More than ever, the automotive industry is shifting towards electric vehicles since environmental and sustainability concerns are becoming important to potential customers. Nowadays, automakers are also integrating connectedness and autonomous components in their produced vehicles to reduce time of travel and increase the safety of the drivers, passengers, vehicles and the whole transportation system. The popularity of Connected and Autonomous Electric Vehicles (CAEVs) led to a growing interest in their development with careful focus on performance and quality aspects. In modern terms, Quality of Experience (QoE) covers important system, context, and human influencing factors that can drive improvements in the field. A rigorous survey of the literature revealed that QoE influencing factors and performance indicators are neither thoroughly identified, classified, nor modeled in an embracing framework that can be embedded in applications. In addition, QoE investigations are usually focused on specific CAEV subsystems and a broad addressing is practically non-existing. In this paper, the literature is explored for important performance aspects of CAEVs. Recent advances are critically appraised, challenges and gaps are identified, and improvements are carefully proposed. To this end, a thorough taxonomy is developed for QoE in CAEVs with a rich set of quality indicators and a framework that facilitates the integration of QoE concepts in system development. The presented contributions are expected to guide, enable, support, and accelerate future developments in the field.

由于对环境和可持续性的关注对于潜在客户越来越重要，因此汽车行业比以往任何时候都更倾向于电动汽车。如今，汽车制造商还在其生产的车辆中集成了连通性和自动驾驶组件，以减少出行时间并提高驾驶员，乘客，车辆和整个运输系统的安全性。联网和自动驾驶电动汽车（CAEV）的流行导致人们对其开发的兴趣日益浓厚，并特别关注性能和质量方面。用现代的术语来说，体验质量（QoE）涵盖了可以推动该领域改进的重要系统，环境和人为因素。对文献的严格调查显示，没有对QoE影响因素和性能指标进行彻底的识别，分类或建模，而不能将其嵌入应用程序中。此外，QoE调查通常集中在特定的CAEV子系统上，实际上不存在广泛的解决方法。在本文中，探索了CAEV的重要性能方面的文献。对最近的进展进行了严格的评估，确定了挑战和差距，并提出了改进建议。为此，在CAEV中为QoE开发了一个详尽的分类法，它具有一组丰富的质量指标和一个框架，该框架有助于将QoE概念集成到系统开发中。预计所提供的文稿将指导，启用，支持，