Approach for vehicle nano-rectenna panel

• US 10,592,630 B2
• Filed: 09/20/2017
• Issued: 03/17/2020
• Est. Priority Date: 09/20/2017
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Gabay, Dor, Jodorkovsky, Mario
• Primary Examiner(s): Levin, Naum
• Application Number:
  US15/710,280
• Publication Number:
  US 20190087525A1
• Time in Patent Office: 909 Days
• CPC Class Codes: G06F 2111/14 related to nanotechnology
• CPC Class Codes: G06F 30/36 Circuit design at the analogue level
• CPC Class Codes: G06F 30/392 Floor-planning or layout, e.g. partitioning or placement
• CPC Class Codes: H01L 31/06 characterised by potential barriers
• CPC Class Codes: H01M 10/465 with solar battery as charging system
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 3/38 Arrangements for parallely feeding a single network by two or more generators, converters or transformers
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 50/001 Energy harvesting or scavenging
• CPC Class Codes: H02J 50/27 characterised by the type of receiving antennas, e.g. rectennas
• CPC Class Codes: H02J 7/00 Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

A method of designing a nano-rectenna panel (NRP) of a vehicle includes generating one or more performance benchmarks associated with nano-rectenna devices that comprise the NRP. A material for the nano-rectenna devices is identified based on one or more of the one or more performance benchmarks. The method also includes designing the NRP based on the material.

Claims

1. A method of designing a nano-rectenna panel (NRP) of a vehicle, the method comprising:

generating one or more performance benchmarks associated with nano-rectenna devices that comprise the NRP;

identifying, using a processor, a material for the nano-rectenna devices based on one or more of the one or more performance benchmarks, wherein the identifying the material includes searching a database of known materials and corresponding characteristics for a match with the one or more performance benchmarks or defining material characteristics based on the one or more performance benchmarks; and

designing the NRP based on the material.

2. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for power absorbed by the NRP.

3. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for directivity of the NRP.

4. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for beam solid angle of the NRP.

5. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for divergence of current density.

6. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for thermal power dissipation.

7. The method according to claim 1, wherein the generating the one or more performance benchmarks includes generating a benchmark for energy transfer from electrodes to the nano-rectenna devices.

8. The method according to claim 1, wherein the identifying the material includes searching a database of known materials and corresponding characteristics for a match with the material characteristics based on the identifying the material including defining the material characteristics based on the one or more performance benchmarks.