Device for determining the weight of a motor vehicle

• US 6,339,749 B1
• Filed: 01/25/1999
• Issued: 01/15/2002
• Est. Priority Date: 01/24/1998
• Status: Expired due to Term

• Current Assignee: Daimler AG (Mercedes-Benz Group AG)
• Original Assignee: DaimlerChrysler AG (Mercedes-Benz Group AG)
• Inventors: Rieker, Heinz, Schuetzner, Paul, Stoll, Josef
• Primary Examiner(s): Assouad, Patrick
• Assistant Examiner(s): Bui, Bryan
• Application Number:
  US09/236,224
• Time in Patent Office: 1,086 Days
• Field of Search: 702/173, 702/175, 702/176, 701/70, 701/80, 701/84, 701/90, 177/1-2, 177/136
• US Class Current: 702/173
• CPC Class Codes: B60T 2250/02 Vehicle mass
• CPC Class Codes: G01G 19/086 wherein the vehicle mass is dynamically estimated

Abstract

In a device for determining the weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, signals which correlate with a propulsive force and with a corresponding vehicle longitudinal acceleration are recorded with the aid of a sensing system during successive time intervals. Signals recorded at at least two points in time are used by a computer to produce a signal which correlates to the vehicle'"'"'s weight. To enhance the device'"'"'s accuracy, signals for the propulsive force and for the corresponding vehicle longitudinal acceleration are detected at successive points in time which follow one another at constant time intervals. The signals in a memory are stored, where they form a time sequence for the propulsive forces and the corresponding vehicle longitudinal accelerations. A plurality of successive stored signals of the time sequence are read from the memory and used to generate the signals that correlate to the current weight of the vehicle.

Claims

1. A device for determining a weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, comprising:

a microprocessor;

a memory coupled to the microprocessor; and

a sensing system coupled to the microprocessor;

wherein the microprocessor has stored therein a program for

causing the system continuously to detect, at successive points in time separated by regular periodic time intervals, measurement signals which correlate with said propulsive forces and with an associated vehicle longitudinal acceleration;

storing successively in the memory a first plurality of continuously detected measurement signals, said first plurality of signal forming in the memory a first time sequence for successive propulsive forces and a second time sequence for associated vehicle longitudinal accelerations;

reading out of said memory a second plurality of successively stored measurement signals from said first and second time sequences; and

computing an output signal that correlates with a current weight of the vehicle based on said second plurality of successively stored measurement signals;

wherein

the microprocessor processes the second plurality of successively stored measurement signals read from the memory according to a regression calculation to generate said output signal; and

the output signal for the current weight of the vehicle is a value calculated according to the equation $m_{\mathrm{Fzg}}=\frac{S_{\mathrm{bz}}-S_z*S_b<br><br>\left[-S_b\right]/N)}{S_{\mathrm{bb}}-S_b*S_b/N},$

 

with $S_b=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}},S_z=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}},S_{\mathrm{bb}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}·<br><br>b_{\mathrm{Fzgi}}<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{and}$$S_{\mathrm{bz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}·<br><br>Z_{\mathrm{TRLi}},$

Z_TRLi being a value from the first time sequence, and b_Fzgi being a value from the second time sequence.

2. The device according to claim 1, wherein a ring memory system is used to generate sum terms in which a current sum is reduced by an oldest summand from a respective time sequence and is increased by a youngest summand from the respective time sequence.

3. The device according to claim 1, wherein the continuously recorded signals correlate with the propulsive force which is formed from a pulling or braking force acting on the vehicle, minus a rolling resistance and minus an air resistance.

4. A device for determining a weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, comprising:

a microprocessor;

a memory coupled to the microprocessor; and

a sensing system coupled to the microprocessor;

wherein the microprocessor has stored therein a program for

causing the system continuously to detect, at successive points in time separated by regular periodic time intervals, measurement signals which correlate with said propulsive forces and with an associated vehicle longitudinal acceleration;

storing successively in the memory a first plurality of continuously detected measurement signals, said first plurality of signal forming in the memory a first time sequence for successive propulsive forces and a second time sequence for associated vehicle longitudinal accelerations;

reading out of said memory a second plurality of successively stored measurement signals from said first and second time sequences; and

computing an output signal that correlates with a current weight of the vehicle based on said second plurality of successively stored measurement signals;

wherein

the microprocessor processes the second plurality of successively stored measurement signals read from the memory according to a regression calculation to generate said output signal; and

a number of values in the first and second time sequences used for determining the output signal is selected such that a product of the number of values and the constant time interval between successive points in time produces a calculated time period which is longer than an oscillation period of an oscillation which has a lowest frequency in a drive train of the motor vehicle.

5. A device for determining a weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, comprising:

a microprocessor;

a memory coupled to the microprocessor; and

a sensing system coupled to the microprocessor;

wherein the microprocessor has stored therein a program for

causing the system continuously to detect, at successive points in time separated by regular periodic time intervals, measurement signals which correlate with said propulsive forces and with an associated vehicle longitudinal acceleration;

storing successively in the memory a first plurality of continuously detected measurement signals, said first plurality of signal forming in the memory a first time sequence for successive propulsive forces and a second time sequence for associated vehicle longitudinal accelerations;

reading out of said memory a second plurality of successively stored measurement signals from said first and second time sequences; and

computing an output signal that correlates with a current weight of the vehicle based on said second plurality of successively stored measurement signals;

wherein

the microprocessor processes the second plurality of successively stored measurement signals read from the memory according to a regression calculation to generate said output signal;

the continuously recorded signals correlate with the propulsive force which is formed from a pulling or braking force acting on the vehicle, minus a rolling resistance and minus an air resistance; and

a number of values in the first and second time sequences used for determining the output signal is selected such that a product of the number of values and the constant time interval between successive points in time produces a calculated time period which is longer than an oscillation period of an oscillation which has a lowest frequency in a drive train of the motor vehicle.

6. A device for determining a weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, comprising:

a microprocessor;

a memory coupled to the microprocessor; and

a sensing system coupled to the microprocessor;

wherein the microprocessor has stored therein a program for

causing the system continuously to detect, at successive points in time separated by regular periodic time intervals, measurement signals which correlate with said propulsive forces and with an associated vehicle longitudinal acceleration;

storing successively in the memory a first plurality of continuously detected measurement signals, said first plurality of signal forming in the memory a first time sequence for successive propulsive forces and a second time sequence for associated vehicle longitudinal accelerations;

reading out of said memory a second plurality of successively stored measurement signals from said first and second time sequences; and

computing an output signal that correlates with a current weight of the vehicle based on said second plurality of successively stored measurement signals;

wherein

the microprocessor processes the second plurality of successively stored measurement signals read from the memory according to a regression calculation to generate said output signal; and

prior to an evaluation of the output signal, the output signal is subjected to an acceptance test.

7. The device according to claim 6, wherein the acceptance test comprises a scatter of abscissa values which represent a value calculated according to an equation

8. The device according to claim 7, wherein a limiting value for the scatter of abscissa values is stored in the memory, and the evaluation of the output signal which correlates with the vehicle weight does not occur when the scatter of abscissa values is less than the limiting value.

9. The device according to claim 8, wherein the acceptance test comprises monitoring a correlation coefficient, said correlation coefficient representing a value calculated according to an equation $R^2=\frac{{\left(S_{\mathrm{bz}}-S_b*S_z/N\right)}^2}{\left(S_{\mathrm{bb}}-S_b*S_b/N\right)*\left(S_{\mathrm{zz}}-S_z*S_z/N\right)}$

wherein $S_b=\sum _{}^{}$

i=1N

bFzgi,Sz=∑

i=1N

ZTRLi,Sbb=∑

i=1N

bFzgi*bFzgi$S_{\mathrm{zz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}}*Z_{\mathrm{TRLi}},S_{\mathrm{bz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}*Z_{\mathrm{TRLi}}.$

Z_TRLi is a value from the first time sequence, and b_Fzgi is a value from the second time; and

the acceptance of the output signal increases with an increase of the correlation coefficient.

10. The device according to claim 6, wherein

the acceptance test comprises monitoring a correlation coefficient (R) representing a value calculated according to an equation $R^2=\frac{{\left(S_{\mathrm{bz}}-S_b*S_z/N\right)}^2}{\left(S_{\mathrm{bb}}-S_b*S_b/N\right)*\left(S_{\mathrm{zz}}-S_z*S_z/N\right)}$

 

wherein $S_b=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}},S_z=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}},S_{\mathrm{bb}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}*b_{\mathrm{Fzgi}}$$S_{\mathrm{zz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}}*Z_{\mathrm{TRLi}},S_{\mathrm{bz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}*Z_{\mathrm{TRLi}}.$

Z_TRLi is a value from the first time sequence, and b_Fzgi is a value from the second time; and

the acceptance of the output signal increases with an increase of the correlation coefficient.

11. A device for determining a weight of a motor vehicle which is being moved by propulsive forces in its longitudinal direction, comprising:

a microprocessor;

a memory coupled to the microprocessor; and

a sensing system coupled to the microprocessor;

wherein the microprocessor has stored therein a program for

causing the system continuously to detect, at successive points in time separated by regular periodic time intervals, measurement signals which correlate with said propulsive forces and with an associated vehicle longitudinal acceleration;

storing successively in the memory a first plurality of continuously detected measurement signals, said first plurality of signal forming in the memory a first time sequence for successive propulsive forces and a second time sequence for associated vehicle longitudinal accelerations;

reading out of said memory a second plurality of successively stored measurement signals from said first and second time sequences; and

computing an output signal that correlates with a current weight of the vehicle based on said second plurality of successively stored measurement signals;

wherein

the microprocessor processes the second plurality of successively stored measurement signals read from the memory according to a regression calculation to generate said output signal;

the continuously recorded signals correlate with the propulsive force which is formed from a pulling or braking force acting on the vehicle, minus a rolling resistance and minus an air resistance;

the acceptance test comprises monitoring a correlation coefficient representing a value calculated according to the equation $R^2=\frac{{\left(S_{\mathrm{bz}}-S_b*S_z/N\right)}^2}{\left(S_{\mathrm{bb}}-S_b*S_b/N\right)*\left(S_{\mathrm{zz}}-S_z*S_z/N\right)}$

 

with $S_b=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}},S_z=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}},S_{\mathrm{bb}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}*b_{\mathrm{Fzgi}},<br><br>S_{\mathrm{zz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>Z_{\mathrm{TRLi}}*Z_{\mathrm{TRLi}},S_{\mathrm{bz}}=\underset{i=1}{\overset{N}{\sum <br><br>}}<br><br>b_{\mathrm{Fzgi}}*Z_{\mathrm{TRLi}}.$

Z_TRLi being a value from the first time sequence, and b_Fzgi being a value from the second time; and

the acceptance of the output signal increases with an increase of the correlation coefficient.

12. The device according to claim 11, wherein a limiting value for the correlation coefficient is constantly calculated from previous acceptance signals and stored in the memory, and an evaluation of a currently generated output signal for the weight of the vehicle does not occur when the correlation coefficient is less than the limiting value.

13. The device according to claim 11, wherein the signal for the grade of the road represents a value calculated according to a system of equations, wherein Z_HAi=Z_TRLi−

m_Fzg*b_Fzgi=m_Fzg*g* sin (s_i), wherein Z_HAi is a descending force, g is an acceleration due to gravity, m_Fzg is the output signal, Z_TRLi is a value from the first time sequence, and b_Fzgi, is a value from the second time sequence and s_i is a current grade of the road.

14. The device according to claim 13, wherein successive signals for the grade of the road are smoothed via low-pass filtration.