Intelligent safety early warning and emergency braking linkage device of electric motorcycle

Abstract

The invention relates to the technical field of vehicle safety, and discloses an intelligent safety early warning and emergency braking linkage device for an electric motorcycle. According to the device, the driving state and the surrounding environment of the motorcycle are monitored in real time by integrating various sensors, the relative distance between the motorcycle and an obstacle, the braking distance and the acceleration change rate can be accurately calculated, so that timely early warning of potential dangers is achieved, when abnormal conditions are detected, safety early warning signals can be rapidly sent out, and the safety of the motorcycle is guaranteed. The anti-lock braking system has the advantages that the anti-lock braking system is linked with the anti-lock braking system, emergency braking is automatically executed, the response time of a rider in emergency is effectively shortened, the risk of misjudgment is effectively reduced, the user feedback module provides real-time state information and safety suggestions for the rider through a networking data screen, the safety awareness and the coping capacity of the rider are further enhanced, and the safety of the rider is improved. According to the device, the active safety protection level of the motorcycle is improved, the accident rate can be reduced, and a safer travel environment is created for a rider.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle safety, and particularly to an intelligent safety warning and emergency braking linkage device for an electric motorcycle. Background Art

[0002] With the acceleration of the urbanization process and the increase in traffic demand, electric motorcycles have gradually become an important means of transportation for people's daily travel due to their environmental protection, economy, and flexibility. However, the popularization of electric motorcycles has also led to an exacerbation of traffic safety problems. Statistical data shows that the incidence of motorcycle riding accidents is higher than that of other types of vehicles. Especially in the complex urban traffic environment, riders face potential threats from vehicles, pedestrians, and other obstacles. Due to the characteristics of electric motorcycles, riders often have difficulty reacting in a timely manner in emergency situations, resulting in frequent accidents.

[0003] The existing motorcycle riding lacks an effective safety warning system and usually cannot quickly respond to complex traffic conditions, resulting in slow reaction speed and judgment errors of riders in the face of emergencies, thereby increasing the risk of accidents. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an intelligent safety warning and emergency braking linkage device for an electric motorcycle. By integrating a variety of sensors to real-time monitor the driving state and surrounding environment of the motorcycle, it can accurately calculate the relative distance, braking distance, and acceleration change rate between the motorcycle and obstacles, thereby realizing timely warning of potential dangers. When an abnormal situation is detected, it can quickly send out a safety warning signal and be linked with the anti-lock braking system to automatically execute emergency braking, effectively reducing the reaction time of riders in emergency situations and the risk of judgment errors. In addition, the user feedback module provides real-time status information and safety suggestions to riders through the networked data screen, further enhancing the safety awareness and response ability of riders.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solutions: An intelligent safety warning and emergency braking linkage device for an electric motorcycle, comprising a data acquisition module, a data processing module, a warning module, an emergency braking module, and a user feedback module;

[0008] The data acquisition module obtains motorcycle impact data in real time, including motorcycle driving speed, motorcycle acceleration, motorcycle tilt angle, distance between the motorcycle and obstacles, motorcycle position information, and motorcycle surrounding environment information;

[0009] The data processing module is used to analyze the impact data of the motorcycle, calculate the relative distance between the motorcycle and the obstacle, the braking distance of the motorcycle and the acceleration change rate of the motorcycle, and perform real-time intelligent evaluation of the motorcycle's driving conditions. The data evaluation and analysis results are sent to the early warning module;

[0010] The warning module analyzes the received data evaluation and analysis results, and when abnormal data is analyzed, it sends a safety warning signal to the emergency braking module;

[0011] When the emergency brake module receives the safety warning signal, it will work in conjunction with the anti-lock brake system to automatically perform emergency braking;

[0012] The user feedback module is connected to a networked data screen to display the current status of the motorcycle, warning information and driving data to the user, and provide motorcycle driving safety suggestions.

[0013] Preferably, the data acquisition module includes a speed sensor for measuring the speed of the motorcycle, an acceleration sensor for measuring the acceleration of the motorcycle, a tilt sensor for measuring the tilt angle of the motorcycle, and a laser distance sensor for measuring the distance between the motorcycle and an obstacle.

[0014] Preferably, the data acquisition module also includes an environmental sensor for acquiring information about the motorcycle's surroundings.

[0015] Preferably, the data processing module further includes a fault detection submodule for independently monitoring and diagnosing key system faults of the motorcycle and adjusting the data evaluation strategy according to the fault type.

[0016] Preferably, the relative distance calculation formula between the motorcycle and the obstacle is as follows:

[0017] D relative =D obstacle -D motorcycle

[0018] In the formula, D relative Indicates the relative distance between the motorcycle and the obstacle, D obstacle Indicates the distance between the actual position of the obstacle and the starting point of the road, D motorcycle Indicates the distance between the motorcycle's position and the start of the road.

[0019] Preferably, the braking distance calculation formula of the motorcycle is as follows:

[0020]

[0021] In the formula, d brake Indicates the braking distance of the motorcycle, V currentrepresents the current driving speed of the motorcycle, a brake represents the braking acceleration of the motorcycle.

[0022] Preferably, the calculation formula for the acceleration change rate of the motorcycle is as follows:

[0023]

[0024] In the formula, AR represents the acceleration change rate of the motorcycle, a current represents the current acceleration of the motorcycle, a previous represents the acceleration of the motorcycle at the previous moment, and Δt represents the time interval required for the acceleration change.

[0025] Preferably, the algorithm for real-time intelligent evaluation of the driving road conditions of the motorcycle is as follows:

[0026] Safe Status = f(D relative ,V current ,a bike ,a brake ,road condition)

[0027] In the formula, Safe Status represents the current safety status of the motorcycle, and the value range is [0, 1], where 0 represents high danger and 1 represents safety. D relative represents the relative distance between the motorcycle and the obstacle, V current represents the current speed of the motorcycle, a bike represents the current acceleration of the motorcycle, a brake represents the braking acceleration, road condition represents the road condition parameter, and f(*) represents the evaluation function.

[0028] Preferably, the emergency braking module has an intelligent adaptation function for dynamically adjusting the braking force according to the current speed and driving conditions of the motorcycle.

[0029] Preferably, the user feedback module has a voice prompt function for informing the user of the current driving status and safety suggestions by voice during driving.

[0030] Compared with the prior art, the present invention provides an intelligent safety warning and emergency braking linkage device for an electric motorcycle, which has the following beneficial effects:

[0031] The present invention monitors the driving state and surrounding environment of a motorcycle in real time by integrating multiple sensors, and can accurately calculate the relative distance, braking distance, and acceleration change rate between the motorcycle and obstacles, thereby realizing timely early warning of potential dangers. When abnormal situations are detected, it can quickly issue a safety warning signal and be linked with the anti-lock braking system to automatically execute emergency braking, effectively reducing the reaction time of riders in emergency situations and the risk of misjudgment. In addition, the user feedback module provides real-time status information and safety suggestions to riders through an internet-connected data screen, further enhancing the safety awareness and response ability of riders. This device not only improves the active safety protection level of motorcycles, but also helps to reduce the accident rate and creates a safer travel environment for riders. Description of the Drawings

[0032] Figure 1 It is a schematic diagram of the system flow of the device of the present invention. Detailed Embodiments

[0033] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] Aiming at the problem that the existing motorcycle riding lacks an effective safety warning system and usually cannot quickly respond to complex traffic conditions, resulting in slow reaction speed and misjudgment of riders in the face of emergencies, thereby increasing the risk of accidents, an intelligent safety warning and emergency braking linkage device for electric motorcycles is proposed. Please refer to Figure 1 This device includes a data acquisition module, a data processing module, a warning module, an emergency braking module, and a user feedback module;

[0035] The data acquisition module is a core component of the intelligent safety warning and emergency braking linkage system for electric motorcycles. Its main function is to obtain and process various important data during the driving process of the motorcycle in real time. This module uses a variety of advanced sensor technologies to ensure the accuracy and real-time nature of information;

[0036] The vehicle speed sensor monitors the wheel speed and accurately measures the driving speed of the motorcycle using Hall effect or photoelectric sensing technology. This sensor can quickly respond to speed changes and transmit data to the data processing module in real time, providing a basis for safety assessment;

[0037] The acceleration sensor is a sensor based on micro-electro-mechanical system (MEMS) technology, which can detect the acceleration changes of the motorcycle. By measuring the three-axis acceleration, the system can obtain the dynamic state of the motorcycle during driving, which is crucial for judging the driving stability and emergency response ability of the motorcycle;

[0038] The tilt sensor uses a highly sensitive gyroscope or inclinometer to real-time monitor the tilt angle of the motorcycle. This data is of great significance for judging the tilt condition of the motorcycle during driving and the stability during turning, and can identify potential rollover risks in advance;

[0039] The laser distance sensor uses the principle of laser ranging to accurately measure the distance between the motorcycle and the obstacle in front. This sensor can provide high-resolution distance data in a short time, enabling the system to real-time evaluate potential collision risks and give an alarm in time;

[0040] The data acquisition module is also equipped with environmental sensors for collecting information on the motorcycle's surrounding environment, including temperature, humidity, light intensity, and road conditions, etc. These environmental data not only help to judge the current driving conditions, but also can affect the driving performance and safety of the motorcycle in some cases;

[0041] By adopting a variety of high-tech sensors, the data acquisition module can comprehensively and accurately obtain the driving speed, acceleration, tilt angle of the motorcycle, and the distance from the obstacle, thus providing the necessary data basis for the intelligent safety warning and emergency braking system. In the whole system, the real-time and accuracy of the data acquisition module are crucial, which ensures that the driver can make timely and effective responses with the help of this information, improving the driving safety and reliability;

[0042] The main task of the data processing module is to deeply analyze and calculate the motorcycle impact data collected in real time to ensure the effective monitoring of safety and driving performance. This module first calculates the relative distance between the motorcycle and the obstacle through the data analysis algorithm. The formula is:

[0043] D relative =D obstacle -D motorcycle

[0044] Among them, D relative represents the distance between the motorcycle and the obstacle. If this value is less than the set threshold, the system will give an alarm to prompt the driver of the potential collision risk. Such calculation can achieve the real-time perception of the surrounding environment and enhance the driving safety;

[0045] Secondly, the data processing module is also responsible for calculating the braking distance of the motorcycle. The formula is:

[0046]

[0047] Here, d brake is the braking distance of the motorcycle after applying the brakes, V current represents the current driving speed, and a brake is the braking acceleration of the motorcycle. This calculation can help the system accurately predict the braking distance required in an emergency, ensuring that the motorcycle can stop in time and safely when an obstacle or unexpected situation occurs;

[0048] In addition, the module also calculates the acceleration change rate of the motorcycle, and the formula is as follows:

[0049]

[0050] where a current represents the current acceleration of the motorcycle, a previous represents the acceleration of the motorcycle at the previous moment, and Δt is the time interval. By monitoring the acceleration change, this calculation can evaluate the dynamic stability of the motorcycle during driving, identify the risks brought by excessive acceleration or deceleration, and then make a reaction in advance;

[0051] For the real-time intelligent evaluation of the motorcycle driving road conditions, a comprehensive evaluation function is adopted:

[0052] Safe Status=f(D relative ,V current ,a bike ,a brake ,road condition)

[0053] This function combines multiple parameters, including relative distance, driving speed, current acceleration, braking situation, and road condition factors, so as to form an evaluation index reflecting the current driving safety. This kind of intelligent evaluation can not only be used for real-time safety monitoring, but also dynamically adjust the strategy according to the real-time changing driving environment to ensure the best driving safety;

[0054] In addition, the data processing module also includes a fault detection sub-module. This module independently monitors the key system faults of the motorcycle, analyzes the output signals of the sensors using self-diagnosis algorithms. When a potential fault is detected, this sub-module can quickly identify the fault type and adjust the data evaluation strategy according to the different degrees of fault impact. For example, if a sensor fault causes abnormal data, the system will reduce the weight of this data to ensure that the effectiveness of other data sources is not affected, thus maintaining the overall safety evaluation stability of the system. This ability of real-time monitoring and fault self-diagnosis greatly improves the safety of the electric motorcycle, ensuring that the driver can drive in a safe environment;

[0055] The main function of the warning module is to analyze the evaluation and analysis results from the data processing module in real time. Once the module receives abnormal data, such as the relative distance between the motorcycle and the obstacle being lower than the set safety threshold, the driving speed exceeding the safe range, or the acceleration and braking parameters exceeding the normal working range, the warning module will quickly react, issue a safety warning signal, and transmit this signal immediately to the emergency braking module. This process utilizes a variety of communication technologies, including the CAN bus or in-vehicle network protocol, to ensure the reliability and real-time nature of data transmission;

[0056] After receiving the safety warning signal, the emergency braking module immediately interacts with the anti-lock braking system (ABS) of the motorcycle. This interaction is achieved through the electronic control unit (ECU), which can receive the signal and execute the braking operation within an extremely short time. The ABS can effectively prevent the wheels from locking during emergency braking, ensuring that the motorcycle maintains a controllable driving state during braking, thus avoiding potential dangers such as rollover or loss of control. In addition, the design of the emergency braking module allows it to adapt different braking strategies according to specific driving conditions;

[0057] The emergency braking module has an intelligent adaptation function that can dynamically adjust the braking force according to the current speed of the motorcycle, road conditions, and the rider's driving behavior. For example, when it detects that the motorcycle is driving on a slippery road surface, the system will automatically reduce the braking force to prevent the wheels from locking. On the contrary, under dry and good road conditions, the system can increase the braking force to shorten the braking distance. This ability to dynamically adjust is achieved through advanced control algorithms and real-time data analysis, which perform real-time analysis based on the input sensor data (such as speed sensors and acceleration sensors) to achieve precise control and ensure that the motorcycle can obtain the best braking performance under various driving conditions;

[0058] The user feedback module aims to enhance the rider's sense of security and driving experience through human-machine interaction. This module is connected to a high-resolution networked data screen that can display the current state of the motorcycle, warning information, and driving data in real time. This data screen uses advanced liquid crystal display technology and has good visibility, being clearly visible under different lighting conditions. The user can view important information such as the current speed, fuel or power status, acceleration, tilt angle, and relative distance to the obstacle through an intuitive graphical interface. In addition, if the system issues a warning signal, the corresponding safety prompt, such as "Obstacle ahead, please slow down", will be immediately updated and displayed on the screen to quickly attract the rider's attention;

[0059] To further enhance the user experience, the user feedback module also has a voice prompt function. This function combines natural language processing (NLP) and artificial intelligence technologies and can automatically announce the current driving status and safety suggestions to the rider through the surround sound system during driving. For example, when the motorcycle is about to face an emergency (such as sudden braking, lane deviation, etc.), the system will voice a reminder like "There is an obstacle ahead, please slow down" or "Please maintain a stable posture to prevent tipping over", etc. Such general and timely reminders can ensure that the rider can also receive safety guidance when their attention is distracted or in a non-visible situation;

[0060] The implementation of the voice prompt relies on a high-sensitivity microphone and speaker system, which can clearly transmit information in a noisy environment. At the same time, this function supports customized settings. Users can choose the volume, tone, and prompt frequency of the voice prompt, so as to provide a personalized experience. Combining the visual information of the data screen and the voice prompt, users can obtain comprehensive and timely driving information. This efficient human-machine interaction method not only improves the safety of riding but also enables the driver to always have a clear understanding of the motorcycle's status during driving.

[0061] Through the collaborative work of the various modules of the device of the present invention, not only is the active safety protection level of the motorcycle improved, but it also helps to reduce the accident rate and creates a safer travel environment for the rider.

[0062] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent safety warning and emergency braking linkage device for an electric motorcycle, characterized in that: It includes a data acquisition module, a data processing module, a warning module, an emergency braking module, and a user feedback module; The data acquisition module obtains motorcycle impact data in real time, including motorcycle driving speed, motorcycle acceleration, motorcycle tilt angle, distance between the motorcycle and obstacles, motorcycle position information, and motorcycle surrounding environment information; The data processing module is used to analyze the motorcycle impact data, calculate the relative distance between the motorcycle and obstacles, the braking distance of the motorcycle, and the acceleration change rate of the motorcycle, and conduct real-time intelligent evaluation of the motorcycle driving road conditions. The data evaluation and analysis results are sent to the warning module; The warning module analyzes the received data evaluation and analysis results. When abnormal data is analyzed, a safety warning signal is sent to the emergency braking module; When receiving the safety warning signal, the emergency braking module is linked with the anti-lock braking system and automatically executes emergency braking; The user feedback module is connected to an Internet-connected data screen, which is used to display the current state of the motorcycle, warning information, and driving data to the user, and provide motorcycle driving safety suggestions.

2. The intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 1, characterized in that: The data acquisition module includes a vehicle speed sensor for measuring the motorcycle driving speed, an acceleration sensor for measuring the motorcycle acceleration, a tilt sensor for measuring the motorcycle tilt angle, and a laser distance sensor for measuring the distance between the motorcycle and obstacles.

3. The intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 2, characterized in that: The data acquisition module further includes an environment sensor for obtaining information on the motorcycle surrounding environment.

4. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 3, characterized in that: The data processing module further includes a fault detection sub-module for independently monitoring and diagnosing key system faults of the motorcycle and adjusting the data evaluation strategy according to the fault type.

5. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 4, characterized in that: The formula for calculating the relative distance between the motorcycle and obstacles is as follows: D relative = D obstacle - D motorcycle In the formula, D relative represents the relative distance between the motorcycle and the obstacle, D obstacle represents the distance between the actual position of the obstacle and the starting point of the road, D motorcycle represents the distance between the position of the motorcycle and the starting point of the road.

6. The intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 5, characterized in that: The formula for calculating the braking distance of the motorcycle is as follows: In the formula, d brake represents the braking distance of the motorcycle, V current represents the current driving speed of the motorcycle, a brake represents the braking acceleration of the motorcycle.

7. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 6, characterized in that: The formula for calculating the acceleration change rate of the motorcycle is as follows: In the formula, AR represents the motorcycle acceleration change rate, a current represents the current acceleration of the motorcycle, a previous represents the acceleration of the motorcycle at the previous moment, and Δt represents the time interval required for the acceleration change.

8. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 7, characterized in that: The algorithm for conducting real-time intelligent evaluation of the motorcycle driving road conditions is as follows: Safe Status=f(D relative ,V current ,a bike ,a brake ,road condition) In the formula, Safe Status represents the current safety status of the motorcycle, and the value range is [0, 1], where 0 indicates high danger and 1 indicates safety. D relative represents the relative distance between the motorcycle and the obstacle, and V current represents the current speed of the motorcycle, and a bike represents the current acceleration of the motorcycle, and a brake represents the braking acceleration, road condition represents the road condition parameter, and f(*) represents the evaluation function.

9. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 8, characterized in that: The emergency braking module has an intelligent adaptation function for dynamically adjusting the braking force according to the current speed and driving conditions of the motorcycle.

10. An intelligent safety warning and emergency braking linkage device for an electric motorcycle according to claim 9, characterized in that: The user feedback module has a voice prompt function for informing the user of the current driving state and safety suggestions by voice during driving.

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