A Vehicle State Detection Method Based on Estimated Aligning Torque Using EPS Mitsubishi Electric Corporation

Format:

Book

Conference/Event

Author/Creator:

Nakajima, Kenji, author.

Conference Name:

SAE 2005 World Congress & Exhibition (2005-04-11 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

This paper proposes a vehicle state detection method for improving the stability of vehicles equipped with electric power steering (EPS) and electronic stability control (ESC) systems. ESC is an effective vehicle stability control system that operates within a vehicle's stability limitations. Generally ESC uses a vehicle state signal such as yaw rate. To enhance the ESC function so that it can alleviate understeer, a process that is capable of detecting understeer is required. This concept motivated us to develop a vehicle state detection algorithm based on estimated self-aligning torque using EPS. It is well known that maximum self-aligning torque occurs before maximum cornering force is reached. We have confirmed that the proposed algorithm can detect understeer earlier than conventional means based on vehicle yaw rate. We have also implemented this algorithm in an ESC electronic control unit (ECU) and conducted an actual vehicle test to confirm that a reduction in turning radius is realized compared with that using conventional ESC

Notes:

Vendor supplied data

Publisher Number:

2005-01-1265

Access Restriction:

Restricted for use by site license