This paper conducts an in-depth study on anti-lock braking technology in electronic hydraulic braking systems, focusing on a road-surface recognition algorithm based on fitted curves and a slip-rate control method based on sliding-mode variable structure. Firstly, a road-surface recognition algorithm using fitted curves is proposed, which extracts characteristic information by fitting the μ-λ curve, achieving the accurate identification of different road-surface conditions and providing optimal slip rates for subsequent braking control. Secondly, a slip-rate control strategy based on sliding-mode variable structure is designed to achieve optimal slip-rate control during vehicle braking, ensuring braking stability and safety under varying road conditions. Through theoretical analysis and simulation experiments, the results show that the proposed road-surface recognition algorithm can effectively identify various typical road surfaces (such as dry, wet, and icy/snowy surfaces) with high accuracy. The sliding-mode variable-structure control strategy can achieve good slip-rate control under different road conditions, effectively improving vehicle braking performance. This study provides an efficient and reliable technical solution for anti-lock braking control in electronic hydraulic braking systems, with significant theoretical and practical implications for enhancing vehicle braking safety.

The brake-by-wire system is a fundamental and critical component of intelligent electric vehicles. Achieving precise actuator motor response is essential for brake-by-wire braking performance. To address this issue, this article proposes a fuzzy sliding-mode control method for a dual-motor electro-hydraulic braking system. An innovative model of the braking system is established, incorporating the motor, deceleration mechanism, brake master cylinder, brake wheel cylinder, and hydraulic system. Firstly, dynamic models for the permanent magnet synchronous motor (PMSM), the reduction mechanism, the brake master cylinder, and the brake wheel cylinder are developed. Subsequently, the feasibility of the redundant structure is verified. Finally, a novel composite convergence law-based fuzzy adaptive sliding mode control (SMC) method is designed. Simulation results demonstrate that this approach effectively reduces motor response time and enhances braking performance.