Energy efficiency optimization of passenger vehicles considering aerodynamic wake flow influence in car-following scenarios

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy Pub Date : 2025-05-10 DOI:10.1016/j.energy.2025.136501

Zhenzhen Lei , Wenjun Wan , Along Xue , Chao Zeng , Yuanjian Zhang , Zheng Chen , Yonggang Liu

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引用次数: 0

Abstract

Air resistance plays a crucial role in enhancing fuel efficiency and reducing emissions in vehicle platoons. This paper examines the impact of passenger vehicle’s wake flow on drag reduction in various following scenarios and proposes an efficient following strategy to optimize fuel economy while ensuring vehicle safety. First, the outflow field of passenger vehicle queue is theoretically analyzed, and an aerodynamic simulation model is established. Next, an equivalent drag coefficient estimation method is introduced by incorporating vehicle speed and following distance. Furthermore, a following through control strategy for drag reduction is proposed based on the estimation model. To optimize both safety and drag reduction in real driving conditions, a soft constraint on the equivalent drag coefficient is applied using flexible boundary conditions. Simulation results demonstrate that the proposed following through control strategy, with adaptive drag reduction, can reduce the equivalent drag coefficient by up to 10.77 % and improve average energy efficiency by 9.76 %, highlighting the significant potential of following drag reduction in autonomous driving.

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考虑气动尾流影响的乘用车跟车能效优化

空气阻力在提高车辆排的燃油效率和减少排放方面起着至关重要的作用。本文研究了不同跟随工况下乘用车尾流对减阻的影响，提出了一种有效的跟随策略，在保证车辆安全的同时优化燃油经济性。首先，对乘用车队列的出流场进行了理论分析，并建立了气动仿真模型。然后，引入了一种结合车速和跟车距离的等效阻力系数估计方法。在此基础上，提出了一种基于估计模型的减阻跟随控制策略。为了在实际驾驶条件下兼顾安全性和减阻，采用柔性边界条件对等效阻力系数进行软约束。仿真结果表明，采用自适应减阻的跟随着控制策略，可将等效阻力系数降低10.77%，平均能效提高9.76%，显示出自动驾驶中跟随着减阻的巨大潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy 工程技术-能源与燃料

CiteScore

15.30

自引率

14.40%

发文量

审稿时长

14.2 weeks

期刊介绍： Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.