2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) 2014
DOI: 10.1109/itec-ap.2014.6941160
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Abstract: This paper firstly proposesa method for modeling charging/swapping load distribution of electric taxi. With this method , Monte Carlo Method and Dijkstra Algorithm are adopted to simulate the electric taxi's operation behavior based on the analysis of its operation characteristics. Then facility optimization model is proposed to minimize the life circle cost (LCC) of charging/swapping facilities and the time value of electric taxi under the constraints of queuing model and the price spread between oil and elec… Show more

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Cited by 5 publications
(4 citation statements)
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“…A case study in Hangzhou, China, was proposed to demonstrate the effectiveness of the methodology. Another example was performed by [75]. A Monte Carlo method and the Dijkstra Algorithm were adopted to simulate electric taxi operations.…”
Section: Electric Taxis (Ets) Approachesmentioning
confidence: 99%
“…A case study in Hangzhou, China, was proposed to demonstrate the effectiveness of the methodology. Another example was performed by [75]. A Monte Carlo method and the Dijkstra Algorithm were adopted to simulate electric taxi operations.…”
Section: Electric Taxis (Ets) Approachesmentioning
confidence: 99%
“…Based on the EVs' waiting time for swapping service and waiting queue length in procedure simulation, most works evaluate the BSS operation from the temporal perspective and propose evaluation indexes such as Availability of Battery Swapping Service per Day (ABSSD) [21], queuing time cost per hour and average queuing length [16]. By the model in section 3, this paper can simulate out the length of the waiting queue at each time with maximizing the profit of BSS under acceptable customer satisfaction requirements.…”
Section: Bss Customer Satisfaction Indexesmentioning
confidence: 99%
“…Swapping demand, the cost for battery, other facilities and the cost for charging should be considered synthetically while allocating the number of batteries for BSS [12]. Previous works [16,17] used queuing theory to solve the EVs' swapping facilities configuration problem, while the expectation result is not applicable for some extreme cases. A multi-objective optimization problem for component capacity of PV based battery swapping station is solved in [13], aiming at maximizing the benefits of economy and environment.…”
Section: Introductionmentioning
confidence: 99%
“…In [3][4][5][6], the research group mainly focused on maximizing the profit to reach optimal charging for electric taxis, minimizing their charging cost in face of time-varying electricity prices and some pricing schemes for electric taxis to track the load profile, whose scope is mainly for cost or benefit optimization from a temporal perspective without consideration of the spatial scope. Besides, other work [7] proposed a facility optimization model to minimize the life circle cost (LCC) of charging/swapping facilities, the time value of electric taxis under the constraints of queuing model and the price spread between oil and electricity. A new dispatching policy also presented in [8] with consideration of the taxi demand, the remaining power of electrical taxis, and the availability of battery charging/switching stations in order to reduce the waiting time for power recharging and thus increase the workable hours for taxi drivers.…”
Section: Introductionmentioning
confidence: 99%