Vehicle forward driving incentive method, medium, product and vehicle

Abstract

The application provides a vehicle positive driving incentive method, medium, product and vehicle. According to driving related information of the vehicle and an achievement rule library, a basic achievement matched with the driving related information is determined as a target achievement achieved by the vehicle; wherein the achievement rule library comprises an achievement achievement rule corresponding to at least one basic achievement; the basic achievement is determined based on at least a positive driving behavior; and the target achievement is displayed through a target device. The embodiment of the application can realize identification of vehicle achievements and provide positive driving incentives for users.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, medium, product, and vehicle for positive driving incentive. Background Technology

[0002] With the deepening of automotive intelligence and connectivity technologies, user demands for the driving experience have expanded from basic assistance and safety to the pursuit of personalized and rewarding deep interactions. However, current vehicle system functional development still primarily focuses on traditional dimensions such as perception, warning, and control, leaving a significant gap in solutions for systematically evaluating vehicle driving behavior. Related technologies are mostly based on simple statistical functions of mobile applications or in-vehicle systems, such as recording and displaying single parameters like mileage, energy consumption, and speed. This only provides a partial and fragmented presentation of vehicle driving behavior, failing to identify achievements in driving performance and limiting further development in vehicle driving incentives. Summary of the Invention

[0003] This application provides a method, medium, product, and vehicle for positive driving incentives, which can identify vehicle achievements and provide users with positive driving incentives.

[0004] In a first aspect, embodiments of this application provide a method for incentivizing positive driving of a vehicle, the method comprising: Based on the vehicle's driving-related information and the achievement rule base, the basic achievements that match the driving-related information are determined as the target achievements that the vehicle will achieve; wherein, the achievement rule base includes at least one achievement achievement rule corresponding to a basic achievement; the basic achievements are determined based at least on positive driving behavior; Showcase target achievements through the target device.

[0005] Secondly, this application provides a vehicle positive driving incentive device, the device comprising: The determination module is used to determine the basic achievements that match the driving-related information of the vehicle as the target achievements to be achieved by the vehicle, based on the driving-related information of the vehicle and the achievement rule base; wherein, the achievement rule base includes at least one achievement achievement rule corresponding to the basic achievement; the basic achievement is determined at least based on positive driving behavior; The display module is used to display the target achievement through the target device.

[0006] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions; When the processor executes computer program instructions, it implements the vehicle forward driving incentive method as described in any of the embodiments of the first aspect.

[0007] Fourthly, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the vehicle forward driving incentive method as described in any of the embodiments of the first aspect.

[0008] Fifthly, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform a vehicle forward driving incentive method as described in any of the embodiments of the first aspect above.

[0009] Sixthly, embodiments of this application also provide a vehicle, which includes at least one of the following: Such as the second aspect: vehicle positive driving incentive device; Such as electronic devices in the third aspect; Such as the computer-readable storage medium in the fourth aspect; Such as computer program products in the fifth aspect.

[0010] In the vehicle positive driving incentive method, medium, product, and vehicle provided in this application embodiment, an achievement rule library is constructed, which includes at least one basic achievement determined based on positive driving behavior and achievement achievement rules corresponding to each basic achievement. By matching and analyzing vehicle driving-related information with the achievement rule library, basic achievements that conform to the achievement achievement rules can be automatically captured from driving-related information, thereby determining the target achievement achieved by the vehicle, solving the core pain point of related technologies being unable to identify driving achievements. On this basis, the achieved target achievements are displayed through the target device, allowing users to clearly perceive the value of their positive driving behavior and forming positive incentive guidance. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic flowchart of the vehicle positive driving incentive method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the structure of a vehicle positive driving incentive device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0013] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0014] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0015] It should be noted that, in this document, relational terms such as "first" and "second" are used merely 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 term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. 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 apparatus that includes the element.

[0016] With the rapid development of automotive intelligence and connectivity technologies, Advanced Driver Assistance Systems (ADAS) and multi-sensor fusion technologies have been widely adopted in vehicles, providing basic technical support for the monitoring and analysis of vehicle driving behavior. However, these technologies still have many significant limitations, making it difficult to meet the diverse and personalized driving experience needs of users and the requirements for the intelligent upgrading and development of vehicles.

[0017] Specifically, the relevant technologies generally lack a systematic achievement system and fail to form an effective positive driving incentive mechanism. They mostly rely on simple trip statistics or mobile application points to provide basic feedback, which not only lacks fun and emotional connection, making it difficult to motivate users to drive safely and responsibly, but also fails to achieve the transformation from "passive monitoring" to "proactive compliance." Furthermore, there are significant deficiencies in scenario coverage and judgment dimensions. At the same time, the reliability of data fusion and judgment is poor. Single sensors are easily affected by environmental interference, and the relevant technologies lack effective multi-sensor collaborative verification mechanisms, resulting in low accuracy and high false alarm rates in scenario judgment. Moreover, the judgment rules are mostly static thresholds, which cannot adapt to dynamically changing driving environments and vehicle speeds, and have poor fairness. In addition, the relevant solutions are mostly closed designs with weak system scalability and personalization capabilities. They cannot flexibly add or update driving achievement items during the vehicle's life cycle, and the judgment standards are rigid and fail to be personalized based on users' historical driving habits, resulting in low user stickiness.

[0018] Currently, similar solutions commonly found in the industry are mostly limited to mobile application (APP) points or simple mileage and time statistics of in-vehicle systems. They are fundamentally different from actual needs in terms of technical depth, scope of scenarios, and user experience.

[0019] To address the problems existing in related technologies, this application provides a positive driving incentive method and a vehicle.

[0020] The positive driving incentive method provided in the embodiments of this application will be described below. Figure 1 As shown, the method specifically includes the following steps: S100, based on the vehicle's driving-related information and the achievement rule base, the basic achievement matching the driving-related information is determined as the target achievement of the vehicle; wherein, the achievement rule base includes at least one achievement achievement rule corresponding to a basic achievement; the basic achievement is determined at least based on positive driving behavior.

[0021] Optionally, in this embodiment, driving-related information is a comprehensive set of data generated during vehicle operation that relates to the vehicle's driving behavior and surrounding environment. Driving-related information may include the vehicle's own operating status data, environmental perception data, network connectivity data, and the achievement status of other accomplishments in the vehicle's history and current journey.

[0022] Specifically, vehicle operating status data comes from the vehicle dynamics system, powertrain chassis system, etc., such as steering angle rate, wheel speed, and steering wheel angle collected by the Inertial Measurement Unit (IMU), and power parameters, battery recuperation power, and total energy consumption output by the Electronic Control Unit (ECU), Battery Management System (BMS), and Electronic Stability Program (ESP); environmental perception data comes from cameras, millimeter-wave radar, light / rain sensors, etc., such as road scene images captured by the forward-facing camera and the distance to the vehicle in front detected by radar; connected data includes GPS positioning information, network weather data, map traffic data, etc.; and other achievement achievements include the types of achievements previously unlocked by the vehicle, the time of achievement, the cumulative number of achievements, and achievement events triggered during this trip.

[0023] The achievement rule library is a database that stores the achievement rules corresponding to multiple achievements. Each achievement rule contains complete configuration information required for the achievement determination, such as data source specification (clearly defining the sensor data to be called) and dynamic determination logic (determination threshold, statistical period, etc.). The achievement rule library supports hierarchical and categorized management of achievements and can be dynamically updated via Over-the-Air (OTA) technology. It allows for the addition, modification, or deletion of achievement rules without altering the underlying system architecture, and can flexibly adapt to changes in different driving scenarios, user needs, and vehicle iteration upgrades.

[0024] Achievements are a comprehensive evaluation of a user's specific driving performance. Achievements are determined based at least on positive driving behaviors and aim to guide users to develop safe, efficient, and environmentally friendly driving habits through positive feedback mechanisms. Achievements can cover multiple driving scenarios and behavior types, including safe driving achievements (such as "Safe Distance Pioneer"), energy efficiency achievements (such as "Energy Saving Master"), scenario exploration achievements (such as "Sunrise / Sunset Trip"), as well as chain challenges requiring the completion of multiple basic achievements (such as "Safe Journey Home"). They can also be set as multi-level progressive goals such as "Energy Saving Explorer → Energy Saving Master → Energy Saving Legend." Achievements transform abstract driving data into concrete recognition, guiding users to drive correctly and optimize their driving habits through positive incentives, while simultaneously enhancing the enjoyment and user engagement of the driving process.

[0025] Positive driving behaviors include, but are not limited to: safe operating behaviors (such as maintaining a safe distance and using lights properly), energy-saving driving habits (such as efficient energy recovery and smooth acceleration and deceleration), and exploration of specific scenarios (such as smoothly passing through mountain curves and accurately identifying tunnel scenarios).

[0026] Achievement rules are specific standards and execution logic set for individual achievements in the achievement rule library to determine whether an achievement has been achieved.

[0027] Basic achievements are standardized achievement types that are pre-defined based on positive driving behavior, driving status, or driving scenarios.

[0028] A target achievement refers to a basic achievement in which the actual driving information of the vehicle matches the corresponding achievement rule in the achievement rule library during the current trip, and is determined to have met the achievement rule.

[0029] Optionally, in one feasible implementation of this application, after the vehicle starts, it synchronously collects all dimensions of driving-related information in real time, including environmental perception (cameras, radar, etc.), vehicle dynamics (IMU, wheel speed, etc.), powertrain chassis (ECU, BMS, etc.), and network systems (GPS, weather data). After filtering, noise reduction, and format standardization by the preprocessing layer, this information is imported into the real-time data pool. Simultaneously, an extensible achievement rule engine loads all effective achievement achievement rules from the achievement rule library and instantiates multiple achievement judgment tasks in parallel. Each task performs achievement judgment according to the achievement achievement rules. Once a judgment task detects that data meets the corresponding rule, it determines that the basic achievement is the target achievement.

[0030] Alternatively, in another feasible implementation of this application, during the driving process, only full-dimensional driving-related information is continuously collected and stored, and the achievement determination logic is not executed temporarily, thereby reducing the system resource consumption during driving. When the vehicle is turned off and the trip ends, the complete driving-related information for this trip is extracted from the storage module, the achievement rule engine loads the achievement achievement rules for the corresponding scenario, instantiates the determination tasks one by one, performs backtracking analysis on the entire trip data, matches them one by one, and selects all basic achievements that meet the conditions as target achievements.

[0031] S200, the target achievement is displayed through the target device.

[0032] Optionally, in this embodiment, the target device can refer to a device associated with the vehicle that can receive and display the target achievement. The target device may include, but is not limited to, various components in the vehicle cabin, such as the vehicle's central control screen, instrument panel, head-up display, ambient lighting, seat vibration motor, audio system, and windows, as well as, but may also include, but is not limited to, driver mobile terminals that establish a communication connection with the vehicle, such as mobile phones, smartwatches, and tablets.

[0033] Optionally, in the embodiments of this application, the output of the target achievement can be of various types, as shown in the following examples: 1. Upon achievement, multi-sensory synchronous feedback is triggered through the vehicle's infotainment system, including dynamically lighting up the exclusive achievement badge, playing customized sound effects (such as an honor announcement), and real-time congratulations from the voice assistant (such as "Congratulations on achieving the 'Safe Distance Model' achievement!"). At the same time, a concise achievement pop-up window appears on the vehicle's screen, displaying the achievement name and key achievement data (such as "Continued 30 km of safe following distance"), allowing users to receive positive incentives instantly while driving and enhancing their sense of accomplishment and participation.

[0034] 2. After the trip ends (when the vehicle is turned off or the destination is reached), an intelligent summary of the trip is automatically generated, which integrates all the goals and achievements achieved, the core achievement data of each achievement, and the highlights of the trip data. This summary is pushed to the vehicle's infotainment system and the associated mobile app in a combination of text and images, making it easy for users to quickly review the driving highlights and achievements of the trip.

[0035] 3. Supports multiple view outputs such as list, calendar, and statistical charts. The list view displays detailed information (name, achievement time, core data) of all achieved goals in chronological order; the calendar view marks the number and type of achievements achieved each day by date; the statistical chart view intuitively presents the category statistics of achievement achievement (such as the proportion of security, efficiency, and exploration achievements) and the cumulative number of achievements.

[0036] 5. All achievement records are encrypted and synchronized to the cloud. Users can log in to the same account through multiple terminals such as in-vehicle systems, mobile apps, and computers to obtain a consistent achievement display and review experience, fulfilling the need to "view achievements anytime, anywhere". It also supports the achievement sharing function, allowing users to share the achievement records (including scene snapshots and key data) to social platforms with one click, further amplifying the sense of accomplishment and interactivity.

[0037] 6. While displaying target achievements, personalized progress prompts can also be pushed based on users' historical driving habits and achievement completion status, such as "You have achieved 'Energy Saving Explorer', and you can unlock 'Energy Saving Master' by completing 3 more high-efficiency energy recovery tests" or "You are only 5 kilometers away from the 'Mountain Cornering Master' achievement, which is a smooth mountain driving test." This guides users to continue participating in achievement challenges and enhances user engagement.

[0038] In a vehicle positive driving incentive method provided in this application embodiment, an achievement rule base is constructed, comprising at least one basic achievement determined based on positive driving behavior and achievement achievement rules corresponding to each basic achievement. By matching and analyzing vehicle driving-related information with the achievement rule base, basic achievements that conform to the achievement achievement rules can be automatically captured from driving-related information, thereby determining the target achievement achieved by the vehicle, solving the core pain point of related technologies being unable to identify driving achievements. Based on this, the achieved target achievements are displayed through the target device, allowing users to clearly perceive the value of their positive driving behavior and forming positive incentive guidance.

[0039] In one embodiment, the target device includes at least one of the vehicle's in-vehicle infotainment system, at least one physical control of the vehicle, and a user device connected to the vehicle; And / or, The target achievement includes at least one of the following: energy saving achievement, driving safety achievement, and energy recovery achievement.

[0040] Optionally, in the embodiments of this application, physical controls refer to components inside the vehicle that have output, prompting, or feedback functions. They can be a single component or a combination of multiple components, used to convey feedback information on the achievement of a target to the user through actions, sounds, vibrations, lights, or changes in position, including but not limited to vehicle windows, audio systems, seats, ambient lights, horns, vibration motors, steering wheel vibration modules, etc.

[0041] The achievement of goals can be demonstrated in a variety of ways, including but not limited to the following: 1. Displayed through the vehicle's infotainment system: When a target achievement is achieved, the vehicle's infotainment screen will display the target achievement in the form of a pop-up window, card, animation, or text announcement.

[0042] 2. Display through the vehicle's physical controls, such as controlling the seat to vibrate, controlling the ambient lighting to illuminate a specific color, controlling the audio system to play alert sounds, and controlling the steering wheel to vibrate. It should be noted that physical controls can work individually or in combination to remind the user of the achievement in a multimodal manner.

[0043] 3. Display the achievement information through user devices connected to the vehicle, sending the achievement information to the user's mobile phone, tablet or smartwatch in the form of notification, pop-up, sound or vibration.

[0044] 4. Combine at least two of the vehicle's infotainment system, physical controls, and user devices for collaborative display, and simultaneously trigger screen display, voice broadcast, seat vibration, or mobile phone notification when an achievement is achieved, so that users can perceive positive driving incentives from multiple dimensions.

[0045] Optionally, in this embodiment, energy-saving achievements are a quantitative recognition and positive incentive for a user's ability to control vehicle energy consumption during driving. This aims to guide users to develop economical and environmentally friendly driving habits and fully leverage the vehicle's energy-saving potential.

[0046] Energy recovery achievements are performance-based driving achievements designed for new energy vehicles. They represent a quantitative recognition and positive incentive for users' energy recovery efficiency during driving. Their core objective is to guide users to optimize their driving habits, fully utilize the vehicle's kinetic energy recovery function, and improve energy efficiency.

[0047] Driving safety achievements are quantitative recognition and positive incentives given to users for taking safe driving behaviors based on real-time traffic conditions and vehicle movement status during vehicle operation.

[0048] In these alternative embodiments, the target device is set as at least one of the vehicle system, vehicle physical control and user device to realize multimodal achievement display, improve the timeliness of feedback and user perception; at the same time, the target achievement is divided into energy-saving achievement, driving safety achievement and energy recovery achievement, covering multiple types of positive driving behavior, which can positively incentivize users from multiple dimensions such as safety and efficiency, and guide safe and energy-saving driving.

[0049] In one embodiment, determining the target achievement achieved by the vehicle based on vehicle driving-related information and an achievement rule base includes: For any basic achievement in the aforementioned achievement rule base, execute the following: Extract the target information corresponding to the basic achievement from the driving-related information; If the target information matches the target achievement achievement rule, the basic achievement is determined as the target achievement; the target achievement achievement rule is the achievement achievement rule corresponding to the basic achievement.

[0050] Optionally, in this embodiment, the target information is a set of data directly related to a specific target achievement extracted from vehicle driving-related information. The extraction logic of the target information matches the definition of the basic achievement, filtering only the data required to achieve the achievement rules corresponding to the basic achievement, rather than all driving-related information. For example, if the basic achievement is "safe distance benchmark", then data such as real-time vehicle speed, distance to the vehicle in front, and continuous following distance are extracted from driving-related information as target information; if the basic achievement is "efficient energy recovery", then data directly related to energy recovery, such as battery recovery power, total energy consumption, and driving time, are extracted as target information.

[0051] In these alternative embodiments, by extracting target information, redundancy of all data is avoided, and the efficiency of achievement determination is improved.

[0052] In one embodiment, the target achievement achievement rule includes the judgment benchmark generation rule corresponding to the basic achievement; When the target information and the target achievement match according to the rules, the basic achievement is determined as the target achievement, including: The target benchmark is determined based on the target information and the judgment benchmark generation rules; If the target information matches the target benchmark, the basic achievement is determined as the target achievement.

[0053] Optionally, in this embodiment, the judgment benchmark generation rule refers to the rule logic in the achievement achievement rule used to define how to dynamically calculate and generate the judgment benchmark based on real-time and / or historical driving-related information. The judgment benchmark generation rule can be a calculation formula, an algorithm model, a query mapping table, or a combination of the above methods. Its input is the target information, and its output is a specific and quantifiable judgment benchmark.

[0054] For example, for achievements related to safe following, the judgment benchmark generation rule could be a calculation formula that "multiplies the real-time vehicle speed by a preset safety factor and then corrects it based on the road surface adhesion coefficient"; for achievements related to energy saving, the judgment benchmark generation rule could be a query mapping logic that "queries the cloud energy consumption database to obtain the benchmark energy consumption based on the vehicle model, ambient temperature, and road condition type".

[0055] A target benchmark refers to a specific judgment standard used for comparison with target information, obtained by processing target information through a judgment benchmark generation rule. The target benchmark can take the form of a single numerical value (such as a safe distance threshold), a numerical sequence (such as a sequence of safe distance thresholds that vary with vehicle speed), a state condition (such as lights should be on), or a combination of the above.

[0056] Optionally, in one feasible implementation of this application, during vehicle operation, core target information corresponding to the target achievement is first extracted from all dimensions of driving-related information. For the basic achievement of "tunnel crossing", target information such as GPS positioning data (confirming the precise location and time of entering / exiting the tunnel), vehicle speed sensor data (driving speed inside the tunnel), and steering angle rate collected by gyroscope and IMU (steering stability inside the tunnel) are extracted; for the basic achievement of "lighting specifications", target information such as ambient brightness data detected by light sensor, vehicle lighting control signals (low beam / high beam on / off status and timing), and driving scenarios verified by GPS positioning (such as urban roads and highways) are extracted.

[0057] Subsequently, the judgment benchmark generation rules corresponding to these two basic achievements are invoked respectively. For the "Tunnel Crossing" basic achievement, the judgment benchmark generation rules include: "Determine whether the tunnel length is ≥1 km based on tunnel identification information" and "Determine the maximum allowable driving speed in the tunnel based on the road section speed limit database." The extracted target information is input into the judgment benchmark generation rules to generate target benchmarks for this crossing behavior, including "Tunnel length compliance judgment benchmark" and "Speed ​​compliance benchmark (specific value)." For the "Lighting Standards" basic achievement, the judgment benchmark generation rules include: "Determine the brightness threshold at which low beam headlights should be turned on based on ambient brightness data and time information" and "Determine the judgment rule for high beam headlight prohibition scenarios based on driving scene recognition results." After the target information is input, target benchmarks such as "Low beam headlight turning on timing benchmark" and "High beam headlight prohibition scenario judgment benchmark" are dynamically generated.

[0058] Finally, the extracted target information for the two categories is compared one by one with the corresponding achievement criteria. For the "tunnel crossing" achievement, the comparison includes: whether the GPS positioning information has been verified to have completely passed through the tunnel, and whether the actual driving speed is lower than the speed compliance benchmark. For the "lighting compliance" achievement, the comparison includes: whether the low beam headlights are turned on within 10 seconds after the ambient brightness is lower than the preset threshold, whether the low beam headlights are turned off within 30 seconds after the ambient brightness is higher than the preset threshold, and whether the high beam headlights are not turned on in scenarios where their use is prohibited. If the target information meets their respective target benchmarks, the vehicle is determined to have achieved both the "tunnel crossing" and "lighting compliance" achievements.

[0059] In these alternative embodiments, targeted comparisons are conducted using a target benchmark to avoid interference from irrelevant conditions and improve the efficiency and accuracy of the judgment.

[0060] In one embodiment, the target achievement includes energy-saving achievement; the target information includes vehicle energy consumption parameters of the vehicle during this trip; and the target benchmark includes benchmark energy consumption. The step of determining the target benchmark based on the target information and the judgment benchmark generation rule includes: The benchmark energy consumption is determined based on the vehicle energy consumption parameters according to the aforementioned benchmark generation rule. The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: If the vehicle's energy consumption is less than or equal to the baseline energy consumption, the energy-saving achievement is determined as the target achievement.

[0061] The vehicle energy consumption parameters include at least one of the following: vehicle energy consumption, vehicle driving status parameters, and vehicle driving environment parameters.

[0062] Optionally, in this embodiment, the driving state parameters are a set of data reflecting the dynamic characteristics of the vehicle during driving. The data mainly comes from the vehicle dynamics system, powertrain chassis system, etc., and includes real-time vehicle speed, acceleration / deceleration rate, motor output power, steering wheel angle, mileage, etc.

[0063] Driving environment parameters are a set of data related to the surrounding environment and road conditions during vehicle operation. This data originates from environmental perception and network systems, including real-time temperature, precipitation, wind speed, road type (highway, urban road, mountain road), traffic congestion level, altitude, and gradient.

[0064] Optionally, in one feasible implementation of this application, the first step is to generate a working condition label by extracting vehicle type, driving status parameters, and driving environment parameters from driving-related information to generate a working condition label for this trip.

[0065] Next, the benchmark energy consumption is determined based on the vehicle's energy consumption parameters by generating rules corresponding to the energy-saving achievement. Specifically, the rule engine calls upon massive amounts of data on the same vehicle model in the cloud, combines it with the operating condition tags of the current trip, filters out historical driving samples under the same operating conditions, calculates the average energy consumption under those conditions as the benchmark energy consumption, and simultaneously uses a dynamic correction mechanism to calibrate the energy consumption coefficient for special environmental factors such as low temperature and steep slopes, ensuring that the benchmark energy consumption closely matches the actual scenario. This benchmark energy consumption serves as the target benchmark.

[0066] Finally, the actual vehicle energy consumption for this trip is compared with the calculated baseline energy consumption. If the actual vehicle energy consumption is less than or equal to the baseline energy consumption, the vehicle is determined to have achieved energy-saving achievement, which is then defined as the target achievement.

[0067] In these optional embodiments, the baseline energy consumption is dynamically determined by combining vehicle type, driving status, and environmental parameters, avoiding the unfairness of a single static standard. By comparing the actual energy consumption with the baseline energy consumption of the appropriate scenario, the user's energy-saving driving ability is accurately measured, effectively incentivizing users to develop economical driving habits.

[0068] In one embodiment, the basic achievement includes driving safety achievement; the target information includes the vehicle speed and the distance between the vehicle and other vehicles; the target reference includes a safe distance; The step of determining the target benchmark based on the target information and the judgment benchmark generation rule includes: determining the safe distance based on the vehicle speed using the judgment benchmark generation rule; The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: determining the driving safety achievement as the target achievement when the vehicle distance matches the safe distance.

[0069] Optionally, in one feasible implementation of this application, the real-time vehicle speed V during the vehicle's driving process is first collected by a vehicle speed sensor. Based on the preset dynamic threshold formula in the judgment benchmark generation rule (such as D_safe=V*T, where T is the safety time coefficient and D_safe is the safety distance), a safe distance matching the current vehicle speed is dynamically calculated as the target benchmark.

[0070] Next is the vehicle distance acquisition, which adopts a sensor collaborative verification mode. The millimeter-wave radar is used as the main sensor to obtain the actual distance D_actual between the vehicle and the vehicle in front, while the image data collected by the forward-looking camera is used for auxiliary verification.

[0071] Finally, statistical comparison and judgment are performed. A continuous statistical period is set (e.g., following the vehicle continuously for 30 kilometers), and the actual vehicle distance and the safe distance are compared in real time within the statistical period. The phrase "when the vehicle distance matches the safe distance" can be implemented in various ways, including but not limited to the following: 1. Within the statistical period, the cumulative mileage where the actual following distance is greater than or equal to the safe distance is counted. The proportion of this cumulative mileage to the total following distance within the statistical period is calculated as the safe following distance percentage. If this percentage reaches or exceeds a preset threshold, the following is determined: the following distance matches the safe distance, and the vehicle has achieved driving safety.

[0072] 2. Within the statistical period, the cumulative time during which the actual following distance is greater than or equal to the safe distance is recorded. This cumulative time is then calculated as the proportion of the total following time within the statistical period, and is taken as the safe following time percentage. If this percentage reaches or exceeds a preset threshold, the following is considered a match between the vehicle distance and the safe distance, and the vehicle is deemed to have achieved a safe driving record.

[0073] 3. The mileage ratio and time ratio are weighted and integrated to form a comprehensive safety score. When the score exceeds the preset comprehensive compliance threshold, it is determined that the vehicle distance matches the safe distance, and the vehicle has achieved driving safety.

[0074] In these alternative embodiments, the safe distance is dynamically determined by vehicle speed, breaking through the limitations of traditional static thresholds, fairly evaluating users' safe following behavior, effectively guiding users to develop dynamically adapted safe driving habits, and improving driving safety.

[0075] In one embodiment, the target achievement includes energy recovery achievement; the target information includes the vehicle's battery recovery power and battery energy consumption during this trip; the target benchmark includes a proportional threshold. The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: The energy recovered by the vehicle during this trip is determined based on the battery recovery power and the battery energy consumption. If the ratio of the energy recovered from the battery to the energy consumed by the battery is greater than or equal to the ratio threshold, the energy recovery achievement is determined as the target achievement.

[0076] Optionally, in one feasible implementation of this application, the first step is the data acquisition stage, in which the target information of this trip is collected in real time through the vehicle BMS, including battery energy recovery related data (such as kinetic energy recovery power flow and recovery time sequence) and battery energy consumption data (such as total power consumption during the entire journey and power output energy consumption distribution).

[0077] Next, the energy calculation phase begins. The rule engine instantiates the energy recovery achievement judgment task, processes the target information, and converts the sequence of recovered power changing over time into the cumulative battery recovered energy for this trip through integral calculation. At the same time, it summarizes the total battery energy consumption for the entire trip.

[0078] Finally, in the ratio determination stage, the ratio of battery recovered energy to total battery energy consumption is calculated according to the ratio threshold in the target benchmark (such as 30%). If the ratio is greater than or equal to the ratio threshold, the vehicle is determined to have achieved energy recovery success, and the energy recovery success is determined as the target success.

[0079] In these alternative embodiments, focusing on the energy recovery scenario of new energy vehicles, the proportion of battery energy recovery to energy consumption is quantified and benchmarked against the proportion threshold to achieve accurate achievement judgment, effectively incentivize users to optimize energy recovery driving habits and improve vehicle range performance.

[0080] In one embodiment, the target achievement achievement rule includes the achievement judgment benchmark corresponding to the basic achievement; When the target information matches the target achievement achievement rule, determining the basic achievement as the target achievement includes: In response to the target information matching the achievement determination criterion and the associated achievement associated with the basic achievement being achieved, the basic achievement is determined as the target achievement.

[0081] Optionally, in this embodiment, associated achievements are other achievements logically related to the basic achievement, serving as one of the prerequisites for achieving the basic achievement. Essentially, it involves constructing progressive, scenario-related, or combined relationships between achievements to form a multi-layered achievement system. For example, if the basic achievement is "Energy Saving Master," the associated achievement could be the basic "Energy Saving Explorer"; if the basic achievement is "All-Around Driving in Mountainous Areas," the associated achievements could be scenario-based sub-achievements such as "Smooth Driving on Mountain Curves" and "Energy Saving Driving on Mountain Slopes." The inclusion of associated achievements enriches the hierarchy and enjoyment of the achievement system while guiding users to gradually cultivate driving habits.

[0082] Optionally, in one feasible implementation of this application, firstly, the target achievement achievement rules corresponding to the basic achievement are loaded, clarifying the achievement judgment benchmarks corresponding to the basic achievement and the achievement requirements of related achievements. For example, when the basic achievement is "Energy Saving Legend," the related achievements are "Energy Saving Explorer" and "Energy Saving Master," and the achievement requirements of the related achievements are respectively "Energy consumption per trip is 10% lower than the benchmark under the same operating conditions" (corresponding to Energy Saving Explorer) and "Achieve Energy Saving Explorer status 3 times cumulatively with single-trip energy consumption 15% lower than the benchmark" (corresponding to Energy Saving Master); when the basic achievement is "All-Round Driving in Mountainous Areas," the related... The achievements are "Smooth Driving on Mountain Curves" and "Energy-Saving Driving on Mountain Slopes". The requirements for achieving these achievements are "Driving on mountain curves for ≥5 kilometers without sharp turns" (corresponding to "Smooth Driving on Mountain Curves") and "Driving on mountain slopes for ≥3 kilometers with energy consumption lower than the benchmark for the same road section" (corresponding to "Energy-Saving Driving on Mountain Slopes"). When the basic achievement is "King of Safe Commuting", the related achievements are "Commuting Guardian" and "Traffic Violation-Free Model". The requirements for achieving these achievements are "Completing a fixed commute for 20 consecutive working days" (corresponding to "Commuting Guardian") and "No traffic violations in the past 3 months" (corresponding to "Traffic Violation-Free Model").

[0083] Next, it verifies whether all associated achievements meet the corresponding requirements. At the same time, it extracts the target information required for basic achievements from driving-related information. For example, for "Energy Saving Legend," it requires extracting data such as energy consumption, road conditions, and temperature for this trip.

[0084] Finally, if the associated achievement meets the requirements and the target information meets the achievement judgment criteria (such as "Energy Saving Legend" requiring energy consumption to be 20% lower than the benchmark under the same operating conditions, or accumulating 10 Energy Saving Master achievements with a single energy consumption lower than the benchmark by 20%), then the basic achievement will be determined as the target achievement.

[0085] In these alternative embodiments, a progressive judgment logic is constructed by associating achievement requirements, which not only enriches the hierarchy and fun of the achievement system, but also guides users to gradually develop good driving habits, further enhancing user stickiness and driving incentive effects.

[0086] In one embodiment, the target achievement achievement rule includes achievement requirements for at least two first achievements associated with the base achievement; the target information includes the achievement status of each of the first achievements; When the target information matches the target achievement achievement rule, determining the basic achievement as the target achievement includes: In response to the achievement status indication that each of the first achievements has been achieved, the basic achievement is determined as the target achievement.

[0087] Optionally, in the embodiments of this application, the first achievement is a sub-achievement constituting the basic achievement, and is a necessary prerequisite for achieving the basic achievement. Essentially, it breaks down the basic achievement into multiple independently quantifiable sub-achievements. For example, when the basic achievement is "all-around challenge in a single trip," the first achievement may include "proper use of lights," "maintaining a safe distance," and "low-energy driving," etc.; when the basic achievement is "mountain driving master," the first achievement may include "smooth driving on mountain curves," "energy-efficient driving on mountain slopes," and "proper passage through mountain tunnels," etc.

[0088] Optionally, in one feasible implementation of this application, the target achievement achievement rules corresponding to the basic achievement are first loaded, specifying at least two first achievements required for the basic achievement and their respective achievement requirements. For example, in the "Safe Journey Home" chain challenge, the first achievements include "Proper Use of Lights", "Maintaining a Safe Distance", and "No Sudden Acceleration or Sudden Braking", with achievement requirements of "Switch on and off lights in a timely manner when the ambient brightness is appropriate", "The actual distance between the vehicle and the car is not less than the dynamic safe distance when following", and "The number of sudden accelerations and sudden brakings throughout the entire process is ≤1".

[0089] When the basic achievement is "All-rounder of a Single Trip", the first achievement is "Energy-saving driving", "Standard passage through tunnels" and "Smooth steering", and the requirements are "Energy consumption is lower than the benchmark under the same working conditions", "Low beam headlights are on throughout the tunnel" and "Steering angle rate is ≤ preset threshold".

[0090] When the basic achievement is "Commuting Safety Star", the first achievement is "no traffic violations", "smooth following during peak hours" and "standard driving in inclement weather". The requirements for achieving this are "no traffic violations during the trip", "effective following during peak hours ≥90%" and "braking frequency in rain and snow meets the standards".

[0091] Next, the achievement status of each first achievement is extracted from the driving-related information. If the achievement status of all first achievements meets the corresponding requirements, then the basic achievement is determined as the target achievement.

[0092] In these alternative embodiments, by breaking down basic achievements into multiple first achievements, the diversity and fun of the achievement system are enriched, guiding users to develop good driving habits in an all-round way, and enhancing system stickiness and user engagement.

[0093] In one embodiment, determining the basic achievement matched with the driving-related information as the target achievement achieved by the vehicle, based on the vehicle's driving-related information and an achievement rule base, includes: Based on the vehicle's driving-related information, determine the target driving scenario for the vehicle; Based on the target driving scenario, at least one candidate achievement achievement rule corresponding to a basic achievement is selected from the achievement rule base; If the driving-related information matches the candidate achievement corresponding to the basic achievement according to the rules, the basic achievement will be determined as the target achievement.

[0094] Optionally, in this embodiment, the target driving scenario is a driving scenario type with distinct characteristics that is comprehensively determined based on vehicle driving-related information. The target driving scenario may include various types such as special road conditions (mountain curves, tunnels), specific time and space (sunrise and sunset times, rain and snow weather), and scenarios exclusive to new energy vehicles (long-distance energy recovery, pure electric range driving).

[0095] Candidate achievement rules are a set of achievement judgment rules selected from the achievement rule base based on the target driving scenario and highly adapted to the characteristics of that scenario. For example, for the "mountain curve scenario", candidate rules may include the steering angle rate judgment standard for "smooth driving on mountain curves" and the energy consumption comparison rule for "energy saving on mountain slopes".

[0096] Optionally, in one feasible implementation of this application, firstly, vehicle driving-related information is collected through multi-sensor collaboration, including light / rain data from the environmental perception system, road type from GPS positioning, driving posture from the IMU, and energy status from the BMS. After preprocessing and feature extraction, the target driving scenario is comprehensively determined, such as "mountain curves - rainy weather", "urban congestion - nighttime", "highway - pure electric range", etc.

[0097] Next, relying on the scalable rule engine, suitable candidate achievement rules are selected from the achievement rule library based on the feature tags of the target driving scenario. For example, for the "mountain curve" scenario, the steering angle rate judgment rule for "smooth driving on curves" and the energy consumption calibration rule for "energy saving on slopes" are selected. Finally, target information is extracted from driving-related information and compared with the candidate achievement rules. For example, "smooth driving on curves" requires checking whether the steering angle rate is lower than a preset threshold and whether the vehicle distance meets the dynamic safety standard. If all judgment conditions are met, the basic achievement corresponding to the candidate achievement rule is determined as the target achievement.

[0098] In these alternative embodiments, the target scene is accurately located based on driving information, and then suitable candidate rules are selected, thereby improving the judgment efficiency and reducing vehicle power consumption.

[0099] In one embodiment, after determining the basic achievement matching the driving-related information as the target achievement achieved by the vehicle based on the vehicle's driving-related information and an achievement rule base, the method further includes: Generate achievement description information corresponding to the stated target achievement; The achievement description information is synchronized to the user equipment connected to the vehicle.

[0100] Optionally, in this embodiment, the achievement description information is an achievement record generated after the target achievement is achieved, used to record the achievement status. The achievement description information may include, but is not limited to, the achievement time and the driving-related data corresponding to the achievement time. The achievement time is the precise timestamp of the achievement trigger; the driving-related data is a multi-dimensional data snapshot of the moment the achievement is achieved, covering environmental perception data (such as camera scene images, light / rain information), vehicle status data (such as vehicle speed, energy consumption, steering angle rate), and network data (such as road conditions, location information), etc. This record not only achieves objective traceability of achievement achievement but also allows users to review driving scenarios through multi-source data correlation.

[0101] User devices connected to the vehicle include, but are not limited to, in-vehicle terminals (vehicle infotainment interface), mobile terminals (user-linked mobile apps), and cloud-based platforms. An encrypted data synchronization mechanism ensures that descriptive information is presented consistently and in real-time across all terminals. Users can obtain immediate feedback through the in-vehicle infotainment system, review contextualized driving memories via the mobile app, and view historical performance statistics through the cloud platform.

[0102] Optionally, in one feasible implementation of this application, when it is determined that the vehicle has achieved the target achievement, the achievement description information generation process is immediately triggered. The precise timestamp of achievement achievement is automatically captured as the achievement time, and at the same time, multi-dimensional driving-related data corresponding to the achievement time are extracted from the real-time data pool, including environmental perception data, vehicle status data, and network connectivity data, forming an indexed structured data snapshot, which is then integrated into a complete achievement record.

[0103] Subsequently, through an encrypted transmission channel, the achievement record is synchronized to the user's device connected to the vehicle: the in-vehicle infotainment system instantly displays a dynamic badge and core data via a pop-up window, the mobile app simultaneously pushes achievement notifications and stores the record, and the cloud platform archives the data to form a "timeline-achievement-scenario" related index. During the synchronization process, the system ensures real-time consistency of data across all terminals, allowing users to subsequently review scenarios through the in-vehicle infotainment system, view details through the mobile app, and export statistics through the cloud platform, achieving a complete closed loop from achievement determination to multi-terminal experience.

[0104] In these optional embodiments, achievement description information is generated and synchronized to the user's device connected to the vehicle. This achieves objective and traceable documentation of achievement, allowing users to clearly recall driving scenarios, while also creating an immersive experience through multi-device synchronization, strengthening the emotional connection of the incentive loop, and enhancing user engagement and stickiness.

[0105] In one embodiment, synchronizing the achievement description information to a user device connected to the vehicle includes: Upon determining that the vehicle trip has ended, a trip timeline associated with the trip is generated based on at least one achievement description information generated during the trip; wherein, the trip timeline is marked with achievement achievement time points corresponding to each achievement description information; The travel timeline is synchronized to the user equipment connected to the vehicle.

[0106] Optionally, in this embodiment, the journey timeline is a visualized, time-series data carrier generated based on all achievement records in a single journey. The core is to accurately mark the achievement time point (i.e., the precise timestamp of achievement triggering) of each achievement at the corresponding node according to the journey time sequence, and associate the achievement description information corresponding to that time point.

[0107] Optionally, in one feasible implementation of this application, vehicle status data is monitored in real time, and when the vehicle is detected to be stationary for a preset duration, the ignition switch is turned off, and parking is completed, the trip is determined to be over.

[0108] Subsequently, all achievement records generated during this trip are retrieved, sorted chronologically by achievement time, and a structured trip timeline is generated. The timeline marks the achievement time point for each achievement and associates it with achievement description information at that time point (including snapshots of driving-related data and scene images at that time). The timeline also automatically adds key trip nodes (such as departure time and arrival time).

[0109] Finally, the trip timeline is synchronized to the user's device connected to the vehicle via an encrypted data transmission channel.

[0110] In these alternative embodiments, a trip timeline marking achievement times is generated after the trip ends and synchronized across devices, allowing users to clearly trace the sequence of achievements during the trip. Simultaneously, the timeline data facilitates users' reflection on driving scenarios and sharing of driving achievements, strengthening the emotional connection within the incentive loop and enhancing user engagement.

[0111] In one embodiment, the method further includes: Receive a query request; the query request includes the target journey timeline and the target achievement achievement time point; Displays the achievement record corresponding to the time point when the target achievement is achieved; the time point when the target achievement is achieved is the achievement achievement time point on the target journey timeline.

[0112] Optionally, in one feasible implementation of this application, users can initiate query requests through the vehicle-mounted interactive interface, the bound mobile APP, or the cloud platform. The query request must clearly include the target trip timeline (which can be filtered and locked by trip date, departure point-destination, etc.) and the time point when the target achievement is achieved on the timeline (users can select specific time nodes from the timeline visualization interface).

[0113] Upon receiving a query request, the system first retrieves the complete data package of the corresponding trip from the trip database archived in the cloud or locally, based on the association identifier (such as the trip ID) of the target trip timeline. Then, it uses timestamp matching technology to accurately locate the achievement record corresponding to the time point of the target achievement.

[0114] Subsequently, the structured data of the achievement record is analyzed to extract the driving-related data (including environmental images, vehicle status parameters, etc.) at the time of achievement, and presented in a display format adapted to the user terminal: the in-vehicle system displays core information and thumbnail scene images in the form of pop-ups or sidebars; the mobile APP presents a complete details page, including timeline positioning markers, high-definition scene snapshots, and key parameter charts, and supports users to zoom in and out to view details; the cloud platform also provides a data export function.

[0115] In these optional embodiments, users can initiate queries based on the target journey timeline and the corresponding achievement completion time, accurately displaying relevant achievement records. This allows users to quickly retrieve detailed data for the target scenario, enhancing the "time-achievement-scenario" connection experience, meeting users' needs for review and verification, and further improving the practicality and user engagement of the incentive loop.

[0116] In one embodiment, the method further includes: The achievement rules are updated and adjusted via a cloud server; and / or The achievement rules can be updated and adjusted through the preset rule configuration interface.

[0117] Optionally, in the application embodiments, the achievement achievement rules in the achievement rule base are extensible. In a specific implementation, regarding cloud server expansion, automakers can edit the configuration parameters of achievement achievement rules (such as adding the judgment logic for the "smooth driving on coastal roads" achievement and adjusting the dynamic threshold calibration coefficient for energy-saving achievements) through the OTA rule management backend based on user feedback, new requirements in driving scenarios, or algorithm optimization results. After testing and verification, a standardized configuration file is generated and pushed to target vehicles in batches via OTA technology. After receiving the file, the extensible rule engine on the vehicle side automatically replaces or adds the corresponding rule entries, and the update can be completed without modifying the underlying system architecture.

[0118] Regarding the expansion of local preset interfaces, a standardized rule configuration interface is reserved, allowing technical personnel to access the achievement rule library directly through dedicated debugging tools or authorized management terminals. This allows them to make localized adjustments to the achievement rule library, such as customizing personalized judgment parameters for specific user groups or temporarily adding achievement rules for special activities. The adjustments take effect immediately and are synchronized to the cloud for backup.

[0119] Other scalable methods include: supporting users to submit custom achievement rule suggestions via mobile app, which will be included in the rule base after being reviewed and approved by the car manufacturer; automatically generating personalized rule parameters adapted to the user's driving habits through a behavior analysis engine based on the user's historical driving data; and linking with third-party service platforms to import customized achievement rules (such as scenic spot co-branded exploration achievements) to further enrich the diversity and scenario adaptability of the achievement system.

[0120] In these alternative embodiments, by updating and adjusting the achievement rules, it is possible to ensure that the rules are dynamically iterated to adapt to functional upgrades and personalized adaptations throughout the vehicle's lifecycle, while also improving the system's flexibility and scalability and enhancing long-term user engagement.

[0121] It should be noted that the various optional implementation methods described in the embodiments of this application can be combined with each other or implemented individually without conflict, and the embodiments of this application do not limit this.

[0122] To facilitate understanding of the positive driving incentive method provided in the above embodiments, the following describes the positive driving incentive method using a specific scenario embodiment.

[0123] This application constructs a scalable rule engine specifically for determining driving achievements. With "achievement rules" as the core management unit, each rule is independently configured with the required data source, multi-source data fusion processing flow, and dynamic determination logic. The engine supports hierarchical and categorized management of achievements (such as safety, exploration, and performance), and enables dynamic updates, additions, or modifications to the achievement rule library through OTA or preset rule configuration interfaces, without altering the underlying system architecture. This achieves flexible management throughout the entire lifecycle from achievement definition and testing to deployment.

[0124] Meanwhile, the engine can maintain the user's personal achievement progress status, supporting "multi-level progressive achievements" (such as Energy-Saving Explorer → Energy-Saving Master → Energy-Saving Legend). It can also build a "Challenge Rule Base" on top of the achievement rule base, defining "chain challenges" (such as the "Safe Journey Home" challenge) that require the continuous completion of multiple achievements in a single trip, enriching the system's fun and depth. This architecture effectively solves the problems of incomplete scenario coverage, poor scalability, and weak personalization capabilities in existing systems. It can quickly respond to diverse needs, systematically cover various existing and future driving scenarios, and provide a technical foundation for personalized adjustment of rule parameters based on user habits.

[0125] For each achievement assessment, a dedicated multi-sensor data collaborative fusion processing flow is designed, comprising three key mechanisms: First, collaborative verification, defining sensor combinations and logical verification rules for each achievement to avoid relying on a single, easily distorted data source for assessment results; second, dynamic adaptation, introducing dynamic thresholds and scenario-based correction mechanisms, such as dynamically calculating safe distance based on vehicle speed and calibrating energy-saving evaluations based on temperature and road conditions to ensure fairness and scenario relevance; and third, in-depth data mining, utilizing unique data streams for new energy vehicles (such as BMS battery management data and kinetic energy recovery power streams) to define exclusive achievements that profoundly reflect vehicle performance and user driving habits. This method addresses the problems of insufficient data fusion accuracy, low assessment reliability, and poor environmental adaptability in existing technologies. It enhances anti-interference capabilities through multi-source cross-validation, adapts to complex driving environments through dynamic mechanisms, and achieves deep differentiation of technical solutions based on unique data mining, making it more in line with automotive-grade application requirements.

[0126] By constructing a complete incentive loop from judgment to experience, the system automatically associates and stores the achievement event with a snapshot of multimodal environmental data (such as scene images from the forward-view camera and key vehicle parameters) at the moment of achievement, forming a structured index of "timeline-achievement-scenario". Based on this index, the system provides three core experiences: a smart end-of-trip report that automatically generates and pushes a summary report containing trip data highlights and new achievements; contextualized traceability and review, generating a timeline marking achievement trigger points for each trip, allowing users to click on achievement achievement times on the timeline on terminals such as in-vehicle systems and mobile apps to accurately recall the corresponding real driving scenario; and a cross-device synchronized view, where all achievement data is encrypted and synchronized to the cloud, supporting multi-dimensional unified access from in-vehicle systems, mobile apps, and the cloud. This closed loop transforms abstract driving behavior data into a perceptible, memorable, and shareable immersive digital memory, solving the problems of traditional solutions such as a single incentive mechanism, a dull user experience, and insufficient stickiness, and strengthening the emotional connection and user participation of the achievement system.

[0127] The specific process includes: 1. Data Acquisition: Real-time synchronous acquisition of full-dimensional data from environmental perception system (camera, radar, light / rain sensor), vehicle dynamics system (IMU, wheel speed, steering wheel angle), powertrain chassis system (ECU, BMS, ESP signals) and network system (GPS, network weather / map data) via vehicle bus and dedicated interface, and unified time scale alignment; 2. Data preprocessing: Performing operations such as filtering and noise reduction, format standardization, and initial feature extraction on the raw data, such as image distortion correction, GPS trajectory smoothing and noise reduction, and calculating the turning angle rate from IMU data, to provide clean and regular input for upper-level decision-making; 3. Achievement Determination: The scalable rule engine loads and runs multiple achievement determination tasks in parallel. Each task is an independent "achievement rule instance" that executes a multi-sensor collaborative fusion determination process and outputs achievement events with precise timestamps and data snapshot indexes. 4. Incentive Feedback and Data Management: Real-time feedback is achieved through in-vehicle dynamic badges, exclusive sound effects, and voice commands. After the trip, a smart summary and timeline are generated, supporting cross-platform scenario tracking and data synchronization. Automakers can analyze data and optimize rules through the cloud management backend, and push new achievement content or update judgment parameters through OTA to achieve continuous system evolution. 5. Query Response: Users can initiate query requests via the terminal, which include the timeline of the target trip and the time point when the target achievement is achieved. The system retrieves the corresponding data package through the trip ID, locates the target achievement record by matching the timestamp, and displays the complete details in a terminal-adapted format to achieve accurate scenario backtracking.

[0128] The following is an exemplary description of the process for determining relevant achievements: 1. Model of safe distance The system synchronously collects the real-time vehicle speed V from the vehicle speed sensor every 100ms, and dynamically calculates the safe distance threshold corresponding to the current vehicle speed through a preset algorithm (such as D_safe=V×safe distance coefficient T). Simultaneously, the measured vehicle distance data from the millimeter-wave radar and the auxiliary distance measurement results from the visual camera are used to eliminate outliers caused by interference from a single sensor due to rain, fog, obstruction, etc. The statistical unit is the complete following phase (e.g., continuous following mileage ≥ 30 km or duration ≥ 30 minutes). The real-time cumulative vehicle distance satisfies the effective mileage and total duration of D_actual > D_safe. After the trip, the effective percentage P (effective mileage / total following mileage or effective time / total following time) is calculated. When P ≥ 90%, the achievement of "safe distance pacesetter" is determined.

[0129] 2. Lighting Standards Messenger Based on the light intensity value of the light sensor, the precipitation level of the rain sensor, and the GPS time (distinguishing between dawn and dusk), the scene is subdivided into sub-scenes such as "night driving", "dusk / dawn low light", and "light rain / moderate rain / heavy rain". Each sub-scene corresponds to a preset lighting standard (such as low beam headlights need to be turned on at night and fog lights need to be turned on in heavy rain). The system continuously reads data from the lighting control module via the vehicle bus, recording the on / off status and switching times of various lights such as low beam headlights, high beam headlights, and fog lights. After the trip is completed, the system will count the total duration of each scene where the lights should be on, and then calculate the cumulative duration of the lights that were correctly turned on to obtain the correct light-on rate. Brief delays in light switching due to special circumstances such as entering or exiting tunnels or passing other vehicles (e.g., ≤3 seconds) are allowed to be excluded from error statistics. When the correct activation rate is ≥98%, the achievement of "Lighting Standard Messenger" is determined.

[0130] 3. Tunnel Travel Expert Once the light sensor detects a sudden drop in light intensity (e.g., a drop of ≥80% within 1 second), it immediately triggers the visual verification process. The camera captures images of the road conditions ahead and identifies whether there are structural features such as the arc-shaped outline of the tunnel entrance or signs. Combine GPS positioning data to query the tunnel location information in the electronic map, and at the same time determine the duration of the sudden drop in light (tunnel crossing is usually ≥10 seconds, excluding short-term dark light scenes such as under bridges). When all four conditions are met—"sudden drop in light intensity + visual recognition of tunnel structure + map matching of tunnel existence + duration meeting criteria"—a complete tunnel crossing is confirmed and counted. To achieve the "Tunnel Traversal Master" achievement, you must complete at least 3 tunnel crossings in a single trip, or have tunnel crossing records in 3 consecutive trips.

[0131] 4. Energy Recovery Master Data such as kinetic energy recovery power, battery input power, and total vehicle power consumption are synchronized in real time from the BMS. The total energy E_rec recovered during a single trip is obtained by integrating the recovered power over time using an integral algorithm. The energy recovery percentage η is calculated as E_rec / total power consumption × 100%, while invalid energy consumption data when the vehicle is stationary is removed to ensure the accuracy of the calculation. Multiple efficiency levels are preset (e.g., η≥25% is acceptable, η≥35% is advanced). When η reaches the basic acceptable threshold, the achievement of "Energy Recovery Master" is determined.

[0132] 5. Energy-saving pacesetter Based on GPS traffic data (congested / smooth / highway), average vehicle speed from vehicle speed sensors, and real-time temperature from ambient temperature sensors, multi-dimensional condition labels are generated for this trip (such as "city congestion -25℃" and "highway smooth -18℃"). The operating condition label of this trip is matched with a large amount of trip energy consumption data of the same vehicle model and the same label in the cloud database to calculate the average energy consumption benchmark value E_avg under this operating condition; Comparing the actual average energy consumption E_actual and E_avg for this trip, when E_actual ≤ E_avg × 85% (i.e., energy consumption is more than 15% lower than the average level), it is judged as "significantly better than the benchmark"; Those who meet the energy consumption advantage criteria and travel mileage ≥ 10 kilometers are deemed to have achieved the "Energy Saving Pioneer" achievement.

[0133] 6. Commuter Guardian The system analyzes GPS driving trajectories over the past 30 days, extracting high-frequency departure and arrival times, key nodes of frequently used routes (such as the entrance to the community, intersections, and destination parking lots), and the range of route length fluctuations (such as ±10%). Key points are extracted from the daily travel trajectory, and a high-tolerance matching algorithm is used to allow reasonable deviations from the path due to temporary detours, road construction, etc. Record the daily trajectory matching results. When the matching criteria are met for 5 consecutive working days, it is confirmed that the user has formed a stable commuting habit. Once the continuous matching requirement is met, the "Commuter Guardian" achievement is determined, and the commuter route map, historical matching success rate, and daily departure / arrival time statistics are linked.

[0134] Figure 2 A schematic diagram of a vehicle forward driving incentive device according to another embodiment of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0135] Reference Figure 2 The vehicle positive driving incentive device may include: The determining module 201 is used to determine the basic achievements that match the driving-related information of the vehicle as the target achievements to be achieved by the vehicle, based on the driving-related information of the vehicle and the achievement rule base; wherein, the achievement rule base includes at least one achievement achievement rule corresponding to the basic achievement; the basic achievement is determined at least based on positive driving behavior; Display module 202 is used to display the target achievement through the target device.

[0136] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application, and are devices corresponding to the above-mentioned methods. All implementation methods in the above-mentioned method embodiments are applicable to the embodiments of this device. For details on its specific functions and the technical effects it brings, please refer to the method embodiment section, which will not be repeated here.

[0137] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0138] Figure 3 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0139] The device may include a processor 301 and a memory 302 storing program instructions.

[0140] When processor 301 executes the program, it implements the steps in any of the above method embodiments.

[0141] For example, the program can be divided into one or more modules / units, one or more of which are stored in memory 302 and executed by processor 301 to complete this application. The one or more modules / units can be a series of program instruction segments capable of performing a specific function, which describe the execution process of the program in the device.

[0142] Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0143] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 302 is non-volatile solid-state memory.

[0144] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0145] The processor 301 implements any of the methods described above by reading and executing program instructions stored in the memory 302.

[0146] In one example, the electronic device may also include a communication interface 303 and a bus 310. The processor 301, memory 302, and communication interface 303 are connected via the bus 310 and communicate with each other.

[0147] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0148] Bus 310 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0149] Furthermore, in conjunction with the methods in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the methods in the above embodiments.

[0150] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0151] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0152] This application provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, it will not be described again here.

[0153] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0154] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on machine-readable media or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer grids such as the Internet, intranets, etc.

[0155] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0156] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and program products according to embodiments of this disclosure. It should be understood that each block in 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 program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to create a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0157] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for incentivizing positive driving of a vehicle, characterized in that, The method includes: Based on the vehicle's driving-related information and the achievement rule base, the basic achievements that match the driving-related information are determined as the target achievements of the vehicle; wherein, the achievement rule base includes at least one achievement achievement rule corresponding to a basic achievement; the basic achievements are determined at least based on positive driving behavior; The target achievement is displayed through the target device.

2. The method according to claim 1, characterized in that, The step of determining the target achievement achieved by the vehicle based on vehicle driving-related information and the achievement rule base includes: For any basic achievement in the aforementioned achievement rule base, execute the following: Extract the target information corresponding to the basic achievement from the driving-related information; If the target information matches the target achievement achievement rule, the basic achievement is determined as the target achievement; the target achievement achievement rule is the achievement achievement rule corresponding to the basic achievement.

3. The method according to claim 2, characterized in that, The rules for achieving the target achievement include the rules for generating the judgment criteria corresponding to the basic achievement. When the target information and the target achievement match according to the rules, the basic achievement is determined as the target achievement, including: The target benchmark is determined based on the target information and the judgment benchmark generation rules; If the target information matches the target benchmark, the basic achievement is determined as the target achievement.

4. The method according to claim 3, characterized in that, The target achievement includes energy-saving achievement; the target information includes the vehicle's energy consumption parameters during this trip; The target benchmark includes benchmark energy consumption; The step of determining the target benchmark based on the target information and the judgment benchmark generation rule includes: The benchmark energy consumption is determined based on the vehicle energy consumption parameters according to the aforementioned benchmark generation rule. The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: If the vehicle's energy consumption is less than or equal to the baseline energy consumption, the energy-saving achievement is determined as the target achievement.

5. The method according to claim 3, characterized in that, The basic achievements include driving safety achievements; the target information includes the vehicle's speed and the distance between the vehicle and other vehicles. The target reference includes a safety distance; The step of determining the target benchmark based on the target information and the judgment benchmark generation rule includes: determining the safe distance based on the vehicle speed using the judgment benchmark generation rule; The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: determining the driving safety achievement as the target achievement when the vehicle distance matches the safe distance.

6. The method according to claim 3, characterized in that, The target achievement includes energy recovery achievement; the target information includes the vehicle's battery recovery power and battery energy consumption during this trip; the target benchmark includes a proportional threshold. The step of determining the basic achievement as the target achievement when the target information matches the target benchmark includes: The energy recovered by the vehicle during this trip is determined based on the battery recovery power and the battery energy consumption. If the ratio of the energy recovered from the battery to the energy consumed by the battery is greater than or equal to the ratio threshold, the energy recovery achievement is determined as the target achievement.

7. The method according to claim 2, characterized in that, When the target information matches the target achievement achievement rule, determining the basic achievement as the target achievement includes: The target achievement achievement rule includes the achievement determination benchmark corresponding to the basic achievement. In response to the target information matching the achievement determination benchmark and the associated achievement being achieved, the basic achievement is determined as the target achievement; and / or The target achievement achievement rules include the achievement requirements of at least two first achievements associated with the base achievement; in response to the achievement status of each first achievement indicating that each first achievement has been achieved, the base achievement is determined as the target achievement; the target information includes the achievement status of each first achievement.

8. The method according to claim 1, characterized in that, The step of determining the basic achievements that match the vehicle's driving-related information and the achievement rule base as the target achievements achieved by the vehicle includes: Based on the vehicle's driving-related information, determine the target driving scenario for the vehicle; Based on the target driving scenario, at least one candidate achievement achievement rule corresponding to a basic achievement is selected from the achievement rule base; If the driving-related information matches the candidate achievement corresponding to the basic achievement according to the rules, the basic achievement will be determined as the target achievement.

9. The method according to claim 1, characterized in that, After determining the basic achievements matching the driving-related information as the target achievements achieved by the vehicle based on the vehicle's driving-related information and the achievement rule base, the method further includes: Generate achievement description information corresponding to the stated target achievement; The achievement description information is synchronized to the user equipment connected to the vehicle.

10. The method according to claim 9, characterized in that, The step of synchronizing the achievement description information to the user equipment connected to the vehicle includes: Upon determining that the vehicle trip has ended, a trip timeline associated with the trip is generated based on at least one achievement description information generated during the trip; wherein, the trip timeline is marked with achievement achievement time points corresponding to each achievement description information; The travel timeline is synchronized to the user equipment connected to the vehicle.

11. A computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement as follows: The vehicle forward driving incentive method according to any one of claims 1-10.

12. A computer program product comprising a computer program, which, when executed by a processor, implements, as follows: The vehicle forward driving incentive method according to any one of claims 1-10.

13. A vehicle, characterized in that, Includes at least one of the following: The computer-readable storage medium as claimed in claim 11; The computer program product as described in claim 12.

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