Brake-by-wire system for passenger cars: A review of structure, control, key technologies, and application in X-by-wire chassis

Zhang, Lei; Wang, Qi; Chen, Jun; Wang, Zhen-Po; Li, Shao-Hua

doi:10.1016/j.etran.2023.100292

Cited by 5 publications

(1 citation statement)

References 70 publications

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“…Additionally, acquiring the necessary driving information is challenging, which restricts the adaptability of these methods across various braking conditions. The real-time capability-oriented CCSs achieve real-time coordinated control by employing various control strategies, including proportional integral derivative-based CCS (PID-CCS) [14,15], linear quadratic regulator-based CCS (LQR-CCS) [16,17], and model predictive controlbased CCS (MPC-CCS) [18][19][20]. In PID-CCS, the coordinated control of the RBS and ABS is achieved by tuning the parameters of the PID controller based on the vehicle state and control objectives.…”

Section: Introductionmentioning

confidence: 99%

RBS and ABS Coordinated Control Strategy Based on Explicit Model Predictive Control

Chu,

Li,

Guo

et al. 2024

Sensors

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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, improving the adaptiveness of the braking strategy across different driving conditions. In the online implementation, the developed three-dimensional eMPC control laws, corresponding to current driving conditions, are invoked, thereby enhancing the potential for real-time braking strategy implementation. Moreover, the state error compensator is integrated into eMPC-CCS, yielding a state gain matrix that optimizes the vehicle braking status and ensures robustness across diverse braking conditions. Lastly, simulation evaluation and hardware-in-the-loop (HIL) testing manifest that the proposed eMPC-CCS effectively coordinates the regenerative and hydraulic braking systems, outperforming other CCSs in terms of braking energy recovery and real-time capability.

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