Method for diagnosing a bike

Patent metadata

Field	Value
Publication number	US-12530933-B2
Application number	US-202318318956-A
Country	US
Kind code	B2
Filing date	May 17, 2023
Priority date	May 18, 2022
Publication date	Jan 20, 2026
Grant date	Jan 20, 2026

Abstract

A method for diagnosing a bike, in particular an electric bike, by way of a decision tree includes (i) providing a fault notification or a symptom notification, (ii) determining a diagnostic method step for the bike based on the fault notification or the symptom notification, (iii) actuating the bike based on the diagnostic method step determined, (iv) detecting a diagnostic signal based on the actuated bike, and (v) determining a further diagnostic method step, a fault, or a fault underlying a symptom based on the diagnostic signal detected.

First claim

What is claimed is:

1 . A method for diagnosing a bike by way of a decision tree using a system including a diagnostic device and an external device operably connected to the diagnostic device, the method comprising:
providing a symptom notification from the external device to the diagnostic device, the symptom notification including an image of a portion of the bike, and the diagnostic device operably connected to the bike; determining a diagnostic method step for the bike based on the provided symptom notification using the diagnostic device; actuating the bike based on the diagnostic method step determined; detecting a diagnostic signal based on the actuated bike using the diagnostic device; and determining a further diagnostic method step, a fault, or a fault underlying a symptom based on the diagnostic signal detected, wherein the determined further diagnostic method step includes detecting an acoustical signal during operation of the bike using a microphone of the external device.

2 . The method according to claim 1 , wherein the image is generated by a camera of the external device.

3 . The method according to claim 1 , wherein a further symptom notification is provided by a server of the system, the server operably connected to the diagnostic device.

4 . The method according to claim 1 , wherein the diagnostic device is configured to actuate the bike by sending corresponding signals to a communication interface of the bike.

5 . The method according to claim 1 , wherein the actuation of the bike and the detection of the diagnostic signal occur automatically.

6 . The method according to claim 1 , wherein the diagnostic signal is detected by way of a user input.

7 . The method according to claim 1 , wherein:
the method is fully automatic or semiautomatic, and the semiautomatic method only requires the symptom notification as a user input.

8 . The method according to claim 1 , wherein a user input prompt is made based on the further diagnostic method step.

9 . The method according to claim 1 , wherein a cost parameter and/or a utility parameter is associated with the diagnostic method step.

10 . The method according to claim 1 , wherein a sequence of the method steps is changed based on historical field data.

11 . The method according to claim 9 , wherein a sequence of the diagnostic method steps determined is optimized by way of a feedback loop.

12 . The method according to claim 1 , wherein a sequence of the diagnostic method steps determined is adjusted by way of a machine learning system.

13 . The method according to claim 11 , wherein the cost parameter and/or the utility parameter is adjusted based on the feedback loop.

14 . The method according to claim 1 , wherein the bike is an electric bike.

15 . The method according to claim 1 , wherein the actuation of the bike and the detection of the diagnostic signal occur automatically by the bike.

16 . The method according to claim 1 , wherein a cost parameter and/or a utility parameter is associated with each diagnostic method step.

17 . The method according to claim 1 , wherein the fault tree is optimized by way of a feedback loop.

18 . The method according to claim 1 , wherein the fault tree is adjusted by way of a machine learning system.

19 . The method according to claim 1 , further comprising:
processing the image to identify visible damage to a drive unit of the bike using the diagnostic device; and proposing a replacement of the drive unit when the visible damage is identified using the diagnostic device.

20 . A method for diagnosing a bike by way of a decision tree using a system including a diagnostic device and an external device operably connected to the diagnostic device, the method comprising:
providing a symptom notification from the external device to the diagnostic device, the symptom notification including an image of a portion of the bike, and the diagnostic device operably connected to the bike; determining a diagnostic method step for the bike based on the provided symptom notification using the diagnostic device; actuating the bike based on the diagnostic method step determined; detecting a diagnostic signal based on the actuated bike using the diagnostic device; and determining a further diagnostic method step or a fault underlying a symptom based on the detected diagnostic signal, wherein the determined further diagnostic method step includes detecting an acoustical signal during operation of the bike using a microphone of the external device.

Assignees

• Bosch Gmbh Robert

Inventors

• Friese Andreas
• Wendel Viktor

Classifications

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G07C5/0808 Primary

  Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title

• G01R31/006

  on road vehicles, e.g. automobiles or trucks (testing of ignition installations peculiar to internal combustion engines F02P17/00) · CPC title

• B62J50/22

  electronic, e.g. displays · CPC title

• B62J45/412

  Speed sensors · CPC title