SYSTEM AND METHOD FOR ECO DRIVING OF ELECTRIC VEHICLE

• US 20130151046A1
• Filed: 08/09/2012
• Published: 06/13/2013
• Est. Priority Date: 12/09/2011
• Status: Abandoned Application

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group), Kia Motors Corporation (Kia Corp.)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group), Kia Motors Corporation (Kia Corp.)
• Inventors: Choi, Seunggil, Lee, Jeong Woo, Kee, Jung Do, Yang, Chae Mo
• Application Number:
  US13/570,621
• Publication Number:
  US 20130151046A1
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60L 1/02 to electric heating circuits
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/642 Slope of road
• CPC Class Codes: B60L 2240/645 Type of road
• CPC Class Codes: B60L 2240/68 Traffic data
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 2250/18 by enquiring driving style
• CPC Class Codes: B60L 2250/26 by pedal actuation
• CPC Class Codes: B60L 2260/52 drive range estimation, e.g. of estimation of available travel distance
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 2270/12 of exhaust
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G08G 1/096827 where the route is computed onboard
• CPC Class Codes: G08G 1/096838 where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: Y02T 10/72 Electric energy management in electromobility
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

An eco driving system for an electric vehicle and a method thereof is disclosed. The eco driving system may include: a route generator that generates at least one candidate route from a current position to a destination; an information collector that collects real time traffic information, weather information, and an air conditioning load of the vehicle; an energy consumption amount calculator that calculates energy consumption amount of each candidate route based on 3D geographical information of the candidate route and the real time traffic information, the weather information, and the air conditioning load of the vehicle; a driver tendency detector that analyzes a driver'"'"'s driving pattern to determine the driving tendency; a data base portion that stores each program and data for guiding the eco driving; and a control portion that selects an echo driving route from the candidate routes corresponding to the driving tendency.

Claims

1. An eco driving system for an electric vehicle, comprising:

a route generator that generates at least one candidate route from a current position to a destination of the vehicle;

an information collector that collects real time traffic information, weather information, and an air conditioning load of the vehicle;

an energy consumption amount calculator that an calculates energy consumption amount of each candidate route based on 3D geographical information of each candidate route and the real time traffic information, the weather information, and the air conditioning load of the vehicle;

a driver tendency detector that analyzes a driver'"'"'s driving pattern according to an operation of the electric vehicle to detect the driving tendency;

a data base portion that stores each program and data for guiding the eco driving; and

a control portion that selects an eco driving route from the at least one candidate route that corresponds to the driving tendency for guiding the electric vehicle.

2. The eco driving system of claim 1, wherein the route generator divides the 3D geographical information by a predetermined unit to the destination per candidate route.

3. The eco driving system of claim 1, wherein the energy consumption amount calculator includes:

a kinetic calculation module that calculates a kinetic energy consumption amount based on 3D coordinates (X, Y, Z), road curvature information, and slope information that are included in the 3D geographical information, traffic schedule information, and the real time traffic information;

a driving resistance calculation module that calculates a vehicle energy consumption amount corresponding to a road surface condition and a wind load based on road surface, wind direction, and wind speed information of the weather information; and

an air conditioning load calculation module that calculates an energy consumption amount according to the air conditioning load amount of the vehicle air conditioning system.

4. The eco driving system of claim 3, wherein the traffic schedule information includes traffic signal and speed limit information on each of the candidate routes.

5. The eco driving system of claim 1, wherein the driver tendency detector includes at least one of:

an accelerator speed calculation module that calculates frequency and speed at which the driver operates an accelerator pedal;

a steering speed calculation module that calculates frequency and speed at which the driver operates a steering wheel;

a brake speed calculation module that calculates frequency and speed at which the driver operates a brake pedal; and

a driving pattern determination module that compares the calculated frequency and speed of the accelerator pedal, the steering wheel, and the brake pedal with base frequency and speed data and determines whether the tendency of the driver is aggressive, normal, or defensive.

6. The eco driving system of claim 1, wherein the control portion predicts a travel energy consumption amount and a minimum energy condition of each the candidate routes to generate at least one eco driving route that reduces energy consumption of the electric vehicle in a real road travel condition, and categorizes the at least one eco driving route as a dynamic path, a normal path, or a mild path.

7. The eco driving system of claim 6, wherein the control portion selects the dynamic path if the driving tendency of the driver is aggressive, selects the normal path if the driving tendency is general, and selects the mild path as an eco driving route if the driving tendency is mild.

8. The eco driving system of claim 1, wherein the data base portion stores the 3D geographical information and driving information according to eco driving use history of the driver.

9. The eco driving system of claim 1, wherein an input and output display portion, configured and arranged to perform input and output through a touch screen, displays an eco routing menu for the electric vehicle and receives the destination for generating a route.

10. A method for guiding an eco driving of an electric vehicle, comprising:

a) generating at least one candidate route from a current position to a destination of an electric vehicle through a route generator;

b) collecting real time traffic information, weather information, and a vehicle air conditioning load amount thorough an information collector;

c) calculating an energy consumption amount of each candidate route based on 3D geographical information, real time traffic information, weather information, and a vehicle air conditioning load amount of each candidate route through an energy consumption amount calculator;

d) analyzing a driving pattern according to the driver'"'"'s operation of the electric vehicle to detect a driving tendency through a driver tendency detector; and

e) selecting a candidate route matching the driving tendency of the driver among candidate routes and guiding an eco driving route for the electric vehicle through a control portion.

11. The method of claim 10, wherein the a) step includes selecting the 3D geographical information from a previous driving route through the route generator if candidate information is in a stored driving route, or generates 3D geographical information of the candidate route through an ADAS (advanced driver assistance system) map if the candidate information is not in a stored driving route.

12. The method of claim 10, wherein the c) step includes:

calculating a kinetic energy consumption amount based on 3D coordinates (X, Y, Z), curvature information, slope information, and traffic schedule information included in the 3D geographical information and the real time traffic information;

calculating a vehicle energy consumption amount according to a road surface condition and a wind load based on a road surface, a wind direction, and wind speed information included in the weather information; and

calculating an energy consumption amount according to the air conditioning load amount of a vehicle air conditioning system.

13. The method of claim 10, wherein the d) step includes:

calculating frequency and speed at which the driver operates an accelerator pedal;

calculating frequency and speed at which the driver operates a steering wheel;

calculating frequency and speed at which the driver operates a brake pedal; and

comparing the calculated frequency and speed that the driver operates the accelerator pedal, the steering wheel, and the brake pedal with predetermined base frequency and speed data, and determining whether the driving tendency is aggressive, normal, or defensive.

14. The method of claim 10, wherein the e) step includes generating at least one eco driving route for reducing energy consumption of the electric vehicle, and includes categorizing each eco driving route as a dynamic path, a normal path, or a mild path.

15. The method of claim 14, wherein the e) step includes selecting one of the dynamic route, the normal route, and the mild route as the eco driving route corresponding to the driving tendency of aggressive, normal, or defensive.

16. A non-transitory computer readable medium containing program instructions executed by a processor or controller, the computer readable medium comprising:

program instructions that provide a command to generate at least one candidate route;

program instructions that provide a command to collect real time traffic information, weather information, and a vehicle air conditioning load amount;

program instructions that provide a command to calculate an energy consumption amount of the at least one candidate route;

program instructions that provide a command to analyze a driving pattern; and

program instructions that provide a command to select a candidate route.