Parking posture control system for two-wheeled vehicle

Abstract

The invention discloses a parking attitude control system for a two-wheeled vehicle, and the system is characterized in that through the cooperative work of a sensor module, a calculation module, a control module and a feedback system, the sensor module senses the angles of front and rear wheels, the attitude of a vehicle body, the ground slope, the load, the friction coefficient and other information of the vehicle in real time; the calculation module can dynamically calculate the optimal parking posture most suitable for the current environment based on the real-time data and an optimization algorithm, and it is ensured that the vehicle can be kept stable under different ground conditions. The control module accurately adjusts the angles and the lengths of the single support and the double support according to the calculation result, the position of the supporting frame is accurately controlled through an electric servo system, and it is ensured that the vehicle reaches the optimal posture in the parking process and is prevented from inclining or falling to the ground. The feedback system plays a key role in the process, monitors the precision of the support frame in the adjusting process in real time, and returns feedback data to the calculation module and the control module, so that the system is always kept in the optimal adjusting state.

Description

Technical Field

[0001] The present application relates to the technical field of parking posture control for two-wheeled vehicles, and in particular to a parking posture control system for two-wheeled vehicles. Background Art

[0002] With the acceleration of urbanization and the surge in two-wheeled vehicle use, particularly the prevalence of new modes of transportation like electric bicycles and motorcycles, addressing the potential tilting and instability of two-wheeled vehicles during parking has become a pressing issue. Two-wheeled vehicle parking not only affects vehicle safety but also the efficiency of urban traffic management and user convenience. Especially in high-density urban environments and complex terrain, parking stability directly impacts the safety of riders and other traffic participants.

[0003] Existing two-wheeled vehicle parking technologies mostly rely on traditional support frames (such as single or double supports) that maintain vehicle balance through simple mechanical structures. However, with the increasing complexity of urban ground conditions (such as uneven surfaces, slopes, or slippery roads), these traditional support devices often fail to meet the safety and stability requirements of modern two-wheeled vehicle parking. In particular, in some special circumstances, a single support device may cause the vehicle to tilt or even fall due to instability, resulting in property damage or personal injury.

[0004] Existing technical solutions generally rely on manual adjustment of the parking support's angle and length, lacking automated or intelligent adjustment capabilities. Furthermore, existing systems fail to fully account for the impact of vehicle dynamics on parking posture, such as vehicle load, center of gravity shifts, or changes in ground slope. This makes it difficult for existing technologies to provide continuous stability support in complex environments.

[0005] Therefore, in the two-wheeled vehicle parking system, how to achieve intelligent, automated, and real-time adjustments to cope with changes in complex environments and avoid vehicle tilting or instability problems caused by environmental changes in traditional support devices has become a technical problem that needs to be solved urgently. Summary of the Invention

[0006] The present application provides a two-wheeled vehicle parking posture control system, which aims to solve the problem of vehicle tilting or instability caused by environmental changes in traditional support devices.

[0007] A two-wheeled vehicle parking posture control system, the system comprising:

[0008] The sensor module is used to sense and collect information about the vehicle's front and rear wheel angles, body posture, ground slope, load, and friction coefficient in real time, providing vehicle status and parking environment data;

[0009] The calculation module receives and processes the data transmitted by the sensor module, and calculates the optimal parking posture that adapts to the current ground conditions by combining the vehicle dynamics model, environmental parameters and optimization algorithm;

[0010] The control module controls the angle and length of the single and double supports according to the calculation results of the calculation module, and accurately adjusts the position of the support frame to ensure stable parking of the vehicle;

[0011] The feedback system is connected to the control module to monitor the adjustment status of the support frame in real time and return feedback information to the calculation module and control module to ensure the accuracy and timeliness of the support frame adjustment;

[0012] The communication interface module is used to connect the computing module to the cloud platform, vehicle APP or other smart devices, supporting remote monitoring, data upload and system updates.

[0013] In the above solution, optionally, the sensor module includes:

[0014] Front and rear wheel angle sensors are used to measure the inclination angle of the vehicle's front and rear wheels relative to the ground in real time to ensure the vehicle's stability under different ground conditions;

[0015] Accelerometers and gyroscopes are used to sense the vehicle's acceleration, direction changes, and posture changes, and obtain dynamic information about the vehicle;

[0016] Ground slope sensor, used to monitor the slope of the parking lot in real time and adjust the parking posture based on information such as the vehicle's center of gravity and load;

[0017] Load sensor, used to detect vehicle load conditions, calculate the center of gravity, and provide data support for calculating the optimal posture;

[0018] The friction coefficient sensor is used to sense the changes in friction between the ground and the vehicle support frame and optimize the adjustment strategy of the support frame.

[0019] In the above solution, optionally, the calculation module calculates the optimal parking posture through the following steps:

[0020] The vehicle dynamics model is used to analyze the vehicle's stability in its current state using data such as front and rear wheel angles, ground slope, load, center of gravity, and friction coefficient provided by the sensor module.

[0021] Based on the optimization algorithm, the optimal parking angle and support frame configuration of the vehicle in the current parking environment are calculated taking into account factors such as ground friction, slope changes, and vehicle load;

[0022] The calculated parking posture should take into account multiple stability factors, including the vehicle's load status, center of gravity distribution, ground friction, etc., to ensure that the vehicle will not tilt or fall over due to slight changes in external force after parking.

[0023] In the above solution, optionally, the control module includes:

[0024] The electric servo drive system is used to precisely adjust the angle and length of the single and double supports so that the vehicle posture is adjusted to the calculated optimal parking angle;

[0025] The actuator, including a servo motor and a stepper motor, is used to adjust the angle and length of the support frame to ensure that the vehicle enters the calculated optimal parking posture;

[0026] The feedback control system monitors the status of the support frame in real time through position sensors and force sensors to ensure the adjustment accuracy of the support frame.

[0027] In the above solution, optionally, the system further includes:

[0028] Fault detection and recovery module, which is used to monitor the working status of each sensor, control module and actuator in the system, and detect and handle faults in a timely manner through self-diagnosis algorithms;

[0029] Redundant design configures backup modules in key components to ensure that when the main module fails, the system can switch to the backup module and continue to perform parking control tasks, ensuring system stability.

[0030] In the above solution, optionally, the system includes a wireless communication module that supports the following functions:

[0031] Real-time data upload: the vehicle's posture data, environmental data, load data, etc. are uploaded to the cloud platform for storage in real time through the wireless communication module;

[0032] Remote fault diagnosis and repair: The cloud platform provides real-time fault detection, software updates, and maintenance services. Users can check system status through the remote monitoring platform.

[0033] The OTA function supports remote software upgrades, system optimization, and new function installation, improving the long-term maintainability of the system.

[0034] In the above solution, optionally, the system further includes an in-vehicle APP interaction system, whose functions include:

[0035] Personalized parking mode settings: users can customize parameters such as the angle of the support frame and posture adjustment strategy during parking through the APP;

[0036] Intelligent parking recommendation: the system provides intelligent parking solutions based on the user's parking history, environmental factors and load conditions, and automatically calculates the optimal parking angle and support frame configuration;

[0037] Real-time status monitoring and adjustment: users can view the current vehicle parking posture, support frame status and fault information on the APP and make remote adjustments.

[0038] In the above solution, optionally, the system further includes an intelligent parking guidance module having the following functions:

[0039] Environmental perception and analysis: using on-board sensors to perceive the parking environment and automatically determine the slope, obstacles, and space size of the parking lot;

[0040] Automatic parking decision-making: Based on ground conditions, parking position and vehicle load, the system automatically calculates and adjusts the optimal parking posture without user intervention.

[0041] In the above solution, optionally, the system displays the following information in real time via the vehicle-mounted display module:

[0042] Vehicle posture diagram, showing the vehicle's front and rear wheel angles, support frame angles, load status, etc., to help users understand the parking status;

[0043] Real-time parking suggestions: Based on the parking environment and vehicle conditions, the system provides users with intelligent parking suggestions through the display module or voice assistant.

[0044] In the above solution, optionally, the system has a modular design, including:

[0045] Replaceable functional modules include anti-theft monitoring module, intelligent charging module, and GPS positioning module.

[0046] Compared with the prior art, this application has at least the following beneficial effects:

[0047] Based on further analysis and research of existing technical issues, this application recognizes the problem of conventional support devices causing vehicle tilt or instability due to environmental changes. By introducing a sensor module, a computing module, a control module, and a feedback system that work together, this application significantly addresses the problem of vehicle tilt and instability caused by the inability of conventional two-wheeled vehicle support systems to adapt to complex ground conditions, as mentioned in the background art. The sensor module uses real-time sensing of information such as the vehicle's front and rear wheel angles, body posture, ground slope, load, and friction coefficient. Based on this real-time data and an optimization algorithm, the computing module dynamically calculates the optimal parking posture that best suits the current environment, ensuring the vehicle remains stable under varying ground conditions. The control module precisely adjusts the angles and lengths of the single and double supports based on the calculated results, and an electric servo system precisely controls the position of the support frame to ensure the vehicle achieves the optimal parking posture during parking and prevents tilting or falling. The feedback system plays a key role in this process, monitoring the accuracy of the support frame adjustment in real time and providing feedback to the computing and control modules to ensure the system remains optimally adjusted. Through this solution, the system can automatically adapt to factors such as environmental changes, vehicle load and ground slope, avoiding the instability caused by static adjustment or manual operation in traditional technologies, providing an intelligent, dynamically adaptive parking solution, and greatly improving the safety and stability of parking. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a block diagram of the module architecture of a two-wheeled vehicle parking posture control device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0050] In one embodiment, Figure 1 As shown, a two-wheeled vehicle parking posture control system is provided, comprising:

[0051] The sensor module is used to sense and collect information about the vehicle's front and rear wheel angles, body posture, ground slope, load, and friction coefficient in real time, providing vehicle status and parking environment data;

[0052] The calculation module receives and processes the data transmitted by the sensor module, and calculates the optimal parking posture that adapts to the current ground conditions by combining the vehicle dynamics model, environmental parameters and optimization algorithm;

[0053] The control module controls the angle and length of the single and double supports according to the calculation results of the calculation module, and accurately adjusts the position of the support frame to ensure stable parking of the vehicle;

[0054] The feedback system is connected to the control module to monitor the adjustment status of the support frame in real time and return feedback information to the calculation module and control module to ensure the accuracy and timeliness of the support frame adjustment;

[0055] The communication interface module is used to connect the computing module to the cloud platform, vehicle APP or other smart devices, supporting remote monitoring, data upload and system updates.

[0056] In this embodiment, the sensor module plays a crucial role in the system, responsible for real-time acquisition and processing of vehicle dynamic data and external environmental information. This module includes front and rear wheel angle sensors, an accelerometer, a gyroscope, a ground slope sensor, a load sensor, and a friction coefficient sensor.

[0057] Front and rear wheel angle sensors: These sensors measure the angles of the front and rear wheels relative to the ground, providing real-time feedback on the vehicle's tilt. Data from these sensors is crucial for determining whether the vehicle is in the optimal parking position. They provide precise angle data, ensuring the system can perceive dynamic changes in the vehicle.

[0058] Accelerometers and gyroscopes: These sensors detect the vehicle's acceleration and angular velocity in real time to obtain dynamic posture data. This data reflects the vehicle's actual motion state and provides a basis for subsequent posture adjustments.

[0059] Ground slope sensor: By detecting changes in the ground slope, the sensor can determine whether the parking position is on a slope or uneven ground, which is important for the system to calculate the optimal parking posture.

[0060] Load sensor: Real-time perception of the vehicle's load condition and center of gravity position, ensuring that the system can adjust the optimal parking angle according to changes in vehicle load and avoid tilting due to uneven load.

[0061] Friction coefficient sensor: Monitors the friction between the vehicle support frame and the ground, optimizes the support frame adjustment strategy, and ensures that the parking process is not affected by slippery ground or changes in friction.

[0062] The core task of the calculation module is to calculate the optimal parking posture based on the data provided by the sensor module, combined with vehicle dynamics models and optimization algorithms. This module uses a complex algorithm model to comprehensively consider various sensor data (such as wheel angle, road slope, load, and friction coefficient) to dynamically calculate the vehicle's optimal parking posture.

[0063] Dynamic model: The calculation module uses the vehicle's dynamic model to analyze the vehicle's stability under different loads and different ground slopes, and calculates the optimal parking angle based on actual physical parameters (such as vehicle size, center of gravity position, wheelbase, etc.).

[0064] Optimization algorithm: Use optimization algorithms (such as particle swarm optimization, genetic algorithm, etc.) to take into account the impact of external factors (such as slope, friction coefficient) on parking posture, ensuring that the vehicle can achieve the best posture in different environments and avoid tilting or falling.

[0065] Real-time adjustment mechanism: The output of the calculation module is a dynamically adjusted parking posture parameter. When the system detects that the vehicle posture deviates from the optimal state, it can quickly adjust the calculation result and perform corresponding adjustments through the control module.

[0066] The control module's function is to precisely adjust the angles and lengths of the single and double supports based on the calculation module's output, thereby adjusting the vehicle's parking posture. This module uses an electric servo drive system and stepper motors to precisely control the movement of the supports, ensuring the vehicle achieves the optimal parking posture.

[0067] Electric Servo Drive System: Based on the instructions from the computing module, the drive system uses servo motors to adjust the angle of the support frame, enabling precise and rapid adjustments to the vehicle's posture. The precise control of the servo motors ensures smooth and stable adjustment of the support frame during adjustment.

[0068] Stepper motor and actuator: The stepper motor controls the precise adjustment of the support frame to ensure the stability of the vehicle's center of gravity during the adjustment process and avoid vehicle instability caused by excessive or slow adjustment.

[0069] The feedback system, comprised of position and force sensors, monitors the support frame's status in real time. This system promptly detects whether the support frame's adjustments are as expected and transmits real-time feedback to the control module, enabling necessary corrections.

[0070] Position sensor: detects the position of the support frame in real time to ensure its accuracy during adjustment.

[0071] Force sensor: Ensures the stability of the vehicle when parked by monitoring the contact force between the support frame and the ground, and corrects any instability.

[0072] The communication interface module enables data interaction between the computing module and external devices (such as cloud platforms and in-vehicle apps), supporting remote monitoring, fault diagnosis, and software updates.

[0073] Remote monitoring: Real-time data on vehicle status and support frames are uploaded to the cloud platform via wireless communication. Users can check parking status through a mobile phone app, ensuring the intelligence and remote controllability of the system.

[0074] Fault diagnosis and software update: Through wireless communication, the system can realize remote fault diagnosis and perform system updates through OTA (over-the-air download).

[0075] Traditional two-wheeled vehicle support systems cannot adapt to different ground conditions, which can easily cause the vehicle to tilt or fall, posing a safety hazard. The present invention uses a sensor module to sense the vehicle posture and ground conditions in real time, and combines the optimization algorithm of the calculation module to calculate the optimal parking posture, ensuring the stability of the vehicle in complex environments, thus solving the shortcomings of traditional support frames. The calculation module dynamically adjusts the parking posture based on the data collected in real time to avoid vehicle instability caused by changes in ground slope or load. Through this dynamic adaptive mechanism, the present invention can effectively ensure the stable parking of the vehicle, avoiding the instability caused by manual operation or static adjustment in traditional technologies.

[0076] The intelligent parking system of this embodiment can automatically adjust the parking posture of the vehicle according to different environmental changes (such as slope, slippery ground, etc.). Through optimization algorithms, dynamic models and real-time data adjustment, the system provides an intelligent and adaptive parking solution.

[0077] The feedback system ensures the accuracy of each parking process, and real-time adjustments ensure that the angle of the support frame is consistent with the calculated results, further improving the stability of the system.

[0078] This embodiment features a fault detection and recovery mechanism, ensuring normal operation of the system in the event of sensor or actuator module failure through redundant design. The fault detection module can promptly alert the user when a system problem occurs, and remote diagnosis can be performed via the wireless communication module to ensure safe parking of the vehicle.

[0079] The system interacts with users through an in-vehicle app, offering personalized settings and intelligent parking guidance, allowing users to easily customize their parking preferences. Remote monitoring and intelligent reminders allow users to monitor their vehicle's parking status at all times, enhancing both convenience and intelligence.

[0080] This embodiment combines multiple sensors with advanced optimization algorithms to provide an intelligent, adaptive parking posture control system for two-wheeled vehicles. The system dynamically adjusts the parking posture, resolving the issue of traditional parking support devices failing to ensure stable parking in complex environments. This significantly improves parking safety and stability, while also enhancing the system's intelligence and remote control capabilities, promising broad market application prospects.

[0081] In this embodiment, the sensor module includes:

[0082] Front and rear wheel angle sensors are used to measure the inclination angle of the vehicle's front and rear wheels relative to the ground in real time to ensure the vehicle's stability under different ground conditions;

[0083] Accelerometers and gyroscopes are used to sense the vehicle's acceleration, direction changes, and posture changes, and obtain dynamic information about the vehicle;

[0084] Ground slope sensor, used to monitor the slope of the parking lot in real time and adjust the parking posture based on information such as the vehicle's center of gravity and load;

[0085] Load sensor, used to detect vehicle load conditions, calculate the center of gravity, and provide data support for calculating the optimal posture;

[0086] The friction coefficient sensor is used to sense the changes in friction between the ground and the vehicle support frame and optimize the adjustment strategy of the support frame.

[0087] In this embodiment, the calculation module calculates the optimal parking posture through the following steps:

[0088] The vehicle dynamics model is used to analyze the vehicle's stability in its current state using data such as front and rear wheel angles, ground slope, load, center of gravity, and friction coefficient provided by the sensor module.

[0089] Based on the optimization algorithm, the optimal parking angle and support frame configuration of the vehicle in the current parking environment are calculated taking into account factors such as ground friction, slope changes, and vehicle load;

[0090] The calculated parking posture should take into account multiple stability factors, including the vehicle's load status, center of gravity distribution, ground friction, etc., to ensure that the vehicle will not tilt or fall over due to slight changes in external force after parking.

[0091] In this embodiment, the control module includes:

[0092] The electric servo drive system is used to precisely adjust the angle and length of the single and double supports so that the vehicle posture is adjusted to the calculated optimal parking angle;

[0093] The actuator, including a servo motor and a stepper motor, is used to adjust the angle and length of the support frame to ensure that the vehicle enters the calculated optimal parking posture;

[0094] The feedback control system monitors the status of the support frame in real time through position sensors and force sensors to ensure the adjustment accuracy of the support frame.

[0095] In this embodiment, the system further includes:

[0096] Fault detection and recovery module, which is used to monitor the working status of each sensor, control module and actuator in the system, and detect and handle faults in a timely manner through self-diagnosis algorithms;

[0097] Redundant design configures backup modules in key components to ensure that when the main module fails, the system can switch to the backup module and continue to perform parking control tasks, ensuring system stability.

[0098] In this embodiment, the system includes a wireless communication module that supports the following functions:

[0099] Real-time data upload: the vehicle's posture data, environmental data, load data, etc. are uploaded to the cloud platform for storage in real time through the wireless communication module;

[0100] Remote fault diagnosis and repair: The cloud platform provides real-time fault detection, software updates, and maintenance services. Users can check system status through the remote monitoring platform.

[0101] The OTA function supports remote software upgrades, system optimization, and new function installation, improving the long-term maintainability of the system.

[0102] In this embodiment, the system also includes an in-vehicle APP interaction system, whose functions include:

[0103] Personalized parking mode settings: users can customize parameters such as the angle of the support frame and posture adjustment strategy during parking through the APP;

[0104] Intelligent parking recommendation: the system provides intelligent parking solutions based on the user's parking history, environmental factors and load conditions, and automatically calculates the optimal parking angle and support frame configuration;

[0105] Real-time status monitoring and adjustment: users can view the current vehicle parking posture, support frame status and fault information on the APP and make remote adjustments.

[0106] In this embodiment, the system further includes an intelligent parking guidance module having the following functions:

[0107] Environmental perception and analysis: using on-board sensors to perceive the parking environment and automatically determine the slope, obstacles, and space size of the parking lot;

[0108] Automatic parking decision-making: Based on ground conditions, parking position and vehicle load, the system automatically calculates and adjusts the optimal parking posture without user intervention.

[0109] In this embodiment, the system displays the following information in real time through the vehicle display module:

[0110] Vehicle posture diagram, showing the vehicle's front and rear wheel angles, support frame angles, load status, etc., to help users understand the parking status;

[0111] Real-time parking suggestions: Based on the parking environment and vehicle conditions, the system provides users with intelligent parking suggestions through the display module or voice assistant.

[0112] In this embodiment, the system has a modular design, including: replaceable functional modules, specifically including an anti-theft monitoring module, an intelligent charging module, and a GPS positioning module.

[0113] In one embodiment, with the development of society, the use of two-wheeled vehicles, such as bicycles, electric vehicles, and motorcycles, has become increasingly widespread. However, when parking a two-wheeled vehicle, due to factors such as terrain, ground conditions, or improper driver operation, the vehicle can easily tip over, resulting in a safety accident. Therefore, how to achieve safe parking of a two-wheeled vehicle has become an urgent problem to be solved. The purpose of this embodiment is to provide a two-wheeled vehicle parking posture control system to achieve safe parking of a two-wheeled vehicle.

[0114] To achieve the above objectives, this embodiment adopts the following technical solutions:

[0115] A two-wheeled vehicle parking posture control system, comprising:

[0116] Sensor module: used to sense the current level state and body posture of the vehicle;

[0117] Calculation module: calculates the optimal parking posture based on the data sensed by the sensor module;

[0118] Control module: According to the results obtained by the calculation module, the angle and length of the single support and double support are controlled to achieve safe parking.

[0119] When the user issues a parking command, the sensor module starts working to sense the current vehicle's horizontal state and body posture in real time;

[0120] The calculation module receives the data from the sensor module and calculates the optimal parking posture under the current environment through a preset algorithm;

[0121] Based on the results obtained by the calculation module, the control module sends control signals to the single and double supports to adjust their angles and lengths so that the vehicle reaches the optimal parking posture;

[0122] During the parking process, the sensor module continuously senses changes in the vehicle's posture, and the computing module and control module make adjustments based on actual conditions to ensure that the vehicle always remains safely parked.

[0123] For example, when a user needs to park an electric bicycle, they issue a parking command via a button or voice command. At this point, the front and rear wheel angle sensors in the sensor module begin to operate, measuring the angles between the front and rear wheels and the ground, respectively. This data is transmitted to the calculation module, which uses a pre-set algorithm and combines the vehicle's center of gravity, dimensions, and other parameters to calculate the optimal parking position that keeps the vehicle stable and prevents it from tipping over.

[0124] The control module then receives the calculation module's results and sends a control signal to the single strut (or double strut, depending on the vehicle design and actual conditions). Upon receiving the signal, the single strut automatically adjusts its angle and length, slowly lowering the vehicle to the calculated optimal parking position. During this process, the sensor module continuously monitors changes in the vehicle's posture and feeds this data back to the calculation and control modules. If the vehicle's posture deviates from the optimal state, the control module promptly adjusts the single strut's angle and length to ensure constant vehicle stability.

[0125] In this way, the parking posture control system for two-wheeled vehicles can significantly improve the safety and convenience of parking and reduce the risk of accidents caused by improper parking.

[0126] This embodiment uses sensors to sense the angles of the front and rear wheels of the vehicle, calculates the optimal parking posture, and controls the angles and lengths of the single and double struts, achieving safe parking of a two-wheeled vehicle. The system has the following advantages:

[0127] Improves the parking safety of two-wheeled vehicles;

[0128] Reduces the risk of safety accidents caused by improper parking;

[0129] Easy to operate and highly intelligent.

[0130] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A two-wheeled vehicle parking posture control system, characterized in that: The system comprises: The sensor module is used to sense and collect information about the vehicle's front and rear wheel angles, body posture, ground slope, load, and friction coefficient in real time, providing vehicle status and parking environment data; The calculation module receives and processes the data transmitted by the sensor module, and calculates the optimal parking posture that adapts to the current ground conditions by combining the vehicle dynamics model, environmental parameters and optimization algorithm; The control module controls the angle and length of the single and double supports according to the calculation results of the calculation module, and accurately adjusts the position of the support frame to ensure stable parking of the vehicle; The feedback system is connected to the control module to monitor the adjustment status of the support frame in real time and return feedback information to the calculation module and control module to ensure the accuracy and timeliness of the support frame adjustment; The communication interface module is used to connect the computing module to the cloud platform, vehicle APP or other smart devices, supporting remote monitoring, data upload and system updates.

2. The two-wheeled vehicle parking posture control system according to claim 1, characterized in that: The sensor module includes: Front and rear wheel angle sensors are used to measure the inclination angle of the vehicle's front and rear wheels relative to the ground in real time to ensure the vehicle's stability under different ground conditions; Accelerometers and gyroscopes are used to sense the vehicle's acceleration, direction changes, and posture changes, and obtain dynamic information about the vehicle; Ground slope sensor, used to monitor the slope of the parking lot in real time and adjust the parking posture based on information such as the vehicle's center of gravity and load; Load sensor, used to detect vehicle load conditions, calculate the center of gravity, and provide data support for calculating the optimal posture; The friction coefficient sensor is used to sense the changes in friction between the ground and the vehicle support frame and optimize the adjustment strategy of the support frame.

3. The parking posture control system for a two-wheeled vehicle according to claim 1, characterized in that: The calculation module calculates the optimal parking posture through the following steps: The vehicle dynamics model is used to analyze the vehicle's stability in its current state using data such as front and rear wheel angles, ground slope, load, center of gravity, and friction coefficient provided by the sensor module. Based on the optimization algorithm, the optimal parking angle and support frame configuration of the vehicle in the current parking environment are calculated taking into account factors such as ground friction, slope changes, and vehicle load; The calculated parking posture should take into account multiple stability factors, including the vehicle's load status, center of gravity distribution, ground friction, etc., to ensure that the vehicle will not tilt or fall over due to slight changes in external force after parking.

4. The two-wheeled vehicle parking posture control system according to claim 1 or 2, characterized in that: The control module includes: The electric servo drive system is used to precisely adjust the angle and length of the single and double supports so that the vehicle posture is adjusted to the calculated optimal parking angle; The actuator, including a servo motor and a stepper motor, is used to adjust the angle and length of the support frame to ensure that the vehicle enters the calculated optimal parking posture; The feedback control system monitors the status of the support frame in real time through position sensors and force sensors to ensure the adjustment accuracy of the support frame.

5. The two-wheeled vehicle parking posture control system according to any one of claims 1 to 4, characterized in that: The system further comprises: Fault detection and recovery module, which is used to monitor the working status of each sensor, control module and actuator in the system, and detect and handle faults in a timely manner through self-diagnosis algorithms; Redundant design configures backup modules in key components to ensure that when the main module fails, the system can switch to the backup module and continue to perform parking control tasks, ensuring system stability.

6. The parking posture control system for a two-wheeled vehicle according to any one of claims 1 to 5, characterized in that: The system includes a wireless communication module that supports the following functions: Real-time data upload: the vehicle's posture data, environmental data, load data, etc. are uploaded to the cloud platform for storage in real time through the wireless communication module; Remote fault diagnosis and repair: The cloud platform provides real-time fault detection, software updates, and maintenance services. Users can check system status through the remote monitoring platform. The OTA function supports remote software upgrades, system optimization, and new function installation, improving the long-term maintainability of the system.

7. The parking posture control system for a two-wheeled vehicle according to any one of claims 1 to 6, characterized in that: The system also includes an in-vehicle APP interaction system, whose functions include: Personalized parking mode settings: users can customize parameters such as the angle of the support frame and posture adjustment strategy during parking through the APP; Intelligent parking recommendation: the system provides intelligent parking solutions based on the user's parking history, environmental factors and load conditions, and automatically calculates the optimal parking angle and support frame configuration; Real-time status monitoring and adjustment: users can view the current vehicle parking posture, support frame status and fault information on the APP and make remote adjustments.

8. The two-wheeled vehicle parking posture control system according to any one of claims 1 to 7, characterized in that: The system also includes an intelligent parking guidance module with the following functions: Environmental perception and analysis: using on-board sensors to perceive the parking environment and automatically determine the slope, obstacles, and space size of the parking lot; Automatic parking decision-making: Based on ground conditions, parking position and vehicle load, the system automatically calculates and adjusts the optimal parking posture without user intervention.

9. The two-wheeled vehicle parking posture control system according to any one of claims 1 to 8, characterized in that: The system displays the following information in real time through the vehicle display module: Vehicle posture diagram, showing the vehicle's front and rear wheel angles, support frame angles, load status, etc., to help users understand the parking status; Real-time parking suggestions: Based on the parking environment and vehicle conditions, the system provides users with intelligent parking suggestions through the display module or voice assistant.

10. The two-wheeled vehicle parking posture control system according to any one of claims 1 to 9, characterized in that: The system has a modular design and includes: Replaceable functional modules include anti-theft monitoring module, intelligent charging module, and GPS positioning module.

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