Power output self-adaptive system and method for electric power-assisted bicycle based on user habits

Abstract

The invention relates to the technical field of electric vehicles, in particular to an electric power-assisted bicycle power output self-adaption system and method.The system comprises a data obtaining module, a controller module, a motor management module, an inductor module and a user interface module, and the data obtaining module obtains sensing data monitored by the inductor module in real time; the controller module analyzes and processes the sensing data based on an intelligent algorithm to obtain an analysis result; the motor management module dynamically adjusts a control instruction for the motor based on an analysis result, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output; the user interface module customizes a power-assisted adjustment strategy based on personal preferences and riding requirements of a user and feeds back the power-assisted adjustment strategy to the controller module, the system can provide personalized power-assisted output according to personal habits and real-time road conditions of the user, riding experience is improved, the power-assisted strategy is continuously optimized through a machine learning algorithm, and riding experience is improved. And the actual demand of the user can be better met.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to a power output adaptive system and method for an electric power-assisted bicycle based on user habits. Background Art

[0002] Traditional electric-assisted bicycles usually adjust the motor's output power according to the preset power-assist mode or riding speed. This method often cannot adapt well to different users' riding habits and real-time road conditions. For example, when going uphill or on rough roads, users may need more power, but traditional systems may not be able to provide the required power in a timely and accurate manner. In addition, different users have different riding habits and physical conditions, and fixed-mode power-assist methods cannot meet personalized needs. Summary of the invention

[0003] The purpose of the present invention is to provide an electric-assisted bicycle power output adaptive system and method based on user habits, aiming to achieve personalized adjustment of the electric-assisted bicycle power output to adapt to the user's personal riding habits and real-time road conditions.

[0004] To achieve the above-mentioned purpose, in a first aspect, the present invention provides an adaptive power output system for an electric-assisted bicycle based on user habits, comprising a data acquisition module, a controller module, a motor management module, a sensor module and a user interface module, wherein the sensor module, the data acquisition module, the controller module and the motor management module are connected in sequence, and the user interface module is connected to the controller module;

[0005] The sensor module monitors various data and environmental data of the bicycle in real time based on sensor technology, and transmits the data to the data acquisition module;

[0006] The data acquisition module is used to acquire various data and environmental data of the monitored bicycle, obtain sensor data, and transmit the sensor data to the controller module;

[0007] The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0008] The motor management module dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output;

[0009] The user interface module customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module.

[0010] Wherein, the sensor module includes a sensor unit and an environment sensing unit, and the sensor unit and the environment sensing unit are respectively connected to the data acquisition module;

[0011] The sensor unit is used to monitor various data of the bicycle in real time and transmit the various data of the bicycle to the data acquisition module;

[0012] The environment sensing unit is used to monitor the environment data around the bicycle in real time and transmit the environment data to the data acquisition module.

[0013] Wherein, the controller module includes a control unit, an analysis unit and a sending unit, and the control unit is connected to the analysis unit and the sending unit respectively;

[0014] The control unit is used to control the operation of the analysis unit and the sending unit;

[0015] The analysis unit analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0016] The sending unit is used to send the analysis result to the motor management module.

[0017] Wherein, the user interface module includes a display interface unit and an operation unit, and the display interface unit is connected to the operation unit;

[0018] The display interface unit is used to display the current driving mode of the bicycle, the output power of the motor and the sensing data;

[0019] The operating unit customizes the power assist adjustment strategy based on the user's personal preferences and riding needs.

[0020] Among them, the sensor unit includes a speed sensor, an acceleration sensor, a seat weight sensor, a pedal rotation direction sensor, a pedal frequency sensor, a motor current sensor, a pedal torque sensor and a road slope sensor, and the environmental sensing unit includes a humidity sensor and a barometer.

[0021] In a second aspect, the present invention further provides an adaptive method for power output of an electric-assisted bicycle based on user habits, which is applied to the adaptive system for power output of an electric-assisted bicycle based on user habits as described in the first aspect above, and comprises the following steps:

[0022] The data acquisition module acquires the sensor data monitored in real time by the sensor module, and transmits the sensor data to the controller module;

[0023] The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0024] The motor management module dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output;

[0025] The user interface module customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module.

[0026] The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain the specific method of the analysis result:

[0027] The analysis unit analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0028] The control unit controls the sending unit to send the analysis result to the motor management module.

[0029] The power output adaptive system of an electric power-assisted bicycle based on user habits of the present invention obtains the sensor data monitored in real time by the sensor module through the data acquisition module, and transmits the sensor data to the controller module; the controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result; the motor management module dynamically adjusts the control instructions to the motor based on the analysis result, dynamically adjusts the output power of the motor, and realizes personalized adjustment of the power output; the user customizes the power-assisted adjustment strategy based on the user's personal preferences and riding needs through the user interface module, and feeds back to the controller module; the system can provide personalized power-assisted output according to the user's personal habits and real-time road conditions, and improve the riding experience; through a machine learning algorithm, the system can continuously optimize the power-assisted strategy to make it more in line with the user's actual needs; accurate power-assisted adjustment can effectively reduce unnecessary energy consumption and improve battery life; real-time road condition monitoring and intelligent power-assisted adjustment can improve riding safety and comfort and reduce the occurrence of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 It is a connection diagram of the power output adaptive system of the electric power-assisted bicycle based on user habits provided by the present invention.

[0032] Figure 2 It is a flow chart of the method for self-adapting power output of an electric-assisted bicycle based on user habits provided by the present invention.

[0033] Figure 3 It is a flowchart of the specific method in which the controller module analyzes and processes the sensor data based on the intelligent algorithm to obtain the analysis results.

[0034] In the figure: 1-data acquisition module, 2-controller module, 3-motor management module, 4-sensor module, 5-user interface module, 6-sensor unit, 7-environmental perception unit, 8-control unit, 9-analysis unit, 10-issuance unit, 11-display interface unit, 12-operation unit. DETAILED DESCRIPTION

[0035] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0036] See also Figure 1 In a first aspect, the present invention provides an adaptive power output system for an electric-assisted bicycle based on user habits, comprising a data acquisition module 1, a controller module 2, a motor management module 3, a sensor module 4 and a user interface module 5, wherein the sensor module 4, the data acquisition module 1, the controller module 2 and the motor management module 3 are connected in sequence, and the user interface module 5 is connected to the controller module 2;

[0037] The sensor module 4 monitors various data and environmental data of the bicycle in real time based on sensor technology, and transmits the data to the data acquisition module 1;

[0038] The data acquisition module 1 is used to acquire various data and environmental data of the monitored bicycle, obtain sensor data, and transmit the sensor data to the controller module 2;

[0039] The controller module 2 analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0040] The motor management module 3 dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output;

[0041] The user interface module 5 customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module 2.

[0042] In an embodiment of the present invention, the data acquisition module 1 acquires the sensor data monitored in real time by the sensor module 4, and transmits the sensor data to the controller module 2. The controller module 2 analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result. The motor management module 3 dynamically adjusts the control instructions to the motor based on the analysis result, dynamically adjusts the output power of the motor, and realizes personalized adjustment of the power output. The user customizes the power assistance adjustment strategy based on the user's personal preferences and riding needs through the user interface module 5, and feeds back to the controller module 2. The system can provide personalized power assistance output according to the user's personal habits and real-time road conditions, and improve the riding experience. Through the machine learning algorithm, the system can continuously optimize the power assistance strategy to make it more in line with the actual needs of the user. Accurate power assistance adjustment can effectively reduce unnecessary energy consumption and improve battery life. Real-time road condition monitoring and intelligent power assistance adjustment can improve riding safety and comfort and reduce the occurrence of accidents.

[0043] Furthermore, the sensor module 4 includes a sensor unit 6 and an environment sensing unit 7, and the sensor unit 6 and the environment sensing unit 7 are respectively connected to the data acquisition module 1;

[0044] The sensor unit 6 is used to monitor various data of the bicycle in real time and transmit the various data of the bicycle to the data acquisition module 1;

[0045] The environment sensing unit 7 is used to monitor the environment data around the bicycle in real time and transmit the environment data to the data acquisition module 1 .

[0046] In an embodiment of the present invention, the sensor unit 6 monitors various data of the bicycle in real time, and transmits the various data of the bicycle to the data acquisition module 1; the environmental perception unit 7 monitors the environmental data around the bicycle in real time, and transmits the environmental data to the data acquisition module 1, wherein the sensor unit 6 includes a speed sensor, an acceleration sensor, a seat weight sensor, a pedal rotation direction sensor, a pedal frequency sensor, a motor current sensor, a pedal torque sensor and a road slope sensor, and the environmental perception unit 7 includes a humidity sensor and a barometer.

[0047] Further, the controller module 2 includes a control unit 8, an analysis unit 9 and a sending unit 10, and the control unit 8 is connected to the analysis unit 9 and the sending unit 10 respectively;

[0048] The control unit 8 is used to control the operation of the analysis unit 9 and the sending unit 10;

[0049] The analysis unit 9 analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0050] The sending unit 10 is used to send the analysis result to the motor management module 3 .

[0051] In the embodiment of the present invention, the control unit 8 controls the operation of the analysis unit 9 and the sending unit 10. The analysis unit 9 analyzes and processes the sensor data based on the intelligent algorithm to obtain the analysis result. Specifically, the user's riding habits and current road conditions are analyzed in real time based on the sensor data. For example, the algorithm can identify the user's pedaling force and frequency at different slopes and speeds, as well as the user's need for power assistance. The sending unit 10 sends the analysis result to the motor management module 3.

[0052] Further, the user interface module 5 includes a display interface unit 12 and an operation unit 13, and the display interface unit 12 and the operation unit 13 are connected;

[0053] The display interface unit 12 is used to display the current driving mode of the bicycle, the output power of the motor and the sensing data;

[0054] The operating unit 13 customizes the power assist adjustment strategy based on the user's personal preferences and riding needs.

[0055] In the embodiment of the present invention, the display interface unit 12 displays the current driving mode of the bicycle, the output power of the motor and the sensing data, and the operating unit 13 customizes the power assist adjustment strategy based on the user's personal preferences and riding needs.

[0056] See also Figure 2-Figure 3 In a second aspect, the present invention further provides an adaptive method for power output of an electric-assisted bicycle based on user habits, which is applied to the adaptive system for power output of an electric-assisted bicycle based on user habits as described in the first aspect above, and comprises the following steps:

[0057] S1: the data acquisition module 1 acquires the sensor data monitored in real time by the sensor module 4, and transmits the sensor data to the controller module 2;

[0058] In the embodiment of the present invention, through the multiple intelligent sensors in the sensor unit 6, such as speed sensor, acceleration sensor, seat load sensor, pedal rotation direction sensor, pedal frequency sensor, motor current sensor, pedal torque sensor and road slope sensor, etc. These sensors can monitor various states of the bicycle in real time, such as speed, acceleration, rider's weight distribution, pedal force and frequency, motor current and road slope, etc. The environment sensing unit 7 monitors external environment information such as weather conditions in real time.

[0059] S2 the controller module 2 analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0060] Specific method:

[0061] S21 the analysis unit 9 analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result;

[0062] In the embodiment of the present invention, the analysis unit 9 has a built-in intelligent algorithm, which can analyze the user's riding habits and current road conditions in real time based on the data collected by the sensor. For example, the algorithm can identify the user's pedaling force and frequency at different slopes and speeds, as well as the user's need for power assistance.

[0063] S22 The control unit 8 controls the sending unit 10 to send the analysis result to the motor management module 3 .

[0064] S3 motor management module 3 dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output;

[0065] In the embodiment of the present invention, the motor management module 3 dynamically adjusts the output power of the motor based on the analysis results to provide the most appropriate power assistance. For example, when the user is riding uphill or against the wind, the system will automatically increase the power assistance; when the user is riding at high speed on a flat road, the system will automatically reduce the power assistance to maintain riding stability.

[0066] The S4 user interface module 5 customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module 2.

[0067] In the embodiment of the present invention, the user can set a personalized power-assist mode according to his / her preferences and needs through the user interface module 5. For example, the user can select parameters such as power-assist intensity and power-assist start conditions to meet the needs of different riding scenarios.

[0068] What is disclosed above is only a preferred embodiment of the electric-assisted bicycle power output adaptive system and method based on user habits of the present invention. Of course, this cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiments and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. The power output adaptive system of electric assisted bicycle based on user habits is characterized by ； It includes a data acquisition module, a controller module, a motor management module, a sensor module and a user interface module, wherein the sensor module, the data acquisition module, the controller module and the motor management module are connected in sequence, and the user interface module is connected to the controller module; The sensor module monitors various data and environmental data of the bicycle in real time based on sensor technology, and transmits the data to the data acquisition module; The data acquisition module is used to acquire various data and environmental data of the monitored bicycle, obtain sensor data, and transmit the sensor data to the controller module; The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result; The motor management module dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output; The user interface module customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module.

2. The power output adaptive system for electric-assisted bicycles based on user habits as claimed in claim 1, characterized in that ； The sensor module includes a sensor unit and an environment sensing unit, and the sensor unit and the environment sensing unit are connected to the data acquisition module respectively; The sensor unit is used to monitor various data of the bicycle in real time and transmit the various data of the bicycle to the data acquisition module; The environment sensing unit is used to monitor the environment data around the bicycle in real time and transmit the environment data to the data acquisition module.

3. The power output adaptive system for electric-assisted bicycles based on user habits as claimed in claim 1, characterized in that ； The controller module includes a control unit, an analysis unit and a sending unit, and the control unit is connected to the analysis unit and the sending unit respectively; The control unit is used to control the operation of the analysis unit and the sending unit; The analysis unit analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result; The sending unit is used to send the analysis result to the motor management module.

4. The power output adaptive system for electric-assisted bicycles based on user habits as claimed in claim 1, characterized in that ； The user interface module includes a display interface unit and an operation unit, and the display interface unit is connected to the operation unit; The display interface unit is used to display the current driving mode of the bicycle, the output power of the motor and the sensing data; The operating unit customizes the power assist adjustment strategy based on the user's personal preferences and riding needs.

5. The power output adaptive system for electric-assisted bicycles based on user habits as claimed in claim 2, characterized in that ； The sensor unit includes a speed sensor, an acceleration sensor, a seat weight sensor, a pedal rotation direction sensor, a pedal frequency sensor, a motor current sensor, a pedal torque sensor and a road slope sensor, and the environment sensing unit includes a humidity sensor and a barometer.

6. The method for adaptive power output of an electric-assisted bicycle based on user habits is applied to the adaptive power output system of an electric-assisted bicycle based on user habits as claimed in any one of claims 1 to 5, characterized in that: The following steps are involved: The data acquisition module acquires the sensor data monitored in real time by the sensor module, and transmits the sensor data to the controller module; The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result; The motor management module dynamically adjusts the control instructions to the motor based on the analysis results, dynamically adjusts the output power of the motor, and realizes personalized adjustment of power output; The user interface module customizes the power assist adjustment strategy based on the user's personal preferences and riding requirements, and feeds back to the controller module.

7. The method for self-adapting power output of an electric-assisted bicycle based on user habits as claimed in claim 6, It is characterized by: The controller module analyzes and processes the sensor data based on an intelligent algorithm to obtain the specific method of the analysis result: The analysis unit analyzes and processes the sensor data based on an intelligent algorithm to obtain an analysis result; The control unit controls the sending unit to send the analysis result to the motor management module.

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