TW201823090A - Dual-mode application and monitoring system for electric bicycle capable of providing and display real-time exercise information during riding and training modes - Google Patents

Abstract

A dual-mode application and monitoring system for electric bicycle comprises an electric bicycle body and an application program installed on a device by which the user may receive information. In which, the electric bicycle body at least comprises an electric bicycle body including pedals and front wheel and rear wheels, a power supply module, a rear-driven motor, a motor controller, a wireless communication module, and a torque sensor, wherein the motor controller further comprises at least one computation processing module. The computation processing module is used to calculate a pedal turning speed value, a stepping force value and a human body output power value based on the data recorded in a riding mode or a training mode, and to display and provide the real-time exercise information on the application program installed on the device by which the user may receive the information.

Description

Dual-mode application and monitoring system for electric bicycles

The present invention relates to a dual-mode application and monitoring system for electric bicycles, and in particular, it includes a dual-electric bicycle that can analyze real-time motion information during riding and can be displayed on a vehicle that can be received by a user. Mode application and monitoring system.

Generally, the operating mode of the bicycle is to step on the foot of the rider to drive a chainring to link a chain, thereby driving the rear wheels to rotate as the driving force of the bicycle. However, the road conditions of the general bicycle are not static. , Sometimes flat terrain, sometimes slope terrain, especially in long-distance riding, its foot force is inevitable during the riding process. Therefore, in order to solve this problem, some manufacturers have introduced electric bicycles.

The known electric bicycles are mainly driven by the horsepower of an electric motor to drive the chainring set to drive the chain to rotate forward with the rear wheels. However, if this type of electric bicycle is not equipped with a sensor, it will be difficult to accurately respond. The rider's needs adjust the horsepower output of the electric motor. In addition, if the battery can be charged by the rider's own pedaling, accurate control will be very important, so the torque is detected by the sensor is very important.

In addition, current types of electric bicycles often do not have the function of training indoors. Therefore, if an application can be developed that can be used to control the operation mode of the electric bicycle, it can be used with the sensors installed on the rear wheels. The device will be able to control the electric bicycle more accurately, so the application and the electric bicycle can be used for outdoor riding or indoor training. Therefore, the present invention should be an optimal solution.

The invention relates to a dual-mode application and monitoring system for electric bicycles, which can analyze real-time motion information during riding, and can further display the calculation results on a vehicle that can be received by a user for real-time motion information. Provided and displayed.

A dual-mode application and monitoring system for an electric bicycle includes: an electric bicycle body including a pedal, a front wheel, and a rear wheel; at least one electric power supply module; and an electric bicycle body installed on the electric bicycle body to provide operation. Electric power required; a rear-drive motor is installed at the rear wheel of the electric bicycle body, and the rear-drive motor is linked with the pedal to provide the boost or resistance to drive the rear wheel to passively rotate. The rear-drive motor can also recharge and charge the power supply module; a torque sensor is installed at the rear wheel of the electric bicycle body to detect when the pedal of the electric bicycle body is stepped on. A motor controller is installed on the electric bicycle body and is electrically connected to the power supply module and the torque sensor to control whether the rear-drive motor can operate in a riding mode or In training mode, the motor controller includes at least: an arithmetic processing module, wherein the arithmetic processing module is used for the torque signal detected by the torque sensor. A pedal rotation speed value, a pedaling force value, and a human body output power value are calculated, wherein the pedal rotation speed value and the pedaling force value are obtained through judgment analysis of the waveform of the torque signal, and the human body output power value is obtained through The pedal rotation speed value and the pedaling force value are obtained by calculation; a riding data detection and storage module is used to detect and store riding data generated in the riding mode; a wireless communication module is installed The electric bicycle is provided on the body of the electric bicycle, and is electrically connected with the motor controller and the power supply module, so as to transmit and receive information through wireless transmission, and the received information is transmitted to the motor controller; an application program, It is installed on a user-receivable vehicle, and the user-receivable vehicle can receive and transmit information with the wireless communication module of the electric bicycle body, and the application program includes at least one riding mode selection A module for selecting riding command information to be output to the motor controller, and the riding command information includes at least controlling motor output The amount of force, resistance, or feedback charging mode is selected, and the selected riding command information can be transmitted to the wireless communication module, and the wireless communication module is transmitted to the motor controller for the motor controller to perform. Controlling the rear-drive motor to complete the riding instruction information; and a training mode selection module for selecting training instruction information to be output to the motor controller, and the training instruction information includes at least controlling the output resistance of the motor or The feedback charging mode is selected, and the selected training instruction information can be transmitted to the wireless communication module, and the wireless communication module is transmitted to the motor controller, which is controlled by the motor controller to complete the rear-drive motor. The training instruction information.

More specifically, the feedback charging system can charge a constant resistance. The constant resistance charging is controlled by the motor controller. The rear-drive motor provides different output resistances of the motor. The pedal can interact with the rear-drive motor to generate different recharge currents.

More specifically, the feedback charging system is capable of charging at a constant speed. The constant speed charging is in a sliding environment. The motor controller can automatically fine-tune the motor output resistance provided by the rear-drive motor to maintain the vehicle's constant speed. Falling while generating recharge current.

More specifically, the arithmetic processing module includes a pedal rotation speed analysis unit, a pedaling force analysis unit, and a human body output power analysis unit electrically connected to the pedal rotation speed analysis unit and the pedaling force analysis module. .

More specifically, the pedal rotation speed analysis unit is configured to judge and analyze the waveform of the torque signal detected by the torque sensor, and analyze the cycle time of two full steps in the waveform to calculate the cycle time. Pedal return speed value.

More specifically, the pedaling force analysis unit is used to determine the waveform of the torque signal detected by the torque sensor, and analyze the peak value of the two pedals in a full circle in the waveform to calculate the pedaling force. Strength value.

More specifically, the human body output power analysis unit is configured to multiply the obtained pedal rotation speed value and the pedaling force value to calculate the human body output power value, and convert the human body output power value to the heat consumption value.

More specifically, the carrier that the user can receive is a handheld smart device or a tablet device.

More specifically, the riding instruction information further includes a vehicle lock instruction and an unlock instruction. The vehicle lock instruction enables the motor controller to abnormally drive the rear-drive motor, and the unlock instruction enables the motor. The controller stops abnormal driving of the rear-drive motor.

More specifically, the riding data is output power, heat consumption, riding time, riding speed, or riding distance, and the output power or heat consumption is calculated by the arithmetic processing module. And the riding time, riding speed or riding distance is detected by the riding data detection and storage module.

More specifically, the resistance of the motor output of the training instruction information varies according to different actual slopes.

More specifically, the resistance level of the motor output of the training instruction information can reduce the resistance of the motor output when the maximum torque point occurs according to the occurrence of the maximum torque point generated by the pedaling.

More specifically, the application program further includes a training mechanism setting module electrically connected to the training mode selection module, so as to be able to set at least one training course, and the training course includes at least one simulation Training parameters, and different simulated training parameters will correspond to different motor output resistance.

More specifically, the simulated training parameters are distance data, time-to-slope data, or a path specified in a map resource and its slope.

More specifically, the training mechanism setting module can import the riding data to set a training course based on the riding data.

More specifically, the motor controller further includes a training data detection and storage module electrically connected to the arithmetic processing module for detecting and storing training data generated in the training mode.

More specifically, the training data is output power, heat consumption, riding time, riding speed, or riding distance, and the output power or heat consumption is calculated by the arithmetic processing module, and The riding time, riding speed or riding distance is detected by the training data detection and storage module.

More specifically, the application program further includes a battery power remaining notification module, which can obtain the battery power remaining data of the power supply module and display it to notify the battery power residual value.

More specifically, the power supply module is a battery.

More specifically, the rear-drive motor is a direct-drive motor.

More specifically, the wireless communication module is capable of transmitting and receiving information via Bluetooth.

Regarding other technical contents, features and effects of the present invention, they will be clearly presented in the following detailed description of the preferred embodiments with reference to the drawings.

Please refer to Figs. 1 ~ 3B, which are schematic diagrams of the overall architecture of the dual-mode application and monitoring system of the electric bicycle of the present invention, the schematic diagram of the electric bicycle body, the schematic diagram of the application program architecture, and the architecture of the arithmetic processing module. The dual-mode application and monitoring system of an electric bicycle includes an electric bicycle body 1 including a pedal 11, a front wheel 12, and a rear wheel 13 and an application program 21 installed on a vehicle 2 that can be received by a user (in the present In the embodiment, the user-receivable vehicle is a handheld smart device or a tablet device. The electric bicycle body 1 further includes a power supply module 14, a rear-drive motor 15, and a motor control. Device 16, a wireless communication module 17, and a torque sensor 18, wherein the power supply module 14 is mounted on the electric bicycle body 1 to provide power required for operation, and the power supply module 14 is For a battery

The rear-drive motor 15 is installed at the rear wheel 13 of the electric bicycle body 1 (the rear-drive motor 15 in this embodiment uses a direct-drive motor), and the rear-drive motor 15 is connected to the pedal 11 Linked to provide boost or resistance to drive the rear wheel 13 to passively rotate. In addition, the rear-drive motor 15 can also recharge and charge the power supply module 14, and the motor controller 16 is equipped with the electric bicycle body. 1 and electrically connected to the power supply module 14 to control the operation and operation mode of the rear-drive motor 15;

The feedback charging mentioned above can be divided into: (1) When the feedback charging is a constant resistance charging, the constant resistance charging is controlled by the motor controller, and the rear-drive motor provides different output resistances of the motor with different strengths. By stepping on the pedal with strong motor output resistance, the rear-drive motor can be linked to generate different recharge currents. (2) When the feedback charging is constant-speed charging, when taxiing (downhill), the acceleration of gravity will drive the vehicle and the motor to continue to run forward. The constant-speed charging is automatically fine-tuned by the motor controller for the rear-drive motor. The provided motor output resistance counters the gliding force and maintains a constant speed glide while generating recharge current.

The wireless communication module 17 is installed on the electric bicycle body 1 and is electrically connected to the motor controller 16 and the power supply module 14 for transmitting and receiving information through a wireless transmission method. Information is transmitted to the motor controller 16, and the wireless communication module 17 in this embodiment transmits and receives information through Bluetooth.

The torque sensor 18 is installed at the rear wheel 13 of the electric bicycle body 1 to detect the torque generated when the pedal 11 of the electric bicycle body 1 is stepped on and detects the obtained torque. The signal is transmitted to the motor controller 16, and the torque sensor 18 can also be directly installed inside the motor controller 16;

The motor controller 16 includes an arithmetic processing module 161, a riding data detection and storage module 162, and a training data detection and storage module 163. The arithmetic processing module 161 is used for the wireless communication. The torque signal transmitted by the module 17 calculates a pedal rotation speed value, a pedaling force value, and a human body output power value. The pedal rotation speed value and the pedaling force value are obtained through judgment and analysis of the waveform of the torque signal. The output power of the human body is obtained by calculating the pedal rotation speed value and the pedaling force value;

The arithmetic processing module 161 includes a pedal rotation speed analysis unit 1611, a pedaling force analysis unit 1612, and a human body output power analysis unit electrically connected to the pedal rotation speed analysis unit 1611 and the pedaling force analysis module 2112. 1613, the operation of each unit is as follows: (1) The pedal rotation speed analysis unit 1611 is used to determine the waveform of the torque signal transmitted by the wireless communication module 17 and analyze the cycle time when two feet step on a full circle in the waveform. To calculate the pedal rotation speed value; (2) The pedaling force analysis unit 1612 is used to judge and analyze the waveform of the torque signal transmitted by the torque sensor 18, and the two pedals step on a full circle in the waveform. (3) The human body output power analysis unit 1613 is used to multiply the obtained pedal rotation speed value and the pedaling force value to calculate the human body output power value. The human body output power value is converted into the caloric value.

The application 21 includes a riding mode selection module 211, a training mode selection module 212, a training mechanism setting module 213, and a battery remaining notification module 214. When the electric bicycle body 1 rides outdoors At this time, the electric bicycle body 1 is shown in FIG. 4A, and during the start and the process of riding, the riding mode selection module 211 is used to be able to select the riding command information output to the motor controller 16, and the The riding command information includes at least controlling the assisting force, the resistance of the motor output, or selecting the feedback charging mode. The selected riding command information can be transmitted to the wireless communication module 17 and transmitted by the wireless communication module 17 Go to the motor controller 16 to control the rear-drive motor 15 to complete the riding instruction information;

In addition, the riding instruction information further includes a car lock instruction and an unlock instruction, which can cause the motor controller 16 to abnormally drive the rear-drive motor 15, and the unlock instruction can enable the motor controller 16 Stop abnormal driving of the rear-drive motor 15;

When the electric bicycle body 1 is used for indoor training, as shown in FIG. 4B, a stand 19 must be set up on the rear wheel 13, and the training mode selection module 212 is used to enable The training instruction information selected for output to the motor controller 16 includes at least controlling the output resistance of the motor or selecting a feedback charging mode, and the selected training instruction information can be transmitted to the wireless communication module 17, And transmitted from the wireless communication module 17 to the motor controller 16 to control the rear-drive motor 15 to complete the training instruction information;

The resistance of the motor output of the training instruction information can be adjusted by setting the following conditions: (1) the resistance of the motor output can be adjusted according to different actual slopes; (2) the resistance of the motor output can be adjusted according to the stepping position The occurrence of the maximum torque point occurs to reduce the resistance of the motor output when the maximum torque point occurs. Generally, when the crank is at 90 degrees, that is, at 3 o'clock, it helps the tangential direction of the crank. Will be perpendicular to the ground, at this time the pedaling force will get the best results. In contrast, at 270 degrees and 9 o'clock, it is not only difficult to apply force, but the negative impact of leg weight at this time is also the largest. Therefore, when pursuing pedaling efficiency, you should pay attention to whether the maximum force point of the pedaling is near the 3 o'clock direction; and when the pedaling action reaches the 9 o'clock direction, can the legs pass smoothly and quickly, which will affect the pedaling Efficiency, so at the point of maximum force (maximum torque point), the resistance of the motor output can be reduced, so that the rider can step on it more easily.

The riding data and training data generated in the riding mode or the training mode can be stored in the riding data detection and storage module 162 or the training data detection and storage module 163. The riding data or training data can be output power, heat consumption, riding time, riding speed, or riding distance. The output power or heat consumption is calculated by the arithmetic processing module 161. The riding time, riding speed, or riding distance is detected by the riding data detection and storage module or the training data detection and storage module 163;

The training mechanism setting module 213 is capable of setting at least one set of training courses. The training course includes at least one simulated training parameter, wherein the simulated training parameter is a distance data, a time-to-slope data, or a The path and slope specified in the map data, and different simulated training parameters will correspond to different motor output resistance. In addition, the training mechanism setting module 213 can import the riding data to use the riding data The training course is further set, so the user can record after riding a lap at the expected location, and import the parameters contained in this record to design a training course, so the user can ride the same repeatedly Road section for training;

The power remaining notification module 214 can obtain the power remaining data of the power supply module and display it to notify the power remaining value.

The signal waveform obtained through the torque sensor 18 is shown in Figs. 5A and 6; the difference between Figs. 5A and 6 is that the torque signals are at two different speeds. Figure 5A further illustrates the analysis. As shown in Figure 5B, "A" represents the difference between the peak and trough, and the difference is caused by the pedaling force, and "B" represents the left foot stepping forward from the uppermost position. To the bottom position, "C" means that the right foot is stepped forward from the top position to the bottom position;

After that, the cycle time of two pedaling steps in the waveform must be judged and analyzed to calculate the pedal rotation speed value. Therefore, as shown in Figure 5B, the pedaling speed for one full cycle is 1.2 seconds (3 × 400ms). 60 / 1.2 (RPM is the speed per minute, so the unit needs to be converted to per minute) to get the pedal return speed value (Cadence RPM) to 50 RPM;

In order to calculate the pedaling force value, it is necessary to determine and analyze the peak value of the two pedaling steps in the waveform, so the average value of the calculated pedaling force is 2.5x100mV = 250mV, and then the converted pedaling force is 35Nm (torque The factory characteristic of the sensor is 7.14mV / Nm, which means that the output voltage of 7.14mV can be produced by the tonmeter per year, so 250 / 7.14 will be able to get 35Nm);

Then, to calculate the output power of the human body, you must multiply the value of the pedal rotation speed and the pedaling force value. Therefore, the calculated output power of the human body is π / 30 × 50 (RPM) × 35 (Nm) = 183.2W, and then converted to obtain the caloric value. Since the relationship between heat and power is 1 cal = 4.187J = 4.187Watt / Sec (W), and the unit is converted to 1Kcal = 4187J = 4187Watt / Sec (W), After that, the calculated power value (W) is integrated with time, and then the heat consumption value is obtained by conversion according to the above relationship.

Figure 7 is a waveform diagram representing the recharge at a constant speed. When the slope changes from steep to gentle, in order to maintain constant speed charging, when the free taxi speed changes from high to low, if there is a free taxi speed that is higher than the recharge speed limit point It is necessary to increase the pulling force at different levels, so as shown in the figure, the higher the free-running speed, the stronger the pulling force. On the contrary, when the free-running speed is lower, the pulling force will be relatively weak, and when the free-running speed is equal to There is no need to provide pulling force when recharging the speed limit point.

The implementation screen of the application 2 is shown in Figs. 8A to 8E, and the application 2 has an operation interface providing module for providing all the operation interfaces of the application 2 as shown in Fig. 8A. , The user is allowed to select "riding mode" or "training mode", and when performing "riding mode", as shown in Figure 8B, the riding speed, riding time, single trip will be displayed Mileage, accumulated total mileage, human output power, remaining riding mileage, remaining battery power, and assistance mode selection (when the assistance mode selection is larger, the corresponding motor thrust is larger, and vice versa, the smaller, that is, when riding If you use the same pedaling force, you will get different motor assistance.);

When the "training mode" is performed, as shown in Fig. 8C, the output power of the human body, single mileage, riding speed, riding time, simulated slope adjustment, step rotation, and human calorie consumption (simulated slope) are displayed. The adjustment is based on the separation and simulation of the percentage of the actual road surface, so it can simulate the different degrees of actual road surface; and can further select the training information record, as shown in Figure 8D, it will display the recording date and maximum output power , Average output power, calories consumed by the human body, and weight-to-weight ratio (the weight-to-weight ratio is defined as the average power output by the human body divided by weight);

And the application 2 is more capable of setting, as shown in Figure 8E, it will display the set weight, reset single mileage and riding time, version information, Bluetooth connection pairing, manual lock function, automatic lock Car function and reminder, engineering mode, and changing user password. After the automatic car lock function and reminder is turned on, you can set the distance between the application 2 and the electric bicycle body 1 Bluetooth offline or away, then you can control the The rear-drive motor 15 is driven abnormally. In addition to automatic lock, manual lock can also be performed. When the manual lock function is selected, as shown in FIG. 9A, the screen displays the unlocked state. To lock, press the screen in Figure 9A and the screen in Figure 9B will be displayed to ask whether to lock. After confirming the lock, as shown in Figure 9C, in the "riding mode", You will see the locked symbol of the vehicle. If you want to unlock the vehicle, after selecting the manual lock function, the screen in Figure 9D will be displayed. As long as you press the screen in Figure 9D again, you can complete the unlock.

Compared with other conventional technologies, the dual-mode application and monitoring system of the electric bicycle provided by the present invention has the following advantages: (1) The present invention can develop an application program that can be used to control the operation mode of the electric bicycle. And with the sensors installed on the rear wheels, the electric bicycle can be controlled more accurately, so the application and the electric bicycle can be used for outdoor riding or indoor training. (2) The present invention can be applied to the rear wheels of any type of electric bicycle, and after capturing data in a high capturing frequency manner, the real-time analysis and calculation of the riding process can be performed according to the wave shape change and the height change. The pedaling frequency and pedaling force, and the calculation result can be displayed on a vehicle that can be received by a user, so as to provide and display real-time exercise information.

The present invention has been disclosed as above through the above-mentioned embodiments, but it is not intended to limit the present invention. Anyone with ordinary knowledge in this technical field will understand the aforementioned technical features and embodiments of the present invention without departing from the scope of the present invention. Within the spirit and scope, some changes and retouching can be made. Therefore, the scope of patent protection of the present invention shall be subject to the definition in the claims attached to this specification.

1‧‧‧Electric bicycle body

11‧‧‧ pedal

12‧‧‧ front wheel

13‧‧‧ rear wheel

14‧‧‧Power Supply Module

15‧‧‧ Rear Drive Motor

16‧‧‧Motor controller

161‧‧‧ Operation Processing Module

1611‧‧‧ pedal rotation speed analysis unit

1612‧‧‧Stepping Force Analysis Unit

1613‧‧‧Human body output power analysis unit

162‧‧‧ Riding data detection and storage module

163‧‧‧ Training data detection and storage module

17‧‧‧Wireless communication module

18‧‧‧Torque sensor

19‧‧‧ Stand

2‧‧‧ User acceptable vehicle

21‧‧‧ Apps

211‧‧‧Riding mode selection module

212‧‧‧Training mode selection module

213‧‧‧ Training mechanism setting module

214‧‧‧ Battery Remaining Notification Module

[Figure 1] Schematic diagram of the overall architecture of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Fig. 2] It is a schematic diagram of the electric bicycle body structure of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 3A] is a schematic diagram of the motor controller architecture of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 3A] is a schematic diagram of the motor controller architecture of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 3B] Schematic diagram of the arithmetic processing module structure of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 3C] is a schematic diagram of the application program architecture of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 4A] is a schematic diagram of the riding mode structure of the dual-mode application and monitoring system of the electric bicycle of the present invention. [FIG. 4B] It is a schematic diagram of the training mode structure of the dual mode application and monitoring system of the electric bicycle of the present invention. [Figure 5A] It is a schematic diagram of the torque signal waveform of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 5B] It is a schematic diagram of the torque signal waveform analysis of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 6] Schematic diagram of the torque signal waveforms of the dual-mode application and monitoring system of the electric bicycle of the present invention at different speeds. [FIG. 7] It is a schematic diagram of the fixed-speed recharge waveform of the dual-mode application and monitoring system of the electric bicycle of the present invention. [FIG. 8A] It is a schematic diagram of the application program implementation of the dual mode application and monitoring system of the electric bicycle of the present invention. [Fig. 8B] It is a schematic diagram of the application program implementation of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 8C] It is a schematic diagram of the application program implementation of the dual mode application and monitoring system of the electric bicycle of the present invention. [Figure 8D] It is a schematic diagram of the application program implementation of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Figure 8E] It is a schematic diagram of the application program implementation of the dual-mode application and monitoring system of the electric bicycle of the present invention. [Fig. 9A] It is a schematic diagram of the implementation of lock-up and unlocking of the dual-mode application and monitoring system of the electric bicycle of the present invention. [FIG. 9B] It is a schematic diagram of the implementation of lock-up and unlocking of the dual-mode application and monitoring system of the electric bicycle of the present invention. [FIG. 9C] It is a schematic diagram of implementation of locking and unlocking of the dual mode application and monitoring system of the electric bicycle of the present invention. [Fig. 9D] It is a schematic diagram of the implementation of lock-up and unlocking of the dual-mode application and monitoring system of the electric bicycle of the present invention.

Claims (21)

A dual-mode application and monitoring system for an electric bicycle includes: an electric bicycle body including a pedal, a front wheel, and a rear wheel; at least: an electric power supply module installed on the electric bicycle body for providing Electricity required for operation; a rear-drive motor is installed at the rear wheel of the electric bicycle body, and the rear-drive motor is linked with the pedal to provide boost or resistance to drive the rear wheel to passively rotate; The rear-drive motor can also recharge and charge the power supply module. A torque sensor is installed at the rear wheel of the electric bicycle body to detect when the pedal of the electric bicycle body is stepped on. Generated torque; a motor controller is installed on the electric bicycle body and is electrically connected with the power supply module and the torque sensor to control the rear-drive motor to operate in a riding mode or Is in training mode, and the motor controller includes at least: an arithmetic processing module, wherein the arithmetic processing module is used for The torque signal detected by the torque sensor calculates a pedal rotation speed value, a pedaling force value, and a human body output power value, wherein the pedal rotation speed value and the pedaling force value are judged and analyzed by the waveform of the torque signal Obtained, and the output value of the human body is obtained through calculation of the pedal rotation speed value and the pedaling force value; a riding data detection and storage module for detecting and storing riding data generated in the riding mode Data; A wireless communication module is installed on the body of the electric bicycle and is electrically connected with the motor controller and the power supply module for transmitting and receiving information through wireless transmission, and capable of receiving information transmission To the motor controller; an application program is installed on a carrier that the user can receive, and the carrier that the user can receive can receive and transmit information with the wireless communication module of the electric bicycle body, and The application includes at least: a riding mode selection module for selecting riding command information output to the motor controller And the riding command information includes at least controlling the power output of the motor, the resistance, or the feedback charging mode, and the selected riding command information can be transmitted to the wireless communication module, and the wireless communication module Sent to the motor controller to control the rear-drive motor to complete the riding instruction information; and a training mode selection module for selecting training instruction information to be output to the motor controller, The training instruction information includes at least controlling the output resistance of the motor or selecting a feedback charging mode, and the selected training instruction information can be transmitted to the wireless communication module and the wireless communication module to the motor controller. The motor controller controls the rear-drive motor to complete the training instruction information. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the feedback charging system is capable of charging a constant resistance, and the constant resistance charging system is controlled by the motor controller to provide the rear-drive motor with different strength motor outputs Resistance, and the output resistance of motors with different strengths by stepping on the pedal can cause the rear-drive motor to generate different recharge currents. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the feedback charging system can charge at a constant speed, and the constant speed charging is in a sliding environment, and the motor controller can automatically fine-tune the rear drive The motor provides the motor output resistance to keep the vehicle down at a constant speed, and at the same time, it can generate a recharge current. The dual-mode application and monitoring system for an electric bicycle according to claim 1, wherein the arithmetic processing module includes a pedal rotation speed analysis unit, a pedaling force analysis unit, and a pedal rotation speed analysis unit and the pedaling force Human body output power analysis unit electrically connected to the analysis module. The dual-mode application and monitoring system for electric bicycles as described in claim 4, wherein the pedal rotation speed analysis unit is used to judge and analyze the waveform of the torque signal detected by the torque sensor, and the two feet are stepping on the waveform. The cycle time of a full circle is used to calculate the pedal rotation speed value. The dual-mode application and monitoring system for an electric bicycle according to claim 4, wherein the pedaling force analysis unit is used to determine and analyze the waveform of the torque signal detected by the torque sensor. The peak value of the entire circle is used to calculate the pedaling force value. The dual-mode application and monitoring system for an electric bicycle according to claim 4, wherein the human body output power analysis unit is configured to multiply the obtained pedal rotation speed value and the pedaling force value to calculate the human body output power value, The human body output power value is converted into the caloric value. The dual-mode application and monitoring system for an electric bicycle according to claim 1, wherein the vehicle that the user can receive is a handheld smart device or a tablet device. The dual-mode application and monitoring system for an electric bicycle according to claim 1, wherein the riding instruction information further includes a car lock instruction and an unlock instruction, and the car lock instruction enables the motor controller to the rear-drive motor The abnormal driving is performed, and the unlocking command can cause the motor controller to stop the abnormal driving of the rear-drive motor. The dual-mode application and monitoring system of electric bicycle according to claim 1, wherein the riding data is output power, heat consumption, riding time, riding speed or riding distance, and the output power is The heat consumption is calculated by the arithmetic processing module, and the riding time, riding speed or riding distance is detected by the riding data detection and storage module. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the resistance of the motor output of the training instruction information varies according to different actual slopes. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the resistance of the motor output of the training instruction information can be based on the occurrence of the maximum torque point generated by the pedaling when the maximum torque point occurs Reduce the resistance of the motor output. The dual mode application and monitoring system of electric bicycle according to claim 1, wherein the application program further includes a training mechanism setting module electrically connected to the training mode selection module, so as to be able to set at least one group of Training course, and the training course includes at least one simulation training parameter, and different simulation training parameters will correspond to different motor output resistances. The dual-mode application and monitoring system for electric bicycles according to claim 13, wherein the simulated training parameters are a distance data, a time-to-slope data, or a path and its slope specified in a map resource. The dual-mode application and monitoring system for electric bicycles as described in claim 13, wherein the training mechanism setting module can import the riding data to set a training course based on the riding data. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the motor controller further includes a training data detection and storage module electrically connected to the arithmetic processing module for detecting and Store training data generated in training mode. The dual-mode application and monitoring system of electric bicycle according to claim 16, wherein the training data is output power, heat consumption, riding time, riding speed or riding distance, and the output power or consumption is The heat is calculated by the arithmetic processing module, and the riding time, riding speed, or riding distance is detected by the training data detection and storage module. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the application program further includes a power residual notification module, which can obtain the power residual data of the power supply module and display it to notify the power residual Value. The dual-mode application and monitoring system for an electric bicycle according to claim 1, wherein the power supply module is a battery. The dual-mode application and monitoring system for an electric bicycle according to claim 1, wherein the rear-drive motor is a direct-drive motor. The dual-mode application and monitoring system for electric bicycles as described in claim 1, wherein the wireless communication module is capable of transmitting and receiving information via Bluetooth.