Method and device for estimating the interval which contains the total weight of a motor vehicle

• US 10,077,057 B2
• Filed: 12/02/2014
• Issued: 09/18/2018
• Est. Priority Date: 12/03/2013
• Status: Active Grant

• Current Assignee: Renault Sas (Renault)
• Original Assignee: Renault Sas (Renault)
• Inventors: Pita-Gil, Guillermo, Granato, Giovanni
• Primary Examiner(s): Breene, John
• Assistant Examiner(s): Islam, Mohammad
• Application Number:
  US15/101,833
• Publication Number:
  US 20160375909A1
• Time in Patent Office: 1,386 Days
• 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. A method for estimating an interval within which a 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 a wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision, the wrong interval being an interval other than the interval within which the total weight of the vehicle is situated;

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

controlling at least one of an adjustment of shock-absorber system and an orientation lighting system of the vehicle in response to the determined interval within which the total weight of the vehicle is situated.

2. The estimation method as claimed in claim 1, in which, the calculating the probabilities includes defining a set of estimations of weights using a database containing driving profiles, calculating the probability that a value from the set of estimations of weights is situated in the first situation, calculating the probability that a value from the set of estimations 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.

3. The estimation method as claimed in claim 2, in which algorithm is used based on Bayes theorem in order to obtain the probabilities of being in the first or second situation knowing the value of the weight.

4. The estimation method as claimed in claim 1, in which the risk is calculated as a function of a value of instantaneous mass.

5. The estimation method as claimed in claim 1, in which the risk is calculated as a function of a set of estimated values of instantaneous mass.

6. The estimation method as claimed in claim 1, in which the interval within which the total weight of the vehicle is situated is determined by comparing the risks and by choosing a lowest risk.

7. The estimation method as claimed in claim 1, in which the controlling of the shock-absorber system includes adjusting a stiffness of the shock-absorber system.

8. The estimation method as claimed in claim 1, in which the controlling of the light system includes orienting a beam of the lighting system.

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

processing circuitry configured 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;

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

calculate a risk of choosing a wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision, the wrong interval being an interval other than the interval within which the total weight of the vehicle is situated;

determine the interval within which the total weight of the vehicle is situated as a function of the risk; and

instruct a controller of at least one of an adjustment shock-absorber system and an orientation lighting system of the vehicle in response to the determined interval within which the total weight of the vehicle is situated.

10. The estimation device as claimed in claim 9, in which the processing circuitry is further configured, to:

determine a set of estimations of weights using a database containing driving profiles; and

calculate the probability that a value from the set of estimations of weights is situated in the first situation, the probability that a value from the set of estimations 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.

11. The estimation device as claimed in claim 10, in which the processing circuitry is further configured to:

apply an algorithm using Bayes theorem.

12. The estimation device as claimed in claim 9, in which the risk is calculated as a function of a set of estimated values of instantaneous mass.