JP2011178341A - Power-assist control device, power-assist control method and power-assisted bicycle - Google Patents

Power-assist control device, power-assist control method and power-assisted bicycle Download PDF

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JP2011178341A
JP2011178341A JP2010046785A JP2010046785A JP2011178341A JP 2011178341 A JP2011178341 A JP 2011178341A JP 2010046785 A JP2010046785 A JP 2010046785A JP 2010046785 A JP2010046785 A JP 2010046785A JP 2011178341 A JP2011178341 A JP 2011178341A
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assist
driver
information
secondary battery
physical strength
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JP2010046785A
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JP5570248B2 (en
Inventor
Atsushi Mamiya
Ryota Okamura
Tetsushi Sato
Koichi Takahashi
哲士 佐藤
了太 岡村
篤 間宮
浩一 高橋
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Tokyo R & D Co Ltd
株式会社東京アールアンドデー
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Abstract

<P>PROBLEM TO BE SOLVED: To enable a cyclist to optimally control an assist quantity of a power-assisted bicycle, without impairing characteristics such as a sports characteristic and a training characteristic possessed by a conventional bicycle. <P>SOLUTION: This power-assist control device includes a secondary battery unit 2, a motor unit 6 and a navigation controller 3, and generates the assist ratio for assisting the cyclist based on travel route information and assist information from the navigation controller 3 by monitoring a secondary battery state and an assist motor state. A power-assist rate and an assist place are determined based on the assist ratio, and an assist quantity is controlled by always feeding back monitoring information in traveling. As a result of it, secondary battery consumption is optimized, and a cruising distance can be lengthened, and convenience of the power-assisted bicycle can be largely improved. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an electrically assisted bicycle, an assist control device and a control method thereof, and more particularly, an electrically assisted bicycle that assists a driver in consideration of terrain information, weather information, a driver's exercise ability, and the like, and an assist control device thereof. It relates to a control method.

Conventional electric assist bicycles generally use a motor that uses the power of a rechargeable secondary battery as a drive source to assist the driver's burden with respect to the pedaling force.
In this conventional electric assist bicycle, there is a problem that the range of use is limited because the capacity of the secondary battery serving as a drive source is limited. In order to solve this problem, the driver's unique information is used. Thus, a method for optimizing the consumption of the secondary battery and extending the travel distance by applying an appropriate assist force has been proposed (see, for example, Patent Document 1). In the electrically assisted bicycle described in Patent Document 1, an appropriate assisting force is given to the driver by inputting the driver's unique information before boarding with a hand controller placed at the driver's hand. For example, a woman who needs assist power, a person who has a heavy weight, and an elderly person are given a proper assist force (assist), and an unnecessary elderly person is made to have a longer travel distance than the assist force.

  In addition, navigation devices using GPS (Global Positioning System) are used in automobiles, mobile phones, etc., and it is common practice to calculate the time and distance to the destination by detecting the current position and convey it to the driver as visual information. It has been broken. Then, using this navigation function for a power-assisted bicycle, a plurality of routes from the current position to the destination are detected, and a route is selected according to the capacity of the secondary battery while observing changes in the height of these routes. The thing is proposed (refer patent document 2).

JP 2007-145277 A JP 2005-127873 A

In general, the electric assist bicycle is restricted by the capacity of the secondary battery, but an assist ratio can be set for each driver, so that unnecessary assist can be reduced depending on the person. As a result, the consumption amount of the secondary battery can be optimized, so that the assist working distance can be increased.
In addition, as shown in Patent Document 2, it is possible to select a route capable of minimizing the consumption of the rechargeable secondary battery by linking the navigation device and the electric assist, thereby expanding the traveling range. There is also an advantage of being able to.

  However, the following problems have been pointed out in the conventional electrically assisted bicycle. For example, the technique described in Patent Document 1 inputs specific information based on the driver's age, sex, weight, etc. as a parameter, and controls an appropriate assist ratio depending on the specific information. Relying only on such unique information has a problem that even if the travel range can be expanded, the limit cannot be determined only by displaying the remaining battery level indicator.

  Moreover, in the electrically assisted bicycle using the navigation device described in Patent Document 2, since an appropriate route according to the capacity of the secondary battery is selected, there is a problem that it becomes difficult to select a route that the user wants to pass. In addition, if the elements for assist control are limited to map information such as terrain height information, the assist data is inaccurate, for example, data such as load fluctuations due to changes in weather (wind strength, etc.) is required. become. Furthermore, if the driver's information is inaccurate, there is a problem that the difference in the amount of secondary battery consumed by a person increases.

  The object of the present invention is to solve the problem of the electrically assisted bicycle as described in Patent Documents 1 and 2 above, and is appropriate for each driver by combining the driver's ability (unique information) and terrain. It is an object to provide an electric assist control device, a control method thereof, and an electric assist bicycle that enable easy assist. In other words, the present invention makes use of specific information such as the physical strength of the driver, and then determines the location where the load factor is high on the driver from the terrain / weather information, and the load factor is high. In this case, the assist control is performed.

In order to solve the above problems and achieve the object of the present invention, an electric assist control device of the present invention includes a secondary battery unit including a secondary battery, a battery capacity meter and a battery temperature sensor, an assist motor, and the motor. A motor unit including a motor controller for driving control, and a navigation controller having a database for recording position information from GPS, topographic information from map information, posture of vehicle body, weather information, and driver's physical strength value. The altitude (altitude) is to be converted from coordinate map data that is WDS84 (World Geodetic System).
Further, the state of the secondary battery and the state of the assisting motor are monitored, and the assist motor is used with the assist ratio for assisting the driver as an execution command value based on the travel route information and assist information from the navigation controller. A vehicle controller to be output to the unit, terrain information from the position information and map information obtained from the GPS, a remaining amount of the secondary battery, a navigation display unit for displaying a travel route and an assist location from the navigation controller, I have.

  The electric assist control method of the present invention is a ratio of assisting the driver based on the step of determining the physical strength value of the driver to board before starting the boarding, the physical strength value of the driver and the remaining amount of the secondary battery. A step of determining an assist ratio, a step of determining a travel route from position information obtained from GPS, terrain information from map information and the physical strength value of the driver, terrain information obtained from GPS, and a physical strength value of the driver Including a step of predicting where to assist on the travel route based on the remaining amount of the secondary battery. And after driving | running | working, while updating a driving | running | working position by GPS, while monitoring a driver | operator's physical strength, a driver | operator's rowing force is detected during driving | running | working. Furthermore, the ratio of the assist route on the travel route based on the location information obtained from the GPS and the map information, the physical strength value of the driver, the remaining amount of the secondary battery, and the place where the assist is performed while traveling. You can fix it.

  In addition, the electric assist bicycle of the present invention includes a handle having a navigation display unit attached at the center and a measurement electrode at the handle, a secondary battery unit including a secondary battery, a battery capacity meter, and a battery temperature sensor, Navigation unit including a motor unit including an assist motor and a motor controller that controls driving of the motor, and a database that records position information from GPS, terrain information from map information, body posture, weather information, and driver's physical strength A controller and a vehicle controller that outputs an assist ratio for assisting the driver to the secondary battery unit as an execution command value based on the driving route information and the assist information from the navigation controller are integrated. It is an electric assist bicycle that can be attached.

  The navigation display unit displays the location information obtained from the GPS and the terrain information from the map information, the remaining amount of the secondary battery, the travel route and the assist location from the navigation controller. While traveling, the driver's physical strength is monitored by a measurement electrode provided on the handle portion of the steering wheel while updating the traveling position by GPS, and the driver's rowing force is detected by a torque sensor. The assist ratio for assisting on the travel route and the place for assisting are corrected based on the terrain information from the position information and map information, the driver's physical strength value, and the remaining amount of the secondary battery.

  In order to set the physical strength value of the driver, a database created based on the data of the average athletic ability by age disclosed by the Ministry of Health, Labor and Welfare is used. The above-described method for setting the physical strength value of the driver uses a body fat measurement method in which bioimpedance is measured by a measurement electrode on the handle portion of the handle and the muscle tissue amount is calculated from the bioimpedance, height, weight, and the like. In addition to this, a method of defaulting the rowing force on the flat ground and the calculated value from the database is used. In order to measure the amount of muscle tissue more accurately, it is desirable to measure the bioimpedance of the lower limb (leg), but this is also difficult in practice.

According to the electric assist control device and the method of the present invention, the driver's physical strength is determined, and the driver's physical strength is difficult to assist only in a severe place. Then, on a flat road or a gentle uphill that is determined not to require assist based on the determination of the physical strength value of the driver, the vehicle can be driven only by the driver's rowing force (exercise ability by leg strength or physical strength).
In addition, when setting the assist operation location, it is performed using map information, and weather information (wind direction, wind force), altitude (altitude), slope (gradient) is beautiful, gyro sensor, acceleration sensor provided in the vehicle In addition, it is possible to update and reset the assist location to the destination while adding a load detection value based on sampling data such as an atmospheric pressure sensor and feedback based on a driver's fatigue degree determined by a heart rate or the like.

  According to the present invention, the assist ratio of the electrically assisted bicycle can be optimally controlled so that the driver does not impair the characteristics such as sportiness and training that the conventional bicycle has, so only the physical strength of the driver can be achieved. It is possible to clarify the traveling portion and the auxiliary traveling region by the assist function. As a result, the secondary battery consumption can be optimized, the cruising distance can be extended, and the convenience of the electrically assisted bicycle can be greatly improved.

  In addition to the map information such as the difference in terrain before the start of driving, the assist control prediction is performed based on a plurality of factors including weather information and further information specific to the driver (age, sex, weight, etc.). In addition, the relationship between the remaining battery information and the cruising range that can be assisted can be determined with high accuracy. In addition, assist information during driving can be improved by feeding back various information such as driver information and weather information from in-vehicle sensors (wind speed, atmospheric pressure, acceleration, gyro sensor, etc.) in the middle of the route the driver is moving. Can be higher.

It is a conceptual diagram (FIG. 1A) of the electrically assisted bicycle to which the electrically assisted device of the present invention is applied, and a conceptual diagram (FIG. 1B) of the handle portion of the electrically assisted bicycle. It is the schematic of the car navigation unit attached to the electrically assisted bicycle of this invention. It is a block block diagram which shows the embodiment of this invention. It is the figure which showed the relationship between the body fat rate and the muscle mass which are related to the physical strength value used for the embodiment of this invention as a matrix. It is a flowchart for demonstrating the assist control process in the embodiment of this invention.

  Hereinafter, an exemplary embodiment of the present invention (hereinafter referred to as “this example”) will be described in detail with reference to FIGS.

FIG. 1A is a conceptual diagram of an electric assist bicycle to which the electric assist device of this example is applied. A vehicle controller 1 and a secondary battery unit 2 for electrically assisting are attached to a frame portion arranged at the lower part of the saddle. A motor unit 6 (not shown) (see FIG. 2) is provided near the lower pedal of the secondary battery unit 2. A navigation controller 3 is provided on one side of the casing of the secondary battery unit 2, and a navigation unit 4 that performs navigation display as shown in FIG. 1A is provided above the handle 5. Hereinafter, the navigation unit 4 may be referred to as a navigation display unit 4.
FIG. 1B is an enlarged view of the handle 5 portion of the electrically assisted bicycle of FIG. 1A. The navigation unit 4 is disposed near the center of the handle 5, and measurement electrodes 5a and 5b described later are provided on the handle.

FIG. 2 is a diagram showing specific display contents displayed on the navigation display unit 4 of this example.
As shown in FIG. 2, in the navigation display unit 4, in addition to position information from a GPS (not shown) and terrain information from map information, vehicle information such as a travel route and a remaining battery level is visualized and displayed. . That is, the terrain information and the travel route are displayed on the map display unit 4a, and the current speed of the electrically assisted bicycle is displayed on the speed display unit 4b. Further, the remaining amount of secondary battery stored in the secondary battery unit 2 is displayed on the secondary battery remaining amount display portion 4c. The navigation display unit 4 is shown separately from the vehicle body assist device including the secondary battery unit 2 and various controllers. However, it is also possible to arrange the navigation display unit 4 without being separated.

  FIG. 3 is a block diagram showing the connection relationship between the units of the electrically assisted bicycle of this example shown in FIG. 1A. The vehicle controller 1 serves as a comprehensive controller of the mechanism unit that performs execution management of the assist mechanism unit of the electrically assisted bicycle of this example. The vehicle controller 1 monitors the state of the secondary battery and the state of the assist motor, and drives and controls the motor 63 of the motor unit 6 using the assist ratio from the navigation controller 3 as an execution command value, as will be described later. .

The secondary battery unit 2 shown in FIG. 3 includes a temperature sensor 21 for monitoring the heat generation state in the secondary battery, and a battery capacity meter 21 for detecting the remaining battery level of the secondary battery.
The navigation controller 3 has a function of calculating an appropriate assist ratio and predicting an assist location. The navigation controller 3 includes a CPU 31 (Central Processing Unit), which is used for map information, various vehicle sensor information, weather information, and determination values of motor ability such as a driver's rowing force. Based on this, an optimum assist ratio is calculated.

  The navigation controller 3 has an acceleration sensor 32, and the acceleration sensor 32 detects the acceleration of the vehicle body. Then, the acceleration detected here is integrated to determine the speed, and the speed is further integrated to determine the moving distance. The acceleration sensor 32 also detects the amount of displacement of the gravitational acceleration, and the inclination of the vehicle body is detected from this amount of displacement.

  The navigation controller 3 is provided with a gyro sensor 33. The gyro sensor 33 detects the angular velocity (bicycle tilt) and integrates it to calculate the azimuth angle. Furthermore, the navigation controller 3 is provided with an atmospheric pressure sensor 34, an outside air temperature sensor 35, and a wind speed sensor 36. The atmospheric pressure sensor 34 literally measures the external atmospheric pressure, but since this atmospheric pressure has a large error due to temperature, it is corrected by the temperature of the outdoor air measured by the outdoor air temperature sensor 35. This corrected atmospheric pressure is used to correct the height difference of the vehicle body position. The wind speed sensor 36 measures the wind speed during traveling, and corrects the resistance due to the wind from this measured value.

  The navigation controller 3 is provided with a flash memory 37. The flash memory 37 stores various information including the above-described map information and vehicle state information, and also stores driver information. . Here, the driver information includes a driver's heart rate, body fat percentage, driver rowing power, and the like. The driver's heart rate is used to correct the driver's physical load, and the body fat percentage is used to estimate the driver's muscle tissue volume and to predict the physical strength. Further, the driver's rowing force is measured by the torque sensor 8, and the driver's physical strength value is detected from this value, and the driver's fatigue state is known. That is, it can be said that the flash memory 37 plays a role as a physical strength determination database for storing the physical strength of the driver.

FIG. 4 is a diagram showing the relationship between the body fat percentage and the muscle mass as a matrix. In FIG. 4, it is divided into nine blocks according to muscle mass and body fat percentage. Types with less muscle mass are classified as A1, A2, and A3 in the order from obesity to thinning, and types with normal muscle mass are classified as B1, B2, and B3 in the order from obesity to thinning. And the type with much muscle mass was classified into C1, C2, and C3 in the order from obesity to thinning.
Depending on which position in the matrix shown in FIG. 4 the driver enters, the assist ratio as the basis is determined.

  The navigation unit (display unit) 4 shown in FIG. 3 includes a display unit 41, a GPS 42, and a memory card 43. As shown in FIG. 2, the display unit 41 is a part that visualizes and displays terrain information, a travel route, and vehicle information (such as a remaining battery level). Needless to say, the GPS 42 is a device that receives position information through a satellite. In the memory card 43, driver information and route information are stored as external information.

  In addition, the motor unit 6 shown in FIG. 3 detects a temperature of the motor 63 in order to prevent a breakage or failure due to heat generation of the motor, and a motor controller 61 for controlling the assist ratio by converting a command device for driving the motor 63. A motor temperature sensor 62 is provided. Although not shown here, a vehicle speed sensor that detects a vehicle speed pulse may be provided in order to see whether the bicycle is running or stopped.

  Next, the operation of the electric assist system of this example will be described based on the flowchart of FIG. As a stage before the start of the assist control process for the electric assist bicycle, first, the physical strength value of the driver who drives the electric assist bicycle is determined (step S1). The determination of the physical fitness value is performed by comparing with the driver data stored in advance in the physical fitness determination database (flash memory) 37, that is, personal information such as the driver's age, weight, height, and body fat percentage. . These data are measured in advance and stored in the physical strength determination database (flash memory) 37 prior to assist control of the electrically assisted bicycle. The physical strength value may be determined by manually inputting the driver's body information (body tissue, height, weight, etc.) manually by the driver.

Subsequently, an assist ratio for the driver is determined based on the driver's physical strength value data input in step S1 (step S2). In this step S2, assistance is made using assist ratio mapping data 100 prepared in advance from the relationship between the stress survey / statistical data of the national movement released by the Ministry of Education, Culture, Sports, Science and Technology and basic information such as age, sex, and weight. The ratio may be determined.
Further, the assist ratio is determined in consideration of pedal rowing force information obtained from the torque sensor 8 of FIG. 3 and the remaining amount of the secondary battery unit. Furthermore, by measuring the driver's body fat percentage and calculating exercise capacity (see FIG. 4), and determining the assist ratio based on this exercise capacity, more accurate assistance is realized. The measurement of body fat percentage may be data from a commercially available body fat scale, but the measurement electrodes 5a and 5b (see FIG. 1B) provided on the handle portion (hand grip) of the handle of the electric assist bicycle shown in FIG. You may measure using. That is, by sending a minute alternating voltage from the in-vehicle secondary battery unit 2 to the measurement electrodes 5a and 5b, the bioimpedance of the upper limbs of the driver can be measured. Desired.

  Next, when the assist ratio to the driver is determined, the destination and route are input from the navigation unit 4 (step S3). When setting the travel route, the travel route is determined so as to optimize the operation of the assist function from the height difference information on the travel route. After the travel route is determined, the weather forecast information of the travel route area is acquired from the Internet, and the set route information is corrected by adding elements such as wind direction and wind force to the set travel route information. It is also possible.

  Subsequently, the arrival to the destination is predicted, and the travel route information is displayed on the display unit 41 of the navigation unit 4 (step S4). At this time, the assist operation location is predicted from the map information, weather forecast data, battery capacity, and the assist ratio obtained in step S2 recorded in the flash memory 37 of the navigation controller 3, and the location is also displayed at the same time. (Step S5). Then, the assist system is activated (step S6). If it is determined in step S3 that there is no particular destination, steps S4 and S5 are skipped and the process proceeds to step S6.

  Here, the place to assist in the travel route is determined based on the physical strength value unique to the driver. That is, the place where the assist is performed can be limited to a place that cannot be processed even if the self-exercise ability is 100% based on the physical strength value of the driver and the running load condition (terrain, weather, fatigue level). Of course, in step S2, since the assist ratio can be individually determined by a person, assist assistance can be performed at the determined assist ratio (this is referred to as “reference specific assist ratio”). For example, a man who is young and has a large amount of muscle (endurance) has physical strength, so the assist ratio can be reduced. On the other hand, the reference specific assist ratio is large for the elderly and women.

  Through the above processing, the driving of the electrically assisted bicycle is started (step S7). However, during the driving (step S8), in principle, the assist is not performed until the load set from the physical strength value is reached. . Then, the assist is performed only at the preset assist location with the assist ratio predicted and determined from the physical strength value.

Further, the next process is updated during traveling. First, the GPS position information is updated (step S10). And a driver | operator's physical strength state is monitored (step S11). This step S11 can be performed, for example, by monitoring the running heart rate and feeding it back to the assisting data profile as a parameter of the health condition of the driver.
The assist data profile is created and updated in the flash memory 37. The flash memory 37 is a so-called SSD (Solid State Disk), that is, a hard disk, and processing of each information is performed by a program stored in the flash memory 37.

  At the same time, the driver's rowing force is detected by the torque sensor 8 of FIG. 3 (step S12), and further, the acceleration sensor 32, the gyro sensor 33, the atmospheric pressure sensor 34, the outside air temperature sensor 35, and the wind sensor 36 of the in-vehicle navigation controller 3 are detected. Then, map information and weather information are detected, and the assist ratio is corrected or updated based on the map information and weather information (step S13). Further, the map information, the travel route, the remaining amount of the secondary battery, etc. are always displayed on the display unit 41 of the navigation unit (step S14).

The information updated in steps S10 to S13 described above is fed back to the assist operation location in step S5, and the assist amount and the prediction setting for the assist operation location are updated.
As described above, during the travel in step S8, the processing in steps S10 to S14 is performed in real time, and as a result, optimal assistance is performed according to the travel route of the bicycle and the physical strength value of the driver. However, the user can arrive at the destination (step S9). In addition, since the assist is performed so that the battery capacity is always left even when arriving at the destination, the assist function is not interrupted.

  The electric assist device and the electric assist method of the present example have been described above based on the drawings. However, the present invention is not limited to the above-described exemplary embodiments, and departs from the gist of the present invention described in the claims. It goes without saying that various modifications and application examples are included unless otherwise specified.

DESCRIPTION OF SYMBOLS 1 ... Vehicle controller, 2 ... Secondary battery unit, 3 ... Navigation controller, 4 ... Navigation unit (display part), 6 ... Motor unit, 7 ... Key switch, 8 ... Torque sensors

Claims (3)

  1. A secondary battery unit including a secondary battery, a battery capacity meter and a battery temperature sensor;
    A navigation unit having a motor unit including an assist motor and a motor controller that drives and controls the motor, and a database that records position information from GPS, terrain information from map information, body posture, weather information, and driver's physical strength A controller,
    The state of the secondary battery and the state of the assist motor are monitored, and the motor is used with an assist ratio for performing driver assistance as an execution command value based on travel route information and assist information from the navigation controller. A vehicle controller that outputs to the unit;
    A navigation display unit for displaying the terrain information obtained from the position information and map information obtained from GPS, the remaining amount of the secondary battery, a travel route and an assist location from the navigation controller,
    With
    While driving, the driver's physical strength is monitored while the driving position is updated by GPS, the driver's rowing force is detected by a torque sensor, and the terrain information obtained from the position information and map information obtained from the GPS And an electric assist control device that corrects a ratio of assisting on a travel route and a place for assisting based on a physical strength value of the driver and a remaining amount of the secondary battery.
  2. Determining the physical strength value of the driver to board before boarding;
    Determining an assist ratio, which is a ratio of assisting the driver, from the physical strength value of the driver and the remaining amount of the secondary battery;
    Determining a travel route from position information obtained from GPS, terrain information obtained from map information, weather information and physical strength value of the driver;
    Predicting the location on the travel route based on the terrain information obtained from the location information and map information obtained from the GPS, the driver's physical strength value, the remaining amount of the secondary battery,
    After starting traveling, the step of monitoring the physical strength of the driver while updating the traveling position by GPS;
    Detecting the driver's rowing force while driving;
    While traveling, the location information obtained from the GPS, the terrain information obtained from the map information, updated weather information, the driver's physical strength value, and the remaining amount of the secondary battery on the travel route Modifying the assist ratio and where to assist;
    An electric assist control method including:
  3. A handle with a navigation display attached to the center and a measurement electrode on the handle;
    A secondary battery unit including a secondary battery, a battery capacity meter and a battery temperature sensor; a motor unit including an assist motor and a motor controller for driving and controlling the motor; position information from GPS; terrain information from map information; Assist ratio for assisting the driver based on the navigation controller including a database that records the posture of the vehicle body, weather information, and the physical strength value of the driver, and the driving route information from the navigation controller and the assist information A vehicle controller that outputs to the motor unit as an execution command value, and is an electrically assisted bicycle that is mounted integrally.
    The navigation display unit displays position information obtained from GPS, terrain information obtained from map information, a remaining amount of secondary battery, and a travel route and an assist location from the navigation controller,
    While driving, the driver's physical strength is monitored by a measurement electrode provided on the handle handle part while updating the topographic information, weather information, and the GPS driving position, and the driver's rowing force is detected by a torque sensor. And the ratio for assisting on the travel route and the location for assisting based on the topographic information obtained from the GPS and the terrain information obtained from the map information, the driver's physical fitness value, and the remaining amount of the secondary battery Electric assist bicycle characterized by correcting
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JP2014069690A (en) * 2012-09-28 2014-04-21 Honda Motor Co Ltd Assist power control device for power-assisted bicycle
JP2014098617A (en) * 2012-11-14 2014-05-29 Navitime Japan Co Ltd Information processing system, information processing device, server, information processing method and information processing program, and bicycle system with power assistant function
CN103963910A (en) * 2013-01-25 2014-08-06 姚立和 Electromechanical Control System of Electric Bicycle Integrating Smart Mobile Device and Cloud Services, and application thereof
WO2015014782A1 (en) * 2013-07-31 2015-02-05 Compagnie Generale Des Etablissements Michelin Device and method for regulating the assistance power of an electric power-assisted bicycle
WO2016022553A1 (en) * 2014-08-05 2016-02-11 Fallbrook Intellectual Property Company Llc Components, systems and methods of bicycle-based network connectivity and methods for controlling a bicycle having network connectivity
CN105564581A (en) * 2014-10-31 2016-05-11 株式会社岛野 Bicycle control apparatus
JP2016147669A (en) * 2016-04-12 2016-08-18 株式会社シマノ Control device for bicycle
WO2018070235A1 (en) * 2016-10-11 2018-04-19 オムロン株式会社 Control system, server, control method, and program
EP3418175A1 (en) * 2017-06-20 2018-12-26 Robert Bosch GmbH Control device and control method for a drive motor of a bicycle

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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014069690A (en) * 2012-09-28 2014-04-21 Honda Motor Co Ltd Assist power control device for power-assisted bicycle
JP2014098617A (en) * 2012-11-14 2014-05-29 Navitime Japan Co Ltd Information processing system, information processing device, server, information processing method and information processing program, and bicycle system with power assistant function
EP2801495A3 (en) * 2013-01-25 2015-11-04 Yao, Li-ho Electromechanical control system of electric bicycle integrating smart mobile device and cloud services
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