre-set range extender control strategy library based on the purpose type, the driving environment type, and the driving behavior type. The range extender control module is used to control the range extender based on the target control strategy.

9. A vehicle-end control device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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