WO2022071228A1 - Vehicle body state detection system, electric bicycle, vehicle body state detection method, and program - Google Patents

Abstract

This vehicle body state detection system comprises: a sensor that acquires vehicle body travel information which is information related to the travel of a vehicle body (10); and an analysis unit (41) that acquires the vehicle body travel information from the sensor and analyzes the acquired vehicle body travel information. The analysis unit (41) estimates, on the basis of the vehicle body travel information, the state of the vehicle body (10) which is indirectly associated with the vehicle body travel information. If the estimated state of the vehicle body (10) is a state in which there is an abnormality in the vehicle body (10), the analysis unit outputs abnormal state information which is information indicating that there is an abnormality in the vehicle body (10). If the estimated state of the vehicle body (10) is a state in which the vehicle body (10) is normal, the analysis unit outputs normal state information which is information indicating that the vehicle body (10) is normal.

Description

Body condition detection system, electric bicycle, body condition detection method and program

This disclosure relates to a vehicle body condition detection system, an electric bicycle, a vehicle body condition detection method and a program.

Conventionally, when a vehicle abnormality content is determined by a plurality of sensors having different performances for detecting the vehicle environment, an abnormality content determination means for determining the vehicle abnormality content by the output pattern of each of the plurality of sensors, and a vehicle abnormality content determination means by the abnormality content determination means, the vehicle abnormality is detected. A vehicle abnormality distribution device including a communication control means for transmitting information about the contents is disclosed (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2009-6226

The present disclosure includes a vehicle body condition detection system, an electric bicycle, and a vehicle body condition that allow a person to easily recognize whether the vehicle body is in an abnormal state or a normal state by estimating the vehicle body condition using an existing sensor. The purpose is to provide a detection method and a program.

In order to achieve the above object, the vehicle body state detection system according to one aspect of the present disclosure includes a sensor that acquires vehicle body travel information, which is information related to vehicle vehicle travel, and the vehicle body travel information acquired from the sensor. The analysis unit includes an analysis unit that analyzes vehicle body travel information, and the analysis unit estimates the state of the vehicle body indirectly related to the vehicle body travel information based on the vehicle body travel information, and the estimated state of the vehicle body. However, if the vehicle body is in an abnormal state, the abnormal state information that is information indicating that the vehicle body is abnormal is output, and if the estimated state of the vehicle body is the normal state of the vehicle body. , Outputs normal state information which is information indicating that the vehicle body is normal.

Further, the electric bicycle according to one aspect of the present disclosure includes a vehicle body state detection system and an electric motor that adds an auxiliary driving force for assisting the traveling of the vehicle body.

Further, the vehicle body state detection method according to one aspect of the present disclosure is to acquire vehicle body traveling information which is information about the vehicle body, analyze the acquired vehicle body traveling information, and based on the vehicle body traveling information. Estimating the state of the vehicle body, and if the estimated state of the vehicle body is in an abnormal state of the vehicle body, outputting abnormal state information which is information indicating that the vehicle body has an abnormality. If the estimated state of the vehicle body is a normal state, the normal state information which is information indicating that the vehicle body is normal is output.

Further, the program according to one aspect of the present disclosure is a program for causing a computer to execute a vehicle body state detection method.

According to the vehicle body condition detection system or the like according to the present disclosure, a person can easily recognize whether the vehicle body is in an abnormal state or a normal state by estimating the state of the vehicle body using an existing sensor.

FIG. 1 is a schematic diagram illustrating a vehicle sharing system according to an embodiment. FIG. 2 is a side view illustrating the electric bicycle according to the embodiment. FIG. 3 is a block diagram illustrating an electric bicycle according to an embodiment. FIG. 4 is a flowchart illustrating the processing of the vehicle sharing system according to the embodiment. FIG. 5 is a block diagram illustrating an electric bicycle according to another modification. FIG. 6 is a block diagram illustrating another electric bicycle according to another modification. FIG. 7 is a block diagram illustrating still another electric bicycle according to another modification.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. It should be noted that all of the embodiments described below show a specific example of the present disclosure. Therefore, the numerical values, shapes, materials, components, arrangement and connection forms of components, steps, order of steps, etc. shown in the following embodiments are examples, and are not intended to limit the present disclosure. Therefore, among the components in the following embodiments, the components not described in the independent claims are described as arbitrary components.

Also, each figure is a schematic diagram and is not necessarily exactly illustrated. Therefore, for example, the scales and the like do not always match in each figure. Further, in each figure, substantially the same configuration is designated by the same reference numeral, and duplicate description will be omitted or simplified.

Hereinafter, the vehicle body condition detection system, the electric bicycle, the vehicle body condition detection method, and the program according to the present embodiment will be described.

(Embodiment)
<Structure>
FIG. 1 is a schematic diagram illustrating the vehicle sharing system 1 according to the embodiment.

As shown in FIG. 1, in the vehicle sharing system 1, a servicer that rents out a vehicle rents out a vehicle to a user who wants to use the vehicle. The vehicle sharing system 1 manages the state of the vehicle, specifications, vehicle type, product number, and the like. Further, when the vehicle is rented to the user, the vehicle sharing system 1 manages the use start time, the use end time, the use start place, the user identification information, and the like.

The vehicle sharing system 1 includes an electric bicycle 2 and an external device 3.

[Electric bicycle 2]
FIG. 2 is a side view illustrating the electric bicycle 2 according to the embodiment. FIG. 3 is a block diagram illustrating the electric bicycle 2 according to the embodiment.

As shown in FIGS. 1 to 3, the electric bicycle 2 is a vehicle capable of traveling on a traveling surface by electric power. In the present embodiment, the electric bicycle 2 will be described as an example of the vehicle, but the vehicle is not limited to the electric bicycle 2. The vehicle is, for example, a moving body having a vehicle body 10 capable of traveling on a traveling surface by rotation of wheels, such as an automobile, a motorcycle, a human-powered vehicle, and a bicycle.

The electric bicycle 2 of the present embodiment is an electrically assisted bicycle that assists the pedaling force of the user by the auxiliary driving force of the electric motor 43. Further, the electric bicycle 2 may have an independent human-powered driving force that gives power to the wheels by pedaling force and an auxiliary driving force that gives power to the wheels by the electric motor 43, and can run only by the electric motor 43 (self-propelled). It may be a possible) bicycle.

For example, the electric bicycle 2 has an assist mode, a push-walking mode, and a self-propelled mode. The assist mode is a mode for assisting the advancement of the electric bicycle 2 based on the pedaling force of the user to the pedal 16. The push-walking mode is a mode for assisting the forward movement of the electric bicycle 2 based on the force of the user pushing the vehicle body 10 forward when the user pushes the electric bicycle 2 to walk. The self-propelled mode is a mode for assisting the forward movement of the electric bicycle 2 when the user walks while supporting the electric bicycle 2.

The electric bicycle 2 is composed of a vehicle body 10 equipped with a vehicle body condition detection system.

The vehicle body 10 controls the frame 11, the front wheels 12, the rear wheels 13, the saddle 14, the handle 15, the pedal 16, the crank 17, the chain 19, the transmission, the sensor, the motor unit 42, and the control. It has a device 40, a notification unit 50, an operation unit 61, a manual switch 62, and a battery 63. In the present embodiment, the vehicle body condition detection system includes at least a sensor and an analysis unit 41 of the control device 40.

The frame 11 is the framework of the electric bicycle 2. The frame 11 is made of, for example, a metal such as an aluminum alloy, iron, chrome molybdenum steel, steel, or titanium. The frame 11 may be made of carbon, synthetic resin, or the like.

The frame 11 has a front frame 11a and a rear frame 11b.

The front frame 11a constitutes a front side portion of the frame 11. The front frame 11a has a head tube 11a1, a down tube 11a2, and a seat tube 11a3. The frame 11 may have a suspension.

The head tube 11a1 is connected to the front end of the front frame 11a. A front fork 11a4 and a handle 15 are attached to the head tube 11a1 so as to be rotatable around an axis along the longitudinal direction of the head tube 11a1. A front wheel 12 is rotatably attached to the front fork 11a4. By turning the handle 15 left and right, the direction of the front wheel 12 supported by the front fork 11a4 can be turned left and right. Further, a headlight is attached to the front fork 11a4. The front fork 11a4 may have a suspension.

The down tube 11a2 connects the head tube 11a1 and the seat tube 11a3. The down tube 11a2 is provided with a battery 63, a motor unit 42, and a control device 40.

The seat tube 11a3 holds the saddle 14. A saddle 14 is attached to the seat tube 11a3 so as to be movable along the longitudinal direction of the seat tube 11a3. The lower end of the seat tube 11a3 is connected to the rear end of the down tube 11a2. The seat tube 11a3 is located between the front wheels 12 and the rear wheels 13 in the front-rear direction. A battery 63 is detachably attached to the seat tube 11a3.

The rear frame 11b is arranged on the rear side of the front frame 11a and constitutes the rear side portion of the frame 11. A rear wheel 13, a rear sprocket 71 interlocked with the axle of the rear wheel 13, and a rear seat 80 are attached to the rear frame 11b. A chain 19 is bridged between the rear sprocket 71 and the front sprocket 72. As a result, the rotational force of the front sprocket 72 rotated by the pedal 16 being depressed is transmitted to the rear wheel 13 via the chain 19 and the rear sprocket 71. In the present embodiment, the pedal 16, the front sprocket 72, the rear sprocket 71, and the chain 19 form a rear wheel drive mechanism that relies on human power.

The front wheel 12 has a tire 12a for the vehicle body 10 to travel. The front wheel 12 is the front wheel of the two wheels arranged in the front-rear direction. The front wheel 12 is supported by the front fork 11a4 so as to be able to rotate about an axis along the left-right direction. The front wheels 12 may receive power transmission from the motor unit 42, and may be provided with, for example, a motor that applies a driving force for rotating the front wheels 12.

The rear wheel 13 has a tire 13a for the vehicle body 10 to travel. The rear wheel 13 is the rear wheel of the two wheels arranged in the front-rear direction. The rear wheel 13 is supported by the rear fork so that it can rotate about an axis along the left-right direction. The rear wheel 13 may receive power transmission from the motor unit 42, and may be provided with, for example, a motor that applies a driving force for rotating the rear wheel 13. The rear wheel 13 has a rear sprocket 71. The rear sprocket 71 is connected to the front sprocket 72 via a chain 19. In the present embodiment, the power output from the motor unit 42 is transmitted to the rear wheels 13.

The saddle 14 is the part where the user sits. The saddle 14 is movably attached to the seat tube 11a3.

The handle 15 changes the steering angle of the electric bicycle 2, for example, when the user operates the electric bicycle 2. A pair of grips and a pair of brake levers 81 are provided at both ends of the handle 15. The pair of grips are the parts that are gripped by the user's hands when riding in an appropriate posture. Further, the pair of grips are gripped by hand when pushing or supporting the electric bicycle 2 and receiving a pushing force forward. One brake lever 81 applies a mechanical braking force to the front wheels 12 by driving a front brake device (not shown). The other brake lever 81 applies a mechanical braking force to the rear wheels 13 by driving a rear brake device (not shown).

Note that at least one of the pair of grips may be provided with a grip sensor that detects a gripping force or a pushing force. The rotation shaft provided at the center of the steering wheel 15 may be provided with a steering angle sensor for measuring the steering angle of the steering wheel 15, and the steering angle sensor may detect the steering angle of the steering wheel 15. .. The brake lever 81 may be provided with a brake sensor, and the brake sensor may detect an operation on the brake lever 81.

The pedal 16 is given the pedaling force of the user, for example, when the user gets on the electric bicycle 2. The pedal 16 is attached to an end portion of each crank arm 17a in the longitudinal direction, which is opposite to the crank shaft 17b side. The pedal 16 is rotatably attached to the crank arm 17a. The rotation axis of the pedal 16 is substantially parallel to the rotation axis of the crank shaft 17b of the crank 17.

The crank 17 has a crank shaft 17b, a pair of crank arms 17a, and a front sprocket 72. One crank arm 17a is provided on each side of the front frame 11a, and the crank arm 17a is fixed to both ends of the crank shaft 17b extending in the left-right direction. One end of the crank arm 17a is rotatably fixed to the crank shaft 17b, and the pedal 16 is rotatably fixed to the other end of the crank arm 17a. When a pedaling force is applied to the pedal 16, the crank arm 17a rotates about the crank shaft 17b, and the human-powered driving force due to the rotation is transmitted to the rear wheels 13 via the front sprocket 72 and the chain 19. When operating in the assist mode, the human-powered driving force based on the pedaling force and the auxiliary driving force by the electric motor 43 added to the human-powered driving force are transmitted to the rear wheels 13. The front sprocket 72 is attached to the crank shaft 17b of the crank arm 17a. When the pedal 16 is depressed by the user, the front sprocket 72 rotates via the crank arm 17a and the crank shaft 17b. Due to the rotation of the front sprocket 72, the rear sprocket 71 rotates via the chain 19, and the rear wheels 13 rotate.

The chain 19 transmits the rotational force of the front sprocket 72 rotated by depressing the pedal 16 and the auxiliary driving force output from the motor unit 42 to the rear sprocket 71. The chain 19 is a power transmission body such as a belt, a shaft, a wire, or a gear.

The transmission is composed of well-known transmission mechanisms such as planetary gears and multi-stage gears having a plurality of driving force transmission paths having different gear ratios. By switching the driving force transmission path, the transmission can shift to, for example, a low speed stage (Low gear), a medium speed stage (Middle gear), a high speed stage (Top gear), or the like.

The sensor acquires vehicle body travel information, which is information regarding the travel of the vehicle body 10. In this embodiment, a plurality of sensors are mounted on the electric bicycle 2. As a plurality of sensors, a crank rotation sensor 31, a speed sensor 32, a torque sensor 33, a gyro sensor 34, an inclination sensor 35, a battery state detection sensor 36, and the like are mounted on the electric bicycle 2.

The crank rotation sensor 31 detects the number of rotations of the crank 17 per unit time when the assist mode and the push-walking mode or the self-propelled mode are executed. For example, the crank rotation sensor 31 is realized by having a gear-shaped rotating body and a photodetector having a light emitting portion and a light receiving portion arranged so as to sandwich the teeth of the rotating body. The crank rotation sensor 31 outputs information indicating the detected rotation speed of the crank 17 (an example of vehicle body running information) to the control device 40. The crank rotation sensor 31 may have any configuration as long as it can detect the rotation speed of the crank 17. Further, the crank rotation sensor 31 is arranged in the vicinity of the crank shaft 17b. Instead of the crank rotation sensor 31, a crank angle sensor that detects the rotation angle of the crank 17 may be used. Further, in the present embodiment, a plurality of crank rotation sensors 31 may be provided, and a phase difference may be provided in the detection signal of each crank rotation sensor 31. In this case, since the detection signals of the respective crank rotation sensors 31 have a phase difference, the rotation direction of the crank 17 can also be detected.

The speed sensor 32 detects the speed at which the electric bicycle 2 travels (the speed of the electric bicycle 2) when the assist mode, the push-walking mode, or the self-propelled mode is executed. The speed sensor 32 detects the speed of the electric bicycle 2 from the rotation of the front wheels 12 or the rear wheels 13, and outputs information indicating the detected speed of the electric bicycle 2 (an example of vehicle body running information) to the control device 40. The speed sensor 32 is a wheel sensor, a magnet sensor, or the like, but may be a cycle computer calculated based on the ground speed, and may have any configuration as long as it can detect the speed of the electric bicycle 2. As another configuration, for example, there is a speed sensor using GPS (Global Positioning System). In this case, the speed sensor 32 is provided at the lower end of the front fork 11a4, for example, and is arranged at a position where the speed can be easily measured. When provided on the front fork 11a4, the rotation speed of the front wheel 12 can be suitably detected. Further, when the speed sensor 32 is attached to the rear portion of the frame 11, the rotational speed of the rear wheel 13 can be suitably detected. The detection target of the speed sensor 32 can be at least one of the front wheel 12 and the rear wheel 13.

The torque sensor 33 detects a human-powered driving force based on the pedaling force on the pedal 16. That is, the torque sensor 33 detects the human-powered driving force generated by the rotation of the crank shaft 17b based on the pedaling force on the pedal 16. The torque sensor 33 is a magnetostrictive type sensor having a coil and a magnetostrictive generating portion. For example, when a pedaling force is applied to the pedal 16 to generate a human-powered driving force, the magnetostrictive generating portion is distorted. In the magnetostrictive generation portion, a portion where the magnetic permeability increases and a portion where the magnetic permeability decreases occur. The torque sensor 33 detects the human-powered driving force by detecting the inductance difference of the coil. The torque sensor 33 outputs information indicating the detected human-powered driving force (an example of vehicle body running information) to the control device 40. The configuration of the torque sensor 33 is not particularly limited, and any configuration may be used as long as the human-powered driving force to the pedal 16 can be detected. The torque sensor 33 is arranged, for example, in the vicinity of the crank shaft 17b.

The gyro sensor 34 is a 6-axis sensor that detects the tilting speed (angular velocity) of the vehicle body 10 of the electric bicycle 2. The gyro sensor 34 detects the acceleration in each of the three axes orthogonal to the center of the electric bicycle 2 and the angular velocity around the three axes. The gyro sensor 34 detects the acceleration in each of the three axes, and detects the angular velocity (roll, yaw, pitch) around the three axes. The gyro sensor 34 outputs information indicating the detected angular velocity (an example of vehicle body traveling information) and information indicating acceleration (an example of vehicle body traveling information) to the control device 40. The gyro sensor 34 is attached to, for example, a down tube 11a2 or the like. The axial directions of the three orthogonal axes are represented by, for example, the X-axis direction, the Y-axis direction, and the Z-axis direction. May be specified.

The tilt sensor 35 measures the tilt of the electric bicycle 2 with respect to the horizontal plane, that is, the tilt of the vehicle body 10 with respect to the horizontal plane. Specifically, the tilt sensor 35 measures the tilt angles of the vehicle body 10 in the front-rear direction and the left-right direction with respect to the horizontal plane, respectively. The tilt sensor 35 outputs information indicating the detected tilt angle (an example of vehicle body traveling information) to the control device 40. The tilt sensor 35 is attached to, for example, the down tube 11a2 or the like.

The battery state detection sensor 36 detects the state of the battery 63 such as the charge rate, the discharge performance, the remaining capacity, etc. of the battery 63 by detecting the current output from the battery 63 and the output voltage of the battery 63. For example, the battery state detection sensor 36 detects the state of the battery 63 based on the restart performance from the time of stop, the discharge capacity when the auxiliary driving force is applied, and the like. The battery state detection sensor 36 outputs information indicating the detected state of the battery 63 (an example of vehicle body running information) to the control device 40. The battery state detection sensor 36 is attached to, for example, the battery 63, the motor unit 42, and the like.

In the present embodiment, as an example of the sensors included in the electric bicycle 2, the crank rotation sensor 31, the speed sensor 32, the torque sensor 33, the gyro sensor 34, the tilt sensor 35, and the battery state detection sensor 36 are exemplified. , Not limited to this.

For example, the electric bicycle 2 may have a vibration sensor that detects the vibration of the vehicle body 10. The vibration sensor may output information indicating the magnitude (frequency) of vibration (an example of vehicle body running information) to the control device 40.

Further, the electric bicycle 2 may have an acceleration sensor that detects the acceleration of the traveling vehicle body 10. The acceleration sensor may output information indicating the acceleration of the vehicle body 10 (an example of vehicle body traveling information) to the control device 40.

Further, the electric bicycle 2 may have a sound sensor that detects sounds generated from the vehicle body 10, the motor unit 42, and the like. The sound is, for example, a sound emitted from the front sprocket 72, the rear sprocket 71, the chain 19, the brake device, and the like. If an abnormality occurs in the front sprocket 72, the rear sprocket 71, the chain 19, the brake device, the tires 12a, 13a, the transmission, or the like, an abnormal noise different from the normal state is generated. The sound sensor may output information indicating sound such as sound quality and volume (an example of vehicle body traveling information) to the control device 40.

Further, the electric bicycle 2 may have a motor rotation sensor that detects the number of rotations of the electric motor 43 per unit time. The motor rotation sensor is a Hall IC sensor or the like, and information indicating the rotation speed of the electric motor 43 per unit time (an example of vehicle body running information) may be output to the control device 40. The speed of the electric bicycle 2, the driving force of the electric motor 43, and the like may be calculated based on the information indicating the rotation speed of the electric motor 43 per unit time.

In the present embodiment, as examples of the sensors included in the electric bicycle 2, the crank rotation sensor 31, the speed sensor 32, the torque sensor 33, the gyro sensor 34, the tilt sensor 35, the battery state detection sensor 36, the vibration sensor, and the acceleration sensor , A sound sensor, a motor rotation sensor, and the like are exemplified, but the electric bicycle 2 may be provided with at least one of these sensors. Therefore, the electric bicycle 2 is not limited to the case where all of these sensors are provided.

By outputting the auxiliary driving force, the motor unit 42 adds the auxiliary drive to the pedaling force, which is the human-powered driving force, and transmits the auxiliary drive to the rear wheels 13 via the chain 19.

The motor unit 42 has an electric motor 43. The motor unit 42 is unitized by housing the electric motor 43 and the control device 40 in a resin or metal housing. A crank rotation sensor 31, a torque sensor 33, and the like are provided inside the housing. The motor unit 42 is attached to the vehicle body 10.

The electric motor 43 adds an auxiliary driving force for assisting the traveling of the vehicle body 10. The electric motor 43 receives electric power from the battery 63 and drives it based on the control by the control device 40. The electric motor 43 rotates the rear wheels 13 by transmitting the rotational torque as an auxiliary driving force to the rear sprocket 71 via the chain 19. The rotational torque is an auxiliary driving force that is a driving force of the electric motor 43 to be added to the human-powered driving force, and an auxiliary driving force that is an auxiliary force applied to the pushing or supporting walking force of the electric bicycle 2. The electric motor 43 adds an auxiliary driving force to the human-powered driving force based on the pedaling force on the pedal 16 while the assist mode is being executed. Further, the electric motor 43 adds an auxiliary driving force to the pushing-walking force with respect to the electric bicycle 2 while the push-walking mode is being executed. Further, the electric motor 43 adds an auxiliary driving force for the electric bicycle 2 to self-propell while being supported by the user while the self-propelled mode is being executed.

The control device 40 includes an electric motor 43, a crank rotation sensor 31, a speed sensor 32, a torque sensor 33, a gyro sensor 34, an inclination sensor 35, a battery status detection sensor 36, a manual switch 62, an operation unit 61, a battery 63, and a headlight. The lights are electrically connected. Each operation signal by the operation unit 61 and the manual switch 62, and each vehicle body running information which is a detection result by each sensor are input to the control device 40. The vehicle body running information includes information indicating the rotation speed of the crank 17, information indicating speed, information indicating human-powered driving force, information indicating angular velocity, information indicating acceleration, information indicating tilt angle, information indicating the state of the battery 63, and the like. It is a general term including.

Further, the control device 40 drives the electric motor 43 according to the operation mode of the electric bicycle 2. Specifically, the control device 40 switches between the assist mode and the push-walking mode or the self-propelled mode to execute each mode. The assist mode is executed when the user is riding on the electric bicycle 2 after the manual switch 62 is pressed and the power is turned on. When the assist mode is executed, the control device 40 determines the magnitude of the auxiliary driving force generated by the electric motor 43 based on the pedaling force on the pedal 16 and the speed of the electric bicycle 2. The push-walking mode is executed when the user is not on the electric bicycle 2, the manual switch 62 is pressed, the power is on, and the user pushes the vehicle body 10 of the electric bicycle 2. Similar to the push-walking mode, the self-propelled mode is executed when the user is not riding on the electric bicycle 2 and walks while supporting the vehicle body 10 of the electric bicycle 2. In the self-propelled mode, the user does not apply a force to push the vehicle body 10 forward. Further, when the push-walking mode is executed, the control device 40 determines the magnitude of the auxiliary driving force generated by the electric motor 43 based on the push-walking force with respect to the electric bicycle 2, the speed of the electric bicycle 2, and the like. Further, the control device 40 determines the magnitude of a predetermined auxiliary driving force generated by the electric motor 43 when the self-propelled mode is executed.

Further, the control device 40 has an analysis unit 41 that acquires vehicle body travel information from the sensor and analyzes the acquired vehicle body travel information. That is, the analysis unit 41 acquires each vehicle body running information from the crank rotation sensor 31, the speed sensor 32, the torque sensor 33, the gyro sensor 34, the tilt sensor 35, the battery state detection sensor 36, and the like. Analyze vehicle body driving information.

The analysis unit 41 estimates the state of the vehicle body 10 indirectly related to the vehicle body travel information based on the vehicle body travel information. That is, the analysis unit 41 estimates the state of the vehicle body 10 indirectly related to the vehicle body travel information from the vehicle body travel information acquired while the electric bicycle 2 is traveling. The analysis unit 41 estimates whether the vehicle body 10 is in an abnormal state or the vehicle body 10 is in a normal state based on the respective vehicle body running information. Specifically, the analysis unit 41 estimates the state of the vehicle body 10 indirectly related to the vehicle body travel information by analyzing the vehicle body travel information based on at least one of rule-based and machine learning. ..

For example, when the speed sensor 32 using GPS and the speed sensor 32 using the wheel sensor both detect the speed of the electric bicycle 2, the analysis unit 41 determines the detection result of the speed sensor 32 using GPS and the detection result. It is possible to compare with the detection result of the speed sensor 32 using the wheel sensor and estimate the presence or absence of an abnormality according to the comparison result. For example, if there is a difference in the detected values by comparing the two, there is a possibility that the tires 12a and 13a have an abnormality such as an air leak or a flat tire. As an example of a state in which the vehicle body 10 has an abnormality, the analysis unit 41 can presume that the tires 12a and 13a have an abnormality in the air pressure of the tires 12a and 13a such as an air leak and a flat tire.

Further, for example, the analysis unit 41 can compare the detection result of the crank rotation sensor 31 with the detection result of the torque sensor 33 and estimate the abnormality of the chain 19. If the torque sensor 33 does not detect the human-powered driving force even though the crank rotation sensor 31 detects the forward rotation of the crank 17, there is a possibility that an abnormality such as the chain 19 falling off has occurred. Further, even though the crank rotation sensor 31 detects the forward rotation of the crank 17, if the detection of the human-powered driving force by the torque sensor 33 is delayed for a predetermined time or more, an abnormality such as wear of the chain 19 has occurred. there is a possibility. The analysis unit 41 can presume that an abnormality has occurred in the chain 19, such as wear of the chain 19, as an example of a state in which the vehicle body 10 has an abnormality.

If the estimated state of the vehicle body 10 is an abnormality in the vehicle body 10, the analysis unit 41 outputs abnormal state information which is information indicating that the vehicle body 10 has an abnormality. The abnormal state of the vehicle body 10 is a state in which a defect of the vehicle body 10 that hinders the running of the vehicle body 10 exists. The abnormal state of the vehicle body 10 is not only the abnormality of the chain 19 such as the above-mentioned air pressure of the tires 12a and 13a being equal to or less than the specified value (abnormality of the air pressure of the tires 12a and 13a) and the wear of the chain 19, but also the tire 12a, for example. , Abnormality of tires 12a and 13a such as wear of 13a, generation of abnormal noise in vehicle body 10, low remaining amount of battery 63, abnormality of battery 63, abnormality of electric motor 43, failure of brake device, abnormality of headlight, It is a state of the vehicle body 10 such as an abnormality of the gear, an abnormality of the transmission, an abnormality of the sensor, an abnormality of the notification unit 50, an abnormality of the notification unit 61a, an abnormality of the frame 11, and an abnormality of the suspension. The analysis unit 41 outputs the abnormal state information, which is the estimated result, to the external device 3 via the notification unit 50, or outputs the abnormal state information to the operation unit 61 in order to notify the surroundings of the vehicle body 10.

If the estimated state of the vehicle body 10 is a normal state, the analysis unit 41 outputs normal state information which is information indicating that the vehicle body 10 is normal. The normal state of the vehicle body 10 is a state in which there is no defect of the vehicle body 10 that hinders the running of the vehicle body 10. The normal state of the vehicle body 10 is, for example, the state of the vehicle body 10 such that the air pressure of the tires 12a and 13a is within a predetermined range, there is no abnormality in the chain 19, there is no abnormality in the tires 12a and 13a, and there is no abnormal noise generated in the vehicle body 10. be. The analysis unit 41 outputs the estimated normal state information to the external device 3 via the notification unit 50, or outputs it to the operation unit 61 to notify the surroundings of the vehicle body 10.

Further, the control device 40 supplies the electric power supplied from the battery 63 to the electric motor 43, the headlights, and the like.

Further, the control device 40 is realized by, for example, a microcomputer (microcontroller) or the like, and has a non-volatile memory in which the program is stored, a volatile memory (storage unit) which is a temporary storage area for executing the program, and an input. It consists of an output port, a processor that executes a program, and so on. The control device 40 may be realized by a dedicated electronic circuit.

In the present embodiment, the control device 40 is housed inside the housing of the motor unit 42, but the present invention is not limited to this. The control device 40 may be provided separately from the motor unit 42.

The notification unit 50 is a communication module capable of wireless communication or wired communication with the external device 3. The notification unit 50 notifies the external device 3 of the abnormal state information and the normal state information output by the analysis unit 41. Further, the notification unit 50 may notify the external device 3 of the vehicle body traveling information detected by each sensor. The notification unit 50 may be able to directly communicate with the terminal device owned by the user riding the electric bicycle 2. The terminal device is, for example, a smartphone, a tablet terminal, a personal computer, or the like.

The operation unit 61 is provided, for example, in the vicinity of one of the pair of brake levers 81. The operation unit 61 is a terminal device such as a cycle computer provided with a light switch (not shown) for turning on the headlights. The operation unit 61 has a button or the like for receiving an operation by the user. The buttons are a touch panel display, a mechanical button, and the like.

The operation unit 61 has a notification unit 61a that notifies the abnormal state information and the normal state information output by the analysis unit 41 to the surroundings of the vehicle body 10. For example, the notification unit 61a is a display unit that displays abnormal state information. The display unit is, for example, a liquid crystal display, an organic EL display, or the like. Further, the notification unit 61a may be an acoustic unit for notifying the periphery of the vehicle body 10 by sound of abnormal state information. The acoustic unit may be a speaker or the like that outputs sound. Further, the notification unit 61a may be a vibration unit for notifying the user of abnormal state information by vibration. The vibrating unit may be a vibration generating device having a vibration generating function (vibration function) for transmitting the vibration to the user by vibrating the operating unit 61. The vibration generator may be a vibration motor or the like that generates vibration. Further, the notification unit 61a may be a light source unit for notifying the user of abnormal state information by light. The light source unit may be an LED module or the like that emits light of a single color or a plurality of colors. As described above, the display unit, the acoustic unit, the vibration unit, and the light source unit are examples of the notification unit 61a. The operation unit 61 has at least one of a display unit, an acoustic unit, a vibration unit, and a light source unit as the notification unit 61a.

The manual switch 62 is a mechanical switch that accepts a push-walking operation or a self-propelled operation for executing a push-walking mode or a self-propelled mode. While the manual switch 62 is pressed by the user, the operation unit 61 continues to output a mode-on signal for executing the push-walking mode or the self-propelled mode to the control device 40. On the other hand, during the period when the manual switch 62 is not pressed, the operation unit 61 does not output the mode-on signal to the control device 40.

When the manual switch 62 is pressed once, the push-walking mode or the self-propelled mode may be executed without continuously pressing the manual switch 62. When the manual switch 62 is pressed again during the execution of the push-walking mode or the self-propelled mode, the push-walking mode or the self-propelled mode may be stopped.

The battery 63 is a storage battery that stores electric power for driving the electric motor 43. The battery 63 is, for example, a secondary battery, but may be a capacitor or the like. The battery 63 is electrically connected to the electric motor 43. Specifically, the battery 63 supplies electric power to the electric motor 43.

[External device 3]
The external device 3 is a server managed by a servicer who owns a plurality of electric bicycles 2, and is a device existing outside the vehicle body condition detection system. The external device 3 manages the state of the vehicle body 10 for each electric bicycle 2 by collecting the vehicle body running information, the abnormal state information, and the normal state information detected by each sensor. The external device 3 outputs the state of the vehicle body 10 to the servicer for each electric bicycle 2 to a notification device such as a monitor. As a result, the servicer grasps the timing of performing maintenance such as repair and adjustment of the electric bicycle 2 according to the state of the vehicle body 10 of the electric bicycle 2.

<Operation>
Here, the control process of the electric bicycle 2 will be described.

FIG. 4 is a flowchart illustrating the processing of the vehicle sharing system 1 according to the embodiment.

First, as shown in FIG. 4, when the electric bicycle 2 travels on the traveling surface, the plurality of sensors acquire the vehicle body traveling information of the electric bicycle 2 (S1). In the present embodiment, the electric bicycle 2 is equipped with a crank rotation sensor 31, a speed sensor 32, a torque sensor 33, a gyro sensor 34, an inclination sensor 35, a battery state detection sensor 36, and the like as a plurality of sensors. There is.

Each of the plurality of sensors outputs vehicle body running information to the control device 40 as a result of detection. Specifically, the crank rotation sensor 31 outputs information indicating the detected rotation speed of the crank 17 to the control device 40. The speed sensor 32 outputs information indicating the speed of the electric bicycle 2 to the control device 40. The torque sensor 33 outputs information indicating a human-powered driving force to the control device 40. The gyro sensor 34 outputs information indicating an angular velocity and information indicating acceleration to the control device 40. The tilt sensor 35 outputs information indicating the tilt angle to the control device 40. The battery state detection sensor 36 outputs information indicating the state of the battery 63 to the control device 40.

The analysis unit 41 of the control device 40 acquires each vehicle body traveling information which is a detection result by each sensor, and analyzes the acquired vehicle body traveling information (S12).

The analysis unit 41 estimates the state of the vehicle body 10 indirectly related to the vehicle body travel information based on the vehicle body travel information (S13).

The analysis unit 41, for example, based on information indicating speed, information indicating human-powered driving force, information indicating the number of revolutions per unit time of the electric motor 43, and the like, the tires 12a and 13a of the front wheels 12 and the rear wheels 13 respectively. Estimate the air pressure of. Specifically, the analysis unit 41 determines the front wheels 12 and the rear wheels when the traveling speed of the electric bicycle 2 with respect to the human-powered driving force is equal to or less than a predetermined first threshold value based on the information indicating the speed and the information indicating the human-powered driving force. It can be estimated that the air pressure of at least one of the tires 12a and 13a of 13 is reduced. In this case, the analysis unit 41 further bases the information indicating the number of revolutions of the electric motor 43 per unit time, the information indicating the diameters of the tires 12a and 13a (an example of vehicle body running information), and the like, and the driving force of the electric motor 43. Is calculated. When the calculated driving force of the electric motor 43 is equal to or more than a predetermined second threshold value, the analysis unit 41 finds that the air pressure of at least one of the tires 12a and 13a of the front wheels 12 and the rear wheels 13 is equal to or less than the specified value. Presumed to be. In this way, for example, when estimating the air pressure of the tires 12a and 13a, the analysis unit 41 does not need to mount the sensor for measuring the air pressure of the tires 12a and 13a on the electric bicycle 2, but the analysis unit 41 has information indicating the speed and a human-powered driving force. By analyzing vehicle body running information such as information indicating , 13a can be estimated.

Further, the analysis unit 41 can estimate the state of the vehicle body 10 indirectly related to the vehicle body travel information by analyzing the vehicle body travel information based on at least one of rule-based and machine learning. .. For example, using a pre-constructed rule base, the analysis unit 41 analyzes each vehicle body running information based on a preset condition (threshold value determination), and estimates the state of the vehicle body 10 related to the vehicle body 10. That is, by constructing in advance a rule base that can estimate the abnormal state of the vehicle body and a rule base that can estimate the normal state of the vehicle body, the analysis unit 41 estimates whether the state of the vehicle body 10 is abnormal or normal. For example, this rule base is used for vehicle body running information such as speed information, human-powered driving force information, rotation speed of the electric motor 43 per unit time, and tire 12a and 13a diameter information. Based on this, the air pressures of the tires 12a and 13a are estimated by determining the threshold value.

Further, for example, in pre-constructed machine learning and deep learning included in machine learning, the analysis unit 41 analyzes vehicle body running information using a learning model constructed by pre-learning using teacher data. , The state of the vehicle body 10 related to the vehicle body 10 is estimated. That is, by constructing in advance a learning model in which the vehicle body has an abnormal state and the vehicle body has learned the normal state, the analysis unit 41 estimates whether the vehicle body 10 is abnormal or normal. For example, this learning model uses vehicle body running information such as speed information, human-powered driving force information, rotation speed of the electric motor 43 per unit time, and tire 12a and 13a diameters as inputs. , Outputs information indicating the air pressure of the tires 12a and 13a.

As described above, when the air pressure of the tires 12a and 13a is estimated by the rule-based and machine learning learning model, for example, the electric bicycle 2 does not need to be equipped with a sensor for measuring the air pressure of the tires 12a and 13a. The analysis unit 41 includes information indicating the rotation speed of the crank 17, information indicating the speed, information indicating the human-powered driving force, information indicating the angular speed, information indicating the acceleration, information indicating the inclination angle, information indicating the state of the battery 63, and the like. By analyzing at least one vehicle body driving information using at least one of a rule-based learning model and a learning model constructed by machine learning, the air pressures of the tires 12a and 13a indirectly related to the vehicle body driving information. To estimate. The rule-based learning model and the learning model constructed by machine learning are stored in a storage unit or the like mounted on the control device 40.

Note that the external device 3 may acquire and learn each vehicle body running information from the electric bicycle 2, so that the rule base and the learning model constructed by machine learning may be modified and updated respectively.

The control device 40 determines whether or not the estimated state of the vehicle body 10 is estimated to be a state in which the vehicle body 10 is abnormal (S14). This determination may be performed by the analysis unit 41, or may be performed by another processing unit different from the analysis unit 41 in the control device 40.

When the estimated state of the vehicle body 10 is estimated to be an abnormal state in the vehicle body 10 (YES in S14), the analysis unit 41 outputs abnormal state information which is information indicating that the vehicle body 10 has an abnormality (S15). ).

The analysis unit 41 outputs the abnormal state information, which is the estimated result, to the external device 3 via the notification unit 50, or outputs the abnormal state information to the notification unit 61a in order to notify the surroundings of the vehicle body 10. As a result, the external device 3 can grasp what kind of abnormality has occurred in the electric bicycle 2 by collecting the abnormality state information. Therefore, the servicer can optimize the state of the electric bicycle 2 (return to the normal state) by repairing or adjusting the electric bicycle 2. Thereby, the servicer can provide the user with the optimum electric bicycle 2. Further, since the operation unit 61 notifies the surroundings of the vehicle body 10 that the electric bicycle 2 is in an abnormal state, the user who uses the electric bicycle 2 recognizes that the electric bicycle 2 is in an abnormal state. can do. Therefore, the user may stop using the electric bicycle 2 to recover an abnormal state such as injecting air into the tires 12a and 13a, or request the servicer to replace the electric bicycle 2. can do.

When the estimated state of the vehicle body 10 is estimated to be a normal state of the vehicle body 10 (NO in S14), the analysis unit 41 outputs normal state information which is information indicating that the vehicle body 10 is normal (S16). ..

The analysis unit 41 outputs the estimated normal state information to the external device 3 via the notification unit 50, or outputs it to the operation unit 61 to notify the surroundings of the vehicle body 10. As a result, the external device 3 can grasp that the electric bicycle 2 is in a normal state by collecting the normal state information. Further, since the operation unit 61 notifies the surroundings of the vehicle body 10 that the electric bicycle 2 is in a normal state, the user can recognize that the electric bicycle 2 is in a normal state. Therefore, the user can use the electric bicycle 2 with peace of mind.

[Action effect]
Next, the operation and effect of the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method, and the program in the present embodiment will be described.

As described above, the vehicle body condition detection system according to the present embodiment acquires the vehicle body travel information from the sensor and the sensor that acquires the vehicle body travel information which is the information regarding the travel of the vehicle body 10, and analyzes the acquired vehicle body travel information. The analysis unit 41 is provided. Further, the analysis unit 41 estimates the state of the vehicle body 10 indirectly related to the vehicle body travel information based on the vehicle body travel information, and if the estimated state of the vehicle body 10 is a state in which the vehicle body 10 is abnormal, the analysis unit 41 estimates the state of the vehicle body 10. Abnormal state information, which is information indicating that there is an abnormality in the vehicle body 10, is output, and if the estimated state of the vehicle body 10 is a normal state, it is information indicating that the vehicle body 10 is normal. Output status information.

According to this, even if a sensor for directly detecting the state of the vehicle body 10 is not mounted, the vehicle body 10 indirectly related to the vehicle body running information by using the existing sensor provided on the vehicle body 10. The state of can be estimated. As a result of the estimation, the analysis unit 41 can output the abnormal state information when the vehicle body 10 has an abnormality, and can output the normal state information when the vehicle body 10 is normal. Therefore, the user and the servicer can recognize whether the current state of the vehicle body 10 is an abnormal state or a normal state of the vehicle body 10.

That is, the vehicle body condition detection system estimates the condition of the vehicle body 10 using an existing sensor, so that a person (user and servicer) can easily recognize whether the vehicle body 10 is in an abnormal state or a normal state. can. As a result, if the vehicle body 10 is in an abnormal state, it is possible to stop the use of the abnormal vehicle body 10 in advance, recover the abnormal condition, replace the vehicle body 10, and the like. You can also take. Further, if the vehicle body 10 is in a normal state, the user can use the electric bicycle 2 with peace of mind.

In particular, since the state of the vehicle body 10 indirectly related to the vehicle body running information can be estimated using the existing sensor, it is not necessary to mount a sensor for directly detecting the state of the vehicle body 10. It is possible to suppress an increase in the cost of the vehicle body 10.

Further, the electric bicycle 2 according to the present embodiment includes a vehicle body state detection system and an electric motor 43 for adding an auxiliary driving force for assisting the traveling of the vehicle body 10.

The electric bicycle 2 also has the same effect as described above.

Further, in the vehicle body state detection method according to the present embodiment, the vehicle body traveling information which is information about the vehicle body 10 is acquired, the acquired vehicle body traveling information is analyzed, and the vehicle body 10 is based on the acquired vehicle body traveling information. Estimating the state, and if the estimated state of the vehicle body 10 is a state in which the vehicle body 10 has an abnormality, output abnormal state information which is information indicating that the vehicle body 10 has an abnormality, and the estimated vehicle body. If the state of 10 is a normal state of the vehicle body 10, it includes outputting normal state information which is information indicating that the vehicle body 10 is normal.

This vehicle body condition detection method also has the same effect as described above.

In addition, the program according to this embodiment causes a computer to execute a vehicle body condition detection method.

In this program as well, the same effects as described above are achieved.

Further, in the vehicle body condition detection system according to the present embodiment, the abnormal state of the vehicle body 10 is a defect of the vehicle body 10 which is an obstacle to the running of the vehicle body 10.

According to this, the analysis unit 41 can estimate the defect of the vehicle body 10 which is an obstacle to the traveling of the vehicle body 10 based on the vehicle body traveling information.

Further, in the vehicle body condition detection system according to the present embodiment, the vehicle body 10 includes wheels (front wheels 12 and rear wheels 13) having tires 12a and 13a for the vehicle body 10 to travel. The state in which the vehicle body 10 has an abnormality is a state in which the air pressures of the tires 12a and 13a are equal to or less than the specified value.

According to this, even if a sensor for directly detecting the air pressure of the tires 12a and 13a is not mounted, the existing sensor provided on the vehicle body 10 is used and indirectly related to the vehicle body running information. The air pressures of the tires 12a and 13a can be estimated. Further, as a result of estimation, the analysis unit 41 outputs abnormal state information when the air pressures of the tires 12a and 13a are abnormal, and outputs normal state information when the air pressures of the tires 12a and 13a are normal. Or Therefore, the user can recognize whether the air pressures of the tires 12a and 13a are abnormal or the air pressures of the tires 12a and 13a are normal.

Further, the vehicle body state detection system according to the present embodiment includes a notification unit 50 that notifies the external device 3 of the abnormal state information and the normal state information output by the analysis unit 41.

According to this, since the external device 3 can acquire the abnormal state information and the normal state information, it is possible to grasp the state of the vehicle body 10. Therefore, when a defect of the vehicle body 10 that becomes an obstacle to the running of the vehicle body 10 is likely to occur, the servicer performs maintenance such as repair and adjustment of the electric bicycle 2 in order to improve the condition of the vehicle body 10. You can take action. Further, since the servicer can grasp the timing of performing such maintenance, it is not necessary to perform the work for checking the state of the vehicle body 10 one by one.

Further, the vehicle body state detection system according to the present embodiment includes a notification unit 61a that notifies the abnormal state information and the normal state information output by the analysis unit 41 to the surroundings of the vehicle body 10.

According to this, it is possible to notify the user who gets on the vehicle body 10 of the current state of the vehicle body 10. Therefore, the user who gets on the vehicle body 10 can recognize whether the vehicle body 10 is in an abnormal state or a normal state.

Further, in the vehicle body state detection system according to the present embodiment, the analysis unit 41 analyzes the vehicle body travel information based on at least one of rule-based and machine learning, thereby indirectly with the vehicle body travel information. The state of the related vehicle body 10 is estimated.

According to this, the state of the vehicle body 10 can be estimated accurately by using rule base and machine learning.

Further, in the vehicle body condition detection system according to the present embodiment, the sensor detects the human-powered driving force based on the pedaling force on the pedal 16.

According to this, the human-powered driving force can be used as the vehicle body running information to estimate the state of the vehicle. Therefore, the state of the vehicle body 10 can be estimated more accurately.

(Other deformation examples, etc.)
Although the present disclosure has been described above based on the embodiments, the present disclosure is not limited to these embodiments and the like.

For example, in the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method and the program according to the above embodiment, as shown in FIG. 5, the vehicle body 10a includes the frame 11, the front wheels 12, and the rear wheels 13. It may have a saddle 14, a handle 15, a pedal 16, a crank 17, a chain 19, a sensor, a motor unit 42, an operation unit 61, a manual switch 62, and a battery 63. That is, the vehicle body 10a does not have to have the control device 40 and the notification unit 50. FIG. 5 is a block diagram illustrating an electric bicycle 2 according to another modification.

Further, in the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method and the program according to the above embodiment, as shown in FIG. 6, the vehicle body 10b includes the frame 11, the front wheels 12, and the rear wheels 13. It has a saddle 14, a handle 15, a pedal 16, a crank 17, a chain 19, a sensor, a motor unit 42, a control device 40, an operation unit 61, a manual switch 62, and a battery 63. You may. That is, the vehicle body 10b does not have to have the notification unit 50. FIG. 6 is a block diagram illustrating another electric bicycle 2 according to another modification.

Further, in the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method and the program according to the above embodiment, as shown in FIG. 7, the vehicle body 10c includes the frame 11, the front wheels 12, and the rear wheels 13. It has a saddle 14, a handle 15, a pedal 16, a crank 17, a chain 19, a sensor, a motor unit 42, a notification unit 50, an operation unit 61, a manual switch 62, and a battery 63. You may. That is, the vehicle body 10c does not have to have the control device 40. FIG. 7 is a block diagram illustrating still another electric bicycle 2 according to another modification.

For example, in the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method and the program according to the above embodiment, the analysis unit 41 is mounted on the control device 40 of the electric bicycle 2, but is not limited thereto. .. For example, the analysis unit 41 may be mounted on an operation unit 61, a terminal device owned by the user, an external device 3, or the like.

Further, each processing unit used in the vehicle body condition detection system, the electric bicycle 2, the vehicle body condition detection method and the program according to each of the above embodiments is typically realized as an LSI which is an integrated circuit. These may be individually integrated into one chip, or may be integrated into one chip so as to include a part or all of them.

Further, the integrated circuit is not limited to the LSI, and may be realized by a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connection and settings of the circuit cells inside the LSI may be used.

In each of the above embodiments, each component may be configured by dedicated hardware or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

Further, the numbers used above are all exemplified for the purpose of specifically explaining the present disclosure, and the embodiments of the present disclosure are not limited to the exemplified numbers.

In addition, the division of functional blocks in the block diagram is an example, and multiple functional blocks can be realized as one functional block, one functional block can be divided into multiple, and some functions can be transferred to other functional blocks. You may. Further, the functions of a plurality of functional blocks having similar functions may be processed by a single hardware or software in parallel or in a time division manner.

Further, the order in which each step in the flowchart is executed is for illustration purposes in order to specifically explain the present disclosure, and may be an order other than the above. Further, a part of the above steps may be executed simultaneously with other steps (parallel).

In addition, a form obtained by applying various modifications to the embodiment that a person skilled in the art can think of, and a form realized by arbitrarily combining the components and functions in the embodiment without departing from the spirit of the present disclosure are also present. Included in the disclosure.

2 Electric bicycle 3 External device 10, 10a, 10b, 10c Body 12 Front wheels (wheels)
12a, 13a Tire 13 Rear wheel (wheel)
31 Crank rotation sensor (sensor)
32 Speed sensor (sensor)
33 Torque sensor (sensor)
34 Gyro sensor (sensor)
35 Tilt sensor (sensor)
36 Battery status detection sensor (sensor)
41 Analysis unit 50 Notification unit 61a Notification unit

Claims (10)

1. A sensor that acquires vehicle body driving information, which is information related to vehicle body driving,
   It is provided with an analysis unit that acquires the vehicle body traveling information from the sensor and analyzes the acquired vehicle body traveling information.
   The analysis unit
   Based on the vehicle body travel information, the state of the vehicle body indirectly related to the vehicle body travel information is estimated.
   If the estimated state of the vehicle body is a state in which the vehicle body has an abnormality, the abnormal state information which is information indicating that the vehicle body has an abnormality is output.
   If the estimated state of the vehicle body is a normal state, the vehicle body state detection system outputs normal state information which is information indicating that the vehicle body is normal.
2. The vehicle body condition detection system according to claim 1, wherein the abnormal condition of the vehicle body is a defect of the vehicle body that hinders the running of the vehicle body.
3. The vehicle body comprises wheels with tires for the vehicle body to travel.
   The vehicle body condition detection system according to claim 2, wherein the abnormal condition of the vehicle body is a state in which the air pressure of the tire is equal to or less than a specified value.
4. The vehicle body condition detection system according to any one of claims 1 to 3, further comprising a notification unit for notifying the external device of the abnormal state information and the normal state information output by the analysis unit.
5. The vehicle body condition detection system according to any one of claims 1 to 4, further comprising a notification unit that notifies the abnormal state information and the normal state information output by the analysis unit to the surroundings of the vehicle body.
6. Claim 1 estimates the state of the vehicle body indirectly related to the vehicle body travel information by analyzing the vehicle body travel information based on at least one of rule-based and machine learning. The vehicle body condition detection system according to any one of 5 to 5.
7. The vehicle body condition detection system according to any one of claims 1 to 6, wherein the sensor detects a human-powered driving force based on a pedaling force on a pedal.
8. The vehicle body condition detection system according to any one of claims 1 to 7.
   An electric bicycle including an electric motor that adds an auxiliary driving force to assist the running of the vehicle body.
9. Acquiring vehicle body driving information, which is information about the vehicle body,
   Analyzing the acquired vehicle body running information and
   Estimating the state of the vehicle body based on the vehicle body running information,
   If the estimated state of the vehicle body is a state in which the vehicle body has an abnormality, the abnormal state information which is the information indicating that the vehicle body has an abnormality is output.
   A vehicle body condition detection method including outputting normal state information which is information indicating that the vehicle body is normal if the estimated state of the vehicle body is a normal state.
10. A program for causing a computer to execute the vehicle body condition detection method according to claim 9.

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