PATENT CLAIM ANALYSIS

Application Number: 15988123
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["701", "112000"]

Abstract:
In a control system having at least one electronic control unit for controlling an internal combustion engine in a hybrid vehicle, the control unit is designed in such a way that it evaluates input signals for detecting data for identifying a current situation and for identifying at least one situation forecast in the near future with regard to an expected speed curve and at least the predicted current traffic light phase duration. Depending thereon and on a change in load brought about by a driver interaction, the control unit controls, in a manner that is adaptive to the situation, the restart and shutoff of the internal combustion engine independently of a currently predefined EV mode speed limit and/or EV mode load limit.

Claim (Index 1):
A control system, comprising:\n an electronic control unit that controls a combustion engine in a hybrid vehicle, the electronic control unit being operatively configured to: evaluate input signals for detecting data for identifying a current situation and at least one future situation forecast in a near future with regard to an expected speed curve and/or power curve, and control a restarting or shutting-off of the combustion engine upon an occurrence of a power-related driver interaction in the current situation independently of a currently specified E-travel speed limit and/or power limit when the control unit identifies a traffic light phase and a duration thereof as a future situation forecast in the near future.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 1.72973
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15988154', '10785366', '13774054', '13574851', '13642244']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4167371826387895
- 35 USC 102 Novelty (BERT): 0.5261981709302439
- Combined Prediction Score: 0.4276832814679349
- Mean Citation Score: 210.318008
- Max Citation Score: 365.34402
- Similarity Product: 337.7710819900275

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