The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station pe...The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station performance by analyzing power consumption efficiency,station utilization rates,no-power session occurrences,and CO_(2)reduction metrics.A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization.Results indicate a strong correlation between station utilization and energy efficiency,highlighting the importance of strategic station placement.The findings also emphasize the impact of no-power sessions on network inefficiency and the need for real-time station monitoring.CO_(2)reduction analysis demonstrates that optimizing EV charging performance can significantly contribute to sustainability goals.Based on these insights,this study recommends the implementation of predictive maintenance strategies,real-time user notifications,and diversified provider networks to improve station availability and efficiency.The proposed data-driven framework offers actionable solutions for policymakers,charging network operators,and urban planners to enhance EV infrastructure reliability and sustainability.展开更多
Electric vehicles(EVs)are gaining popularity across the globe.Various initiatives are being implemented to ensure that most of the operating vehicles on public roadways are EVs by 2050.Such initiatives include the con...Electric vehicles(EVs)are gaining popularity across the globe.Various initiatives are being implemented to ensure that most of the operating vehicles on public roadways are EVs by 2050.Such initiatives include the construction of charging stations to improve EV charging accessibility.The utilization of the charging stations has not been explored to a great extent,despite its importance in future installations in various cities.This study evaluated the EV station utilization across eleven cities in three countries:the United States,Canada,and Scotland.The Negative Binomial(NB)regression model was applied to understand the influence of the spatial–temporal factors on the daily utilization of EV charging stations.In addition to the overall analysis,countryspecific analyses were also performed.It was revealed that there is a great variation in daily EV utilization across the cities in different countries and within the country.In fact,only stations in Crieff,Scotland,showed lower predicted daily utilization,while cities in the United States had over two times predicted daily utilization compared to stations in Aberfeldy,Scotland.Furthermore,the longer the station has been in service,the higher the daily utilization,although there was significant variation across cities.Further,the day of the week and months of the year depicted consistent utilization patterns for Scotland and the United States but showed mixed findings for Canada.The study findings can help planners and policymakers improve the allocation of EV charging stations.展开更多
The current increase in the number of electric vehicles in Germany requires an adequately developed charging infrastructure.Large numbers of public and semi-public charging stations are necessary to ensure sufficient ...The current increase in the number of electric vehicles in Germany requires an adequately developed charging infrastructure.Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage of charging options.In order to make the installation worthwhile for the mostly private operators as well as public ones,a sufficient utilization is decisive.This paper gives an overview of the differences in the utilization across the public charging infrastructure in Germany.To this end,a dataset on the utilization of 21164 public and semi-public charging stations in Germany is evaluated.The installation and operating costs of various charging stations are modeled and economically evaluated in combination with the utilization data.It is shown that in 2019-2020,the average utilization in Germany was rather low,albeit with striking regional differences.We consider future scenarios allowing the regional development forecasting of economic viability.It is demonstrated that a growth in electric mobility of 20%-30%per year leads to a large number of economically feasible charging parks in urban agglomeration areas.展开更多
文摘The increasing global adoption of electric vehicles(EVs)has led to a growing demand for a cost-effective and reliable charging infrastructure.This study presents a novel data-driven approach to assessing EV station performance by analyzing power consumption efficiency,station utilization rates,no-power session occurrences,and CO_(2)reduction metrics.A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization.Results indicate a strong correlation between station utilization and energy efficiency,highlighting the importance of strategic station placement.The findings also emphasize the impact of no-power sessions on network inefficiency and the need for real-time station monitoring.CO_(2)reduction analysis demonstrates that optimizing EV charging performance can significantly contribute to sustainability goals.Based on these insights,this study recommends the implementation of predictive maintenance strategies,real-time user notifications,and diversified provider networks to improve station availability and efficiency.The proposed data-driven framework offers actionable solutions for policymakers,charging network operators,and urban planners to enhance EV infrastructure reliability and sustainability.
文摘Electric vehicles(EVs)are gaining popularity across the globe.Various initiatives are being implemented to ensure that most of the operating vehicles on public roadways are EVs by 2050.Such initiatives include the construction of charging stations to improve EV charging accessibility.The utilization of the charging stations has not been explored to a great extent,despite its importance in future installations in various cities.This study evaluated the EV station utilization across eleven cities in three countries:the United States,Canada,and Scotland.The Negative Binomial(NB)regression model was applied to understand the influence of the spatial–temporal factors on the daily utilization of EV charging stations.In addition to the overall analysis,countryspecific analyses were also performed.It was revealed that there is a great variation in daily EV utilization across the cities in different countries and within the country.In fact,only stations in Crieff,Scotland,showed lower predicted daily utilization,while cities in the United States had over two times predicted daily utilization compared to stations in Aberfeldy,Scotland.Furthermore,the longer the station has been in service,the higher the daily utilization,although there was significant variation across cities.Further,the day of the week and months of the year depicted consistent utilization patterns for Scotland and the United States but showed mixed findings for Canada.The study findings can help planners and policymakers improve the allocation of EV charging stations.
基金supported by the Federal Ministry for Economic Affairs and Energy(No.01MZ18006G).
文摘The current increase in the number of electric vehicles in Germany requires an adequately developed charging infrastructure.Large numbers of public and semi-public charging stations are necessary to ensure sufficient coverage of charging options.In order to make the installation worthwhile for the mostly private operators as well as public ones,a sufficient utilization is decisive.This paper gives an overview of the differences in the utilization across the public charging infrastructure in Germany.To this end,a dataset on the utilization of 21164 public and semi-public charging stations in Germany is evaluated.The installation and operating costs of various charging stations are modeled and economically evaluated in combination with the utilization data.It is shown that in 2019-2020,the average utilization in Germany was rather low,albeit with striking regional differences.We consider future scenarios allowing the regional development forecasting of economic viability.It is demonstrated that a growth in electric mobility of 20%-30%per year leads to a large number of economically feasible charging parks in urban agglomeration areas.
