This paper aims to develop a power assisted control system for E-bikes. The proposed approach combines a motor drive system with the sliding mode observer and adaptive control strategy to advance E-bike technology. The paper also establishes riding models that account for various environmental factors such as rider weights, road gradients, and wind speeds to ensure that the power assisted modes are well-suited to different riding conditions. In addition, the E-bike motor will utilize an adaptive sliding mode observer control algorithm in conjunction with the encoder and central shaft torque signals. This method enhances control accuracy during low-speed operation and reduces estimated torque ripple errors. Finally, the proposed method significantly improves the competitiveness of power assisted control systems.
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