Integration of charging behavior into infrastructure planning and management of electric vehicles: A systematic review and framework

Patil, Priyadarshan N.; Kazemzadeh, Khashayar; Bansal, Prateek

doi:10.1016/j.scs.2022.104265

Cited by 52 publications

(14 citation statements)

References 87 publications

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“…The genetic algorithm is adopted to solve the above optimization problem in this study. The optimization variable in the configuration method is determined as the number of charging piles, with its search range constrained in accordance with Equations ( 14)- (17).…”

Section: Constraint Conditionsmentioning

confidence: 99%

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Electric Vehicle Charging Facility Configuration Method for Office Buildings

et al. 2023

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With the advent of advanced battery technology, EVs are gradually gaining momentum. An appropriate decision-making method for the number of charging piles is in need to meet charging needs, and concurrently, to avoid the waste of infrastructure investment. In this study, an optimal charging pile configuration method for office building parking lots is proposed. With the determination of the design period of charging facilities, a charging load prediction model is established under a collection of charging scenarios. Taking the average utilization rate of charging facilities and the average satisfaction rate of charging demand as the objective functions, the distribution of the optimal number of piles is obtained with the genetic algorithm. The benefits of the configuration method are also explored under the building demand response process. The results show that the optimal configuration of charging piles in office buildings with different volumes have similar characteristics. When the design period is 5 years and 10 years, the comprehensive indicator of the utilization rate of the charging facilities and the satisfaction rate of the charging demand can, respectively, be improved by 8.18% and 17.45%. Moreover, the reasonable scheduling strategy can realize the load regulation response with a maximum load transfer rate of 25.55%.

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Section: Constraint Conditionsmentioning

confidence: 99%

“…To address this issue, an accurate EV charging load prediction model is required as a basis for the configuration of charging facilities in building parking lots [17]. The influencing factors and characteristics of the EV charging load need to be explored and analyzed [18,19].…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicle Charging Facility Configuration Method for Office Buildings

et al. 2023

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“…Charging these e-2Ws owned by fleet operators at captive plug-in facilities could significantly increase either the vehicle downtime or the capital expenditure and act as a deterrent for future EV adoption. Henceforth, for supporting the widespread transition to these EVs in commercial usage, proper planning and establishment of appropriate public charging facilities remain critical ( 60 ).…”

Section: Potential Of Battery Swapping In Boosting E-2w Salesmentioning

confidence: 99%

Emerging Opportunities for Battery Swapping in the Electric Two-Wheeler Segment in India

Kumar¹,

Singh²

2023

Transportation Research Record: Journal of the Transportation R

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With greenhouse gas (GHG) emissions and mobility being inextricably linked, the Indian government has introduced a slew of policies to decarbonize transportation and transition toward electric mobility. Though electric vehicle penetration is currently at a nascent stage, India offers the world’s largest untapped market, especially in the two-wheeler (2W) segment. However, high upfront purchase costs, scarcity of charging-enabled parking spaces, and longer charging times have been the major challenges in accelerating electric two-wheeler (e-2W) adoption in India. Addressing these issues, battery swapping is an alternative fast refueling option that eliminates wait time for charging, makes better use of land, and promises increased available run time. This paper analyzes the status of e-2W adoption, their total cost of ownership (TCO), and the growth trajectory of e-2Ws in three different scenarios of sales penetration to estimate the battery capacity requirements for battery swapping by 2030. The TCO analysis suggests that e-2Ws are more economical for commercial than private usage because of their higher daily utilization; however, battery swapping makes e-2Ws economical even for private usage. By 2030, the cumulative number of e-2Ws is estimated to increase from 17.4 million with a 20% sales penetration of e-2Ws (pessimistic scenario) to 54.4 million with an 80% sales penetration (optimistic scenario). Noting the additional battery pack requirements for the battery-swapping option, India is estimated to require a staggering figure of 133–291 GWh, 75–162 GWh, and 42–91 GWh of battery capacities under the optimistic, realistic, and pessimistic sales scenarios respectively.

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“…Specifically, Yi et al studied the NEV market in China and found a positive correlation between the proportion of charging piles and NEV ownership [ 23 ]. By integrating the infrastructure of charging piles, it is proved that the diffusion of electric vehicles is closely correlated to the charging behaviours and the quantity of charging facilities [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Road Transport Decarbonisation: The Scenario Analysis of New Energy Vehicle in China

Chen

You

Liu³

et al. 2023

IJERPH

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Due to the prosperous development of the economy, the emissions of carbon dioxide (CO2) and other greenhouse gases (GHGs) have intensified and attracted attention worldwide. China has set the “dual-carbon” aim to pursue sustainable development in the transport sector. Thus, this study created a generalised Bass model to forecast new energy vehicle (NEV) ownership by introducing a new factor, charging piles, to reflect the infrastructure effects. Using the improved model with the hypothesis of annual mileage, an empirical analysis was conducted with the subject of NEVs in China by using the NEV-related panel data from 2010 to 2020, and the forecast result is outstanding with a goodness-of-fit of 99.7%. With the forecasts, carbon emission reduction was calculated with a bottom-up method. To further discuss the pathway to achieve carbon neutrality in the transport sector of China, a scenario analysis was conducted with ideal, enhanced, and radical constraints. The results show that if all factors remain “as is” until 2050, China will be far from carbon neutrality. Thus, this paper proposes relevant policy implications to assist the government to obtain effective methods to assess carbon reduction benefits and find viable pathways to a sustainable road transport system.

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Integration of charging behavior into infrastructure planning and management of electric vehicles: A systematic review and framework

Cited by 52 publications

References 87 publications

Electric Vehicle Charging Facility Configuration Method for Office Buildings

Electric Vehicle Charging Facility Configuration Method for Office Buildings

Emerging Opportunities for Battery Swapping in the Electric Two-Wheeler Segment in India

A Sustainable Road Transport Decarbonisation: The Scenario Analysis of New Energy Vehicle in China

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