Technique for Optimizing the Use of the Motor in Hybrid Vehicles

• US 20110246010A1
• Filed: 03/30/2011
• Published: 10/06/2011
• Est. Priority Date: 06/09/2006
• Status: Abandoned Application

• Current Assignee: Jose De La Torre Bueno, Law Office Of Scott C Harris Inc.
• Original Assignee: Jose De La Torre Bueno, Law Office Of Scott C Harris Inc.
• Inventors: de la Torre Bueno, Jose
• Application Number:
  US13/076,050
• Publication Number:
  US 20110246010A1
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 6/46 Series type
• CPC Class Codes: B60L 1/08 Methods and devices for control or regulation
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2240/62 Vehicle position
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 50/16 with provision for separate direct mechanical propulsion
• CPC Class Codes: B60L 50/61 by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles
• CPC Class Codes: B60L 53/14 Conductive energy transfer
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60L 8/00 Electric propulsion with power supply from forces of nature, e.g. sun or wind
• CPC Class Codes: B60L 8/003 Converting light into electric energy, e.g. by using photo-voltaic systems
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/26 for electrical energy, e.g. batteries or capacitors
• CPC Class Codes: B60W 20/11 using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance utilising navigation and traffic information in the control strategy B60W20/12
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2552/20 Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2710/0677 Engine power
• CPC Class Codes: B60W 40/12 related to parameters of the vehicle itself , e.g. tyre models
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/64 : Electric machine technologies in electromobility
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles

Abstract

In a hybrid vehicle, selecting the relative usage of the electric motor and the fossil fuel powered engine from moment to moment and also managing the storage of energy in the battery. A computer is used for determining information about a complete trip between a start point and a destination, dividing said complete trip into a plurality of different intervals, and determining, for each of said different intervals, a power level to run the engine at said each of said intervals. An embodiment uses evolutionary computing techniques to determine the most efficient routes.

Claims

1. A system for optimizing use of the engine of a hybrid vehicle to minimize fuel use by maximizing use of electrical energy in the engine, said system using a computer for determining information about a complete trip between a start point and a destination, dividing said complete trip into a plurality of different intervals, and determining, for each of said different intervals, a power level to run the engine at said each of said intervals.

2. A system as in claim 1, wherein said determining uses evolutionary techniques to select the power level at which to run the engine at each interval of a trip.

3. A method of optimizing use of the engine of a hybrid vehicle to minimize fuel use by maximizing use of electrical energy in the engine, comprising:

using a computer for determining information about a complete trip between a start point and a destination, dividing said complete trip into a plurality of different intervals, and determining, for each of said different intervals, a power level to run the engine at said each of said intervals.

4. A method as in claim 3, wherein said determining uses evolutionary techniques to select the power level at which to run the engine at each interval of a trip.