Why is Model Predictive Control (MPC) used for EV torque vectoring in Simulink?

support - 2026-08-01T15:24:21+05:30

Question: Why is Model Predictive Control (MPC) used for EV torque vectoring in Simulink?

Explanation of using Model Predictive Control (MPC) for dual-motor EV torque distribution and battery optimization in Simulink.

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Expert Answer

John Michell answered . 2026-08-01

Dual-motor electric vehicles require independent torque distribution between front and rear axles to optimize vehicle stability and energy efficiency.

Model Predictive Control (MPC) is preferred in Simulink because it solves a multi-objective optimization problem at each time step while enforcing strict hardware limits:

• Constraint Handling: Prevents motor over-torque, tire slip, and excessive battery discharge.
• Efficiency Optimization: Balances power split dynamically between drive motors, extending total battery range by up to 8–12%.
• Handling & Traction: Adjusts yaw moments in real time during aggressive cornering or slippery road conditions.

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