ABS Control System Design for Electric Bikes Based on Wheel Acceleration: A Conjugate Boundary and Genetic Algorithm Approach

This thesis aims to design a high-performance anti-lock braking control system for electric bikes to enhance rider safety and improve the maneuverability of bikes under various road conditions, addressing a significant gap in low-cost active safety solutions for this rapidly growing mode of transportation. A conjugate boundary method is used as the control strategy, which offers the distinct advantage of relying only on wheel acceleration data, thereby eliminating the need for expensive vehicle speed or inertial measurement sensors. A simulation model of the E-bike, integrating both longitudinal and vertical dynamics, was developed in MATLAB/Simulink to represent braking behavior. To overcome the challenge of tuning the CBM's parameters, a Genetic Algorithm (GA) was employed to automatically optimize the controller. The simulation results demonstrate the effectiveness and robustness of the designed control system across a range of conditions, including dry, wet, snowy, and icy roads. This approach provides a practical solution for E-bikes that lack advanced sensors. In future work, the proposed ABS control system will be integrated into a real commercial electric bike to enhance performance and safety.