Model-Based Predictive Control Applied to a Dual Regenerative and Hydraulic Brake System

A cooperative control strategy can improve the efficiency of the dual regenerative and hydraulic brake system of an electric vehicle. Considering delays and constraints for both actuators, model- based predictive control (MPC) is an attractive approach. Its prediction capability is used to adjust the optimal input sequence according to the future system variations predicted. Therefore, this asset can improve the control performances compared to common closed loop control methods (e.g., LQR optimal control, PID). Thus, this paper proposes a simulation framework to evaluate the implementation's feasibility of a blended MPC strategy applied to a vehicle dual brake system.

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