The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 13, 2018

Filed:

Jul. 11, 2014
Applicant:

C.r.f. Societa' Consortile Per Azioni, Orbassano, IT;

Inventor:

Enrico Raffone, Orbassano, IT;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/076 (2012.01); G01C 9/08 (2006.01); G01G 19/08 (2006.01); B60W 40/13 (2012.01); B60G 17/019 (2006.01); B60T 8/172 (2006.01); B60T 8/18 (2006.01); F16H 59/52 (2006.01); F16H 59/66 (2006.01); F16H 61/00 (2006.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
B60W 40/076 (2013.01); B60G 17/01908 (2013.01); B60T 8/172 (2013.01); B60W 40/13 (2013.01); G01C 9/08 (2013.01); G01G 19/08 (2013.01); G01G 19/086 (2013.01); B60G 2400/60 (2013.01); B60G 2400/61 (2013.01); B60G 2400/63 (2013.01); B60T 8/18 (2013.01); B60T 2250/02 (2013.01); B60W 2050/0059 (2013.01); B60W 2510/0657 (2013.01); B60W 2520/10 (2013.01); B60W 2520/105 (2013.01); B60W 2530/10 (2013.01); B60W 2530/16 (2013.01); B60W 2550/142 (2013.01); B60W 2720/106 (2013.01); F16H 59/52 (2013.01); F16H 2059/663 (2013.01); F16H 2061/0078 (2013.01);
Abstract

Automotive electronic control unit programmed to realtime estimate either or both of vehicle mass and road slope, wherein; a. road slope, is estimated; a1. when vehicle is considered stopped based on an accelerometer signal indicative of vehicle acceleration, wherein the vehicle is considered stopped in the presence of substantially zero values of a speed signal indicative of vehicle speed, and a2. when vehicle is in rectilinear and curvilinear motion by implementing a road slope observer based on a linear Kalman filter, which is designed to: a21. operate based on signals indicative of vehicle speed and acceleration, and a22. compensate for accelerometric disturbances due to; a221. vehicle static pitch resulting from vehicle load distribution, and a222. vehicle dynamic pitch due to acceleration to which vehicle is subjected during motion, and a223. accelerometric disturbance components due to vehicle lateral dynamics; b. vehicle mass is estimated: b1. when vehicle is in motion, and b2. based on a recursive least square algorithm with forgetting factor, and b3. based on an accelerometric signal indicative of vehicle acceleration, on a vehicle speed signal, and other signals representing a vehicle propulsive/resistive torque, and b4. at different low gears, to provide a mass estimation and an associated variance for each gear, and b5. based on mass estimations and corresponding variances for each gear, and b6. compensating for accelerometer disturbances due to: b61, vehicle dynamic pitch; and b62. accelerometric disturbance components due to vehicle lateral dynamics; and b7. minimizing uncertainties on propulsive/resistive torque due to gear efficiency and rolling resistance.


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