A vehicle control method, system, device, vehicle, medium and product

Abstract

The embodiment of the present application provides a vehicle control method, system, device, vehicle, medium and product, the method comprises: in response to a target driving scene being triggered, determining a target energy control strategy according to the current state of charge of the vehicle; according to the target energy control strategy, the vehicle is controlled to be powered. Through the embodiment of the present application, different strategies are adopted for the vehicle power supply control according to the driving scene and the state of charge, the energy consumption of the vehicle is reduced, and the efficiency and intelligent degree of the power supply control are improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a vehicle control method, system, device, vehicle, medium, and product. Background Technology

[0002] With the increasing popularity of electric and hybrid vehicles, the electrification level of vehicles is constantly improving. Traditional power distribution solutions have many shortcomings, resulting in high energy consumption and failing to meet the vehicle's demand for efficient and intelligent power supply control. Summary of the Invention

[0003] In view of the above problems, a vehicle control method, system, device, vehicle, medium, and product are proposed to overcome or at least partially solve the above problems, including:

[0004] A method for vehicle control, the method comprising:

[0005] In response to the triggering of a target driving scenario, a target energy control strategy is determined based on the vehicle's current state of charge.

[0006] The vehicle is powered according to the target energy control strategy.

[0007] Optionally, determining the target energy control strategy based on the vehicle's current state of charge includes:

[0008] If the value of the current state of charge is within a first preset range, the target energy control strategy is determined to be the first target energy control strategy.

[0009] Optionally, determining the target energy control strategy based on the vehicle's current state of charge includes:

[0010] If the value of the current state of charge is within the second preset range, the target energy control strategy is determined to be the second target energy control strategy.

[0011] The energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different.

[0012] Optionally, the energy consumption corresponding to the first target energy control strategy and the second target energy control strategy are different, including:

[0013] At least one vehicle function has different energy consumption under the first target energy control strategy and the second target energy control strategy.

[0014] Optionally, before performing power supply control on the vehicle according to the target energy control strategy, the following steps are included:

[0015] When multiple target driving scenarios are triggered, multiple control contents for the same vehicle function are determined from the target energy control strategies of the multiple target driving scenarios.

[0016] From multiple control contents targeting the same vehicle function, a target control content is determined, and the target energy control strategy is updated based on the target control content.

[0017] Optionally, the energy consumption of different control contents of the same vehicle function may vary.

[0018] Optionally, determining the target control content from multiple control contents targeting the same vehicle function includes:

[0019] Determine the priority of multiple control functions for the same vehicle function;

[0020] Based on the aforementioned priority, the target control content is determined from multiple control contents targeting the same vehicle function.

[0021] Optionally, determining the priority of multiple control contents for the same vehicle function includes:

[0022] Determine the functional category of the same in-vehicle function corresponding to the multiple target driving scenarios;

[0023] Based on the function category, the priority of multiple control contents for the same vehicle function is determined.

[0024] Optionally, determining the target control content from multiple control contents targeting the same vehicle function based on the priority includes:

[0025] The control content with the highest priority among the multiple control contents is determined as the target control content.

[0026] Optionally, the functional categories include any of the following: safety system category, power system category, comfort system category, and energy-saving system category.

[0027] Optionally, the vehicle is equipped with multiple load devices, each with a corresponding driver chip. The step of controlling the power supply to the vehicle according to the target energy control strategy includes:

[0028] According to the target energy control strategy, control commands are generated and sent to the corresponding driver chip to control the power supply of the corresponding load device.

[0029] Optionally, generating control commands according to the target energy control strategy includes:

[0030] Determine one or more in-vehicle functions corresponding to the target energy control strategy;

[0031] Determine the load device corresponding to the one or more vehicle-mounted functions;

[0032] Based on the target energy control strategy, control commands are generated for the load device.

[0033] Optionally, the driving scenario includes a custom scenario, and before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, the method further includes:

[0034] Obtain control information for one or more in-vehicle functions input by the user;

[0035] Based on the control information, an energy control strategy for the custom scenario is generated.

[0036] Optionally, it also includes:

[0037] Upload the energy control strategy for the customized scenario to the cloud server;

[0038] The system obtains the strategy execution data of the energy control strategy for the custom scenario and uploads it to the cloud server so that the cloud server can generate updated data of the energy control strategy for the custom scenario based on the strategy execution data.

[0039] The system receives updated data from the cloud server and uses this updated data to update the energy control strategy for the custom scenario.

[0040] Optionally, each driving scenario is configured with triggering conditions, and before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, the method further includes:

[0041] Obtain the current vehicle status and / or the current environment status;

[0042] When the current vehicle state and / or the current environment state are detected to meet the triggering conditions of the target driving scenario, it is determined that the target driving scenario is triggered.

[0043] A vehicle control system, comprising:

[0044] Multiple load devices, each with a corresponding driver chip;

[0045] The controller is used to determine a target energy control strategy based on the current state of charge of the vehicle in response to the triggering of a target driving scenario, and to generate control commands based on the target energy control strategy.

[0046] A driver chip is used to control the power supply to a corresponding load device in response to control commands. An electronic device includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method described above.

[0047] A vehicle includes either the vehicle control system described above or the electronic equipment described above.

[0048] A computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the method described above.

[0049] A computer program product includes a computer program that, when executed by a processor, implements the method described above.

[0050] The embodiments of the present invention have the following advantages:

[0051] In this embodiment of the invention, in response to the triggering of a target driving scenario, a target energy control strategy is determined based on the current state of charge of the vehicle, and power supply control is performed on the vehicle according to the target energy control strategy. This realizes the use of different strategies to control the power supply of the vehicle according to the driving scenario and the state of charge, thereby reducing the energy consumption of the vehicle and improving the efficiency and intelligence of power supply control. Attached Figure Description

[0052] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the present invention will be briefly introduced below. Obviously, the accompanying 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.

[0053] Figure 1 This is a schematic diagram of a system architecture provided by some embodiments of the present invention;

[0054] Figure 2 This is a schematic diagram illustrating the deployment process of an energy control strategy provided in some embodiments of the present invention;

[0055] Figure 3 This is a schematic diagram of a multi-driving scenario processing procedure provided by some embodiments of the present invention;

[0056] Figure 4 This is a flowchart of the steps of a vehicle control method provided in some embodiments of the present invention;

[0057] Figure 5 This is a flowchart of another vehicle control method provided in some embodiments of the present invention. Detailed Implementation

[0058] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0059] Among related technologies, there are some intelligent power distribution solutions, such as on-demand power distribution, data recording to the cloud, and multi-level energy allocation. However, the energy control strategies of these solutions are usually fixed, which limits the flexibility of the system and the user experience.

[0060] In this embodiment of the invention, by using solutions such as customized scenario analysis, dynamic energy control strategies, enhanced data recording and analysis, and multi-scenario priority processing, the system's flexibility and user experience can be significantly improved, meeting diverse vehicle usage needs. This not only improves vehicle energy efficiency and extends battery life but also enhances user satisfaction and comfort.

[0061] Specifically, this invention automatically generates corresponding energy control strategies for different types of load devices by using preset judgment conditions and execution logic for vehicle usage scenarios. Whether in a fixed or custom scenario, the energy control strategies for various load devices are automatically adjusted based on current usage conditions and preset logic, ensuring efficient utilization of battery resources and stable system operation. This reduces the user's customization burden while improving energy management efficiency and user experience.

[0062] like Figure 1 For some load devices (such as headlights, rearview mirror adjustment motors, temperature sensors, etc.), a separate driver chip is provided for power supply control, making the power supply more precise.

[0063] By setting up the driver chip, scene reconstruction can be achieved by adjusting the energy control strategy of the corresponding load device in different driving scenarios. Even in the same scenario, if the power supply logic of a certain load device needs to be changed (such as adjusting the brightness of the headlights or changing the running speed of the motor), only the power supply logic of that load device needs to be changed (targeted modification).

[0064] Each load device's driver chip is treated as an independent service and registered in the vehicle's central controller, achieving hardware and software decoupling of the power supply hardware and software. This can be considered a low-cost SOA solution. Other system components (such as ADAS (Advanced Driver Assistance Systems) modules, infotainment systems, etc.) can dynamically find and call these services through the service discovery mechanism, laying the hardware foundation for the rapid iteration of SOA (Service-Oriented Architecture) service-oriented software.

[0065] Specifically, the control system decouples the vehicle's preset functions from hardware based on an SOA architecture, thereby constructing service layer software and application layer software. Based on the application and service layer software, it provides users with a user interface for customizing and editing scenarios. Users can personalize the interface according to their needs, including setting scenario functions and corresponding scenario parameters. Once the settings are complete, the control system stores the user-defined scenarios, thus forming the corresponding driving scenarios.

[0066] Furthermore, by setting up a driver chip, the power supply logic is allowed to be updated online in the cloud (OTA), which meets the need for rapid OTA (Over-the-Air Technology) updates, maintains the real-time performance of the power distribution strategy, and improves the flexibility and reliability of the system.

[0067] Specifically, the central control system can communicate with the cloud server based on the MQTT (Message Queuing Telemetry Transport) protocol. The cloud server is primarily responsible for the data security of preset scenarios, ensuring that the preset scenarios are not tampered with during transmission and storage, and generating energy control strategies based on vehicle status information uploaded by the SoC. The cloud server converts the energy control strategies into specific current control signals and stores them in the vehicle's memory via OTA or pre-storage, precisely controlling the power output of each load device.

[0068] In this embodiment of the invention, by setting up a driver chip, the system has the advantages of precise power supply, flexibility and scalability, hardware and software decoupling, and fast OTA updates, thereby reducing hardware and maintenance costs and improving the overall energy efficiency and user experience of the system.

[0069] like Figure 1The control system includes a central control system, area controllers, a central computing platform, a central power distribution unit, and secondary power distribution units. The area controllers are implemented through the central power distribution unit and the central computing platform built with MCUs (Microcontroller Units) and SoCs (System on Chips). The power distribution equipment based on the electronic and electrical architecture includes a main power supply, a central power distribution unit, and secondary power distribution units. These units enable refined energy management of the vehicle's various load devices. The main power supply is connected to the central power distribution unit, which in turn is connected to multiple secondary power distribution units. The central power distribution unit independently controls each power distribution circuit, performing intelligent power distribution and disconnection as needed to achieve localized power distribution, reduce wiring detours, and meet the power distribution requirements of intelligent driving, thus achieving redundant power distribution.

[0070] For different driving scenarios, the system will obtain the energy control strategy based on the scenario source, such as a preset scenario or a new custom scenario. When the custom scenario changes, the system will evaluate the degree of difference between the newly generated energy control strategy and the current strategy. If the difference is significant, the system will determine whether an update is needed. If an OTA update is required, it will be performed via OTA.

[0071] Through this scenario-specific energy control strategy, the onboard control system (such as the SoC) and driver chip translate the energy control strategy into specific current control signals to precisely control the power output of each load. The system monitors the vehicle and load status in real time, evaluates the vehicle status, load status, and user feedback, and optimizes function classification, priority, and power allocation to ensure safety and comfort.

[0072] In practical applications, multiple driving scenarios may need to be addressed simultaneously to ensure a smooth user experience under various driving conditions. Therefore, energy control strategies should be further expanded to effectively handle situations where multiple scenarios occur concurrently, thereby enhancing the overall user experience.

[0073] Specifically, by setting a function, the system can flexibly switch between safety, performance, comfort, and entertainment categories based on actual needs in different scenarios. When multiple scenarios are activated simultaneously, the system will select the highest priority category according to preset priorities and dynamically adjust power distribution to ensure safety and comfort. This dynamic adjustment mechanism ensures that the vehicle can provide optimal safety, performance, comfort, and energy efficiency in various scenarios. The system achieves intelligent energy management and load allocation through real-time data collection, scenario recognition, and priority application.

[0074] In this embodiment of the invention, by dynamically adjusting and optimizing energy distribution, not only is vehicle safety enhanced and energy efficiency improved, but the user's driving experience is also improved. Furthermore, its intelligent and adaptive characteristics enable it to better cope with various complex driving environments and meet the personalized needs of users, demonstrating significant advantages in terms of safety, energy efficiency, user experience, and intelligence.

[0075] The present invention will be further described below:

[0076] Reference Figure 4 The diagram illustrates a flowchart of a vehicle control method according to some embodiments of the present invention, which may specifically include the following steps:

[0077] Step 401: In response to the target driving scenario being triggered, determine the target energy control strategy based on the vehicle's current state of charge.

[0078] In some examples, energy control strategies are used to control the power supply to load devices in the vehicle, such as whether the windows are open or closed, whether the windshield wipers are on or off, and how much the air conditioning is on.

[0079] In practical applications, multiple driving scenarios can be pre-configured, and multiple energy control strategies can be set for each scenario. These strategies can correspond to different states of charge (SOC). When a target driving scenario is detected as being triggered, the vehicle's current SOC can be obtained. Based on the vehicle's current SOC, the appropriate target energy control strategy can be selected for power supply control, thus achieving tiered energy control of the vehicle.

[0080] Step 402: Perform power supply control on the vehicle according to the target energy control strategy.

[0081] In this embodiment of the invention, in response to the triggering of a target driving scenario, a target energy control strategy is determined based on the current state of charge of the vehicle, and power supply control is performed on the vehicle according to the target energy control strategy. This realizes the use of different strategies to control the power supply of the vehicle according to the driving scenario and the state of charge, thereby reducing the energy consumption of the vehicle and improving the efficiency and intelligence of power supply control.

[0082] In some embodiments of the present invention, determining the target energy control strategy based on the current state of charge of the vehicle includes: if the value of the current state of charge is within a first preset range, determining the target energy control strategy as a first target energy control strategy.

[0083] In some embodiments of the present invention, determining the target energy control strategy based on the current state of charge of the vehicle includes: if the value of the current state of charge is within a second preset range, determining the target energy control strategy as a second target energy control strategy; the energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different.

[0084] In some embodiments of the present invention, the energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different, including: at least one vehicle function has different energy consumption corresponding to the first target energy control strategy and the second target energy control strategy.

[0085] For example, the range of the state of charge value includes SOC less than 10%, SOC greater than or equal to 10% and less than 45%, SOC greater than or equal to 45% and less than 70%, and SOC greater than or equal to 70%. The first preset range and the second preset range can be two different ranges.

[0086] For each driving scenario, there are multiple energy control strategies, each with different energy consumption. Each energy control strategy is set with a corresponding state of charge range, which enables the vehicle to match different energy consumption energy control strategies to different states of charge, achieving refined energy management of the vehicle. This not only takes into account the changes in driving scenarios but also fully integrates the vehicle's real-time state of charge, thereby ensuring the optimal configuration of energy use.

[0087] For example, at high speeds, a vehicle's air resistance increases, requiring more energy to maintain speed; while in urban commuting, frequent starts and stops can lead to frequent energy consumption and recovery. Therefore, choosing the appropriate energy control strategy based on different driving scenarios is crucial.

[0088] Meanwhile, the vehicle's state of charge (SBC) is also an important factor influencing the choice of energy control strategy. When the vehicle has a sufficient charge, a slightly more energy-intensive but higher-performance energy control strategy can be chosen, such as enabling more in-vehicle functions or increasing power output; while when the charge is low, a more energy-efficient energy control strategy needs to be chosen to extend the vehicle's driving range.

[0089] After obtaining the current state of charge, the range of the current state of charge value can be determined, and then the target energy control strategy can be selected based on the range of the current state of charge value.

[0090] As shown in Table 1, in the driving scenario of "rainy day mode", the energy control strategy is divided into four categories based on the range of the state of charge (SOC) value: SOC less than 10%, SOC greater than or equal to 10% and less than 45%, SOC greater than or equal to 45% and less than 70%, and SOC greater than or equal to 70%.

[0091]

[0092] Table 1

[0093] It should be noted that Table 1 includes two energy control strategies: "Rainy Day Mode" and normal driving mode. The content in parentheses () is the energy control strategy for normal driving mode.

[0094] In some embodiments of the present invention, before power supply control of the vehicle according to the target energy control strategy, the method includes: when multiple target driving scenarios are triggered, determining multiple control contents for the same vehicle function from the target energy control strategies of the multiple target driving scenarios; determining target control content from the multiple control contents for the same vehicle function; and updating the target energy control strategy according to the target control content.

[0095] The energy consumption varies for different control functions within the same vehicle-mounted system.

[0096] In the same time period, multiple target driving scenarios may be triggered. Therefore, the target energy control strategy can be determined from the multiple energy control strategies corresponding to each target driving scenario based on the current state of charge, thus obtaining multiple target energy control strategies.

[0097] For multiple target energy control strategies, it can be determined whether at least two target energy control strategies contain control content for the same vehicle function. If no control content for the same vehicle function exists, multiple target energy control strategies for multiple target driving scenarios can be applied simultaneously.

[0098] If there are multiple control contents for the same vehicle function that conflict with each other, then one of the multiple control contents for the same vehicle function can be selected as the target control content, and then that target control content can be used as the strategy to be applied for subsequent control.

[0099] The above method enables coordinated handling of conflicting control content across multiple target driving scenarios, avoiding power supply control chaos caused by conflicting control content.

[0100] In some embodiments of the present invention, determining a target control content from multiple control contents for the same vehicle function includes: determining the priority of multiple control contents for the same vehicle function; and determining the target control content from multiple control contents for the same vehicle function according to the priority.

[0101] In different driving scenarios, multiple control contents for the same vehicle function are set with corresponding priorities. Then, according to the priority, the control contents with higher priority can be selected from the conflicting control contents for power supply control.

[0102] In some embodiments of the present invention, determining the priority of multiple control contents for the same vehicle function includes: determining the function category of the same vehicle function corresponding to the multiple target driving scenarios; and determining the priority of multiple control contents for the same vehicle function according to the function category.

[0103] In some examples, the functional categories include any of the following: safety systems, powertrain systems, comfort systems, and energy-saving systems. In some examples, the safety systems category has a higher priority than the powertrain systems category, which in turn has a higher priority than the comfort systems category, which in turn has a higher priority than the energy-saving systems category.

[0104] In some embodiments of the present invention, determining the target control content from multiple control contents for the same vehicle function according to the priority includes: determining the control content with the highest priority among the multiple control contents as the target control content.

[0105] In different driving scenarios, the function category of the same in-vehicle function may be different. For example, in some driving modes, the in-vehicle function is controlled for comfort, while in other driving scenarios, the in-vehicle function is controlled for safety. The corresponding priority can be determined according to the function category, and then the control content with the highest priority can be selected as the target control content for power supply control.

[0106] For example, in a certain driving scenario (such as normal driving mode), there is an energy control sub-strategy for the wiper function that is to turn off the wipers, and the function category is comfort system. In the "rainy day mode", there is also an energy control sub-strategy for the wiper function that is to turn on the wipers, and the function category is safety system. The safety system category has higher priority than the comfort system category. When both driving scenarios are triggered, the energy control sub-strategy of the higher priority "rainy day mode" is selected, that is, the wipers are turned on.

[0107] By defining the functional categories of in-vehicle functions, prioritizing them based on these categories, and then selecting target control content according to these priorities, the system achieves coordinated handling of conflicting control content across multiple target driving scenarios, ensuring vehicle safety and comfort in various driving situations. Furthermore, prioritizing control content based on functional categories makes energy management more intelligent and refined, further enhancing the user's driving experience.

[0108] The following combination Figure 3 The processing procedures for multiple driving scenarios are illustrated with examples:

[0109] S301: Comprehensively analyzes various environmental conditions of the vehicle to generate comprehensive vehicle environmental information.

[0110] In practical applications, by extracting preset environmental trigger conditions within a scenario and collecting comprehensive current vehicle status information through various sensors (such as rain sensors, temperature sensors, and battery SOC sensors) and vehicle network data (such as CAN bus data), the system can identify and determine all relevant environmental information currently active (such as rainy weather, high temperature weather, and low battery status). Finally, by comprehensively analyzing information from multiple scenarios, a detailed vehicle environmental information report is generated, including weather conditions, battery status, vehicle speed, and geographical location.

[0111] S302: Based on the current vehicle environment information, dynamically adjust the classification of vehicle functions and adjust the priority of functions based on classification priority.

[0112] In practical applications, each function is reclassified based on current vehicle environment information (such as safety system category, powertrain system category, comfort system category, and energy-saving system category) to clarify its classification in the current driving scenario. For example, headlights are considered a safety system when driving at night in inclement weather, and a comfort system when driving during the day in good weather.

[0113] S303: Based on the functional classification and priority adjustment results, formulate the final energy control strategy.

[0114] In practical applications, functional priorities can be determined based on functional categories, such as safety system > power system > comfort system > energy-saving system. When multiple scenarios are activated simultaneously, the system will select the category with the highest priority according to the preset priority.

[0115] S304: The final energy control strategy is implemented through the driver chip, ensuring that each function is executed according to the predetermined priority and power allocation.

[0116] In practical applications, the energy control strategy is translated into specific current control signals through the vehicle control system (such as a SoC) and driver chip, precisely controlling the power output of each load. In some examples, the actual power consumption and system status of each load are continuously monitored to ensure that energy distribution meets expectations. Furthermore, the power distribution scheme is adjusted in real time based on actual operating conditions to ensure system stability and efficiency.

[0117] Take the "Rainy Day Mode" as an example:

[0118] The user-defined "Rainy Day Mode" is triggered when rainfall is detected to be present, and the following actions are executed: 1. Turn on the windshield wipers; 2. Close all windows; 3. Adjust the air conditioning to recirculation mode; 4. Reduce air conditioning power; 5. Decrease multimedia volume. Specifically, the system re-analyzes and adjusts the energy control strategy based on the current "Rainy Day Mode" and normal driving conditions.

[0119] Because the strategy differs from normal driving conditions, it is determined that the energy control strategy needs to be adjusted:

[0120] Scenario Differences: The functional requirements of the current scenario (e.g., "Rainy Day Mode") differ significantly from those of normal driving. Priority Changes: The priority of functions is adjusted according to changes in the scenario (e.g., windshield wipers change from comfort to safety). Energy Consumption Optimization Requirements: Optimize energy use while meeting functional requirements (e.g., reduce air conditioning power).

[0121] The optimized energy control strategy is as follows:

[0122] The windshield wipers have been transformed from a comfort system to a safety system, ensuring real-time response to rainfall intensity and providing optimal visibility without power limitations; closing the windows is a simple logical operation, so power is not limited and is kept high priority to prevent rainwater from entering the vehicle; the air conditioning, having switched to recirculation mode, can appropriately reduce power to save energy while maintaining in-car comfort; the multimedia volume is appropriately reduced to decrease power consumption, but basic entertainment functions are still maintained.

[0123] Taking the "long-distance energy-saving mode" as an example:

[0124] The user-defined scenario "Long-Distance Energy-Saving Mode" is triggered when the vehicle travels more than 100 kilometers, maintains an average speed above 80 km / h, and experiences no significant changes in the external environment (e.g., no strong winds or rain). This mode is primarily designed for long-distance, high-speed driving and requires the following actions: 1. Reduce electric motor power output; 2. Reduce air conditioning power; 3. Close windows; 4. Activate automatic headlights; 5. Decrease multimedia volume. The system re-analyzes and adjusts the energy control strategy based on the current "Long-Distance Energy-Saving Mode" and normal driving conditions.

[0125] Because the strategy differs from normal driving conditions, the system determines that the energy control strategy needs to be changed.

[0126] The optimized energy control strategy is as follows:

[0127] The electric motor power is transferred from the "Powertrain System" to the "Energy Saving System." During high-speed cruising, the system reduces unnecessary acceleration and electric motor load, optimizing battery consumption by lowering power. The air conditioning system is transferred from the "Comfort System" to the "Energy Saving System," appropriately reducing power or turning it off to minimize energy waste while maintaining basic comfort inside the vehicle. The opening degree of the windows and sunroof is automatically adjusted, transferring from the "Comfort System" to the "Energy Saving System." The system reduces window opening to lower wind resistance, further optimizing vehicle energy efficiency. The exterior lighting function is transferred from the "Comfort System" to the "Energy Saving System." When external lighting conditions are sufficient, the power of the exterior lights automatically decreases, reducing unnecessary power consumption. The entertainment system is transferred from the "Comfort System" to the "Energy Saving System," automatically adjusting volume, screen brightness, and information update frequency to reduce power consumption and ensure basic entertainment and navigation needs during long-distance driving.

[0128] In some embodiments of the present invention, the vehicle is equipped with a variety of load devices, each load device having a corresponding drive chip. According to the target energy control strategy, the vehicle is powered and controlled, including: generating a control command according to the target energy control strategy and sending the control command to the corresponding drive chip, so as to control the power supply of the corresponding load device through the drive chip.

[0129] In some examples, the load devices can be electrical devices in the vehicle, such as headlights, rearview mirror adjustment motors, temperature sensors, etc. The driver chip can be connected to each load device individually or to some load devices, thereby enabling precise control of each load device.

[0130] By assigning specific driver chips to the load devices and controlling their power supply, the system achieves refined management of each load device in the vehicle, improving energy efficiency and overall vehicle performance. In practical applications, the system can monitor the operating status and energy consumption of each load device in real time, dynamically adjusting the power supply strategy according to the target energy control strategy to ensure that each device operates at an appropriate power level, thus meeting functional requirements while optimizing energy use.

[0131] Furthermore, by establishing a connection between the driver chip and the load device, fault detection and diagnosis of the load device can be achieved. When a load device malfunctions, the driver chip can quickly detect the anomaly and feed the fault information back to the control system, allowing for timely repair or replacement, thus avoiding energy waste and safety hazards caused by equipment failure.

[0132] In some embodiments of the present invention, generating control instructions according to the target energy control strategy includes: determining one or more vehicle functions corresponding to the target energy control strategy; determining load devices corresponding to the one or more vehicle functions; and generating control instructions for the load devices according to the target energy control strategy.

[0133] For each energy control strategy, there are control contents for one or more in-vehicle functions. As shown in Table 1, when the driving scenario is "rainy day mode", each energy control strategy has control contents for four in-vehicle functions: windows, wipers, air conditioning, and multimedia.

[0134] For each vehicle function, there are one or more corresponding load devices. For example, the wiper function has one load device, which is the wiper controller, and the multimedia function has multiple load devices such as the vehicle screen and speakers. Then, we can first determine one or more vehicle functions corresponding to the target energy control strategy, and then determine the load device corresponding to each vehicle function. Then, we can generate control commands for the load devices, and then realize the power supply control of the load devices in the vehicle.

[0135] In some embodiments of the present invention, each driving scenario is provided with triggering conditions. Before determining the target energy control strategy based on the current state of charge of the vehicle in response to the triggering of the target driving scenario, the method further includes: acquiring the current vehicle state and / or the current environmental state; and determining that the target driving scenario is triggered when it is detected that the current vehicle state and / or the current environmental state meet the triggering conditions of the target driving scenario.

[0136] In practical applications, the current vehicle status can be collected through various sensors (such as rain sensors, temperature sensors, battery SOC sensors, etc.) and vehicle network data (such as CAN bus data), and the current environmental status (such as rainy days, hot weather, geographical location, etc.) can also be collected.

[0137] After obtaining the current vehicle status and the current environment status, it is possible to detect whether the current vehicle status, or the current environment status, or the current vehicle status and the current environment status meet the triggering conditions of a certain driving scenario. When the triggering conditions of a certain driving scenario are met, it is determined that the driving scenario has been triggered.

[0138] In some examples, driving scenarios include preset scenarios and custom scenarios. Preset scenarios are driving scenarios that are set by default by the in-vehicle system, while custom scenarios are driving scenarios that are set by the user.

[0139] In some embodiments of the present invention, before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of a target driving scenario, the method further includes:

[0140] Obtain control information for one or more in-vehicle functions input by the user; generate an energy control strategy for the customized scenario based on the control information.

[0141] In practical applications, an interactive interface can be provided to users, who can then create custom scenarios, such as a "rainy day mode".

[0142] After creating a custom scenario, you can set trigger conditions for that scenario. For example, you can set the trigger condition for "Rainy Day Mode" to be: when the rainfall is detected to be not in a rainless state. You can also set one or more in-vehicle functions for the custom scenario. For example, you can input the in-vehicle functions for "Rainy Day Mode" to include wipers, windows, air conditioning, and multimedia, and set the control information for the in-vehicle functions, such as the actions to be performed: 1. Turn on the wipers; 2. Close all windows; 3. Adjust the air conditioning to recirculation mode; 4. Reduce the air conditioning power; 5. Decrease the multimedia volume.

[0143] After obtaining control information for one or more vehicle functions, multiple energy control strategies for a custom scenario can be generated based on the control information of one or more vehicle functions.

[0144] In some examples, multiple energy control strategy sets correspond to multiple states of charge, and each energy control strategy includes control content corresponding to multiple on-board functions.

[0145] By allowing users to create custom scenarios and set energy control strategies for those scenarios, a deep customization of the user's personalized driving experience is achieved. Users can not only set specific driving scenarios and their triggering conditions according to their own driving habits and preferences, but also finely adjust the behavior of each in-vehicle function in specific scenarios, thereby ensuring that the vehicle can provide optimal performance and comfort under any circumstances.

[0146] In some embodiments of the present invention, it further includes:

[0147] Upload the energy control strategy for the customized scenario to the cloud server;

[0148] The system obtains the strategy execution data of the energy control strategy for the custom scenario and uploads it to the cloud server so that the cloud server can generate updated data of the energy control strategy for the custom scenario based on the strategy execution data.

[0149] The system receives updated data from the cloud server and uses this updated data to update the energy control strategy for the custom scenario.

[0150] In practical applications, a set of energy control strategies for customized scenarios can be uploaded to a cloud server to ensure data security and prevent tampering during transmission and storage.

[0151] During the use of custom scenarios, strategy execution data can be obtained, such as real-time monitoring of vehicle status (e.g., battery SOC, temperature, load, etc.) and actuator feedback information, current detection data of drive chips, etc., and the strategy execution data can be uploaded to the cloud server.

[0152] After obtaining the strategy execution data, the cloud server can evaluate whether the current energy control strategy meets the requirements, such as whether it meets the safety, comfort and energy efficiency targets. Based on the evaluation results, it can optimize the energy control strategy for the custom scenario and send updated data to the vehicle terminal.

[0153] By updating the energy control strategy for customized scenarios based on strategy execution data via a cloud server, dynamic optimization and improvement of the strategy are achieved, ensuring the efficiency and performance of vehicle energy use under different driving scenarios. In practical applications, the cloud server can utilize big data and machine learning technologies to perform in-depth analysis of strategy execution data, uncover potential problems and areas for improvement, thereby generating more accurate and efficient energy control strategy update data.

[0154] The following combination Figure 2 An example illustration of the energy control strategy deployment process is provided below:

[0155] S201: User selects or customizes the scenario.

[0156] In practical applications, users can select a preset scene through the interactive interface, or they can create a new custom scene through the interactive interface.

[0157] S202: For the preset scenario, obtain the existing energy control strategy.

[0158] For scenarios that have already been configured, pre-defined strategies can be retrieved from local storage.

[0159] S203: For new custom scenarios, energy control strategies can be re-established, or existing driving scenario strategies can be improved to obtain new energy control strategies.

[0160] In some examples, entirely new energy control strategies can be directly established and applied.

[0161] In some examples, sensors can be used to monitor vehicle status and actuator feedback in real time, combined with current detection data from the drive chip. Based on this data, the cloud server can assess whether the current strategy meets safety, comfort, and energy efficiency goals, and determine whether the strategy needs to be improved. For example, the basis for improvement includes: changes in scenario requirements, user feedback on optimization potential, or energy waste identified by the algorithm.

[0162] S204: Check if an OTA update is needed; if so, perform an OTA update.

[0163] After confirming the necessity of the update, the user is notified through the central control system. With the user's consent, the update is pushed to the vehicle via OTA. After installation, the system performs a self-check to ensure all functions are operating normally. OTA updates ensure that the energy control strategy remains optimal, improving both overall energy efficiency and user experience.

[0164] S205: Sends control commands to the driver chip;

[0165] In practical applications, the SoC communicates with the regional controller via an in-vehicle network (such as CAN bus or Ethernet) to generate specific control commands based on the current vehicle status and optimized energy control strategies. These commands include power adjustment requirements for various loads (such as air conditioning, motors, etc.). The central controller sends these commands to each driver chip via the corresponding communication protocol. The driver chips receive and execute the commands to achieve precise control of various electrical devices in the vehicle, ensuring efficient and safe energy distribution.

[0166] S206: Real-time monitoring of vehicle and load status;

[0167] In some examples, the vehicle status (including status feedback from actuators and sensors) and the current detection feedback from the drive chip can be monitored in real time.

[0168] S207: Evaluate and optimize strategies (periodic / event-triggered).

[0169] In some examples, cloud-based intelligent computing capabilities can be leveraged to identify and analyze energy consumption performance under different usage scenarios, enabling dynamic optimization of energy control strategies. When existing strategies are no longer suitable for a specific custom scenario or there is significant room for improvement, the system will automatically generate new strategies.

[0170] Reference Figure 5 The diagram illustrates a flowchart of a vehicle control method according to some embodiments of the present invention, which may specifically include the following steps:

[0171] Step 501: In response to the target driving scenario being triggered, determine the target energy control strategy based on the current state of charge of the vehicle.

[0172] Step 502: When multiple target driving scenarios are triggered, determine multiple control contents for the same vehicle function from the target energy control strategies of the multiple target driving scenarios.

[0173] Step 503: Determine the function category of the same in-vehicle function corresponding to the multiple target driving scenarios.

[0174] Step 504: Determine the priority of multiple control contents for the same vehicle function according to the function category.

[0175] Step 505: Determine the control content with the highest priority among the multiple control contents as the target control content.

[0176] Step 506: Update the target energy control strategy according to the target control content.

[0177] Step 507: Perform power supply control on the vehicle according to the target energy control strategy.

[0178] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0179] Some embodiments of the present invention also provide a vehicle control system, comprising:

[0180] Multiple load devices, each with a corresponding driver chip;

[0181] The controller is used to determine a target energy control strategy based on the current state of charge of the vehicle in response to the triggering of a target driving scenario, and to generate control commands based on the target energy control strategy.

[0182] A driver chip is used to control the power supply to the corresponding load device in response to control commands.

[0183] Optionally, determining the target energy control strategy based on the vehicle's current state of charge includes:

[0184] If the value of the current state of charge is within a first preset range, the target energy control strategy is determined to be the first target energy control strategy.

[0185] Optionally, determining the target energy control strategy based on the vehicle's current state of charge includes:

[0186] If the value of the current state of charge is within the second preset range, the target energy control strategy is determined to be the second target energy control strategy.

[0187] The energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different.

[0188] Optionally, the energy consumption corresponding to the first target energy control strategy and the second target energy control strategy are different, including:

[0189] At least one vehicle function has different energy consumption under the first target energy control strategy and the second target energy control strategy.

[0190] Optionally, before performing power supply control on the vehicle according to the target energy control strategy, the following steps are included:

[0191] When multiple target driving scenarios are triggered, multiple control contents for the same vehicle function are determined from the target energy control strategies of the multiple target driving scenarios.

[0192] From multiple control contents targeting the same vehicle function, a target control content is determined, and the target energy control strategy is updated based on the target control content.

[0193] Optionally, the energy consumption of different control contents of the same vehicle function may vary.

[0194] Optionally, determining the target control content from multiple control contents targeting the same vehicle function includes:

[0195] Determine the priority of multiple control functions for the same vehicle function;

[0196] Based on the aforementioned priority, the target control content is determined from multiple control contents targeting the same vehicle function.

[0197] Optionally, determining the priority of multiple control contents for the same vehicle function includes:

[0198] Determine the functional category of the same in-vehicle function corresponding to the multiple target driving scenarios;

[0199] Based on the function category, the priority of multiple control contents for the same vehicle function is determined.

[0200] Optionally, determining the target control content from multiple control contents targeting the same vehicle function based on the priority includes:

[0201] The control content with the highest priority among the multiple control contents is determined as the target control content.

[0202] Optionally, the functional categories include any of the following: safety system category, power system category, comfort system category, and energy-saving system category.

[0203] Optionally, generating control commands according to the target energy control strategy includes:

[0204] Determine one or more in-vehicle functions corresponding to the target energy control strategy;

[0205] Determine the load device corresponding to the one or more vehicle-mounted functions;

[0206] Based on the target energy control strategy, control commands are generated for the load device.

[0207] Optionally, the driving scenario includes a custom scenario, and before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, the method further includes:

[0208] Obtain control information for one or more in-vehicle functions input by the user;

[0209] Based on the control information, an energy control strategy for the custom scenario is generated.

[0210] Optionally, it also includes:

[0211] Upload the energy control strategy for the customized scenario to the cloud server;

[0212] The system obtains the strategy execution data of the energy control strategy for the custom scenario and uploads it to the cloud server so that the cloud server can generate updated data of the energy control strategy for the custom scenario based on the strategy execution data.

[0213] The system receives updated data from the cloud server and uses this updated data to update the energy control strategy for the custom scenario.

[0214] Optionally, each driving scenario is configured with triggering conditions, and before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, the method further includes:

[0215] Obtain the current vehicle status and / or the current environment status;

[0216] When the current vehicle state and / or the current environment state are detected to meet the triggering conditions of the target driving scenario, it is determined that the target driving scenario is triggered.

[0217] Some embodiments of the present invention also provide an electronic device, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method described above.

[0218] Some embodiments of the present invention also provide a vehicle including the vehicle control system described above, or the electronic equipment described above.

[0219] Some embodiments of the present invention also provide a computer-readable storage medium on which a computer program is stored, and which, when executed by a processor, implements the method described above.

[0220] Some embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the method described above.

[0221] 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.

[0222] 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. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0223] 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.

[0224] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention 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.

[0225] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will 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 and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0226] 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.

[0227] 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.

[0228] Although preferred embodiments of the present invention 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 invention.

[0229] 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 the aforementioned element.

[0230] The above provides a detailed description of the vehicle control method, system, device, vehicle, medium, and product. Specific examples have been used to illustrate the principles and implementation methods of the invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the invention. At the same time, those skilled in the art will recognize that, based on the ideas of the invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the invention.

Claims

1. A vehicle control method, characterized in that, The method includes: In response to the triggering of a target driving scenario, a target energy control strategy is determined based on the vehicle's current state of charge. The vehicle is powered according to the target energy control strategy.

2. The method according to claim 1, characterized in that, The step of determining the target energy control strategy based on the vehicle's current state of charge includes: If the value of the current state of charge is within a first preset range, the target energy control strategy is determined to be the first target energy control strategy.

3. The method according to claim 2, characterized in that, The step of determining the target energy control strategy based on the vehicle's current state of charge includes: If the value of the current state of charge is within the second preset range, the target energy control strategy is determined to be the second target energy control strategy. The energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different.

4. The method according to claim 3, characterized in that, The energy consumption corresponding to the first target energy control strategy and the second target energy control strategy is different, including: At least one vehicle function has different energy consumption under the first target energy control strategy and the second target energy control strategy.

5. The method according to any one of claims 1-4, characterized in that, Before performing power supply control on the vehicle according to the target energy control strategy, the following is included: When multiple target driving scenarios are triggered, multiple control contents for the same vehicle function are determined from the target energy control strategies of the multiple target driving scenarios. From multiple control contents targeting the same vehicle function, a target control content is determined, and the target energy control strategy is updated based on the target control content.

6. The method according to claim 5, characterized in that, The energy consumption of different control contents of the same vehicle function is different.

7. The method according to claim 5, characterized in that, The process of determining the target control content from multiple control contents targeting the same vehicle function includes: Determine the priority of multiple control functions for the same vehicle function; Based on the aforementioned priority, the target control content is determined from multiple control contents targeting the same vehicle function.

8. The method according to claim 7, characterized in that, The process of determining the priority of multiple control contents for the same vehicle function includes: Determine the functional category of the same in-vehicle function corresponding to the multiple target driving scenarios; Based on the function category, the priority of multiple control contents for the same vehicle function is determined.

9. The method according to claim 7, characterized in that, The step of determining the target control content from multiple control contents targeting the same vehicle function based on the priority includes: The control content with the highest priority among the multiple control contents is determined as the target control content.

10. The method according to claim 8, characterized in that, The functional categories include any of the following: safety system category, power system category, comfort system category, and energy-saving system category.

11. The method according to any one of claims 1-4, characterized in that, The vehicle is equipped with multiple load devices, each with a corresponding driver chip. The power supply control of the vehicle according to the target energy control strategy includes: According to the target energy control strategy, control commands are generated and sent to the corresponding driver chip to control the power supply of the corresponding load device.

12. The method according to claim 11, characterized in that, The step of generating control commands according to the target energy control strategy includes: Determine one or more in-vehicle functions corresponding to the target energy control strategy; Determine the load device corresponding to the one or more vehicle-mounted functions; Based on the target energy control strategy, control commands are generated for the load device.

13. The method according to any one of claims 1-4, characterized in that, The driving scenario includes a custom scenario, and before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, it further includes: Obtain control information for one or more in-vehicle functions input by the user; Based on the control information, an energy control strategy for the custom scenario is generated.

14. The method according to claim 13, characterized in that, Also includes: Upload the energy control strategy for the customized scenario to the cloud server; The system obtains the strategy execution data of the energy control strategy for the custom scenario and uploads it to the cloud server so that the cloud server can generate updated data of the energy control strategy for the custom scenario based on the strategy execution data. The system receives updated data from the cloud server and uses this updated data to update the energy control strategy for the custom scenario.

15. The method according to any one of claims 1-4, characterized in that, Each driving scenario is configured with triggering conditions. Before determining the target energy control strategy based on the vehicle's current state of charge in response to the triggering of the target driving scenario, the method further includes: Obtain the current vehicle status and / or the current environment status; When the current vehicle state and / or the current environment state are detected to meet the triggering conditions of the target driving scenario, it is determined that the target driving scenario is triggered.

16. A vehicle control system, characterized in that, include: Multiple load devices, each with a corresponding driver chip; The controller is used to determine a target energy control strategy based on the current state of charge of the vehicle in response to the triggering of a target driving scenario, and to generate control commands based on the target energy control strategy. A driver chip is used to control the power supply to the corresponding load device in response to control commands.

17. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method as described in any one of claims 1-15.

18. A vehicle, characterized in that, This includes the vehicle control system as described in claim 16, or the electronic device as described in claim 17.

19. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the method as described in any one of claims 1-15.

20. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method as described in any one of claims 1-15.

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