PATENT CLAIM ANALYSIS

Application Number: 16164109
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["320", "109000"]

Abstract:
Electrical energy which has been provided for a given session (e.g. for charging an electric vehicle), but was not called up (required), can be otherwise used for at least one other session. The available electrical energy can be divided efficiently between the sessions in accordance with the actually required energy. Further, a plan set prior to this allocation requires only a low, or zero, degree of predictive accuracy since the amounts of assigned electrical energy can be corrected during the charging process. This is useful, for example, in electro-mobility and load management when charging a plurality of electric vehicles.

Claim (Index 22):
A method for providing electrical energy, the method comprising:\n providing electrical energy for a running session and making available at least a proportion of the electrical energy provided for the running session, which proportion has not been called up, to at least one other session that is running in parallel, wherein the proportion of the electrical energy, which has not been called up, is free or has not been requested; providing the at least the proportion of the electrical energy made available for the running session but has not been called up to the at least one other session running in parallel if at least the proportion of the electrical energy provided for the running session, but not called up, reaches at least a predetermined threshold value.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 1.47436
- Patent Class: 320.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14239590', '14115606', '10291760', '10881979', '14676773']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7008067695688469
- 35 USC 102 Novelty (BERT): 0.5012358466388691
- Combined Prediction Score: 0.6808496772758491
- Mean Citation Score: 148.081972
- Max Citation Score: 280.93463
- Similarity Product: 209.1464663506234

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

Dataset: test