VEHICLE SPEED, FUEL, AND REVENUE OPTIMIZER

• US 20130041621A1
• Filed: 08/17/2012
• Published: 02/14/2013
• Est. Priority Date: 07/18/2011
• Status: Abandoned Application

• Current Assignee: David Bartholomew Smith, Michael D. Smith
• Original Assignee: David Bartholomew Smith, Michael D. Smith
• Inventors: Smith, David B., Smith, Michael D.
• Application Number:
  US13/588,333
• Publication Number:
  US 20130041621A1
• Time in Patent Office: Days
• US Class Current: 702/142
• CPC Class Codes: B60K 2360/174 Economic driving
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: B60K 35/28 characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

Apparatus and methods are used to sense powered vehicle operating conditions, and compute and display to the operator the instant, most advantageous or optimum speed for conditions based on variable and fixed costs for that particular vehicle. Instead of the conventional or traditional display of fuel consumption relative to distance, the invention computes and displays the speed at which all cost factors result in optimal utilization of resources. If adhered to by the operator, either manually or through direct interface with vehicle speed control, this speed will provide the best balance between distance traveled per unit time with minimum negative impact from fixed and operating costs, resulting in minimum overall operating cost as well as maximum profit potential for the commercial operator. In addition, waste of valuable and limited-supply fossil fuel is minimized by encouraging avoidance of excessive speeds that waste fuel.

Claims

1. A system for determining optimum vehicle speed, comprising:

an input for receiving vehicle speed information and engine data;

a memory; and

a processor operative to perform the following functions;

a) receive the vehicle speed information and engine data, and automatically compute and store in the memory, steady-speed fuel consumption characteristics of the vehicle,

b) compute vehicle revenue and cost of operation as a function of the steady-speed fuel consumption characteristics, and

c) compute the optimum speed associated with the operation of the vehicle, the optimum speed being defined as the speed which maximizes net revenue or profitability.

2. The system of claim 1, further including a display for displaying information regarding the optimum speed to a vehicle operator.

3. The system of claim 1, wherein the processor is further operative to:

obtain the vehicle speed information and engine data on a regular and periodic basis,

compare the speed information to previously stored speed information to determine if the vehicle is operating at steady speed, accelerating, or decelerating, and

if the vehicle is operating at steady speed, compute the average speed of the vehicle and fuel flow.

4. The system of claim 3, wherein the processor is further operative to deter wine if the engine coolant is at normal operating temperature and emissions controls are operating normally.

5. The system of claim 3, wherein the processor is further operative to compute the average speed and fuel flow of the vehicle and store that average speed and fuel flow in a data table of speed and incremental fuel flow rate.

6. The system of claim 3, wherein the processor is further operative to compute the fuel flow of the vehicle at steady speed and level road in accordance with the expression:

steady speed fuel flow=a_3*S³+a_2*S²+a_1*S+a₀

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

7. The system of claim 3, wherein the processor is further operative to compute the instantaneous fuel flow for climbing or descending a grade according to the expression:

gradefuel coefficient=(actual fuel flow−

steady speed fuel flow)/speed

8. The system of claim 3, further including:

an input for receiving the current price of fuel; and

wherein the processor is further operative to compute the cost of fuel in dollars per hour by multiplying fuel flow by fuel price.

9. The system of claim 3, further including an input for receiving a tariff of revenue, and wherein the processor is further operative to compute gross revenue using the expression:

gross revenue=speed*tariff(S*T)

10. The system of claim 3, wherein the processor is further operative to compute fuel cost over time using the expression:

fuel ($/hr)=fuelprice*[a_3*S³+a_2*S²+(a₁gradefuel coefficient)_*S+a₀]

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

11. The system of claim 3, wherein the processor is further operative to compute net revenue using the expression:

net revenue(R)=S*T−

fuelprice*[a_3*S³+a_2*S²+(a₁+gradefuel coefficient)_*S+a₀]

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

12. The system of claim 3, wherein the processor is further operative to compute optimum speed using the expression:

optimum speed={[−

2a₂+√

[4a₂²−

4*3a₃*(a₁+gradefuel coefficient−

T/fuelprice)]}/(2*3a₃)

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

13. The system of claim 3, wherein the processor is further operative to determine if the vehicle is accelerating by comparing present speed to a previous speed and compute acceleration fuel efficiency using the expression:

acceleration fuel efficiency=(fuel−

steady speed fuel)/(delta speed)/speed.

14. A method of determining optimum vehicle speed, comprising the steps of:

receive vehicle speed information and engine data at a programmed processor;

automatically compute and store steady-speed fuel consumption characteristics of the vehicle,

automatically compute vehicle revenue and cost of operation as a function of the steady-speed fuel consumption characteristics,

automatically compute the optimum speed associated with the operation of the vehicle, the optimum speed being defined as the speed which maximizes net revenue or profitability; and

display information regarding the optimum speed to a vehicle operator.

15. The method of claim 14, further including the steps of:

obtaining the vehicle speed information and engine data on a regular and periodic basis,

comparing the speed information to previously stored speed information to determine if the vehicle is operating at steady speed, accelerating, or decelerating, and

if the vehicle is operating at steady speed, automatically compute the average speed of the vehicle and fuel flow.

16. The method of claim 14, further including the step of determining if the engine coolant is at normal operating temperature and emissions controls are operating normally.

17. The method of claim 14, further including the step of automatically computing the average speed and fuel flow of the vehicle and store that average speed and fuel flow in a data table of speed and incremental fuel flow rate.

18. The method of claim 14, further including the step of automatically computing the fuel flow of the vehicle at steady speed and level road in accordance with the expression:

steady speed fuel flow=a_3*S³+a_2*S²+a_1*S+a₀

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

19. The method of claim 14, further including the step of automatically computing the instantaneous fuel flow for climbing or descending a grade according to the expression:

gradefuel coefficient=(actual fuel flow−

steady speed Fuel flow)/speed

20. The method of claim 14, further including the step of automatically computing the cost of fuel in dollars per hour by multiplying fuel flow by fuel price.

21. The method of claim 14, further including the step of automatically computing gross revenue using the expression:

gross revenue=speed*tariff(S*T)

22. The method of claim 14, further including the step of automatically computing fuel cost over time using the expression:

fuel ($/hr)=fuelprice*[a_3*S³+a_2*S²+(a₁gradefuel coefficient)_*S+a₀]

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

23. The method of claim 14, further including the step of automatically computing net revenue using the expression:

net revenue(R)=S*T−

fuelprice*[a_3*S³+a_2*S²+(a₁+gradefuel coefficient)_*S+a₀]

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

24. The method of claim 14, further including the step of automatically computing optimum speed using the expression:

optimum speed={[−

2a₂+√

[4a₂²−

4*3a₃*(a₁+gradefuel coefficient−

T/fuelprice)]}/(2*3a₃)

where coefficients a3 through a0 are developed by standard statistical curve-fitting techniques of least-squares regression, or by selecting four points along a curve and solving four equations with four unknowns.

25. The method of claim 14, further including the step of automatically determining if the vehicle is accelerating by comparing present speed to a previous speed and compute acceleration fuel efficiency using the expression:

acceleration fuel efficiency=(fuel−

steady speed fuel)/(delta speed)/speed