RBS and ABS Coordinated Control Strategy Based on Explicit Model Predictive Control
Liang Chu, Jinwei Li, Zhiqi Guo, Zewei Jiang, Shibo Li, Weiming Du, Yilin Wang, Chong Guo

TL;DR
This paper introduces a new control strategy for electric vehicle braking systems that improves coordination between regenerative and hydraulic braking.
Contribution
The novel eMPC-CCS strategy enhances real-time braking performance and energy recovery by combining offline and online control methods.
Findings
The eMPC-CCS strategy outperforms existing methods in braking energy recovery.
The proposed control framework improves real-time capability during braking.
Simulation and HIL testing confirm the robustness of the eMPC-CCS across diverse conditions.
Abstract
During the braking process of electric vehicles, both the regenerative braking system (RBS) and anti-lock braking system (ABS) modulate the hydraulic braking force, leading to control conflict that impacts the effectiveness and real-time capability of coordinated control. Aiming to enhance the coordinated control effectiveness of RBS and ABS within the electro-hydraulic composite braking system, this paper proposes a coordinated control strategy based on explicit model predictive control (eMPC-CCS). Initially, a comprehensive braking control framework is established, combining offline adaptive control law generation, online optimized control law application, and state compensation to effectively coordinate braking force through the electro-hydraulic system. During offline processing, eMPC generates a real-time-oriented state feedback control law based on real-world micro trip segments,…
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Taxonomy
TopicsHistorical Art and Architecture Studies
