Volume 68

User-Centric Intelligent Remote Control System for V2G: Integrating MPC Edge Charging Scheduling and In-Vehicle Dynamic QoS Yuanmeng Gao, Shuo Wang, Zhongxu Guan, Dongxin Wang, Chenglin Gong

Abstract

The proliferation of electric vehicles demands user-friendly remote control interfaces that empower EV owners to participate in vehicle-to-grid (V2G) programs. This paper presents a user-centric intelligent remote control system integrating mobile application interfaces, T-Box edge intelligence, and software-defined networking (SDN)-based in-vehicle QoS management. A hierarchical architecture is proposed featuring a React Native mobile application with real-time feedback; an MPC-based T-Box controller for intelligent charging scheduling; and a three-tier end-to-end QoS chain comprising T-Box egress HTB/tc priority scheduling, cellular modem DSCP-based air-interface scheduling, and operator QCI-guaranteed dedicated bearer — validated on a production T-Box platform. Simulation under 200-vehicle-scale scenarios combined with hardware-level QoS chain verification demonstrates 92% user satisfaction, 1.2-second average command response time (79% improvement over baseline), 31.5% charging cost reduction, and zero HAD video frame drops.

Keywords V2G remote control, model predictive control, in-vehicle QoS, edge computing