Abstract
The power exchange mode is widely applied in the rental field as an efficient energy supply method for new energy vehicles. The power supply-demand relationship analysis swaps. In particular, the quantitative spatial analysis of sub-regions is of great significance for optimizing the spatial layout of power swapping stations, better operation of taxis, and more efficient power swapping stations. Therefore, this paper analyzes the correlation between the ten states of taxis and the corresponding power exchange. The present analysis targets the limitations in the existing methods to analyze the power exchange supply and demand and utilizing the big data pertaining to real-time taxi operation, order-taking mode, and station-swapping operation. As per the correlations, a calculation method is established to determine the power exchange demand based on the location where the orders are received and the matching method of the power exchange supply and demand. Besides verifying the scientific nature and feasibility of the method empirically, this study also ensured its great flexibility, which allows it to adapt to more complicated social scenarios. The big data analysis indicates that determining the spatial distribution of demand based on the location from where the taxi orders are received is far more rational and practical. Thus, this study has a vital role in guiding the location and layout of interchange stations.
Highlights
The transportation sector has a significant influence on the plans to achieve carbon neutrality
The vehicle scale prediction based on the Bass model does consider the reality that the rental field is franchised by the government, which results in a low correlation between the total scale of taxis and the replacement of petrol-engine vehicles with new energy vehicles (NEVs)
This paper analyzes the problems of overly theoretical, imprecise and inaccurate demand quantification in the current analysis of power exchange supply-demand relationship, relying on the real-time GPS of Beijing, the number of received orders and power exchange operation
Summary
The transportation sector has a significant influence on the plans to achieve carbon neutrality. Existing literature on the supply-demand relationship of battery replacement emphasizes the theoretical discussion regarding charging and switching modes and spatial layout (He et al, 2021). Some studies that explore the benefits and costs of the supply-demand relationship of battery exchange adopt a traditional classic model or the improved classic model (Zhou et al, 2013). Most studies are limited to theoretical results and lack supporting empirical evidence, leading to weaker policy guidance in the analysis of the supply and demand relationship of battery replacement and the optimization of the spatial layout of the battery exchange. The vehicle scale prediction based on the Bass model does consider the reality that the rental field is franchised by the government, which results in a low correlation between the total scale of taxis and the replacement of petrol-engine vehicles with new energy vehicles (NEVs)
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