Automobile charging method, device, equipment and storage medium

Abstract

The application discloses a kind of automobile charging method, device, equipment and storage medium, wherein method includes: in response to the behavior and the sign of detected driver, determine the remaining power of automobile, according to the remaining power of automobile, determine the nearest charging place, if charging place meets the condition of making the driver physiological recovery, then the charging place is taken as target place.The automobile charging method in the application finds the charging place that can provide physiological recovery condition for the driver when the driver is in the state that is not suitable to continue driving by the behavior and the sign of driver, provides physiological recovery for the driver using charging time, can improve driving experience in long-distance driving process, and effectively avoid that driver physiological state affects driving safety.

Description

Technical Field

[0001] This invention relates to the field of automobile charging technology, and in particular to an automobile charging method, apparatus, device, and storage medium. Background Technology

[0002] During long-distance driving, a driver's physiological state directly affects driving decisions. Hunger and / or fatigue can impair a driver's ability to judge the traffic environment, increasing the likelihood of accidents. These negative physiological states can also affect the driver's driving experience.

[0003] During long-distance driving, new energy vehicles are limited by their range and need to plan their charging. Existing technologies often plan charging stations along the driving route based on the vehicle's range. This route planning method can avoid insufficient power for new energy vehicles during long-distance driving and effectively alleviate the driver's battery anxiety. However, existing long-distance route planning technologies do not make effective use of charging time and do not consider the impact of the driver's physiological state on driving safety. Summary of the Invention

[0004] In view of the above-mentioned defects or improvement needs of the prior art, the purpose of the present invention is to provide a car charging method, device, equipment and storage medium.

[0005] To achieve this objective, the present invention adopts the following technical solution:

[0006] This invention provides a method for charging a car, comprising the following steps:

[0007] In response to detected driver behavior and vital signs, determine the vehicle's remaining battery power;

[0008] When the driver is detected to be in the first state, if it is determined that the car needs to be charged based on the remaining battery power, the nearest charging location is determined as follows:

[0009] Determine the vehicle's remaining driving distance based on its remaining battery power, and use the vehicle's navigation system to find a charging station within the vehicle's remaining driving distance range, starting from the current location.

[0010] Determine the initial distance from the current location to each charging station;

[0011] The shortest path from the current location to the destination in the original driving route is determined according to the Dijkstra algorithm, and the second distance is calculated based on the shortest path;

[0012] The shortest path from each charging station to the destination in the original driving route is determined according to the Dijkstra algorithm, and the third distance is calculated based on the shortest path.

[0013] Based on the second distance, the first distance, and the third distance of each charging station, determine the deviation coefficient of each charging station:

[0014] ;

[0015] Based on the initial distance and deviation coefficient of each charging station, the final distance of each charging station is determined, and the charging station with the shortest final distance is taken as the nearest charging location.

[0016] The formula for calculating the final distance between each charging station is as follows:

[0017] ;

[0018] in, For the first The final distance between charging stations, For the first The first distance to each charging station The second distance, For the first The third distance of each charging station, For the first Deviation coefficient of each charging station;

[0019] If the charging location meets the conditions for the driver's physiological recovery, then the charging location will be designated as the target location.

[0020] Furthermore, determining that the driver is in a first state in response to detected driver behavior and vital signs includes:

[0021] Read the driver's voice content and determine that the voice content contains preset keywords.

[0022] Furthermore, the condition that the charging location meets the requirements for the driver's physiological recovery includes:

[0023] The charging location is confirmed to have facilities that allow the driver to recover physiologically.

[0024] Based on the facility's operating hours, determine the estimated time of arrival at the charging location during those operating hours;

[0025] If the service capacity of the facility meets the preset value, it is determined that the facility meets the conditions for the driver to recover physiologically.

[0026] Furthermore, if the service capacity of the facility meets a preset value, determining that the facility meets the conditions for the driver's physiological recovery includes:

[0027] The estimated time is less than the current time threshold, and the service waiting time is less than the preset value.

[0028] Furthermore, if the service capacity of the facility meets the preset value, determining that the facility meets the conditions for the driver's physiological recovery includes: if the estimated time is greater than the current time and the service waiting time is greater than the preset value, then a reservation request is sent to the facility.

[0029] Furthermore, if the charging location does not meet the conditions for the driver's physiological recovery, then within the range reachable by the remaining battery power, charging locations that meet the conditions for the driver's physiological recovery are selected, and the nearest charging location among them is taken as the target location.

[0030] The present invention also provides an automobile charging device, characterized in that it comprises:

[0031] The first module is used to detect the driver's behavior and vital signs and determine the driver's first state based on the driver's behavior and vital signs;

[0032] The second module is used to determine the nearest charging location based on the car's remaining battery power, as detailed below:

[0033] Determine the vehicle's remaining driving distance based on its remaining battery power, and use the vehicle's navigation system to find a charging station within the vehicle's remaining driving distance range, starting from the current location.

[0034] Determine the initial distance from the current location to each charging station;

[0035] The shortest path from the current location to the destination in the original driving route is determined according to the Dijkstra algorithm, and the second distance is calculated based on the shortest path;

[0036] The shortest path from each charging station to the destination in the original driving route is determined according to the Dijkstra algorithm, and the third distance is calculated based on the shortest path.

[0037] Based on the second distance, the first distance, and the third distance of each charging station, determine the deviation coefficient of each charging station:

[0038] ;

[0039] Based on the initial distance and deviation coefficient of each charging station, the final distance of each charging station is determined, and the charging station with the shortest final distance is taken as the nearest charging location.

[0040] The formula for calculating the final distance between each charging station is as follows:

[0041] ;

[0042] in, For the first The final distance between charging stations, For the first The first distance to each charging station The second distance, For the first The third distance of each charging station, For the first Deviation coefficient of each charging station;

[0043] The third module is used to confirm that the operating status of the charging location meets the conditions for the driver to recover physiologically.

[0044] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the aforementioned car charging method.

[0045] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the aforementioned car charging method.

[0046] The beneficial effects of this invention are:

[0047] In the car charging method of this invention, if it is determined from the driver's behavior and physical signs that the driver is in a state where he is not suitable to continue driving, a charging location that can provide physiological recovery conditions for the driver is found, and the charging time is used to provide physiological recovery for the driver. This can improve the driving experience during long-distance driving and effectively avoid the driver's physiological state from affecting driving safety.

[0048] Additional aspects and advantages of this application will be set forth in part in the description which follows, and will become apparent from the description or may be learned by practice of this application. Attached Figure Description

[0049] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0050] Figure 1 This is a flowchart of the car charging method of the present invention;

[0051] Figure 2 This is a diagram showing the relationship between the battery open-circuit voltage and the remaining battery capacity in an embodiment of the present invention.

[0052] Figure 3 This is a schematic diagram illustrating the determination of the nearest charging location in an embodiment of the present invention;

[0053] Figure 4 This is a schematic diagram of a specific implementation scenario of an embodiment of the present invention;

[0054] Figure 5 This is a schematic diagram of the car charging device of the present invention;

[0055] Figure 6 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0056] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0057] In the description of this invention, unless otherwise explicitly specified and limited, the terms "connected," "linked," and "fixed" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0058] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the word “comprising” as used in the specification of this application means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or combinations thereof.

[0059] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as in the embodiments of this application.

[0060] This embodiment provides a vehicle charging method, device, equipment, and storage medium applicable to Intelligent Transportation Systems (ITS).

[0061] Intelligent Transportation Systems (ITS) encompass numerous subsystems, including Advanced Driver Assistance Systems (ADAS), traffic management systems, traveler information systems, and vehicle control and safety systems. All of these systems are directly related to the human-vehicle environment. Drivers are direct participants and decision-makers in the operation of the transportation system, and the rationality and correctness of their decisions are crucial for the safe, efficient, and stable operation of the system. However, due to limitations in drivers' physiological state and cognition, it is often difficult for them to maintain a high level of alertness throughout the driving process, thus hindering the optimization of all their driving decisions and controls. Therefore, utilizing intelligent identification algorithms or related products and technologies to identify undesirable driving conditions in real time, accurately, and at low cost, and using appropriate facilities to improve these conditions, is key to enhancing the intelligence and safety of transportation systems. This not only effectively reduces traffic accidents and improves driving safety but also enhances the driver's experience.

[0062] Artificial intelligence (AI) is the theory, methods, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to achieve optimal results. AI software technology mainly includes computer vision, speech processing, natural language processing, and machine learning / deep learning. The car charging method provided in this application is an application of computer vision and speech processing in intelligent transportation systems within the framework of artificial intelligence technology.

[0063] This embodiment provides a car charging method, the flowchart of which is shown below. Figure 1 As shown, it includes steps S10-S40.

[0064] S10. In response to the detected driver's behavior and signs, determine the remaining battery power of the vehicle.

[0065] Specifically, step S10 includes determining that the driver is in a first state based on the driver's behavior and physical signs.

[0066] In this embodiment, the vehicle is equipped with a behavior detection device capable of detecting driver behavior and a physiological information detection device capable of detecting vital signs. Through the behavior detection device and the physiological information detection device, the driver is determined to be in a first state, which refers to a state deemed by relevant technical personnel as unsuitable for continued driving. For example, an unsuitable state for continued driving could be a state of hunger, a state of drowsiness, or an adverse state affecting driving decisions detected by the behavior detection device and the physiological information detection device. It is understood that the first state can be one or more of the aforementioned states of unsuitable driving.

[0067] In this embodiment, the driver's behavior and physical signs determine whether the driver is hungry or drowsy, and a charging location that can provide food or rest for the driver is found accordingly. This can improve the driving experience during long-distance driving and effectively avoid the impact of hunger or drowsiness on driving safety.

[0068] Further, in step S10, determining that the driver is in a first state in response to detected driver behavior and vital signs includes:

[0069] Read the driver's voice content and determine if the voice content contains preset keywords.

[0070] It should be noted that acquiring driver behavior includes acquiring the driver's body language and / or voice in the vehicle. For example, acquiring the driver touching their stomach and speaking can help determine if the driver is in a primary state (hunger).

[0071] This embodiment uses a voice recognition device to acquire the driver's voice. The vehicle is equipped with a voice recognition device that can read and analyze the driver's voice content in real time. If the voice content contains preset keywords, the driver is determined to be in a first state. In this embodiment, based on the definition of a state unsuitable for continued driving, preset keywords are used.

[0072] For example, if the driver is in the first state, meaning the driver is hungry, the preset keywords are words that indicate the driver is hungry, such as "hungry," "what to eat," or other words that indicate the driver is hungry. For instance, when the driver says in the car, "I'm hungry, are you hungry? What do you want to eat later?" the voice recognition device in the car detects the preset keywords "hungry" and "what to eat," and thus determines that the driver is hungry.

[0073] For example, if the driver is in the first state, meaning the driver is drowsy, the preset keywords are words that indicate the driver is drowsy, such as "sleepy," "sleep," or other words that indicate the driver is drowsy. For instance, when the driver says in the car, "I'm so sleepy, do you want to sleep in a bit?" the voice recognition device in the car detects the preset keywords "sleepy" and "sleep," and thus determines that the driver is drowsy.

[0074] This embodiment uses an in-vehicle camera to acquire the driver's body movements. The in-vehicle camera can capture, extract, and analyze the driver's body movements. When the driver's body movements at a certain moment or within a certain time interval match preset body characteristics, the driver is determined to be in a first state. In this embodiment, based on the definition of an unsuitable state for continuing to drive, preset threshold-related body characteristics are used.

[0075] For example, if the driver is in a drowsy state (first state), the preset body characteristics are physical actions that indicate the driver's drowsiness. These could be, for instance, the number of noddings exceeding a first threshold within a certain time period, the number of yawns exceeding a second threshold within a certain time period, or other body characteristics that indicate drowsiness. For example, if the driver nods 10 times in 1 minute (assuming the preset body characteristic is more than 8 nods in 1 minute), the in-vehicle camera detects the preset body characteristic—the number of nods exceeding the first threshold within a certain time period—and thus determines that the driver is drowsy.

[0076] In step S10, determining that the driver is in the first state based on the driver's behavior and physical signs also includes reading the driver's physical signs, such as blood sugar, blood pressure, and facial expression.

[0077] In this embodiment, the vehicle-mounted camera can also acquire and analyze the driver's facial expressions. When the driver's facial expression matches preset facial features at a certain moment or within a certain time interval, the driver is determined to be in a first state. In this embodiment, based on the definition of a state where driving is not advisable, preset facial features are used.

[0078] For example, if the driver is in a drowsy state, the preset facial features represent the driver's drowsy state. For instance, the percentage of time the driver spends with their eyes closed exceeds a preset parameter, or the duration of eye closure exceeds a first time threshold. For example, if the driver's continuous eye closure exceeds 5 seconds (when the first time threshold is 5 seconds), the vehicle camera detects the preset facial features (continuous eye closure exceeding the first time threshold), thus determining that the driver is drowsy.

[0079] Understandably, if the vehicle-mounted equipment allows, the driver's vital signs in this embodiment can also be set to EEG signals and ECG signals, etc. In this case, it can be determined whether the driver is in the first state based on the EEG signals and ECG signals.

[0080] In this embodiment, determining whether the driver is in the first state based on the driver's behavior and vital signs can be achieved by the vehicle. Specifically, the vehicle uses its own computer equipment to determine whether the driver's physiological state is in the first state based on behavioral and vital sign information obtained from behavioral detection equipment and biometric detection equipment.

[0081] For example, in a car, the voice recognition device reads the voice content and the video content captured by the in-vehicle camera device. The vehicle system then uses preset keywords, preset body features, and preset facial features to determine whether the driver's physiological state meets the first state.

[0082] In this embodiment, determining the driver's first state based on their behavior and vital signs can also be achieved through a cloud platform. Specifically, the behavior detection device and the biometric detection device are connected to the cloud platform via the Internet of Vehicles, thereby enabling the determination of the driver's physiological state through the cloud platform. The cloud platform can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing 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, content delivery networks (CDNs), big data, and artificial intelligence platforms.

[0083] For example, behavioral detection devices and biometric detection devices transmit the collected voice and video content to a cloud platform via the Internet of Vehicles (or a network). The cloud platform then determines whether the driver is in the first state based on the collected voice and video content and sends the judgment result back to the car via the Internet of Vehicles (or a network).

[0084] Step S10 also includes determining the remaining battery power of the vehicle. The remaining battery power needs to be calculated after determining that the driver is in the first state based on the driver's behavior and physical signs.

[0085] In this embodiment, the remaining battery power of the vehicle is calculated based on the open-circuit voltage method.

[0086] Specifically, the open-circuit voltage method primarily determines the remaining battery capacity based on the battery's open-circuit voltage. Generally, there is a certain correlation between the battery's open-circuit voltage and its remaining capacity. When calculating the remaining battery capacity using the open-circuit voltage method, a calibration experiment can be conducted to obtain the correlation between a specific battery open-circuit voltage and the remaining battery capacity. Then, based on this correlation and the current battery open-circuit voltage, the remaining battery capacity can be estimated, thus determining the vehicle's remaining capacity.

[0087] For example, Figure 2 This is a graph showing the relationship between the open-circuit voltage and the remaining battery capacity of a battery at different charge / discharge rates. As can be seen, the open-circuit voltage decreases as the remaining battery capacity decreases. In actual driving, the remaining battery capacity of the car can be calculated in real time based on the charge / discharge rate, the open-circuit voltage, and this graph.

[0088] It should be noted that after determining the remaining battery power of the vehicle in this embodiment, it is determined whether the vehicle needs to be charged based on the remaining battery power. If so, step S20 is executed. Various methods can be used to determine whether the vehicle needs to be charged based on the remaining battery power. For example, the charging method in this embodiment can set a battery power threshold; if the remaining battery power is lower than the threshold, it is determined that the vehicle needs to be charged. Another example is to determine whether the remaining battery power is sufficient to reach the intended destination based on the remaining battery power and the driving range model; if not, it is determined that the vehicle needs to be charged.

[0089] S20. Determine the nearest charging location based on the vehicle's remaining battery power.

[0090] In this embodiment, when the driver is detected to be in the first state, if it is determined that the car needs to be charged based on the remaining battery power, the nearest charging location is determined based on the current location and the original driving route.

[0091] Specifically, a diagram showing the nearest charging location is shown below. Figure 3 As shown, the steps to determine the nearest charging location include:

[0092] Determine the vehicle's remaining driving distance based on its remaining battery power, and use the vehicle's navigation system to find a charging station within the vehicle's remaining driving distance range, starting from the current location.

[0093] Determine the initial distance from the current location to each charging station;

[0094] The shortest path from the current location to the destination in the original driving route is determined according to the Dijkstra algorithm, and the second distance is calculated based on the shortest path;

[0095] The shortest path from each charging station to the destination in the original driving route is determined according to the Dijkstra algorithm, and the third distance is calculated based on the shortest path.

[0096] Based on the second distance, the first distance, and the third distance of each charging station, determine the deviation coefficient of each charging station:

[0097] ;

[0098] Based on the initial distance and deviation coefficient of each charging station, the final distance of each charging station is determined, and the charging station with the shortest final distance is taken as the nearest charging location.

[0099] The formula for calculating the final distance between each charging station is as follows:

[0100] ;

[0101] in, For the first The final distance between charging stations, For the first The first distance to each charging station The second distance, For the first The third distance of each charging station, For the first Deviation coefficient of each charging station.

[0102] S30. If the nearest charging location meets the conditions for the driver's physiological recovery, then the charging location shall be designated as the target location.

[0103] It is understandable that after determining the nearest charging location in step S20, it is also necessary to determine whether that nearest charging location meets the conditions for the driver's physiological recovery, thereby utilizing the charging time to provide physiological recovery for the driver. Specifically, the conditions for the charging location to meet the driver's physiological recovery include:

[0104] The charging location is confirmed to have facilities that allow the driver to recover physiologically.

[0105] Determine the estimated time to reach the charging location during the facility's operating hours;

[0106] If the facility's service capacity meets the preset value, it is determined that the facility meets the conditions for the driver's physiological recovery.

[0107] Among them, the service capacity of the facility meets the preset values, including the estimated time distance from the current time being less than the preset time threshold, and the service waiting time being less than the preset value.

[0108] For example, if the driver is determined to be in a state of hunger based on their behavior and physical signs (determining the driver to be in the first state), and the nearest charging location is determined based on the remaining battery power of the vehicle, then the following steps are used to determine whether the nearest charging location meets the conditions for the driver's physiological recovery:

[0109] Step 1: Determine if the charging location has catering facilities (the facilities that help the driver recover physiologically when hungry are pre-defined as catering facilities).

[0110] It is understood that in this embodiment, the presence of catering facilities at the charging location can be determined through in-vehicle navigation or by using third-party software. The presence of catering facilities at the charging location can mean that catering facilities are located within the charging location itself, or that catering facilities are located within a preset distance from the charging location. For example, if the car is traveling on a highway and the nearest charging location is a service area with catering facilities, then the charging location meets the requirement of having catering facilities. If the car is traveling on a city road and the nearest charging location is a public parking lot, and while the parking lot itself does not have catering facilities, catering facilities are located within 500 meters (the preset distance is 500 meters), then the charging location also meets the requirement of having catering facilities.

[0111] Step 2: Calculate the estimated time to reach the charging location and the travel time. If the estimated time to reach the charging location is within the operating hours, then the facility is deemed to meet the conditions for the driver's physiological recovery.

[0112] Specifically, the vehicle navigation system determines the driving route from the current location to the nearest charging point and obtains the current road conditions. Based on the driving route, current road conditions, and driving conditions, the estimated time and travel time to the nearest charging point are determined, thus confirming that the estimated time of arrival at the nearest charging point falls within the operating hours of the aforementioned catering facilities. It is understood that the nearest charging point may contain multiple catering facilities, and if at least one of these facilities operates within the estimated time, then the catering facility at the nearest charging point satisfies the condition that the estimated time of arrival at the charging point falls within its operating hours. As a feasible implementation method, this embodiment can determine the operating hours of catering facilities by accessing data from map software.

[0113] Step 3: If the estimated time is less than the current time threshold and the service waiting time is less than the preset value.

[0114] For example, relevant technicians set a preset time threshold of 30 minutes and a preset service waiting time of 20 minutes. Under this premise, if the estimated time is less than the preset time threshold, that is, the travel time determined in step two is less than 30 minutes and the service waiting time is less than 20 minutes, then the driver can enjoy the relevant catering service without a long wait after arriving at the catering facility. In this case, the catering facility is determined to meet the conditions for the driver to recover physiologically.

[0115] Furthermore, if the estimated time is greater than a preset time threshold and the service waiting time is greater than a preset value, a reservation request is sent to the facility.

[0116] For example, relevant technicians set a preset time threshold of 30 minutes and a preset service waiting time of 20 minutes. Under this premise, if the estimated time is greater than the preset time threshold (i.e., the travel time determined in step two is greater than 30 minutes, and the service waiting time is greater than 20 minutes), a reservation request can be sent to the catering facility so that the driver can enjoy the relevant catering service upon arrival. As another example, if the driver is determined to be drowsy based on their behavior and physical signs (determining the driver is in the first state), and the nearest charging location is determined based on the car's remaining battery power, the following steps are used to determine whether the nearest charging location meets the conditions for the driver's physiological recovery:

[0117] Step 1: Determine if the charging location has rest facilities (rest facilities are the facilities that allow the driver to recover physiologically when drowsy).

[0118] It is understood that in this embodiment, the availability of rest facilities at the charging location can be determined through in-vehicle navigation or by using third-party software. The availability of rest facilities at the charging location can be defined as either having facilities within the charging location itself or having facilities within a preset distance. For example, if the car is traveling on a highway and the nearest charging location is a service area with rest facilities, then the charging location meets the requirement of having rest facilities. If the car is traveling on urban roads and the nearest charging location is a public parking lot, and while the parking lot itself does not have rest facilities, rest facilities are available within 500 meters (when the preset distance is 500 meters), then the charging location also meets the requirement of having rest facilities.

[0119] Step 2: Calculate the estimated time to reach the charging location and the travel time, and ensure that the estimated time to reach the charging location falls within business hours.

[0120] Specifically, the vehicle navigation system determines the driving route from the current location to the nearest charging point and obtains the current road conditions. Based on the driving route, current road conditions, and driving conditions, the estimated time and travel time to the nearest charging point are determined, thus confirming that the estimated time of arrival at the nearest charging point falls within the operating hours of the aforementioned rest facility. It is understood that the nearest charging point may have multiple rest facilities, and if at least one rest facility's operating hours match the estimated time, then the rest facility at the nearest charging point satisfies the condition that the estimated time of arrival at the charging point falls within its operating hours. As a feasible implementation, this embodiment can determine the operating hours of the rest facilities by calling data from map software.

[0121] Step 3: If the estimated time is less than the current time threshold and the service waiting time is less than the preset value, then the facility is determined to meet the conditions for the driver to recover physiologically.

[0122] For example, relevant technicians set a preset time threshold of 30 minutes and a preset service waiting time of 20 minutes. Under this premise, if the estimated time is less than the preset time threshold (i.e., the travel time determined in step two is less than 30 minutes, and the service waiting time is less than 20 minutes), then the driver can enjoy the rest service without a long wait upon arrival at the rest facility. Therefore, the rest facility is deemed to meet the conditions for the driver's physiological recovery. It is understandable that if the rest facility is a hotel or similar establishment, it cannot provide rest services if it is fully booked. In this case, if the service waiting time exceeds the preset value, it can be determined that the rest facility cannot meet the conditions for the driver's physiological recovery, and no further reservation will be made.

[0123] After determining the nearest charging location that meets the conditions for the driver's physiological recovery through the above steps, that charging location will be used as the target location.

[0124] S40. If the charging location does not meet the conditions for the driver's physiological recovery, then within the range that the remaining battery power can reach, select the charging location that meets the conditions for the driver's physiological recovery, and take the nearest charging location as the target location.

[0125] In this embodiment, if the nearest charging location determined in step S20 does not meet the conditions for the driver's physiological recovery, then charging stations that meet the conditions for the driver's physiological recovery are selected from the charging stations within the driving distance range of the vehicle's remaining battery power determined in step S20, and the charging station with the shortest final distance is selected as the target location.

[0126] It is understood that the target location in this embodiment must be a charging location that can meet the physiological recovery conditions of the driver, so as to provide physiological recovery for the driver during the charging time, thereby improving the driving experience during long-distance driving and effectively avoiding the impact of the driver's physiological state on driving safety.

[0127] Figure 4 This is a schematic diagram of a specific implementation scenario of this embodiment. During a long-distance drive, at 13:27, the driver says in the car, "I'm hungry, are you hungry? What do you want to eat later?" The voice recognition device in the car detects the preset keywords "hungry" and "what to eat," thus determining that the driver is hungry. At this time, the remaining battery power of the car is calculated, and based on the remaining battery power of 37% (below the battery threshold of 45%), it is determined that the car needs to be charged.

[0128] Then, the voice recognition device sends the judgment result that "the driver is hungry" to the car controller. The car controller controls the in-vehicle voice broadcast to send a reminder message, saying "We have detected that you are hungry. Do you want to go to the charging station and rest?" After the driver confirms by voice, the car controller plans the charging location.

[0129] Furthermore, the in-car navigation system locates the nearest charging point as a service area based on the car's remaining battery power. (See [link to relevant documentation]). Figure 4 At this point, the service area is on the original driving route. The vehicle controller uses third-party software to determine that there are multiple catering facilities in the service area and obtains relevant information about these facilities. It then determines that some of these facilities are open 24 hours a day and require no waiting. Based on the current road conditions and driving conditions, the estimated arrival time at the service area is determined to be 13:49, with a travel time of 22 minutes. Therefore, the vehicle controller determines that the service area meets the conditions for the driver's physiological recovery and sets it as the target location.

[0130] Furthermore, the vehicle controller determines the driving route from the current location to the target location based on the in-vehicle navigation, displays the driving route on the in-vehicle screen, and provides navigation services to the driver through the in-vehicle navigation system. Ultimately, the vehicle arrives at the service area for charging and provides an environment for the driver to replenish food and drink. The charging time allows the driver to recover physiologically, which can improve the driving experience during long-distance driving and effectively prevent the driver's physiological state from affecting driving safety.

[0131] This embodiment also provides a car charging device, as shown in the schematic diagram below. Figure 5 As shown, it includes a first module 51, a second module 52, and a third module 53.

[0132] The first module 51 is used to detect the driver's behavior and vital signs and determine the driver's first state based on the driver's behavior and vital signs.

[0133] The second module 52 is used to determine the nearest charging location based on the remaining battery power of the vehicle.

[0134] The third module 53 is used to confirm that the operating status of the charging location meets the conditions for the driver's physiological recovery.

[0135] It should be noted that the car charging device provided in this embodiment can also be a computer program (including program code) running on a computer device. For example, the car charging device is an application program that can be used to execute the corresponding steps in the methods provided in the embodiments of this application.

[0136] In some feasible implementations, the car charging device provided in this embodiment can be implemented using a combination of hardware and software. As an example, the car charging device in this application embodiment can be a processor in the form of a hardware decoding processor, which is programmed to execute the car charging method provided in this application embodiment. For example, the processor in the form of a hardware decoding processor can be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0137] In some feasible implementations, the car charging device provided in this embodiment can be implemented in software, which can be software in the form of programs and plug-ins, and includes a series of modules to implement the car charging method provided in this embodiment of the invention.

[0138] The car charging device provided in this embodiment determines the remaining battery power of the car in response to detected driver behavior and physical signs; it then determines the nearest charging location based on the remaining battery power; if the charging location meets the conditions for the driver's physiological recovery, it is designated as the target location. When the driver's behavior and physical signs determine that the driver is in a state unsuitable for continued driving, the device searches for a charging location that can provide physiological recovery conditions for the driver, utilizing the charging time to allow for this recovery. This not only improves the driving experience during long-distance driving but also effectively prevents the driver's physiological state from affecting driving safety.

[0139] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the car charging method of this embodiment.

[0140] Figure 6 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application, such as... Figure 6As shown, the electronic device 1000 in this embodiment may include: a processor 1001, a network interface 1004, and a memory 1005. Furthermore, the electronic device 1000 may also include: a user interface 1003, and at least one communication bus 1002. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM or non-volatile memory, such as at least one disk storage device. Optionally, the memory 1005 may also be at least one storage device located remotely from the aforementioned processor 1001. Figure 6 As shown, the memory 1005, which is a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and a device control application.

[0141] like Figure 6 In the illustrated electronic device 1000, the network interface 1004 provides network communication functionality; the user interface 1003 primarily provides an input interface for the user; and the processor 1001 can be used to call the device control application stored in the memory 1005 to achieve:

[0142] In response to detected driver behavior and vital signs, determine the vehicle's remaining battery power;

[0143] Determine the nearest charging location based on the car's remaining battery power;

[0144] If the charging location meets the conditions for the driver's physiological recovery, then the charging location will be designated as the target location.

[0145] It should be understood that in some feasible implementations, the processor 1001 described above may be a central processing unit (CPU), which may also be other general-purpose processors, DSPs, ASICs, FPGAs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.

[0146] In practice, the electronic device 1000 can execute the implementation methods provided by each step of the charging method described above through its built-in functional modules. For details, please refer to the implementation methods provided by each step.

[0147] The electronic device provided in this embodiment determines the remaining battery power of the vehicle in response to detected driver behavior and physical signs; based on the remaining battery power, it determines the nearest charging location; if the charging location meets the conditions for the driver's physiological recovery, then the charging location is selected as the target location. When the driver's behavior and physical signs determine that the driver is in a state unsuitable for continued driving, it searches for a charging location that can provide the driver with physiological recovery conditions, utilizing the charging time to provide physiological recovery for the driver. This not only improves the driving experience during long-distance driving but also effectively prevents the driver's physiological state from affecting driving safety.

[0148] This application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the various steps in the vehicle charging method described above. For details, please refer to the implementation methods provided for each of the above steps, which will not be repeated here.

[0149] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0150] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for charging a car, characterized in that, Includes the following steps: In response to detected driver behavior and vital signs, determine the vehicle's remaining battery power; The step of determining the remaining battery power of the vehicle in response to detected driver behavior and vital signs includes: determining that the driver is in a first state based on the driver's behavior and vital signs; When the driver is detected to be in the first state, if it is determined that the car needs to be charged based on the remaining battery power, the nearest charging location is determined as follows: Determine the vehicle's remaining driving distance based on its remaining battery power, and use the vehicle's navigation system to find a charging station within the vehicle's remaining driving distance range, starting from the current location. Determine the initial distance from the current location to each charging station; The shortest path from the current location to the destination in the original driving route is determined according to the Dijkstra algorithm, and the second distance is calculated based on the shortest path; The shortest path from each charging station to the destination in the original driving route is determined according to the Dijkstra algorithm, and the third distance is calculated based on the shortest path. Based on the second distance, the first distance, and the third distance of each charging station, determine the deviation coefficient of each charging station: ； Based on the initial distance and deviation coefficient of each charging station, the final distance of each charging station is determined, and the charging station with the shortest final distance is taken as the nearest charging location. The formula for calculating the final distance between each charging station is as follows: ； in, For the first The final distance between charging stations, For the first The first distance to each charging station The second distance, For the first The third distance of each charging station, For the first Deviation coefficient of each charging station; If the charging location meets the conditions for the driver's physiological recovery, then the charging location will be designated as the target location.

2. The vehicle charging method as described in claim 1, characterized in that, The step of determining that the driver is in the first state based on the driver's behavior and physical signs includes: Read the driver's voice content and determine that the voice content contains preset keywords.

3. The vehicle charging method as described in claim 1, characterized in that, The condition that the charging location meets the requirements for the driver's physiological recovery includes: The charging location is confirmed to have facilities that allow the driver to recover physiologically. Based on the facility's operating hours, determine the estimated time of arrival at the charging location during those operating hours; If the service capacity of the facility meets the preset value, it is determined that the facility meets the conditions for the driver to recover physiologically.

4. The vehicle charging method as described in claim 3, characterized in that, If the service capacity of the facility meets the preset value, determining that the facility meets the conditions for the driver's physiological recovery includes: The estimated time is less than the current time threshold, and the service waiting time is less than the preset value.

5. The vehicle charging method as described in claim 4, characterized in that, If the service capacity of the facility meets the preset value, determining that the facility meets the conditions for the driver's physiological recovery includes: if the estimated time is greater than the current time and the service waiting time is greater than the preset value, then a reservation request is sent to the facility.

6. The vehicle charging method as described in claim 1, characterized in that, If the charging location does not meet the conditions for the driver's physiological recovery, then within the range reachable by the remaining battery power, a charging location that meets the conditions for the driver's physiological recovery is selected, and the nearest charging location among them is taken as the target location.

7. A car charging device, characterized in that, include: The first module is used to detect the driver's behavior and vital signs and determine the driver's first state based on the driver's behavior and vital signs; The second module is used to determine the nearest charging location based on the car's remaining battery power, as detailed below: Determine the vehicle's remaining driving distance based on its remaining battery power, and use the vehicle's navigation system to find a charging station within the vehicle's remaining driving distance range, starting from the current location. Determine the initial distance from the current location to each charging station; The shortest path from the current location to the destination in the original driving route is determined according to the Dijkstra algorithm, and the second distance is calculated based on the shortest path; The shortest path from each charging station to the destination in the original driving route is determined according to the Dijkstra algorithm, and the third distance is calculated based on the shortest path. Based on the second distance, the first distance, and the third distance of each charging station, determine the deviation coefficient of each charging station: ； Based on the initial distance and deviation coefficient of each charging station, the final distance of each charging station is determined, and the charging station with the shortest final distance is taken as the nearest charging location. The formula for calculating the final distance between each charging station is as follows: ； in, For the first The final distance between charging stations, For the first The first distance to each charging station The second distance, For the first The third distance of each charging station, For the first Deviation coefficient of each charging station; The third module is used to confirm that the operating status of the charging location meets the conditions for the driver to recover physiologically.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the vehicle charging method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the vehicle charging method as described in any one of claims 1-6.

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