Hierarchical coordinated control strategy for regenerative braking energy recuperation with an electrobooster

Abstract

To guarantee the braking performance and safety of electric vehicles (EVs) and to improve their regenerative energy performance, a regenerative braking recuperation control strategy based on hierarchical coordinated control of an electrohydraulic brake system (eBooster) is proposed in this paper. First, considering the EV braking system characteristics, the eBooster model, vehicle dynamics model and energy recuperation model are established. Then, a hierarchical coordinated control strategy (HCCS) is proposed, and the top-level controller based on model predictive control (MPC) reasonably coordinates the braking torque according to the control objectives and constraints. Additionally, as per the eBooster characteristics, the bottom-level controller adopts a double closed-loop controller to improve the control accuracy and response speed. Finally, verification in the Simulink/AMESim joint simulation environment shows that the eBooster and the HCCS enable combined regenerative and hydraulic braking, which improves brake safety and performance.

A Review of One-Box Electro-Hydraulic Braking System: Architecture, Control, and Application

“…Hongyan Guo et al [96] took the maximum energy recovery rate, braking safety, and braking force distribution as the control objectives and used the braking response capability and the external characteristics of the drive motor as the limiting conditions to design an upper-layer algorithm for braking force coordination based on MPC. The simula-Brake Pedal Travel Brake Force Distribution Brake Pedal Travel Brake Force Distribution Front hydraulic brake force Rear hydraulic brake force Regenerative brake force In addition, Junzhi Zhang et al [93][94][95] proposed a variety of methods for distributing braking force between the front and rear wheels of composite braking for similar mechanical configurations.…”

“…Hongyan Guo et al [96] took the maximum energy recovery rate, braking safety, and braking force distribution as the control objectives and used the braking response capability and the external characteristics of the drive motor as the limiting conditions to design an upper-layer algorithm for braking force coordination based on MPC. The simulation results show that this control method can maximize the energy recovery rate while ensuring braking safety.…”