METHOD AND DEVICE FOR ESTIMATING THE INTERVAL WHICH CONTAINS THE TOTAL WEIGHT OF A MOTOR VEHICLE

• US 20160375909A1
• Filed: 12/02/2014
• Published: 12/29/2016
• Est. Priority Date: 12/03/2013
• Status: Active Grant

• Current Assignee: Renault Sas (Renault)
• Original Assignee: Renault Sas (Renault)
• Inventors: PITA-GIL, Guillermo
• Granted Patent: US 10,077,057 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60W 2400/00 Indexing codes relating to detected, measured or calculated conditions or factors
• CPC Class Codes: B60W 40/13 Load or weight
• CPC Class Codes: G01G 19/02 for weighing wheeled or rolling bodies, e.g. vehicles
• CPC Class Codes: G01G 19/086 wherein the vehicle mass is dynamically estimated

Abstract

A method for estimating the interval within which the total weight of an automobile vehicle is situated includes defining at least two intervals of weights, including determining a first situation in which the total weight of the vehicle belongs to the first interval and a second situation in which the total weight of the vehicle belongs to the second interval, calculating probabilities of being in the first or second situation knowing a value of the weight, calculating a risk of choosing the wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision, and determining the interval within which the total weight of the vehicle is situated as a function of the risk.

Claims

1-10. -10. (canceled)

11. A method for estimating the interval within which the total weight of an automobile vehicle is situated, comprising:

defining at least two intervals of weights, including determining a first situation in which the total weight of the vehicle belongs to the first interval and a second situation in which the total weight of the vehicle belongs to the second interval;

calculating probabilities of being in the first or second situation knowing a value of the weight;

calculating a risk of choosing the wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision; and

determining the interval within which the total weight of the vehicle is situated as a function of the risk.

12. The estimation method as claimed in claim 11, in which, the calculating the probabilities includes defining a set of estimations of weight using a database containing driving profiles, calculating the probability that a value from the set of weights is situated in the first situation, calculating the probability that a value from the set of weights is situated in the second situation, determining the probabilities of being in the first or second situation, and calculating the probability of finding a value of weight in all situations for all types of driving.

13. The estimation method as claimed in claim 12, in which an algorithm is used based on the Bayes theorem in order to obtain the probabilities of being in the first or second situation knowing a value of the weight.

14. The estimation method as claimed in claim 11, in which the risk is calculated as a function of the value of instantaneous mass.

15. The estimation method as claimed in claim 11, in which the risk is calculated as a function of the set of the estimated values of instantaneous mass.

16. The estimation method as claimed in claim 11, in which the interval within which the total weight of the vehicle is situated is determined by comparing the risks and by choosing the lowest risk.

17. A device for estimating the interval within which the total weight of an automobile vehicle is situated, comprising:

a module to determine at least two intervals of weights, including a first situation in which the total weight of the vehicle belongs to the first interval and a second situation in which the total weight of the vehicle belongs to the second interval;

a module to calculate the probabilities of being in the first or second situation knowing a value of the weight;

a module to calculate a risk of choosing the wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision; and

a module to determine the interval within which the total weight of the vehicle is situated as a function of the risk.

18. The estimation device as claimed in claim 17, in which the module to calculate the probabilities comprises a module to determine a set of estimations of weight using a database containing driving profiles and a calculation module to calculate the probability that a value from the set of weights is situated in the first situation, the probability that a value from the set of weights is situated in the second situation, the probabilities of being in the first or second situation and the probability of finding a value of weight in all situations for all types of driving.

19. The estimation device as claimed in claim 18, in which the module to calculate the probabilities comprises a module to apply an algorithm using the Bayes theorem.

20. The estimation device as claimed in claim 17, in which the risk is calculated as a function of the set of the estimated values of instantaneous mass.