PATENT CLAIM ANALYSIS

Application Number: 16122892
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-08
Patent Classification: ["703", "002000"]

Abstract:
A method for forecasting thermal runaway safety of a full battery by a computer is provided and including receiving a self heat generation onset temperature T 0  of a first power battery, wherein the first power battery is a half cell; calculating a maximum temperature T max  of thermal runaway of the first power battery based on a thermal runaway reaction kinetic model stored in the computer, calculating a maximum temperature rise ΔT by making difference between the maximum temperature T max  and the self heat generation onset temperature T 0 ; and judging the thermal runaway safety of the first power battery by the relationship between the self heat generation onset temperature T 0  and the maximum temperature rise ΔT.

Claim (Index 32):
The method of  claim 28 , wherein the performing the differential scanning calorimetry test on each of the plurality of testing component materials comprises:\n obtaining N groups of differential scanning calorimetry test results by performing differential scanning calorimetry tests N times at different constant temperature rise scanning rates on each of the plurality of testing component materials, wherein N is a positive integer greater than or equal to 5; and obtaining the thermal runaway reaction and the plurality of parameters of the thermal runaway reaction of each of the plurality of testing component materials by the N groups of differential scanning calorimetry test results.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 97.0
- Lexical Diversity: 2.45098
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15312888', '12635904', '13088444', '12967002', '15227118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2328184843310867
- 35 USC 102 Novelty (BERT): 0.5170087057190291
- Combined Prediction Score: 0.261237506469881
- Mean Citation Score: 190.268912
- Max Citation Score: 204.83797
- Similarity Product: 116.53488285785676

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

Dataset: test