An optimization model for a battery swapping station in Hong Kong

Tony Hao Wu; Grantham K.H. Pang; King Lun Tommy Choy; H. Y. Lam

doi:10.1109/ITEC.2015.7165769

An optimization model for a battery swapping station in Hong Kong

Tony Hao Wu, Grantham K.H. Pang, King Lun Tommy Choy, H. Y. Lam

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

21 Citations (Scopus)

Abstract

In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability of the batteries in stock, and at the same time determine the best strategy for recharging the batteries on hand. By optimizing the charging method of the batteries, an optimization model of BSS with the maximum number of batteries in stock has been developed for the bus terminal at the Hong Kong International Airport. The secondary objective would be to minimize a cost on the batteries due to the use of different charging schemes. The genetic algorithm (GA) has been used to implement the optimization model, and simulation results are shown.

Original language	English
Title of host publication	2015 IEEE Transportation Electrification Conference and Expo, ITEC 2015
Publisher	IEEE
ISBN (Electronic)	9781467367417
DOIs	https://doi.org/10.1109/ITEC.2015.7165769
Publication status	Published - 23 Jul 2015
Event	IEEE Transportation Electrification Conference and Expo, ITEC 2015 - Dearborn, United States Duration: 14 Jun 2015 → 17 Jun 2015

Conference

Conference	IEEE Transportation Electrification Conference and Expo, ITEC 2015
Country/Territory	United States
City	Dearborn
Period	14/06/15 → 17/06/15

Keywords

Battery charging methods
Battery swapping station
Electric vehicle
Genetic algorithm

ASJC Scopus subject areas

Automotive Engineering
Electrical and Electronic Engineering
Transportation

More information

10.1109/ITEC.2015.7165769

Cite this

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title = "An optimization model for a battery swapping station in Hong Kong",

abstract = "In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability of the batteries in stock, and at the same time determine the best strategy for recharging the batteries on hand. By optimizing the charging method of the batteries, an optimization model of BSS with the maximum number of batteries in stock has been developed for the bus terminal at the Hong Kong International Airport. The secondary objective would be to minimize a cost on the batteries due to the use of different charging schemes. The genetic algorithm (GA) has been used to implement the optimization model, and simulation results are shown.",

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An optimization model for a battery swapping station in Hong Kong. / Wu, Tony Hao; Pang, Grantham K.H.; Choy, King Lun Tommy et al.
2015 IEEE Transportation Electrification Conference and Expo, ITEC 2015. IEEE, 2015. 07165769.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Wu, Tony Hao

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AU - Choy, King Lun Tommy

AU - Lam, H. Y.

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N2 - In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability of the batteries in stock, and at the same time determine the best strategy for recharging the batteries on hand. By optimizing the charging method of the batteries, an optimization model of BSS with the maximum number of batteries in stock has been developed for the bus terminal at the Hong Kong International Airport. The secondary objective would be to minimize a cost on the batteries due to the use of different charging schemes. The genetic algorithm (GA) has been used to implement the optimization model, and simulation results are shown.

AB - In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability of the batteries in stock, and at the same time determine the best strategy for recharging the batteries on hand. By optimizing the charging method of the batteries, an optimization model of BSS with the maximum number of batteries in stock has been developed for the bus terminal at the Hong Kong International Airport. The secondary objective would be to minimize a cost on the batteries due to the use of different charging schemes. The genetic algorithm (GA) has been used to implement the optimization model, and simulation results are shown.

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An optimization model for a battery swapping station in Hong Kong

Abstract

Conference

Keywords

ASJC Scopus subject areas

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