车用终端综合能源站关键技术与系统优化发展动态分析

Analysis of the Development Dynamics of Key Technologies and System Optimization for Vehicle Terminal Integrated Energy Stations

  • 摘要: 【目的】随着交通能源低碳化与数字化转型的加速推进,车用终端综合能源站(Vehicle Terminal-Integrated Energy Station,VT-IES)作为支撑绿色交通和能源智能化的重要枢纽,正逐渐成为学界和产业界关注的焦点。系统梳理该领域的研究脉络与技术演进特征,有助于揭示研究路径间的内在联系,提炼核心技术,并探索可持续优化方向。【方法】运用CiteSpace,以2015–2024年间国内外VT-IES相关研究文献为数据来源,采用关键词共现、聚类与时间线演化分析方法,对该领域的研究热点、前沿主题与发展趋势进行了可视化与细致总结。【结果】对国内外研究成果进行对比分析发现,国际研究在VT-IES领域更强调系统建模与多目标优化,形成了较为成熟的技术体系,尤其在鲁棒控制、随机优化与深度强化学习等前沿方法方面积累了丰富经验,能够较好地应对复杂不确定环境下的系统调度问题;而国内研究则更多以应用场景为驱动,重点关注充电桩布局、电动汽车充放电过程与需求响应协同调度,推动了VT-IES在城市交通与区域能源系统中的实际应用。此外,从演进趋势来看,该领域技术体系正呈现多维发展特征:①多能协同调度成为核心议题;②交通场景与能源系统深度融合;③智能化调控手段逐步渗透。【结论】VT-IES的相关研究已在国际与国内形成了差异化发展格局。国际研究的优势在于方法论与理论体系的完备性,国内研究的特色则在于紧密贴合本土应用场景。未来应吸收国际先进经验,结合国内交通能源转型的实际需求,构建面向多能互补与智能优化的研究框架,从而推动交通能源系统的高效、清洁与创新发展。

     

    Abstract: Objective With the accelerated advancement of low-carbon and digital transformation of transportation Energy, the Vehicle Terminal-Integrated Energy Station (VT-IES) serves as an important hub supporting green transportation and intelligent energy. It is gradually becoming the focus of attention in both the academic and industrial circles. A systematic review of the research context and technological evolution characteristics in this field can help reveal the intrinsic connections among research paths, distill core technologies, and explore sustainable optimization directions. Methods In this paper, CiteSpace was employed, and the relevant research literature of VT-IES at home and abroad from 2015 to 2024 was taken as the data source. The methods of keyword co-occurrence, clustering and timeline evolution analysis were adopted to visualize and summarize in detail the research hotspots, frontier themes and development trends in this field. Results A comparative analysis of research achievements at home and abroad shows that international research places more emphasis on system modeling and multi-objective optimization in the field of VT-IES, forming a relatively mature technical system. Especially in cutting-edge methods such as robust control, stochastic optimization, and deep reinforcement learning, rich experience has been accumulated, which can better deal with system scheduling problems in complex and uncertain environments. Domestic research, on the other hand, is more driven by application scenarios, with a focus on the layout of charging piles, the coordinated scheduling of the charging and discharging process of electric vehicles and demand response, which has promoted the practical application of VT-IES in urban transportation and regional energy systems. Furthermore, from the perspective of the evolution trend, the technical system in this field is presenting multi-dimensional development characteristics: First, multi-energy collaborative dispatching has become a core issue; second, the deep integration of transportation scenarios and energy systems; third, intelligent regulation and control methods are gradually penetrating. Conclusion The related research on VT-IES has formed a differentiated development pattern both internationally and domestically. The advantage of international research lies in the completeness of its methodology and theoretical system, while the characteristic of domestic research is its close alignment with local application scenarios. In the future, we should draw on international advanced experience, combine the actual needs of China's transportation energy transformation, and build a research framework oriented towards multi-energy complementarity and intelligent optimization, so as to promote the efficient, clean and innovative development of the transportation energy system. 

     

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