PATENT CLAIM ANALYSIS

Application Number: 15870259
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["307", "025000"]

Abstract:
A voltage booster allowing for increased utilization of low voltage, high current, unregulated DC power (“LVDC source”), such as, but not limited to, fuel cells, batteries, solar cells, wind turbines, and hydro-turbines. LVDC generation systems employing a variable low voltage DC-DC converter of the present disclosure may be used without a power inverter in applications requiring high voltage DC inputs and can also allow for the employment of common, low cost, reliable, low voltage energy storage chemistries (operating in the 12-48 VDC range) while continuing to employ the use of traditional inverters designed for high voltage power supplies. An embodiment of the DC boost converter includes a plurality of interleaved, isolated, full-bridge DC-DC converters arranged in a Delta-Wye configuration and a multi-leg bridge.

Claim (Index 14):
A method for converting power from a low voltage DC source, comprising:\n receiving a low voltage DC signal through an input current filter; splitting the low voltage DC signal into a plurality of low voltage DC signals; converting each of the plurality of low voltage DC signals to corresponding ones of a plurality of low voltage AC signals; converting each of the plurality of low voltage AC signals to corresponding ones of a plurality of higher voltage AC signals; summing the plurality of higher voltage AC signals to form a high voltage AC signal; and converting the high voltage AC signal to a high voltage DC signal.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 86.0
- Lexical Diversity: 1.6044
- Patent Class: 307.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15209707', '11950271', '12914502', '11950307', '13207321']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8158604641529545
- 35 USC 102 Novelty (BERT): 0.5154335097577918
- Combined Prediction Score: 0.7858177687134383
- Mean Citation Score: 231.446628
- Max Citation Score: 338.90845
- Similarity Product: 251.62976969897747

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