Intelligent shared bicycle

Abstract

The utility model relates to an intelligent shared bicycle. Comprising an electric bicycle body, and an ECU and a damping system are arranged in the electric bicycle body; the ECU control unit is used for receiving and processing load data of the electric bicycle main body, and when overload is detected, voice alarm or power-off operation is triggered; the damping system comprises rear double dampers, a middle damper and a coil sensor; the rear double shock absorbers are not provided with damping; a magnet is arranged at the top of the middle shock absorber; the coil sensor is installed near the middle shock absorber and used for monitoring the displacement of the magnet so as to judge the stroke change of the shock absorber. The technical problems that in the prior art, for the shared electric vehicle used at high frequency, overload misjudgment causes increase of user complaints, a traditional sensor is prone to being interfered by the environment (such as a bumpy road surface) and poor in data stability, meanwhile, real-time linkage with a user terminal is lacked, and historical data of a user cannot be recorded to optimize overload judgment logic are solved.

Description

Technical Field

[0001] This utility model relates to the field of shared electric bicycles, and more particularly to an intelligent shared vehicle. Background Technology

[0002] In the shared electric vehicle sector, overload detection is a crucial function for ensuring driving safety. However, existing technologies have significant drawbacks: First, traditional overload detection relies heavily on a single weight sensor, which is prone to misjudgment due to uneven placement of people or items in the footrest area, making it difficult to accurately identify the actual load. Second, the shock absorption system design is simplistic, with the rear shock absorber lacking damping adjustment, making it difficult to differentiate load variations in different areas, leading to missed overload detections or false triggers. Third, the overload judgment rules are fixed and cannot be dynamically adjusted according to user habits or operational needs, resulting in insufficient flexibility. For example, some shared vehicles use rear shock absorber deformation detection for overload, but if a user stands in the footrest area, the shock absorber deformation may be insufficient, causing the system to fail to identify an overload, posing a safety hazard. Furthermore, existing technologies lack diverse handling of overload responses (such as simply cutting off power or issuing an alarm), resulting in a poor user experience and high maintenance costs.

[0003] For shared electric vehicles used frequently, the existing problems are even more prominent: overload misjudgments lead to increased user complaints; traditional sensors are susceptible to environmental interference (such as bumpy roads), resulting in poor data stability; and the lack of real-time linkage with user terminals makes it impossible to record historical user data to optimize the overload judgment logic. There is an urgent need for a shared vehicle solution that integrates accurate load detection, dynamic threshold adjustment, and intelligent response to overcome the technical bottlenecks of low safety, high misjudgment rate, and poor adaptability of existing technologies. Utility Model Content

[0004] This application provides an intelligent shared vehicle that solves the technical problems in existing technologies, such as increased user complaints due to overload misjudgment in high-frequency shared electric vehicles, the susceptibility of traditional sensors to environmental interference (such as bumpy roads) and poor data stability, and the lack of real-time linkage with user terminals, making it impossible to record user historical data to optimize the overload judgment logic.

[0005] The technical solution adopted in the embodiments of this application is as follows:

[0006] A smart shared vehicle includes an electric bicycle body, in which an ECU control unit and a shock absorption system are installed. The ECU control unit receives and processes load data of the electric bicycle body, and triggers a voice alarm or power-off operation when overload is detected. The shock absorption system includes dual rear shock absorbers, a central shock absorber, and a coil sensor. The dual rear shock absorbers are undamped. The central shock absorber is damped and has a magnet on its top. The coil sensor is installed near the central shock absorber and is used to monitor the displacement of the magnet to determine the change in shock absorber travel. The ECU control unit is communicatively connected to the coil sensor and performs dual overload determination based on the shock absorber travel change data and load data.

[0007] A further technical solution is as follows: the magnet on the top of the central shock absorber works in conjunction with the coil sensor to accurately identify the occupant status of the foot pedal area through changes in magnetic induction.

[0008] A further technical solution is as follows: the damping difference design between the rear dual shock absorbers and the central shock absorber, combined with the monitoring data of the coil sensor, collaboratively prevents overload misjudgment.

[0009] A further technical solution is that the ECU control unit dynamically adjusts the overload judgment rules and response methods according to the threshold remotely configured by the operating platform.

[0010] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0011] 1. By adopting the configuration of an electric bicycle body, ECU control unit, and shock absorption system, this shared vehicle uses a combination of a centrally mounted shock absorber and a coil sensor to accurately identify the passenger status in the pedal area, avoiding the missed detection problem caused by insufficient deformation of traditional rear shock absorbers. The dual overload judgment mechanism of the ECU control unit (combining shock absorber travel and load data) significantly reduces the false judgment rate, thus improving safety. The undamped design of the rear dual shock absorbers and the damping difference of the central shock absorber work together to optimize load sensing sensitivity and adapt to complex road conditions. The dynamic threshold adjustment function allows the operation platform to remotely configure overload rules, flexibly adapting to different user groups (such as weight differences). The intelligent linkage between the modular shock absorption system and the ECU reduces maintenance frequency, improving both user experience and operational efficiency. The overall design, through the integration of accurate detection and intelligent response, overcomes the technical challenges of overload management in shared vehicles, providing a highly safe solution for short-distance urban travel. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the overall structure of an intelligent shared vehicle according to an embodiment of the present utility model.

[0013] Figure 2This is a schematic diagram of the internal structure of an intelligent shared vehicle according to an embodiment of the present invention.

[0014] In the diagram: 1. Electric bicycle body; 2. ECU control unit; 3. Shock absorption system; 31. Rear dual shock absorbers; 32. Central shock absorber; 33. Coil sensor. Detailed Implementation

[0015] This application provides an intelligent shared vehicle that solves the technical problems in existing technologies, such as increased user complaints due to overload misjudgment in high-frequency shared electric vehicles, the susceptibility of traditional sensors to environmental interference (such as bumpy roads) and poor data stability, and the lack of real-time linkage with user terminals, making it impossible to record user historical data to optimize the overload judgment logic.

[0016] The technical solution in this application is to solve the above problems, and the overall approach is as follows:

[0017] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0018] A type of smart shared vehicle, such as Figure 1 and Figure 2 As shown, the device includes an electric bicycle body 1, within which an ECU control unit 2 and a shock absorption system 3 are installed. The ECU control unit 2 receives and processes the load data of the electric bicycle body 1, triggering a voice alarm or power-off operation when overload is detected. The shock absorption system 3 includes a rear dual shock absorber 31, a central shock absorber 32, and a coil sensor 33. The rear dual shock absorber 31 is undamped; the central shock absorber 32 is damped and has a magnet on its top. The coil sensor 33 is installed near the central shock absorber 32 to monitor the displacement of the magnet to determine changes in the shock absorber's travel. The ECU control unit 2 is communicatively connected to the coil sensor 33, performing dual overload determination based on shock absorber travel change data and load data.

[0019] The magnet on top of the central shock absorber 32 works in conjunction with the coil sensor 33 to accurately identify the occupant status of the foot pedal area through changes in magnetic induction.

[0020] The damping difference design between the rear dual shock absorbers 31 and the central shock absorber 32, combined with the monitoring data of the coil sensor 33, works together to prevent overload misjudgment.

[0021] The ECU control unit 2 dynamically adjusts the overload judgment rules and response methods based on the thresholds remotely configured by the operating platform.

[0022] The smart shared bicycle consists of an electric bicycle body 1, with an ECU control unit 2 and a shock absorption system 3 at its core. The shock absorption system 3 comprises rear dual shock absorbers 31 (undamped) and a central shock absorber 32 (damped). A magnet is mounted on the top of the central shock absorber 32, and a coil sensor 33 is installed nearby to monitor the magnet's displacement. Upon first use, the user registers and activates the NFC function by scanning a QR code with their mobile phone. The user places their phone in the holder, and the ECU control unit 2 verifies the user information, unlocks the vehicle, and initiates wireless charging. Before riding, the coil sensor 33 monitors the travel changes of the central shock absorber 32 in real time. Combined with the deformation data of the rear dual shock absorbers 31, the ECU control unit 2 performs a dual overload determination. If overload is detected (such as a person standing on the pedal causing the central shock absorber 32 to displace beyond its limit), the ECU issues a voice alarm or cuts off power. The user must then report this to customer service via the app to adjust the threshold. After the ride, removing the phone automatically locks the bicycle and deducts payment.

[0023] By adopting the configuration of an electric bicycle body 1, an ECU control unit 2, and a shock absorption system 3, this shared vehicle accurately identifies the passenger status in the pedal area through a combination of a centrally mounted shock absorber 32 and a coil sensor 33, avoiding the missed detection problem caused by insufficient deformation of traditional rear shock absorbers. The dual overload judgment mechanism of the ECU control unit 2 (combining shock absorber travel and load data) significantly reduces the false judgment rate, thereby improving safety. The undamped design of the rear dual shock absorbers 31 and the damping difference of the centrally mounted shock absorber 32 work together to optimize load sensing sensitivity and adapt to complex road conditions. The dynamic threshold adjustment function allows the operating platform to remotely configure overload rules, flexibly adapting to different user groups (such as weight differences). The intelligent linkage between the modular shock absorption system and the ECU reduces maintenance frequency, simultaneously improving user experience and operational efficiency. The overall design, through the integration of accurate detection and intelligent response, overcomes the technical challenges of overload management in shared vehicles, providing a highly safe solution for short-distance urban travel.

[0024] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0025] Obviously, those skilled in the art can make various modifications and variations to this utility model without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this utility model and their equivalents, this utility model also intends to include these modifications and variations.

Claims

1. A smart shared vehicle, comprising an electric bicycle body (1), characterized in that, The electric bicycle body (1) is equipped with an ECU control unit (2) and a shock absorption system (3); the ECU control unit (2) is used to receive and process the load data of the electric bicycle body (1), and trigger a voice alarm or power-off operation when overload is detected; the shock absorption system (3) includes a rear dual shock absorber (31), a central shock absorber (32) and a coil sensor (33); the rear dual shock absorber (31) is not damped; the central shock absorber (32) is damped and has a magnet on top; the coil sensor (33) is installed near the central shock absorber (32) to monitor the displacement of the magnet to determine the change in shock absorber stroke; the ECU control unit (2) is communicatively connected to the coil sensor (33) and performs dual overload determination based on the shock absorber stroke change data and load data.

2. The intelligent shared vehicle as described in claim 1, characterized in that, The magnet on top of the central shock absorber (32) works in conjunction with the coil sensor (33) to accurately identify the occupant status of the foot pedal area through changes in magnetic induction.

3. The intelligent shared vehicle as described in claim 1, characterized in that, The damping difference design between the rear dual shock absorbers (31) and the central shock absorber (32), combined with the monitoring data of the coil sensor (33), works together to prevent overload misjudgment.

4. The intelligent shared vehicle as described in claim 1, characterized in that, The ECU control unit (2) dynamically adjusts the overload judgment rules and response methods according to the threshold remotely configured by the operating platform.

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