This literature review systematically examines the state-of-the-art research on electric vehicle (EV) integration with power systems, focusing on charging demand characterization, infrastructure planning, charging/discharging scheduling, and vehicle-to-grid (V2G) interactions under demand response mechanisms and electricity market environments. The review highlights that accurate prediction of EV charging load, considering both temporal and spatial uncertainties, is fundamental for grid stability and facility planning. Studies have evolved from using survey data and Monte Carlo simulations to advanced models incorporating Markov chains and traffic flow theory. In infrastructure planning, research emphasizes the dual attributes of EV charging stations as transport and electrical facilities, advocating for coordinated planning with distributed energy resources while considering both distribution and transportation network constraints. For charging scheduling, the literature distinguishes between aggregator-based coordination and price-driven strategies, with growing attention to V2G technologies that enable bidirectional power flow. The review extensively covers demand response frameworks, comparing price-based and incentive-based mechanisms for regulating EV charging behavior. In electricity market contexts, EV aggregators face challenges in day-ahead bidding and real-time charging regulation under uncertainties from both EV behavior and market prices. Recent advances include game-theoretic approaches for aggregator-user interactions and risk-averse bidding strategies. The review also explores emerging research on power-transportation coupling networks, incorporating user rationality analysis and dynamic traffic flow models. Furthermore, it examines charging pricing mechanisms, from fixed and nodal marginal pricing to optimization-based strategies within Stackelberg game frameworks. Finally, the review addresses multi-energy systems integrating EV charging with hydrogen and natural gas refueling in integrated energy service stations, highlighting the complexity of heterogeneous traffic flows and multi-energy coordination. Overall, the literature reveals critical research gaps in coupled network modeling, bounded user rationality, computational efficiency for real-time scheduling, and comprehensive theoretical frameworks for coordinated planning of EV facilities and distributed energy resources.