Academic Journal of Engineering and Technology Science, 2025, 8(5); doi: 10.25236/AJETS.2025.080514.
Yanfei Wang1, Yibo Xiang2, Xiao Lu2, Renxin Guo1, Rui Ke1, Jinwei Zhang1
1Kunming Metallurgy College, Kunming, 650033, China
2Kunming Urban Planning and Design Institute, Kunming, 650051, China
As a demonstration province for plateau green energy, Yunnan has seen a rapid rise in new energy vehicle (NEV) penetration. However, the contradiction between supply and demand of charging infrastructure and efficiency bottlenecks urgently need to be addressed. Taking the Economic Development Zone of Qujing City as a typical case, this study establishes a "space-time-technology" three-dimensional evaluation system, integrates intelligent dispatching and green energy technologies, and proposes an optimized plan for charging facilities with plateau characteristics. The research reveals that the distribution of charging piles in Qujing features "concentration in urban areas, shortage along highways, and absence in scenic spots", and charging efficiency is significantly affected by power grid load and equipment aging. By means of GIS-based data collection APPs, AI image recognition for automatic statistics on the type and status of charging piles, and questionnaires, an analysis of the usage, space, time, and technology of NEV charging facilities in Qujing shows that: the number of charging piles in the Economic Development Zone of Qujing currently lags far behind the growth rate of NEVs, with an imbalanced vehicle-to-pile ratio and uneven distribution. To address the problems of NEV charging piles in the Economic Development Zone of Qujing, this paper puts forward the following planning suggestions: optimize the spatial layout of charging piles, focus on filling the gaps of charging facilities along highways and in scenic spots, and promote the construction of "wind-solar-storage-charging integrated" stations; implement an intelligent dispatching system and time-of-use electricity pricing strategy to guide off-peak charging and narrow the peak-valley difference of the power grid; strengthen the standardized management of charging facilities and regulate platform operation and construction access conditions; promote high-power charging piles, IoT-based intelligent regulation, and vehicle-grid integration technologies; ensure the stability of power supply, promote regional coordinated planning, and build a new energy travel ecosystem in the central Yunnan urban agglomeration, so as to provide a systematic solution for the efficient development of charging infrastructure in Qujing. After the overall implementation of the plan, the carbon emission intensity in the transportation sector of the Economic Development Zone is expected to decrease by 23%, contributing to the achievement of the "14th Five-Year Plan" target of reducing energy consumption per unit of GDP.
Electric Vehicle; Charging Station; Energy Conservation and Emission Reduction; Intelligent Dispatching
Yanfei Wang, Yibo Xiang, Xiao Lu, Renxin Guo, Rui Ke, Jinwei Zhang. Dilemmas in Developing Electric Vehicle Charging Infrastructure in Qujing: Causes and Solutions. Academic Journal of Engineering and Technology Science (2025), Vol. 8, Issue 5: 101-106. https://doi.org/10.25236/AJETS.2025.080514.
[1] Sun, J. M. Development model of the electric vehicle industry industrialization [J].High- Technology & Industrialization, 2012(7): 4. DOI: CNKI: SUN:GKFC.0.2012-07-020.
[2] Feng, M. R. Construction of highways and tunnels in China [C]// International Tunnel Symposium and Highway Construction Technology Exchange Conference. World Road Association, 2002.
[3] Gao, D. X., Liang, K., Hou, J. J., et al. Design of mobile monitoring and fault diagnosis system for electric vehicle charging piles [J]. Journal of Qingdao University of Science and Technology (Natural Science Edition), 2019, 40(3). DOI: 10.16351/j.1672-6987.2019.03.017.
[4] Li, Y., Yang, W. H., Shen, J. W., et al. Countermeasures and suggestions for the development and promotion of new energy vehicle industry in Yunnan Province [J]. China Development, 2016, 16(2): 2. DOI: 10.3969/j.issn.1671-2404.2016.02.015.