Direct Yaw Control of an All-Wheel-Drive EV Based on Fuzzy Logic and Neural Networks Jovain Electrical Machines Company

Format:

Book

Conference/Event

Author/Creator:

Tahami, Farzad, author.

Conference Name:

SAE 2003 World Congress & Exhibition (2003-03-03 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2003

Summary:

A novel driver-assist stability system for all-wheel-drive Electric Vehicles is introduced. The system helps drivers maintain control in the event of a driving emergency, including heavy braking or obstacle avoidance. The system comprises a Fuzzy logic that independently controls wheel torques to prevent vehicle spin. A neural network is trained to generate the required yaw rate reference. Another Fuzzy system for each wheel controls the slip to ensure vehicle stability and safety. Furthermore a new vehicle speed estimator is employed for slip estimation. The intrinsic robustness of fuzzy controllers allows the system to operate in different road conditions successfully. Moreover, the ease to implement fuzzy controllers gives a potential for vehicle stability enhancement

Notes:

Vendor supplied data

Publisher Number:

2003-01-0956

Access Restriction:

Restricted for use by site license