Optimal Torque Allocation for All-Wheel-Drive Electric Vehicles Using a Reinforcement Learning Algorithm

Keyphrases

• All-wheel Drive 100%
• Four Wheel 100%
• Optimal Torque 100%
• Electric Vehicle 100%
• Dynamic Stability 100%
• Torque Allocation 100%
• Reinforcement Learning Algorithm 100%
• Nonlinear Model 50%
• Low-level Controller 50%
• Linear Quadratic Regulator Controller 50%
• Tire 50%
• Oversteer 50%
• Average Torque 50%
• Vehicle Modeling 50%
• Enhanced Dynamics 50%
• Torque Distribution 50%
• Split Torque 50%
• Seven Degrees of Freedom 50%
• Deep Deterministic Policy Gradient Algorithm 50%
• Yaw Behaviour 50%
• Learning Algorithm 50%
• Control Method 50%
• Pacejka Magic Formula 50%
• 7-DOF 50%
• High-level Controllers 50%
• Reinforcement Learning 50%
• Enhanced Precision 50%
• Tire Model 50%
• Performance Improvement 50%
• Bicycle Model 50%
• Slippery Road 50%
• Performance Dynamics 50%
• Deep Deterministic Policy Gradient 50%
• Yaw Moment 50%
• Distribution Method 50%
• Two-degree-of-freedom 50%
• Reference Signal 50%
• Hierarchical Structure 50%
• Control Approach 50%
• Direct Yaw Moment Control 50%
• Understeer 50%

Engineering

• Dynamic Stability 100%
• Electric Vehicle 100%
• Reinforcement Learning 100%
• Drive Wheel 100%
• Degree of Freedom 50%
• Nonlinear Model 50%
• Understeer 50%
• Reference Signal 50%
• Magic Formula 50%
• Control Procedure 50%
• Two Degree of Freedom 50%
• Road 50%
• Oversteer 50%