无限驱动：信号交叉口动态无线充电的最优城市布局
Infinite Drive: Optimal Urban Location of Dynamic Wireless Charging at Signalized Intersections
AI总结：
研究通过概率信号模式和基于饱和车头时距建模，建立混合整数规划模型优化信号交叉口动态无线充电布局。以日本川越市为例，揭示基础设施与电池权衡及减排效果，表明优化部署可推动可持续城市交通。
摘要：
动态无线电力传输（DWPT）可消除城市中的插电式充电，但最优城市部署很复杂。本文开发了一个混合整数规划模型，通过概率信号模式和基于饱和车头时距的建模，在信号交叉口动态（加速、减速和与队列位置相关的停留时间）下优化DWPT位置。日本川越市的案例研究表明……
英文摘要：
Dynamic Wireless Power Transfer (DWPT) could eliminate plug-in charging in cities, but optimal urban deployment is complex. This paper develops a mixed-integer programming model that optimizes DWPT location under signalized intersection dynamics -- acceleration, deceleration, and queue-position-dependent dwell time -- through probabilistic signal patterns and saturation headway-based modeling. A case study of Kawagoe City, Japan, shows that electrifying 1.5% of the road network is sufficient to sustain continuous urban EV operation without plug-in charging for the baseline scenario, and at most 2.9% suffices across all tested assumptions. Monte Carlo simulations of continuous trip chains averaging approximately 600 km and reaching up to approximately 800 km confirm that optimized 12 kWh-battery deployments sustain operation in all simulated runs, revealing an infrastructure-battery tradeoff corresponding to roughly 1.7-3.0 tonnes CO2e of avoided battery manufacturing emissions per vehicle relative to a conventional 40 kWh urban EV. These findings position DWPT deployment as an environmentally efficient pathway for sustainable urban mobility when deployed optimally.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
