A Bi-objective battery dispatching model of taxi battery swapping station network considering green power consumption

Shuo Zhang, Xinxin Li, Yingzi Li and Jin Xue

Renewable Energy, 2025, vol. 239, issue C

Abstract: Taxi electrification is essential for promote green and low-carbon development of urban transportation and important path to realize energy transition and dual-carbon goals in China. It's a key issue on how to provide optimal battery dispatching scheme by battery swapping station network (BSSN) to satisfy taxi demands, considering charging costs as well as friendly consumption for green power. For this purpose, firstly, a battery dispatching framework of BSSN is proposed, including two phases, charging process considering fitting for green power and dispatching process meeting taxi swapping demands. Secondly, a bi-objective dispatching model is built, taking both operation cost and green power fitting degree into account, comprehensive constraints of taxi demand, battery device, BSSN, etc. and improved Particle Swarm Optimization (PSO) is applied to resolve the model. Finally, a BSSN case study of a first-tier city in China is carried out, verifying the validity of dispatching scheme provided by the bi-objective model and analyzing the sensitivity of key factors such as dispatching vehicle load, decision-making preferences and battery capacity of distribution centers. The results show that the bi-objective dispatching model of BSSN is of significance in battery dispatching and charging for taxi demand and fitting green power from perspectives of BSSN.

Keywords: Electric taxi; Battery swapping station network; Green power consumption; Dispatching model; Path optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:239:y:2025:i:c:s0960148124022304

DOI: 10.1016/j.renene.2024.122162

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