Navigation system for vehicles

• US 20150046076A1
• Filed: 08/01/2014
• Published: 02/12/2015
• Est. Priority Date: 08/09/2013
• Status: Abandoned Application

• Current Assignee: Con W. Costello
• Original Assignee: Vicinity Software Limited
• Inventors: Costello, Con William
• Application Number:
  US14/449,412
• Publication Number:
  US 20150046076A1
• Time in Patent Office: Days
• US Class Current: 701/118
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G01C 21/3691 Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions arrangements for giving variable traffic instructions G08G1/09
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence

Abstract

The present invention relates to vehicles, specifically to an improved navigation system. In order to provide a technology, which will permit drivers of vehicles to better predict consumption and to conserve energy, for example energy in the form of electric battery power or fuel, and to extend the vehicle'"'"'s driving range, a method for optimizing a driving range of a vehicle, the method typically comprising the following steps: a) predicting driving routes based on a determined start and target route points based on a stored road network model; b) providing additional situation related data comprising environmental factors; c) calculating energy consumption of energy stored on board the vehicle for the predicted driving routes based on the situation related data; and d) determining a most economical route with regards to a minimized energy consumption.

Claims

1. A method for optimizing a driving range of a vehicle, the method comprising the following steps:

a) predicting driving routes based on a determined start and target route points based on a stored road network model;

b) providing additional situation related data comprising environmental factors; and

c) determining a most economical route with regards to a minimized energy consumption.

2. Method according to claim 1, wherein the additional situation related data comprises at least one of the group of:

environmental factors comprising metrology data, wind forecast, temperature, rain and snow fall;

precipitation forecast in prediction of use of vehicle functions; and

traffic related prediction.

3. Method according to claim 1 or 2, wherein the system considers the activation and use of at least one of the group of:

windscreen wipers in relation to weather forecast;

vehicle lighting in relation to daylight prediction; and

vehicle heating in relation to temperature forecast; and

wherein the system predicts the power consumption of on-board electrical devices in determination of the most economical route.

4. Method according to one of the preceding claims, wherein the system considers at least one of the group of:

i) driving style profiles;

ii) route gradient; and

iii) road geometry.

in determination of the most economical route

5. Method according to one of the preceding claims, wherein the system comprises a process for graphically recording geo-referenced consumption profiles.

6. Method according to one of the preceding claims, wherein the system predicts available driving range.

7. Method according to one of the preceding claims, wherein land-cover data is used.

8. Method according to one of the preceding claims, wherein, based on the determined most economical route, an adapted performance profile for controlling an engine'"'"'s power output for driving the vehicle is generated and provided for further travelling.

9. Method according to claim 1, comprising the step of calculating energy consumption of energy stored on board the vehicle for the predicted driving routes based on the situation related data.

15. A computer program element for controlling a device according to one of the claims 10 to 13, which, when being executed by a processor, is configured to perform the method steps of one of the claims 1 to 8.

16. Computer readable medium, comprising stored the computer program element of claim 15.

10. A driving range optimizer for a vehicle, comprising:

at least one processor;

at least one storage unit;

a data interface; and

a user interface;

wherein the at least one processor is configured to predict driving routes based on determined start and target route points based on a stored road network model; and

to determine a most economical route with regards to a minimized energy consumption;

wherein a road network model is stored on the at least one storage unit;

wherein the at least one data interface is configured to provide additional situation related data comprising environmental factors; and

wherein the user interface is configured to provide the most economical route.

11. Driving range optimizer according to claim 10, wherein the processor is configured to generate a graphical narrative of the predicted environment, which will be traversed;

and

wherein the user interface comprises a graphical display configured to show the graphical narrative.

12. Driving range optimizer according to claim 10 or 11, wherein it is further provided:

a processor as prediction server; and

a database of prediction variables;

wherein the second processor and the database are remotely located from a vehicle and are wirelessly connectable with the vehicle at least temporarily;

wherein, for creating route predictions according to said variables, the processor is so configured to;

communicate with internal and external systems;

receive route requests of many types in a plurality of formats;

describe the shortest, fastest, most power- (or fuel-) efficient route, or other route;

describe the potential power- (or fuel-) consumption associated with each route;

describe the potential variance in available range associated with each route;

describe geographic, commercial, social, environmental or other features en route;

consider a plurality of variables, in real time or historic form, comprising at least one of the group of;

historic consumption profile, traffic congestion, route geometry and typical speed, number of route stops and junctions, route gradient, wind direction and force, ambient light, time, date, location, precipitation, temperature, sunshine, humidity, dewpoint or fog, and on-board diagnostic data from the vehicle engine control unit;

deliver route responses of many types in a plurality of formats; and

render, store, reuse or purge data, or execute computer code.

13. A vehicle with a driving arrangement with a motor and motor driven wheels, the vehicle comprising;

an on-board energy storage with a storage level; and

a driving range optimizer according to one of the claim 10, 11 or 12;

wherein the driving range optimizer provides a driving route for an optimized driving range considering the storage level of the on-board energy storage.

14. Use of a driving range optimizer according to one of the claim 10, 11 or 12 in a passenger car.