Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 65, Issue 6, Pages 4726-4739Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2016.2526663
Keywords
Electric vehicle; electronic stability control (ESC); independent drive; in-wheel motor; torque distribution
Categories
Funding
- National Natural Science Foundation of China [51475045]
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An electronic stability control ( ESC) algorithm is proposed for a four in-wheel motor independent-drive electric vehicle ( 4MIDEV) utilizing motor driving and regenerative braking torque distribution control to improve vehicle stability. A stability judgment controller, an upper level controller, and a torque distribution algorithm are designed for the ESC system. The stability judgment controller is designed to generate the desired yaw rate and sideslip angle for vehicle stability, and the control mode, which is normal driving mode or ESC mode, is set according to the driver inputs and measurement signal inputs. The upper level controller consists of a speed tracking controller, a yaw moment controller, and four wheel-slip controllers to calculate the desired value of traction force, the desired value of yaw moment, and the four respective net torque inputs of the four in-wheel motors. The torque distribution algorithm is designed to generate each motor driving torque or regenerative braking torque input for each wheel. An average torque distribution strategy, a tire-dynamic-load-based torque distribution strategy, and a minimum-objective-function-based optimal torque distribution strategy are used separately in the torque distribution algorithm to control the motor driving torque or regenerative braking torque for vehicle stability enhancement. The proposed ESC algorithm was implemented and evaluated in a CarSim vehicle model and a MATLAB/Simulink control model. The three proposed torque distribution strategies can be used to regulate the vehicle to perform the following tasks: single lane change, double lane change, and snake lane change. The simulation studies show that the yaw rate error root mean square [RMS(gamma-gamma(-des))] decreased, on average, by 75 percent using the proposed optimal torque distribution algorithm compared with that without using stability control.
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