Method and device for charging intelligent helmet based on riding vehicle and medium

Abstract

The invention provides a method and device for charging an intelligent helmet based on a riding vehicle and a medium, and relates to the technical field of battery management, the riding vehicle is provided with a port for charging the intelligent helmet, and the riding vehicle is in communication connection with a mobile terminal; and / or the intelligent helmet is in communication connection with a mobile terminal; and / or, the riding vehicle is in communication connection with the intelligent helmet, the intelligent helmet is charged based on the riding vehicle, and the experience feeling of the user is improved.

Description

Technical Field

[0001] The present invention relates to the field of battery management technology, and in particular to a method, device, and medium for charging a smart helmet based on a riding vehicle. Background Art

[0002] With the technological advancements in cycling vehicles and smart helmets, modern smart helmets integrate high-power modules such as GPS navigation, Bluetooth communication, collision detection, and environmental sensing. The battery life requirements have increased from the traditional few hours to all-day coverage. However, charging smart helmets is currently inconvenient, requiring users to take the helmets indoors to charge after each use, significantly limiting their application and widespread adoption. How to more efficiently charge smart helmets has become a widespread concern. Furthermore, with advances in battery technology, cycling vehicles now have the capacity to charge smart helmets. Using cycling vehicles to charge smart helmets can address the current charging challenges. More convenient charging of smart helmets, such as charging the helmet while on the cycling vehicle, and the development of relevant charging strategies and methods, face greater demands on functional integration and energy management to help users overcome the inconvenience of charging their helmets and improve the user experience. Summary of the Invention

[0003] In view of the above technical problems, the technical solution adopted by the present invention is: According to a first aspect of the present invention, a method for charging a smart helmet based on a riding vehicle is provided, wherein the riding vehicle is equipped with a port for charging the smart helmet. The riding vehicle is in communication with the mobile terminal; and / or, The smart helmet is communicatively connected to the mobile terminal; and / or, The riding vehicle and the smart helmet are communicatively connected; The method includes: charging the smart helmet based on riding a vehicle.

[0004] According to a second aspect of the present invention, a non-transitory computer-readable storage medium is provided, in which a computer program is stored. The computer program is loaded and executed by a processor to implement the aforementioned method.

[0005] According to a third aspect of the present invention, an electronic device is provided, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned method when executing the computer program.

[0006] The present invention has at least the following beneficial effects: In summary, the cycling vehicle is equipped with a port for charging the smart helmet, the cycling vehicle and the mobile terminal are communicatively connected; and / or, the smart helmet and the mobile terminal are communicatively connected; and / or, the cycling vehicle and the smart helmet are communicatively connected, and the smart helmet is charged based on the cycling vehicle, thereby solving the pain point of the difficulty in charging the smart helmet and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 This is a flowchart of a method for charging a smart helmet based on a riding vehicle provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0010] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar tasks and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0011] An embodiment of the present invention provides a method for charging a smart helmet based on a riding vehicle, wherein the riding vehicle is equipped with a port for charging the smart helmet. The riding vehicle is in communication with the mobile terminal; and / or, The smart helmet is communicatively connected to the mobile terminal; and / or, The riding vehicle and the smart helmet are communicatively connected; The method includes: charging the smart helmet based on riding a vehicle.

[0012] Specifically, based on the riding vehicle, charging the smart helmet also includes: Based on the riding vehicle, a signal identifier of the power supply of the riding vehicle is obtained, When the signal identifier is the first identifier, executing the first charging method; and / or, When the signal identifier is the second identifier, executing the second charging method; and / or, When the signal identifier is the third identifier, the third charging method is executed.

[0013] Specifically, the first identifier, the second identifier, and the third identifier are all different.

[0014] Specifically, such as Figure 1 As shown, the first charging method includes: S100 , obtaining a driving behavior feature value list of a target user by riding a vehicle, wherein the driving behavior feature value list includes driving behavior feature values ​​corresponding to a plurality of driving behavior features.

[0015] S101 , based on a target user's driving behavior characteristic value list, obtaining a first influence coefficient of the driving behavior characteristic value list on the battery power of the riding vehicle.

[0016] Specifically, the driving behavior characteristics are determined based on actual power consumption, and include: frequency of sudden acceleration, frequency of sudden braking, average vehicle speed, frequency of hill climbing, etc. It is understood that, with other factors remaining the same, different user driving behaviors, i.e., different user driving behavior characteristic value lists, result in different power consumption for the riding vehicle. Therefore, the present invention obtains the target user's driving behavior characteristic value list and obtains a first impact coefficient of the driving behavior characteristic value list on the power consumption of the riding vehicle.

[0017] S102: Obtain the target user's destination and target driving distance, and obtain a second impact coefficient of the target driving distance on the power consumption of the riding vehicle. Specifically, the driving distance and the power consumption of the riding vehicle are not linearly related, so the present invention obtains the second impact coefficient.

[0018] S103: Based on the current battery level of the cycling vehicle, the current battery level of the smart helmet, the first influence coefficient, and the second influence coefficient, initial charging parameters for the cycling vehicle and the smart helmet are obtained. The initial charging parameters include the remaining battery level of the cycling vehicle, the available battery level for charging the smart helmet, the charging level of the smart helmet, and the charging duration. If the signal indicates the first indicator, charging time is limited and the charging level of the cycling vehicle and the smart helmet needs to be properly allocated.

[0019] In summary, when the signal identifier is the first identifier, a list of driving behavior characteristic values ​​of the target user is obtained, and based on the list of driving behavior characteristic values ​​of the target user, a first influence coefficient of the driving behavior characteristic value list on the power of the cycling vehicle is obtained, the destination and target driving distance of the target user are obtained, and a second influence coefficient of the target driving distance on the power of the cycling vehicle is obtained. Based on the current power of the cycling vehicle, the current power of the smart helmet, the first influence coefficient, and the second influence coefficient, the initial charging parameters of the cycling vehicle and the smart helmet are obtained, and the initial charging parameters are sent to the mobile terminal. The present invention comprehensively considers multiple influencing factors to accurately calculate the required charging power of the cycling vehicle and the required charging power of the smart helmet required by the user, thereby improving the user experience.

[0020] Specifically, the second charging method includes: S201, determining to use an external fixed power source to charge the riding vehicle through the riding vehicle; and / or, S202: Determine, through the riding vehicle, to use an external fixed power source to charge the smart helmet. When the signal identifier is the second identifier, it indicates that an external fixed power source is charging the riding vehicle. Therefore, the external fixed power source is used to charge the riding vehicle and the smart helmet.

[0021] In one embodiment of the present invention, when the vehicle is in a riding state and the vehicle power supply needs to be used to charge the helmet, in order to improve the efficient distribution of the vehicle battery power, when the vehicle is in the riding state, after S103, the following steps are further included: S104: Obtain first time duration data of when the independent power source charges the helmet from 0 to full charge. Specifically, obtain first time duration data of when the independent power source charges the helmet from 0 to full charge in history.

[0022] S105: Obtain second time duration data of charging the smart helmet from 0 to full charge using the vehicle power supply in the riding state. Specifically, obtain historical second time duration data of charging the smart helmet from 0 to full charge using the vehicle power supply in the riding state.

[0023] S106: Based on the first duration data and the second duration data, obtain a charging loss coefficient Z1 of the riding vehicle charging the smart helmet in the riding state.

[0024] In one embodiment of the present invention, the first duration data is A1, and the second duration data is A2. In this case, the loss coefficient is |A1-A2|.

[0025] Specifically, S106 further includes: obtaining the first duration data as target data, and obtaining a charging loss coefficient of the smart helmet when the riding vehicle is charging based on the difference between the second duration data and the target data. It can be understood that the charging loss coefficient represents the loss of charging the smart helmet when the riding vehicle is charging.

[0026] S107: Based on the current battery level of the cyclist, the current battery level of the smart helmet, the charging loss coefficient, the first impact coefficient, and the second impact coefficient, an intermediate charging strategy is obtained and sent to the mobile terminal. The intermediate charging strategy includes: a minimum battery level required for the cyclist's return trip and target charging ratio data for the smart helmet. Specifically, the target charging ratio data for the smart helmet is the percentage of the smart helmet's battery level after charging.

[0027] Specifically, based on the intermediate charging strategy, the dischargeable amount of the vehicle power supply and the charge amount that the smart helmet can obtain are given, and the charging sub-strategy is determined based on the charging loss data. The charging sub-strategy includes: the time and power data of using the vehicle power supply to charge the smart helmet in the riding state.

[0028] In another embodiment of the present invention, when the vehicle is parked and the vehicle power supply is needed to charge the helmet, in order to improve the efficient distribution of the vehicle battery power, when the vehicle is parked, the following steps are further performed after S103: S1031: Obtain third time duration data of charging the smart helmet from 0 to full charge using the vehicle power supply while the vehicle is parked. Specifically, obtain historical third time duration data of charging the smart helmet from 0 to full charge using the vehicle power supply while the vehicle is parked.

[0029] S1032: Based on the first duration data and the third duration data, obtain a charging loss coefficient Z2 for charging the smart helmet from a riding vehicle in a parked state.

[0030] In one embodiment of the present invention, the first duration data is A1, and the third duration data is A 3， At this time, the loss coefficient is |A1-A3|.

[0031] Specifically, S1032 further includes: obtaining the first duration data as target data, and obtaining a charging loss coefficient for charging the smart helmet from the parked vehicle based on a difference between the third duration data and the target data. It can be understood that the charging loss coefficient represents the loss of charging the smart helmet from the parked vehicle.

[0032] S1033, based on the current power of the cycling vehicle, the current power of the smart helmet, the charging loss coefficient, the first impact coefficient, and the second impact coefficient, obtain the intermediate charging strategy and send the intermediate charging strategy to the mobile terminal. The intermediate charging strategy includes: the minimum power required for the cycling vehicle to return and the target charging ratio data of the smart helmet.

[0033] Specifically, based on the intermediate charging strategy, the dischargeable amount of the vehicle power supply and the charge amount that the smart helmet can obtain are given, and the charging sub-strategy is determined based on the charging loss data. The charging sub-strategy includes: the time and power data of using the vehicle power supply to charge the smart helmet when parked.

[0034] Among them, the charging method of the riding vehicle to the smart helmet includes wired connection charging and / or wireless connection charging.

[0035] In summary, the first duration data of the independent power supply to charge the helmet from 0 to full is obtained, and the second duration data of the vehicle power supply to charge the smart helmet from 0 to full is obtained in the riding state. Based on the first duration data and the second duration data, the charging loss coefficient of the riding vehicle to charge the smart helmet in the riding state is obtained. Based on the current power of the riding vehicle, the current power of the smart helmet, the charging loss coefficient, the first influence coefficient, and the second influence coefficient, an intermediate charging strategy is obtained, and the intermediate charging strategy is sent to the mobile terminal. The intermediate charging strategy includes: the minimum power required for the return trip of the riding vehicle and the target charging ratio data of the smart helmet. The third duration data of the vehicle power supply to charge the smart helmet from 0 to full is obtained in the parking state. Based on the first duration data and the third duration data, the charging loss coefficient of the riding vehicle to charge the smart helmet in the parking state is obtained. Based on the current power of the riding vehicle, the current power of the smart helmet, the charging loss coefficient, the first influence coefficient, and the second influence coefficient, an intermediate charging strategy is obtained, and the intermediate charging strategy is sent to the mobile terminal. The present invention takes into account the charging loss of the riding vehicle to the smart helmet to achieve charging balance between the riding vehicle and the smart helmet.

[0036] Furthermore, the present invention also includes: when the charging sub-strategy still cannot meet the user's travel needs, recommending preset driving behavior characteristic values ​​to the user to ensure the user's travel.

[0037] Furthermore, after S107 and / or S304, the method further includes: S1071, obtaining weather characteristics, and obtaining a weather danger degree score x1 based on the weather characteristics. Specifically, those skilled in the art know that any method of obtaining a score based on characteristics in the prior art falls within the scope of protection of the present invention, for example, through manual setting.

[0038] S1072: When x1 is greater than the preset danger level threshold x0, stop charging the riding vehicle and the helmet.

[0039] In a preferred embodiment of the present invention, when x1 is greater than a preset danger level threshold x0 and the vehicle is in a safe state, the riding vehicle and the helmet continue to be charged.

[0040] Specifically, the third charging method includes: S301, obtain the remaining power information n of the smart helmet, where n is any number from 1% to 100%. When the remaining power information n is not less than n1, execute S302; when the remaining power information n is less than n1, execute S303; n1 is the first remaining power threshold set by the user through the mobile terminal and the value range of n1 is 1%-100%.

[0041] S302: Send a prompt message to the user, where the prompt message is: manually start the riding vehicle to charge the smart helmet.

[0042] S303, obtain the remaining power m of the riding vehicle, where m is an arbitrary number from 1% to 100%. When the remaining power information m is not less than m1, execute S304; when the remaining power information m is less than m1, execute S302; m1 is the second remaining power threshold set by the user through the mobile terminal and m1 is an arbitrary number from 1% to 100%.

[0043] S304: Start the riding vehicle to charge the smart helmet. Specifically, the riding vehicle to charge the smart helmet includes wired charging and wireless charging. The third indicator indicates that the smart helmet is charged by the vehicle.

[0044] Furthermore, S101 also includes: S1011, constructing a first initial model and a first training list set, wherein the first training list set includes several first training lists, and the first training lists include historical driving behavior feature values ​​corresponding to several driving behavior features of historical users, and historical influence coefficients of the historical driving behavior feature values ​​on riding vehicles.

[0045] S1012: Train the first initial model based on the first training list set to obtain a first intermediate model.

[0046] S1013: Input the target user's driving behavior feature value list into the first intermediate model to obtain a first influence coefficient.

[0047] Furthermore, S102 also includes: S1021: Build a second initial model and a second training list set. The second training list set includes a plurality of second training lists. The second training lists include historical driving distances of historical users and historical influence coefficients of historical driving distances on riding vehicles.

[0048] S1022: Train the second initial model based on the second training list set to obtain a second intermediate model.

[0049] S1023: Input the target driving distance into a second initial model to obtain a second influence coefficient of the target driving distance on the battery power of the riding vehicle.

[0050] An embodiment of the present invention also provides a non-transitory computer-readable storage medium, which can be set in an electronic device to store a computer program related to a method in the method embodiment. The computer program is loaded and executed by the processor to implement the method provided in the above embodiment.

[0051] An embodiment of the present invention further provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method provided in the above embodiment when executing the computer program.

[0052] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. A method for charging a smart helmet based on a riding vehicle, characterized in that: The riding vehicle is equipped with a port for charging the smart helmet, The riding vehicle is in communication with the mobile terminal; and / or, The smart helmet is communicatively connected to the mobile terminal; and / or, The riding vehicle and the smart helmet are communicatively connected; The method includes: charging the smart helmet based on riding a vehicle.

2. The method for charging a smart helmet based on a riding vehicle according to claim 1, characterized in that: Based on the riding vehicle, charging the smart helmet also includes: Based on the riding vehicle, a signal identification of the power supply of the riding vehicle is obtained, When the signal identifier is the first identifier, executing the first charging method; and / or, When the signal identifier is the second identifier, executing the second charging method; and / or, When the signal identifier is the third identifier, the third charging method is executed.

3. The method for charging a smart helmet based on a riding vehicle according to claim 2, characterized in that: The first charging method includes: S100, obtaining a driving behavior feature value list of a target user by riding a vehicle, wherein the driving behavior feature value list includes driving behavior feature values ​​corresponding to a plurality of driving behavior features; S101, based on a target user's driving behavior characteristic value list, obtaining a first influence coefficient of the driving behavior characteristic value list on the battery power of the riding vehicle; S102, obtaining a destination and a target driving distance of a target user, and obtaining a second influence coefficient of the target driving distance on the battery power of the riding vehicle; S103, based on the current power of the riding vehicle, the current power of the smart helmet, the first influence coefficient, and the second influence coefficient, obtain initial parameters for charging the smart helmet from the riding vehicle, wherein the initial charging parameters include: the power available for charging the smart helmet, the charging power required for the smart helmet, and the charging time.

4. The method for charging a smart helmet based on a riding vehicle according to claim 2, characterized in that: The second charging method includes: S201, determining to use an external fixed power source to charge the riding vehicle through the riding vehicle; and / or, S202: Determine, by riding the vehicle, to use an external fixed power source to charge the smart helmet.

5. The method for charging a smart helmet based on a riding vehicle according to claim 2, characterized in that: The third charging method includes: S301, obtaining the remaining power information n of the smart helmet, where n is an arbitrary number between 1% and 100%. When the remaining power information n is not less than n1, executing S302; when the remaining power information n is less than n1, executing S303; n1 is a first remaining power threshold set by the user through the mobile terminal and the value range of n1 is 1%-100%. S302, sending a prompt message to the user, wherein the prompt message is: manually start the riding vehicle to charge the smart helmet; S303, obtaining the remaining power m of the riding vehicle, where m is an arbitrary number between 1% and 100%. When the remaining power information m is not less than m1, executing S304; when the remaining power information m is less than m1, executing S302; m1 is a second remaining power threshold set by the user through the mobile terminal and is an arbitrary number between 1% and 100%. S304: Start the riding vehicle to charge the smart helmet.

6. The method for charging a smart helmet based on a riding vehicle according to claim 1, characterized in that: The charging method of the riding vehicle to the smart helmet includes wired charging and / or wireless charging.

7. The method for charging a smart helmet based on a riding vehicle according to claim 3, characterized in that: The S101 also includes: S1011: Build a first initial model and a first training list set, where the first training list set includes a plurality of first training lists, each of which includes historical driving behavior feature values ​​corresponding to a plurality of driving behavior features of historical users, and a historical influence coefficient of the historical driving behavior feature values ​​on the riding vehicle; S1012, training a first initial model based on the first training list set to obtain a first intermediate model; S1013: Input the target user's driving behavior feature value list into the first intermediate model to obtain a first influence coefficient.

8. The method for charging a smart helmet based on a riding vehicle according to claim 3, characterized in that: The S102 also includes: S1021: Build a second initial model and a second training list set, where the second training list set includes a plurality of second training lists, each of which includes historical driving distances of historical users, historical impact coefficients of historical driving distances on riding vehicles, and historical impact coefficients of historical driving distances on smart helmets. S1022, training a second initial model based on a second training list set to obtain a second intermediate model; S1023: Input the target driving distance into a second initial model to obtain a second influence coefficient of the target driving distance on the battery power of the riding vehicle.

9. A non-transitory computer-readable storage medium, characterized in that The storage medium stores a computer program, which is loaded and executed by a processor to implement the method for charging a smart helmet based on a riding vehicle as described in any one of claims 1 to 8.

10. An electronic device comprising: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for charging a smart helmet based on a riding vehicle as described in any one of claims 1 to 8 is implemented.

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