Control method for automatic adjustment of electric assistance power and electric bicycle

By integrating slope, wind speed and vehicle speed sensors on the electric bicycle, combined with the total driving power and power distribution formula, automatic adjustment of the electric power is achieved, which solves the problem that the motor power cannot be intelligently adjusted in the existing technology, and improves the comfort and intelligence of the riding experience.

CN119503067APending Publication Date: 2025-02-25CHONGQING ZONGSHEN INNOVATION TECH RES INST CO LTD
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Patent Information

Application Number
CN202411747665.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

The existing electric bicycle control methods cannot intelligently adjust the motor assist according to real-time road conditions and the driver's physical strength, resulting in insufficient comfortable and intelligent riding experience under different road conditions.

Method used

The slope sensor, wind speed sensor and vehicle speed sensor are used to detect real-time road conditions. By calculating the total driving power and the power distribution formula in each mode, the electric power assist power is automatically adjusted to achieve intelligent response to different road conditions.

Benefits of technology

Through intelligent adjustment of electrical power, it can provide the most comfortable riding experience under different road conditions, reduce the difficulty and cycle of development and debugging, and make the control more accurate.

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Abstract

The invention discloses an electric assistance power automatic adjustment control method and an electric bicycle, which are characterized in that the electric bicycle comprises a bicycle body, a battery, a mode switcher, a wind speed sensor, a slope sensor, a pedal rotating speed sensor, a rear wheel rotating speed sensor, an inorganic automatic transmission, a driving motor and a motor controller, wherein the motor controller realizes the automatic adjustment of the power of the driving motor of the electric bicycle according to a control method for automatically adjusting the power of the electric assisting power in combination with the mode switcher. By monitoring the wind speed and the gradient, the magnitude of the electric assisting power can be intelligently adjusted, so that a driver can always ride with the most comfortable physical strength under different real-time road conditions such as uphill, downhill, downwind and upwind, specific electric driving force calculation formulas in various modes are given, and the development and debugging difficulty and period are reduced. The control is more accurate, and the driving experience is better.
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Description

Technical Field

[0001] The invention relates to the technical field of electric bicycle control, and in particular to a control method for automatic adjustment of electric assist power and an electric bicycle. Background Art

[0002] With the improvement of environmental awareness and the increase of urban traffic pressure, electric bicycles have been favored by more and more people as a convenient and environmentally friendly way of travel. The traditional control method of electric bicycles is mainly to actively adjust the power-assistance mode of the electric bicycle by the driver, and the motor has a fixed output power to meet different riding power-assistance needs. The existing method has defects. The strength of the motor power-assistance cannot be intelligently adjusted according to the real-time road conditions and the physical condition of the driver. When the actual road conditions (wind speed, slope) change, the pedal driving force of the person changes greatly, which makes the experience not comfortable and intelligent enough. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a control method for automatic adjustment of electric power steering power, which has more precise control and better driving experience.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A control method for automatic adjustment of electric power assist power, characterized in that: a slope sensor detects the slope θ of the vehicle, a wind speed sensor detects the current wind speed V 1 , the vehicle speed sensor detects the current vehicle speed V,

[0006] According to the power output mode of the electric power-assisted bicycle, the total driving power is equal to the driver's pedal driving power plus the driving power of the driving motor, that is, P 总 =P 人 +P 电 ,

[0007] The vehicle's functional modes are divided into sports mode, fitness mode, and energy-saving mode.

[0008] Sport Mode P 人 =P 总 ×50%;

[0009] Fitness Mode P 人 =P 总 ×80%;

[0010] Energy saving mode P 人 =P 总 ×20%;

[0011] Ptotal = P f +P w +P i ;

[0012] P f =m*g*V;

[0013] P w理论 =C d .AV 3 / 21.15;

[0014] P w道路 =Cd.AV 1 3 / 21.15;

[0015] P i = mgsinθ.V;

[0016] P 电 =P 总 -P 人 ;

[0017] Combined with the above formula, the calculation method of the initial value of human power in each mode is:

[0018] Sport mode: P 人 =(mgV+Cd.AV 3 / 21.15).50%;

[0019] Fitness Mode: P 人 =(mgV+Cd.AV 3 / 21.15).80%;

[0020] Energy saving mode: P 人 =(mgV+Cd.AV 3 / 21.15).20%;

[0021] In the formula: P 人 : Driver's pedal driving power; P 总 : The total driving power to maintain the vehicle; P f : Tire rolling resistance power; P w理论 : air resistance power under no wind conditions; P w道路 : air resistance power under actual road conditions; P i : ramp resistance power, 0 on flat roads; m: vehicle mass; g: gravitational acceleration, 10m / S 2 ; V: vehicle speed; V 1 : The wind speed measured by the wind speed sensor when driving under actual road conditions; C d : air resistance coefficient, the value is 0.64; A: windward area of ​​the vehicle when driving, measured by the vehicle; θ: road slope, measured by the slope sensor;

[0022] When driving on an actual road, there is a slope θ on the road and a wind speed in the environment. The wind speed measured by the wind speed sensor is the sum of the component of the ambient wind speed in the driving direction and the relative wind speed caused by the vehicle itself in a windless environment. The wind speed measured by the wind speed sensor is taken as V 1 In summary, the driving force of the drive motor in each mode, that is, the calculation method of the electric assist driving power is:

[0023] Sport mode: P 电 =P f +P w道路 +P i -P 人

[0024] =mgV+C d .AV 1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).50%;

[0025] Fitness Mode: P 电 =P f +P w道路 +P i -P 人

[0026] =mgV+C d .AV 1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).80%;

[0027] Energy saving mode: P 电 =P f +P w道路 +P i -P 人

[0028] =mgV+C d .AV 1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).20%.

[0029] It also aims to provide an electric bicycle with automatic adjustment of electric power assist power, which is characterized by comprising a bicycle body, a battery, a mode switch, a wind speed sensor, a slope sensor, a pedal speed sensor, a rear wheel speed sensor, an inorganic automatic transmission, a drive motor and a motor controller, wherein the motor controller realizes automatic adjustment of the drive motor power of the electric bicycle according to the control method of automatic adjustment of electric power assist power and in combination with the mode switch.

[0030] The beneficial effects of the present invention include: by monitoring the wind speed and slope, the size of the electric power assist can be intelligently adjusted, so that the driver can always ride with the most comfortable physical strength in different real-time road conditions, such as uphill, downhill, with wind, against wind, etc., and a specific electric driving force calculation formula is given in each mode, reducing the difficulty and cycle of development and debugging. The control is more precise and the driving experience is better. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic structural diagram of an electric bicycle of the present invention. DETAILED DESCRIPTION

[0032] The present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0033] A kind of Figure 1 The structure of the electric bicycle shown includes a bicycle body, a battery, a mode switch, a wind speed sensor, a slope sensor, a pedal speed sensor, a rear wheel speed sensor, an inorganic automatic transmission, a drive motor and a motor controller.

[0034] The drive motor is used as a power actuator. The drive controller is used to collect signals, calculate, and control the drive motor according to the appropriate power P. 电 Output. The slope sensor detects the slope θ of the vehicle. The wind speed sensor detects the current wind speed V 1 .

[0035] The driver can adjust the vehicle mode to limit the initial distribution of manpower (driver's pedal driving power) and electric power (drive motor driving power). 总 =Driver's pedal driving power P 人 +Drive motor driving power P 电 The vehicle modes are divided into sports mode, fitness mode, and energy-saving mode. The initial distribution ratios of total driving force, manpower, and electricity in each mode under laboratory conditions with no wind and flat roads are as follows:

[0036] Sport mode: P 人 =P 总 .50%;

[0037] Fitness Mode: P 人 =P 总.80%;

[0038] Energy saving mode: P 人 =P 总 .20%;

[0039] P 总 =P f +P w +P i ;

[0040] P f = mgV;

[0041] P w理论 =C d .A.V3 / 21.15;

[0042] P w道路 =C d .AV 1 3 / 21.15;

[0043] P i = mgsinθ.V;

[0044] P 电 =P 总 -P 人 ;

[0045] Combined with the above formula, the calculation method of the initial value of human power in each mode is:

[0046] Sport mode: P 人 =(mgV+C d .A.V3 / 21.15).50%;

[0047] Fitness Mode: P 人 =(mgV+C d .A.V3 / 21.15).80%;

[0048] Energy saving mode: P 人 =(mgV+C d .A.V3 / 21.15).20%;

[0049] In the formula:

[0050] P 人 : Driver's pedal driving power, manpower;

[0051] P 总 : The total driving power to maintain the vehicle's movement;

[0052] P f : Tire rolling resistance power;

[0053] Pw理论 : air resistance power under no wind conditions;

[0054] P w道路 : Air resistance power under actual road conditions;

[0055] P i : Ramp resistance power, which is 0 on a flat road;

[0056] m: vehicle mass;

[0057] g: gravitational acceleration, taken as 10m / S2;

[0058] V: vehicle speed;

[0059] V 1 : The wind speed measured by the wind speed sensor when driving under actual road conditions;

[0060] C d : Air resistance coefficient, value is 0.64;

[0061] A: The frontal area of ​​the vehicle when it is driving, obtained by actual vehicle measurement;

[0062] θ: Road slope, measured by the slope sensor.

[0063] When driving on an actual road, there is a slope θ on the road and a wind speed in the environment. The wind speed measured by the wind speed sensor is the sum of the component of the ambient wind speed in the driving direction and the relative wind speed caused by the vehicle itself in a windless environment. The wind speed measured by the wind speed sensor is taken as V 1 In summary, the driving force of the drive motor in each mode, that is, the calculation method of the electric assist driving power is:

[0064] Sport mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .AV 1 3 / 21.15+mgsinθ.V-(mgV+C d .A.V3 / 21.15).50%;

[0065] Fitness Mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .A.V13 / 21.15+mgsinθ.V-(mgV+C d .A.V3 / 21.15).80%;

[0066] Energy saving mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .A.V13 / 21.15+mgsinθ.V-(mgV+C d .A.V3 / 21.15).20%.

[0067] The technical solutions provided by the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the embodiments of the present invention. The description of the above embodiments is only applicable to help understand the principles of the embodiments of the present invention. At the same time, for those skilled in the art, according to the embodiments of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A control method for automatic adjustment of electric power, characterized in that: The slope sensor detects the slope θ of the vehicle, the wind speed sensor detects the current wind speed V1, and the vehicle speed sensor detects the current vehicle speed V. According to the power output mode of the electric power-assisted bicycle, the total driving power is equal to the driver's pedal driving power plus the driving power of the driving motor, that is, P 总 =P 人 +P 电 , The vehicle's functional modes are divided into sports mode, fitness mode, and energy-saving mode. Sport Mode P 人 =P 总 ×50%; Fitness Mode P 人 =P 总 ×80%; Energy saving mode P 人 =P 总 ×20%; Ptotal = P f +P w +P i ; P f =m*g*V; P w理论 =C d .A.V 3 / 21.15; P w道路 =Cd.A.V1 3 / 21.15; P i =m.g.sinθ.V; P 电 =P 总 -P 人 ; Combined with the above formula, the calculation method of the initial value of human power in each mode is: Sport mode: P 人 =(mgV+Cd.AV 3 / 21.15).50%; Fitness Mode: P 人 =(mgV+Cd.AV 3 / 21.15).80%; Energy saving mode: P 人 =(mgV+Cd.AV 3 / 21.15).20%; In the formula: P 人 : Driver's pedal driving power; P 总 : The total driving power to maintain the vehicle's movement; P f : Tire rolling resistance power; P w理论 : air resistance power under no wind conditions; P w道路 : air resistance power under actual road conditions; P i : Ramp resistance power, which is 0 on a flat road; m: vehicle mass; g: gravitational acceleration, 10m / S 2 ; V: vehicle speed; V1: wind speed measured by the wind speed sensor when driving under actual road conditions; C d : Air resistance coefficient, the value is 0.64; A: The windward area of ​​the vehicle when it is driving, obtained by actual vehicle measurement; θ: road slope, measured by the slope sensor; When driving on an actual road, there is a slope θ on the road and a wind speed in the environment. The wind speed measured by the wind speed sensor is the sum of the component of the ambient wind speed in the driving direction and the relative wind speed caused by the vehicle's own driving in a windless environment. The wind speed measured by the wind speed sensor is taken as V1. In summary, the driving force of the drive motor in each mode, that is, the calculation method of the electric assist driving power is: Sport mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .A.V1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).50%; Fitness Mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .A.V1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).80%; Energy saving mode: P 电 =P f +P w道路 +P i -P 人 =mgV+C d .A.V1 3 / 21.15+mgsinθ.V-(mgV+C d .AV 3 / 21.15).20%.

2. An electric bicycle with automatic power adjustment, characterized in that: The electric bicycle comprises a bicycle body, a battery, a mode switch, a wind speed sensor, a slope sensor, a pedal speed sensor, a rear wheel speed sensor, an inorganic automatic transmission, a drive motor and a motor controller, wherein the motor controller realizes automatic adjustment of the drive motor power of the electric bicycle in combination with the mode switch according to the control method for automatic adjustment of the electric power assist power according to claim 1.

Citation Information

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