Adjusting method and device for vehicle energy recovery, electronic equipment and storage medium

Abstract

The invention relates to the technical field of vehicles, and discloses a vehicle energy recovery adjusting method and device, electronic equipment and a storage medium, and the adjusting method comprises the steps: determining a target expression from the facial expressions of a driver in a detection period; the target expression is an expression of which the maintenance duration exceeds a preset duration and the occurrence frequency exceeds a preset frequency; determining a target driving style according to an emotion type represented by the target expression; determining an energy recovery adjustment strategy according to the target driving style and the emotion types of other passengers; and adjusting the energy recovery value of the vehicle based on the energy recovery adjustment strategy. Multiple technical effects of considering driving comfort, riding experience and endurance efficiency are achieved, so that personalized driving experience considering energy efficiency, comfort and safety is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle energy recovery adjustment method and device, electronic equipment and storage medium. BACKGROUND

[0002] The energy recovery system of a vehicle is crucial for improving the cruising range. At present, the setting of energy recovery intensity is usually fixed, or only a limited mode such as "strong, medium, weak" is manually selected by the driver, and the energy recovery control is performed according to the preset gear. Some improved models realize adaptive adjustment to a certain extent by combining driving parameters such as vehicle speed and pedal opening, but still mainly rely on vehicle operating state information, lacking adaptability to actual driving scenarios and personnel state. SUMMARY

[0003] In view of the above problems, the present application provides a vehicle energy recovery adjustment method and device, electronic equipment and storage medium, which determines the driving style of the driver by analyzing the persistent expression of the driver, and dynamically formulates the energy recovery strategy by comprehensively considering the emotions of other passengers, so as to realize personalized driving experience considering energy efficiency, comfort and safety.

[0004] According to one aspect of the present application, a vehicle energy recovery adjustment method is provided, which comprises: determining a target expression from the facial expression of the driver in a detection period; the target expression is an expression whose maintenance time exceeds a preset time and whose occurrence times exceed a preset number; determining a target driving style according to the emotion type represented by the target expression; determining an energy recovery adjustment strategy according to the target driving style and the emotion type of other passengers; and adjusting the energy recovery value of the vehicle based on the energy recovery adjustment strategy.

[0005] In an optional manner, determining an energy recovery adjustment strategy according to the target driving style and the emotion type of other passengers comprises: determining an initial energy recovery adjustment strategy according to the target driving style, and detecting whether the emotion type of other passengers in the detection period is a car sickness type; if yes, determining an energy recovery adjustment strategy according to the initial energy recovery adjustment strategy and the strategy adjustment mode corresponding to the car sickness type; and if no, taking the initial energy recovery adjustment strategy as the energy recovery adjustment strategy.

[0006] In an optional manner, determining an initial energy recovery adjustment strategy according to the target driving style comprises: if the target driving style is an aggressive driving style, taking a first preset strategy of reducing the energy recovery value as the initial energy recovery adjustment strategy; and if the target driving style is a conservative driving style, taking a second preset strategy of increasing the energy recovery value as the initial energy recovery adjustment strategy.

[0007] In one optional approach, the strategy adjustment method corresponding to the motion sickness type represents reducing the energy recovery value; determining the energy recovery adjustment strategy based on the initial energy recovery adjustment strategy and the strategy adjustment method corresponding to the motion sickness type includes: if the initial energy recovery adjustment strategy is the first preset strategy, then increasing the energy recovery value to be reduced in the first preset strategy to obtain the energy recovery adjustment strategy; if the initial energy recovery adjustment strategy is the second preset strategy, then determining the first preset strategy as the energy recovery adjustment strategy.

[0008] In one optional approach, the energy recovery adjustment strategy includes an initial energy recovery value and an adjusted energy recovery value; adjusting the vehicle's energy recovery value based on the energy recovery adjustment strategy includes: adjusting the vehicle's energy recovery value to the initial energy recovery value, and adjusting the vehicle's energy recovery value based on the adjusted energy recovery value, until the driver's target expression disappears or the vehicle's energy recovery value returns to zero.

[0009] In one alternative approach, the target driving style is determined based on the emotional type represented by the target facial expression, including: if the emotional type represented by the target facial expression is relaxed, then the target driving style is determined to be a conservative driving style; if the emotional type represented by the target facial expression is tense, then the target driving style is determined to be an aggressive driving style.

[0010] In one optional approach, the adjustment method further includes: detecting whether the vehicle is in motion and whether the vehicle has activated the energy recovery adjustment function; if the vehicle is in motion and the energy recovery adjustment function is activated, then acquiring facial video streams of the driver and other occupants to extract their facial expressions.

[0011] According to another aspect of this application, a vehicle energy recovery adjustment device is provided, the adjustment device comprising: an expression determination module, configured to determine a target expression from the facial expressions of a driver within a detection period; the target expression being an expression whose duration exceeds a preset duration and whose frequency exceeds a preset number; a driving style determination module, configured to determine a target driving style based on the emotion type represented by the target expression; a strategy determination module, configured to determine an energy recovery adjustment strategy based on the target driving style and the emotion types of other occupants; and an adjustment module, configured to adjust the vehicle's energy recovery value based on the energy recovery adjustment strategy.

[0012] According to one aspect of this application, an electronic device is provided, comprising: a controller; and a memory for storing one or more programs, which, when executed by the controller, perform the above-described regulation method.

[0013] According to one aspect of this application, a computer-readable storage medium is also provided, on which computer-readable instructions are stored, which, when executed by a computer's processor, cause the computer to perform the above-described adjustment method.

[0014] According to one aspect of this application, a computer program product or computer program is also provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the aforementioned regulation method.

[0015] This application identifies statistically significant target expressions from the facial expressions of drivers during the detection period, infers the target driving style based on this, and then dynamically determines the energy recovery adjustment strategy by combining the emotional types of other occupants. This achieves multiple technical effects that take into account driving comfort, riding experience and range efficiency, thereby realizing a personalized driving experience that balances energy efficiency, comfort and safety.

[0016] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0018] Figure 1 This is a schematic flowchart illustrating an exemplary embodiment of the present application of a method for regulating vehicle energy recovery.

[0019] Figure 2 Based on Figure 1 The exemplary embodiment shown illustrates a flowchart of another method for regulating vehicle energy recovery.

[0020] Figure 3 Based on Figure 2 The exemplary embodiment shown illustrates a flowchart of another method for regulating vehicle energy recovery.

[0021] Figure 4This is a schematic diagram illustrating an application scenario of the vehicle energy recovery adjustment method of this application.

[0022] Figure 5 This is a schematic diagram of the structure of a vehicle energy recovery regulating device shown in an exemplary embodiment of this application.

[0023] Figure 6 This is a schematic diagram of the structure of a computer system for an electronic device illustrated in an exemplary embodiment of this application. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0025] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0026] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0027] In this application, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0028] In related technologies, vehicle energy recovery is relatively mechanical, relying solely on the driver to manually select a limited number of modes such as "strong," "medium," and "weak," with energy feedback control based on preset levels. Some improved models achieve a degree of adaptive adjustment by incorporating driving parameters such as vehicle speed and pedal opening, but still primarily depend on vehicle operating status information, lacking adaptability to actual driving scenarios and driver conditions.

[0029] To this end, one aspect of this application provides a method for adjusting vehicle energy recovery. This method determines the driver's driving style by analyzing their persistent facial expressions and, by comprehensively considering the emotions of other occupants, dynamically formulates an energy recovery strategy, thereby achieving a personalized driving experience that balances energy efficiency, comfort, and safety. Please refer to the details below. Figure 1 , Figure 1 This is a schematic flowchart illustrating an exemplary embodiment of a vehicle energy recovery adjustment method. The adjustment method includes at least steps S110 to S140, which are described in detail below: S110: Identify the target expression from the driver's facial expressions within the detection period; the target expression is an expression that lasts for more than a preset duration and appears more than a preset number of times.

[0030] The detection cycle refers to the time window during which the driver's facial video stream is continuously collected and analyzed. It can be set from 30 seconds to 2 minutes, and the specific timeframe can be adaptively adjusted based on vehicle stability and changes in ambient lighting. This cycle is not fixed and can be personalized by learning user habits.

[0031] Facial expressions refer to the visual patterns formed by the facial muscle movements of a driver, captured by an in-vehicle camera. The focus is on subtle features such as the frequency of eye closure, the degree of eyebrow raising / wrinkling, and the angle of the corners of the mouth (i.e., micro-expressions). These micro-expressions are characterized by their transience, involuntary nature, and high sensitivity, effectively reflecting an individual's current emotional fluctuations.

[0032] The determination of a target expression requires meeting two conditions simultaneously: first, the duration of a single occurrence must exceed a preset duration (e.g., 1 second, which is less than the detection cycle length); second, the cumulative number of occurrences must exceed a preset number (e.g., 3 times). This dual threshold mechanism helps to eliminate interference from accidental expressions (such as facial distortions caused by momentary blinking or coughing), improving recognition accuracy. For example, if a driver's frowning action is continuously detected, each lasting more than 1.2 seconds, and occurs a total of 4 times within 90 seconds, it is marked as a valid target expression.

[0033] The camera for capturing the driver's facial expressions is positioned inside the A-pillar, featuring wide-angle imaging and automatic gain control, maintaining image clarity in low-light, backlight, or nighttime conditions. To facilitate the capture of facial expressions from other rear-seat occupants, a camera can be installed on the B-pillar for this purpose.

[0034] In an exemplary embodiment, the vehicle energy recovery adjustment method is provided with a pre-trigger condition, for example: detecting whether the vehicle is in motion and whether the vehicle has activated the energy recovery adjustment function; if the vehicle is in motion and the energy recovery adjustment function is activated, then acquiring facial video streams of the driver and other occupants to extract their facial expressions.

[0035] For example, vehicle operating status information can be obtained from the vehicle bus system (such as the CAN bus). By reading parameters such as the transmission gear position signal, vehicle speed signal, and engine or motor operating status, it can be determined whether the vehicle is in D gear and has a non-zero speed. When the vehicle is in D gear and a continuous speed greater than a preset threshold (e.g., 3 km / h) is detected, it is determined to be in motion. Conversely, if the vehicle is in P gear, N gear, or stationary, the triggering condition is not met, ensuring that micro-expression recognition and energy recovery adjustment only activate during actual driving, avoiding accidental system calculations before parking, stopping, or starting. Simultaneously, the triggering condition also includes the activation status of the energy recovery adjustment function. Users can choose to enable or disable the automatic energy recovery adjustment function based on facial expressions according to personal preference, achieving personalized settings and giving the system flexibility. This allows drivers to actively disable intelligent intervention in specific scenarios (such as familiarizing themselves with road conditions or pursuing maximum range). In some embodiments, the triggering condition also includes whether the energy recovery value is at a limit value (i.e., 0% or 100%). If the energy recovery value is at a limit value, the adjustment method of this application will not be triggered. In another embodiment, the triggering condition also includes whether the target expression exists. For example, if no expression appears for a duration exceeding a preset duration and a number of occurrences exceeding a preset number, or if the expression that appears is not a preset expression (or is an unrecognizable expression), then the adjustment method of this application will not be triggered.

[0036] The front-row camera can be installed inside the A-pillar or above the steering wheel, facing the driver and front passenger; the rear-row camera can be positioned at the top of the B-pillar or in the center of the headliner, covering the rear seat area. The cameras feature wide dynamic range, low-light imaging capabilities, and support infrared illumination to adapt to complex lighting environments such as day / night cycles, strong backlighting, and tunnel entrances / exits. The video capture frequency can be selected from 25 to 30 frames per second to ensure continuous capture of micro-expression changes. The camera can automatically enter sleep mode when it detects no occupants in the corresponding seat (this can be determined using a weight sensor or seatbelt unfastened signal) to reduce power consumption.

[0037] The system processes the captured video stream frame by frame, locating key facial features (such as the corners of the eyes, brows, and corners of the mouth), analyzing muscle movements, and identifying typical micro-expression patterns such as frowning, raising eyebrows, grimacing, and squinting. The recognition model used can be trained based on convolutional neural networks or temporal modeling networks, capable of distinguishing between brief movements and sustained expressions. The system is designed to consider micro-expressions as valid only if they are maintained for more than a preset duration (e.g., 1 second) and occur at a preset threshold (e.g., more than 3 times), thus eliminating momentary interference such as blinking and coughing.

[0038] S120: Determine the target driving style based on the emotional type represented by the target's facial expression.

[0039] Emotion type is a psychological state label obtained by classifying target facial expressions. Common categories include tension / anxiety, relaxation / pleasure, neutrality, and irritability.

[0040] Target driving style is an abstract generalization of a driver's operational tendencies, mainly divided into aggressive driving style and conservative driving style. The former is characterized by a preference for rapid acceleration, frequent braking, and higher speeds; the latter is reflected in driving habits such as smooth following, early deceleration, and focus on energy consumption optimization. This embodiment indirectly infers driving style through emotional type: when a driver consistently displays a tense expression, it is inferred that they may have an impatient mentality, thus classifying them as an aggressive driving style; conversely, if they consistently display a relaxed expression, they are judged to have a conservative driving style. This judgment logic does not rely on vehicle dynamic parameters (such as acceleration, steering angle, etc.), but uses biosignals as input sources, achieving pre-prediction of driving intentions and enhancing predictability and proactivity.

[0041] For example, if the emotional type represented by the target facial expression is relaxed, the target driving style is determined to be conservative driving style; if the emotional type represented by the target facial expression is tense, the target driving style is determined to be aggressive driving style.

[0042] If the emotional type is "relaxed," it indicates that the driver is in a relaxed, pleasant, or focused state, typically manifested by relaxed eyebrows, loose facial muscles, and a natural upward or slight smile. This type of emotion is usually associated with lower stress levels and a higher sense of situational control, often reflected in driving behavior as gentle acceleration, early braking, and a preference for high energy recovery rates. Therefore, the target driving style corresponding to this emotion is determined to be a conservative driving style, thereby triggering a technical response mechanism that increases energy recovery to enhance the vehicle's range.

[0043] The threshold for determining a relaxation level can be adaptively adjusted based on different user groups. For example, a young driver might still exhibit a slight upward curve to the corners of their mouth even in a state of mild excitement. In this case, heart rate variability or multimodal fusion (such as voice tone analysis) can be introduced to assist in the judgment, avoiding misjudgment as a completely relaxed state. In addition, user-defined emotional sensitivity levels can be set, allowing drivers to select a "comfort-oriented" or "energy-saving-oriented" mode in the vehicle's infotainment interface, thereby influencing the decision weight of the emotion-style mapping.

[0044] If the emotion type is "tension," it indicates that the driver is in a state of anxiety, alertness, or high stress. Typical manifestations include frequent frowning, raised eyebrows, increased blinking frequency, clenched teeth, or facial tension. This type of emotion often occurs in complex traffic environments (such as congested roads, rainy or snowy weather, and nighttime driving), easily leading to sudden acceleration or deceleration, corresponding to higher driving risks and lower energy recovery efficiency requirements. Therefore, the target driving style for this type of emotion is determined to be an aggressive driving style, thereby reducing the intensity of energy recovery, minimizing the drag caused by electric braking, and improving handling responsiveness and driving comfort.

[0045] The identification of tension types can be cross-validated using vehicle dynamic data. For example, if the micro-expression recognition result indicates a state of tension, and the vehicle continuously experiences acceleration changes greater than 2 m / s³, the confidence of this judgment is enhanced. Conversely, if the vehicle is running smoothly, it may only be a brief period of attention rather than genuine tension, and the system can delay triggering style switching to prevent frequent fluctuations from affecting control stability.

[0046] S130: Determines energy recovery regulation strategies based on target driving style and the emotional types of other occupants.

[0047] Other occupants refer to those in the front passenger seat or rear seats other than the driver. Their emotional state is monitored by cameras independently positioned on the B-pillar. In this embodiment, only motion sickness-related emotions are considered as effective emotional types affecting energy recovery regulation; other emotions such as fatigue and boredom are not included in strategy generation. The criteria for identifying motion sickness tendency include, but are not limited to: frequent swallowing movements, slight head shaking, pale complexion, furrowed brows, and twitching of the corners of the mouth, combined with changes in body posture (such as leaning against the seat or holding the forehead) for comprehensive judgment. Once a non-driver occupant is confirmed to have persistent signs of motion sickness (such as micro-expressions lasting more than 1 second and occurring ≥3 times), the corresponding intervention mechanism is triggered.

[0048] The energy recovery adjustment strategy is a set of control rules determined by the target driving style and the emotions of other occupants, guiding the direction and magnitude of subsequent energy recovery adjustments. For example, if the driver is conservative but some passengers experience motion sickness, the system prioritizes passenger comfort and implements a strategy of reducing energy recovery rather than simply increasing recovery efficiency.

[0049] S140: Adjust the energy recovery value of the vehicle based on the energy recovery adjustment strategy.

[0050] Energy recovery value refers to the proportion of energy generated by the electric motor and fed back to the battery during braking or coasting in an electric vehicle. It is usually expressed as a percentage and directly affects the vehicle's braking drag strength and range gain. The adjustment process of the energy recovery value is executed by the vehicle controller, which can dynamically adjust the torque distribution ratio of the regenerative braking system.

[0051] For example, the energy recovery adjustment strategy includes an initial energy recovery value and an adjusted energy recovery value. The vehicle's energy recovery value is adjusted to the initial energy recovery value, and then further adjusted based on the adjusted energy recovery value until the driver's target expression disappears or the vehicle's energy recovery value returns to zero.

[0052] In this example, the energy recovery adjustment value is implemented using a fixed-step adjustment mode. A fixed step means that each adjustment changes according to a preset value (i.e., the energy recovery adjustment value), such as decreasing by 5% per detection cycle. This example resets the current energy recovery intensity to its initial value to quickly establish a baseline operating condition that aligns with the current driving mood, preventing abrupt changes in experience due to excessively high or low recovery intensity. After the reset, the camera continuously captures video streams of the driver's face, analyzing whether the target expression persists and its evolution. If the target expression continues to appear, the recovery intensity is further adjusted downwards (or upwards) according to the energy recovery adjustment value; if the frequency decreases or the intensity weakens, the adjustment rate is slowed down accordingly, reflecting feedback closed-loop control logic. The adjustment process can be set with a minimum adjustment unit (e.g., 1% or 0.5%) to prevent frequent fluctuations from affecting system stability.

[0053] The adjustment process terminates in two ways: First, if the target expression (such as frowning, raised eyebrows, or other micro-expressions indicating tension) is no longer detected after several consecutive detection cycles, the driver's emotions are considered to have eased, the adjustment process ends, and the current recovery value can be maintained or gradually restored to the default level. Second, if the energy recovery value has dropped to 0% during the adjustment process, but the target expression has not disappeared, further adjustment is stopped to avoid ineffective operations, and the driver can be prompted to rest or adjust their mental state through the human-machine interface. This dual-endpoint mechanism ensures that the adjustment behavior is both sensitive and safe, taking into account both user experience and system robustness.

[0054] This embodiment identifies statistically significant target expressions from the driver's facial expressions during the detection period, infers the target driving style based on this, and then dynamically determines the energy recovery adjustment strategy by combining the emotional types of other passengers. This achieves multiple technical effects that take into account driving comfort, riding experience and range efficiency, thereby realizing a personalized driving experience that balances energy efficiency, comfort and safety.

[0055] In another exemplary embodiment of this application, a detailed description is provided of how to determine the energy recovery adjustment strategy based on the target driving style and the emotional types of other occupants. Please refer to [link to relevant documentation] for details. Figure 2 , Figure 2 Based on Figure 1 The exemplary embodiment shown illustrates a flowchart of another method for regulating vehicle energy recovery. This regulation method, in... Figure 1 The S130 shown includes S210 to S230, which are described in detail below: S210: Determine the initial energy recovery adjustment strategy based on the target driving style, and detect whether the mood type of other occupants is motion sickness during the detection period.

[0056] The initial energy recovery adjustment strategy refers to a pre-set energy recovery intensity control scheme based on the driver's current dominant driving behavior tendency (i.e., target driving style). This initial strategy serves as the basic framework for the entire adjustment process, reflecting the basic response logic to the driver's operating habits and emotional state. For example, if the target driving style is aggressive, the first preset strategy of reducing energy recovery value will be used as the initial energy recovery adjustment strategy, tending to reduce energy recovery intensity to reduce braking drag and improve handling agility. If the target driving style is conservative, the second preset strategy of increasing energy recovery value will be used as the initial energy recovery adjustment strategy, increasing energy recovery intensity to enhance energy feedback efficiency and extend driving range. The first and second preset strategies represent two opposing energy recovery control logics: the former aims to reduce energy recovery intensity, and the latter aims to increase it. The selection of these two strategies depends on the determination of the target driving style, and there is a clear mapping relationship between them: aggressive driving style triggers the first preset strategy, and conservative driving style triggers the second preset strategy. This mapping mechanism enables energy recovery control to transform from traditional static mode selection to adaptive dynamic adjustment based on driver state, enhancing the intelligence level of human-machine interaction.

[0057] The detection period is typically set to a sliding time window of 3-10 seconds to balance real-time performance and false positive rate. If a non-driver passenger exhibits more than a preset threshold (e.g., 3 times) of motion sickness-related micro-expressions within this period, and each expression lasts for more than 1 second, a motion sickness type flag is triggered. This flag serves as a key input signal for subsequent conditional judgments in strategy fusion. By monitoring changes in the facial micro-expressions of other passengers (i.e., front passenger and rear passengers), it is determined whether there are physiological characteristics related to motion sickness. The identification of motion sickness types mainly relies on specific combinations of micro-expressions and their persistence: such as frowning, eye tightening, drooping corners of the mouth, frequent swallowing movements, and head leaning against the seat without moving—non-verbal signals.

[0058] S220: If yes, then determine the energy recovery regulation strategy based on the initial energy recovery regulation strategy and the strategy adjustment method corresponding to the motion sickness type.

[0059] The strategy adjustment method corresponding to motion sickness type is essentially an emergency downgrade mechanism. Its core logic is to reduce the degree of strong electric braking intervention brought about by high energy recovery. This adjustment method can be understood as introducing a regulating factor that reduces the intensity of energy recovery.

[0060] This situation indicates that at least one other passenger is experiencing motion sickness. In this case, prioritizing passenger comfort is crucial. The initial energy recovery adjustment strategy, initially driven by driver style, should be intervened upon or modified by introducing a negative adjustment factor to forcibly reduce the intensity of energy recovery. This mitigates the jerking and inertial impact during acceleration and deceleration, alleviating vestibular system stimulation. This adjustment method embodies a multi-agent collaborative decision-making mechanism: when driver intent conflicts with passenger comfort, the latter receives greater weight.

[0061] S230: If not, then the initial energy recovery regulation strategy will be used as the energy recovery regulation strategy.

[0062] This situation indicates that no other passengers exhibited motion sickness-related emotional characteristics during the current detection period. Therefore, it is considered that the in-vehicle environment is suitable for maintaining the energy recovery settings corresponding to the original driving style, and the initial energy recovery adjustment strategy obtained based on the driver's emotion analysis is directly adopted as the energy recovery adjustment strategy.

[0063] This embodiment, while taking into account the driver's driving style, incorporates a technical approach that incorporates the ability to perceive the health status of other occupants. It not only formulates an initial energy recovery adjustment strategy based on the driver's emotional characteristics, but also corrects the strategy by detecting whether other occupants are prone to motion sickness in real time. Therefore, while ensuring range performance, it effectively reduces the risk of passenger discomfort caused by high-intensity energy recovery, significantly improving the overall driving and riding quality.

[0064] In another exemplary embodiment of this application, it is described in detail how to determine the energy recovery regulation strategy based on the initial energy recovery regulation strategy and the strategy adjustment method corresponding to the motion sickness type. Please refer to [link to relevant documentation] for details. Figure 3 , Figure 3 Based on Figure 2 The exemplary embodiment shown illustrates a flowchart of another method for regulating vehicle energy recovery. This regulation method, in... Figure 2 S220 shown includes S310 to S320; among them, the strategy adjustment method corresponding to the motion sickness type represents the reduction of energy recovery value, which is described in detail below: S310: If the initial energy recovery adjustment strategy is the first preset strategy, then increase the energy recovery value that needs to be reduced in the first preset strategy to obtain the energy recovery adjustment strategy.

[0065] The strategy for adjusting motion sickness is to reduce the current energy recovery intensity of the vehicle. As a high-priority intervention mechanism, this adjustment aims to alleviate vestibular discomfort caused by changes in acceleration and deceleration by reducing the drag sensation during braking, thereby improving passenger comfort.

[0066] The S310 characterizes a situation where, under an already aggressive driving style with low energy recovery, if motion sickness is detected, the energy recovery will be further reduced. The first preset strategy corresponds to the energy recovery suppression strategy used when the driver is tense or anxious, for example, initially setting the energy recovery value to 20% and decreasing it periodically. Based on this, "increased reduction" can be manifested by increasing the step size of each adjustment (e.g., from 5% per cycle to 8%), or increasing the adjustment frequency (e.g., from once every 2 seconds to once every 1 second), or by reaching the lower limit release condition earlier (e.g., allowing for faster entry into a zero-recovery state). This design ensures a rapid response to sudden motion sickness risks even with existing comfort optimizations.

[0067] S320: If the initial energy recovery regulation strategy is the second preset strategy, then the first preset strategy will be determined as the energy recovery regulation strategy.

[0068] The S320 characterizes a scenario where, based on a conservative driving style, the system is executing an operation to enhance energy recovery efficiency (similar to implementing the second preset strategy). If a non-driver experiences motion sickness, the efficient recovery logic is immediately terminated, forcibly switching to a low-recovery mode prioritizing comfort. The second preset strategy is typically suitable for situations where the driver is relaxed and in a pleasant mood, in which case the system tends to increase the energy recovery value to 80% or even higher to enhance range. However, when passengers show signs of motion sickness, this energy-saving goal gives way to health and comfort needs, quickly reverting to the low-recovery operating range defined by the first preset strategy. This strategy switching is not only reflected in the reset of target values ​​but also includes a complete shift in control parameters, such as altering the torque response curve, extending the coasting distance, and weakening the instantaneous feedback peak during electric braking. Furthermore, to avoid control oscillations caused by frequent switching, an anti-shake window can be set, for example, locking the strategy for 5 minutes after switching to prevent repeated jumps unless a new strong characteristic signal is input.

[0069] This embodiment realizes intelligent reconfiguration of energy recovery strategy under different driving scenarios. By introducing a motion sickness detection mechanism based on facial micro-expressions and combining it with the initial strategy state for differentiated processing, even if the driver prefers high energy recovery efficiency, it can switch to low recovery mode in time when motion sickness is detected in other passengers, effectively reducing motion sickness symptoms and improving the humanization level of the whole vehicle and the consistency of driving experience.

[0070] In another exemplary embodiment of this application, the application scenarios of the above-mentioned multiple adjustment methods are illustrated by way of example. Please refer to the following for details. Figure 4 , Figure 4 This is a schematic diagram illustrating an application scenario of the vehicle energy recovery regulation method of this application. It includes a vehicle 100 and a server 200, which can be connected wirelessly. This application does not limit the connection method between them.

[0071] Server 200 can execute any of the above adjustment methods, as illustrated below: Server 200 determines the target expression from the driver's facial expressions during the detection period; the target expression is an expression that lasts for more than a preset duration and appears more than a preset number of times; Server 200 determines the target driving style based on the emotion type represented by the target expression; Server 200 determines an energy recovery adjustment strategy based on the target driving style and the emotion types of other occupants; Server 200 adjusts the vehicle's energy recovery value based on the energy recovery adjustment strategy.

[0072] Server 200 can be a standalone physical server, or a server cluster or distributed system consisting of multiple physical servers. Multiple servers can form a blockchain, and the server is a node on the blockchain. Server 200 can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. This document does not impose any restrictions on this.

[0073] Another aspect of this application provides a regulating device for vehicle energy recovery, such as... Figure 5 As shown, Figure 5 This is a schematic diagram illustrating the structure of a vehicle energy recovery regulating device according to an exemplary embodiment of this application. The regulating device 500 includes: The expression determination module 510 is used to determine the target expression from the driver's facial expressions within the detection period; the target expression is an expression that lasts for more than a preset duration and appears more than a preset number of times.

[0074] The driving style determination module 530 is used to determine the target driving style based on the emotional type represented by the target facial expression.

[0075] The strategy determination module 550 is used to determine the energy recovery regulation strategy based on the target driving style and the emotional type of other occupants.

[0076] The adjustment module 570 is used to adjust the energy recovery value of the vehicle based on the energy recovery adjustment strategy.

[0077] In another exemplary embodiment, the strategy determination module 550 includes: The style and emotion detection unit is used to determine the initial energy recovery adjustment strategy based on the target driving style and to detect whether the emotion type of other occupants is motion sickness during the detection period.

[0078] The first determining unit is used to determine the energy recovery adjustment strategy based on the initial energy recovery adjustment strategy and the strategy adjustment method corresponding to the motion sickness type, if the condition is met.

[0079] The second determining unit is used to determine the initial energy recovery regulation strategy as the energy recovery regulation strategy if the condition is not met.

[0080] In another exemplary embodiment, the emotion detection unit includes: The aggressive driving style detection module is used to implement a first preset strategy of reducing energy recovery value as the initial energy recovery adjustment strategy if the target driving style is aggressive driving style.

[0081] The conservative driving style detection module is used to use a second preset strategy that increases the energy recovery value as the initial energy recovery adjustment strategy if the target driving style is conservative.

[0082] In another exemplary embodiment, the strategy adjustment method corresponding to the motion sickness type represents a reduction in energy recovery value; the first determining unit includes: The first energy recovery adjustment strategy module is used to increase the energy recovery value that needs to be reduced in the first preset strategy if the initial energy recovery adjustment strategy is the first preset strategy, so as to obtain the energy recovery adjustment strategy.

[0083] The second energy recovery and regulation strategy module is used to determine the first preset strategy as the energy recovery and regulation strategy if the initial energy recovery and regulation strategy is the second preset strategy.

[0084] In another exemplary embodiment, the energy recovery regulation strategy includes an initial energy recovery value and an energy recovery regulation value; the regulation module 570 includes: The adjustment unit is used to adjust the vehicle's energy recovery value to the initial energy recovery value, and adjust the vehicle's energy recovery value based on the energy recovery adjustment value until the driver's target expression disappears or the vehicle's energy recovery value returns to zero.

[0085] In another exemplary embodiment, the driving style determination module 530 includes: The conservative driving style determination unit is used to determine the target driving style as conservative if the emotional type represented by the target's facial expression is the soothing type.

[0086] The aggressive driving style determination unit is used to determine the target driving style as aggressive if the emotional type represented by the target's facial expression is tension.

[0087] In another exemplary embodiment, the adjusting device 500 further includes: The trigger detection module is used to detect whether the vehicle is in motion and whether the energy recovery adjustment function is activated.

[0088] The acquisition module is used to acquire facial video streams of the driver and other passengers when the vehicle is in motion and the energy recovery adjustment function is activated, so as to extract the facial expressions of the driver and other passengers.

[0089] The adjustment device in this application identifies statistically significant target expressions from the driver's facial expressions during the detection period, infers the target driving style based on this, and then dynamically determines the energy recovery adjustment strategy by combining the emotional types of other occupants. This achieves multiple technical effects that take into account driving comfort, riding experience and range efficiency, thereby realizing a personalized driving experience that balances energy efficiency, comfort and safety.

[0090] It should be noted that the adjustment device provided in the above embodiments and the adjustment method provided in the foregoing embodiments belong to the same concept. The specific way in which each module and unit performs operations has been described in detail in the method embodiments, and will not be repeated here.

[0091] Another aspect of this application provides an electronic device, including: a controller; and a memory for storing one or more programs, which, when executed by the controller, perform the above-described regulation method.

[0092] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a computer system for an electronic device according to an exemplary embodiment of this application, illustrating a schematic diagram of the structure of a computer system suitable for implementing the embodiments of this application.

[0093] It should be noted that, Figure 6 The computer system 600 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0094] like Figure 6 As shown, the computer system 600 includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, based on programs stored in Read-Only Memory (ROM) 602 or programs loaded from storage portion 608 into Random Access Memory (RAM) 603. The RAM 603 also stores various programs and data required for system operation. The CPU 601, ROM 602, and RAM 603 are interconnected via a bus 604. An Input / Output (I / O) interface 605 is also connected to the bus 604.

[0095] The following components are connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 610 as needed so that computer programs read from it can be installed into storage section 608 as needed.

[0096] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by central processing unit (CPU) 601, it performs various functions defined in the system of this application.

[0097] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. The transmitted data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0098] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0099] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0100] Another aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned adjustment method. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not incorporated into the electronic device.

[0101] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the adjustment methods provided in the various embodiments described above.

[0102] According to one aspect of the embodiments of this application, a computer system is also provided, including a Central Processing Unit (CPU), which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) or a program loaded from storage into random access memory (RAM), such as performing the methods described above. Various programs and data required for system operation are also stored in the RAM. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0103] The following components are connected to the I / O interface: input components including keyboards, mice, etc.; output components including cathode ray tubes (CRTs), liquid crystal displays (LCDs), and speakers; storage components including hard drives; and communication components including network interface cards such as LAN (Local Area Network) cards and modems. The communication components perform communication processing via networks such as the Internet. Drives are also connected to the I / O interface as needed. Removable media, such as disks, optical discs, magneto-optical discs, semiconductor memories, etc., are installed on the drive as needed so that computer programs read from them can be installed into the storage components as required.

[0104] The above description is merely a preferred exemplary embodiment of this application and is not intended to limit the implementation of this application. Those skilled in the art can easily make corresponding modifications or alterations based on the main concept and spirit of this application. Therefore, the scope of protection of this application should be determined by the scope of protection claimed in the claims.

Claims

1. A method of regulating energy recovery of a vehicle, characterized by, The adjusting method comprises: determining a target expression from facial expressions of the driver in a detection period; the target expression is an expression with a duration longer than a preset duration and an occurrence frequency higher than a preset frequency; determining a target driving style according to an emotion type represented by the target expression; determining an energy recovery adjusting strategy according to the target driving style and emotion types of other passengers; adjusting an energy recovery value of the vehicle based on the energy recovery adjusting strategy.

2. The method of claim 1, wherein, determining an energy recovery adjusting strategy according to the target driving style and emotion types of other passengers comprises: determining an initial energy recovery adjusting strategy according to the target driving style, and detecting whether the emotion types of other passengers in the detection period are car sickness types; if yes, determining the energy recovery adjusting strategy according to the initial energy recovery adjusting strategy and an adjusting mode corresponding to the car sickness types; if no, taking the initial energy recovery adjusting strategy as the energy recovery adjusting strategy.

3. The method of claim 2, wherein the step of adjusting comprises, determining an initial energy recovery adjusting strategy according to the target driving style comprises: if the target driving style is an aggressive driving style, taking a first preset strategy of reducing the energy recovery value as the initial energy recovery adjusting strategy; if the target driving style is a conservative driving style, taking a second preset strategy of increasing the energy recovery value as the initial energy recovery adjusting strategy.

4. The method of claim 3, wherein the step of adjusting comprises, the adjusting mode corresponding to the car sickness types represents reducing the energy recovery value; determining the energy recovery adjusting strategy according to the initial energy recovery adjusting strategy and the adjusting mode corresponding to the car sickness types comprises: if the initial energy recovery adjusting strategy is the first preset strategy, increasing the energy recovery value required to be reduced in the first preset strategy to obtain the energy recovery adjusting strategy; if the initial energy recovery adjusting strategy is the second preset strategy, taking the first preset strategy as the energy recovery adjusting strategy.

5. The method of claim 1, wherein the step of adjusting comprises: the energy recovery adjusting strategy comprises an initial energy recovery value and an energy recovery adjusting value; adjusting the energy recovery value of the vehicle based on the energy recovery adjusting strategy comprises: adjusting the energy recovery value of the vehicle to the initial energy recovery value, and adjusting the energy recovery value of the vehicle based on the energy recovery adjusting value until the target expression of the driver disappears or the energy recovery value of the vehicle is zero.

6. The adjustment method according to any one of claims 1 to 5, characterized in that, determining a target driving style according to an emotion type represented by the target expression comprises: if the emotion type represented by the target expression is a relaxed type, determining the target driving style as a conservative driving style; if the emotion type represented by the target expression is a nervous type, determining the target driving style as an aggressive driving style.

7. The adjustment method according to any one of claims 1 to 5, characterized in that, The adjusting method further comprises: detecting whether the vehicle is in a running state and whether the energy recovery adjusting function is enabled; if the vehicle is in the running state and the energy recovery adjusting function is enabled, collecting facial video streams of the driver and other passengers to extract facial expressions of the driver and other passengers.

8. A regulating device for vehicle energy recovery, characterized in that, The adjusting device comprises: The expression determining module is configured to determine a target expression from the facial expressions of the driver in the detection period; the target expression is an expression that is maintained for a duration longer than a preset duration and appears for a number of times greater than a preset number of times; The driving style determining module is configured to determine a target driving style according to the emotional type represented by the target expression; The strategy determining module is configured to determine an energy recovery adjustment strategy according to the target driving style and the emotional types of other passengers; The adjustment module is configured to adjust the energy recovery value of the vehicle based on the energy recovery adjustment strategy.

9. An electronic device, comprising: The method comprises: A controller; A memory configured to store one or more programs, which, when executed by the controller, cause the controller to implement the adjustment method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer-readable instruction is stored thereon, which, when executed by a processor of a computer, causes the computer to perform the adjustment method of any one of claims 1 to 7.

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