ITSC 2025 Paper Abstract

Paper FR-LA-T34.3

Gwon, Minwoo (Inha University), Kim, Jiwon (Inha university), Yoo, Seungjun (Inha University), Kim, Kwangki (Inha University)

Smart Integrated Trip Planner for Optimized Driving and Charging of Connected Electric Vehicles

Scheduled for presentation during the Regular Session "S34c-Data-Driven Optimization and Governance in Intelligent Urban Mobility" (FR-LA-T34), Friday, November 21, 2025, 16:40−17:00, Surfers Paradise 1

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Keywords Charging Infrastructure and Energy Management for Autonomous Electric Vehicles, Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) Communication Applications for Traffic Management

Abstract

This paper presents an integrated trip planner for electric vehicles (EVs) that jointly optimizes driving and charging strategies using real-time V2X data and energy consumption prediction. The method formulates a mixed-integer nonlinear program (MINLP) to minimize charging events while satisfying terminal state-of-charge (SoC) constraints. A detailed battery charging model and a real-world battery thermal management (BTM) system are incorporated to capture nonlinear charging dynamics and cooling energy consumption. Case studies using a receding horizon framework and real-world driving scenarios demonstrate improved energy efficiency, accurate battery temperature prediction, and enhanced trip planning performance.