With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly being used across diverse applications. Particularly, GenAI shows great potential in addressing challenges in the electric vehicle (EV) ecosystem ranging from charging management to cyber-attack prevention. In this paper, we specifically consider Internet of electric vehicles (IoEV) and we categorize GenAI for IoEV into four different layers namely, EV's battery layer, individual EV layer, smart grid layer, and security layer. We introduce various GenAI techniques used in each layer of IoEV applications. Subsequently, public datasets available for training the GenAI models are summarized. Finally, we provide recommendations for future directions. This survey not only categorizes the applications of GenAI in IoEV across different layers but also serves as a valuable resource for researchers and practitioners by highlighting the design and implementation challenges within each layer. Furthermore, it provides a roadmap for future research directions, enabling the development of more robust and efficient IoEV systems through the integration of advanced GenAI techniques.

翻译：随着生成式人工智能（GenAI）模型的进步，其能力已显著超越内容生成范畴，并日益广泛地应用于多样化场景。特别是在应对电动汽车（EV）生态系统中的挑战——从充电管理到网络攻击防护——方面，GenAI展现出巨大潜力。本文聚焦于电动汽车互联网（IoEV），将GenAI在IoEV中的应用划分为四个层级：电动汽车电池层、单体电动汽车层、智能电网层及安全层。我们系统介绍了各层级IoEV应用中采用的不同GenAI技术，随后汇总了可用于训练GenAI模型的公开数据集，最后对未来发展方向提出建议。本综述不仅从多层级视角对GenAI在IoEV中的应用进行了分类梳理，还通过揭示各层级的设计与实施挑战，为研究者和实践者提供了重要参考。此外，本文提出的未来研究方向路线图，将推动通过集成先进GenAI技术构建更稳健高效的IoEV系统。