电动车续航里程的精准预估与优化是新能源汽车产业发展的关键课题，其结果受驾驶人驾驶特性、电池状态、环境因素及能量管理策略等多维度影响。本文以人工智能（Artificial Intelligence，AI）算法为核心，探讨其在电动车续航里程领域的应用，重点分析驾驶人驾驶特性对续航里程的影响及 AI 建模方法，梳理 AI 算法在续航里程预估中的技术发展，并结合相关案例阐述实际应用路径，最后展望该领域的挑战与未来方向，为电动车续航技术的优化提供参考。

The precise estimation and optimization of the driving range of electric vehicles is a key issue in the development of the new energy vehicle industry, which is influenced by multiple dimensions such as the driver's driving characteristics, battery states, environmental factors, and energy management strategies. This article takes AI algorithms as the core to explore their application in the field of electric vehicle driving range. It focuses on analyzing the impact of drivers' driving characteristics on driving range and AI modeling methods, sorts out the technological development of AI algorithms in driving range estimation, and elaborates on the practical application path through relevant cases. Finally, it looks forward to the challenges and future directions in this field, and provides a reference for the optimization of electric vehicle range technology.