PATENT CLAIM ANALYSIS

Application Number: 16083318
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["073", "597000"]

Abstract:
The present invention discloses a method and device for monitoring state of charge and state of health of a battery, and relates to the technical field of battery. The method comprises: firstly, passing ultrasonic waves through a lithium-ion battery in different SOCs at different charging and discharging currents to obtain acoustic parameters, and then establishing respective corresponding relationships between the acoustic parameters and the lithium-ion battery SOC and SOH; and secondly, monitoring the acoustic parameters of a lithium-ion battery, and then estimating SOC and SOH of the lithium-ion battery by combining the monitored acoustic parameters with the respective corresponding relationships between the acoustic parameters and the lithium-ion battery SOC and SOH. The invention further provides a device implementing the above method. The method and device can monitor the battery SOC and SOH in a brand new way different from the electricity parameter measurement. The method can effectively monitor SOC and SOH of lithium-ion batteries of various types and shapes and thus has a good application prospect.

Claim (Index 7):
A device for implementing the method according to  claim 1 , comprising an ultrasonic signal source and an ultrasonic signal receiver, in which the ultrasonic signal source and the ultrasonic signal receiver are respectively located on both sides of a lithium-ion battery to be monitored, the ultrasonic signal source is used for emitting ultrasonic waves, and the ultrasonic signal receiver is used for receiving and recording the amplitude, flight time, and acoustic fingerprint of the ultrasonic waves.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.28205
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15873886', '15788134', '14610219', '12091315', '15836531']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7102910213506397
- 35 USC 102 Novelty (BERT): 0.4936324688693246
- Combined Prediction Score: 0.6886251661025082
- Mean Citation Score: 232.517926
- Max Citation Score: 245.77321
- Similarity Product: 181.22430112445

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test