With the rise of electric transportation, electric bicycles have become a popular choice for urban commuting. However, existing interfaces still present challenges in terms of information clarity and emotional engagement. This study investigates the application of generative AI technology to electric bicycle control interfaces, focusing on how dynamic information presentation and emotional intelligence impact user experience. Five bicycle models were tested across four riding scenarios to assess interface performance in areas such as ride smoothness, comfort, and the emotional resonance of information. Results indicate that current interfaces face issues like visual overload and inadequate contrast, particularly in battery and charge displays, which negatively affect user sentiment. Generative AI enhancements were shown to simplify content and improve clarity, thereby significantly improving user emotional response and engagement. Findings suggest that generative AI offers a promising approach to interface improvement, addressing both functional and emotional aspects of human-computer interaction in electric bicycles.