A planning strategy considering multiple factors for electric vehicle charging stations along German motorways

Liu, Jiayan; Peper, Jan; Lin, Gang; Zhou, Yang; Awasthi, Shrutarv; Li, Yong; Rehtanz, Christian

doi:10.1016/j.ijepes.2020.106379

Cited by 48 publications

(19 citation statements)

References 19 publications

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“…An optimal planning method can satisfy the charging demand as well as reducing the construction cost of the charging station [68]. This was done by using an improved approach based on a genetic algorithm to solve the mixed-integer nonlinear optimization problem.…”

Section: Optimization Of Charging Infrastructure Development Planning and Operation Managementmentioning

confidence: 99%

A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India

et al. 2021

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The transportation sector of the world is in the transformation stage, shifting from conventional fossil fuel-powered vehicles to zero or ultra-low tailpipe emission vehicles. To support this transformation, a proper charging station (CS) infrastructure in combination with information technology, smart distributed energy generating units, and favorable government policies are required. The motive of this paper is to address the key aspects to be taken care of while planning for the charging station infrastructure for electric vehicles. The paper also provides major indagation and developments in planning and technological aspects that are going on for the enhancement of the design and efficient management of charging station infrastructure. The paper addresses the present scenario of India related to electric vehicle charging station developments. The paper specially provides a critical review on the research and developments in the charging station infrastructure, the problems associated with it, and the efforts that are going on for its standardization to help the researchers address the problems.

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Section: Optimization Of Charging Infrastructure Development Planning and Operation Managementmentioning

confidence: 99%

A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India

et al. 2021

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“…Straka et al [23] analyzed charging transactions in the Netherlands using clustering algorithms (K-means, dbscan, and cohesive hierarchical clustering) to identify usage related segments of charging stations, which helps to improve the planning of charging infrastructure and the development of smart charging technologies. Liu et al [24] used existing service areas on highways as potential locations for charging infrastructure, clustered the close service areas, and calculated the optimal location of charging stations for each cluster. Gilanifar et al [25] proposed a Gaussian process based on the Clustered Multi-Node Learning (CMNL-GP) method to fuse and learn data from multiple charging stations simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Application of Clustering Algorithms in the Location of Electric Taxi Charging Stations

Liu

et al. 2022

Sustainability

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The reasonable layout of charging stations is an important measure to improve the penetration rate of the electric taxi market. Based on the multi-type clustering algorithm, a widely applicable electric taxi charging stations locating method is proposed. By analyzing the massive gasoline taxi GPS trajectory data, the parking information and charging requirements of electric taxis are extracted, and the research area is divided into reasonable grids. Then, the divided grids are respectively subjected to multiple same-type clustering and multiple multi-type clustering algorithms, so as to help find out the location of the charging station, and a comparative analysis is performed. The empirical analysis shows that the positioning results of the multiple multi-type clustering algorithms are more reasonable than the multiple same-type clustering algorithms, which can effectively prolong the driving distance of electric taxis and save the travel time of drivers.

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“…For instance, Domínguez‐Navarro et al propose a design model to improve profitability of EVCSs, considering renewable generation and energy storage system 6 . In Reference 7, construction cost, drivers' waiting time and drivers' inconvenience fee are incorporated into an optimization model of EVCSs planning, considering multiple social cost scenarios. Meng et al develop a sequential planning strategy of EVCSs for taxis that provides flexibility of construction to alleviate fund loss and resource waste 8 .…”

Section: Introductionmentioning

confidence: 99%

“…However, in the aforementioned publications, the detailed modeling of each individual EV, including routing selection and charging management, is not involved. Specifically, the models proposed in References 6–17 are based on the EV‐related data in specific regions, such as historical travel speed of vehicles within a community, historical charging demand of EVs within a parking garage, and historical density of traffic networks within a city, for determining a general framework for EVCS planning. As a result, the effects of EVCS planning decisions on the charging cost, traveling time, and routing selection of each individual EV cannot be reflected.…”

Section: Introductionmentioning

confidence: 99%

“…This is because the EV fleet operator needs to ensure that each customer is served properly with the lowest charging cost, along with time and energy consumption. Therefore, the proposed methods in References 6–17 are inadequate to tackle the car‐sharing business model. It should be noted that customers' requirements for pickup and delivery further necessitate the detailed routing selection modeling, as their pickup and delivery locations must be passed in sequence.…”

Section: Introductionmentioning

confidence: 99%

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Optimal planning of charging stations for an electric vehicle fleet in c ar‐sharing business

Wang

Tang

Lai

et al. 2021

Int Trans Electr Energ Syst

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Summary With the increasing market share of electric vehicles (EVs), optimizing the planning decisions of charging stations becomes critical to support long‐distance traveling. Besides, the booming car‐sharing industry provides an alternative business model to enhance the utilization of vehicle resources. Recently, several car‐sharing enterprises have launched the collaborations with charging station construction companies to construct their own charging facilities, which calls for the co‐optimization of charging station planning and scheduling of EVs in car‐sharing business. Therefore, this paper develops an optimization model for electric vehicle charging stations placements and type selections, considering routing selection and charging management of an electric vehicle fleet in car‐sharing business. Specifically, a stochastic programming framework is exploited to incorporate a variety of operating scenarios, which reflect the uncertainties of riders' requirements, drivers' itineraries, traffic flow information, and electricity prices. The proposed model aims to improve the welfare of all riders and reduce total cost of fulfilling riders' pickup and delivery requirements simultaneously, in which determining the optimal locations and types of charging facilities is required. Moreover, portfolio management is integrated into the optimization model to mitigate investment risk. After a series of reformulation, the proposed optimization model can be recast into a mixed‐integer linear programming problem. Using two transportation networks, the effectiveness of the proposed model is validated in numerical studies. It finds that the optimal electric vehicle charging station planning strategy is determined according to the operator's preferences, electricity prices, and installation budgets. Moreover, diversity within operating scenarios yields the positive value‐of‐stochastic‐solution that demonstrates the necessity of implementing stochastic programming.

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A planning strategy considering multiple factors for electric vehicle charging stations along German motorways

Cited by 48 publications

References 19 publications

A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India

A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India

Application of Clustering Algorithms in the Location of Electric Taxi Charging Stations

Optimal planning of charging stations for an electric vehicle fleet in c ar‐sharing business

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