Kano Model for Enhanced Satisfaction in User-Centric EV Charging and P2P Energy Trading

The rapid increase in electric vehicles (EVs) and vehicle-to-grid technologies motivates and helps enable intelligent EV charging and peer-to-peer (P2P) energy trading systems. While economic incentives are pivotal in existing energy systems with EVs, user satisfaction is emerging as an equally critical factor for their integration. Recent progress in incorporating social psychology perspectives to evaluate and enhance user satisfaction offers a promising solution. However, the translation of these perspectives into technical models for developing usercentric EV charging systems remains unexplored. In this paper, we propose KEPT, a novel Kano-enabled EV charging and P2P energy trading approach, designed with a focus on user-centric methods to enhance user satisfaction. KEPT features a Kanoenabled EV user preference model that formulates EV user satisfaction in terms of five feature dimensions. We further define a preference matrix to capture user preferences, thereby enabling personalized charging and trading. Next, we design a two-stage dynamic programming algorithm to optimize charging and trading decisions, tailored to individual user needs. Finally, simulation results demonstrate the effectiveness of the proposed method.