PATENT CLAIM ANALYSIS

Application Number: 15944299
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["320", "128000"]

Abstract:
A system and method for digital management and control of power conversion from battery cells. The system utilizes a power management and conversion module that uses a CPU to maintain a high power conversion efficiency over a wide range of loads and to manage charge and discharge operation of the battery cells. The power management and conversion module includes the CPU, a current sense unit, a charge/discharge unit, a DC-to-DC conversion unit, a battery protection unit, a fuel gauge and an internal DC regulation unit. Through intelligent power conversion and charge/discharge operations, a given battery type is given the ability to emulate other battery types by conversion of the output voltage of the battery and adaptation of the charging scheme to suit the battery.

Claim (Index 37):
The battery of  claim 34 , wherein the power converter comprises:\n a battery protection circuit configured to determine whether a hazardous condition of the one or more battery cells exists; a fuel gauging circuit for monitoring the state of charge of the one or more battery cells; and a current sensor shared by the battery protection circuit and the fuel gauging circuit, wherein the current sensor performs current sensing using a current loop, and wherein the battery protection circuit is configured to determine whether the hazardous condition of the one or more battery cells exists using a current identified by the current sensor using the current loop.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.0303
- Patent Class: 320.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13661496', '14693264', '11951562', '12988901', '15224123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.820773091442532
- 35 USC 102 Novelty (BERT): 0.5216020719814508
- Combined Prediction Score: 0.7908559894964239
- Mean Citation Score: 286.069834
- Max Citation Score: 362.33667
- Similarity Product: 278.3945792216975

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