PATENT CLAIM ANALYSIS

Application Number: 16297619
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["363", "021060"]

Abstract:
This disclosure describes a unique bidirectional DC DC converter that transfers power between a high voltage source, such as the DC voltage in a solar PV array, a low voltage energy storage element such as a battery pack, and an inverter that is controlling the operating voltage of the solar PV array. Its novelty is that it is transparent to the inverter's control mechanism and is perceived as a source equivalent to the existing solar PV. By controlling the charge and discharge times of the energy storage element, the solar power that is harvested during the sun hour day can be metered back to the inverter at more optimal times, either for self consumption or to take advantage of higher rates of power sold to a connected utility. The bidirectional DC DC converter is unique in its operation in that it utilizes synchronous rectification when down-converting higher voltages to lower voltages and in that it uses high speed Silicon Carbide, or Gallium Nitride devices necessary for such rectification. Another unique aspect is the variable overlapping of the drive signal of the switches in the boost (second) stage of the converter which allows for a continuous range of voltage levels of the transferred power from energy storage element to the primary stage and output.

Claim (Index 7):
The apparatus of  claim 1 , wherein a signal port is connected to the controller of the bidirectional DC DC converter to receive data from the energy storage system.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 99.0
- Lexical Diversity: 1.97391
- Patent Class: 363.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14963458', '14975677', '16103145', '15288906', '13507467']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8271186926732436
- 35 USC 102 Novelty (BERT): 0.4779827488759535
- Combined Prediction Score: 0.7922050982935146
- Mean Citation Score: 201.138678
- Max Citation Score: 208.44026
- Similarity Product: 162.84141862743851

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