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<p>The ever-evolving intelligence and wireless connectivity in the driving environment present unprecedented opportunities for enhancing the energy-saving capabilities of road vehicles. Eco-driving showcases clear advantages for promoting traffic efficiency and reducing vehicle energy consumption. Therefore, this study investigates the economic speed characteristics of heterogeneous vehicles with different powertrains and explores the influence of powertrain characteristics on economic speed profiles. To this end, a high-fidelity energy-consumption model is established for electric vehicles (EVs), internal combustion engine vehicles (ICVs), and plug-in hybrid electric vehicles (PHEVs) using various numerical methods. Subsequently, non-cooperative speed optimization, cooperative speed optimization, and approximate cooperative speed optimization are conducted. Finally, a comprehensive multi-objective oriented eco-driving strategy is developed for heterogeneous vehicles to achieve an adaptive tradeoff among overall energy consumption, comfort, and travel efficiency. Simulations verify the effectiveness of the proposed strategy and the impact of economic speed characteristics. The results demonstrate that the proposed strategy enhances the overall energy consumption economy and traffic efficiency while considering different economic speed characteristics. To sum up, this study provides insights into the influence of powertrain characteristics on the economic speed profile and proposes an efficient eco-driving strategy that can effectively improve the energy consumption and travel efficiency of heterogeneous vehicles.</p>

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Multi-objective Eco-driving Speed Optimization of Heterogeneous Vehicles

  • 期刊论文

  • 发表日期：

    2026年4月18日

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  • Yonggang Liu,
  • Jialin He,
  • Bin Huang,
  • Wenjun Pan,
  • Yuanjian Zhang,
  • Zheng Chen

摘要

The ever-evolving intelligence and wireless connectivity in the driving environment present unprecedented opportunities for enhancing the energy-saving capabilities of road vehicles. Eco-driving showcases clear advantages for promoting traffic efficiency and reducing vehicle energy consumption. Therefore, this study investigates the economic speed characteristics of heterogeneous vehicles with different powertrains and explores the influence of powertrain characteristics on economic speed profiles. To this end, a high-fidelity energy-consumption model is established for electric vehicles (EVs), internal combustion engine vehicles (ICVs), and plug-in hybrid electric vehicles (PHEVs) using various numerical methods. Subsequently, non-cooperative speed optimization, cooperative speed optimization, and approximate cooperative speed optimization are conducted. Finally, a comprehensive multi-objective oriented eco-driving strategy is developed for heterogeneous vehicles to achieve an adaptive tradeoff among overall energy consumption, comfort, and travel efficiency. Simulations verify the effectiveness of the proposed strategy and the impact of economic speed characteristics. The results demonstrate that the proposed strategy enhances the overall energy consumption economy and traffic efficiency while considering different economic speed characteristics. To sum up, this study provides insights into the influence of powertrain characteristics on the economic speed profile and proposes an efficient eco-driving strategy that can effectively improve the energy consumption and travel efficiency of heterogeneous vehicles.