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This paper focuses on modeling of torque-biasing devices of a four-wheel-drive system used for improving vehicle stability and handling performance. The proposed driveline system is based on nominal front-wheel-drive operation with on-demand transfer of torque to the rear. The torque biasing components of the system are an electronically controlled center coupler and a rear electronically controlled limited slip differential. Kinematic modeling of the torque biasing devices is introduced including stage transitions during the locking stage and the unlocking/slipping stage. Analytical proofs of how torque biasing could be used to influence vehicle yaw dynamics are also included in the paper. A yaw control methodology utilizing the biasing devices is proposed. Finally, co-simulation results with Matlab®/Simulink® and CarSim® show the effectiveness of the torque biasing system in achieving yaw stability control.

Typical traction control systems based on brake intervention have the disadvantage of dissipating an amount of energy roughly equal to that spent in biasing the high-friction wheel. Fully locked differentials achieve the best possible longitudinal traction but, in situations such as slippery or split-friction (split-μ) surfaces, the lateral dynamics of the vehicle can be degraded and deviate from the driver's intended direction. This paper presents an active stability control strategy using electronic limited slip differentials to enhance the vehicle lateral dynamics while preserving longitudinal motion. The proposed control system includes stability enhancement of the traction control and yaw stability control. The stability-enhanced traction control is evaluated under the condition of straight-line full-throttle launching on a split-μ ice/snow surface. The experimental data show a significant stability improvement in a traction mode.

Vehicle rollover has the highest fatality rate among non-collision vehicle crashes. This paper introduces a control scheme with electronically controlled limited slip differential (ELSD) to prevent vehicle rollover. Although the analysis focuses on only an un-tripped and on-road scenario which is a small portion of vehicle rollover accidents, it intends to minimize the dynamic rollover propensity by meeting the National Highway Traffic Safety Administration's (NHTSA) fishhook test. A nonlinear model of planar vehicle dynamics with roll motion is analyzed, and the general characteristics of ELSD are presented. Based on that, a rollover mitigation algorithm is proposed. Finally, a computer simulation demonstrates the effectiveness of the rollover mitigation algorithm.