Toy car battery charging method and system

Abstract

The invention relates to a toy car battery charging method and system. The method comprises the following steps that the position of a wireless charging base is obtained; setting automatic standby time of the toy car; setting a rest time period of the toy car; judging the starting state of the toy car: judging a current time node, and if the current time node is in the rest time period, continuing to execute the following steps; acquiring the current position of the toy car, and setting the position as the coordinate position of the charging target; controlling the toy car to automatically move to the position of the wireless charging seat until the toy car reaches the position of the wireless charging seat; after the toy car arrives at the position of the wireless charging seat, the wireless charging seat is started to charge the toy car; according to the toy car battery charging method and system, the charging efficiency can be improved, manual intervention of a user is avoided, the service life of the battery can be prolonged through intelligent control and optimization of the charging opportunity, and better user experience is provided.

Description

Technical Field

[0001] The invention particularly relates to a toy car battery charging method and system thereof. Background Art

[0002] As smart toys continue to develop, toy cars, as one of the common types, have gradually introduced more automation and intelligent technologies. For example, many modern toy cars are equipped with battery-driven systems that can drive autonomously, respond to control commands, and are powered by built-in batteries. However, traditional charging methods usually rely on manual operations, and users need to connect the toy car to the charging station or replace the battery, which is not only cumbersome, but also easy to forget to charge, resulting in the toy car running out of power or not working properly during use.

[0003] At present, although some toy cars on the market have wireless charging functions, their charging method still relies on users to manually place the toy car on the charging stand for charging. For most users, there is still a large gap in the automation and intelligence of the charging process. In addition, many wireless charging systems only provide charging support when the toy car runs out of power, but lack intelligent management of the charging timing and charging process.

[0004] In the existing technology, common charging problems are mainly concentrated in the following aspects:

[0005] The charging process requires more manual intervention: Most wireless charging systems still require users to manually place the toy car on the charging station, and cannot realize the automatic charging process. This not only increases the inconvenience of use, but also reduces the user experience.

[0006] Improper charging timing: Improper charging timing may lead to overcharging or undercharging of the battery, affecting the battery life. Existing technologies generally do not have the function of intelligently managing charging timing. The charging process is often the result of active user operation, lacking automatic adjustment and optimization.

[0007] Lack of intelligent navigation and positioning: Most toy cars can only be moved manually or controlled by external devices, but fail to make full use of the built-in navigation system to automatically adjust the position. Toy cars cannot autonomously locate the charging station, causing inconvenience and inefficiency during the charging process.

[0008] Pairing problem between the toy car and the charging station: The charging connection between the wireless charging station and the toy car may not be able to complete the charging smoothly due to the wrong position, inappropriate time, etc. Especially when the toy car is in standby mode or not in the right position, the charging station cannot start the charging process in time, resulting in the battery not being charged at the best time.

[0009] Based on the above problems, the existing toy car battery charging method still has a lot of room for improvement in terms of intelligence and automation. Therefore, developing an intelligent charging system that can automatically determine the charging time, automatically move to the charging seat and start the charging process has become an urgent need to solve the existing technical bottlenecks. Summary of the invention

[0010] In order to overcome the deficiencies and shortcomings of the prior art, the primary purpose of the present invention is to provide a toy car battery charging method and system thereof, which can not only improve the charging efficiency and avoid manual intervention by the user, but also extend the battery life through intelligent control and optimization of charging timing, thereby providing a better user experience.

[0011] The primary purpose of the present invention is achieved through the following technical solutions:

[0012] A method for charging a toy car battery comprises the following steps:

[0013] Get the position of the wireless charging station and set it as the base coordinate position;

[0014] Set the automatic standby time of the toy car;

[0015] Set rest periods for toy cars;

[0016] Determine the start-up state of the toy car. If the toy car is in the standby state, further perform the following steps:

[0017] Determine the current time node, if the current time node is in the rest time period, continue to perform the following steps;

[0018] Get the current position of the toy car and set it as the coordinate position of the charging target;

[0019] Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat;

[0020] When the toy car arrives at the wireless charging seat, the wireless charging seat is started to charge the toy car.

[0021] Preferably, the method for obtaining the position of the wireless charging stand and setting the position as the basic coordinate position is:

[0022] Through the wireless signal receiving module, the signal strength between the wireless charging station transmitter is detected to determine the existence of the signal source;

[0023] Using a positioning sensor to measure the relative distance and angle between the toy car and the wireless charging station;

[0024] According to the measured relative position and the known coordinates of the wireless charging base, the absolute coordinates of the wireless charging base in the toy car coordinate system are calculated;

[0025] The calculated position of the wireless charging base is set as the base coordinate position.

[0026] Preferably, the method for determining the start-up state of the toy car is:

[0027] The starting status of the toy car is monitored in real time through the built-in status sensor;

[0028] If it is in shutdown state, determine whether the shutdown time meets the threshold of automatic standby time;

[0029] If the threshold of the automatic standby time is met, it is determined whether the battery power of the toy car is lower than a preset threshold to determine whether it needs to be charged;

[0030] If the toy car is in low battery state, mark it as standby state;

[0031] Check whether the control system of the toy car receives the start command. If not, the control system maintains the standby state.

[0032] Preferably, the method for obtaining the current position of the toy car is:

[0033] Activate the positioning sensor of the toy car;

[0034] The positioning sensor collects the position information of the surrounding environment of the toy car in real time, and the position information includes distance, angle and direction data;

[0035] Compare the collected data with the known basic coordinate position to calculate the current position coordinate of the toy car;

[0036] The calculated current position coordinates are stored in the control system of the toy car.

[0037] As a preferred method, the toy car is controlled to automatically move to the wireless charging station:

[0038] Get the location information of the wireless charging station and set the location as the basic coordinate location.

[0039] The current position of the toy car is obtained through the positioning system of the toy car.

[0040] Based on the current position of the toy car and the basic coordinate position of the wireless charging station, a path planning algorithm is used to calculate the best path from the current position of the toy car to the wireless charging station;

[0041] Through the control system, the driving control is carried out according to the calculated path, and the forward speed, steering angle and acceleration of the toy car are adjusted to ensure that the car automatically drives according to the predetermined path;

[0042] When the toy car approaches the wireless charging station, the control system automatically slows down and accurately adjusts the driving route according to the deviation between the current position and the target position to ensure that the toy car accurately stops on the charging station.

[0043] Preferably, a path planning algorithm is used to calculate the best path for the toy car from the current position to the wireless charging station:

[0044] An environmental map is established in the control system of the toy car to indicate the traversable area and obstacle area of ​​the toy car;

[0045] The environment is divided into a node graph. The nodes in the graph represent different locations, the edges represent possible driving routes, and the obstacle areas are set as inaccessible areas.

[0046] Input the current position of the toy car and the position of the wireless charging station into the path planning system;

[0047] By traversing all possible paths, calculate the shortest path from the current location to the wireless charging station;

[0048] Assume that the map consists of multiple nodes and edges connecting these nodes, and each node has a weight representing the distance;

[0049] The algorithm starts from the starting node, gradually selects the node with the shortest path, and updates the path cost of its adjacent nodes until it reaches the target node;

[0050] Obtain obstacle information in front of the toy car in real time and detect and identify real-time obstacles in combination with environmental sensors;

[0051] During the driving process of the toy car, if an obstacle is detected, the control system will recalculate the path between the current node and the target node according to the Dijkstra algorithm;

[0052] The system dynamically adjusts the current driving path through real-time updated environmental maps and obstacle data to ensure that the car avoids collisions and continues to drive to the target location;

[0053] According to the calculated optimal path, the control system controls the driving module of the toy car and performs the following steps:

[0054] Drive along the planned path, adjusting the wheel angle and speed to ensure accurate tracking of the path;

[0055] Adjust driving speed and direction based on sensor feedback to ensure possible obstacles are avoided;

[0056] During the movement, if new obstacles or environmental changes are encountered, the path will be recalculated and adjusted to ensure that it reaches the wireless charging station.

[0057] Preferably, when the toy car arrives at the wireless charging seat, the method of starting the wireless charging seat to charge the toy car is:

[0058] The sensor detects the contact between the toy car and the charging base, and once the contact is successful, the charging start mechanism is triggered;

[0059] After confirming that the toy car is successfully docked with the wireless charging station, the charging process is automatically started to charge the battery of the toy car.

[0060] Another technical problem to be solved by the present invention is to provide a toy car battery charging system, comprising:

[0061] A wireless charging stand, used for wirelessly charging the toy car, and having a preset base coordinate position;

[0062] Control unit for:

[0063] Obtaining the position of the wireless charging base and setting the position as the basic coordinate position;

[0064] Set the automatic standby time of the toy car;

[0065] Set rest periods for toy cars;

[0066] Determine the start state of the toy car. If the toy car is in the standby state, further perform the following operations:

[0067] Determine the current time node, and if the current time node is in the rest time period, continue to perform the following operations;

[0068] Get the current position of the toy car and set it as the coordinate position of the charging target;

[0069] Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat;

[0070] A driving system, used to respond to the command of the control unit and drive the toy car to automatically move to the position of the wireless charging seat;

[0071] The wireless charging start module is used to start the wireless charging process after the toy car arrives at the wireless charging seat, and transmit electrical energy to the toy car for charging.

[0072] Another technical problem to be solved by the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a toy car battery charging method as described above is implemented.

[0073] Another technical problem to be solved by the present invention is to provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the toy car battery charging method as described in any one of the above is implemented.

[0074] Compared with the prior art, the present invention has the following advantages:

[0075] Traditional toy cars need to be manually connected to charging equipment for charging, which is not only troublesome, but also easy to forget to charge. This method realizes automatic charging management by intelligently controlling the charging process of the toy car. When the toy car is in standby mode and meets the specific rest time period, the system automatically guides the toy car to the wireless charging station for charging, avoiding human intervention and improving charging efficiency.

[0076] Toy car batteries usually need to be charged at the right time. Charging too early or too late may affect the battery life. By setting the automatic standby time and rest time period, the toy car can automatically enter the charging state at the right time, ensuring the rationality of the charging time and the long life of the battery.

[0077] The toy car needs to be able to autonomously determine its own position and accurately move to the location of the wireless charging station. This method obtains the location of the wireless charging station and sets it as the basic coordinate position, combines the current time node to determine whether it is in the rest period, and then automatically guides the toy car to the location of the wireless charging station, solving the problem of traditional manual operation and navigation.

[0078] Traditional charging methods may require users to manually place the toy car on the charging station or check the battery level regularly. However, with this method, the toy car can automatically enter the standby state and automatically return to the charging station according to the preset rest period without user intervention, which greatly saves operation time and energy and improves user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 The present invention is a flow chart of a method for charging a toy car battery. DETAILED DESCRIPTION

[0080] The specific implementation modes of the present invention are further described in detail to make the technical solutions of the present invention easier to understand and grasp.

[0081] Example

[0082] See also Figure 1 As shown, a method for charging a toy car battery comprises the following steps:

[0083] Get the position of the wireless charging station and set it as the base coordinate position;

[0084] Set the automatic standby time of the toy car;

[0085] Set rest periods for toy cars;

[0086] Determine the start-up state of the toy car. If the toy car is in the standby state, further perform the following steps:

[0087] Determine the current time node, if the current time node is in the rest time period, continue to perform the following steps;

[0088] Get the current position of the toy car and set it as the coordinate position of the charging target;

[0089] Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat;

[0090] When the toy car arrives at the wireless charging seat, the wireless charging seat is started to charge the toy car.

[0091] By setting the standby time, rest time period, automatic navigation and charging control, the entire charging process does not require manual operation. This greatly simplifies the user's operation process and makes charging more convenient; it automatically determines whether the current time is a rest time period and only starts charging at the appropriate time, thus avoiding unnecessary charging operations and improving charging efficiency.

[0092] By judging whether the toy car is in standby mode, charging is performed only when the car is in standby mode and the time node is appropriate. This ensures that the charging process is only performed when needed, thereby saving energy; by setting the rest time period and automatically controlling the charging time, the loss of the toy car battery caused by long-term overcharging is reduced, and the battery life is extended.

[0093] The toy car can automatically move to the charging station according to the set basic coordinate position without human intervention. This improves the convenience of use, especially for children or families with no operating experience. The automatic navigation function greatly enhances the experience; obtaining the current position and accurately navigating to the charging station ensures that the charging process proceeds smoothly and does not cause charging failure due to inaccurate positioning.

[0094] Users only need to set the standby time and rest time period, and the system will automatically complete all operations, enhancing the intelligence of the toy and improving the user experience. By automatically determining the rest time period, it ensures that the car is charged only at the appropriate time, avoiding wasting resources at unnecessary time, thereby improving time management efficiency.

[0095] This charging method makes the toy car have certain intelligent characteristics, and can automatically perform tasks according to the environment and time, giving the toy car more interactivity and automation, and enhancing the sense of technology and entertainment of the toy; with the continuous development of the Internet of Things and smart devices, smart charging technology is one of the future trends. This method is in line with the current design concept of smart devices and has strong future adaptability.

[0096] By intelligently controlling the charging timing, unnecessary charging and overcharging are avoided, thus protecting the battery and extending the service life of the toy car; the automatic charging system reduces the maintenance and manual intervention requirements of the toy car, reduces failures or damages caused by improper charging, and improves the reliability of the equipment.

[0097] The method to obtain the position of the wireless charging station and set it as the basic coordinate position is:

[0098] Through the wireless signal receiving module, the signal strength between the wireless charging station transmitter is detected to determine the existence of the signal source;

[0099] Using a positioning sensor to measure the relative distance and angle between the toy car and the wireless charging station;

[0100] According to the measured relative position and the known coordinates of the wireless charging base, the absolute coordinates of the wireless charging base in the toy car coordinate system are calculated;

[0101] The calculated position of the wireless charging station is set as the base coordinate position.

[0102] By detecting the signal source through a wireless signal receiving module (such as Wi-Fi, Bluetooth or RFID module), the presence of the wireless charging station transmitter can be determined. This method can achieve high-precision positioning in indoor environments, especially suitable for smaller spaces (such as home environments); combined with positioning sensors (such as ultrasonic sensors, laser rangefinders or visual sensors), the relative distance and angle between the toy car and the wireless charging station can be measured, thereby improving positioning accuracy; by combining the known coordinates of the wireless charging station with the measured relative position, the absolute coordinates of the wireless charging station can be accurately calculated in the coordinate system of the toy car, ensuring the accurate execution of the charging process.

[0103] This solution does not require manual operation or adjustment of the position of the toy car. You only need to set up the equipment, and the system will automatically detect and locate the position of the wireless charging station. Once the accurate position of the wireless charging station is obtained, the toy car can intelligently navigate to the charging station and automatically start charging. This process is fully automated, reducing the complexity of user operations.

[0104] The position of the wireless charging station is not fixed, especially when there are obstacles or environmental changes in the charging area. The system can recalculate the position of the wireless charging station through real-time signal strength and positioning data to ensure that the charging process is not affected by the environment; by integrating data from multiple sensors (such as signal strength, distance and angle), the system can maintain stable working results under different environmental conditions, adapt to changes in indoor lighting, walls, reflections and other factors, and avoid positioning errors caused by single reliance on a certain sensor.

[0105] Wireless signal receiving module: Select a suitable wireless signal receiving module (such as Wi-Fi module, Bluetooth module or UWB ultra-wideband module). These modules can measure signal strength and help determine the distance and relative position to the signal source.

[0106] Positioning sensors can be selected from the following positioning sensors:

[0107] Ultrasonic sensor: Calculates the distance to the target by emitting ultrasonic signals and measuring the echo time.

[0108] Laser rangefinder: uses the time it takes for a laser beam to reflect back to accurately measure distance.

[0109] Visual sensors: such as cameras or depth sensors (such as ToF sensors), which obtain the relative position of the target through image or depth data.

[0110] Computing Module: Choose a microcontroller or embedded system such as Arduino, Raspberry Pi, etc. to process sensor data and perform real-time calculations.

[0111] The toy car scans the surrounding signals through the wireless signal receiving module and detects the signal transmitting source of the wireless charging station. The signal strength can reflect the direction and approximate position of the charging station.

[0112] The straight-line distance from the toy car to the charging base is directly obtained by a laser rangefinder, and a gyroscope is used to determine the angle of the toy car relative to the charging base.

[0113] By inputting the measured relative distance, angle and known coordinates of the wireless charging station into the coordinate conversion formula, the absolute coordinates of the charging station in the toy car coordinate system can be obtained. For example, assuming that the known coordinates of the charging station are (X base ,Ybase ), and the distance measured by the toy car is d and the angle is θ, then the following calculations are performed to obtain the relative coordinates of the charging station:

[0114] X target =X base +d*cos(θ)

[0115] Y target =Y base +d*sin(θ)

[0116] After calculating the absolute coordinates, the toy car uses these coordinates as the charging target position.

[0117] The calculated absolute coordinates of the charging base are set as the basic coordinate position of the toy car. This position will be used as a reference point for automatic navigation to guide the toy car to move to this position.

[0118] The method to determine the starting state of a toy car is:

[0119] The starting status of the toy car is monitored in real time through the built-in status sensor;

[0120] If it is in shutdown state, determine whether the shutdown time meets the threshold of automatic standby time;

[0121] If the threshold of the automatic standby time is met, it is determined whether the battery power of the toy car is lower than a preset threshold to determine whether it needs to be charged;

[0122] If the toy car is in low battery state, mark it as standby state;

[0123] Check whether the control system of the toy car receives the start command. If not, the control system maintains the standby state.

[0124] By monitoring the state of the car, determining whether it is in a shutdown state, and setting an automatic standby time threshold, the car can automatically enter a low-power standby state when it has not been used for a long time, reducing unnecessary battery consumption and thus extending battery life; when the battery power is lower than the preset threshold, the system automatically detects and marks it as a standby state. This can prevent the toy car from being unable to start normally due to low power, and remind the user to charge in time.

[0125] Automatically monitor the battery power, detect low-battery status in time and enter standby mode, which helps to prevent the battery from being damaged due to long-term low-battery status. This can effectively extend the service life of the toy car and battery.

[0126] The entire process is completed automatically through the state sensor and control system, without user intervention, ensuring that the toy car is always in the best working state. The car automatically adjusts according to the state change, and the user only needs to issue a command when starting; the user does not need to frequently check the battery power or manually operate the control system. The system automatically determines whether the car needs to be charged or whether it has entered standby mode, improving the user experience.

[0127] By using built-in sensors to detect the working status of the car in real time, the system can respond and feedback status changes in a timely manner, such as low battery warnings or standby mode activation, ensuring that users can take timely measures; by checking the start command, the toy car is prevented from starting for no reason, increasing safety and operational reliability.

[0128] Through devices such as acceleration sensors or gyroscopes, the system monitors in real time whether the car is in motion. If the car is detected to be stationary, the system proceeds to the next step.

[0129] If the car is stationary, the system will record the downtime and determine whether the downtime exceeds the preset automatic standby time threshold. If it exceeds, it will proceed to the next step.

[0130] If the downtime exceeds the set threshold, the system will query whether the battery level is below the preset threshold. If the battery level is below the threshold, the system will mark it as low battery and set the car state to standby, ready for charging.

[0131] The battery power level can be detected through a battery voltage sensor, which monitors the battery voltage changes to determine the level of power.

[0132] If the battery is low, the system will automatically put the toy car into standby mode and perform appropriate actions, such as shutting down non-essential hardware to save power.

[0133] The system checks whether there is a start command sent by the user through the wireless communication module or other interfaces. If no start command is received, the system maintains the standby state and does not start the car.

[0134] If a start command is received, the system switches to start mode, waking the car and preparing it for work.

[0135] The method to obtain the current position of the toy car is:

[0136] Activate the positioning sensor of the toy car;

[0137] The positioning sensor collects the position information of the surrounding environment of the toy car in real time, and the position information includes distance, angle and direction data;

[0138] Compare the collected data with the known basic coordinate position to calculate the current position coordinate of the toy car;

[0139] The calculated current position coordinates are stored in the control system of the toy car.

[0140] By collecting position information (such as distance, angle and orientation data) in real time through positioning sensors, the position of the toy car in motion can be continuously updated to provide accurate positioning; by combining multi-dimensional data provided by different sensors (such as lidar, ultrasonic sensors, IMU, etc.), more accurate position information can be obtained and the error of a single sensor can be reduced.

[0141] By obtaining the current position, the toy car can calculate the relative distance and direction to the target position, so as to plan the path and avoid obstacles autonomously. For example, when performing indoor navigation, the car can move according to the relationship between the current coordinates and the target coordinates; accurate positioning allows the toy car to perform complex tasks, such as automatic cruising, returning to the starting point, and bypassing obstacles, thereby improving the overall user experience.

[0142] By updating the current position in real time, the toy car can adapt to changes in the environment (such as the appearance of obstacles, changes in path, etc.) and make adjustments based on the new positioning information; the positioning information enables the toy car to accurately perform tasks in complex environments (such as entering designated areas, completing automatic tasks, etc.) without relying on excessive user intervention.

[0143] The calculated current position coordinates can be stored in the control system to facilitate subsequent task execution, analysis and debugging. For example, users can view the historical path of the car, or replay and analyze the task; the acquired position information can be linked with other smart devices (such as mobile phones, tablets, smart home systems) through the wireless communication module, further improving the system's integration and intelligence level.

[0144] Control the toy car to automatically move to the wireless charging station:

[0145] Get the location information of the wireless charging station and set the location as the basic coordinate location.

[0146] The current position of the toy car is obtained through the positioning system of the toy car.

[0147] Based on the current position of the toy car and the basic coordinate position of the wireless charging station, a path planning algorithm is used to calculate the best path from the current position of the toy car to the wireless charging station;

[0148] Through the control system, the driving control is carried out according to the calculated path, and the forward speed, steering angle and acceleration of the toy car are adjusted to ensure that the car automatically drives according to the predetermined path;

[0149] When the toy car approaches the wireless charging station, the control system automatically slows down and accurately adjusts the driving route according to the deviation between the current position and the target position to ensure that the toy car accurately stops on the charging station.

[0150] With this solution, the toy car can automatically identify the location of the wireless charging station and drive to the charging station autonomously. Users do not need to manually place the car on the charging station, and can maintain the continuity of the charging process without intervention. This greatly improves convenience, especially after long-term use without frequent charging operations; through automatic navigation and precise docking, the toy car can intelligently manage the charging process and avoid incomplete charging or position deviation problems caused by manual operation.

[0151] The automatic charging function can make the toy car more interactive and entertaining during use. Users no longer need to worry about manual charging, and the toy car can stay in operation for a longer time, giving users a better experience; especially for children or users who are not familiar with toy operation, automatic charging can greatly reduce the complexity of operation. It makes the toy car more intelligent and close to the experience of autonomous driving or automated equipment in the real world.

[0152] Through the path planning algorithm, the toy car can choose the best path, avoid obstacles and reach the charging station in the shortest time. This intelligent path planning not only improves efficiency, but also effectively avoids problems such as collisions or jams of the car; the control system can adjust the car's travel speed, steering angle and acceleration according to the current positioning information and the relative position of the charging station. This ensures that the toy car can approach the charging station smoothly and safely, and makes the path smoother.

[0153] When approaching the charging station, the system can identify the distance and angle error from the target position, automatically slow down and adjust the driving route to ensure that the toy car can accurately stop on the charging station. This precise control reduces the risk of charging failure or damage to the charging station due to inaccurate position or wrong parking; when the car approaches the charging station, deceleration and route adjustment can avoid collisions caused by excessive speed or position deviation. This not only protects the charging equipment, but also avoids damage to the toy car caused by forced parking.

[0154] The automatic recharge function allows the toy car to automatically find the charging station and charge when the battery is low. This avoids the problem of users frequently checking the battery level and charging manually, and also allows the toy car to maintain a longer use time and efficient working state; manual operation may cause charging failure (such as misalignment with the charging station), while the automated system can ensure accurate charging every time, avoiding over-discharge or incomplete charging of the battery due to human error, thereby extending the service life of the toy car.

[0155] This solution enables toy cars to have certain intelligent perception and autonomous decision-making capabilities, making them more technological and in line with the current trend of consumer electronics and smart home devices. Intelligent operation can attract more consumers who pursue a sense of technology and innovative experience, especially in the toy market, where more and more parents want to provide their children with toys that are technologically advanced and have learning value; the technologies involved in this solution (such as path planning, control systems, etc.) are scalable, and more intelligent functions can be added in the future according to demand. For example, toy cars can be linked with smart home systems to automatically navigate according to the layout of the home, or detect environmental changes through sensors and optimize charging strategies.

[0156] Using the path planning algorithm, the method to calculate the best path for the toy car from its current position to the wireless charging station is:

[0157] An environmental map is established in the control system of the toy car to indicate the traversable area and obstacle area of ​​the toy car;

[0158] The environment is divided into a node graph. The nodes in the graph represent different locations, the edges represent possible driving routes, and the obstacle areas are set as inaccessible areas.

[0159] Input the current position of the toy car and the position of the wireless charging station into the path planning system;

[0160] By traversing all possible paths, calculate the shortest path from the current location to the wireless charging station;

[0161] Assume that the map consists of multiple nodes and edges connecting these nodes, and each node has a weight representing the distance;

[0162] The algorithm starts from the starting node, gradually selects the node with the shortest path, and updates the path cost of its adjacent nodes until it reaches the target node;

[0163] Obtain obstacle information in front of the toy car in real time and detect and identify real-time obstacles in combination with environmental sensors;

[0164] During the driving process of the toy car, if an obstacle is detected, the control system will recalculate the path between the current node and the target node according to the Dijkstra algorithm;

[0165] The system dynamically adjusts the current driving path through real-time updated environmental maps and obstacle data to ensure that the car avoids collisions and continues to drive to the target location;

[0166] According to the calculated optimal path, the control system controls the driving module of the toy car and performs the following steps:

[0167] Drive along the planned path, adjusting the wheel angle and speed to ensure accurate tracking of the path;

[0168] Adjust driving speed and direction based on sensor feedback to ensure possible obstacles are avoided;

[0169] During the movement, if new obstacles or environmental changes are encountered, the path will be recalculated and adjusted to ensure that it reaches the wireless charging station.

[0170] This solution achieves the autonomous decision-making ability of the toy car by establishing an environmental map and using a path planning algorithm. The car can automatically calculate the best driving path according to the real-time changes in the environment, avoiding human intervention and improving the level of intelligence; the path planning algorithm can adjust the driving route in real time according to the obstacle information fed back by the sensor. This means that the toy car can not only drive smoothly without obstacles, but also flexibly respond to the appearance of obstacles to ensure that the charging process is not disturbed.

[0171] By detecting and identifying obstacles in real time, the toy car can recalculate the path in time when encountering new obstacles. This avoids the situation where the car stops or deviates from the target path due to obstacles in front, ensuring the smooth completion of the charging task; the control system will dynamically adjust the path after detecting obstacles to avoid collisions. This reduces the risk of equipment damage and improves the safety of the system.

[0172] Through path planning and real-time sensor feedback, the system can accurately control the toy car to drive along the planned path. The angle and speed of the wheels are precisely adjusted to ensure that the car can accurately track the path and avoid deviation; the path planning system optimizes the path accuracy by refining the environmental map, thereby improving the accuracy of the car when it is docked at the charging station.

[0173] The toy car can autonomously find the wireless charging station and automatically dock, without manual intervention by the user, enhancing convenience and entertainment; the user only needs to start the system, and the toy car will complete the rest of the tasks by itself, which is suitable for users of all ages, especially children or adults who are not familiar with technology.

[0174] Environmental maps and path planning algorithms can cope with complex indoor and outdoor environments. As charging demand increases, more path planning options can be expanded, and even collaborative charging of multiple toy cars can be supported; with the improvement of sensor accuracy and the optimization of path planning algorithms, the system can better adapt to different obstacle types, sizes and environmental changes, and has strong scalability.

[0175] Toy cars with automatic path planning and dynamic obstacle avoidance functions will be significantly different from products with traditional manual charging or simple automatic charging systems in the market, increasing the market appeal of the products; this solution lays the foundation for the development of smart toys in the future and can be expanded to more complex tasks, such as automatically avoiding dynamic obstacles and linking with smart home systems.

[0176] When the toy car arrives at the wireless charging station, the method of starting the wireless charging station to charge the toy car is as follows:

[0177] The sensor detects the contact between the toy car and the charging base, and once the contact is successful, the charging start mechanism is triggered;

[0178] After confirming that the toy car is successfully docked with the wireless charging station, the charging process is automatically started to charge the battery of the toy car.

[0179] The solution implements a fully automated charging start mechanism, without the need for users to manually operate or adjust any settings. As soon as the toy car reaches the charging station, the system automatically starts the charging process after detecting the contact through the sensor. This provides a convenient user experience, especially for children or users who are not familiar with technology; the charging start is completely controlled by the system, avoiding charging start failure or delay caused by human error, ensuring a smoother charging process.

[0180] The precise contact between the toy car and the charging base is detected by a sensor (such as a contact sensor or a position sensor) to ensure the accuracy of the charging process. This can avoid charging failures caused by inaccurate docking, thereby improving the efficiency and success rate of charging; and ensure that charging is started only after the toy car and the charging base are successfully docked, reducing the situation of charging interruption or incomplete charging caused by unstable contact or loose docking.

[0181] The charging start mechanism will only start when the toy car is correctly docked with the charging base, avoiding the situation where the charging base starts charging when the toy car is not correctly docked. This can ensure a safer charging process and avoid ineffective work of the charger, reducing energy waste; through precise charging control, the system can effectively prevent overcharging, help extend battery life and improve charging safety.

[0182] A toy car battery charging system, comprising:

[0183] A wireless charging stand, used for wirelessly charging the toy car, and having a preset base coordinate position;

[0184] Control unit for:

[0185] Obtaining the position of the wireless charging base and setting the position as the basic coordinate position;

[0186] Set the automatic standby time of the toy car;

[0187] Set rest periods for toy cars;

[0188] Determine the start state of the toy car. If the toy car is in the standby state, further perform the following operations:

[0189] Determine the current time node, and if the current time node is in the rest time period, continue to perform the following operations;

[0190] Get the current position of the toy car and set it as the coordinate position of the charging target;

[0191] Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat;

[0192] A driving system, used to respond to the command of the control unit and drive the toy car to automatically move to the position of the wireless charging seat;

[0193] The wireless charging start module is used to start the wireless charging process after the toy car arrives at the wireless charging seat, and transmit electrical energy to the toy car for charging.

[0194] 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, wherein the processor implements the above-mentioned toy car battery charging method when executing the program.

[0195] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the toy car battery charging method described above is implemented.

[0196] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0197] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0198] Of course, the above are only typical examples of the present invention. In addition to these, the present invention may also have many other specific implementations. Any technical solutions formed by equivalent replacement or equivalent transformation fall within the scope of protection required by the present invention. Of course, the above are only typical examples of the present invention. In addition to these, the present invention may also have many other specific implementations. Any technical solutions formed by equivalent replacement or equivalent transformation fall within the scope of protection required by the present invention.

Claims

1. A method for charging a toy car battery, characterized in that , including the following steps: Get the position of the wireless charging station and set it as the base coordinate position; Set the automatic standby time of the toy car; Set rest periods for toy cars; Determine the start-up state of the toy car. If the toy car is in the standby state, further perform the following steps: Determine the current time node, if the current time node is in the rest time period, continue to perform the following steps; Get the current position of the toy car and set it as the coordinate position of the charging target; Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat; When the toy car arrives at the wireless charging seat, the wireless charging seat is started to charge the toy car.

2. The toy car battery charging method according to claim 1, characterized in that: The method to obtain the position of the wireless charging station and set it as the basic coordinate position is: Through the wireless signal receiving module, the signal strength between the wireless charging station transmitter is detected to determine the existence of the signal source; Using a positioning sensor to measure the relative distance and angle between the toy car and the wireless charging station; According to the measured relative position and the known coordinates of the wireless charging base, the absolute coordinates of the wireless charging base in the toy car coordinate system are calculated; The calculated position of the wireless charging base is set as the base coordinate position.

3. The toy car battery charging method according to claim 2, characterized in that: The method to determine the starting state of a toy car is: The starting status of the toy car is monitored in real time through the built-in status sensor; If it is in shutdown state, determine whether the shutdown time meets the threshold of automatic standby time; If the threshold of the automatic standby time is met, it is determined whether the battery power of the toy car is lower than a preset threshold to determine whether it needs to be charged; If the toy car is in low battery state, mark it as standby state; Check whether the control system of the toy car receives the start command. If not, the control system maintains the standby state.

4. The method for charging a toy car battery according to claim 3, characterized in that: The method to obtain the current position of the toy car is: Activate the positioning sensor of the toy car; The positioning sensor collects the position information of the surrounding environment of the toy car in real time, and the position information includes distance, angle and direction data; Compare the collected data with the known basic coordinate position to calculate the current position coordinate of the toy car; The calculated current position coordinates are stored in the control system of the toy car.

5. The method for charging a toy car battery according to claim 4, characterized in that: Control the toy car to automatically move to the wireless charging station: Get the location information of the wireless charging station and set the location as the basic coordinate location. The current position of the toy car is obtained through the positioning system of the toy car. Based on the current position of the toy car and the basic coordinate position of the wireless charging station, a path planning algorithm is used to calculate the best path from the current position of the toy car to the wireless charging station; Through the control system, the driving control is carried out according to the calculated path, and the forward speed, steering angle and acceleration of the toy car are adjusted to ensure that the car automatically drives according to the predetermined path; When the toy car approaches the wireless charging station, the control system automatically slows down and accurately adjusts the driving route according to the deviation between the current position and the target position to ensure that the toy car accurately stops on the charging station.

6. The method for charging a toy car battery according to claim 5, characterized in that: Using the path planning algorithm, the method to calculate the best path for the toy car from its current position to the wireless charging station is: An environmental map is established in the control system of the toy car to indicate the traversable area and obstacle area of ​​the toy car; The environment is divided into a node graph. The nodes in the graph represent different locations, the edges represent possible driving routes, and the obstacle areas are set as inaccessible areas. Input the current position of the toy car and the position of the wireless charging station into the path planning system; By traversing all possible paths, calculate the shortest path from the current location to the wireless charging station; Assume that the map consists of multiple nodes and edges connecting these nodes, and each node has a weight representing the distance; The algorithm starts from the starting node, gradually selects the node with the shortest path, and updates the path cost of its adjacent nodes until it reaches the target node; Obtain obstacle information in front of the toy car in real time and detect and identify real-time obstacles in combination with environmental sensors; During the driving process of the toy car, if an obstacle is detected, the control system will recalculate the path between the current node and the target node according to the Dijkstra algorithm; The system dynamically adjusts the current driving path through real-time updated environmental maps and obstacle data to ensure that the car avoids collisions and continues to drive to the target location; According to the calculated optimal path, the control system controls the driving module of the toy car and performs the following steps: Drive along the planned path, adjusting the wheel angle and speed to ensure accurate tracking of the path; Adjust driving speed and direction based on sensor feedback to ensure possible obstacles are avoided; During the movement, if new obstacles or environmental changes are encountered, the path will be recalculated and adjusted to ensure that it reaches the wireless charging station.

7. The method for charging a toy car battery according to claim 1, characterized in that: When the toy car arrives at the wireless charging station, the method of starting the wireless charging station to charge the toy car is as follows: The sensor detects the contact between the toy car and the charging base, and once the contact is successful, the charging start mechanism is triggered; After confirming that the toy car is successfully docked with the wireless charging station, the charging process is automatically started to charge the battery of the toy car.

8. A toy car battery charging system, characterized in that: Included are: A wireless charging stand, used for wirelessly charging the toy car, and having a preset base coordinate position; Control unit for: Obtaining the position of the wireless charging base and setting the position as the basic coordinate position; Set the automatic standby time of the toy car; Set rest periods for toy cars; Determine the start state of the toy car. If the toy car is in the standby state, further perform the following operations: Determine the current time node, and if the current time node is in the rest time period, continue to perform the following operations; Get the current position of the toy car and set it as the coordinate position of the charging target; Control the toy car to automatically move to the wireless charging seat until the toy car reaches the wireless charging seat; A driving system, used to respond to the command of the control unit and drive the toy car to automatically move to the position of the wireless charging seat; The wireless charging start module is used to start the wireless charging process after the toy car arrives at the wireless charging seat, and transmit electrical energy to the toy car for charging.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the toy car battery charging method as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the toy car battery charging method as described in any one of claims 1 to 7 is implemented.

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