Wheel Torque Distribution of Four-Wheel-Drive Electric Vehicles Based on Multi-Objective Optimization

The wheel driving torque on four-wheel-drive electric vehicles (4WDEVs) can be modulated precisely and continuously, therefore maneuverability and energy-saving control can be carried out at the same time. In this paper, a wheel torque distribution strategy is developed based on multi-objective optimization to improve vehicle maneuverability and reduce energy consumption. In the high-layer of the presented method, sliding mode control is used to calculate the desired yaw moment due to the model inaccuracy and parameter error. In the low-layer, mathematical programming with the penalty function consisting of the yaw moment control offset, the drive system energy loss and the slip ratio constraint is used for wheel torque control allocation. The programming is solved with the combination of off-line and on-line optimization to reduce the calculation cost, and the optimization results are sent to motor controllers as torque commands. Co-simulation based on MATLAB ® and Carsim ® proves that the developed strategy can both improve the vehicle maneuverability and reduce energy consumption.

[1]  Aldo Sorniotti,et al.  Optimal Wheel Torque Distribution for a Four-Wheel-Drive Fully Electric Vehicle , 2013 .

[2]  Yan Chen,et al.  Design and Experimental Evaluations on Energy Efficient Control Allocation Methods for Overactuated Electric Vehicles: Longitudinal Motion Case , 2014, IEEE/ASME Transactions on Mechatronics.

[3]  Xuewu Ji,et al.  Nonlinear robust control of integrated vehicle dynamics , 2012 .

[4]  Shin-ichiro Sakai,et al.  Motion control in an electric vehicle with four independently driven in-wheel motors , 1999 .

[5]  Hongwen He,et al.  An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control , 2014 .

[6]  Yan Chen,et al.  Energy-efficient control allocation with applications on planar motion control of electric ground vehicles , 2011, Proceedings of the 2011 American Control Conference.

[7]  Yoichi Hori,et al.  Control Algorithm for an Independent Motor-Drive Vehicle , 2010, IEEE Transactions on Vehicular Technology.

[8]  Jun Wang,et al.  Motor torque based vehicle stability control for four-wheel-drive electric vehicle , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[9]  Junmin Wang,et al.  Coordinated and Reconfigurable Vehicle Dynamics Control , 2009, IEEE Transactions on Control Systems Technology.

[10]  Francesco Borrelli,et al.  MPC-based yaw and lateral stabilisation via active front steering and braking , 2008 .

[11]  Languang Lu,et al.  Energy efficiency optimization of electric vehicle driven by in-wheel motors , 2013 .

[12]  Michael J. Todd,et al.  Mathematical programming , 2004, Handbook of Discrete and Computational Geometry, 2nd Ed..

[13]  Patrick Gruber,et al.  Wheel Torque Distribution Criteria for Electric Vehicles With Torque-Vectoring Differentials , 2014, IEEE Transactions on Vehicular Technology.

[14]  Kazuyuki Okada,et al.  IMPROVEMENT OF VEHICLE HANDLING BY NONLINEAR INTEGRATED CONTROL OF FOUR WHEEL STEERING AND FOUR WHEEL TORQUE , 1999 .

[15]  Y. Hori,et al.  Optimum traction force distribution for stability improvement of 4WD EV in critical driving condition , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[16]  Xunmin Ou,et al.  Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model , 2014 .

[17]  Junmin Wang,et al.  Development and performance characterization of an electric ground vehicle with independently actuated in-wheel motors , 2011 .

[18]  Ali Khaki-Sedigh,et al.  Adaptive Vehicle Lateral-Plane Motion Control Using Optimal Tire Friction Forces With Saturation Limits Consideration , 2009, IEEE Transactions on Vehicular Technology.

[19]  Mohammad Haeri,et al.  Constrained tracking control for nonlinear systems. , 2017, ISA transactions.