CONTROL SYSTEM OF LEARNING APPLICATIONS FOR ELECTRIC BIKES

• US 20180362114A1
• Filed: 06/14/2017
• Published: 12/20/2018
• Est. Priority Date: 06/14/2017
• Status: Abandoned Application

• Current Assignee: Guan Hung Technology Co., Ltd.
• Original Assignee: Guan Hung Technology Co., Ltd.
• Inventors: Lee, Wen-Sung
• Application Number:
  US15/622,087
• Publication Number:
  US 20180362114A1
• Time in Patent Office: Days
• CPC Class Codes: B62M 6/45 Control or actuating devices therefor
• CPC Class Codes: B62M 6/50 characterised by detectors or sensors, or arrangement thereof
• CPC Class Codes: B62M 6/55 power-driven at crank shafts parts
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A control system for an electric bike includes a controller which has a first Bluetooth transmitting unit connected to a mobile device by a wireless way. The mobile device includes a second Bluetooth transmitting unit, a detector and an operation application. The user calls a learning application which learns the operation application that currently operates the bike in different situations, and then the learning application takes over the control of the bike, Therefore, the user does not need a hand to operate the mobile device to control the bike.

Claims

1. A control system for an electric bike (1) which comprises a crank (11), a motor (12) and a battery (13) winch powers the motor (12), wherein:

the control system comprises a controller (14) is adapted to he installed to the bike (1) and electrically connected to the motor (12) and the battery (13), the controller (14) has a first Bluetooth transmitting unit (141) which is connected to a mobile device (2) by wireless way, the mobile device (2) includes a second Bluetooth transmitting unit (21), a detector (22) and an operation application (23), the mobile device (2) is adapted to be connected to the bike (1), the second Bluetooth transmitting unit (21) of the mobile device (2) is adapted to detect the bike (1) and generates multiple dynamic status values (221) which are sent to the controller (14) by the second Bluetooth transmitting unit (21) of the mobile device (2), the controller (14) sends commands to the motor (12) and the battery (13) to control output of the motor (12) and the battery (13), the operation application (23) receives the multiple dynamic status values (221) and creates multiple operation options (231) which are displayed on a touch screen of the mobile device (2), the operation application (23) sends the multiple operation options (231) to the controller (14) to be adapted to control the bike (1), the mobile device (2) is connected to a cloud and downward a learning application (24) from the cloud, the learning application (24) learns the way that the operation application (23) receives the multiple dynamic status values (221) and imitates the operation options (231) which are displayed on the touch screen of the mobile device (2), the learning application (24) learns processes of operation of choosing the operation options (231), and learns processes of use of the operation options (231) so as to take over the operation application (23) to be adapted to control the bike (1).

2. The control system as claimed in claim 1, wherein the detector (22) is a G-sensor.

3. The control system as claimed in claim 1, wherein the multiple dynamic status values (221) include speed, initial speed, average speed, G force, average G force, upward slope, downward slope, and acceleration of the bike (1) that are detected by the G-sensor.

4. The control system as claimed in claim 1, wherein the operation options (231) that the learning application (24) team from the operation application (23) include economic mode, racing mode and balance mode.

5. The control system as claimed in claim 1, wherein the operation options (231) that the learning application (24) learn from the operation application (23) include a plus-force output and a minus-force output of the motor (12).