PATENT CLAIM ANALYSIS

Application Number: 16434005
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["320", "108000"]

Abstract:
A method for detecting a foreign object in a wireless power transmitter, which wirelessly transmits power to a wireless power receiver through a resonant circuit comprised therein, according to one embodiment of the present invention may comprise the steps of: measuring the strength of power transmitted through the resonant circuit in a power transmission step; receiving, from the wireless power receiver, a feedback packet comprising information on a receive power strength; determining whether the information on the receive power strength is normal; when it is determined that a received power strength corresponding to the information on the receive power strength is abnormal, correcting the received power strength by applying a predetermined offset thereto; calculating a path loss on the basis of the measured strength of the transmitted power and the corrected received power strength; and detecting a foreign object by comparing the calculated path loss with a path loss threshold.

Claim (Index 2):
The wireless power transmission method according to  claim 1 , if determining that the foreign object is not present through the foreign object detection procedure based on the quality factor value, the foreign object detection procedure based on the path loss is performed.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 100.0
- Lexical Diversity: 2.13158
- Patent Class: 320.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15319980', '15798202', '13272774', '15124043', '13436309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7626587500856271
- 35 USC 102 Novelty (BERT): 0.4867310342162394
- Combined Prediction Score: 0.7350659784986883
- Mean Citation Score: 219.13387000000003
- Max Citation Score: 229.29614
- Similarity Product: 169.71427027221918

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test