WO2016199013A1 - Système de commande d'un vélo hybride - Google Patents

Système de commande d'un vélo hybride Download PDF

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Publication number
WO2016199013A1
WO2016199013A1 PCT/IB2016/053327 IB2016053327W WO2016199013A1 WO 2016199013 A1 WO2016199013 A1 WO 2016199013A1 IB 2016053327 W IB2016053327 W IB 2016053327W WO 2016199013 A1 WO2016199013 A1 WO 2016199013A1
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WO
WIPO (PCT)
Prior art keywords
processing unit
data processing
user
value
hybrid bicycle
Prior art date
Application number
PCT/IB2016/053327
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English (en)
Inventor
Silvano Zanuso
Massimo Massarini
Original Assignee
Technogym S.P.A.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Technogym S.P.A. filed Critical Technogym S.P.A.
Publication of WO2016199013A1 publication Critical patent/WO2016199013A1/fr

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/40—Rider propelled cycles with auxiliary electric motor
    • B62M6/45—Control or actuating devices therefor
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/40—Rider propelled cycles with auxiliary electric motor
    • B62M6/45—Control or actuating devices therefor
    • B62M6/50—Control or actuating devices therefor characterised by detectors or sensors, or arrangement thereof

Definitions

  • the present invention relates to the field of fitness, and in particular to a system for controlling a hybrid bicycle.
  • a hybrid bicycle is a pedal bicycle provided with an auxiliary motor, typically an electric motor, which may be operated by the user or automatically in order to assist and help the user during pedaling, if required.
  • an auxiliary motor typically an electric motor
  • a hybrid bicycle typically comprises an electronic control unit connected to the electric motor and capable of controlling the operation of such an electric motor based on an electric signal received from a sensor installed on the pedals of the bicycle, for example a pressure or rotation sensor, adapted to detect the interaction of the user with the pedals.
  • a sensor installed on the pedals of the bicycle for example a pressure or rotation sensor, adapted to detect the interaction of the user with the pedals.
  • Such a hybrid bicycle has the drawback of not being very accurate and reliable because erroneous detections by the sensor could cause operations of the electric motor also when not required, with the risk of inducing problems for the user and the possibility of prematurely discharging the battery of the electric motor. Moreover, such a hybrid bicycle is absolutely incapable of meeting the multiple needs required today by a user who also uses the hybrid bicycle to perform specific training programs, by travelling even great distances.
  • a method for controlling such a hybrid bicycle, a related program product and a hybrid bicycle also form the object of the present invention.
  • FIG. 1 shows a hybrid bicycle according to one embodiment of the present invention
  • FIG. 2 shows, by means of a block diagram, a hybrid bicycle according to one embodiment of the invention
  • FIG. 3 shows, by means of a block diagram, a method for controlling an electric motor of a hybrid bicycle according to one embodiment of the present invention
  • FIG. 4 shows, by means of a block diagram, a system for controlling a hybrid bicycle according to one embodiment of the invention.
  • 200 indicates a system 200 for controlling a hybrid bicycle 1, hereinafter also simply system 200, according to one embodiment of the invention.
  • the system 200 comprises a first data processing unit 201, for example a microprocessor or a microcontroller, and a first memory unit 202, operatively connected to the first data processing unit 201.
  • a first data processing unit 201 for example a microprocessor or a microcontroller
  • a first memory unit 202 operatively connected to the first data processing unit 201.
  • the first memory unit 202 may be internal or external (as e.g. shown in figure 4) to the first data processing unit 201.
  • the first memory unit 202 is configured to store a program product which is executable by the first data processing unit 201 to control the hybrid bicycle 1, as will be also described later .
  • the system 200 further comprises a first data communication module 203, operatively connected to the first data processing unit 201, which first data communication module 203 is adapted to communicate data by means of a wireless communication channel (for example, by means of a Bluetooth communication channel or a Wi-Fi communication channel) and/or a wired communication channel.
  • a wireless communication channel for example, by means of a Bluetooth communication channel or a Wi-Fi communication channel
  • the system 200 comprises an electronic device 204 that can be associated with the user (for example a smartphone, a tablet or a multimedia digital file reader, etc.) .
  • the first memory unit 202 and the first data communication module 203 are integrated in the electronic device 204.
  • the first data communication module 203 is adapted to communicate by means of a wireless communication channel.
  • the first data communication module 203 may be adapted to communicate by means of a wireless communication channel and/or a wired communication channel.
  • the system 200 further comprises a hybrid bicycle 1, which will now be described with particular reference to figures 1 and 2.
  • the hybrid bicycle 1 comprises a frame 2 to which a handlebar 3, a saddle 4, a pair of pedals 5, a front wheel 6 and a rear wheel 7 are mounted.
  • the hybrid bicycle 1 further comprises an electric motor 8 that can be operated to assist a user in pedaling .
  • the hybrid bicycle 1 comprises a second data processing unit 9, for example a microprocessor or a microcontroller.
  • the electric motor 8 is operatively connected to the second processing unit 9.
  • the hybrid bicycle 1 further comprises a second memory unit 10, operatively connected to the second data processing unit 9.
  • the second memory unit 10 may be internal or external (as shown in figure 2) with respect to the second data processing unit 9.
  • the second memory unit 10 is configured to store a program product which is executable by the second data processing unit 9 for managing the hybrid bicycle 1 from an electric and/or electronic point of view.
  • the electric bicycle 1 further comprises at least one sensor 11 for detecting a parameter representative of the performance of a user during pedaling.
  • Such an at least one sensor 11 is operatively connected to the second data processing unit 9.
  • parameter representative of the performance of a user during pedaling means both a physiological parameter of the user detected during pedaling such as, for example, heart rate, lactacidemia, temperature, perspiration, etc., and a mechanical parameter related to the use of the hybrid bicycle such as, for example, speed, pedaling frequency or rate, the power supplied in watts, etc.
  • the at least one sensor 11 will be selected conveniently to detect the selected parameter depending on the selection of the parameter representative of the performance of a user during pedaling.
  • the at least one sensor 11 may be installed in a suitable area or at a suitable component of the hybrid bicycle 1.
  • the at least one sensor 11 is integrated in the handlebar 3 of the hybrid bicycle 1.
  • the at least one sensor 11 may be integrated in one or both the grips of the handlebar 3.
  • the at least one sensor 3 may preferably be a sensor adapted to detect a physiological parameter of the user.
  • the at least one sensor 11 is integrated in the saddle 4 of the hybrid bicycle 1.
  • the hybrid bicycle 1 may comprise a plurality of sensors, each for detecting a parameter representative of the performance of the user during pedaling .
  • the plurality of sensors is distributed on the hybrid bicycle 1 in several components (handlebar, saddle, pedals, etc.) .
  • the hybrid bicycle 1 comprises a second data communication module 12, operatively connected to the second data processing unit 9, which second data communication module 12 is adapted to communicate data by means of a wireless communication channel (for example, by means of a Bluetooth communication channel or a Wi-Fi communication channel) and/or a wired communication channel.
  • a wireless communication channel for example, by means of a Bluetooth communication channel or a Wi-Fi communication channel
  • the second data processing unit 9 is configured to communicate the value of the parameter detected by said at least one sensor 11 by means of the second data communication module 12.
  • the first data processing unit 201 is advantageously configured to control the hybrid bicycle 1 based on a comparison of the value of the parameter detected by said at least one sensor 11 with one or more reference values.
  • controlling the hybrid bicycle 1 means intervening, by means of the first data processing unit 201, on any of the components of the hybrid bicycle 1 that can be operated, can be directly or indirectly controlled, also by involving the second data processing unit 9.
  • the first data processing unit 201 is configured to actuate the electric motor 8 (possibly also involving the second data processing unit 9) based on the comparison of the value of the detected parameter with a reference value.
  • the first data processing unit 201 is configured to operate the electric motor 8 (possibly also involving the second data processing unit 9) in the case where the detected value is lower than the reference value. This occurs for example in the case where the detected parameter is the heart rate, lactacidemia, temperature, perspiration of the user during pedaling.
  • the first data processing unit 201 (possibly also involving the second data processing unit 9) is configured to interrupt the action of the electric motor 8.
  • the first data processing unit 201 may be configured to actuate the electric motor 8 in the case where the detected value is greater than the reference value, while, in the case where the detected value is lower than the reference value, the first data processing unit 201 (possibly also involving the second data processing unit 9) is configured to interrupt the action of the electric motor 8.
  • the hybrid bicycle 1 further comprises a rechargeable battery 13 to provide the electric motor 8 with electricity.
  • the rechargeable battery 13 is adapted to also provide the other electronic and/or electric components of the hybrid bicycle 1 with electricity.
  • the hybrid bicycle 1 further comprises a device 14 for recovering the kinetic energy of the hybrid bicycle 1 while a user is pedaling, which device is operatively connected to the rechargeable battery 13.
  • Such a device is likewise operatively connected to the second data processing unit 9.
  • Such a device 14 for recovering the kinetic energy of the hybrid bicycle 1 while the user is pedaling is for example of the KERS type (Kinetic Energy Recovery System) .
  • the first data processing unit 201 is likewise configured to generate a value of the power supplied by a user in an instant of time during pedaling based on the value of the detected parameter. Moreover, the first data processing unit 201 is configured to control the device 14 for recovering the kinetic energy of the hybrid bicycle while the user is pedaling based on the comparison of the value of the power supplied by the user in an instant of time during pedaling and a range of reference ideal power values.
  • reference ideal power means the power (in watts) that can be supplied by the user during pedaling which is representative of the maximum performance efficiency that the user may ensure during pedaling.
  • Such a reference ideal power is determined based on the statistics relating to the use of the hybrid bicycle by the user in a period of time preceding the pedaling in progress relating to mechanical parameters such as, for example, the average speed, the average pedaling frequency, etc., or physiological parameters of the user such as the average heart rate, the average lactacidemia, the average temperature, the average perspiration, etc., or a combination of mechanical parameters and physiological parameters.
  • the reference ideal power may be determined as a percent value of a value of maximum ideal power corresponding to a value of maximum oxygen consumption of a user and on the basis of a set level of training of the user, as it will be described in greater detail in the following.
  • the use of the hybrid bicycle 1 by the user in the preceding period of time may be other pedaling during a training or other pedaling or a physical warm-up exercise before the training of pedaling.
  • the first data processing unit 201 is configured to determine the range of reference ideal power values based on the statistics relating to the use of the hybrid bicycle by the user in a period of time preceding the pedaling in progress, as defined above.
  • the range of ideal power values that can be supplied by a user during pedaling comprises a lower reference value and an upper reference value.
  • Such a lower reference value and such an upper reference value define a range of values within which the power supplied by the user represents a maximum performance efficiency corresponding to the one of the ideal power defined previously.
  • the value of the power supplied by the user it is detected by said at least one sensor 11 (power sensor) or it may be determined by the first data processing unit 201 based on the parameter detected by said at least one sensor 11, if this sensor is adapted to detect a mechanical or physiological parameter, which in any case is different from the power supplied by the user .
  • the first data processing unit 201 is configured to operate the device 14 for recovering the kinetic energy of the hybrid bicycle 1 while the user is pedaling to charge the rechargeable battery.
  • the first data processing unit 201 in combination with the preceding one, in the case where the value of the power supplied generated is lower than the lower reference value, the first data processing unit 201 is configured to operate the electric motor 8.
  • the first data processing unit 201 is configured to assist the user by operating the electric motor 8, in the case where the power supplied is lower than the ideal power that can be supplied by the user at the maximum efficiency. Moreover, the first data processing unit 201 is configured to exploit the kinetic energy generated by the user, by charging the rechargeable battery 13 by means of the device 14 for recovering the kinetic energy of the hybrid bicycle 1 during pedaling, in the case where the power supplied is comprised within the range of ideal power values that can be supplied by the user.
  • the Applicant points out that a training performed at maximum efficiency allows to exploit the kinetic energy (or at least a part thereof) generated by the user to charge the rechargeable battery 13 without necessarily causing any harm to the user.
  • the reference ideal power may be determined, by the first data processing unit 201, as a percent value of a value of maximum ideal power corresponding to a value of maximum oxygen consumption (V02max) of a user and on the basis of a set level of training of the user.
  • the maximum oxygen consumption of a user is a biological parameter that expresses the maximum volume of oxygen (V02max) that a human being can consume in the unit of time (i.e. one minute) required for the sustained muscle contraction .
  • the first data processing unit 201 is configured to determine a value of maximum oxygen consumption (VOmax) of a user on the basis of personal data of the user
  • a survey related to the amount of physical activity performed by the user in a set period of time e.g., during a week, during two weeks, and so on
  • HNET Houston Non Exercise Test
  • the first data processing unit 201 is configured to determine a value of maximum ideal power on the basis of the determined value of maximum oxygen consumption
  • such a value of maximum ideal power is determined by querying correlation tables on the basis of the determined value of maximal oxygen consumption (V02max) and of at least one personal data of the user (e.g., the weight) .
  • the first data processing unit 201 is also configured to assign a set level of training to the user, on the basis of the value of maximum ideal power or the determined value of maximum oxygen consumption (V02max) , by querying correlation tables on the basis of the value of maximum ideal power or the determined value of maximum oxygen consumption (V02max) and at least one further personal data of the user (for example, the age) .
  • the assigned set level of training of the user is preferably at least one of the following: a first level of training of the beginner type, a second level of training of the intermediate type, a third level of training of the advanced type.
  • the first data processing unit 201 is advantageously configured to control the hybrid bicycle 1, on the basis of the assigned set level of training, according to a set trend of the intensity of training.
  • the set trend of the intensity of training depends on the time (e.g., it is based on intervals of 10 minutes, intervals of 5 minutes, intervals of variable width, and so on) and/or on different variable external conditions (e.g., slope of the road, type of soil of the road, wind, rain, and so on) .
  • the intensity of training depends on the power supplied by the electric motor 8 and/or on the power absorbed by the device 14 for recovering the kinetic energy of the hybrid bicycle 1.
  • the intensity of training decreases when the power supplied by the motor 8 increases, i.e. when the level of assistance to the user' s pedaling provided by the motor 8 increases, or when the level of the power absorbed by the device 14 for recovering the kinetic energy of the hybrid bicycle 1 decreases.
  • the intensity of training increases when the power supplied by the motor 8 decreases, i.e., when the level of assistance to the user's pedaling provided by the motor 8 decreases, or when the level of the power absorbed by the device 14 for recovering the kinetic energy of the hybrid bicycle 1 increases .
  • control of the hybrid bike 1, by the first data processing unit 201, on the basis of the assigned set of level of training, can be executed by actuating (possibly involving the second data processing unit 9) one of the electric motor 8 and the device 14 for recovering the kinetic energy of the hybrid bicycle 1.
  • the power supplied by the electric motor 8 and/or the power absorbed by the device 14 for recovering the kinetic energy of the hybrid bicycle 1 can change accordingly.
  • the slope of the road can "assist” or “non-assist” the user's pedaling if, respectively, downhill or uphill.
  • the intensity of training increases or decreases when the maximum ideal power or the value of oxygen consumption (V02max) of the user increases o decreases.
  • the set trend of the intensity of training can be fixed over time.
  • the set trend of the intensity of training may be variable over time (for example, a trend according to different profiles such as a trend with steps, a trend with increasing ramp, a trend with decreasing ramp, and so on) .
  • the set level of the training of the user allows to set the percent value of the maximum ideal power as a reference ideal power.
  • the first level of training of the beginner type needs as a reference ideal power a percent value in the range of 30% - 40% of the maximum ideal power.
  • high assistance it is meant a high level of power supplied by the motor (high percentage with respect to the maximum power of the motor 8) , for example equal to 60% - 70% of the maximum power which can be supplied by the motor 8.
  • the second level of training of the intermediate type needs as a reference ideal power a percent value in the range of 45% - 55% of the maximum ideal power.
  • medium assistance it is meant a medium level of power supplied by the motor (medium percentage with respect to the maximum power of the motor 8) , for example equal to 45% - 55% of the maximum power which can be supplied by the motor 8.
  • the third level of training of the advanced type needs as a reference ideal power a percent value in the range of 60% - 70% of the maximum ideal power.
  • low assistance it is meant a low level of power supplied by the motor (low percentage with respect to the maximum power of the motor 8) , for example equal to 30% - 40% of the maximum power which can be supplied by the motor 8.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 to allow the user to develop a set percent value of the maximum ideal power of the user and to allow the user to compensate possible variations of the training on the hybrid bicycle 1 due to variable external conditions (e.g., slope of the road, type of soil of the road, wind, rain, and so on) .
  • variable external conditions e.g., slope of the road, type of soil of the road, wind, rain, and so on
  • the first data processing unit 201 is configured to provide the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 with the reference ideal power as a percent value of the maximum ideal power on the basis of the set level of training of the user.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 on the basis of the comparison of the power supplied by the user and the determined reference ideal power.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 according to a set trend of the intensity of training fixed over time.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy according to a set trend of the intensity of training variable over time.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 according to a set trend variable as a function of set variable external conditions.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 to guarantee to the user a reference ideal power equal to a set first percent value of the maximum ideal power for a set first interval of time and equal to a set second percent value of the maximum ideal power for a set second interval of time.
  • the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 to guarantee a reference ideal power such as to allow the user to develop a set percent value of the maximum ideal power of the user.
  • the training program may provide that the user train himself at 60% of its maximum ideal power and, on the basis of the reference ideal power, the first data processing unit 201 is configured to actuate the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 to compensate the difference.
  • the second data processing unit 9 (and the second memory unit 10), the electric motor 8, the rechargeable battery 13, the device 14 for recovering the kinetic energy of the hybrid bicycle 1 while the user is pedaling are contained in a hub of a wheel of the hybrid bicycle 1, e.g. the rear wheel 7.
  • the first data processing unit 201 in order to control the hybrid bicycle 1 based on the comparison of the value of the detected parameter with one or more reference values, is configured to receive such a parameter detected by said at least one sensor 11 by means of the first data communication module 203 (for example, by communicating data on a Bluetooth communication channel) .
  • the second data processing unit 9 is configured to send the parameter detected by said at least one sensor 11 by means of the second data communication module 12 (for example, by communicating data on a Bluetooth communication channel) .
  • the first data processing unit 201 is configured to control the hybrid bicycle 1 by sending the control commands described previously by means of the first data communication module 203 (for example, by communicating data on a Bluetooth communication channel) .
  • the second data processing unit 9 is configured to receive such control commands by means of the second data communication module 12 (for example, by communicating data on the Bluetooth communication channel) .
  • the second data processing unit 9 is configured to provide the control commands received directly to the hybrid bicycle 1, for example to the electric motor 8 and to the device 14 for recovering the kinetic energy of the hybrid bicycle 1 during pedaling.
  • the second data processing unit 9 is configured to receive and further process such control commands before providing the corresponding control signals to the hybrid bicycle 1.
  • first data processing unit 201, the first memory unit 202 and the first data communication module 203 correspond to the second data processing unit 9, the second memory unit 10 and the second data communication module 12, respectively, of the hybrid bicycle 1.
  • the second data processing unit 9 is configured to control the device 14 for recovering the kinetic energy of the hybrid bicycle while the user is pedaling, based on the comparison of the value of the power supplied by the user in an instant of time during pedaling and a range of reference ideal power values.
  • the second data processing unit 9 is configured to determine the range of reference ideal power values based on the statistics relating to the use of the hybrid bicycle by the user in a period of time preceding the pedaling in progress, as defined previously .
  • the intelligent control part of the system 200 is integrated in the hybrid bicycle 1.
  • the system 200 and the hybrid bicycle 1 are entirely similar to the ones described previously.
  • the method 100 comprises a symbolic step of starting ST.
  • the method 100 further comprises a step of detecting 101, by at least one sensor 11 with which the hybrid bicycle 1 is provided, a parameter representative of the performance of a user during pedaling.
  • the method 100 further comprises a step of controlling 102, by a first data processing unit 201, the hybrid bicycle 1 based on a comparison of the value of the parameter detected with one or more reference values .
  • the first data processing unit 201 has been described previously.
  • the step of controlling 102 comprises a step of operating, by the first data processing unit 201, the electric motor 8, based on the comparison of the value of the detected parameter with a reference value.
  • the step of controlling 102 comprises a step of determining, by the first data processing unit 201, a range of reference ideal power values based on statistics relating to the use of the hybrid bicycle by the user in a period of time preceding the pedaling in progress .
  • step of controlling 102 comprises the steps of:
  • a device 14 for recovering the kinetic energy of the hybrid bicycle 1 while the user is pedaling based on the comparison of the value of the power supplied by the user in an instant of time during pedaling and the range of reference ideal power values determined.
  • the device 14 has already been described previously .
  • the range of ideal power values that can be supplied by a user during pedaling comprises a lower reference value and an upper reference value.
  • the method 100 comprises a step of operating, by the first data processing unit 201, the device 14 for recovering the kinetic energy of the hybrid bicycle while the user is pedaling to charge the rechargeable battery 13.
  • the method 100 comprises a step of operating, by the first data processing unit 201, the electric motor 8.
  • the method 100 comprises a symbolic step of ending ED.
  • the method 100 comprises a step of determining, by the first data processing unit 201, the reference ideal power as a percent value of a value of maximum ideal power corresponding to a value of maximum oxygen consumption (V02max) of a user and on the basis of a set level of training of the user.
  • the maximum oxygen consumption of a user is, by definition, a biological parameter that expresses the maximum volume of oxygen (V02max) that a human being can consume in the unit of time (i.e. one minute) required for the sustained muscle contraction .
  • the step of determining the reference ideal power comprises a further step of determining, by the first data processing unit 201, a value of maximum oxygen consumption (VOmax) of a user on the basis of personal data of the user (e.g. height, weight, age, gender, and so on) and on the basis on answers to a survey related to the amount of physical activity performed by the user in a set period of time (e.g., during a week, during two weeks, and so on), e.g. a survey according to the HNET (Houston Non Exercise Test) methodology, per se known.
  • VOmax maximum oxygen consumption
  • the step of determining the reference ideal power comprises a further step of determining, by the first data processing unit 201, a value of maximum ideal power on the basis of the determined value of maximum oxygen consumption ( V02max ) .
  • such a value of maximum ideal power is determined by querying correlation tables on the basis of the determined value of maximal oxygen consumption (V02max) and of at least one personal data of the user (e.g., the weight) .
  • the step of determining the reference ideal power comprises a further step of assigning, by the first data processing unit 201, a set level of training to the user, on the basis of the value of maximum ideal power or the determined value of maximum oxygen consumption (V02max) , by querying correlation tables on the basis of the value of maximum ideal power or the determined value of maximum oxygen consumption (V02max) and at least one further personal data of the user (for example, the age) .
  • the assigned set level of training of the user is preferably one of the following: a first level of training of the beginner type, a second level of training of the intermediate type, a third level of training of the advanced type.
  • the method further comprises a step of controlling, by the first data processing unit 201, the hybrid bicycle 1, on the basis of the assigned set level of training, according to a set trend of the intensity of training.
  • the set trend of the intensity of training can be fixed over time.
  • the set trend of the intensity of training may be variable over time (for example, a trend according to different profiles such as a trend with steps, a trend with increasing ramp, a trend with decreasing ramp, and so on) .
  • the method comprises a step of provide, by the first data processing unit 201, to the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1, with the reference ideal power as a percent value of the maximum ideal power on the basis of the set level of training of the user.
  • the step of controlling the hybrid bicycle 1, according to a set trend over time of the intensity of training comprises a step of actuating, by the first data processing unit 201, the electric motor 8 or the device 14 for recovering the kinetic energy of the hybrid bicycle 1 on the basis of the comparison of the power supplied by the user and the determined reference ideal power.
  • the method comprises the step of set, by the first data processing unit 201, a percent value of the maximum ideal power as a reference ideal power on the basis of the set level of training of the user.
  • the step of actuating, by the first data processing unit 201 (possibly also involving the second data processing unit 9), one of the electric motor 8 and the device 14 for recovering the kinetic energy of the hybrid bicycle 1 is performed to guarantee to the user a reference ideal power such as to allow the user to develop a set percent value of the maximum ideal power of the user and to allow the user himself to compensate possibly variations of the training on the hybrid bicycle 1 due to variable external conditions (e.g., slope of the road, type of soil of the road, wind, rain, and so on) .
  • variable external conditions e.g., slope of the road, type of soil of the road, wind, rain, and so on
  • the step of actuating, by the first data processing unit 201 (possibly also involving the second data processing unit 9) , one of the electric motor 8 and the device 14 for recovering the kinetic energy of the hybrid bicycle 1 is performed according to a set trend over time of the intensity of training.
  • the step of actuating, by the first data processing unit 201 (possibly also involving the second data processing unit 9) , one of the electric motor 8 and the device 14 for recovering the kinetic energy of the hybrid bicycle 1 is performed according to a set trend variable over time of the intensity of training.
  • the step of actuating, by the first data processing unit 201, one of the electric motor 8 and the device 14 for recovering the kinetic energy of the hybrid bicycle 1 is performed according to a set trend variable as a function of set variable external conditions, examples of which have been previously reported.
  • the steps of the method 100 are intended as being executed by the electronic device 204.
  • the steps of method 100 are intended as being executed by the hybrid bicycle 1.
  • a program product may be charged in a memory unit (for example, the first memory unit 202 of the electronic device 204 or the second memory unit 10 of the hybrid bicycle 1) of an electronic computer (for example, the first data processing unit 201 of the electronic device 204 or of the second data processing unit 9 of the hybrid bicycle 1) .
  • the program product may be executed by the first data processing unit 201 of the electronic computer (electronic device 204) or possibly by the second data processing unit 9 (of the hybrid bicycle 1), if it corresponds with the first data processing unit 201, in order to execute the steps of method 100 for controlling the hybrid bicycle 1, described previously with reference to figure 3 and according to various embodiments.
  • the object of the invention is achieved because the hybrid bicycle 1 has the following advantages .
  • the hybrid bicycle 1 is configured to be controlled based on a comparison of a value of detected parameter representative of the performance of the user during pedaling with a reference value in order to operate the electric motor in the case where modest performance of the user is detected (that is, with power supplied below the ideal power) and in order to exploit the kinetic energy generated in the case where exceptional performance is detected (that is, with power supplied greater than the ideal power) .
  • control of the hybrid bicycle 1 is fairly accurate because the ideal power that can be supplied and the power supplied are determined based on parameters representative of the performance of the user during pedaling, i.e. physiological parameters or mechanical parameters or a combination of one or more thereof .
  • control system (or the hybrid bicycle directly) is advantageously configured to determine the reference ideal power, with respect to which to then execute the control of the hybrid bicycle 1, based on the statistics relating to the use of the hybrid bicycle by the user in a period of time preceding the pedaling in progress relating to mechanical parameters (for example, the average speed, the average pedaling frequency) or physiological parameters of the user (for example, the average heart rate, the average lactacidemia, the average temperature, the average perspiration, etc.) or a combination of them, therefore based on several parameters and not on a specific parameter, as done to date .
  • mechanical parameters for example, the average speed, the average pedaling frequency
  • physiological parameters of the user for example, the average heart rate, the average lactacidemia, the average temperature, the average perspiration, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

L'invention concerne un système de commande (200), comprenant : - une première unité de traitement de données (201) ; - une bicyclette (1) hybride comportant : - un moteur électrique qui peut être actionné pour aider un utilisateur à pédaler ; - au moins un capteur servant à détecter un paramètre représentatif de la performance d'un utilisateur au cours du pédalage, la première unité de traitement de données (201) étant configurée pour commander la bicyclette hybride (1) sur la base d'une comparaison de la valeur du paramètre détecté par rapport à une ou plusieurs valeurs de référence.
PCT/IB2016/053327 2015-06-08 2016-06-07 Système de commande d'un vélo hybride WO2016199013A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IT102015000021344 2015-06-08
ITUB20150984 2015-06-08

Publications (1)

Publication Number Publication Date
WO2016199013A1 true WO2016199013A1 (fr) 2016-12-15

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PCT/IB2016/053327 WO2016199013A1 (fr) 2015-06-08 2016-06-07 Système de commande d'un vélo hybride

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Country Link
WO (1) WO2016199013A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115230858A (zh) * 2022-07-25 2022-10-25 常州洪邦新能源技术有限公司 一种整车姿态关联系统功率辅助方法

Citations (6)

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Publication number Priority date Publication date Assignee Title
JP2004001735A (ja) * 2003-05-12 2004-01-08 Seiko Epson Corp 駆動力補助装置および駆動力補助装置の制御方法
US20110254673A1 (en) * 2008-11-07 2011-10-20 Jean Eric Method for managing the strain of a user of a human propulsion vehicle, and vehicle adapted for said method
EP2436591A1 (fr) * 2010-09-30 2012-04-04 Honda Motor Co., Ltd. Appareil de contrôle pour bicyclette assistée par moteur
GB2485216A (en) * 2010-11-08 2012-05-09 Ultra Motor Ltd Electric pedal cycle with exercise program
DE102011082084A1 (de) * 2011-09-02 2013-03-07 Schaeffler Technologies AG & Co. KG Fahrrad
DE102013209470A1 (de) * 2013-05-22 2014-11-27 Robert Bosch Gmbh Fahrerdrehmomentbestimmung eines elektrischen Fahrzeugs

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004001735A (ja) * 2003-05-12 2004-01-08 Seiko Epson Corp 駆動力補助装置および駆動力補助装置の制御方法
US20110254673A1 (en) * 2008-11-07 2011-10-20 Jean Eric Method for managing the strain of a user of a human propulsion vehicle, and vehicle adapted for said method
EP2436591A1 (fr) * 2010-09-30 2012-04-04 Honda Motor Co., Ltd. Appareil de contrôle pour bicyclette assistée par moteur
GB2485216A (en) * 2010-11-08 2012-05-09 Ultra Motor Ltd Electric pedal cycle with exercise program
DE102011082084A1 (de) * 2011-09-02 2013-03-07 Schaeffler Technologies AG & Co. KG Fahrrad
DE102013209470A1 (de) * 2013-05-22 2014-11-27 Robert Bosch Gmbh Fahrerdrehmomentbestimmung eines elektrischen Fahrzeugs

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115230858A (zh) * 2022-07-25 2022-10-25 常州洪邦新能源技术有限公司 一种整车姿态关联系统功率辅助方法
CN115230858B (zh) * 2022-07-25 2023-07-14 常州洪邦新能源技术有限公司 一种整车姿态关联系统功率辅助方法

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