PATENT CLAIM ANALYSIS

Application Number: 15756183
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["429", "218100"]

Abstract:
An object of the present invention is to provide a non-aqueous electrolyte secondary battery having high discharge capacity and high charge/discharge efficiency. The aforementioned problem can be resolved by a carbonaceous material for a non-aqueous electrolyte secondary battery negative electrode, using a plant as a carbon source, where potassium element content is 0.10 wt. % or less, true density determined by a pycnometer method using butanol is from 1.35 to 1.50 g/cm 3 , lithium is electrochemically doped in the carbonaceous material, and in a case where an NMR spectrum of lithium nucleus is measured, a main resonance peak shifted 110 to 160 ppm to a lower magnetic field side is exhibited with regard to a resonance peak of LiCl as a reference substance.

Claim (Index 11):
The method of manufacturing a carbonaceous material for a non-aqueous electrolyte secondary battery negative electrode according to  claim 10 , wherein the main firing step (5) and coating step (6) are performed by mixing the pulverized carbonaceous material precursor and a volatile organic compound that is solid at ambient temperature and having a residual carbon ratio that is less than 5 wt. % when ignited at 800\u00b0 C., and then main firing at 800\u00b0 C. to 1600\u00b0 C. in a non-oxidizing gas atmosphere.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.51724
- Patent Class: 429.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14424903', '15409242', '14424676', '14416107', '15501970']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8962120981518233
- 35 USC 102 Novelty (BERT): 0.5163520617526399
- Combined Prediction Score: 0.858226094511905
- Mean Citation Score: 298.07708
- Max Citation Score: 333.25378
- Similarity Product: 262.6485481422066

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