Scholarlink

Vietnam is accelerating its electric mobility transition to meet national net-zero targets, yet the energy benefits of this shift remain underexplored under real-world traffic conditions. This study develops a Simcenter AMESim-based energy consumption model using Hanoi-specific, GPS-derived driving cycles to quantify the efficiency improvement of electric vehicles (EVs) compared with internal combustion engine vehicles (ICEVs). The model is validated with manufacturer data (error < 3%) and applied to four representative vehicle segments - sedan, hatchback, van, and SUV - under three traffic scenarios: Urban Peak, Urban Off-peak, and Highway. ICEV fuel consumption data (L/100 km) are converted into equivalent energy (Wh/km) using the lower heating value of gasoline for consistent comparison. Results show that EVs consume 14–60% less energy, with the greatest advantage observed in urban peak traffic due to regenerative braking and higher part-load efficiency. These findings provide quantitative insights into the energy impacts of Hanoi’s green-vehicle transition, offering a data-driven reference for policymakers and infrastructure planners to support Vietnam’s sustainable transport strategies.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Energy Consumption Assessment of Electric Vehicle Transition in Hanoi Using Simcenter AMESim

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Le Hue Tai Minh,
  • Tran Trong Dat,
  • Dam Hoang Phuc,
  • Le Van Nghia,
  • Nguyen Quoc Trieu

摘要

Vietnam is accelerating its electric mobility transition to meet national net-zero targets, yet the energy benefits of this shift remain underexplored under real-world traffic conditions. This study develops a Simcenter AMESim-based energy consumption model using Hanoi-specific, GPS-derived driving cycles to quantify the efficiency improvement of electric vehicles (EVs) compared with internal combustion engine vehicles (ICEVs). The model is validated with manufacturer data (error < 3%) and applied to four representative vehicle segments - sedan, hatchback, van, and SUV - under three traffic scenarios: Urban Peak, Urban Off-peak, and Highway. ICEV fuel consumption data (L/100 km) are converted into equivalent energy (Wh/km) using the lower heating value of gasoline for consistent comparison. Results show that EVs consume 14–60% less energy, with the greatest advantage observed in urban peak traffic due to regenerative braking and higher part-load efficiency. These findings provide quantitative insights into the energy impacts of Hanoi’s green-vehicle transition, offering a data-driven reference for policymakers and infrastructure planners to support Vietnam’s sustainable transport strategies.