MPC BASED TORQUE ALLOCATION STRATEGY TO ENHANCE THE PERFORMANCE OF A REGENERATIVE BRAKING SYSTEM CONSIDERING HALF SHAFT VIBRATION

Control allocation;Regenerative Brake;Model predictive control allocation;Vibration control;Anti lock brake;Automotive Systems Engineering;Automotive Systems Engineering, College of Engineering and Computer Science

Naik, Bhushan ShirishKang, HongTae ;

University of Michigan

关键词: Control allocation;    Regenerative Brake;    Model predictive control allocation;    Vibration control;    Anti lock brake;    Automotive Systems Engineering;    Automotive Systems Engineering, College of Engineering and Computer Science;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/136062/DEVELOPMENT%20OF%20A%20MODEL%20PREDICTIVE%20CONTROL%20BASED%20TORQUE%20ALLOCATION%20STRATEGY%20FOR%20A%20REGENERATIVE%20BRAKING%20SYSTEM%2c%20DURING%20ANTI-LOCK%20BRAKE%20SYSTEM%20OPERATION.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

A regenerative brake system is widely used in the automotive industry mainly due to its abilityfor energy recovery. Since an electric motor used in the regenerative brake has a faster torque response compared to that of the hydraulic system, it can be applicable for various applications in the area of active safety systems, especially brake control applications. However, due to its actuation limitations, it cannot be independently used for all braking scenarios, and require to be used in combination with the conventional hydraulic brakes. In this work, a multi-objective brake torque allocation method using model predictive control is proposed. The proposed strategy has two objectives: bandwidth based torque allocation, and reduction in drive shaft vibrations. In order to show the effectiveness of the proposed control strategy, a simulation model with a single wheel and a five phase anti-lock brake system has been developed. This simulation study is then extended with a full vehicle model in Carsim software. The simulation results show that vehicle stopping distance and drive shaft vibrations are reduced by using the proposed control strategy.