Locating battery supplying infrastructures for electric taxies

ABSTRACT

Vehicle electrification can help to decrease environmental pollution. But fast electricity consumption and inconvenient recharging service restrict the widespread adoption of electric vehicles, especially in the taxi industry. This paper attempts to solve a problem of locating battery supplying infrastructures for electric taxies. The problem involves the integration of two inter-related decision sub-problems: location optimization of charging centers, location optimization of battery-exchanging stations (BESs). To solve it, minimal cost model and corresponding algorithm are designed. Then, a case study of Dalian, China is conducted to show the effectiveness of our model and algorithm. Computational results can provide the government with good insight into how to realize taxi electrician and therefore contribute to the further planning of vehicle electrification system.

KEYWORDS:

• Electric taxi
• charging center
• Battery-exchanging stations (BESs)
• location optimization

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 71571026], [grant number 51578112]; Liaoning Excellent Talents in University [grant number LR2015008] and the Fundamental Research Funds for the Central Universities [grant number YWF-16-BJ-J-40], [grant number DUT16YQ104]. This work is partially funded by Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University.